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Human Development
Report
2014
Sustaining Human Progress:
Reducing Vulnerabilities and Building Resilience
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The 2014
Human Development Report
is
the latest in the series of global Human
Development Reports published by UNDP
since 1990 as independent, empirically
grounded analyses of major development
issues, trends and policies.
Additional resources related to the 2014
Human Development Report
can be found
online at http://hdr.undp.org, including
complete editions or summaries of the
Report in more than 20 languages, a
collection of papers commissioned for
the 2014 Report, interactive maps and
databases of national human development
indicators, full explanations of the sources
and methodologies employed in the Report’s
human development indices, country
profiles and other background materials
as well as previous global, regional and
national Human Development Reports.
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Human Development Report 2014
Sustaining Human Progress:
Reducing Vulnerabilities and Building Resilience
Empowered lives.
Resilient nations.
Published for the
United Nations
Development
Programme
(UNDP)
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Human Development Reports 1990–2014
1990
1991
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1993
1994
1995
1996
1997
1998
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2000
2001
2002
2003
2004
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2007/2008
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2014
Concept and Measurement of Human Development
Financing Human Development
Global Dimensions of Human Development
People’s Participation
New Dimensions of Human Security
Gender and Human Development
Economic Growth and Human Development
Human Development to Eradicate Poverty
Consumption for Human Development
Globalization with a Human Face
Human Rights and Human Development
Making New Technologies Work for Human Development
Deepening Democracy in a Fragmented World
Millennium Development Goals: A Compact among Nations to End Human Poverty
Cultural Liberty in Today’s Diverse World
International Cooperation at a Crossroads: Aid, Trade and Security in an Unequal World
Beyond Scarcity: Power, Poverty and the Global Water Crisis
Fighting Climate Change: Human Solidarity in a Divided World
Overcoming Barriers: Human Mobility and Development
The Real Wealth of Nations: Pathways to Human Development
Sustainability and Equity: A Better Future for All
The Rise of the South: Human Progress in a Diverse World
Sustaining Human Progress: Reducing Vulnerability and Building Resilience
Regional Human Development Reports:
Over the past two decades, regionally focused HDRs have also been
produced in all major areas of the developing world, with support from UNDP’s regional bureaus. With provoc-
ative analyses and clear policy recommendations, regional HDRs have examined such critical issues as political
empowerment in the Arab states, food security in Africa, climate change in Asia, treatment of ethnic minorities
in Central Europe and challenges of inequality and citizens’ security in Latin America and the Caribbean.
National Human Development Reports:
Since the release of the first national HDR in 1992, national HDRs
have been produced in 140 countries by local editorial teams with UNDP support. These reports—some 700 to
date—bring a human development perspective to national policy concerns through local consultations and re-
search. National HDRs have covered many key development issues, from climate change to youth employment
to inequalities driven by gender or ethnicity.
Copyright © 2014
by the United N
atio
ns Development Programme
1 UN Plaza, New York, NY 10017, USA
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted, in any form or by any
means, electronic, mechanical, photocopying, recording or otherwise, without prior permission.
ISBN 978-92-1-126368-8
eISBN 978-92-1-056659-9
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Printed in the United States by PBM Graphics, an RR Donnelley Company, on Forest Stewardship Council certified and elemental
chlorine-free papers. Printed using vegetable-based inks.
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Information design and data visualisation: Accurat s.r.l., Milan, Italy
For a list of any errors or omissions found subsequent to printing, please visit our website at http://hdr.undp.org
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Human Development Report 2014 Team
Director and lead author
Khalid Malik
Deputy director
Eva Jespersen
Research and statistics
Maurice Kugler (Head of Research), Milorad Kovacevic (Chief Statistician), Subhra Bhattacharjee, Astra Bonini, Cecilia
Calderon, Alan Fuchs, Amie Gaye, Sasa Lucic, Arthur Minsat, Shivani Nayyar, Pedro Martins, Tanni Mukhopadhyay and
José Pineda
Communications and publishing
William Orme (Chief of Communications), Botagoz Abreyeva, Eleonore Fournier-Tombs, Anna Ortubia, Admir Jahic, Brigitte
Stark-Merklein, Samantha Wauchope and Grace Sales
National Human Development Reports
Jon Hall (Head of Team), Christina Hackmann and Mary Ann Mwangi
Operations and administration
Sarantuya Mend (Operations Manager), Mamaye Gebretsadik and Fe Juarez-Shanahan
| iii
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Foreword
The 2014 Human Development Report—
Sustaining Progress: Reducing Vulnerabilities
and Building Resilience—looks
at two concepts
which are both interconnected and immensely
important to securing human development
progress.
Since the United Nations Development
Programme’s (UNDP) first global
Human
Development Report (HDR)
in 1990, most
countries have registered significant human
development. This year’s Report shows that
overall global trends are positive and that pro-
gress is continuing. Yet, lives are being lost, and
livelihoods and development undermined, by
natural or human-induced disasters and crises.
However, these setbacks are not inevitable.
While every society is vulnerable to risk, some
suffer far less harm and recover more quickly
than others when adversity strikes. This Report
asks why that is and, for the first time in a glob-
al
HDR,
considers vulnerability and resilience
through a human development lens.
Much of the existing research on vulner-
ability has considered people’s exposure to
particular risks and is often sector-specific.
This Report takes a different and more holis-
tic approach. It considers the factors which
contribute to risks to human development
and then discusses the ways in which resilience
to a broad group of evolving risks could be
strengthened.
This approach is particularly important in
our interconnected world. While globalization
has brought benefits to many, it has also given
rise to new concerns, manifest at times as local
reactions to the spillover effects of events far
away. Preparing citizens for a less vulnerable
future means strengthening the intrinsic re-
silience of communities and countries. This
Report lays the groundwork for doing that.
In line with the human development par-
adigm, this Report takes a people-centred
approach. It pays particular attention to dispar-
ities between and within countries. It identifies
the ‘structurally vulnerable’ groups of people
who are more vulnerable than others by virtue
of their history or of their unequal treatment
by the rest of society. These vulnerabilities have
iv | HUMAN DEVELOPMENT REPORT
2014
often evolved and persisted over long periods
of time and may be associated with gender,
ethnicity, indigeneity or geographic location—
to name just a few factors. Many of the most
vulnerable people and groups face numerous
and overlapping constraints on their ability to
cope with setbacks. For example, those who are
poor and also from a minority group, or are fe-
male and have disabilities, face multiple barriers
which can negatively reinforce each other.
The Report considers the way in which
vulnerabilities change during our lives—by
taking a ‘life cycle approach’. Unlike more static
models, this analysis suggests that children,
adolescents and the elderly each face different
sets of risks which require targeted responses.
Some periods of life are identified as particular-
ly important: for example, the first 1,000 days
of a child’s life or the transition from school
to work or from work to retirement. Setbacks
at these points can be particularly difficult to
overcome and may have prolonged impacts.
Based on analysis of the available evidence,
this Report makes a number of important
recommendations for achieving a world which
addresses vulnerabilities and builds resilience
to future shocks. It calls for universal access to
basic social services, especially health and ed-
ucation; stronger social protection, including
unemployment insurance and pensions; and a
commitment to full employment, recognizing
that the value of employment extends far be-
yond the income it generates. It examines the
importance of responsive and fair institutions
and increased social cohesion for building
community-level resilience and for reducing
the potential for conflict to break out.
The Report recognizes that no matter how
effective policies are in reducing inherent vul-
nerabilities, crises will continue to occur with
potentially destructive consequences. Building
capacities for disaster preparedness and re-
covery, which enable communities to better
weather—and recover from—shocks, is vital.
At the global level, recognizing that risks which
are transborder in nature require collective ac-
tion, the Report calls for global commitments
and better international governance.
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These recommendations are both important
and timely. As UN Member States prepare to
conclude negotiations on the post-2015 devel-
opment agenda and launch a set of sustainable
development goals, the evidence collected and
analysed in this Report, and the human devel-
opment perspective on which it is based, are
particularly valuable. Eradicating poverty, for
example, will be a central objective of the new
agenda. But, as this Report argues, if people
remain at risk of slipping back into poverty
because of structural factors and persistent
vulnerabilities, development progress will re-
main precarious. The eradication of poverty is
not just about ‘getting to zero’—it is also about
staying there.
Achieving UNDP’s vision to help countries
achieve the simultaneous eradication of pover-
ty and significant reduction of inequalities and
exclusion and to promote human and sustaina-
ble development, requires a deep appreciation
of the concepts of vulnerability and resilience.
Unless and until vulnerabilities are addressed
effectively, and all people enjoy the opportu-
nity to share in human development progress,
development advances will be neither equitable
nor sustainable.
This Report aims to help decisionmakers and
other development actors lock in development
gains through policies which reduce vulnerabil-
ity and build resilience. I recommend it to all
who wish to see sustained development pro-
gress, especially for the most vulnerable people
in our world.
Helen Clark
Administrator
United Nations Development Programme
Foreword | v
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Acknowledgements
The 2014
Human Development Report
is the
product of a collective effort by the United
Nations Development Programme (UNDP)
Human Development Report Office (HDRO)
and many valued external advisors and contrib-
utors. However, the findings, analysis and pol-
icy recommendations of this Report, as with
previous Reports, are those of the authors alone
and do not represent the official viewpoint of
UNDP, nor that of its Executive Board. The
UN General Assembly has officially recognized
the
Human Development Report
as “an inde-
pendent intellectual exercise” that has become
“an important tool for raising awareness about
human development around the world.”
1
We are pleased that H.E. Ms. Ellen Johnson
Sirleaf, President of Liberia, Bill Gates, Stephen
Hawking, James Heckman, Rajendra Pachauri,
Juan Somavia, Joseph Stiglitz and M.S.
Swaminathan have made special contributions
to the Report. We are also most grateful to
the authors of papers commissioned for this
2014 Report: Connie Bayudan; Des Gasper
and Oscar Gomez; Andrew Fischer; Thomas
Hale; Khalil Hamdani; Abby Hardgrove,
Kirrilly Pells, Jo Boyden and Paul Dornan;
Naila Kabeer; Inge Kaul; William Kinsey;
Samir KC, Wolfgang Lutz, Elke Loichinger,
Raya Muttarak and Erich Striessnig; Rehman
Sobhan; Adam Rose; Till von Wachter; Mary
E. Young; and Ashgar Zaidi.
During the preparation of the Report,
HDRO received invaluable insights and guid-
ance from our distinguished Advisory Panel,
including Hanan Ashrawi, Edward Ayensu,
Cristovam Ricardo Cavalcanti Buarque,
Michael Elliott, Patrick Guillaumont, Ricardo
Hausmann, Nanna Hvidt, Rima Khalaf, Nora
Lustig, Sir James Alexander Mirrlees, Thandika
Mkandawire, José Antonio Ocampo, Rajendra
Pachauri, Samir Radwan, Rizal Ramli, Gustav
Ranis, Frances Stewart, Akihiko Tanaka and
Ruan Zongze.
We would also like to thank HDRO’s sta-
tistical panel, which provided expert advice
on methodologies and data choices related to
the calculation of the Report’s human develop-
ment indices: Jose Ramon Albert, Sir Anthony
vi | HUMAN DEVELOPMENT REPORT
2014
Atkinson, Birol Aydemir, Rachid Benmokhtar
Benabdellah, Wasmalia Bivar, Grant Cameron,
Nailin Feng, Enrico Giovannini, D.C.A.
Gunawardena, Peter Harper, Yemi Kale,
Hendrik van der Pol and Eduardo Sojo
Garza-Aldape.
The Report’s composite indices and other
statistical resources rely on the expertise of the
leading international data providers in their
specialized fields, and we express our gratitude
for their continued collegial collaboration
with HDRO. James Foster, Stephan Klasen
and Conchita D’Ambrosio contributed critical
reviews of the Report’s composite indices. To
ensure accuracy and clarity, the Report’s sta-
tistical analysis have also benefitted from the
external review of statistical findings by Sabina
Alkire, Adriana Conconi, Maria Emma Santos,
Kenneth Harttgen, Hiroaki Matsuura, Claudio
Montenegro, Atika Pasha and Jackie Yiptong.
The consultations held around the world
during preparation of the Report relied on
the generous support of many institutions and
individuals who are too numerous to mention
here. Events were held between April 2012
and February 2014 in Addis Ababa, Almaty,
Brussels, Geneva, Islamabad, Managua, New
York and Tokyo.
2
Support from partnering
institutions, including UNDP country and
regional offices, listed at http://hdr.undp.org/
en/2014-report/consultations, is acknowl-
edged with much gratitude. Equally, the annual
HDRO Conference on Measuring Human
Progress has allowed us to pursue a systematic
dialogue with key partners from government,
academia and civil society on our indices and
their improvements.
Many of our UNDP colleagues around the
world—as members of the HDRO Readers
Group and the Executive Group—provided
invaluable insights into the preparation and
final drafting of the report. We would espe-
cially like to thank Adel Abdellatif, Pedro
Conceição, Samuel Doe, George Ronald
Gray Molina, Heraldo Muñoz, Selim Jehan,
Natalia Linou, Abdoulaye Mar Dieye, Magdy
Martinez-Soliman, Stan Nkwain, Thangaval
Palanivel, Jordan Ryan, Turhan Saleh, Ben
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Slay, Mounir Tabet, Antonio Vigilante and
Mourad Wahba.
Colleagues at Helpage, the United Nations
Children’s Fund and the International Labour
Organization also offered much valued in-
sights and commentary. Laurent Thomas and
Neil Marsland from the Food and Agriculture
Organization of the United Nations also gener-
ously shared their expertise.
Special thanks to the Governments of France
(AFD) and Germany (BMZ) for their finan-
cial contributions to the Report, and to the
Government of Japan ( JICA) for their support
to the East Asia Regional Consultation.
We are much indebted to our team of
fact-checkers and consultants, which included
Akmal Abdurazakov, Melissa Mahoney, Agnes
Zabsonre and Simona Zampino.
Our interns Caterina Alacevich, Ruijie
Cheng, Bouba Housseini, Yoo Rim Lee, Élisée
Miningou, Ji Yun Sul, Petros Tesfazion and Lin
Yang also deserve recognition for their dedi-
cation and contribution. The Report has been
blessed with many ‘friends of HDRO’ who
have gone out of their way to help strengthen it.
We benefited much from the critical readings
of the draft report and related textual contri-
butions by James Heintz, Shiva Kumar, Peter
Stalker and Frances Stewart. We are very grate-
ful to Amartya Sen and Joseph Stiglitz for their
review and feedback on the report.
In particular we would like to acknowledge
the highly professional work of our editors at
Communications Development Incorporated,
led by Bruce Ross-Larson, with Joe Caponio,
Christopher Trott and Elaine Wilson, and of
designers Federica Fragapane, Michele Graffieti
and Gabriele Rossi of Accurat Design.
Most of all, I am as always profoundly grate-
ful to Helen Clark, UNDP’s Administrator,
for her leadership and vision, and to the entire
HDRO team for their dedication and commit-
ment in producing a report that strives to fur-
ther the advancement of human development.
Khalid Malik
Director
Human Development Report Office
Notes
1
2
UN Resolution 57/264, 30 January 2003.
Participants are listed and acknowledged at http://hdr.undp.org/en/2014-report/consultations.
Acknowledgments | vii
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Contents
Foreword
Acknowledgements
Overview
iv
vi
1
STATISTICAL ANNEX
Readers guide
Key to HDI countries and ranks, 2013
Statistical tables
1.
2.
Human Development Index and its components
Human Development Index trends, 1980–2013
Inequality-adjusted Human Development Index
Gender Inequality Index
Gender Development Index
Multidimensional Poverty Index
Health: children and youth
Adult health and health expenditures
Education
Command over and allocation of resources
Social competencies
Personal insecurity
International integration
Environment
Population trends
Supplementary indicators: perceptions of well-being
160
164
168
172
176
180
182
184
188
192
196
200
204
208
212
216
220
155
159
CHAPTER 1
Vulnerability and human development
A human development perspective
Vulnerable people, vulnerable world
Choices and capabilities
Policies and collective action
15
16
18
23
24
3.
4.
5.
6.
7.
8.
9.
6A. Multidimensional Poverty Index: Changes over time (select countries)
CHAPTER 2
State of human development
Progress of people
Global threats to human development
33
33
45
10.
11.
12.
13.
14.
CHAPTER 3
Vulnerable people, vulnerable world
Life capabilities and life cycle vulnerabilities—interdependent
and cumulative
Structural vulnerabilities
Group violence and insecure lives
55
56
70
77
15.
16.
Regions
Statistical references
224
225
SPECIAL CONTRIBUTIONS
Measuring human progress— Bill Gates
47
49
52
58
67
77
84
Meeting the Zero Hunger Challenge— Professor M.S. Swaminathan
Dealing with climate change— Rajendra Pachauri
Human development and early childhood development— James Heckman
Valuing the dignity of work— Dr. Juan Somavia
Disability and vulnerability— Stephen Hawking
Broadening our thinking on vulnerability— Joseph Stiglitz
CHAPTER 4
Building resilience: expanded freedoms, protected choices
Universal provision of basic social services
Addressing life cycle vulnerabilities—timing matters
Promoting full employment
Strengthening social protection
Addressing societal inclusion
Upgrading capacities to prepare for and recover from crises
83
85
90
92
97
101
107
BOXES
1.1
1.2
1.3
2.1
2.2
3.1
3.2
3.3
3.4
4.1
4.2
Towards human resilience: concepts and definitions
Shocks and threats to human development
Measuring vulnerability
Looking at disposable income
Macroeconomics and austerity
Meaningful differences: 30 million more words
Somalia: conflict and youth exclusion
Violence against women
Disaster resilience—Japan’s experience
Macroeconomic policies for full employment
Policy successes in East Asia
16
21
28
42
44
61
65
75
78
95
96
CHAPTER 5
Deepening progress: global goods and collective action
Transnational vulnerabilities and common threads
Putting people first in a globalized world
Collective action for a more secure world
111
111
117
128
Notes
References
133
139
viii | HUMAN DEVELOPMENT REPORT
2014
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4.3
5.1
5.2
5.3
5.4
5.5
5.6
5.7
Reducing vulnerability through responsive institutions
Global value chains—pros and cons
International migration
Systemic barriers to collective action
Gridlock in the global governance of security
Can the Responsibility to Protect doctrine be broadened?
Who is vulnerable to climate change?
Four essential global agendas
102
113
114
116
117
120
127
128
3.6
In Latin America and the Caribbean homicide rates for men, highest for men
ages 15–29, tend to decline with age, whereas the much lower rates for
woman remain largely unchanged
For most countries with data nonstandard employment increased between
2007 and 2010, while overall employment fell
By 2050 the share of people ages 60 and older in the world’s population is
expected to double to 15.5 percent, with the largest increase in East Asia
and the Pacific
In Organisation for Economic Co-operation and Development countries the
poverty rate tends to be higher for older people than for the population
as a whole and higher for older women than for older men
66
68
3.7
3.8
69
3.9
FIGURES
1.1
1.2
2.1
2.2
2.3
2.4
2.5
2.6
Who is vulnerable to what and why?
Policies for reducing vulnerability and building resilience
While all regions are registering improvement on the Human Development
Index, signs of a slowdown are emerging
All four human development groups have experienced a slowdown in growth
on the Human Development Index
Progress to higher human development groups since 1990
The average loss in the Human Development Index due to inequality has
declined in most regions
A country’s economic status and performance can look much less impressive
when adjusted for income distribution
In countries where inequality has been high or rising, growth in consumption
for the poorest 40 percent of the population has been slower than for the
population as a whole
While in many countries both multidimensional and income poverty
decreased over 2005–2012, the rate of progress varies widely
The world’s ecological footprint of consumption is currently larger than its
total biocapacity
Since the liberalization of capital flows and greater financial integration in
the 1980s, the incidence of banking crises has soared
19
26
34
35
36
38
40
71
72
74
3.10 Some 1.2 billion people live on less than $1.25 a day, and 1.5 billion people
live in multidimensional poverty
3.11 Several countries have laws that discriminate against women in family,
economic activities, violence and other matters
3.12 In 2011 poverty rates among Roma households were much higher than among
non-Roma households
76
4.1
4.2
4.3
4.4
Several countries started putting in place measures of social insurance when
their GDP per capita was lower than that of most countries in South Asia today 88
Evolution of health protection coverage as a percentage of total population
in selected countries
89
Spending on health, education and welfare that increases over the life cycle does
not nurture and support capability development during the crucial early years
91
Early childhood investment: the Swedish example
The degree and quality of interactions with parents and caregivers correlate
with a child’s later behaviour, cognitive abilities and emotional development
Following the 2008 global economic crisis unemployment rates were lower in
Nordic countries than elsewhere in Europe
Cohesive societies tend do better than less cohesive societies
There is a mismatch between global challenges and global governance
mechanisms
Increases in net private capital flows into developing countries over
1980–2012 have left many economies and people vulnerable
In recent years countries in all regions have become more reliant on imports
and exports
92
93
98
103
121
122
124
41
43
46
47
48
50
51
4.5
4.6
4.7
5.1
5.2
5.3
2.7
2.8
2.9
2.10 Food prices have fluctuated considerably and unexpectedly since 2007
2.11 Between 1901 and 1910 there were 82 recorded natural disasters, but
between 2003 and 2012 there were more than 4,000
2.12 Internal and nonstate armed conflicts account for the vast majority of
conflicts worldwide
3.1
3.2
3.3
The regions with the highest shares of children under age 5 in the total
population are Sub-Saharan Africa, the Arab States and South Asia
Cognitive, social, emotional and language competences are interdependent,
since all are shaped by early experiences and all contribute to the formation
of lifelong capabilities
Poor children are already at a vocabulary disadvantage by age 6, as shown
in the case of Ecuador
Fast track education policies and accelerated economic growth would
eliminate the gap in supply and demand for young workers in South Asia and
narrow it in Sub-Saharan Africa between 2010 and 2050
When investments in life capabilities occur earlier, future prospects are better 57
58
MAP
3.1
The share of young people in the total population is expected to fall in most
regions between 2010 and 2050
62
59
60
TABLES
2.1
2.2
2.3
Human Development Index and components, 2010 and 2013
Highest positive differences between gross national income per capita rank
and Human Development Index rank, by human development group, 2013
Countries with rising or falling income inequality by region, 1990–2012
Vulnerable employment and working poverty, 2010 and 2012
Income and multidimensional poverty, by region
34
37
38
43
73
3.4
3.5
64
2.4
3.1
Contents | ix
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“Human progress is neither
automatic nor inevitable . . .”
Martin Luther King, Jr.
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Overview
Charles Dickens’s classic
Tale of Two Cities
explored the many contrasting realities—“the best of times, the worst of
times”—of 18th century Paris and London. While the contemporary world is a very different place, it displays similar
contrasts—some acute and some arguably more complex.
As successive
Human Development Reports
have
shown, most people in most countries have
been doing steadily better in human develop-
ment. Advances in technology, education and
incomes hold ever-greater promise for longer,
healthier, more secure lives.
1
Globalization
has on balance produced major human devel-
opment gains, especially in many countries of
the South. But there is also a widespread sense
of precariousness in the world today—in liveli-
hoods, in personal security, in the environment
and in global politics.
2
High achievements on
critical aspects of human development, such
as health and nutrition, can quickly be under-
mined by a natural disaster or economic slump.
Theft and assault can leave people physically
and psychologically impoverished. Corruption
and unresponsive state institutions can leave
those in need of assistance without recourse.
Political threats, community tensions, violent
conflict, neglect of public health, environmen-
tal damages, crime and discrimination all add
to individual and community vulnerability.
Real progress on human development, then,
is not only a matter of enlarging people’s criti-
cal choices and their ability to be educated, be
healthy, have a reasonable standard of living and
feel safe. It is also a matter of how secure these
achievements are and whether conditions are
sufficient for sustained human development.
An account of progress in human development
is incomplete without exploring and assessing
vulnerability.
Traditionally, the concept of vulnerability is
used to describe exposure to risk and risk man-
agement, including insuring against shocks and
diversifying assets and income.
3
This Report
takes a broader approach, emphasizing the
close links between reducing vulnerability and
advancing human development. We introduce
the concept of
human vulnerability
to describe
the prospects of eroding people’s capabilities
and choices. Looking at vulnerability through
a human development lens, we draw attention
to the risk of future deterioration in individual,
community and national circumstances and
achievements, and we put forward policies
and other measures to prepare against threats
and make human development progress more
robust going forward.
We particularly emphasize systemic and
perennial sources of vulnerability. We ask why
some people do better than others in overcom-
ing adversity. For example, almost everywhere,
women are more vulnerable to personal insecu-
rity than men are. We also ask what structural
causes leave some people more vulnerable than
others. People experience varying degrees of in-
security and different types of vulnerability at
different points along the life cycle. Children,
adolescents and older people are inherently
vulnerable, so we ask what types of investments
and interventions can reduce vulnerability
during sensitive transitional periods of the life
cycle.
This Report makes the case that the sustained
enhancement of individuals’ and societies’ ca-
pabilities is necessary to reduce these persistent
vulnerabilities—many of them structural and
many of them tied to the life cycle. Progress has
to be about fostering resilient human develop-
ment. There is much debate about the meaning
of resilience, but our emphasis is on
human
resilience—ensuring
that people’s choices are
robust, now and in the future, and enabling
people to cope and adjust to adverse events
(chapter 1).
Institutions, structures and norms can either
enhance or diminish human resilience. State
policies and community support networks can
empower people to overcome threats when
and where they may arise, whereas horizontal
inequality may diminish the coping capabilities
of particular groups.
This Report explores the types of policies and
institutional reforms that can build resilience
Overview | 1
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into the fabrics of societies, particularly for
excluded groups and at sensitive times during
the life cycle. It examines universal measures
that can redress discrimination and focuses on
the need for collective action to resolve vulner-
ability that stems from unresponsive national
institutions and the shortcomings of global
governance.
Why discuss vulnerability now?
Human vulnerability is not new, but it is
increasing due to financial instability and
mounting environmental pressures such as
climate change, which have a growing potential
to undermine progress in human development.
Indeed, since 2008 there has been a decelera-
tion in the growth of all three components
of the Human Development Index in most
regions of the world (chapter 2). It is critical to
deal with vulnerability now to secure gains and
prevent disruptions to continuing progress.
The world is changing rapidly. The scope and
scale of connectivity and related insecurities
are accelerating, as are the threats of contagion
and exposure to natural disasters and violent
conflict. National policy space to enhance
coping capabilities is becoming more and more
constrained as globalization deepens. In an in-
creasingly interconnected world what was once
local is often now global as well, due to inter-
national trade, travel and telecommunications.
Globally integrated supply chains, for instance,
have brought efficiency gains. But disruptions
at one point of the chain can trigger serious
local problems elsewhere. The types of public
goods, both national and global, that are need-
ed to build long-term coping capabilities and
resilient societies are underprovided. Across
the world people feel insecure.
With the lead-up to the post-2015 agenda
and the development of a set of sustainable de-
velopment goals, this is also a time of reflection
for the international community and an op-
portunity for change and new forms of global
cooperation. As UN Secretary-General Ban
Ki-moon underlined in his July 2013 address
to the United Nations General Assembly, the
world has “to pay particular attention to the
needs and rights of the most vulnerable and
excluded.”
4
He called for a new vision that can
National policy space
to enhance coping
capabilities is increasingly
constrained as
globalization deepens
bring together the full range of human aspira-
tions and ensure “a life of dignity for all”. This
Report about vulnerability informs the global
debate and offers recommendations for how
to achieve new goals and build more-resilient
societies.
Reducing both poverty and people’s vulner-
ability to falling into poverty must be a central
objective of the post-2015 agenda. Eliminating
extreme poverty is not just about ‘getting to
zero’; it is also about staying there. This can be
achieved only with a renewed focus on vulner-
ability and human development. It requires
ensuring that those lifted from extreme depri-
vation benefit from sustained public support
that strengthens their social and economic
resilience and greatly reduces the systemic
sources of their vulnerability.
There is positive news as well. As the Report
acknowledges (in chapter 2), average loss
of human development due to inequality
has declined in most regions in recent years,
driven mainly by widespread gains in health.
But disparities in income have risen in sev-
eral regions, and inequality in education has
remained broadly constant. Declines in ine-
quality should be celebrated, but offsetting
growing income disparities with progress in
health is not enough. To tackle vulnerability,
particularly among marginalized groups, and
sustain recent achievements, reducing ine-
quality in all dimensions of human develop-
ment is crucial.
Unless more-vulnerable groups and individ-
uals receive specific policy attention and dedi-
cated resources across all dimensions of human
development, they are in danger of being left
behind, despite continuing human progress
in most countries and communities. Without
national and global policies and institutions to
reduce persistent and systemic vulnerability,
the post-2015 development agenda will remain
inadequate in addressing the complexity and
scale of future challenges.
Who is vulnerable—and why?
Most people everywhere are vulnerable to
shocks to some degree—natural disasters,
financial crises, armed conflicts—as well as to
long-term social, economic and environmental
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changes. Economic weaknesses are undermin-
ing the social contract even in advanced indus-
trialized societies, and no country anywhere
will be immune to the long-term effects of
climate change.
Yet some people are much more vulnerable
than others. And in many cases discriminatory
social norms and institutional shortcomings
exacerbate this vulnerability, leaving certain
groups without the household, community
and state support needed to boost their coping
capacities. These groups and the institutions
and norms that weaken their capabilities and
restrict their choices are the main focus of this
Report.
Those living in extreme poverty and depri-
vation are among the most vulnerable. Despite
recent progress in poverty reduction, more
than 2.2 billion people are either near or living
in multidimensional poverty. That means more
than 15 percent of the world’s people remain
vulnerable to multidimensional poverty. At
the same time, nearly 80 percent of the global
population lack comprehensive social protec-
tion.
5
About 12  percent (842  million) suffer
from chronic hunger,
6
and nearly half of all
workers—more than 1.5 billion—are in infor-
mal or precarious employment.
7
In many cases the poor—along with, for ex-
ample, women, immigrants, indigenous groups
and older people—are structurally vulnerable.
Their insecurity has evolved and persisted over
long periods to create divisions—in gender,
ethnicity, race, job type and social status—
that are not easily overcome. People who are
structurally vulnerable may be as capable as
others but may still face additional barriers to
overcoming adverse conditions. For example,
people with disabilities often lack easy access
to public transportation, government offices
and other public spaces such as hospitals,
which makes it more difficult to participate
in economic, social and political life—or to
seek assistance when faced with threats to their
physical well-being.
Many face overlapping structural constraints
on their ability to cope—for example, people
who are poor and from a minority group, or
women with disabilities. Three-quarters of the
world’s poor live in rural areas, where agricul-
tural workers suffer the highest prevalence of
poverty. They are caught in intractable cycles
of low productivity, seasonal unemployment
and low wages and are particularly vulnerable
to changing weather patterns. Disenfranchised
ethnic and religious minorities are vulnerable
to discriminatory practices, have limited access
to formal justice systems and suffer from the
legacy of past repression and prejudice. And
while indigenous peoples make up about 5 per-
cent of the world’s population, they account
for some 15 percent of the world’s poor, with
as many as a third of them in extreme rural
poverty.
8
Worldwide, more than 46 percent of
people ages 60 and older live with a disability,
facing severe challenges to full participation in
society, further heightened by discriminatory
social attitudes.
9
Climate change poses grave risks to all
people and all countries, but again, some are
subject to more-grievous losses than others are.
Between 2000 and 2012 more than 200 mil-
lion people, most of them in developing coun-
tries, were hit by natural disasters every year,
especially by floods and droughts.
10
The 2011
Human Development Report
showed how
continuing failure to slow the pace of global
warming could jeopardize poverty eradication,
because the world’s poorest communities are
the most vulnerable to rising temperatures
and seas and to other consequences of climate
change.
11
Life cycle vulnerability receives particular
attention in this Report. Capabilities accu-
mulate over an individual’s lifetime and have
to be nurtured and maintained; otherwise
they can stagnate and even decline. Life ca-
pabilities are affected by investments made
in preceding stages of life, and there can be
long-term consequences of exposure to short-
term shocks. A setback in early childhood,
for instance, can have serious ramifications
throughout the rest of a person’s life, includ-
ing the chances of holding onto a job, the
uncertainties associated with growing older
and the transmission of vulnerability to the
next generation. This Report notes the cumu-
lative nature of vulnerability and the need for
timely and continuous policy interventions.
Particular attention is needed at sensitive
periods—investments in early childhood
education, a focus on employment opportu-
nities for youth and support for older people
enhance life capabilities.
Despite recent progress
in poverty reduction, more
than 2.2 billion people are
either near or living in
multidimensional poverty
Overview | 3
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The challenge is not
just to keep vulnerable
populations from falling
back into extreme
difficulty and deprivation.
It is to create an
enabling environment
for their continuing
human development
advancement in the
decades to come
The challenge is not just to keep vulnerable
populations from falling back into extreme
difficulty and deprivation. It is to create an ena-
bling environment for their continuing human
development advancement in the decades to
come. This calls for understanding poverty and
deprivation as multidimensional phenomena
requiring universal policies for extending rights
and services to all, with special attention to
equal opportunities, life cycle capabilities and
access for those who are excluded. Such mutu-
ally reinforcing interventions can build societal
resilience and strengthen human agency. The
most successful antipoverty and human devel-
opment initiatives to date have taken a multi-
dimensional approach, combining income
support and job creation with expanded health
care and education opportunities and other
interventions for community development.
There are policy steps to close the gaps
between people and among countries and to
build greater resilience and capabilities for
those who would otherwise remain persistently
vulnerable. Policies that prevent devastation
caused by hazards, promote the extension
of the benefits of prosperity to all and build
broader societal resilience can collectively
protect and sustain human progress. Yet none
of them falls automatically into place. They
are the outcomes of vigorous collective action,
equitable and effective institutional responses,
and far-sighted leadership—local, national
and global. All society ultimately benefits from
greater equality of opportunity. And unless
these multidimensional and intersecting vul-
nerabilities are recognized and systematically
reduced, continuing progress in human devel-
opment could be interrupted or even reversed.
Human security and
human development
Twenty years ago the
Human Development
Report
introduced the notion of human securi-
ty as an integral aspect of human development.
This Report is closely aligned with the human
security approach, but with a focus on vul-
nerability and how it threatens to undermine
achievements in human development. In this
context, there is an emphasis on the imper-
atives for reducing disparities and building
4 | HUMAN DEVELOPMENT REPORT
2014
social cohesion, particularly through actions
that address social violence and discrimination.
Conflict and a sense of personal insecurity
have pervasive adverse impacts on human de-
velopment and leave billions of people living in
precarious conditions. Many countries in the
bottom tier of the Human Development Index
are emerging from long periods of conflict
or still confront armed violence. More than
1.5 billion people live in countries affected by
conflict—about a fifth of the world’s popula-
tion.
12
And recent political instability has had
an enormous human cost: About 45  million
people were forcibly displaced due to conflict
or persecution by the end of 2012—the highest
in 18 years—more than 15  million of them
refugees.
13
In some areas of West and Central
Africa lawlessness and armed conflict continue
to threaten human development advances, with
long-term repercussions for national progress.
And in a number of countries in Latin America
and the Caribbean, despite high human devel-
opment achievements, many people feel threat-
ened by rising rates of homicide and other
violent crimes.
Women everywhere experience vulnerability
in personal insecurity. Violence violates their
rights, and feelings of personal insecurity re-
strict their agency in both public and private
life. Expanding freedoms and human secu-
rity, then, is also about supporting measures
that bring about changes in institutions and
norms that reduce interpersonal violence and
discrimination. Improvements in personal
security can have a profound impact on actual
and perceived vulnerability of individuals and
communities and on their sense of security,
empowerment and agency.
Higher incomes alone are not enough to
reduce vulnerability to conflict and personal
insecurity. Persistent vulnerability, which gen-
erally can be allayed only over longer periods,
requires multiple policy interventions and
norm shifts that build tolerance and deepen
social cohesion.
Building resilience
People’s well-being is influenced greatly by
the larger freedoms within which they live
and by their ability to respond to and recover
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from adverse events—natural or human-made.
Resilience underpins any approach to securing
and sustaining human development. At its core,
resilience is about ensuring that state, commu-
nity and global institutions work to empower
and protect people. Human development in-
volves removing the barriers that hold people
back in their freedom to act. It is about ena-
bling the disadvantaged and excluded to realize
their rights, to express their concerns openly, to
be heard and to become active agents in shap-
ing their destiny. It is about having the freedom
to live a life that one values and to manage one’s
affairs adequately. This Report highlights some
of the key policies, principles and measures that
are needed to build resilience—to reinforce
choices, expand human agency and promote
social competences. It also indicates that
achieving and sustaining human development
progress can depend on the effectiveness of
preparedness and response when shocks occur.
Committing to universalism
A common commitment—national and
global—towards universal provision of social
services, strengthening social protection and
assuring full employment would constitute a
profound societal and political decision that
would lay the foundation for building long-
term resilience, for countries and for their citi-
zens as individuals. Such a commitment would
boost the ability of individuals, societies and
countries to resist and recover from setbacks,
while recognizing that some are more exposed
to risks and threats than others and need addi-
tional support.
Universal provision of social services.
Universal
access to basic social services—education,
health care, water supply and sanitation, and
public safety—enhances resilience. It is not
only desirable—it is also possible at early stages
of development. And recent experience—for
example, in China, Rwanda and Viet Nam—
shows that it can be achieved fairly fast (in less
than a decade).
Universal provision of basic social services
can raise social competences and reduce struc-
tural vulnerability. It can be a powerful force
for equalizing opportunities and outcomes.
For instance, universal high-quality public
education can mitigate the gaps in education
of children from rich and poor households.
Intergenerational transmission of capabilities
such as education within families can perpetu-
ate the benefits in the long run. Universal pol-
icies also promote social solidarity by avoiding
the disadvantages of targeting—social stigma
for recipients and segmentation in the quality
of services, as well as failure to reach many of
the vulnerable.
14
One commonly held misconception is that
only wealthy countries can afford social protec-
tion or universal basic services. As this Report
documents, the evidence is to the contrary.
Except for societies undergoing violent strife and
turmoil, most societies can—and many have—
put in place basic services and social protection.
And they have found that an initial investment,
of just a small percentage of GDP, brings bene-
fits that far outweigh the initial outlay.
Take South Africa’s Child Support Grant,
which cost 0.7 percent of GDP in 2008–2009
and reduced the child poverty rate from 43 per-
cent to 34  percent. Or Brazil’s Bolsa Família
programme, which cost 0.3 percent of GDP in
2008–2009 and accounted for 20–25 percent
of the reduction in inequality.
15
Countries en-
joying rapid economic progress, such as those in
East Asia, have benefited from greater coverage
and better health, education and employment
investments. And they did so even with limited
revenues and resources at their disposal.
The case for universal provision of basic
social services rests first and foremost on the
premise that all humans should be empowered
to live lives they value and that access to certain
basic elements of a dignified life ought to be
delinked from people’s ability to pay. While
ways of delivering such services may vary with
circumstances and country context, common
to all successful experiences is a single idea: The
state has the primary responsibility to extend
social services to the entire population, in a
basic social contract between citizens and state.
Strengthening social protection.
Social pro-
tection, including unemployment insurance,
pension programmes and labour market regu-
lations, can offer coverage against risk and ad-
versity throughout people’s lives and especially
during sensitive phases. By providing an addi-
tional and predictable layer of support, social
Resilience underpins
any approach to
securing and sustaining
human development.
At its core, resilience
is about ensuring that
state, community and
global institutions
work to empower
and protect people
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For developing countries
faced with the challenges
of underemployment,
active labour market
policies are not enough,
considering that
most jobs are in the
informal economy
protection programmes help households avoid
selling off assets, taking children out of school
or postponing necessary medical care, all detri-
mental to their long term well-being. Further,
the distribution networks and mechanisms for
administering social protection programmes
can also be used to provide short-term emer-
gency responses and assistance during crises
such as natural disasters and droughts.
Many social protections have positive spinoff
effects. Unemployment insurance improves
the working of labour markets by allowing the
unemployed to choose jobs that better match
their skills and experience rather than forcing
them to simply take the first job that comes
along. Income support to households has been
shown to encourage labour market participa-
tion by providing resources to enable people
to search for better opportunities, including
allowing members of the household to migrate
to find jobs. Some contend such support may
reduce the incentive to get back to work.
Much depends on the design of the policy.
Nevertheless, there is considerable evidence
that labour market regulations have a net bene-
fit and are able to reduce inequality.
Social protection is feasible at early stages
of development and can even bring about
other benefits such as stimulating spending
and reducing poverty. Social protection offsets
output volatility by reducing fluctuations in
disposable income. Strong universal social pro-
tection policies not only improve individual
resilience, they also bolster the resilience of the
economy as a whole.
Assuring full employment.
As this Report shows,
the social value of employment goes far beyond
a salary. Universal access to decent jobs is a key
part of building resilience across a society. Work
is a means of livelihoods, in strengthening hu-
man agency, in providing social connections
and in the larger value for providing security
for families and communities. Unemployment
tends to be associated with an increase in
crime, suicide, violence, drug abuse and other
social problems that can increase personal in-
security. Jobs foster social stability and social
cohesion, and decent jobs strengthen people’s
abilities to manage shocks and uncertainty. Yet
few countries, developed or developing, pursue
full employment as an overarching societal or
economic goal. Expanding jobs should guide
public policy. Labour market policies are need-
ed that help workers regain employment—for
example, through temporary employment
schemes or by acquiring employable skills.
Employment generation programmes can be
fully integrated into broader policy objectives,
such as building infrastructure and connectivi-
ty, using expanded public works programmes,
including providing cash for work for the poor
and unemployed.
For developing countries faced with the
challenges of underemployment, active labour
market policies are not enough, considering
that most jobs are in the informal economy—
more than 40  percent in two-thirds of the
46  emerging and developing countries with
available data.
16
Pursuing full employment and
reducing employment-related vulnerability in
these countries require policies that promote
job-creating growth and that extend a social
protection framework for all in both the for-
mal and informal sectors.
In some ways a structural transformation
of the economy is in order to provide more
jobs—using targeted policies that support the
development of strategic sectors and activities.
This may entail macroeconomic policies that
go beyond an exclusive focus on price stability
and debt management. Global cooperation
can also help ensure that intensifying global
competition does not result in a ‘race to the
bottom’ in terms of labour standards, but rath-
er in an agreement to push for full and decent
employment for all.
Responsive institutions and
cohesive societies
Building human resilience requires responsive
institutions. Adequate policies and resources
are needed for providing adequate jobs, health
care and education opportunities, especially
for the poor and vulnerable. In particular,
states that recognize and take actions to reduce
inequality among groups (so called horizontal
inequality) are better able to uphold the prin-
ciple of universalism, build social cohesion and
prevent and recover from crises.
Persistent vulnerability is rooted in historic
exclusions—women in patriarchal societies,
Black people in South Africa and the United
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States, and Dalits in India encounter discrim-
ination and exclusion due to longstanding
cultural practices and social norms. Responsive
and accountable institutions of governance are
critical to overcoming the sense of injustice,
vulnerability and exclusion that can fuel social
discontent. Civic engagement and collective
mobilization, in turn, are also indispensable for
ensuring that states recognize the interests and
rights of vulnerable people.
States can intervene to reduce horizontal
inequality with a mix of policy interventions.
Direct interventions such as affirmative action
may work to immediately address historic
injustices, but its long-term impact is ambig-
uous. And it cannot always fix the structural
drivers behind persistent inequality. Policies
are needed that respond in the short term
and promote long-term and sustainable ac-
cess to social services, employment and social
protections for vulnerable groups. These may
include formal incentives and sanctions such
as preventative laws. For example, rights-based
laws can lead to considerable improvements
for vulnerable groups, who are empowered
with legal recourse and public scrutiny when
institutions fail them.
Changing norms to build tolerance and
deepen social cohesion is also a necessary and
often overlooked aspect of building resilient
societies. More-cohesive societies are better at
protecting people from adversity and may be
more accepting of policies based on the prin-
ciple of universalism. Lack of social cohesion is
correlated with conflict and violence, especially
in situations of unequal access to resources
or benefits from natural wealth, and with the
inability to deal effectively with rapid social or
economic change or the impact of economic
or climate-related shocks. Indeed, pursuing the
broad goals of equity, inclusion and justice re-
inforces social institutions and in turn deepens
social cohesion.
Campaigns and messages that seek to alter
people’s perceptions are indispensable in ensur-
ing social change. Laws, policies and education-
al and normative measures are most meaningful
when people are engaged and have mechanisms
to hold institutions accountable. In this sense,
state responsiveness requires openness, trans-
parency and accountability to the poor and
excluded, as well as the promotion of a positive
dynamic between governance institutions and
civic participation.
Crisis prevention and response
Natural and human-made disasters are inevita-
ble, but efforts can be made to mitigate their ef-
fects and to accelerate recovery. Opportunities
can be taken to ‘build back better’. Indeed, the
2004 tsunami led directly to the Indian Ocean
Tsunami Warning System. But for disaster pre-
paredness and response frameworks to enhance
resilience, they need to be designed from a sys-
tems approach that extends beyond immediate
threats and shocks to address underlying causes
and longer term impacts.
In the case of natural disasters, prevention
and response frameworks can include, as laid
out in the Hyogo Framework for Action, im-
proving risk information, strengthening and
establishing early warning systems, integrating
disaster risk reduction into development plan-
ning and policies, and strengthening institu-
tions and mechanisms for response. Planning
for preparedness and recovery can be pursued
at all levels—global, regional, national and
community—and can be enhanced by infor-
mation sharing and solidarity in action. This
is easier when governments and communities
are prepared. When policies are oriented to-
wards emergency response, mitigation can be
overlooked, and shocks can re-emerge with po-
tentially larger impacts and greater subsequent
costs of protection. Emergency response efforts
are important and necessary, but resilience
requires comprehensive efforts to build prepar-
edness and response capacities.
Intrastate conflict as well as internal civil
unrest continues to impose enormous costs
on development in affected countries. A
combination of causes can be identified for
these types of conflict. However, one com-
mon characteristic is that these causes, from
exclusionary policies and elite rent-seeking to
unaddressed social grievances, all contribute
to social discord or, at the very least, imped-
ing the minimum of social harmony and
cohesion that would be conducive to resilient
development outcomes, something discussed
more extensively in chapters 3 and 4. In com-
munities and countries vulnerable to conflict
and violence, programmes that enhance social
Responsive and
accountable institutions
of governance are critical
to overcoming the sense
of injustice, vulnerability
and exclusion that can
fuel social discontent
Overview | 7
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cohesion can underpin prevention and recov-
ery efforts.
Policies and institutions that fight exclusion
and marginalization, create a sense of belong-
ing, promote trust and offer the opportunity of
upward mobility can reduce the potential for
conflict. Increasing public awareness and access
to information can generate public support for
peace and less contentious politics. Involving
credible and objective intermediaries and me-
diators can build trust and confidence among
conflicted and polarized groups and consensus
on issues of national import, ranging from the
conduct of elections to the elements of a new
constitution. Local committees and citizen
groups can build trust at the community level
and lay the foundation for ‘infrastructures for
peace’. Investing in jobs and livelihoods can
help communities and individuals recover from
crises in the short term and increase resilience
to the challenges of future crises.
by fixing shortcomings in global governance
architectures.
Global commitment to universalism
National measures—for the universal provision
of social services, for universal social protection
and for full employment—are more easily en-
acted when global commitments are in place
and global support is available. Such a commit-
ment should be part of the post-2015 agenda.
Including elements of a global social contract
in the agenda could open up policy space at
the national level for states to determine the
approaches for building employment and
providing social services and protections that
work best in their particular contexts, but glob-
al agreements are essential because they can
instigate action and commitment and generate
financial and other support.
Policy norms that depict public provision of
social protections as positive instruments can
enable states to adopt and implement policies
and programmes that protect people inside
their territories. A set of norms that emphasize
universalism could embolden states to make a
commitment to universal protections for la-
bour that reduce the likelihood of exploitative
work conditions while encouraging minimum
social protections for workers as well as for
those who are unable to work.
Today, only 20 percent of people worldwide
have adequate social security coverage, and over
50  percent lack any type of social security.
17
The sustainable development goals present an
opportunity for the international community
and individual states to advance a positive view
of the public domain and push forward the
principle of universalism—in public provision
of social services, including at a minimum uni-
versal access to health care and education, and
for full employment and social protections.
These are all essential elements of more-sustain-
able and -resilient human development.
Global action for the
‘world we want’
Globalization has brought countries together
and provided new opportunities. But it has also
increased the risk that adverse events will be
transmitted more rapidly. Recent events have
exposed huge gaps in how globalization is man-
aged on issues ranging from food security to en-
ergy access, from financial regulation to climate
change. These cross-border challenges are likely
to continue in coming decades, with global
governance architectures short on capacity to
prevent or minimize shocks. Policymakers and
leaders may find themselves unprepared for the
sheer speed and scale of these changes.
New and emerging threats call for national,
global and cross-border responses, resources
and leadership. Collective action is needed that
can prioritize issues, extend cooperation across
silos organized around particular problems,
and bring together states, international organ-
izations, civil society and the private sector in
common support of building more-resilient
global systems. In particular, collective action
is needed, in the form of a global commitment
to universalism, to better facilitate the provi-
sion of global public goods and to reduce the
likelihood and scope of transnational shocks
Collective action is
needed, in the form of
a global commitment to
universalism, to better
facilitate the provision
of global public goods
Better facilitation of the provision
of global public goods
Many global public goods have social value
and can reduce vulnerability but are under-
valued by markets. Their underprovision,
ranging from communicable disease control
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to adequate global market regulation, fosters
shocks that have regional and global reach. As
the world’s interdependence expands and deep-
ens, the manifestation of vulnerability from the
underprovision of global public goods grows.
Multilateral efforts to facilitate cooperation
and provide some of these goods seem weak in
the face of the challenges and vulnerabilities.
And they are weak in the face of the momen-
tum of markets, the pace of commodification
and the power of private interests. International
rules and norms often reflect private interests
rather than providing public goods and prior-
itizing social interests.
18
Global public goods
and universal social goods that would correct
or complement markets for more-inclusive
and -sustainable growth remain, in large part,
underprovided.
Minimum levels of social protection and
commitments to the provision of social services
are important public goods that can be included
in the sustainable development goals to enhance
the capabilities people have to cope with adverse
shocks. But there are also public goods that are
needed to reduce the likelihood of crises, such as
fostering climate stability or reducing the likeli-
hood of yet another financial crisis. Progress has
been made in the past—for example, the eradica-
tion of smallpox. The task now is to extend this
kind of collective effort to the provision of other
types of vulnerability-reducing public goods.
Fixing shortcomings in global
governance architectures
There is a mismatch between governance
mechanisms and the vulnerability and com-
plexity of global processes. Many international
institutions and structures were designed for
a post–Second World War order, and reforms
have not reflected changing power relations.
Meanwhile, new regimes, such as those for
global intellectual property rights, often ben-
efit elites disproportionately. Governance sys-
tems are not only short on offering protections
and enhancing capabilities; in some cases they
are producing new vulnerabilities. In many
respects the shortcomings of global governance
architectures in reducing vulnerability stem
from deep asymmetries of power, voice and
influence. Agendas and policies underrepresent
the interests and needs of the least developed
countries and the people most vulnerable—for
example, unskilled workers, immigrants and
older people. Those with the least capacity to
cope with shocks and adjust to the speed of
change are the least involved in creating the reg-
ulations, norms and goals of global governance.
The list of global challenges is long, and at
times responses may seem out of reach, but
we know that markets can be better regulat-
ed, financial and trade systems adjusted, and
environmental threats reduced. Certain adjust-
ments can be made across global issue areas to
increase the likelihood that states will act col-
lectively and to ensure cohesiveness in global
governance. These are first-order changes that
make policy and institutional progress more
likely on specific problems.
First, is the imperative to ensure equitable
participation of developing countries in global
governance so that the needs of more-vulnerable
countries, including in particular the least devel-
oped countries and small island developing states,
are not marginalized. Second, participation can
be extended to include perspectives from the
private sector and civil society to ensure support
for global collective action among states. Third,
collective action is most effective if it is inclusive,
with decisions being made in representative insti-
tutions, not in ad hoc groupings of countries like
the Group of 20 or in selective meetings where
decisionmaking lacks transparency. Finally, great-
er coordination and cooperation among global
governance institutions in different issue areas
can reduce spillovers and better align goals.
This Report emphasizes the potential of
collective action to restructure global systems
in a way that instils new capabilities in people
rather than generating new vulnerabilities
and adding to existing insecurity. Widespread
cooperation among states, international in-
stitutions, the private sector and civil society
is possible. Global governance systems have
to break the link between globalization and
vulnerability—and this is more likely to occur
when global policies and decisionmaking are
inclusive, accountable and coordinated.
Governance systems are
not only short on offering
protections and enhancing
capabilities; in some
cases they are producing
new vulnerabilities
Key messages
This Report seeks to improve understand-
ing and raise awareness about how reducing
Overview | 9
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The intersecting or
overlapping vulnerabilities
arising from economic,
environmental, physical,
health and other
insecurities magnify
the adverse impact on
freedoms and functions
vulnerability and building resilience are essen-
tial for sustainable human development. In
doing so, it makes the following central points:
•
Vulnerability threatens human development—
and unless it is systematically addressed, by
changing policies and social norms, progress
will be neither equitable nor sustainable.
While almost all countries have improved
their levels of human development over the
past few decades, recent gains have not been
smooth. Progress has taken place in a context
of growing uncertainty due to deeper and
more-frequent shocks. From greater financial
instability to high and volatile commodity
prices, from recurrent natural disasters to
widespread social and political discontent,
human development achievements are more
exposed to adverse events.
Hundreds of millions of poor, margin-
alized or otherwise disadvantaged people
remain unusually vulnerable to economic
shocks, rights violations, natural disasters,
disease, conflict and environmental hazards.
If not systematically identified and reduced,
these chronic vulnerabilities could jeopard-
ize the sustainability of human development
progress for decades to come. Shocks from
multiple causes are inevitable and often un-
predictable, but human vulnerability can be
reduced with more-responsive states, better
public policies and changes in social norms.
•
Life cycle vulnerability, structural vulnerabili-
ty and insecure lives are fundamental sources of
persistent deprivation—and must be addressed
for human development to be secured and for
progress to be sustained.
Different aspects of vulnerability can over-
lap and reinforce persistent deprivations. Life
cycle vulnerability—from infancy through
youth, adulthood and old age—can affect
the formation of life capabilities. Inadequate
investments in sensitive phases of life create
long-term vulnerability. Similarly, vulner-
ability embedded in social contexts gener-
ates discriminatory behaviours and creates
structural barriers for people and groups to
exercise their rights and choices, perpetuat-
ing their deprivations. And fear for physical
security in daily life has deeper ramifications
for securing or sustaining progress.
The intersecting or overlapping vulnerabil-
ities arising from economic, environmental,
physical, health and other insecurities mag-
nify the adverse impact on freedoms and
functions. This makes it much more difficult
for individuals and societies to recover from
shocks. Recovery pathways and public pol-
icies must incorporate measures that build
resilience and stabilizers to respond to and
cope with future challenges.
•
Policy responses to vulnerability should prevent
threats, promote capabilities and protect peo-
ple, especially the most vulnerable.
Most vulnerabilities remain persistent—a
consequence of social marginalization, in-
sufficient public services and other policy
failures. Persistent vulnerability reflects deep
deficiencies in public policies and institu-
tions, societal norms and the provision of
public services, including past and present
discrimination against groups based on eth-
nicity, religion, gender and other identities.
It also reveals state and societal inability or
unwillingness to anticipate and protect vul-
nerable people against severe external shocks,
many of them predictable in kind, if not in
precise timing or impact.
Building resilience thus requires boosting
the capacity of individuals, societies and
countries to respond to setbacks. People with
insufficient core capabilities, as in education
and health, are less able to exercise their
agency to live lives they value. Further, their
choices may be restricted or held back by so-
cial barriers and other exclusionary practices,
which can further embed social prejudice in
public institutions and policies. Responsive
institutions and effective policy interventions
can create a sustainable dynamic to bolster
individual capabilities and social conditions
that strengthen human agency—making in-
dividuals and societies more resilient.
•
Everyone should have the right to education,
health care and other basic services. Putting
this principle of universalism into practice
will require dedicated attention and resources,
particularly for the poor and other vulnerable
groups.
Universalism should guide all aspects of
national policies—to ensure that all groups
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SPECIAL CONTRIBUTION
The Post-2015 Agenda: Addressing vulnerabilities and building resilience
Two years from the 2015 deadline, Africa’s progress on the Millennium
Development Goals remains uneven. Remarkable advances have been made
in some areas, such as net primary school enrollment, gender parity in pri-
mary education, the representation of women in decision-making, some
reduction in poverty, immunization coverage, and stemming the spread of
HIV/AIDS.
Notwithstanding this progress, there is ample room for more good
news. Some areas have been neglected when they should have been put up-
front, for example malaria, the number one killer of children in sub-Saharan
Africa and many other places in the world. Additionally, the goal for school
enrollment did not take into account the need for quality education.
Over the past decade, Africa has made great strides in instituting po-
litical and economic reforms that are starting to bear fruits. These future
successes are, however, vulnerable to many factors that are not within
Africa’s control but can be redressed through collective engagement and
a new international development partnership. Although some parts of the
continent still grapple with political instability, this is now a rarity, no longer
the rule. The new global development agenda that will be agreed upon in
2015 presents an opportunity for Africa to take stock of these challenges
and our position in the world.
Economic transformation is a particular priority on my continent. It will
help us to reduce our vulnerability to social, economic and environmental
shocks, but it is not a priority for Africa alone. The recent economic melt-
down that plunged the world into recession, the widening gap between rich
and poor with its attending inequalities that fuel social unrest, and the rising
H.E. Ellen Johnson Sirleaf, President of Liberia
scourge of youth unemployment, as well as global environmental threats
created by negative economic policies, clearly show that transformation is
needed everywhere, not just in Africa.
When the UN High-Level Panel on Post-2015 met in Liberia in January
2013, under the general theme of “economic transformation,” we identified
six key areas which we believed must form part of a transformative agenda:
the pursuit of inclusive growth that reduces inequalities; the promotion of
economic diversification and value addition; the creation of a stable, en-
abling environment for the private sector and free enterprise to flourish; the
necessity to change our production and consumption patterns to protect our
ecosystems; the creation and strengthening of fair and transparent institu-
tions; and, finally, the necessity to create equal opportunities for all.
There are opportunities today that can make the transformation not only
plausible but very affordable. We live in an era where rapid technological
change, especially empowered by the information revolution, is deepening
the integration of the world economy, changing the structure of jobs, offer-
ing new economic opportunities for all countries, facilitating green growth
and enabling many low-income countries to leapfrog through economic
transformation.
We have the means and capacities to effect changes. The current global
consultations on a Post-2015 Development Agenda bode well for a world
with a common vision, with opportunities and shared responsibilities. Africa
will contribute to develop a world where no one is left behind, where all
have equal opportunity to prosper, and a world where we show respect for
our environment.
and sections in society have equality of
opportunity. This entails differential and
targeted treatment for unequal or historically
disadvantaged sections by providing greater
proportional resources and services to the
poor, the excluded and the marginalized
to enhance everyone’s capabilities and life
choices.
Universalism is a powerful way of directly
addressing the uncertain nature of vulnera-
bility. If social policies have a universal aim,
not only do they protect those who currently
experience poverty, poor health or a bout of
unemployment, but they also protect indi-
viduals and households who are doing well
but may find themselves struggling if things
go wrong. Further, they secure certain basic
core capabilities of future generations.
•
Strong universal social protection not only im-
proves individual resilience—it can also bolster
the resilience of the economy as a whole.
Nearly all countries at any stage of devel-
opment can provide a basic floor of social
protection. They can progressively expand
to higher levels of social protection as fiscal
space allows. A lower income country might
start with basic education and health care
and later expand to offer cash transfers or
basic labour protection. A higher income
country with already well established basic
education, health care and conditional cash
transfer programmes might expand eligibility
for unemployment insurance to traditionally
excluded populations, such as agricultural
or domestic workers, or expand family leave
policies for new parents to include fathers.
•
Full employment should be a policy goal for
societies at all levels of development.
When employment is either unattainable
or with very low rewards, it is a major source
of vulnerability with lasting repercussions
for individuals and for their families and
communities. It is time to recognize that
the opportunity to have a decent job is a
fundamental aspect of building human capa-
bilities—and, equally, to see full employment
Overview | 11
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Providing meaningful
employment opportunities
to all adult job-seekers
should be embraced as
a universal goal, just as
education or health care
as smart, effective social policy. Providing
meaningful employment opportunities to
all adult job-seekers should be embraced as
a universal goal, just as education or health
care. Full employment should be an agreed
societal goal, not simply as a matter of social
justice and economic productivity, but as an
essential element of social cohesion and basic
human dignity.
Decent work that pays reasonable wages,
involves formal contracts preventing abrupt
dismissals and provides entitlements to social
security can enormously reduce employee
vulnerability, although less so in recessions.
Reducing employment vulnerability is then
hugely important from the perspective of
reducing human vulnerability in general. Yet
this is clearly difficult to do. The importance
of realizing decent and full employment has
long been recognized, but large-scale un-
employment and underemployment contin-
ue in most countries.
•
The effects of crises, when they occur, can be less-
ened through preparedness and recovery efforts
that can also leave societies more resilient.
Sudden onset of hazards and crises, from
natural disasters to violent conflicts, often
occur with destructive consequences for hu-
man development progress. Building capaci-
ties in preparedness and recovery can enable
communities to withstand these shocks with
less loss of life and resources and can support
faster recoveries. Efforts to build social cohe-
sion in conflict areas can lead to long-term
reductions in the risk of conflict, while early
warning systems and responsive institutions
lessen the impacts of natural disasters.
•
Vulnerabilities are increasingly global in their
origin and impact, requiring collective action
and better international governance.
Pollution, natural disasters, conflicts,
climate change and economic crises do not
respect political boundaries and cannot be
managed by national governments alone.
Today’s fragmented global institutions are
neither accountable enough nor fast enough
to address pressing global challenges. Better
coordination and perhaps better institutions
are needed to limit transnational shocks and
urgently respond to our changing climate
as an integral part of the post-2015 agenda.
Stronger, responsive and more-representative
global governance is essential for more-
effective global action. Much can be done
to improve global and national responses to
crises, to prevent such crises from occurring
and to reduce their magnitude.
•
A global effort is needed to ensure that globali-
zation advances and protects human devel-
opment—national measures are more easily
enacted when global commitments are in place
and global support is available.
An international consensus on universal
social protection would open national policy
space for better services for all people, reduc-
ing the risk of a global ‘race to the bottom’.
Elements of a global social contract would
recognize the rights of all people to educa-
tion, health care, decent jobs and a voice in
their own future. The global agenda must
seek to address vulnerability and strengthen
resilience comprehensively. Whether they
are pursued in defining new sustainable de-
velopment goals or in the broader post-2015
discussions, a formal international commit-
ment would help ensure universal action.
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“Human rights are violated not
only by terrorism, repression
or assassination, but also by
unfair economic structures that
create huge inequalities.”
Pope Francis I
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1.
Vulnerability and human development
“Human development is a process of enlarging people’s choices. The most critical ones are to lead a long and healthy life,
to be educated and to enjoy a decent standard of living.”
—Human
Development Report 1990
1
“Vulnerability is not the same as poverty. It means not lack or want but defencelessness, insecurity and exposure to risks,
shocks and stress.”
—Robert Chambers
2
On Sunday, 26 December 2004, an earthquake
off Sumatra triggered one of the worst disasters
in recorded history. Some 230,000 people in
14 countries died, with incalculable damage to
livelihoods and communities. Almost a decade
later many people continue to struggle to re-
gain their lives.
Adverse shocks can come from many di-
rections. Environmental changes can lead to
natural disasters such as floods and droughts.
Economic shocks can lead to lost jobs through
recession or worsening terms of trade. Health
shocks can lead to reduced incomes—as well as
rising medical expenses—for households. Wars
and civil conflict can have pervasive negative
impacts on human development.
One way to reduce vulnerability is to prevent
disasters. The way the world tackles climate
change or organizes global financial systems can
be critically important for reducing the frequen-
cy and magnitude of shocks. When prevention
is not possible, the effects can be mitigated by
building preparedness and response capabili-
ties. Natural disasters cannot be prevented, but
environmental systems and seismic activity can
be monitored, and early warning systems can
save lives. When the Eyjafjallajökull volcano
erupted in Iceland in 2010, there was no loss
of life: Ongoing monitoring of seismic activity
provided advance warning, rescue services and
emergency plans were put into effect to evac-
uate the local population overnight and the
airspace in some 20 countries was closed. And
when cyclone Phailin struck India in October
2013, the death toll was less than 50, thanks to
global storm tracking systems and the advance
evacuation of a million people; by contrast,
there were 10,000 deaths the last time a similar
super cyclone struck the area in 1999.
3
Vulnerability can also be reduced by
building resilience among both people and
communities. Some resilience building is
threat-specific, such as changing land use laws
to prevent people from living in flood-prone
areas. Other resilience building is more sys-
temic and longer term, endowing people and
societies with the skills to weather and recover
from many different shocks. Social cohesion
can profoundly affect many aspects of life, from
disaster recovery to the quality of government.
Education and investment, especially for the
very young, can equip people to adapt when
a financial crisis or natural disaster takes away
their livelihood. And social protection and re-
sponsive institutions can ensure that those who
need help receive it fairly, thus lessening the
adverse impacts that might flow on to future
generations.
Human vulnerability
is about the prospect of
eroding human development achievements and
their sustainability. A person (or community
or country) is vulnerable when there is a high
risk of future deterioration in circumstances
and achievements. Of course, we all live in an
uncertain world, and it may never be possible
to reduce such risks to zero. Everyone, rich or
poor, is vulnerable to some extent. But this
Report focuses on the possibility of
major
deterioration in conditions, which may take
people down to unacceptably bad conditions—
poverty and destitution—or worsen the con-
ditions of those already suffering low human
development.
How far shocks translate into reduced hu-
man development depends on people’s ability
to cope with shocks as well as on the assistance
that they may receive. People’s ability to cope
and adjust is referred to here as
human resilience
(box 1.1). Most people are resilient to some
degree—they can adjust to minor shocks, for
example. But how far they can adjust to large or
persistent shocks without a major sacrifice and
Chapter 1
Vulnerability and human development
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BOX 1.1
Towards human resilience: concepts and definitions
Resilience
is used in different ways by different disciplines. In ecology and
the natural sciences resilience was traditionally understood as a property
that allows a system to recover its prior state after suffering a shock.
1
The
term has now come to be seen, not without some controversy, in more dy-
namic terms. The Intergovernmental Panel on Climate Change defines re-
silience as the “ability of a system and its component parts to anticipate,
absorb, accommodate, or recover from the effects of a hazardous event in a
timely and efficient manner.”
2
A related concept,
social resilience,
is defined
as the capacity of individuals or groups to secure favourable outcomes under
new circumstances and, if need be, by new means.
3
Given its origin in the study of natural systems and engineering, resil-
ience, as traditionally defined, does not adequately address empowerment
and human agency or the power-related connotations of vulnerability.
4
A group
or community may be resilient at the expense of another group.
5
Assessments
of the resilience of systems must take into account possible tradeoffs and
asymmetries among different groups and individuals within the system.
A human development approach to resilience focuses on people and
their interactions, where power and social position are important factors.
Resilience is to be built at the level of both individuals and society—in
terms of their individual capabilities and social competences.
Resilience also encourages a better understanding of systems, the in-
teraction of components and the feedback loops involved. It is important
to consider the architecture and internal logic of systems, especially since
some systems may themselves be sources of vulnerability.
6
It can be also
be useful to understand what happens when different system components
interact and how their interaction can lead to unintended or unpredictable
consequences.
7
For example, a study of climate-related disasters would do
well to include rural-urban and migration dynamics.
While most people are vulnerable to some extent, this Report focuses on
those who are particularly vulnerable to severe deterioration in well-being
and human development. How far shocks translate into reduced human de-
velopment depends on people’s ability to adjust and cope with shocks, and
this ability of people to cope and adjust may be termed
human resilience.
Vulnerability can be reduced by preventing shocks or by building re-
silience at the individual and community levels. Due to the constructs of
society, some people face restricted choices and capabilities. Human resil-
ience is about removing the barriers that hold people back in their freedom
to act. It is also about enabling the disadvantaged and excluded groups to
express their concerns, to be heard and to be active agents in shaping their
destinies.
Notes
1. Holling 1973; Miller and others 2010. 2. IPCC 2012, p. 2. 3. Hall and Lamont 2013. 4. Cannon and Muller-Mahn 2010. 5. Households and communities may sometimes strengthen their resilience only at the expense of their own
well-being or self-esteem; see Béné and others (2012). 6. Stiglitz and Kaldor 2013a. 7. Gallopín 2006.
loss of human development varies according to
their circumstances. The required adjustment
depends on the nature of the shock and the
circumstances of those affected. Those who
are better placed and find it easier to adjust are
more resilient.
This Report develops two basic propositions.
One is that people’s vulnerability is influenced
considerably by their capabilities and social
context. The other is that failures to protect
people against vulnerability are mostly a con-
sequence of inadequate policies and poor or
dysfunctional social institutions. And while
almost anyone can be vulnerable to some
event or shock, this Report focuses on those
particularly vulnerable to changes in personal
circumstances and external shocks, especially
from persistent or systematic threats to human
development, such as climate change, violence
and societal barriers that prevent people from
exercising their full ability to act.
Two central theses of this Report are that
sustainably enhancing and protecting indi-
vidual choices and capabilities and societal
competences are essential and that human
development strategies and policies must
16 | HUMAN DEVELOPMENT REPORT
2014
consciously aim to reduce vulnerability and
build resilience. A better understanding of
vulnerability and resilience from a multi-
dimensional human development perspective
allows for a deeper analysis of the key factors
and policies that explain why some individuals,
communities or countries are more resilient to
adverse events and respond better to them.
In this vein, this Report seeks to answer some
critical questions:
• Who are the most vulnerable? Which groups
are inherently or structurally vulnerable?
• How can vulnerability be reduced and hu-
man resilience increased?
• Are there architectural or systemic issues to
address, particularly at the global level, so
that human development progress can be
more secure?
A human development perspective
This Report takes a human development per-
spective to vulnerability and goes beyond a nar-
row interpretation of vulnerability as exposure
to risk. This viewpoint underlines the role of
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people’s capabilities in minimizing adverse con-
sequences from shocks and persistent threats. It
also unearths important factors underlying vul-
nerability, such as exclusion and discrimination
that would not be evident from a risk-based
approach alone. The structural causes under-
lying vulnerability are key to understanding
why some groups and people are systematically
worse off when disaster strikes or even in lead-
ing secure lives, free from violent threats.
A risk-based approach would recommend
policies such as insurance to manage risk.
While these policies are important, a human
development approach points to a broader
canvas of policies that build the strength of
individuals and societies—and suggests fun-
damental principles that can be followed and
built into specific polices for reducing vulner-
ability and building resilience.
People with higher human development,
notably with good health and education, are
more resilient than those who are malnour-
ished, without education and thus in a weaker
position to change their activity or location
in reaction to adverse shocks. Owning assets
enables people to protect their core capabili-
ties by using these assets when circumstances
deteriorate. But the social context and power
relations have a large bearing on people’s
vulnerability. Minorities or people with dis-
abilities, for instance, even those healthy and
educated, may feel vulnerable if they cannot
express their concerns openly, if the political
system does not take their voices seriously or if
institutions do not serve them well. Similarly,
the nature of the risks—especially when
persistent or systemic—matter in shaping
specific vulnerabilities. Rising sea levels, for
example, present a long-term risk to coastal
communities.
To protect well-being or minimize loss-
es when circumstances change, people or
households may make a range of adjustments,
including changing their location, activity or
spending, using their assets or borrowing. The
set of choices available depends on a person’s
capabilities, position in society and age as well
as several other factors. Some groups, such as
the poor and the near poor, may not have much
savings or many assets to fall back on. When
adversity strikes, they have to resort to harmful
coping strategies such as cutting back on food
or reducing spending on health or children’s
education.
4
Human resilience means that people can ex-
ercise their choices safely and freely—including
being confident that the opportunities they
have today will not be lost tomorrow. While
being less vulnerable often goes hand in hand
with being more resilient, resilience is more
than just a mirror of vulnerability. It may be
possible to reduce vulnerability by lowering the
incidence of shocks and threats. But society’s
resilience may remain unaffected unless other
measures are also applied. Active policies to
build community, to remove barriers to in-
dividual expression and to strengthen norms
to help others in need all might be needed
to build resilience. A useful way to view this
relationship is as going ‘from vulnerability to
resilience’.
People’s vulnerability to particular shocks de-
pends not only on their own resilience but also
on others’ treatment of those who suffer from
adverse events. Institutions that can provide
support to those in adversity include a range of
social and government institutions that may be
local, national or international. Social institu-
tions are those in which people act collectively;
they exclude profit-making market institutions
and the state.
5
Important social institutions
include family networks (including global fam-
ily networks), community organizations and
nongovernmental organizations. The strength
of support from social institutions depends on
prevalent norms—for instance, how far provid-
ing aid during adversity is regarded as a social
obligation—and on their social competences
or ability to provide support.
6
A human development approach is incom-
plete unless it incorporates vulnerability and
resilience in the analysis. Sustained progress in
human development is a matter of expanding
people’s choices and keeping those choices
secure. The world has experienced progress
in human development for some time. But
increasingly this progress seems threatened by
uncertainty and by persistent inequality and
climate change. Understanding vulnerability
and resilience in their fuller sense becomes
necessary to define the policies and actions that
can sustain progress.
This was recognized in the 1994
Human
Development Report (HDR)
on human security.
A human development
approach is incomplete
unless it incorporates
vulnerability and
resilience in the analysis
Chapter 1
Vulnerability and human development
| 17
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The concepts of
vulnerability and resilience
add much to the human
development approach
by looking not just at
achievements but also
at risk and uncertainty
Human security was defined then as having two
main aspects: “It means safety from the con-
stant threats of hunger, disease, crime and re-
pression. It also means protection from sudden
and hurtful disruptions in the patterns of our
daily lives—whether in our homes, in our jobs,
in our communities or in our environment.”
7
In the 1994
HDR
and in the later Ogata
and Sen Commission on Human Security,
doing well in human security is interpreted
as implying both that a good level of human
development has been achieved and that
people are relatively secure against hazards
arising from the economy, ill health, violence
and environmental deterioration.
8
This year’s
Report, while closely aligned with the human
security approach, puts the major focus on
vulnerability—on the threats to achievement
in human development and the ways to reduce
them. This is a more direct way of handling
such a complex issue, especially since the hu-
man security approach has been interpreted in
a variety of ways since 1994. Some have con-
fined human security to security from physical
assault for individuals,
9
while others have used
the term to embrace almost any aspect of de-
velopment.
10
The approach to vulnerability
here is broader than the first interpretation
but not as wide-ranging as the second. It en-
compasses vulnerability to any type of adverse
event that could threaten people’s capabilities
and choices.
A major motivation for this focus is the view
that despite progress on human development
in many countries and in many respects (chap-
ter  2), vulnerability for many people is high
and perhaps rising. There has been an increase
in natural hazards associated with climate
change and in economic fluctuations associated
with globalization and the recession of the late
2000s. Employment insecurity in particular
seems to have been rising in both rich and poor
countries,
11
while threats from global health
pandemics remain high. In some parts of the
world—especially in the Middle East and parts
of Africa—political violence is a major threat,
while terrorist incidents have led to a global
nervousness. Finding policies that will reduce
such threats, increase human resilience and
protect people when they confront hazards is
an urgent priority from a human development
perspective.
The concepts of vulnerability and resilience
add much to the human development approach
by looking not just at achievements but also at
risk and uncertainty. Through them, we can
explore the potential downsides of any given
level of human development and design poli-
cies to protect it and make progress more resil-
ient. Through a different lens, they emphasize
sustainable and secure human development.
When individuals face vulnerability and when
their lives are persistently restricted in the wake
of a shock, their capabilities may be harmed
over the long term. And these worsened condi-
tions, particularly for children and women, can
have intergenerational consequences.
Vulnerable people,
vulnerable world
Vulnerability, as a concept, can seem overly
broad and abstract. After all, most people and
most societies at different levels of develop-
ment are vulnerable in many ways to adverse
events and circumstances, not all of which
can be anticipated or prevented. Economic
weaknesses undermine the social contract even
in advanced industrialized societies today, and
no country or community anywhere is immune
to the long-term effects of climate change.
But vulnerability as a concept can become less
abstract when broken down into who is vul-
nerable, what are they vulnerable to and why
(figure 1.1).
Who is vulnerable?
In principle, everyone is vulnerable to some
adverse event or circumstance, but some
people are more vulnerable than others. One
way of identifying groups who are vulnera-
ble to adverse shocks or events is to think of
thresholds; this also allows for some degree
of measurement. People are vulnerable to
poverty if they are “below or at risk of falling
below a certain minimally acceptable threshold
of critical choices across several dimensions,
such as health, education, material resources,
security.”
12
These thresholds are likely to vary
according to the level of development.
Poverty and vulnerability are linked,
multidimensional and, at times, mutually
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FIGURE 1.1
Who is vulnerable to what and why?
Who?
The poor, informal workers
socially excluded
Women, people with
disabilities, migrants,
minorities, children,
the elderly, youth
Whole communities,
regions
To what?
Economic shocks,
health shocks
Why?
Why
Limited
capabilities
Location, position
in society, sensitive
periods in the life cycle
Low social cohesion,
unresponsive institutions,
poor governance
Vulnerability
Natural disasters, climate
change, industrial hazards
Conflict,
civil unrest
Source:
Human Development Report Office.
reinforcing. But they are not synonymous.
While vulnerability is generally an important
aspect of being poor, being rich is not the same
as not being vulnerable. Both poverty and
vulnerability are dynamic. The rich may not be
vulnerable all the time or throughout their lives
just as some of the poor may not remain poor
all the time.
But the poor are inherently vulnerable
because they lack sufficient core capabilities
to exercise their full agency. They suffer from
many deprivations. They not only lack ade-
quate material assets, they tend to have poor
education and health and to suffer deficiencies
in other areas. Equally, their access to justice
systems may be constrained.
13
They tend to be
intrinsically vulnerable.
The poor already fall below the critical pover-
ty threshold. If people are vulnerable when they
face a high risk of falling below the threshold,
the poor—already below it—are all vulnerable.
This is true by definition, but it is more than a
question of definition alone. Anyone lacking
the essentials for a minimally acceptable life is
truly vulnerable.
More than 2.2 billion people are vulnerable
to multidimensional poverty, including al-
most 1.5 billion who are multidimensionally
poor.
14
Three-quarters of the world’s poor
live in rural areas, where agricultural workers
suffer the highest incidence of poverty, caught
in a cauldron of low productivity, seasonal
unemployment and low wages.
15
Globally,
1.2 billion people (22 percent) live on less than
$1.25 a day. Increasing the income poverty
line to $2.50 a day raises the global income
poverty rate to about 50 percent, or 2.7 billion
people.
16
Moving the poverty line in this way
draws in a large number of people who are
potentially vulnerable to poverty and reduced
circumstances. In South Asia 44.4 percent of
the population, around 730  million people,
live on $1.25−$2.50 a day.
17
Many who re-
cently joined the middle class could easily fall
back into poverty with a sudden change in
circumstances.
Worldwide the proportion of the income
poor and the multidimensionally poor has
been declining, but this does not necessarily
mean that their vulnerability has been reduced
(chapter 3). Sizeable portions of the popula-
tion are close to the poverty threshold (the
“near poor”), and such a clustering implies
that idiosyncratic or generalized shocks could
easily push a large number of people back into
poverty.
But vulnerability extends further. Ill health,
job losses, limited access to material resources,
economic downturns and unstable climate all
add to people’s vulnerability and economic
insecurity, especially when risk mitigation
arrangements are not well established and
social protection measures and health systems
are not sufficiently robust or comprehensive.
Chapter 1
Vulnerability and human development
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With limited social
protection, financial
crises can quickly lead to
profound social crises
According to the International Labour
Organization (ILO), only a third of countries
worldwide—with about 28 percent of the glob-
al population—provide comprehensive social
protection for their citizens.
18
With limited social protection, financial
crises can quickly lead to profound social
crises. Indonesia’s poverty rate shot up from
11 percent to 37 percent during the Asian fi-
nancial crisis in the late 1990s.
19
Similarly, the
2007–2008 world financial crisis led to a sharp
jump in the number of working poor. The ILO
estimates that there were 50  million more
working poor in 2011. Only 24 million of them
climbed above the $1.25 income poverty line
over 2007–2011, compared with 134 million
between 2000 and 2007.
20
Work is one of people’s main sources of se-
curity. Jobs provide and sustain livelihoods, but
even more important to reducing vulnerability
is access to decent jobs, with the requisite social
protections. Several forces have come together
to make finding decent jobs more difficult in
the current environment. One is globalization,
which has put pressure on social compacts,
reducing some of the built-in national ‘shock
absorbers’.
21
Added to this is the strong belief
in self-correcting markets, particularly flexible
labour markets, and in macroeconomic poli-
cies that focus more on price stability than on
full employment. When crises hit, rising un-
employment and limited or even absent social
protections heighten economic insecurity and
vulnerability.
Enhancing capabilities—in health, education
and the command over resources—addresses
vulnerability by empowering people to over-
come threats when and where they arise. But
a higher level of capabilities alone may not be
enough—women may feel insecure regardless
of their education. Nor do people function
alone—how individuals relate to each other
or in groups can determine how they protect
people during crises. Whether restrictive norms
and values hold back certain groups (such as
women and minorities) or a lack of cohesion in
society constrains collective action, both influ-
ence how people and communities respond to
risk and threats.
There is an intrinsic issue of equity here
as well—risks are generally greater for the
poor than for the rich. Poor people and poor
countries are particularly subject to vulner-
ability. They face larger shocks, they are less
adaptable and they receive less compensation
(or none) when crises occur.
Vulnerability to what?
What risks do people and societies face, and
what has changed in recent years to make
people feel more vulnerable (box 1.2)?
Analysts argue that some risks appear to be
intensifying, especially those connected to the
environment and climate change and to the
growing connectivity among countries, which
challenges the remit of national policy.
22
With global warming, vulnerability becomes
more acute as a result of climate instability,
reflected in changing weather patterns and
the greater frequency and intensity of natural
disasters. As the 2011
HDR
highlights, these
growing threats most affect poor people and
poor communities: 98 percent of those killed
and affected by natural disasters are from de-
veloping countries.
23
By 2025 more than half
the people in developing countries may be
vulnerable to floods and storms.
24
Moreover,
the threats of environmental changes are be-
coming chronic—as with decades of drought
in the Sahel.
25
And environmental systems are
becoming less resilient, as with the reduced
regenerative value of forest fires in the United
States.
Growing vulnerability and threats cut across
borders.
26
Natural, financial and other shocks
in one country can have global reach, jeopard-
izing development progress in communities
and countries around the world. International
financial instability, regional pandemics, cli-
mate-related disasters, armed conflicts and
failures to enforce international norms and
standards frequently have a direct bearing on
individual capabilities and social competences
across the world.
Transborder vulnerabilities are not new.
Communities and individuals, organizations
and firms have always been threatened by
disruptive external events such as natural and
human-made disasters, economic booms and
busts, and communicable diseases. But most
would agree that the connectivity networks
that link disparate communities have never
been greater than they are today. The result is
20 | HUMAN DEVELOPMENT REPORT
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BOX 1.2
Shocks and threats to human development
The threats to human development come from many different directions.
1
Economic risks
Millions of households live uncertain and insecure lives, facing a constant
threat of shocks to their income and well-being. Lacking private savings,
financial assets and sufficient protection through national policy, these
households are exposed to financial crises and natural disasters. Economic
insecurity can be high in developing countries, where a large proportion of
employment is in the informal economy, lacking coverage from social in-
surance. The informal sector accounts for 25−40 percent of annual output
in developing countries in Africa and Asia.
2
But economic vulnerability is
not a problem in developing countries only. Due to the slow recovery from
the global economic crisis, many people in rich countries continue to face
tremendous insecurity. In 2014 unemployment is expected to be more than
11 percent in France, around 12.5 percent in Italy and close to 28 percent
in Greece and Spain, with even higher rates among young people—almost
60 percent in Spain.
3
Inequality
The 85 richest people in the world have the same wealth as the 3.5 billion
poorest people.
4
Between 1990 and 2010 income inequality in developing
countries rose 11 percent.
5
Inequality in health and education has been de-
clining but remains high, particularly in some regions. Sub-Sahara Africa
has the highest inequality in health outcomes, and South Asia has the high-
est inequality in education.
6
Inequality is a considerable threat to human
development, particularly because it reflects inequality of opportunity.
7
And
beyond a certain threshold, it harms growth, poverty reduction and the qual-
ity of social and political engagement.
8
High inequality also diminishes a
shared sense of purpose and facilitates rent-seeking by influential groups.
9
Rent-seeking, directed towards getting a larger share of the pie rather than
increasing its size, distorts resource allocation and weakens the economy.
10
Inequality impedes future human development by reducing investment in
basic services and public goods, lowering the progressivity of the tax system
and raising the prospect of political instability.
11
High inequality between
groups is not only unjust but can also affect well-being and threaten politi-
cal stability. When specific groups are discriminated against, resources and
power are not distributed based on merit, and talented people are held back.
Such group inequality fuels dissatisfaction and grievances.
12
Health risks
Health shocks can be some of the most destabilizing to households and so-
ciety, and hunger and malnutrition add to the high risks of poverty-related
health threats. In India paying for health care has become a major source
of impoverishment for the poor and even the middle class. Ill health of the
main wage earner can push households into poverty and keep them there.
13
Recent data suggest that more than 40 percent of hospital patients either
borrow money or sell assets and that close to 35 percent fall into poverty
because of having to pay for their care.
14
And making the lives of everyone
vulnerable, not just the poor, are the HIV/AIDS epidemic, the accelerating
spread of malaria and tuberculosis, the rapid spreads of dengue and swine
flu, and the increasing threats of bioterrorism.
Environment and natural disasters
Global risks connected to the environment and climate change appear to be
intensifying. Climate change will produce more droughts in arid regions and
more-frequent and more-intense hurricanes, typhoons and other extreme
weather phenomena. It will also lead to rising sea levels, flooding, water
scarcity in key regions, the migration or extinction of plant and animal spe-
cies, and the acidification of oceans.
15
Other environmental threats arise
from extensive industrialization and rapid urbanization. In every country
there are growing problems of scarce water, poor sanitation, degraded land,
eroded soil, polluted air and threats to biodiversity. Climate change is adding
to the variability in farm incomes and insecurity in livelihoods that depend
on ecosystems.
16
For example, pastoral communities in Western Niger have
experienced the effects of prolonged drought combined with overgrazing,
leading to the conversion of open woodland with perennial grasses to a
mosaic of bare ground and unpalatable shrubs.
17
Food insecurity
High volatility in the prices and availability of food are of particular concern,
given the large impact on poor people and poor countries. Following the
2008 global economic crisis, food price spikes and recession slowed the
decline in the number of people worldwide suffering from hunger, which
the Food and Agriculture Organization of the United Nations estimated at
842 million people in 2012.
18
This serves as powerful commentary on the
inadequacy of global efforts to eliminate hunger and reduce deprivations
more broadly.
Physical insecurity
Conflict and war inflict shocks on society and human security. Greatly threat-
ening lives and livelihoods are outbreaks of communal violence, attacks by
terrorist groups, fights between street gangs and protests that turn violent.
And criminal and domestic violence adds to personal insecurity. The World
Health Organization estimates that about 4,400 people die every day be-
cause of intentional acts of violence.
19
Of the estimated 1.6 million who died
from violence in 2000, almost half were suicides, nearly a third homicides
and a fifth war-related (most of them men). In some conflicts civilians are
targeted and mutilated as a deliberate strategy to demoralize communities
and destroy their social structures. Rape is often an expression of power and
brutality against communities.
20
Notes
1. For a comprehensive list and full coverage, see World Economic Forum (2014). 2. World Bank n.d. 3. OECD 2013d,f. 4. Fuentes-Nieva and Galasso 2014. 5. UNDP 2014. 6. HDRO data (see table 3 in
Statistical annex).
7. This is
inequality stemming from factors and circumstances beyond the scope of individual responsibility, such as race and socioeconomic background. See Roemer (1993) and Van de Gaer (1993). 8. UNDP 2014. 9. It is arguably also a
result of that behaviour since rent-seeking redistributes resources from those at the bottom to those at the top. 10. Stiglitz 2012b. 11. Pineda and Rodríguez 2006b; Bénabou 2000; Alesina and others 1996. 12. Stewart, Brown
and Mancini 2005. 13. Narayan and Petesch 2007. 14. Raman and Björkman 2000. 15. IPCC 2013. 16. UNDP 2011a, 2012a. 17. Sinclair and Fryxell 1985; Tshimpanga 2011. 18. FAO, IFAD and WFP 2013. 19. Krug and others 2002b.
20. Krug and others 2002a.
Chapter 1
Vulnerability and human development
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A highly integrated
global system has fuelled
investment, trade and
economic growth, but
when global supply chains
get disrupted, it affects far
more people than those
in the country where
the shock originated
a deep and entirely new form of interdepend-
ence, with the actions of every human being
having the potential to affect the life chances
of others around the globe as well as those of
future generations.
A highly integrated global system has fuelled
investment, trade and economic growth, but
shocks can be contagious. When global sup-
ply chains get disrupted, it affects far more
people than those in the country where the
shock originated, as the 2011 Tohoku earth-
quake and tsunami show. The 1997 Asian
financial crisis had devastating consequences
in the region and beyond. And the 2008 bank
failures in New York shook financial capitals
everywhere and led to a still lingering global
recession with long-term effects. Countries
and individuals are ill-equipped to respond to
global shocks, and some of the policy respons-
es adopted so far appear to be generating new
vulnerabilities.
27
A connected world also creates global de-
mands for workers with different skills. Such
job creation is positive and generally improves
people’s lives. Today there are more than
200  million migrants around the world, a
generally vulnerable community with limited
formal protections. Many migrants—if not
most—have precarious rights and face uncer-
tain futures. They have to reconcile the loss
of dignity, the disruption of families and even
the potential for violence with the prospect of
earning more.
People around the world are getting more
connected, facilitated by social media. Thanks
to Facebook and Twitter, newly connected
communities trade ideas and knowledge in
a way that could not have been imagined just
a few years ago. But as the 2013
HDR
noted,
many people—especially the young, who are
more educated and social media savvy—are
pressing for better, more-secure jobs and to be
treated with dignity. They are challenging gov-
ernments everywhere to do better. A force for
change clearly, but as the recent years testify, so-
cial and political change can produce unsettled
conditions, even conflicts, if not well managed.
The why of vulnerability
This Report analyses systemic and overarching
vulnerability that reduces individuals’ ability to
22 | HUMAN DEVELOPMENT REPORT
2014
manage their affairs and that weakens the foun-
dations of society. It looks at groups of people
who are structurally the most vulnerable and
tries to understand why that is so. It also devel-
ops the concept of life capabilities, examining
how vulnerability changes over a life cycle. This
life cycle approach points to sensitive transition
periods of life when support is necessary and
assesses how vulnerabilities may interact and
compound as people age.
Structural vulnerability is rooted in people’s
position in society—their gender, ethnicity,
race, job type or social status—and evolves and
persists over long periods. A fuller understand-
ing of such vulnerability implies that people
who are otherwise endowed with equal capa-
bilities may still face differing barriers based on
who they are, where they live or what they do.
The poor are one such structurally vulner-
able group. But poor people are not the only
group that can be categorized in this way.
Political and economic discrimination exists in
countries across different levels of the Human
Development Index. Minority and socially
excluded groups experience high horizontal
inequality and often suffer discrimination
in access to jobs, justice and services.
28
The
Minorities at Risk Project identifies more than
283 minority groups in more than 90 countries
who suffer varying degrees of political and
economic exclusion, ranging from neglect to
repression.
29
Indigenous peoples in particular
experience weak protection of their property
rights,
30
exposing them to risk of expropriation
and exploitation.
People experience many vulnerabilities from
economic, environmental, physical, health and
other insecurities. Overlapping structural vul-
nerabilities can magnify the adverse impact on
freedoms and functioning quite substantially.
Take older people. With ageing comes a higher
probability of being disabled. Worldwide, more
than 46  percent of people ages 60 and older
live with a disability.
31
When vulnerabilities
overlap, individuals find it much more difficult
to recover from shocks to their lives—or to
convert new opportunities into capabilities.
Poor households in particular express fears
about losing or not finding a job, about their
children’s falling sick, about not being able to
send their children to school and about facing
a loss of dignity.
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Such vulnerability results in widespread
and persistent disparities in the capabilities of
excluded groups and in the indicators of their
well-being. For instance, while indigenous
peoples make up about 5 percent of the world’s
population, they account for 15 percent of the
world’s poor and 33 percent of the world’s ex-
treme rural poor.
32
And in most regions politi-
cal exclusion restricts women’s voice and ability
to shape the laws and policies that affect their
lives. Only in Cuba and Rwanda does the share
of women in parliament match their share in
the population.
33
These vulnerabilities are not evenly dis-
tributed across the life cycle. They are espe-
cially acute from infancy to early childhood,
when susceptibility to disease, social disrup-
tion and lapses in learning and nurturing is
greatest. Quality health care and intellectual
stimulation early on can set a child on a
higher life path to advancing human capa-
bilities. Adolescence presents opportunities
and vulnerability in the social and education
spheres and in physical and psychological
health. The elderly depend on caregivers,
accessible public services and often econom-
ic assistance. The concept of
life cycle
or
life
capabilities
captures these key transitions
and what they imply for policies to reduce
vulnerabilities.
Choices and capabilities
Vulnerability reflects threats to choices and
capabilities. If human development is about
widening choices, human vulnerability stems
quintessentially from a restriction of the choic-
es critical to human development—choices
for health, education, command over material
resources and personal security.
Individuals tend to feel more vulnerable
when they have few and less certain options.
Women who are economically independent
tend to be less vulnerable than those who
depend on others for sustenance. Similarly,
illiterate and unskilled workers are more vul-
nerable than well educated people because
they have fewer work options. Deeply indebted
households are likely to be more vulnerable to
exploitation and less able to protect themselves
in adversity.
Choices depend on capabilities. An individ-
ual’s capabilities—all the things a person can
do or be—determine the choices a person can
make. People are vulnerable when they lack
sufficient core capabilities, since this severely
restricts their agency and prevents them from
doing things they value or coping with threats.
Vulnerability is multifaceted and dynamic.
An exclusive focus on economic vulnerability,
defined narrowly as low and irregular earnings,
is not enough. Viewing human vulnerability in
the space of capabilities, choices and freedoms
makes it possible to analyse the full range of
vulnerabilities. Income deprivation is clearly
not the only source of vulnerability. A person
with high income but no opportunity to
participate politically is not poor in the usual
sense but may be highly vulnerable to discrim-
ination and neglect. Equally, a well-off person
can be vulnerable to violent attack, but having
resources can reduce that person’s vulnerability,
since richer people can better protect them-
selves against many adversities.
Unemployed people entitled to receive social
security or unemployment benefits may be
less vulnerable to the loss of income, but un-
employment has other serious effects on their
lives. There is plenty of evidence that the value
of a job far exceeds the wages received,
34
so un-
employment reaches beyond the loss of income.
Its effects include psychological harm (such as a
loss of work motivation and self-confidence),
the attrition of skills, increases in ailments and
illnesses (and even death), disruptions in family
relations and social life, and social exclusion.
35
Viewing vulnerability in the context of
capabilities and choices focuses attention on
the important relationship among human
vulnerability, personal differences, environ-
mental diversities, social variations, relational
perspectives and resource distributions within
households. Vulnerability may depend on a
person’s age, gender, social roles, location, epi-
demiological atmosphere and other variations
over which there is little or no control.
36
Age and disability in particular are impor-
tant facets of vulnerability. Children tend to
be intrinsically more vulnerable than others.
During a stampede, flood or hurricane they
are more vulnerable to injury and death than
adults are. Similarly, older people and those
with disabilities living in high-rise apartments
If human development is
about widening choices,
human vulnerability
stems quintessentially
from a restriction of
the choices critical to
human development
Chapter 1
Vulnerability and human development
| 23
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Perhaps no other aspect
of human security is so
vital to people as their
security from physical
violence, which can
derail the perceived value
of human progress
are more vulnerable in the event of a building
fire than adults and young people who can run
down the stairs. Young people are more vul-
nerable to high-risk behaviours—for example,
by falling prey to enticing advertisements that
promote cigarettes and alcohol.
Even if individuals have a similar income or
education, their vulnerability will depend on
whether they can participate in society equal-
ly, mediated by race, religion or ethnicity. The
quality of institutions therefore influences
vulnerability and the ability to cope with
crises.
Both real and perceived threats affect be-
haviour. Fear of violent assault is of particular
concern to women everywhere. The term
bodily
integrity
gives concrete meaning to this vulner-
ability.
37
Witness the brutal rape in Delhi that
grabbed headlines worldwide in 2012 and
highlighted what women in many societies fear
in their daily lives. Being educated or having a
high income is not enough to overcome such a
threat to bodily integrity.
Perhaps no other aspect of human security
is so vital to people as their security from
physical violence, which can derail the per-
ceived value of human progress. Even in Latin
America and the Caribbean, with high human
development, many people fear that progress
is being threatened by rising levels of homi-
cides and other violent crime. In large parts of
West and Central Africa armed conflict and
lawlessness threaten to reverse human devel-
opment gains, with long-term repercussions
for national progress.
The presence and threat of violence are more
likely to exist in the lives of the poor and the
socially excluded, more likely to affect the
choices and freedoms of women and more
likely to touch those who have fewer resources
and capabilities to settle disputes through ne-
gotiations. Violence is an exercise of power to
restrict choices and freedoms through physical
harm and threats. It is also a means to enforce
social and cultural norms.
38
Another key security is economic. In
today’s world large numbers of people face
economic insecurity and fear not making
ends meet. In developing countries half to
three-quarters of nonagricultural employ-
ment is in the informal economy.
39
In the
absence of job security and social protection
informal workers lead unpredictable and
precarious lives, vulnerable to abuse and
corruption, often by the very law enforce-
ment and civic authorities who should be
protecting them In developed countries the
impacts of the global financial crisis linger.
Greece, Ireland and Italy have yet to recover
from their 2008 economic downturns.
40
The
United States may have recovered much of
its GDP growth, but many people remain in
long-term unemployment.
41
And an entire
generation of young people face a future of
high job and financial insecurity.
42
Economic security and personal security
are linked. People feel secure when they have
jobs with sufficient social protections—and
when they are confident about the future.
Full employment reduces crime and increases
well-being generally.
43
By contrast, high un-
employment fuels uncertainty and inflicts a
sense of hopelessness. Equally, long-standing
unequal treatment and denials of rights feed
into deep discrimination, and at times groups
or communities seek to redress long-estab-
lished inequities through violent means. In
India estimates range from a tenth to a third
of districts having insurrection movements or
armed struggles in one form or the other by
such dissident groups as the Naxalites and oth-
er Maoist groups.
44
Horizontal inequality and
unmet basic rights are often the causes of group
violence.
45
Policies and collective action
A core aspect of human development is having
the freedom to live a life that one values, to
manage one’s affairs adequately. Higher capabil-
ities, particularly in education, advance human
agency—people’s capacity to make choices. It
is a type of freedom—the freedom to act. But
higher capabilities may not be enough. To have
full agency, people also need to be free of social,
institutional and other constraints that inhibit
their ability to act. While empowerment is
quintessentially individual, a useful analogy can
also be drawn for societies. If social cohesion is
not strong and there is ethnic and other frag-
mentation, a society’s capacity for collective ac-
tion is much reduced in responding to adverse
events.
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As highlighted earlier, this Report is about
tackling deep, systemic vulnerability and ex-
amining policies and social institutions that
empower people and build stronger founda-
tions for more-resilient people and societies. It
does not attempt to identify policy fixes that
respond to specific risks or to overcome inad-
equacies of specific systems in managing risks,
such as those dealing with natural disasters.
National governments have a central respon-
sibility to help the vulnerable, especially if
other institutions fail to do so, but the extent to
which they meet this responsibility varies con-
siderably. In socially cohesive societies, govern-
ments as well as social institutions tend to play
a bigger role.
46
Social institutions support vul-
nerable people where social cohesion is strong.
In divided societies social institutions may be
very supportive within a particular group but
less so across groups. International support (of-
ficial and nonofficial) also helps, with finance
and resources generally in response to major
disasters, say, after tsunamis, hurricanes or wars.
National policies and international action
are interdependent. Global rules, norms and
collective action at times influence and may
determine the scope and efficacy of national re-
sponses to major crises. They may even produce
new vulnerabilities. Although an integrated
global system has brought many benefits—fuel-
ling investment, trade and economic growth—
it has also heightened vulnerability. Shocks in
one part of the world—financial, natural or
otherwise—can be readily transmitted to other
parts of the world. There is, as yet, no analogy at
the global level to the implicit social contracts
in many developed and some developing coun-
tries that commit states to protecting people’s
well-being, through social insurance and un-
employment benefits, when people’s economic
and social circumstances are hurt.
Not only individuals are vulnerable.
Communities, regions and countries can also
be vulnerable. Some countries suffer more and
have larger shocks (economic, environmental,
political) than others, and some countries
are more resilient than others—better able
to sustain their human development in the
face of such shocks. As with individuals, poor
countries are generally more vulnerable than
rich ones, suffer from larger shocks and are less
resilient. Compared with individuals in rich
countries, individuals in poor countries tend to
be more vulnerable, to have lower social com-
petences and to have governments with fewer
resources to protect them from adversity.
Governments may be aware of these issues,
but markets are blind to them. The operation
of markets may reduce vulnerability—by
increasing production, economic growth
and incomes—but they also clearly heighten
vulnerability, by neglecting public goods and
human insecurity in the quest for efficiency
and profit. Markets must thus be regulated and
supplemented if vulnerability is to be reduced.
Public goods can make markets function better
and deliver more sustainable outcomes, nation-
ally and globally. So governments and social
institutions have to regulate, monitor and com-
plement the market.
Prevention, promotion and protection
Policies and related measures can help in ad-
dressing the big issues that leave people and
communities vulnerable in three broad areas:
prevention, promotion and protection (figure
1.2). The interest here is in policies that help
across the three areas and make both individu-
als and societies more resilient. A commitment
to universal education may help in two or all
three areas by enhancing individual capabilities,
contributing to social cohesion and reducing
deprivations. In turn, expanding the space for
diverse voices to be heard—and reflected in
policies—enables individuals and societies to
address their particular concerns and promote
equal life chances, laying the base for secure and
sustained development.
Preventing shocks.
Policies to prevent conflict,
improve economic stability, reduce the impact
of environmental shocks and halt the spread of
disease can help reduce the incidence and size
of shocks. Such national actions as having stable
macro-policies, reducing disease through immu-
nizations and reducing the likelihood of floods
can help prevent shocks. By contrast, reducing
global volatility in capital flows or food prices and
preventing large increases in carbon dioxide emis-
sions require collective global action. Without it,
national polices may have limited value.
Prevention can anticipate future trends. Take
the rise in obesity. On current trends there
Public goods can
make markets function
better and deliver more
sustainable outcomes,
nationally and globally.
So governments and
social institutions have
to regulate, monitor and
complement the market
Chapter 1
Vulnerability and human development
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FIGURE 1.2
Policies for reducing vulnerability and building resilience
Preventing shocks
Promoting capabilities
Universal provision
of education and health
Full
employment
Promoting gender
and group equality
Responsive
institutions
Disaster
preparedness
Protecting choices
Social
protection
Job
creation
Building social cohesion
and competencies
Tackling discrimination
by changing laws and norms
Crisis and conflict
recovery
Policies for
reducing vulnerability
and building resilience
Financial
regulation
Climate change
agreement
Early childhood
development
Macroeconomic
policies
Natural disaster
risk reduction
Social cohesion
Source:
Human Development Report Office.
will be more than twice as many obese people
worldwide in 2030 as in 2008—1.12  billion
compared with 0.5 billion—greatly increasing
vulnerability to ill health.
47
Determined policy
is needed now to prevent these numbers from
rising sharply. Or take the life cycle approach
to capability formation. The right investments
at the right time, especially during the sensitive
periods of early childhood and adolescence,
can reduce future vulnerability. In most cases
prevention is also cost-effective.
Another broad concern in preventing adverse
shocks is high and rising inequality. If certain
thresholds are crossed, high inequality can
lead to alienation, social unrest and vulnera-
bility across large sections of the population.
48
High inequality can lead to erosion of social
competencies, and ‘tipping’ points’ may be
reached beyond which societal degeneration is
inevitable.
49
Promoting capabilities.
Better social and eco-
nomic policies can advance core capabilities,
which directly improve human resilience. So
can reducing societal or other barriers to the
ability of individuals and communities to act
in the face of adversities (through better norms
and laws and the protection of rights). The sec-
ond may require policies to reduce or overcome
26 | HUMAN DEVELOPMENT REPORT
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restrictions on opportunities and the exercise
of choices, say, by eliminating discrimination,
improving gender equality and giving rights
to immigrants (chapter 4). Of course, specific
policies to address different vulnerabilities will
always be important, but the greater interest
here is in foundational policies that reduce
vulnerabilities across society.
Protecting choices.
Policies may seek to prevent
shocks and make individuals and societies more
resilient. But adverse events—human-made
or otherwise—will still occur. Some people,
unable to cope with shocks, will need help.
Economic downturns and the pressures of
globalization, even if well managed, will still
create unemployment. The sudden death of the
main breadwinner makes even well endowed
households immediately vulnerable. Policy
responses may involve health insurance, social
protection and active labour and job creation
programmes. Being supported by the house-
hold or community also protects choices and
overall well-being.
Principles underlying policies
Drawing on ideas governing human develop-
ment and the promotion of equal life chances,
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we advance four guiding principles for design-
ing and implementing policies to reduce vul-
nerability and enhance resilience: embracing
universalism, putting people first, committing
to collective action and coordinating states and
social institutions. Taking into account that
a variety of approaches and perspectives are
needed to reduce vulnerability, depending on
the types of adverse events people face, these
principles can move development in a more
sustainable and resilient direction.
Embracing universalism.
All individuals are
equally valuable and entitled to protection and
support. So there has to be a greater recognition
that those most exposed to risks and threats,
children or people living with disabilities, may
require additional support to ensure that their
life chances are equal to others’. Universalism
may thus require unequal entitlements and at-
tention. Equal consideration for all could thus
demand unequal treatment in favour of the
disadvantaged.
50
The basic idea of human development is pro-
moting equal life chances for all, based on the
Kantian principle that all people are of equal
worth,
51
as enshrined in the UN Charter. All
humans need to be empowered to live lives
they value. Both economic and social policies
influence people’s life chances and capabili-
ties. Pursuing the broader goals of equity and
justice reinforces social competences and
deepens social cohesion. How far policies and
responsive systems of governance succeed in
advancing the prospects of most members of
society will determine whether social solidar-
ity is enhanced and fragmentation and stigma
can be avoided.
Putting people first.
Reducing vulnerabilities
calls for renewing the core message of human
development as ‘putting people first’—a mes-
sage promoted consistently in all
HDRs
since
the first in 1990. All public policies, especially
macroeconomic ones, must be seen as means to
an end, not as ends in themselves. Policymakers
must ask some basic questions. Is economic
growth improving the lives of people in areas
that really matter—from health, education and
income to basic human security and personal
freedoms? Are people feeling more vulnerable?
Are some people being left behind? And, if so,
who are they, and how can such vulnerabilities
and inequities be best addressed?
The notion of putting people first is not
just about people-centred policies. It is also
about policies that people influence, so all
members of society have full rights as citizens
and have a voice that is heard in developing
policies. Reducing vulnerability requires that
the voice of the disadvantaged be heard clear-
ly. Empowering all citizens is a powerful tool
for reducing risks. As Amartya Sen observed,
“Famines are easy to prevent if there is a serious
effort to do so, and a democratic government,
facing elections and criticisms from opposition
parties and independent newspapers, cannot
help but make such an effort. Not surprisingly,
while India continued to have famines under
British rule up to independence,  .  .  .[with a
democratic government after independence]
they disappeared.”
52
Putting people first has implications for
policies and measures: The two are inextricably
linked because “what we measure affects what
we do; and if our measurements are flawed,
decisions may be distorted.”
53
As all
HDRs
have argued, focusing narrowly on GDP and
its growth is misleading. Economic growth is
important, not for itself but for what it enables
a country and people to do with the resources
generated. Growth that does not generate suffi-
cient jobs—jobless growth—cannot be treated
on a par with growth that does.
54
Jobs are a
source of dignity and self-worth. Higher quali-
ty or decent jobs contribute to social cohesion
and political stability.
55
For example, austerity
in Europe is severely straining social structures,
with larger burdens borne by the young and the
old,
56
even after conceding the need to reduce
fiscal deficits.
The Human Development Index—a com-
posite measure of income, education and
health—was presented in 1990 as an alterna-
tive to GDP. Its widespread adoption reflects
countries’ desire to understand whether, how
and why people are doing better. Since its in-
troduction, human development measures of
inequality, gender and poverty have been added
to the arsenal.
All these measures assess achievement in
human development, but they do not incor-
porate measures of vulnerability. This requires
looking beyond achievements to hazards and
Equal consideration for
all could demand unequal
treatment in favour of
the disadvantaged
Chapter 1
Vulnerability and human development
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fluctuations, especially those affecting the more
deprived groups such as the poor and the near
poor (box 1.3). This Report does not propose
a new measure of human vulnerability. Policies
to reduce vulnerability require going beyond
BOX 1.3
Measuring vulnerability
The past 40 years have seen considerable work on measuring vulnerability.
Researchers have proposed measuring several types of vulnerability, many
covered in this Report. Some work has focused on specific vulnerabilities: to
natural disasters, to income poverty or to food price volatility. Others take
a broader systemic approach to assess the vulnerability of an economy or
environment to shocks. But little has been done to assess the vulnerability
and sustainability of human development achievements.
Much of the early work on vulnerability focused on natural disasters in
the 1970s. A landmark study showed that the incidence of natural disasters
and fatalities was increasing and that the burden of death fell disproportion-
ately on developing countries.
1
One of the authors developed the concept
of vulnerability as both external (exposure to risks) and internal (people’s
capacity to cope).
2
More recent frameworks, such as the
World Risk Report,
have added a third component, adaptation (capacities for long-term societal
change).
3
Whereas poverty can be directly observed, vulnerability cannot: it is es-
sentially a measure of what might happen in the future. Measuring vulner-
ability to poverty is generally aimed at the likely sources of vulnerability and
who is vulnerable. A study in Ethiopia, for example, examined the impact
and potential interactions of health, education and consumption among the
poor, finding that those with both chronic undernutrition and illiteracy are
more vulnerable to poverty and more like to stay longer in deep poverty.
4
The United Nations Development Programme’s Macroeconomic
Vulnerability Assessment Framework assesses a country’s capacity to cope
with a crisis in the short term and to identify policy areas that need to be
strengthened to build longer term resilience.
5
It considers the sources and
transmission channels of vulnerability as well as coping mechanisms.
The Economist Intelligence Unit’s Global Food Security Index, which
measures vulnerability to hunger, comprises measures of affordability, avail-
ability, quality and safety. Some 870 million people globally have no secure
source of food: That number is not changing rapidly, with an average of just
2.5 million people a year emerging from food insecurity.
6
The Institute for
Economics and Peace’s Global Peace Index assesses states’ vulnerability to
conflict and aggregates 22 indicators of violence or the absence of violence
in a society. A sibling measure, the Positive Peace Index, measures national
attitudes, institutions and structures to determine their capacity to create
and maintain a peaceful society.
7
Broader approaches include work that seeks to assess environmental
and economic vulnerability. The Secretariat of the Pacific Community, for
example, developed the Environmental Vulnerability Index, which comprises
three pillars: hazard (such as extreme climatic events), resistance (such as
land area) and damage (such as endangered species).
8
averages to gauge how secure the benefits
are and how well they are distributed and to
measure how poverty and deprivation are de-
clining, whether there are enough decent jobs
and whether social protections are adequate to
The United Nations uses economic vulnerability in defining the least
developed countries: low-income countries “suffering from structural
impediments to sustainable development . . . manifested in a low level
of human resource development and a high level of structural economic
vulnerability.” It uses a structural economic vulnerability index to reflect
the risk posed by shocks along with gross national income per capita and
a human assets index. The economic vulnerability index includes indica-
tors of shocks (natural and external), such as the instability of exports
and agricultural production and victims of natural disasters, alongside
measures of exposure to shocks, such as the share of population in low
coastal zones. It highlights the high vulnerability of the least developed
countries and small island developing states and shows that vulnerabil-
ity is decreasing more slowly in least developed countries than in other
developing countries.
9
Considering a society’s overall vulnerability to loss of human devel-
opment or well-being is more challenging still. Experimental work by the
Organisation for Economic Co-operation and Development defined vulnera-
bility to future loss of well-being when people lack “assets which are crucial
for resilience to risks.” It proposed a set of indicators to assess a society’s
vulnerability based on access to different types of capital: economic (pov-
erty), human (education) and social capital (support networks) as well as
collective assets, such as essential services.
10
These approaches, though different, have some ideas in common. First,
overall risk is defined by the interaction of the chance of something hap-
pening (exposure) and its likely impact if it does (vulnerability). Second, the
analysis and measurement of vulnerability are more tractable when looking
separately at exposure to risk and ability to cope or adapt. Third, vulnerabili-
ty is itself a multidimensional concept that can include measures of people’s
capacity both to cope (in terms of skills, assets or capabilities) and to adapt
over the longer term.
These approaches all take a narrower perspective on vulnerability than
is used in this Report and generally measure vulnerability to a particular
type of threat (economic shocks, hunger, natural disasters). So they may be
useful in providing partial measures of vulnerability, but they do not assess
the broad systemic vulnerability that is the focus of this Report. Nor do they
shed very much light on the ways the very systems themselves can generate
vulnerability.
There is clearly a lot more thinking to be done and much to be learned
from existing work. This Report does not propose new measures, preferring
instead to focus on embedding vulnerability firmly within the human devel-
opment approach, which might then pave the way for new measurement
work.
Notes
1. O’Keefe, Westgate Wisner 1976. 2. Wisner and others 2004. 3. Alliance Development Works 2012. 4. Kwak and Smith 2011. 5. UNDP 2011d. 6. See http://foodsecurityindex.eiu.com. 7. See http://economicsandpeace.org/
research/iep-indices-data/global-peace-index. 8. See www.sopac.org/index.php/environmental-vulnerability-index. 9. UNDESA 2013a. 10. Morrone and others 2011.
28 | HUMAN DEVELOPMENT REPORT
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help individuals and societies cope with adverse
events (chapter 2). Together, they provide a
checklist to judge whether public policies are
people-driven and whether broader human
development goals are being adequately met.
Committing to collective action.
Meeting today’s
challenges requires collective action (chapters 4
and 5). When people act collectively, they mar-
shal their individual capabilities and choices
to overcome threats, and their combined resil-
ience deepens development progress and makes
it more sustainable. The same can be said of
states acting collectively to reduce vulnerabili-
ties to transborder threats by provisioning glob-
al public goods. Despite the many uncertainties
that surround us, one thing seems clear: A pos-
itive vision of the public domain will depend in
large measure on the successful provisioning of
public goods, both national and global.
All this is feasible. Financial systems can be
better regulated. Trade talks can be unblocked,
as the recent World Trade Organization agree-
ment at Bali testifies.
57
Corporate conduct
around the world can be subject to common
codes and standards. Climate change can
be mitigated. But only if citizens and states
everywhere recognize the value of cross-border
collaboration and global public goods—and
accept that people’s well-being cannot be left
to the vagaries of the market or to national
responses alone.
A shared planet where individual decisions
have the ability to influence others and the
future of all humankind requires accepting and
promoting social norms that embody mutual
responsibility for each other. It also requires
global, national and local obligations to pre-
vent vulnerability and assist those who suffer
from adverse events. The historic Millennium
Declaration signed by 189 countries in 2000
and the Millennium Development Compact a
little later are probably the clearest expressions
of such global solidarity. Whether expressed
in global conversations among governments
on the sustainable development goals or in a
growing sense of ecological citizenship at the
Rio + 20 Global Conference in June 2012,
this solidarity needs to be further nurtured
and interpreted in the context of vulnerability,
as a collective responsibility to help others in
need.
58
Coordinating between states and social institu-
tions.
It is also time to look at broader architec-
tural questions and revisit the dynamic between
states and markets, and between countries and
global forces, to examine the scope of private and
public spaces. Today’s vulnerability is deep-seat-
ed and systemic. Global connections across
multiple fronts have melted large parts of the
formerly more separate national policy domains
into one large and still expanding global public
domain. Yet this domain has been dominated by
excessive belief in the value and adequacy of un-
fettered markets. Polanyi’s caution—about the
social destruction that unregulated markets can
cause—is as relevant today as when he wrote
The
Great Transformation
in 1944.
59
Required now
is his anticipated response of state intervention
to protect people and societies from the perils of
believing in self-regulating markets.
Individuals cannot flourish alone. Indeed,
they cannot function alone. When they are
born, family provides their life support. In turn,
families cannot function independent of their
societies. Policies to improve social norms, social
cohesion and social competences become impor-
tant so that governments and social institutions
can act in concert to reduce vulnerabilities. And
when markets and systems themselves produce
vulnerabilities, governments and social institu-
tions must guide markets to limit vulnerability
and help people where markets fail to do so.
Policies are only as good as their results. No
matter how elegant policies appear on paper,
they are effective only if they work in practice.
Many factors can affect a political economy, and
some, such as social cohesion or citizen trust
in government, are touched on in this Report.
Beyond these specific concerns, however, the
quality of governance is important for the ef-
fectiveness of policies. People everywhere want
government to work better—to deliver quality
services, to have less corruption and to increase
commitment to the rule of law. This Report does
not attempt to discuss such major ideas in depth
other than to highlight that they are extremely
important for human development outcomes.
*
*
*
When people act
collectively, they
marshal their individual
capabilities and choices
to overcome threats, and
their combined resilience
deepens development
progress and makes
it more sustainable
Over the last decades most countries have
made considerable progress in human devel-
opment. But rising or high vulnerability raises
Chapter 1
Vulnerability and human development
| 29
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the prospect of those human development
achievements being eroded, the need to consid-
er whether those achievements are secure and
sustainable and the need to identify policies
to reduce vulnerability and build resilience.
Chapter 2 documents how large numbers of
people are doing much better, particularly over
the last decade, in terms of different aspects
of well-being. It also points to the growing
evidence of recent slowdown in this progress
and the context  of growing uncertainty and
risks. When looking at progress, we emphasize
the need to look closely at whose well-being
is being assessed and to put people first in
policymaking. Expanding people’s choices
now and securing them for the future require
understanding the threats that people face and
the underlying factors that shape vulnerability.
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“Human beings the world over
need freedom and security
that they may be able to
realize their full potential.”
Aung San Suu Kyi
“Any fool can make things bigger,
more complex, and more violent.
It takes a touch of genius—and
a lot of courage—to move
in the opposite direction.”
Albert Einstein
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2.
State of human development
Almost all countries have improved human development over the past few decades, and billions of people are now doing
substantially better. The 2013
Human Development Report (HDR)
revealed that more than 40 developing countries—with
the majority of the world’s population—had greater HDI gains than would have been predicted given their situation in 1990.
1
Life expectancy at birth has increased due to lower infant and child mortality, fewer deaths due to HIV/AIDS and better
nutrition. Education levels have risen on stronger investments and political commitment. Multidimensional poverty has been
considerably reduced, though wide variation across countries and regions remains.
We cannot take these achievements for granted,
however. There is evidence that the overall rate of
progress is slowing—and this is worrying. We also
have to ask a basic question: Whose prosperity are
we observing? We need to look beyond averages
and income thresholds to gather a more compre-
hensive view of how improvements in well-being
are distributed among individuals, communities
and countries. We also need to assess whether the
gains are secure and the progress is sustainable.
In short, we need a deeper understanding of the
dynamics of vulnerability and inequality.
The recent gains have not followed a smooth
path. From greater financial instability to high
and volatile commodity prices, from recurrent
natural disasters to widespread social and political
discontent, uncertainty is an increasingly com-
mon feature of our world. And interdependence
among countries has widened and deepened.
Decisions and events in one part of the world
trigger shocks elsewhere, especially as markets in-
tegrate and people communicate instantaneously.
The international transmission of shocks—such
as food price hikes, financial crises, natural dis-
asters and armed conflicts—creates a sense of
precariousness, even helplessness. Countries and
individuals are not firmly in charge of their own
destinies and thus are vulnerable to decisions or
events elsewhere. That is why it is so vital to re-
duce the vulnerability to systemic and persistent
threats that can endanger present and future
human development. Sustaining and accelerating
human development will clearly require greater
domestic and international policy ambition.
to broaden people’s present choices—to live
healthy, productive and safe lives—but also
ensuring that these choices do not compromise
or restrict those available to future generations.
The focus on people has implications for
measuring progress and formulating policies.
It calls for a broader frame of analysis and a
re-examination of the policy tools available.
Measurement and policy are inextricably linked
since “what we measure affects what we do; and
if our measurements are flawed, decisions may
be distorted”.
2
Uneven and slowing progress
in human development
Since 1990 the Human Development Index
(HDI) has been an important measure of
progress—a composite index of life expectan-
cy, years of schooling and income. This year’s
Report presents HDI values for 187 countries.
The global HDI is now 0.702, and most de-
veloping countries are continuing to advance,
though the pace of progress remains highly
uneven (table 2.1).
The lowest regional HDI values are for
Sub-Saharan Africa (0.502) and South Asia
(0.588), and the highest is for Latin America
and the Caribbean (0.740), followed closely
by Europe and Central Asia (0.738). The very
high human development group—as measured
by the HDI—has a value of 0.890, consider-
ably higher than that of the medium and low
human development groups. But lower human
development groups continue to converge with
the higher levels.
3
While all regions are registering improve-
ment, signs of a slowdown are emerging—as
measured by the growth rate of HDI values
(figure 2.1).
4
Although four of the six regions
Chapter 2
State of human development
| 33
Progress of people
Human development is about equal life chances
for all. It involves not only expanding capabilities
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TABLE 2.1
Human Development Index and components, 2010 and 2013
Life
expectancy
at birth
(years)
2010
79.7
73.9
67.1
58.2
69.7
73.5
70.7
74.2
66.4
55.2
70.3
2013
80.2
74.5
67.9
59.4
70.2
74.0
71.3
74.9
67.2
56.8
70.8
Gross national
income
per capita
(2011 PPP $)
2010
38,548
11,584
5,368
2,631
15,281
8,628
11,280
12,926
4,732
2,935
12,808
2013
40,046
13,231
5,960
2,904
15,817
10,499
12,415
13,767
5,195
3,152
13,723
Human development
group or region
Very high human development
High human development
Medium human development
Low human development
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
World
Human
Development
Index value
2010
0.885
0.723
0.601
0.479
0.675
0.688
0.726
0.734
0.573
0.468
0.693
2013
0.890
0.735
0.614
0.493
0.682
0.703
0.738
0.740
0.588
0.502
0.702
Mean years
of schooling
(years)
2010
11.7
8.1
5.5
4.1
6.2
7.4
9.6
7.9
4.7
4.8
7.7
2013
11.7
8.1
5.5
4.2
6.3
7.4
9.7
7.9
4.7
4.8
7.7
Expected years
of schooling
(years)
2010
16.2
13.1
11.3
8.7
11.7
12.3
13.3
13.8
10.6
9.4
11.9
2013
16.3
13.4
11.7
9.0
11.8
12.5
13.6
13.7
11.2
9.7
12.2
PPP is purchasing power parity.
Source:
Human Development Report Office calculations.
FIGURE 2.1
While all regions are registering improvement on the Human Development Index, signs of a slowdown are emerging
Average annual
2.0
growth in Human
Development
Index value
(%)
1.5
1990–2000
2000–2008
2008–2013
1.0
0.5
0.0
Arab States
East Asia
and the Pacific
Europe
and Central Asia
Latin America
and the
Caribbean
South Asia
Sub-Saharan
Africa
Note:
Population-weighted panel for 99 developing countries.
Source:
Human Development Report Office calculations.
34 | HUMAN DEVELOPMENT REPORT
2014
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1438643_0047.png
registered faster gains in 2000–2008 than in
the 1990s, progress in all regions slowed in
2008–2013. This was particularly noticeable
in the Arab States and in Latin America and
the Caribbean—where average annual growth
dropped by about half—as well as in Asia. The
global financial and economic crisis appears to
have had a widespread impact.
The deceleration is evident in all three
components of the HDI. Growth in gross na-
tional income (GNI) per capita has declined,
particularly in the Arab States and in Europe
and Central Asia. Growth rates of life expec-
tancy at birth have recently declined in most
regions—especially in Asia—though they in-
creased in Sub-Saharan Africa. And since 2008
the growth of expected years of schooling has
also declined.
All four human development groups have ex-
perienced a slowdown in HDI growth (figure
2.2). In fact, the very high human development
FIGURE 2.2
group had been progressing more slowly
even before the global crisis. The low human
development group, by contrast, accelerated
in 2000–2008, but progress subsequently de-
clined, due largely to a decline in the growth
of years of schooling. Despite achievement
in primary education—with gross enrolment
ratios averaging 100 percent—it may be harder
to move more pupils to the secondary level and
beyond. In this group of countries 43 percent
of children enrolled in primary education do
not complete it, while gross enrolment ratios in
secondary education average only 39 percent.
The implication: The transition from primary
to secondary and higher education is unaccept-
ably low. Stronger investments are needed to
prevent future vulnerabilities.
Movements between human development
groups can be tracked for 141 countries (figure
2.3).
5
Of the 47 countries in the low human
development group in 1990, 16 are now in
All four human development groups have experienced a slowdown in growth on the Human Development Index
Average annual
2.0
growth in Human
Development
Index value
(%)
1.5
1990–2000
2000–2008
2008–2013
1.0
0.5
0.0
Very high
human development
High
human development
Medium
human development
Low
human development
Note:
Population-weighted panel for 141 developed and developing countries.
Source:
Human Development Report Office calculations.
Chapter 2
State of human development
| 35
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FIGURE 2.3
Progress to higher human development groups since 1990
Number
of countries
12
Very high
human development
47
Very high
human development
37
High
human development
35
High
human development
45
Medium
human development
29
Medium
human development
47
Low
human development
1990
Note:
Human development groups are defined using 2013 cutoff values. Data are for 141 developed and developing countries.
Source:
Human Development Report Office calculations.
30
Low
human development
2013
the medium group and 1 is in the high group
(China), and of the 45 countries in the medi-
um human development group in 1990, 29 are
now in the high human development group
and 3 (Argentina, Croatia and Saudi Arabia)
are in the very high human development group.
Impressively, 32 countries that were in the high
human development group in 1990 (nearly
90 percent of them) are now in the very high
human development group.
Some countries perform far better in hu-
man development than in income alone—as
seen in the large differences in GNI per capita
and HDI rankings (table 2.2). High positive
differences in rank are mainly in East Asia
and the Pacific and in Europe and Central
Asia, while negative differences predominate
in the Arab States and Sub-Saharan Africa.
Countries with positive differences tend to
have a higher HDI value, and the majority
have moved to a higher human development
group. They also have lower inequality and
a lower proportion of poor and near poor
people. Generally, they started with fairly
36 | HUMAN DEVELOPMENT REPORT
2014
low inequality and reduced it further, partly
through strong investments in people’s health
and education as well as through spending on
social protection.
Better access to health services has reduced
maternal and child mortality and, more gen-
erally, improved quality of life. Increasing
literacy rates and skills development has been
crucial to boosting people’s capabilities as well
as their employability and productivity. Social
protection measures, such as cash transfer pro-
grammes and other forms of income support,
have been protecting the most vulnerable from
shocks. All these aspects are fundamental to
advancing human development.
6
Continuing inequality in
human development
One of the main drags on development is deep
and chronic inequality, which restricts choices
and erodes the social fabric. Large disparities
in income, wealth, education, health and other
dimensions of human development persist
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across the world, heightening the vulnerabil-
ity of marginalized groups and undermining
their ability to recover from shocks. People
clustered at the bottom of the socioeconomic
distribution are not there randomly. They lack
a sufficient range of capabilities to enable them
to live a fulfilling life, and they typically are the
most vulnerable to health risks, environmental
calamities and economic shocks.
The 2010
Human Development Report
intro-
duced the Inequality-adjusted HDI, a measure
of inequality that takes into account how each
country’s progress is distributed in the three
HDI dimensions—life expectancy, years of
schooling and income.
7
It goes beyond tradi-
tional income-based measures of inequality to
consider disparities in education and health.
Reported here is the loss in HDI value due
to inequality, which measures the difference
between HDI and the Inequality-adjusted
HDI in percentage terms. Based on data for
94 developing countries, the average loss due
to inequality has declined in most regions—
except East Asia and the Pacific (figure 2.4).
The highest loss is in Sub- Saharan Africa
(34 percent), followed by South Asia (29 per-
cent), the Arab States (26 percent) and Latin
America and the Caribbean (25  percent).
The lowest loss is in Europe and Central Asia
(13 percent).
Among the HDI components, the average
inequality was 19  percent for health (down
from 23  percent in 2010), 27  percent for
education (about the same as in 2010) and
23 percent for income (up from 21 percent in
2010). For health the highest inequality was
in Sub-Saharan Africa (37 percent), followed
by South Asia (25 percent). However, both re-
gions have made substantial progress, possibly
due to vaccination campaigns and better nutri-
tion that greatly reduced under-five mortality.
For education the highest levels of inequality
were in South Asia (42  percent), the Arab
States (41  percent) and Sub-Saharan Africa
(37 percent). There has been limited progress
in reducing disparities in education, except in
Europe and Central Asia.
8
For income the greatest inequality is in Latin
America and the Caribbean (36  percent),
followed by Sub-Saharan Africa (28 percent).
Income inequality declined in Latin America
and the Caribbean, although it seems to have
TABLE 2.2
Highest positive differences between gross national income per capita rank and
Human Development Index rank, by human development group, 2013
Gross national
income per
capita rank
Very high human development
New Zealand
Australia
Korea, Republic of
Ireland
Poland
High human development
Georgia
Sri Lanka
Tonga
Fiji
Ukraine
Medium human development
Samoa
Tajikistan
Palestine, State of
Vanuatu
Kiribati
a
Low human development
Rwanda
Madagascar
Zimbabwe
Solomon Islands
Nepal
b
171
174
175
172
158
151
155
156
157
145
20
19
19
15
13
134
157
129
153
154
106
133
107
131
133
28
24
22
22
21
116
103
127
114
109
79
73
100
88
83
37
30
27
26
26
30
20
33
28
51
7
2
15
11
35
23
18
18
17
16
Human
Development
Index rank
Difference
a. Kyrgyzstan is also a medium human development country with a rank difference of 21.
b. Kenya and Togo are also low human development countries with a rank difference of 13.
Source:
Human Development Report Office calculations (based on table 1 in
Statistical annex).
increased in South Asia and Sub- Saharan
Africa. Overall, the declining inequality in
HDI has been driven mainly by health, since
inequality in income appears to have risen in
several regions and inequality in education has
remained broadly constant.
The 2013
HDR
found a negative relation-
ship between inequality and human develop-
ment.
9
Inequality reduces the pace of human
development and can even bring it to a halt.
Although overall inequality in HDI has re-
cently declined, it is not sufficient to offset
Chapter 2
State of human development
| 37
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FIGURE 2.4
The average loss in the Human Development Index due to inequality has declined in most regions
2010
HDR
2014
HDR
Arab States
East Asia
and the Pacific
Europe
and Central Asia
Latin America
and the Caribbean
South Asia
Sub-Saharan Africa
0
10
20
30
40
50
Arab States
East Asia
and the Pacific
Europe
and Central Asia
Latin America
and the Caribbean
South Asia
Sub-Saharan Africa
0
10
20
30
40
50
Loss due to inequality (%)
Inequality in education (%)
Arab States
East Asia
and the Pacific
Europe
and Central Asia
Latin America
and the Caribbean
South Asia
Sub-Saharan Africa
0
10
20
30
40
50
Arab States
East Asia
and the Pacific
Europe
and Central Asia
Latin America
and the Caribbean
South Asia
Sub-Saharan Africa
0
10
20
30
40
50
Inequality in health (%)
Inequality in income (%)
Note:
The 2010
HDR
reflects inequality in 2000–10, and the 2014
HDR
reflects inequality in 2003–13. Population-weighted panel for 94 developing countries.
Source:
Human Development Report Office calculations.
TABLE 2.3
Countries with rising or falling income inequality by region, 1990–2012
Rising
inequality
13
18
4
30
65
50.0
70.6
Falling
inequality
19
10
14
8
51
39.2
25.3
No
trend
a
3
3
2
6
14
10.8
4.1
Region
Africa
Asia
Latin America and the Caribbean
Europe, North America, Oceania and Japan
Total
Percentage of countries
Percentage of total population
Total
35
31
20
44
130
100.0
100.0
a. Inequality remained relatively constant or fluctuated without a clear upward or downward trend during the period.
Source:
UNDESA 2013b.
growing income disparities with progress in
health and education. To tackle vulnerability
and sustain recent achievements, it is crucial to
reduce inequality in all dimensions of human
development.
Although income disparities among coun-
tries have been declining over the past 20 years
as emerging economies have narrowed the gap
with developed countries, inequality within
many countries has increased worldwide (table
2.3).
10
This is particularly noticeable in the most
developed regions, such as Eastern Europe, and
in Asia. Where inequality declined, notably in
Latin America and the Caribbean, it has been
due mainly to the expansion of education and
public transfers to the poor.
11
These two trends—declining income ine-
quality among countries and rising inequality
38 | HUMAN DEVELOPMENT REPORT
2014
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within countries—virtually cancel each other
out, suggesting that global income inequality
(among the world’s citizens) remains stub-
bornly high.
12
The poorest two-thirds of the
world’s people are estimated to receive less than
13 percent of world income, while the richest
1 percent amass nearly 15 percent.
13
Beyond income, about half the world’s
wealth is owned by the richest 1 percent of the
population, with the richest 85 people collec-
tively holding the same wealth as the poorest
half of the world’s population.
14
Globalization,
technological progress, deregulation of labour
markets and misguided macroeconomic poli-
cies are likely to create and sustain these large
gaps in income and wealth.
Tackling inequality is important to re-
duce vulnerability and sustain progress.
Rising income inequality in developed and
developing countries has been associated
with higher economic volatility and slower
progress in human development.
15
High and
persistent inequality also makes it harder
to reduce poverty. Evidence suggests that a
1 percent increase in national income reduc-
es income poverty 4.3  percent in the most
equal societies but just 0.6  percent in the
least equal.
16
Inequality matters not only for
those at the poorest end of the distribution,
but for society as a whole—as it threatens
social cohesion and hampers social mobility,
fuelling social tensions that can lead to civil
unrest and political instability. Large income
disparities can even undermine democratic
values, if wealthy individuals influence polit-
ical agendas (say, by securing tax breaks for
top income earners and cutbacks in social
services) or try to shape social perceptions
(through the media).
In the 1980s mean household income grew
3.2  percent a year, but adjusting growth
with the Gini coefficient reduced it to only
2.1 percent.
17
This is similar to the adjusted
growth of 2 percent in the 1990s, a lacklustre
decade. Over 1961–2010 the adjustment
reduces the average annual growth in mean
household income from 1.9 percent to about
1.5 percent.
Another way to evaluate progress is to
track the growth in consumption for the
poorest 40  percent of the population. By
this measure, some countries have done well.
In Bolivia, Brazil and Cambodia consump-
tion growth for the poorest 40  percent has
been faster than that for the population as
a whole (figure 2.6). But in countries where
inequality has been high or rising—as in
China, Malaysia and Uganda—growth in
consumption for those at the poorest end of
the distribution has been slower than for the
population as a whole.
Inequality matters not only
for those at the poorest
end of the distribution, but
for society as a whole—as
it threatens social
cohesion and hampers
social mobility, fuelling
social tensions that can
lead to civil unrest and
political instability
Gender inequality
Women experience many kinds of disadvantage
and discrimination in health, education and
employment. To highlight these disparities,
this Report presents HDI values separately for
women and men for 148 countries. Worldwide
the female HDI value averages about 8  per-
cent lower than the male HDI value. Among
regions, the largest gap is in South Asia (17 per-
cent). The gap is small (3 percent) in the very
high human development group but about
17  percent in the low human development
group. Slovakia has achieved gender parity,
while female HDI values are slightly higher
than male values in 15 countries (see table 3 in
Statistical annex).
The Gender Inequality Index for 149
countries reveals the extent to which national
achievements in reproductive health, empow-
erment and labour market participation are
eroded by gender inequality. Unlike the HDI,
a higher Gender Inequality Index value indi-
cates poor performance. Values range from an
average of 0.317 for Europe and Central Asia
to 0.575 for Sub-Saharan Africa and from an
average of 0.197 for the very high human de-
velopment group to 0.586 for the low human
development group. Slovenia outperforms all
Chapter 2
State of human development
| 39
Revisiting economic progress
A country’s economic status and performance
can look much less impressive when adjusted
for income distribution. GNI per capita is
higher in the United States than in Canada,
but the reverse is true for inequality-adjusted
GNI per capita. Botswana, Brazil and Chile
also have large adjustments to GNI per capita
due to high inequality (figure 2.5).
The United Kingdom’s performance is also
less impressive after adjusting for inequality.
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FIGURE 2.5
A country’s economic status and performance can look much less impressive when adjusted for income
distribution
Inequality-adjusted GNI per capita
GNI per capita
Paraguay
Ukraine
Thailand
Brazil
Botswana
Uruguay
Turkey
Chile
Portugal
Canada
United States
0
10,000
20,000
30,000
40,000
50,000
60,000
US dollars
Note:
The inequality-adjusted GNI per capita uses the Atkinson index. Data are for 2013.
Source:
Human Development Report Office calculations.
other countries (0.021), while Yemen has the
highest value (0.733).
Globally, women are disadvantaged in na-
tional political representation. On average,
they occupy 21 percent of seats in national par-
liaments. In Latin America and the Caribbean
they do better, with around 25 percent of seats.
In Arab States parliaments they hold less than
14 percent of seats.
Poor reproductive health services are a major
contributor to gender inequality, especially in
developing countries. For example, the maternal
mortality ratio is 474 deaths per 100,000 live
births in Sub-Saharan Africa. Maternal deaths
naturally have serious implications for babies
and their older siblings left without maternal
care, who could be trapped in low human devel-
opment throughout their life cycle. Adolescent
births could also lead to debilitating human
development outcomes for young mothers and
their babies. In Sub-Saharan Africa there are
110 births per 1,000 women ages 15–19.
40 | HUMAN DEVELOPMENT REPORT
2014
The deficits in education are wide as well.
On average, 60 percent of women ages 25 and
older have at least some secondary education,
compared with 67  percent of men. This dis-
crepancy is particularly large for the low human
development group (15 percent versus 29 per-
cent). And South Asia has the largest gender
gap in education (15 percentage points). The
very high human development group has near
gender parity at this level (about 86  percent
versus 88 percent).
Women also lag behind men in labour mar-
ket participation (51 percent compared with
77 percent). The situation is less promising for
women in the Arab States, where 25 percent
of women of working age participate in the
labour market, compared with 73 percent of
men. Labour force participation rates tend
to be higher among women in Sub- Saharan
Africa because women are more often than
not forced to eke a living in the informal
sector.
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FIGURE 2.6
In countries where inequality has been high or rising, growth in consumption for the poorest 40 percent of the population has been slower
than for the population as a whole
Growth in consumption
for the poorest 40
percent, 2005–2010
12
(%)
Growth in consumption is positive
and faster for the poorest 40%
than for the population as a whole
Malaysia
8
Cambodia
Brazil
Bolivia
Uganda
China
4
Philippines
Egypt
0
-4
-4
0
4
8
Growth in consumption
is positive but slower for the poorest 40%
than for the population as a whole
12
Growth in consumption for the population as a whole, 2005–2010 (%)
Source:
Narayan, Saavedra-Chanduvi and Tiwari 2013.
Poverty
Typical measures of poverty are based on
income or consumption, which register im-
portant dimensions of deprivation but provide
only a partial picture. People can be deprived
of many things beyond income. They may
have poor health and nutrition, low education
and skills, inadequate livelihoods and poor
household conditions, and they may be socially
excluded.
Some of these broader aspects of poverty are
captured in the concept of multidimensional
poverty. In 104 developing countries 1.2  bil-
lion people had an income of $1.25 or less
a day.
18
But the multidimensional poverty
headcount for 91 developing countries was an
estimated 1.5 billion people—as measured by
the Multidimensional Poverty Index (MPI).
19
According to the MPI, which was introduced
in the 2010
HDR
to measure deprivations in
the three HDI dimensions—health, education
and living standards—2.2 billion people live in
multidimensional poverty or near-poverty (out
of 10). The MPI measures not only the propor-
tion of people deprived but also the intensity of
deprivation for each poor household, providing
a more comprehensive picture (see chapter 3).
The proportion of multidimensionally poor
people is usually higher than the proportion
living on less than $1.25 a day. In Cambodia
47  percent of the population were in multi-
dimensional poverty in 2010, but only 19 per-
cent lived on less than $1.25 a day. But in
Brazil and Indonesia income poverty is higher.
Moreover, while in many countries both multi-
dimensional poverty and income poverty have
decreased, the rate of progress varies widely
Chapter 2
State of human development
| 41
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BOX 2.1
Looking at disposable income
Material living standards can be better monitored, particularly during eco-
nomic downturns, through measures of household income and consump-
tion rather than GDP (see figure). For example, while GDP fell sharply (by
5.7 percent) in the euro area in 2008 and 2009, household disposable income
stayed at precrisis levels. This can be attributed at least partly to automatic
social protection stabilizers and discretionary measures that protected
household income in the first few years of the crisis. Equally, household
disposable income rose less quickly than GDP in the precrisis period up to
2007. So moving away from standard income measures can change the per-
spective on economic and social progress. But disposable income also has
disadvantages, because it assumes that tax regimes and social benefits are
comparable across countries.
While GDP fell sharply in the euro area in 2008 and 2009, household disposable income stayed at precrisis levels
Index:
125
1999 Q1 = 100
120
GDP
Household disposable income
115
110
105
100
2000
2002
2004
2006
2008
2010
2012
Note:
Household disposable income is measured in real terms using the deflator for the seasonally adjusted household final consumption expenditure. GDP is measured in real terms using the GDP deflator.
Source:
Atkinson 2013.
(figure 2.7). The multidimensional poverty
headcount declined faster than income poverty
in Indonesia, while the opposite was true in
Peru.
Vulnerable employment
and stagnant wages
Economic growth that does not generate suf-
ficient decent employment is unlikely to foster
human development. The 1993
HDR
called
attention to jobless growth, where output in-
creases but employment lags far behind.
20
The
issue seems to have resurfaced. Unemployment
42 | HUMAN DEVELOPMENT REPORT
2014
rose considerably after the 2008 crisis. An anal-
ysis of 65 countries showed that in more than
two-thirds of them the employment rate had
not returned to the precrisis level by the end
of 2012. In some, such as Ireland and Spain,
the long-term unemployment rate rose at
least 20 percentage points over 2007–2012.
21
Globally, about 200  million people are now
unemployed.
Despite strong productivity growth, real
wages have been fairly stagnant. Between 2000
and 2011 real wages increased only 5 percent in
developed economies and 15 percent in Latin
America and the Caribbean, and they declined
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in the Middle East. In Asia, however, they grew
a remarkable 94  percent. As a consequence,
labour’s share of GNI has declined in many
parts of the world. For 16 developed countries
with data, labour’s average share fell from about
75 percent of GNI in the mid-1970s to about
65  percent in the years preceding the global
economic and financial crisis.
22
Decent and well paid jobs are essential to
improve living standards. Even with recent im-
provements, the share of workers in vulnerable
employment remains very high in Sub-Saharan
Africa and South Asia—at about 77  percent
of total employment (table 2.4). Nearly half
the world’s working population continues to
be in vulnerable employment, trapped in inse-
cure and low-paid jobs. High working poverty
rates suggest that income from labour remains
below what is required to secure decent living
standards. Progress may have been impressive
in several regions, but 40 percent of workers in
Sub-Saharan Africa and 24 percent of workers
in South Asia still live in households earning
less than $1.25 a day per person.
Employment has also become more pre-
carious in several developed countries, with
many more workers on temporary and part-
time contracts. And stagnant real wages have
TABLE 2.4
FIGURE 2.7
While in many countries both multidimensional and income poverty decreased over
2005–2012, the rate of progress varies widely
Multidimensional poverty headcount (MPI)
Income poverty headcount ($1.25 a day)
Brazil
Cambodia
Indonesia
Mexico
Niger
Peru
0
10
20
30
40
50
Reduction in poverty (%)
Source:
Human Development Report Office calculations.
hindered improvements in living standards.
In most developing countries vulnerable
employment continues to be the norm. Wage
employment in the formal sector is available
Vulnerable employment and working poverty, 2010 and 2012
Vulnerable employment
a
(% of total employment)
2010
World
Developed economies and European Union
Other Europe
c
and Commonwealth of Independent States
East Asia
South-East Asia and the Pacific
South Asia
Latin America and the Caribbean
Middle East
North Africa
Sub-Saharan Africa
53.1
11.2
23.8
58.4
65.2
81.3
35.8
33.5
42.1
81.8
2012
49.2
10.1
19.7
48.9
61.1
76.9
31.5
27.0
41.4
77.2
Working poor
b
(% of total employment)
2010
26.6
..
5.0
31.2
33.7
43.9
7.8
1.4
9.5
56.7
2012
12.3
..
1.7
5.6
11.7
24.4
3.5
1.8
6.4
40.1
a. Sum of own-account workers and contributing family workers.
b. Employed people living in a household that earns less than $1.25 a day per person.
c. Refers to non-EU countries in Central and South-Eastern Europe.
Source:
ILO 2013d.
Chapter 2
State of human development
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to only a few, while the majority of the pop-
ulation engages in unpaid or own-account
work—such as subsistence farming and street
trade—which is often associated with greater
vulnerability to shocks (chapters 3 and 4).
Poor employment outcomes generate adverse
economic effects, but they can also lead to a
loss of acquired capabilities (such as skills and
health status), restrict choices and freedoms,
affect the psychological well-being of individ-
uals and fuel social discontent.
A people-centred policy framework needs to
be aligned with macroeconomic and structural
policies, labour market interventions and social
protection. These policies should be geared to-
wards stimulating inclusive economic growth,
creating decent and productive employment
and providing basic social services and social
protection—while paying particular attention
to equity and sustainability. The complex prob-
lems facing modern societies require a fresh
look at the types of policies that can create
synergies to foster and sustain human develop-
ment (box 2.2).
BOX 2.2
Macroeconomics and austerity
In the years preceding the global financial crisis, the public finances of most
developed countries were in fairly good shape. Government deficits were
falling, and debt was either stable or declining. Then the economic reces-
sion triggered automatic stabilizers, such as unemployment benefits, and
required fiscal stimulus packages that contributed to higher public spend-
ing. Some governments took responsibility for huge private sector debts,
especially from troubled banks. Tax revenues dwindled in the slowdown.
The combined trends of rising debt and falling GDP sharply increased fiscal
deficits and public debt−to-GDP ratios.
Despite early signs of an economic recovery, thanks in part to counter-
cyclical fiscal policies, many governments—especially those in Europe—
quickly shifted their policy focus to austerity measures. Austerity programmes
have, among other things, contributed to a drastic drop in public investment
in Europe. Between 2008 and 2012 public gross fixed capital formation fell
65 percent in Ireland, 60 percent in Greece and Spain, 40 percent in Portugal
and 24 percent in Italy. Overall, public investment in the euro area (17 coun-
tries) declined from €251 billion in 2009 to €201 billion in 2012—a 20 percent
nominal decline. This, after a steady declining trend in investment as a share
of GDP since the 1970s. Budget cuts are also affecting the delivery of pub-
lic services. Between 2009 and 2011 health spending declined in a third of
Organisation for Economic Co-operation and Development (OECD) countries—
including Greece, Ireland, Portugal and the United Kingdom. The outcomes?
Lower spending on prevention programmes, reductions in the supply of health
Securing and sustaining
human development
Over the years there has been much debate
about what sustainability means and about
what measures can track sustainable progress—
or the lack of it. In 2012 the United Nations
Conference on Sustainable Development in
Rio took a broad view that sustainable progress
must cover all three dimensions that affect
people’s life chances—social, economic and
environmental.
Protecting the environment can be viewed
as a good in itself, but Amartya Sen and oth-
ers have argued that a more fruitful approach
is to focus on the sustainability of people and
their choices.
23
Human beings have always
depended on the bounty and resilience of the
natural world. But it is clear that the future is
precarious, thus increasing people’s vulnerabil-
ities. Environmental degradation and climate
change threaten the long-term survival of
humanity. The challenge of sustaining progress
is thus about ensuring that present choices and
services, increases in direct out-of-pocket payments and wage cuts in hospi-
tals. The crisis also inverted the long-term trend of rising investment in educa-
tion. In 2011–2012, 15 OECD countries cut their education budgets.
This disproportionate focus on public spending and debt diverts atten-
tion from a deeper and more fundamental question: how to achieve inclu-
sive and sustainable long-term growth? Austerity creates a vicious cycle.
Cuts to growth-enhancing public expenditures—such as capital investment
and social spending—weaken the tax base and increase the need for social
assistance, aggravate fiscal deficits and debt and lead to further austerity
measures. The cuts also undermine future human development and risk re-
versing hard-won gains. And they are likely to amplify inequality, which in
itself is an obstacle to sustained growth and increases the risk of economic
and financial crises.
Macroeconomic policy matters for human development. It influences
the quantity and quality of employment, the level of social protection and
the provision of public services. There is growing evidence that current
macroeconomic policies—especially in developed countries—encourage
volatility in output and exchange rates, increase inequality and thus under-
mine human development. This is due largely to an excessive focus on price
stability and the poor timing of austerity policies that exacerbate problems
of public and private debt and do little to lay the basis for economic recovery.
It is time to reassess the rationale for austerity measures and refocus policy
efforts on boosting investments for sustained long-term growth.
Source:
EC 2013a,b; Berg and Ostry 2011a; Kumhof and Rancière 2010; Karanikolos and others 2013; Nayyar 2012; OECD 2013c,e; Välilä and Mehrotra 2005.
44 | HUMAN DEVELOPMENT REPORT
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capabilities do not compromise the choices
and freedoms available to future generations.
24
While sustainability can be tracked through
adjusted net savings and ecological footprints,
these measures do not adequately reflect the
dynamic nature of the choices available to
people. An important aspect of this framing is
that, in addition to requiring greater attention
to the tensions that exist between present and
future choices, it also highlights the need to
protect human development gains from nega-
tive shocks and adverse events.
The 2011 and 2013
HDRs
argued that
environmental disasters could not only slow
human development but even throw it into
reverse. Climate change could become the sin-
gle biggest hindrance to the ambitions of the
sustainable development goals and the post-
2015 development agendas.
25
Environmental
threats highlight potential tradeoffs between
the well-being of current and future genera-
tions. If current consumption surpasses the
limits imposed by our planetary boundaries,
the choices of future and current generations
will be seriously compromised.
26
Whether a country or a community is on a
sustainable development path depends on its
position relative to local and global thresh-
olds. A local threshold relates to the resources
available within the boundaries of a country,
while a global threshold takes a broader per-
spective by considering planetary boundaries.
For instance, a country’s consumption of a
natural resource might be well within its local
threshold—due to resource abundance within
its borders—but its per capita consumption
might exceed the global threshold. Crossing
these thresholds can have damaging conse-
quences within and across borders, so it is im-
portant to explore how to balance these local
and global boundaries.
The universalist principle provides a good
starting point for combining equity in the use
of environmental and other resources within
and across generations. Science provides an idea
of the global thresholds for specific resources,
while social justice requires that everyone have
an equal claim to the resource available for use
by the current generation. This enables us to
identify countries on unsustainable develop-
ment pathways, particularly on certain environ-
mental indicators.
Although the environment is a key dimen-
sion affecting the choices of current and future
generations, it is not the only one. Economic,
social and political factors also expand or
restrict choices. Nonetheless, fairly well es-
tablished thresholds of global environmental
sustainability enable more formal assessments.
Many countries, especially those in the high
human development groups, now follow unsus-
tainable development paths.
27
Of 140 countries
with data, 82 have ecological footprints above
global carrying capacity. As a result, the world
per capita footprint is substantially higher than
the global sustainability threshold. Carbon di-
oxide emissions by 90 of 185 countries exceed
the global threshold, and their emissions are
large enough to push global per capita emis-
sions above global sustainability. Fresh water
withdrawals by 49 of 172 countries with data
also exceed the global threshold. Overall, corre-
lation is positive between higher HDI achieve-
ments and unsustainable ecological footprints
and emissions, while water consumption is
unsustainable across developing and developed
countries.
28
The world’s ecological footprint of consump-
tion is currently larger than its total biocapaci-
ty, that is, the biosphere’s ability to meet human
demand for material consumption and waste
disposal (figure 2.8). The very high human de-
velopment group, in particular, has a very large
ecological deficit—as its ecological footprint is
significantly larger than available biocapacity.
While human development requires the
expansion of choices currently available to
people, it is also important to consider the im-
pact on the choices of future generations—for
intergenerational equity. Human develop-
ment should not come at the cost of future
generations. To secure and sustain human
development and avert dramatic local and
global repercussions, bold and urgent action on
environmental sustainability is crucial.
Global threats to human
development
Economic, social and environmental shocks
have a major impact on people’s lives and are
a key challenge to sustaining and advancing
human development. Unpredictable changes in
Economic, social and
environmental shocks
have a major impact
on people’s lives and
are a key challenge to
sustaining and advancing
human development
Chapter 2
State of human development
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FIGURE 2.8
The world’s ecological footprint of consumption is currently larger than its total
biocapacity
Financial instability
Over the past few decades the world has suf-
fered deeper and more frequent financial crises
that have spread rapidly to other economic sec-
tors, creating uncertainty, affecting livelihoods
and threatening social stability. In the most
recent crisis global unemployment increased
by nearly 30 million between 2007 and 2009,
while current unemployment estimates remain
far above precrisis levels.
30
Economic shocks
can have long-term negative consequences,
especially if they trigger a vicious cycle of low
human development and conflict.
31
Natural
disasters and political shocks—such as
droughts and coups d’état—usually have strong
negative impacts on human development. But
financial shocks—such as banking crises—are
the most probable trigger of HDI downturns.
32
The number of countries affected by banking
crises appears to be higher in periods of high
international capital mobility. Between 1950
and 1980, when capital controls were common,
few countries had banking crises. But after cap-
ital flows were liberalized and financial markets
further integrated, the incidence of banking
crises soared (figure 2.9).
33
The Nordic banking
crisis in the early 1990s, the Asian financial cri-
sis in 1997 and the recent global financial crisis
exemplify this growing instability.
Although the poorest countries were more
insulated from the initial financial shock—due
to their limited integration in global capital
markets—they were extremely vulnerable
to secondary transmission channels, such as
declining external demand for their exports
and lower foreign investment. Developing
countries traditionally are less able to cope
with large economic shocks and usually take
longer to recover from crises. For instance, the
volatility of GDP growth is often higher in the
poorest countries—except in recent years—
and the proportion of years spent in deep reces-
sion is also higher for them, due partly to their
undiversified economic structures and limited
policy space.
34
Economic crises often generate unemploy-
ment and hardship, but economic booms can
enhance inequality—which may contribute to
the next crisis.
35
Indeed, inequality can be both
a cause and a consequence of macroeconomic
instability.
36
A more equitable distribution of
Global hectares per capita
Average
6
Biocapacity
Ecological footprint
Low human
development
3
Very high human
development
Medium human
development
High human
development
Note:
Data are for 2010.
Source:
Global Footprint Network 2014 and Human Development Report Office calculations.
market conditions, the environment and social
perceptions can have dramatic destabilizing
effects—restricting current and future choices
of individuals and households and hampering
the progress of entire societies. For instance,
sharp swings in prices and economic activity—
as seen in the global economic and financial
crisis of 2007–2008 and the growing volatility
of commodity prices since 2007—threaten
people’s livelihoods and social cohesion, while
creating a climate of uncertainty that affects
decisionmaking and risk-taking.
In recent years financial asset prices, com-
modity prices and capital flows have been
particularly volatile.
29
In addition, social and
political instability erupted from North Africa
to Latin America, even in countries that had
good or rapidly improving standards of living.
While not attempting to be comprehensive or
exhaustive, the rest of this chapter analyses four
interconnected global threats that can increase
vulnerability and undermine progress in hu-
man development: financial instability, food
price volatility, natural disasters and violent
conflict.
46 | HUMAN DEVELOPMENT REPORT
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SPECIAL CONTRIBUTION
Measuring human progress
The accomplishments of the Millennium Development Goal (MDG) era have
been stunning: To take just one example, the number of children who die
each year has gone down by almost half, from more than 12.4  million to
6.6 million. That doesn’t quite hit the two-thirds target included in MDG 4,
but it’s a great thing for humanity.
With the MDGs set to expire in 2015, the development community is
starting to consider the next set of global goals and how to build on the cur-
rent progress. The Secretary-General of the United Nations convened a High
Level Panel on the subject, and one of the priorities it highlighted is a ‘data
revolution’. According to the panel, to accelerate the pace of improvements,
development organizations and developing-country governments need ac-
cess to more and better data.
Few people believe in the power of data as much as I do. In fact, I
wrote the Bill & Melinda Gates Foundation’s annual letter in 2012 about
the importance of measurement. In my experience, the management slogan
“What gets measured gets done” holds true. The mere act of tracking key
indicators makes it much more likely that changes in those indicators will
be positive. Second, analysing development statistics yields lessons that
improve outcomes over time. For example, the recent proliferation of excel-
lent community-based health systems in developing countries has a lot to do
with the clear evidence that frontline workers get results.
Once there’s consensus on the importance of data and the need for a
data revolution, the next step is more debate on the specific contents of
that revolution.
One priority is to rationalize the ongoing data collection processes.
Currently, the supply of data is extremely fragmented, so different players often
count the same things multiple times in slightly different ways while neglecting
Bill Gates
to gather other useful statistics altogether. The answer is not to collect every
conceivable piece of data on economic and human development, which would
increase costs and lead to gridlock. We need a coordinating mechanism where-
by the development community and the developing countries themselves agree
on a limited list of indicators that are worth tracking carefully.
A second priority is investing in developing countries’ ability to collect data
over the long term: in the end, development data is only valuable if used in-
country by policymakers. We should not launch a data revolution based on a
huge infusion of money to gather a trove of data at a single point in time, as
the next set of global goals takes effect. Instead, for a truly lasting revolution,
we need to help countries hire and train more experts and invest in their own
systems for tracking data that matter to them for years to come. Part of this will
involve giving serious consideration to how digital technology can improve data
collection in countries where current techniques are decades old. For example,
using a global positioning system instead of a tape measure and a compass to
estimate agricultural yields can speed up the work by more than a factor of 10.
A third priority is making sure that data on human development is
widely available, informs public policy, and increases accountability. This
means giving citizens, civil society, donors, entrepreneurs, and parliamen-
tarians full access to government data, no matter what the data suggest. It
also means making sure experts use the data that’s available to make better
policy decisions.
The benefit of a data revolution is that it will have an impact on every
single priority in global development and health. With better data, countries
will get better at every single goal they set, whether it’s saving children’s
lives, increasing agricultural yields, or empowering women. Ultimately, bet-
ter data can mean a better life for billions of people.
FIGURE 2.9
Since the liberalization of capital flows and greater financial integration in the 1980s, the incidence of banking crises has soared
High
1
0.9
0.7
0.7
0.6
1914
Share of countries
in banking crisis,
30
three-year sum
(%)
35
25
20
15
Capital mobility
0.5
(index)
0.4
0.3
0.2
0.1
1918
1945
1825
1860
1980
10
5
0
Low
0
1800
1820
1840
1860
1880
1900
1920
1940
1960
1980
2000 2010
Source:
Reinhart 2012.
Chapter 2
State of human development
| 47
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income can boost economic growth and pro-
mote greater social and political stability. Low
income inequality has been associated with
longer growth spells and thus greater economic
sustainability.
37
Food price volatility
Food price volatility has become a growing
threat to food security and thus to human
development. Agricultural prices are inher-
ently variable, but food prices have fluctuated
considerably and unexpectedly since 2007 (fig-
ure 2.10).
38
High and volatile food prices can
have long-term consequences on the physical
and mental well-being of individuals, as poor
households are forced to switch to cheaper but
less nutritious food, cut portion sizes and even
forgo meals. They may also need to work longer
hours or give up other spending on health or
education. Although high prices benefit food
producers and food-exporting countries, they
hurt poor consumers. In addition, greater
price uncertainty also affects smallholders and
traders.
Between 1960 and 1990 food prices broadly
declined—as technological advances enabled
agricultural yields to grow faster than demand.
In the near future, however, they are likely
to remain high and volatile. Why? Because
FIGURE 2.10
population growth and rising incomes in
emerging and developing economies are push-
ing demand to record levels. Growing demand
for biofuels also plays a role. Meanwhile, sup-
ply is constrained by soil degradation, climate
change and low investment in agriculture,
especially the neglect of research and extension
services. Prices are likely to be more volatile
as a consequence of the higher frequency of
extreme weather events, the financialization
of commodity markets and the volatility in
exchange rates.
Natural disasters
More frequent and intense environmental dis-
asters are destroying lives, livelihoods, physi-
cal infrastructure and fragile ecosystems. They
can impair human capabilities and threaten
human development in all countries—
especially in the poorest and most vulner-
able.
39
Higher income and socioeconomic
status are associated with greater ability to
absorb losses and higher resilience. Women,
people with disabilities and racial and ethnic
minorities may face greater barriers to recov-
ering from disasters, partly because they have
fewer personal assets and unequal access to
support.
40
Children, women and the elderly
are particularly vulnerable.
41
Food prices have fluctuated considerably and unexpectedly since 2007
Food price index,
200
three-year
moving average:
2002–2004 = 100
150
100
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
Source:
FAO 2013.
48 | HUMAN DEVELOPMENT REPORT
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SPECIAL CONTRIBUTION
Meeting the Zero Hunger Challenge
The Zero Hunger Challenge, launched in 2012 by the Secretary-General of
the United Nations, integrates a zero food loss and waste challenge and a
100 percent sustainable food system challenge. How can this be accom-
plished? Let me cite the case of India.
Over 70 years ago, the Indian sub-continent witnessed a serious famine
in the Bengal region that led to the death of more than 3 million children,
women and men. India’s population was then 300 million; it is now over
1.2 billion. In 2013, India witnessed a historic transition from the famine
conditions of 1943 to a legal commitment to provide, at a very low cost, the
minimum essential calories to over 75 percent of the population from home
grown food. The challenge now is to sustain the right to food commitment
in an era of climate change, which can be characterized by unfavourable
alterations in temperature, precipitation and sea level.
The Indian experience shows that the challenge can be met through a
six-pronged strategy consisting of:
• Attention to soil health enhancement, and conservation of prime farm land
for agriculture.
• Rain water harvesting, aquifer recharge and conjunctive use of ground
water, surface water, treated waste water and sea water. Sea water con-
stitutes 97 percent of the global water resource, and it is now possible to
promote sea water farming systems involving halophytes and aquaculture.
• Spreading appropriate technologies and the needed inputs.
• Credit at low interest and effective group and individual insurance.
• Assured and remunerative marketing.
• Providing farmers with small holdings the economy and power of scale
through cooperatives, self-help groups, producer companies and contract
farming.
Through a science-based marriage of nutrition and agriculture, agri-
cultural remedies can be provided for nutritional maladies. For achieving
Professor M.S. Swaminathan
nutrition security, there is a need for concurrent attention to under-nu-
trition or calorie deprivation, protein hunger, and hidden hunger caused
by the deficiency in the diet of micronutrients like iron, iodine, zinc, vi-
tamin A and vitamin B12. Protein deficiency can be alleviated through
enhanced production and consumption of pulses (grain legumes), milk
and eggs. Micro-nutrient deficiencies can be addressed through the
popularization of biofortified crops. Micronutrient-enriched varieties are
becoming available in several crops, such as rice, beans and wheat. The
United Nations has designated 2014 as the International Year of Family
Farming, and efforts should be made by developing countries to make
every family farm a biofortified farm. We also should aim to train one
woman and one man in every village in nutrition literacy to serve as
Community Hunger Fighters.
Factors like clean drinking water, sanitation, primary healthcare and
nutritional literacy have to be addressed for achieving nutrition security
for all. Above all, priority to assisting small farm families to produce and
earn more is the best way of overcoming poverty and malnutrition. The
Indian Food Security Act has several interesting features worthy of emula-
tion. Some of these include adopting a life cycle approach with special
attention to the first 1,000 days in a child’s life and designating the eldest
woman in the household as the recipient of the subsidized food. Thus, the
critical role women play in household food security is recognized under
this Act.
In most developing countries the livelihood security of more than 50 per-
cent of the population depends on crop and animal husbandry, inland and
marine fisheries, forestry and agro-forestry, and agro-processing and agri-
business. Under such conditions, if agriculture goes wrong, nothing else will
have a chance to go right. Recent trends in food prices indicate that the
future belongs to countries with grains and not guns.
Natural disasters are increasing in frequency
and intensity. Between 1901 and 1910 there
were 82 recorded disasters, but between 2003
and 2012 there were more than 4,000. Even
allowing for better recording, the increase is
substantial. Particularly worrying is the much
greater incidence of hydrological and mete-
orological disasters (figure 2.11). Although
fatalities from natural disasters appear to be
declining, the number of people affected is
increasing.
The frequency and severity of heat waves,
floods, droughts and heavy precipitation have
been linked to climate change. These extremes
inflict exceptionally high economic and social
costs. Moreover, there is growing scientific
evidence that human action is responsible for
warming the atmosphere and oceans, rising
sea levels and some climate extremes.
42
Global
warming increases the likelihood of severe,
pervasive and irreversible impacts.
43
So, some
of these weather extremes could be potentially
prevented, or at least lessened. Climate change
and environmental degradation are major
threats to human development. Action to re-
duce these vulnerabilities, including a global
agreement on climate change negotiations,
will be fundamental to securing and sustaining
human development.
Violent conflict
Armed conflicts impose enormous costs on
individuals, communities and countries. In
addition to the loss of lives, they destroy live-
lihoods, generate insecurity and disrupt social
services, institutions and markets. Conflicts
can also cause large population displacements.
By the end of 2012 around 45 million people
were forcibly displaced due to conflict or
Chapter 2
State of human development
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FIGURE 2.11
Between 1901 and 1910 there were 82 recorded natural disasters, but between 2003 and 2012 there were more than 4,000
Climatological
Metereological
Hydrological
Geophysical
Biological
Year
1900
1920
1940
1960
1980
2000
0
100
0
150
0
250
0
50
0
150
Number of natural disasters
Note:
The main types of disasters include extreme temperatures and droughts (climatological), storms (meteorological), floods (hydrological), earthquakes (geophysical) and epidemics (biological).
Source:
CRED 2013.
persecution—the highest in 18 years—with
15.4  million of them refugees.
44
Displaced
populations separated from their jobs, assets
and social networks are highly vulnerable to
further violence, disease, poverty and natural
disasters and have impaired ability to cope with
adversity.
Internal and nonstate armed conflicts
account for the vast majority of conflicts
worldwide (figure 2.12).
45
The number of
nonstate conflicts has risen recently, and al-
though the total number of internal conflicts
is declining, the number of internationalized
internal conflicts is on the rise. Interstate con-
flicts have declined due partly to the end of
the colonial wars and the Cold War. Armed
conflicts occur for different reasons and in
very different contexts. But deficits in devel-
opment, unaddressed grievances (including
past conflicts) and natural resource rents are
common threads in the majority of armed
conflicts.
Civil unrest has been fuelled by a grow-
ing perception that policymaking has not
50 | HUMAN DEVELOPMENT REPORT
2014
prioritized people’s needs or listened to
their voices, which should be taken as an
important call for better governance. This
requires greater accountability and respon-
siveness of governments to the concerns of
their citizens. Profound transformations are
needed—beyond changes in government,
as the Arab Spring illustrated—to open the
political space and enable agency. Growing
economic and social tensions—emerging from
increasing inequality and a lack of economic
opportunities—are likely to continue to fuel
social unrest.
46
Several global factors can fuel conflicts and
enhance fragility, such as transnational organ-
ized crime, international markets in military
goods and security services, and the spread of
radical extremism. Addressing these sources of
vulnerability will be crucial to promote peace
and advance human development.
47
The world has always been subject to
uncertainty and unpredictability. But the
growing frequency and severity of economic
and environmental shocks threaten human
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FIGURE 2.12
Internal and nonstate armed conflicts account for the vast majority of conflicts worldwide
Number of
60
armed
conflicts
40
Nonstate
Internal
a
Interstate
b
30
20
10
10
0
1950
a. Includes internationalized internal conflicts.
b. Includes extrasystemic conflicts.
Source:
UCDP and PRIO 2013; UCDP 2013.
1960
1970
1980
1990
2000
2010
development. That makes it vital to adopt bold
national and international policies to reduce
the vulnerability of individuals, communities
and countries and to increase their resilience
(chapters 4 and 5).
*
*
*
Despite continuing progress in human devel-
opment, many people remain vulnerable to
shocks that undermine their ability to live a
healthy and fulfilling life. The next chapter
identifies specific population groups that are
particularly vulnerable to systemic threats and
the mechanisms through which these vulnera-
bilities affect human development.
Chapter 2
State of human development
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SPECIAL CONTRIBUTION
Dealing with climate change
Addressing vulnerabilities and building resilience would need to deal with
the impacts of climate change, which could become progressively serious
if mitigating emissions of greenhouse gases (GHG) is either delayed or in-
adequate in magnitude. The recently completed Working Group I report by
the Intergovernmental Panel on Climate Change (IPCC) as part of the Fifth
Assessment Report clearly establishes that each of the last three decades
has been successively warmer at the Earth’s surface than any preceding
decade since 1850. In the Northern Hemisphere, 1983−2012 was likely the
warmest 30-year period of the last 1,400 years.
The rate of sea level rise since the mid-19th century has been larger
than the mean rate in the previous two millennia. Over 1901–2010 the
global mean sea level rose by 0.19 meters. Projections indicate that for
the highest GHG concentration scenario, sea level rise would lie between
0.52 to 0.98 meters by 2100 and between 0.58 and 2.03 meters by 2200.
This clearly would severely test the resilience and adaptive capacities of
societies in low-lying coastal areas and small island states. It is also likely
that mean sea level rise will contribute to upward trends in extreme coastal
high water.
The length, frequency and intensity of warm spells or heat waves will
increase over most land areas. Based on emission scenarios, a 1-in-20 year
hottest day is likely to become a 1-in-2 year event by the end of the 21st
century in most regions. And the frequency of heavy precipitation or the
proportion of total rainfall from heavy falls will increase in the 21st century
over many areas of the globe. A nearly ice-free Arctic Ocean in September
is likely before mid-century in the highest GHG concentration scenario.
Correspondingly, temperature increases relative to 1986–2005 are projected
to be in the range of 2.6°C to 4.8°C for 2081–2100.
Some of the expected changes from climate change will be abrupt,
leaving less time for adaptation. A large fraction of anthropogenic climate
change from CO
2
emissions is irreversible on a multicentury to millennial
time scale. For example, depending on the scenario, about 15 to 40 percent
Rajendra Pachauri, Chair, Intergovernmental Panel on Climate Change
of emitted CO
2
will remain in the atmosphere longer than 1,000 years. It is
also virtually certain that global mean sea level rise will continue beyond
2100, with sea level rise due to thermal expansion to continue for many
centuries. Sustained mass loss by ice sheets would cause larger sea level
rise, and some part of the mass loss might be irreversible. There is high
confidence that sustained warming greater than some threshold would lead
to the near-complete loss of the Greenland ice sheet over a millennium or
more, causing a global mean sea level rise of up to 7 metres. Current esti-
mates indicate that the threshold is greater than about 1°C but less than
about 4°C. The Fourth Assessment Report stated that under the SRES sce-
narios, the coastal population could grow from 1.2 billion people in 1990 to
1.8–5.2 billion people by the 2080s, depending on assumptions about migra-
tion. With increases in global population, the number of people vulnerable
to sea level rise will also likely increase.
Actions that range from incremental steps to transformational changes
are essential for reducing risks from climate extremes. Social, economic and
environmental sustainability can be enhanced by disaster risk management
and adaptation approaches. A prerequisite for sustainability in the context
of climate change is addressing the underlying causes of vulnerability, in-
cluding the structural inequalities that create and sustain poverty and con-
strain access to resources.
The most effective adaptation and disaster risk reduction actions are
those that offer development benefits in the relative near term as well as
reductions in vulnerability over the longer term. There are many approaches
and pathways to a sustainable and resilient future. However, limits to re-
silience are faced when thresholds or tipping points associated with social
and natural systems are exceeded, posing severe challenges for adapta-
tion. Consequently, global society has to be aware that neither mitigation
nor adaptation alone can avoid all climate change impacts. Adaptation and
mitigation can complement each other, and together can significantly reduce
the risks of climate change.
52 | HUMAN DEVELOPMENT REPORT
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“There can be no keener revelation
of a society’s soul than the way
in which it treats its children.”
Nelson Mandela
“A stone thrown at the right
time is better than gold
given at the wrong time.”
Persian proverb
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3.
Vulnerable people, vulnerable world
Almost everyone feels vulnerable at some point in life. But some individuals and some groups are more vulnerable than
others due to varying exposure to social and economic conditions and at different stages of their life cycles, starting at
birth. This Report is concerned with people facing the possibility of major deterioration in their circumstances as a result of
adverse events. The interest is in examining how individual and social characteristics condition the impacts that people feel
in response to persistent shocks and risks more generally. By focusing on enduring and systemic vulnerability, we then ask
who is vulnerable and why. This leads us to examine some of the critical underlying factors that generate these impacts.
People with limited core capabilities, such as
in education and health, are less able to easily
live lives they value. And their choices may be
restricted or held back by social barriers and
other exclusionary practices. Together, limited
capabilities and restricted choices
1
prevent
them from coping with threats. At certain stag-
es of the life cycle, capabilities may be restricted
due to inadequate investments and attention at
the appropriate times, yielding vulnerabilities
that may accumulate and intensify. Consider
how the lack of development of cognitive and
noncognitive skills in early childhood affects
labour outcomes and even drug and alcohol use
later in life.
2
Among the factors that condition
how shocks and setbacks are felt and tackled
are circumstances of birth, age, identity and so-
cioeconomic status—circumstances over which
individuals have little or no control.
This chapter highlights life cycle vulnerabil-
ities and structural vulnerabilities (as well as
their intersections). It also looks at how secu-
rity influences choices and affects some groups
more than others, with a focus on personal
insecurity.
•
Life cycle vulnerabilities
refer to threats that
individuals face across different stages of
their life—from infancy through youth,
adulthood and old age. Focusing on life
cycle vulnerabilities and the formation of
life capabilities draws attention to sensitive
phases when a person may be particularly
susceptible. Inadequate attention during
such periods can limit capabilities and
heighten vulnerability. Earlier and continual
investments make the formation of life capa-
bilities more robust. This approach helps in
identifying interventions and policies that
build human resilience, a subject for the next
chapter.
•
Structural vulnerabilities
are embedded in so-
cial contexts. Such a focus draws attention to
individual and group characteristics, includ-
ing group identity, that are associated with a
higher vulnerability to adverse circumstances.
The reduced ability to bounce back can be
traced to inadequate investments in building
capabilities not only today, but throughout
the entire life cycle, to disability, to geo-
graphical remoteness or other isolation, or
to societal barriers that prevent people from
realizing their potential even if they otherwise
have similar capabilities (such as discrimina-
tion and the exclusion of women).
Social institutions including norms shape
the capabilities and choices that are afforded
to individuals. Norms such as discrimination
against certain groups, weak rule of law and
systems of recourse, and settling of disputes
through violence can severely curtail the free-
doms that individuals enjoy. Structural factors
can also subject people or groups to multiple
disadvantages. Group-based discrimination
and exclusion exist across multiple dimen-
sions—political participation, health care,
personal security and education, to name a
few—and generate chronic and overlapping
vulnerabilities for minorities and other ex-
cluded groups by limiting their capabilities
and their potential role in the larger society.
•
Group violence and insecure lives.
Vulnerability adds an important dimension
to any assessment of human development
and its progress. Human development is
about not only expanding choices, but also
whether those choices are secure and likely
to exist in the future. Making choices freely
can be impaired by personal insecurity and
fear of violence. Violence restricts choices
and freedoms through physical harm and
Chapter 3
Vulnerable people, vulnerable world
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When investments in life
capabilities occur earlier,
future prospects are better
threats and flourishes in countries with weak
states, limited governance and poor social
institutions. Violence is also associated with
high poverty and inequality. Women and
sexual, ethnic and religious minorities—as
well as other groups and communities that
face social discrimination—are more likely
to experience personal insecurity and threats
of violence, perceived or actual.
Whether societies are cohesive can influence
how individuals and communities respond
to persistent and pervasive shocks. A lack of
social cohesion coupled with high inequality
threatens human development achievements
by skewing institutions and eroding the social
contract.
3
Beyond a certain threshold, inequal-
ity exacerbates rent-seeking, which impedes
growth, slows poverty reduction and limits
the quality of social and political engagement.
Of course, the relationship also goes the other
way, since rent-seeking activities may lead to
increased inequality.
4
Inequality also impedes
human development by reducing investment
in basic social services and public goods and by
increasing political instability.
5
Cohesive and
more-equal societies do better in most aspects
of human development, including responding
to threats and challenges.
6
People are more
secure when states function well and when
social cohesion is strengthened by protecting
all rights and advancing norms that boost tol-
erance and inclusiveness. Such states also tend
to have strong social institutions that create
space for individuals and groups to feel secure
in expressing their concerns, in claiming their
rights to support and protection and in build-
ing alliances for collective action.
Life capabilities and life
cycle vulnerabilities—
interdependent and cumulative
Capabilities are built over a lifetime and have
to be nurtured and maintained; otherwise they
can stagnate. Many of people’s vulnerabilities
(and strengths) are the result of their life his-
tories, with past outcomes influencing present
exposure and ways of coping.
7
The formation of
life capabilities has two features.
• First, life capabilities at any stage of life are
path-dependent—that is, they are affected
56 | HUMAN DEVELOPMENT REPORT
2014
by investments in the preceding stages of life.
They are also subject to an ecological rela-
tionship and affected by the interplay among
the immediate environment, the community
and society.
• Second, short-term shocks frequently have
long-run consequences. Individuals may
not automatically bounce back from what
appears to be a transitory shock (hysteresis).
For instance, a setback in early childhood can
have serious ramifications throughout the
rest of a person’s life, including the chances
of holding onto a job, the uncertainties
associated with growing older and the trans-
mission of vulnerabilities to the next gener-
ation. Some effects can be reversed, but not
always
8
;reversal is context-specific and not
necessarily cost-effective.
9
When investments in life capabilities occur
earlier, future prospects are better (see the
solid blue line in figure 3.1). The opposite is
also true—the lack of timely and continuing
investments in life capabilities can heavily
compromise an individual’s ability to achieve
full human development potential (see the
solid red line in figure 3.1). Later interventions
can help individuals recover—but usually
only partially—and move to a higher human
development path (see the dashed blue lines in
figure 3.1).
Structural vulnerabilities—arising from
such factors as gender, ethnicity and inter-
group inequality (see next section)—interact
with life cycle dynamics to place certain
groups of children, youth, working people
and older adults at greater risk. An example
is the intergenerational transmission of vul-
nerability from disadvantaged parents to their
children. This interaction is influenced by
the social context and the degree of human
agency. Since people do not suffer crises pas-
sively, they have a major role in shaping their
destinies. This active role, or agency, of the in-
dividual and collective is most easily realized
in societies that create space for citizens to
express their views, voice their concerns and
make reasoned decisions about the types of
lives they want to live.
The extent to which the public can engage
with states or take direct action to reduce vul-
nerability goes beyond democratization in the
institutional sense. Even in democracies elite
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FIGURE 3.1
When investments in life capabilities occur earlier, future prospects are better
Capabilities
- Poor job quality
- Lack of social protection
- Lack of employment opportunities
- Low school availability and quality
- Violence, conflicts
- Lack of social protection
- Lack of care
- Higher incidence of disabilities
- Early neglect
- Poor nutrition and
lack of pre- and
post-natal care
- Poor child
stimulation
Prenatal and early
childhood
Youth
Adulthood
Old age
Represents life capability at its full potential for individuals; this is the path of life capabilities that individuals could achieve if they were able to successfully manage the vulnerabilities
they are likely to face during sensitive periods along their life cycle.
Shows that when individuals fail to overcome vulnerabilities at any sensitive period, their life capabilities are likely to end up on a lower path.
Later interventions could help individuals recover—but usually only partially—and move to a higher path.
Source:
Human Development Report Office calculations.
capture of political systems can narrow the
scope of public discussion and reduce oppor-
tunities for critical examination of a society’s
values and priorities.
Early childhood—building
strong foundations to break the
intergenerational cycle of deprivation
The foundational period is early childhood—a
window of opportunity for resolving early in-
equity and achieving inclusive and sustainable
social and economic development (box 3.1).
The global population of children under age
5 is 659 million (9.1 percent of the total). The
regions with the highest shares of children in
the total population are Sub-Saharan Africa
(16.2  percent), the Arab States (12  percent)
and South Asia (10.5 percent; figure 3.2). By
2050 the global share is expected to drop to
7.9  percent, with the largest drop in South
Asia (to 6.9 percent). By 2050 only the Arab
States and Sub-Saharan Africa will have above-
average shares of children under age 5.
10
By providing basic health care, adequate
nutrition, and nurturing and stimulation in
a caring environment, interventions in early
childhood development help ensure children’s
progress in primary school, continuation
through secondary school and successful
entry into adulthood and engagement in the
workforce.
11
Events in early life affect the development of
the brain’s circuitry, the dynamic gene–envi-
ronment interactions and the programming of
the body’s immune, neurological and endocrine
systems. This has implications for subsequent
trajectories of human development.
12
Both the
architecture of skills (coping abilities and cog-
nitive and noncognitive competences) and the
process of skill formation are strongly influenced
by neural circuits that develop as a result of dy-
namic interactions between genes and early-life
environments and experiences. In other words,
Chapter 3
Vulnerable people, vulnerable world
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SPECIAL CONTRIBUTION
Human development and early childhood development
James Heckman, Nobel Laureate and Economics Professor at the University of Chicago
Recent research on the economics, psychology and neuroscience of human
development is converging to a deeper understanding of how we become
who we are. This Report offers guidelines on how this knowledge should
guide policy.
Multiple abilities shape flourishing lives. Policymakers need to move
beyond a one dimensional focus of measuring human development by
scores on achievement tests, like the Programme for International Student
Assessment, and consider a much broader array of essential life skills.
The early years are important in creating human capacities. Policymakers
need to act on the knowledge that skills beget skills, that flourishing lives
have strong early foundations and that substantial gaps in skills emerge be-
fore children start school. This Report offers guidance on effective strategies
of human development starting in the womb and continuing through old age.
Investments in early childhood development can play an important role
in reducing the role of the accident of birth in determining life outcomes. The
most productive investments foster parenting, attachment and interactions
between parents and children. Good parenting is far more important than
cash. An economically advantaged child subject to low-quality parenting is
more disadvantaged than an economically disadvantaged child with a par-
ent who cares and guides the child wisely.
The new science of early childhood shows that what is socially fair can
be economically efficient. High-quality supplements to family life that foster
beneficial parent–child interactions and stimulate children have high eco-
nomic returns that more than pay for themselves. Quality early childhood
development can be an important contributor to a successful national eco-
nomic development strategy.
FIGURE 3.2
The regions with the highest shares of children under age 5 in the total population are Sub-Saharan Africa, the Arab States and South Asia
Share of children
under age 5
in the total
population (%)
20
1970
2010
2050
15
10
5
0
Arab States
East Asia
and the Pacific
Europe
and Central Asia
Latin America
and the
Caribbean
South Asia
Sub-Saharan
Africa
Developed
countries
World
Source:
Human Development Report Office calculations based on Lutz and KC (2013).
the environment can affect individuals different-
ly depending on their genetic endowments, and
the same genetic endowment produces different
outcomes depending on the environment.
13
This interaction follows hierarchical rules in a
sequence of events, such that later attainment is
built on foundations laid earlier.
Cognitive, social, emotional and language
competences are interdependent, since all are
58 | HUMAN DEVELOPMENT REPORT
2014
shaped by early experiences and all contribute
to the formation of lifelong capabilities (figure
3.3).
14
As a result, stresses in early life—such
as socioeconomic deprivation, disruptive care
giving and harsh parenting—tend to be asso-
ciated with difficulties in adult life, including
the incidence of chronic diseases. Studies from
New Zealand and the United States have
linked childhood abuse and other adversities
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FIGURE 3.3
Cognitive, social, emotional and language competences are interdependent, since all are shaped by early
experiences and all contribute to the formation of lifelong capabilities
Social and cognitive skills
Social/emotional skills
Cognitive skills
(Sit still; pay attention; engage in learning; open to experience)
Health
Cognitive skills
(Fewer lost school days: ability to concentrate)
Produce better health practices;
produce more motivation;
greater perception of rewards
Cognitive skills
(Child better understands and controls its environment)
Outcomes
Increased productivity, higher income, better health, more family investment,
upward mobility, reduced social costs
Source:
Heckman 2013.
with a range of health problems, including
coronary artery disease, high blood pressure,
type 2 diabetes, obesity and cancer—as well
as with such mental and behavioural problems
as depression, alcoholism, smoking and other
substance abuse.
15
Infants and young children across the world,
exposed to innumerable risks, are extremely
vulnerable to the effects of inadequate access to
health care or education, clean drinking water
or proper sanitation and food.
16
The longer the
exposure to harsh conditions or deprivations,
the greater the burden on the body’s stress re-
sponse system.
17
But it is a mistake to assume that abilities
are fixed. Multiple abilities, both cognitive
and noncognitive, develop continuously from
the early years onwards in a variety of learning
situations to foster further learning and per-
formance. Many of these processes interact.
18
For example, academic motivation not only
boosts education outcomes, but is also likely to
reduce drug and alcohol use, both of which are
associated with crime. Enhanced personality
traits such as academic motivation can promote
learning, which in turn boosts achievement.
But in the other direction, aggressive, antisocial
or rule-breaking behaviours can lead to crime
and poor labour market outcomes.
19
Too often, poverty disrupts the normal
course of early childhood development—more
than one in five children in developing coun-
tries lives in absolute income poverty and is
vulnerable to malnutrition.
20
In developing
countries (where 92  percent of children live)
7 in 100 will not survive beyond age 5, 50
will not have their birth registered, 68 will
not receive early childhood education, 17 will
never enrol in primary school, 30 will be stunt-
ed and 25 will live in poverty.
21
Inadequate
food, sanitation facilities and hygiene increase
the risk of infections and stunting: close to
156  million children are stunted, a result of
undernutrition and infection.
22
Undernutrition
contributes to 35 percent of deaths due to mea-
sles, malaria, pneumonia and diarrhoea.
23
The
impact is greatest if the deprivation is in early
childhood.
24
Children are also affected if their
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Vulnerable people, vulnerable world
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mothers are poor, have low levels of education
or suffer from depression or high levels of stress,
perhaps as a result of violence, poor housing or
a lack of services.
Lacking basic nutrition, health care and
stimulation to promote healthy growth, many
poor children enter school unready to learn,
and they do poorly in class, repeat grades and
are likely to drop out. For children who survive,
poverty and undernutrition during preschool
years account for a subsequent loss of more
than two school grades. Even at age 6, or by the
time of school entry, a poor child may already
be at a disadvantage (figure 3.4).
25
Gaps in skills
open early. For example, word accumulation
begins very early in life. In the United States at
age 36 months the verbal skills of children from
different socioeconomic backgrounds differ
markedly, and the differences, or trajectories,
for verbal skills, are still present at age 9 (box
3.1).
26
Those from poor backgrounds learn
more slowly if their parents have had little
education. In Colombia and Mexico semantic
verbal fluency is strongly associated with paren-
tal education.
27
Good adult–child interactions in the early
years are essential stimulation for brain de-
velopment and do not necessarily depend on
FIGURE 3.4
money.
28
In fact, parents’ communication with
their children and their sensitivity to children’s
emotional needs can limit the effects of low so-
cioeconomic status on children’s cognitive and
socioemotional development.
29
Economic downturns can also disrupt
children’s education development—espe-
cially when their parents lose their jobs. The
Indonesian crisis in 1998 led to a 5–8 percent-
age point decline in enrolment among children
ages 13 and 14,
30
and the crises in post-Soviet
and Central Asian countries reduced enrol-
ment 3–12 percentage points.
31
When educational attainment is reduced,
vulnerabilities are transmitted across gener-
ations by limiting children’s future learning
and employment opportunities.
32
Poverty
and undernutrition during preschool years are
associated with a more than 30  percent loss
in income.
33
Conditions experienced before
age 18, including structural vulnerabilities
such as poverty and group inequality, con-
tribute to about half the inequality in lifetime
earnings.
34
Violence, neglect and conflict also damage
early childhood development. Children in the
Gaza Strip have three times the emotional and
behavioural problems of middle-class Canadian
Poor children are already at a vocabulary disadvantage by age 6, as shown in the case of Ecuador
Language skills
110
(median
Peabody Picture
100
Vocabulary
Test score)
90
Richest 25%
50–75%
80
70
25–50%
Poorest 25%
60
3
3.5
4
4.5
5
5.5
6
Child’s age
(years)
Source:
Paxson and Schady 2007.
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BOX 3.1
Meaningful differences: 30 million more words
Children’s early exposure to language in relation to family status and
income makes a difference. Evidence from the United States highlights the
importance of good parent–child interaction and stimulation, especially for
children in poorer socioeconomic settings, and the critical roles of families
and communities (see table and figure). Children’s success depends on the
quality of early home environments.
Cumulative vocabulary experiences for children in the United States
Family
socioeconomic status
Welfare
Working class
Professional
Words heard
per hour
616
1,251
2,153
Words heard
by age 4
13 million
26 million
45 million
Gaps open early before entering school—vocabulary
Cumulative
1,200
vocabulary
(words)
1,000
800
600
400
200
0
16
24
College educated parents
Working class parents
Welfare parents
36
Child’s age (months)
Source:
Hart and Risley 1995.
children.
35
And children who witness their
mothers being beaten by intimate partners are
more likely than others to grow up to become
victims or perpetrators of violence.
36
At particular risk of sexual abuse are children
with disabilities and those who are psychologi-
cal or cognitively vulnerable
37
—those who live
in communities where unemployment and sub-
stance abuse are rampant—or are abandoned,
trafficked or forced to work outside the home.
38
Children raised in institutions may also suffer
profound deprivation that damages brain de-
velopment.
39
Even schools may be sources of
insecurity. Indeed, when parents fear for the
physical and sexual safety of daughters, they are
likely to keep them out of school.
40
Alleviating the worst effects of poverty and
deprivation, and breaking the intergenerational
cycle of poverty, gives children a better chance.
Navigating vulnerabilities during youth
Youth—ages 15–24—is a key period of transi-
tion when children learn to engage with society
and the world of work.
41
In many countries the
number of young people is rising. The global
youth population is 1.2 billion (17.6 percent of
the total population), and the regions with the
highest shares of young people in their popu-
lation are Sub-Saharan Africa (20.2 percent),
the Arab States (19.6 percent) and South Asia
(19.6  percent). By 2050 the share of young
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people in the total population is expected to
drop to 13.8 percent, with the largest drop in
East Asia and the Pacific (from 17.3 percent in
2010 to 10.7 percent in 2050).
42
Country data
also show that the share of young people in
the total population is expected to fall in most
regions by 2050 (map 3.1).
MAP 3.1
Governments will need to ensure sufficient
employment opportunities for young people
or face social and political unrest. Recent so-
cial upheavals show that a mismatch between
increasingly educated young people and
employment opportunities can yield aliena-
tion and despair. The International Labour
The share of young people in the total population is expected to fall in most regions between 2010 and 2050
2010
Share of young people (ages 15–24) in total population (%)
20.2–25
18.5–20.2
14.5–18.5
0–14.5
No data
*
**
2050
*
**
Note:
These maps are stylized and not to scale. They do not reflect a position by the United Nations Development Programme on the legal status of any country or territory
or the delimitation of any frontiers.
Source:
Human Development Report Office calculations based on Lutz and KC (2013).
62 | HUMAN DEVELOPMENT REPORT
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Organization’s projection for job creation in
the Middle East is flat, which could lead to a
continuing mismatch between opportunities
and aspirations.
43
Young people around the world are especially
vulnerable to marginalization in the labour
market because they lack work experience,
social networks, job search abilities and the
financial resources to find employment. So
they are more likely to be unemployed, un-
deremployed or employed on more precarious
contracts. Youth unemployment rates, almost
always higher than those for adults, are also
more sensitive to macroeconomic shocks.
44
In 2012 the global youth unemployment rate
was an estimated 12.7 percent—almost three
times the adult rate.
45
When a crisis hits, young
people are more likely to experience joblessness
than adults are, and the gap between youth and
adult unemployment rates remains wide, even
after the economy has begun to recover.
46
Many social and economic challenges facing
young people today, including unemployment,
must be understood in the interaction between
unique demographic trends and specific eco-
nomic contexts.
47
As a consequence of the large
decline in fertility rates,
48
in many developing
countries the share of young people in the to-
tal population has increased over the past 40
years, creating a ‘youth bulge’. This presents an
opportunity to foster human development, as
the labour force grows
49
with better educated
and potentially more-productive workers. But
the growing youth labour force has not been
matched by increasing productive employment
opportunities. Today’s high youth unemploy-
ment rate is a considerable loss of human
development potential that not only threatens
economic progress,
50
but also raises the risk of
social unrest, violence and crime.
51
Ambitious policies are critical for meeting
young people’s expectations in the labour mar-
ket. Under an ‘ambitious policy’ scenario, global
youth unemployment would be less than 5 per-
cent by 2050
52
due to the dual effect of fewer
young people entering the labour market and
higher economic growth. However, there are im-
portant regional heterogeneities. Under a ‘busi-
ness as usual’ scenario the gap would continue to
grow, particularly in Sub-Saharan Africa.
53
But
ambitious policies (fast track education policies
and accelerated economic growth) would close
the gap in supply and demand for young workers
for South Asia and reduce it for Sub-Saharan
Africa (figure 3.5). In South Asia the gap would
be closed by 2050 due to the dual effect of edu-
cation policies on population dynamics (which
will reduce the number of young people that
enter the labour market) and higher economic
growth. For Sub-Saharan Africa additional poli-
cies to raise the employment intensity of growth
would be needed to close the gap.
Young people are also vulnerable as they
face changes in their physical, cognitive, social,
gendered and emotional lives. For example,
adolescents could risk being out of school and
out of work, limiting their engagement in so-
ciety. Some are forced to work, are trafficked
for sex or become undocumented migrants.
These experiences are shaped by the socioeco-
nomic environment. In many countries young
people are seeing their choices limited by
economic insecurity, technological change, po-
litical uprisings, conflict (box 3.2) and climate
change—which can transform enthusiasm and
entrepreneurship into frustration and despair.
Young people’s social transitions are also
shaped by broader structural factors, such as
poverty, gender and inequality, as well as local
practices. In some regions social change and
the expansion of formal education are altering
the opportunities for and constraints on young
people’s social transitions to adulthood. For
example, young people are marrying later and
delaying having children.
Investing earlier in the life cycle has proven
effective in improving outcomes for adoles-
cents later in life. But if substantial deprivation
occurs in childhood, there is potential for long-
term losses.
54
A recent study looked at 15-year-
olds who experienced a food shortage at age 12.
In Peru they were 60  percent less likely to
have a healthy body mass index; in Ethiopia
and Andhra Pradesh, India, they scored lower
in cognitive achievement; in Viet Nam and
Andhra Pradesh they reported lower self-rated
health; and in Ethiopia and Peru they reported
lower subjective well-being.
55
Typically, the opportunities are better in
urban areas.
56
In Andhra Pradesh 25  percent
of young people are no longer in school in
rural areas, compared with 15 percent in urban
areas. Girls were needed for work at home or
on family land, while boys had left school,
Recent social upheavals
show that a mismatch
between increasingly
educated young people
and employment
opportunities can yield
alienation and despair
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FIGURE 3.5
Fast track education policies and accelerated economic growth would eliminate the gap in supply and demand for young workers in South
Asia and narrow it in Sub-Saharan Africa between 2010 and 2050
Youth labour supply, base
Youth labour supply, fast track scenario
Labour demand, base
Labour demand, accelerated progress scenario
300
Labour supply, base
Labour supply, fast track scenario
Labour demand, base
Labour demand, accelerated progress scenario
200
South Asia
Sub-Saharan Africa
200
160
100
120
2010
2020
2030
2040
2050
2010
2020
2030
2040
2050
Source:
Human Development Report Office calculations based on Lutz and KC (2013) and Pardee Center for International Futures (2013).
either to work for pay or because of schooling’s
perceived irrelevance or poor quality. Young
people from Scheduled Castes and Scheduled
Tribes were twice as likely to have left school.
Urban families also have more variety in educa-
tion institutions.
57
Gender inequality shapes the school ex-
perience of young people. In rural Ethiopia
15-year-old girls in the lowest wealth quintile
scored on average 2.1 of 20 on a math test,
whereas 15-year-old boys averaged 7.4. In
rural Viet Nam 15-year-old girls averaged 9.4,
whereas 15-year-old boys averaged 18.1.
58
The onset of puberty opens other vulnerabil-
ities, with different ramifications for boys and
girls.
59
A major concern is teenage pregnancy—
which brings medical risks to mother and
child, increases the rate of maternal depression
and lowers the mother’s education and employ-
ment status.
60
Premature pregnancy also has
implications for young men, imposing financial
and social obligations they are not yet ready
to handle.
61
There are similar concerns about
early marriage—often arranged for young
people who have limited social and economic
64 | HUMAN DEVELOPMENT REPORT
2014
options.
62
But in most parts of the world, mar-
riage of young girls is arranged as part of taking
care of their material needs and those of their
families. The practice of early marriage tends
to continue when the social and economic op-
tions of young women are limited.
These and other local customs and sociocul-
tural practices shape young people’s social tran-
sitions to adulthood. For example, young men
may have intergenerational obligations that
shape their social transitions, such as caring for
ageing parents.
Young adults are also particularly vulnerable
to violence,
63
which can lead to exclusion, hope-
lessness, a lack of purpose in life and, particu-
larly among girls, increased anxiety, depression
and post-traumatic stress.
64
Based on homicide
rates, the problem is greatest in Latin America,
where the rate is higher than 70 per 100,000.
65
For each young person killed, 20–40 more are
believed to sustain injuries requiring hospital
treatment. Homicide rates, highest for men
ages 15–29, tend to decline with age, whereas
the much lower rates for woman remain largely
unchanged during the life cycle (figure 3.6).
66
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BOX 3.2
Somalia: conflict and youth exclusion
Deprivation, exclusion and grievances are particularly widespread during
conflicts. They are fuelled by underdevelopment and poverty and uneven
power distributions and inequality between groups that result in multiple ex-
clusions and competition for resources. In Somalia young people experience
exclusion in three dimensions—sociocultural, economic and political—and
a lack of opportunities. As a result, they become both victims and sources of
conflict. Caught between conflict and poverty, they are jobless and voiceless.
To capture their deprivations and frustrations, and highlight the potential
of energy and enthusiasm for change, the 2012
Somalia National Human
Development Report: Empowering Youth for Peace and Development
en-
gaged youth to hear their opinion of their situation.
In all Somali regions young people experience a disconnect between
education and employment opportunities that prevents social and eco-
nomic empowerment (see figure). They also perceive few opportunities to
Youth perceptions of exclusion and coping strategies
participate in society or express their needs and aspirations. This feeling
is particularly strong in South Central Somalia, the most conflict-affected
region. The lack of voice, choice and options forces young people to engage
in violence and conflict. Motives are financial as well as nonfinancial, out of
a need for personal security or related to identity, status and revenge.
Combining these results in a new youth frustration index, Somalia
scores 3.96 out of 5 points (where 5 is the most frustrated). With the lack
of employable skills, the lack of employment opportunities, the lack of voice
and the lack of recreational activities as the most relevant causes for frus-
tration, it is clear that young people feel undervalued and excluded from
various parts of society.
Despite their challenges, young people in Somalia still have hopes and
aspirations for the future, indicating the importance of giving them voice in
their society and according them a role in peace building.
Youth frustration and underlying causes
Youth are lured
to leave the country
Youth are
forced to
engage in
violence
Youth as victims
and perpetrators
of conflict
Greed motive for youth
engagement in violence
Source:
UNDP 2012e.
Youth exclusion
5
South Central
Puntland
Somaliland
Young women face more
exclusion than young men
Lack of self-esteem
Lack of family support
5
South Central
Puntland
Somaliland
Poor governance
and justice
4
3
2
1
0
4
3
2
Mismatch
between skills
and job demand
Feelings of
humiliation
1
0
Lack of
employable skills
No outlet for youth
to express needs
and aspirations
Much grievance
among youth
Drug abuse
Lack of employment
opportunities
No outlet to express
aspirations and needs
Inadequate
recreational facilities
Young people are at particular risk of being
coerced or manipulated into criminal activ-
ity by gangs and criminal groups managed by
adults. In environments with high youth un-
employment, gangs offer an occupation, a sense
of identity and belonging and a platform to
protest against society.
Adulthood and work—more
than just money
Adults are expected to provide for themselves
and their families through paid and unpaid
labour. Those with jobs are often considered less
vulnerable. Yet many are exposed to precarious
employment or unemployment. In 2012 more
than 200 million adults worldwide were unem-
ployed. Vulnerable employment accounts for
more than half of total employment and is par-
ticularly high in South-East Asia (61 percent),
South Asia (77  percent) and Sub- Saharan
Africa (77  percent).
67
Even those employed
may be earning very little. In 2011, 397 million
people ages 15 and older were estimated to be
employed but living in households with less
than $1.25 per person a day. The regions with
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FIGURE 3.6
In Latin America and the Caribbean homicide rates for men, highest for men ages 15–29, tend to decline with age, whereas the much lower
rates for woman remain largely unchanged
Share of deaths
20
due to homicide,
1996–2009 (%)
15
Men
Women
10
5
0
0
1–4
5–9 10–14 15–19 20–24 25–29 30–34 35–39 40–44 45–49 50–54 55–59 60–64 65–69 70–74 75–79 80–84 85 or
older
Age
Source:
UNDP 2013b.
the highest rate of these working poor as share
of total employment are South Asia (25.7 per-
cent) and Sub-Saharan Africa (41.7 percent).
68
Work provides more than wages.
Employment, especially decent employment,
is associated with dignity and status—and
with stable and cohesive communities and
societies. Stable employment brings benefits
for society—enabling the workforce to retain
experience, knowledge and productivity, thus
enhancing economic performance.
69
Full em-
ployment also contributes to social cohesion,
particularly by improving the well-being of
girls. Increased employment of women helps
change perceptions of the ‘value’ of girls and
encourages investment in their education and
health. It also helps reduce poverty.
The recent economic crisis led to relatively
long unemployment spells for many workers.
Since the last quarter of 2007 in a majority of
42 countries with data, a high proportion of
unemployed were out of work for 12 months
66 | HUMAN DEVELOPMENT REPORT
2014
or more.
70
Even if economic downturns are
short, individuals can be subject to ‘scarring’,
with lasting negative consequences. In devel-
oped countries a loss of employment results in
a 10–25 percent reduction in earnings, and this
decline can last 5–20 years.
71
Large losses of
earnings from an unexpected job displacement
have also been found in developing countries,
72
where economic crises have large negative ef-
fects on earnings, household consumption and
poverty.
73
The lack of a decent job can have serious
consequences beyond the loss in income. The
stresses of layoffs and episodes of unemploy-
ment can reduce life expectancy as a result
of health problems such as strokes or heart
attacks.
74
Bouts of unemployment are also
associated with high rates of depression and
alcoholism.
75
And there is a gender bias. In the
United Kingdom women ages 60 and older are
more likely than men of the same age to have a
low income, and women who have had lower
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SPECIAL CONTRIBUTION
Valuing the dignity of work
Dr. Juan Somavia, former Director General of the International Labour Organization
In today’s world defending the dignity of work is a constant uphill struggle.
Prevailing economic thinking sees work as a cost of production, which in a
global economy has to be as low as possible in order to be competitive. It
sees workers as consumers who because of their relative low wages need
to be given easy access to credit to stimulate consumption and wind up with
incredible debts. Nowhere in sight is the societal significance of work as a
foundation of personal dignity, as a source of stability and development of
families or as a contribution to communities at peace. This is the meaning
of ‘decent work’. It is an effort at reminding ourselves that we are talking
about policies that deal with the life of human beings not just bottom line
issues. It is the reason why the International Labour Organization constitu-
tion tells us “Labour is not a commodity.”
1
And we know that the quality of
work defines in so many ways the quality of a society. So we must begin
by helping the working poor step out of poverty and informality into quality
livelihoods, self-employment or a formal job. And that’s what our policies
should be about: keeping people moving into progressively better jobs with
living wages, respect for worker rights, nondiscrimination and gender equal-
ity, facilitating workers organization and collective bargaining, universal so-
cial protection, adequate pensions and access to health care. This is what
millions of human beings are telling us worldwide: “Give me a fair chance
at a decent job and I’ll do the rest; I don’t want charity or handouts.” It
will take longer and require different emphasis in developing and developed
countries, but all societies face decent work challenges, particularly in the
midst of the global crisis that still haunts us.
Why is this so difficult? There are many converging historical and policy
explanations, but there is a solid underlying fact: in the values of today’s
world, capital is more important than labour. The signs have been all over the
place—from the unacceptable growth of inequality to the shrinking share of
wages in GDP. We must all reflect on the implications for social peace and
political stability, including those benefitting from their present advantage.
Pope John Paul II reminded us “All must work so that the economic system
in which we live does not upset the fundamental order of the priority of work
over capital, of the common good over the private interest.” As Gandhi said,
“There is enough for everybody’s needs, not for everybody’s greed.”
But things are changing. Many emerging and developing countries have
shown great policy autonomy in defining their crisis responses, guided by a
keen eye on employment and social protection, as this Report advocates.
Policies leading to the crisis overvalued the capacity of markets to self-
regulate; undervalued the role of the State, public policy and regulations
and devalued respect for the environment, the dignity of work and the social
Notes
1. ILO 2010a. 2. UN 2005.
services and welfare functions in society. They led into a pattern of unsus-
tainable, inefficient and unfair growth. We have slowly begun to close this
policy cycle, but we don’t have a ready-made alternative prepared to take its
place. We are moving into a rather lengthy period of uncertainty with no ob-
vious source of global policy leadership: A period more of muddling through
than forceful global decision making. This is an extraordinary political op-
portunity and intellectual challenge for the United Nations System. Coming
together around a creative post-2015 global vision with clear Sustainable
Development Goals can be a first step into a new policy cycle looking at
what a post-crisis world should look like. And beyond the United Nations,
we need to listen. There is great disquiet and insecurity in too many societ-
ies. From polls and elections to people in the streets and increasingly vocal
social movements a clear message to governmental and business leaders is
coming through: “Your policies are not working for a great majority of us.”
And that’s why the insistence of this Report on reclaiming the role of
full employment, universal social protection and the road to decent work
is so important. It builds on the existing consensus of the largest meeting
of Heads of State and Government in the history of the United Nations. In
their 2005 Summit they stated that “We strongly support fair globalization
and resolve to make the goals of full and productive employment and decent
work for all, including for women and young people, a central objective of
our relevant national and international policies as well as our national de-
velopment strategies.”
2
So, at least on paper, the commitment is there in no
uncertain terms.
Let me finish with one example of the changes necessary for which I
believe there is widespread consensus. Strong real economy investments,
large and small, with their important job-creating capacity must displace
financial operations from the driver’s seat of the global economy. The ex-
pansion of short-term profits in financial markets, with little employment to
show for it, has channelled away resources from the longer term horizon of
sustainable real economy enterprises. The world is awash in liquidity that
needs to become productive investments through a regulatory framework
ensuring that financial institutions fulfil their original role of channelling
savings into the real economy. Also, expanding wage participation in GDP
within reasonable inflation rates will increase real demand and serve as a
source of sustainable development growth. Moving from committed mini-
mum wage policies to a much fairer distribution of productivity gains and
profits should be a point of departure.
Dreams or potential reality? We shall see, but no doubt this is what
politics and social struggles will be all about in the years to come.
status or part-time work generally get a lower
occupational pension.
76
Many of the working poor are in non-
standard employment—involuntary part-time
and temporary work in advanced countries and
informal employment in developing countries.
Ideally, employment rates rise, and the inci-
dence of nonstandard employment falls over
time (see the category 1 countries in figure 3.7).
However, the majority of countries with data
saw unemployment and nonstandard employ-
ment both increase between 2007 and 2010
77
(see the category 4 countries in figure 3.7).
78
Informal employment, a particular chal-
lenge for developing countries, accounts for
more than 40 percent of total employment in
Chapter 3
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FIGURE 3.7
For most countries with data nonstandard employment increased between 2007 and 2010, while overall employment fell
Category 1:
higher employment and lower incidence
of nonstandard work
Paraguay
Uruguay
Chile
Colombia
Indonesia
Poland
Brazil
0.4
Germany
0.2
Belgium Austria
-0.4
-0.2
Thailand
Luxembourg
Malta
0.6
Ukraine
Turkey
Category 2:
higher employment and higher
incidence of nonstandard work
Peru
-0.8
-0.6
0
0.2
0.4
0.6
Argentina
Venezuela (Bolivarian Republic of)
Russian Federation
Romania
-0.2
France
Mexico
Sri Lanka
Republic of Korea
Czech
Republic
Japan
Cyprus Italy
-0.4
Netherlands
Canada
Sweden
Slovakia
Norway
United Hungary
Greece Kingdom
Slovenia
Bulgaria
Finland
Portugal
-0.6
Denmark India
Ecuador
Spain
-0.8
Lithuania
Estonia
0.8
Change in
employment
1.0
rate (%)
South Africa
Moldova
Category 4:
lower employment and higher
incidence of nonstandard work
Latvia
Ireland
Category 3:
lower employment and lower
incidence of nonstandard work
Change in nonstandard
employment share (%)
Source:
ILO 2012c.
two-thirds of the 41 emerging and developing
countries with data.
79
Definitions vary widely,
but informal employment generally lacks so-
cial, legal or regulatory protection.
80
Those in
informal employment earn less on average than
those in formal jobs do.
81
The vulnerabilities of those in informal em-
ployment go beyond low and volatile earnings.
The ability to cope with adverse shocks is com-
promised by the lack of formal social protec-
tion, and vulnerabilities are compounded when
individuals working informally face harassment
by public authorities. Many in part-time or
temporary jobs face similar problems: They
may not have the same protections or benefits,
such as health insurance, as permanent full-
time employees.
Nearly half the world’s workers are in vul-
nerable employment, trapped in insecure jobs
usually outside the jurisdiction of labour legis-
lation and social protection. Over the years, in
response to economic volatility and repeated
68 | HUMAN DEVELOPMENT REPORT
2014
crises, employers are increasing their reliance
on part-time or temporary employment.
82
Among developing regions the share of vulner-
able employment is highest in South Asia and
Sub-Saharan Africa (77.5 percent in 2011).
83
When one household member loses a job, the
others may try to compensate.
84
In some cases,
if a male worker loses his job, more women may
seek work to make up for this. But during an
economic downturn women may withdraw
from the labour force. And when a crisis
squeezes household resources, women are likely
to increase their time spent in unpaid work.
85
Increases in women’s labour force participation
may intensify conflicts within the household:
Women who enter paid work can experience
more domestic violence.
86
When adults lose their jobs, children are
also affected.
87
In developing countries adverse
economic conditions can reduce school enrol-
ment rates by up to 12 percentage points.
88
In
addition, children may leave school in order to
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work—eroding their chances of escaping pov-
erty in the future.
Better employment outcomes generate social
benefits that extend beyond the individual.
89
Societies in which everyone has access to employ-
ment opportunities that meet a basic standard
of decency tend to have fewer conflicts, stronger
social networks and a greater sense of fairness
and justice.
90
These outcomes affect the degree
of social cohesion within a country and tend
to make institutions function better—creating
an environment that supports human devel-
opment. There are also implications for social
expenditure, as public health expenditures may
increase following large episodes of job loss.
91
Ageing with dignity—an
elusive reality for many
The global population of people ages 60
and older is more than 500  million (close to
FIGURE 3.8
8  percent of the total). Europe and Central
Asia has the highest share of older people in the
total population among developing country
regions (11.4 percent; figure 3.8). By 2050 the
share of older people in the total population is
expected to double to 15.5  percent, with the
largest increase in East Asia and the Pacific
(from 7.4 percent in 2010 to 22.2 percent in
2050). By 2050 only Sub-Saharan Africa is
expected to have a share of older people below
5 percent.
92
Poverty and social exclusion are problems
for those who are ageing, especially because
roughly 80  percent of the world’s older pop-
ulation does not have a pension and relies on
labour and family for income.
93
And as people
age, they generally become physically, mentally
and economically more vulnerable.
94
Poverty
in old age is more often chronic, since the lack
of economic opportunities and security during
earlier life accumulates into vulnerability in
Better employment
outcomes generate social
benefits that extend
beyond the individual
By 2050 the share of people ages 60 and older in the world’s population is expected to double to
15.5 percent, with the largest increase in East Asia and the Pacific
Share of
25
population
ages 60
and older
in total
20
population
(%)
15
1970
2010
2050
10
5
0
Arab States
East Asia
and the Pacific
Europe
and Central Asia
Latin America
and the
Caribbean
South Asia
Sub-Saharan
Africa
World
Source:
Human Development Report Office calculations based on Lutz and KC (2013).
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Poverty in old age
has a strong gender
dimension
old age. The cumulative disadvantages during
younger life also imply the transfer of poverty
from one generation to another. For example,
in Bangladesh nearly a third of the general
population lives in a household with an older
person, while many more people in other
households are part of a network of support to,
and from, older people.
95
Low income is not the only thing that
increases vulnerability among older people;
additional disadvantages can compound their
inability to cope, as when a loss of income is
accompanied by illness and disability that de-
plete financial resources. Reduced capacity to
earn a personal income and contribute to the
household income—even indirectly—has clear
implications for the dignity and empowerment
of older people within the family. Even when
older people are supported by their families
with food and shelter, the fact that they do not
have their own resources may affect their auton-
omy and capacity to exercise choice and lead to
them to be seen potentially as a burden.
96
Untimely death of a partner, inadequate
access to affordable physical and health care,
exclusion from participation in society, home-
lessness, loss of autonomy, institutionalization,
lack of social contacts and loneliness—all add
to the vulnerabilities of older people. They may
also face a restricted social and physical envi-
ronment, which when combined with dimin-
ished personal capabilities can hold back older
people from taking advantage of opportunities
available to them and from being resilient to
threats that affect them.
Poverty in old age has a strong gender dimen-
sion. Women’s life expectancy is longer than
men’s, so women may spend more time in pov-
erty than men. Women are more likely to lose
their partner and less likely to remarry. Lower
education and the need to combine work with
childcare means that women are more likely
to work in the informal sector. Older women,
especially widows and those without children,
are particularly vulnerable, both economi-
cally and socially.
97
They may be subject to
vilification and abuse and live in conditions of
abandonment.
98
Most older people and people living in
households with an older person face higher
poverty rates. In Organisation for Economic
Co-operation and Development countries the
old-age poverty rate is higher than the average
for the whole population (13.5 percent versus
10.6  percent),
99
and older women are more
likely than older men to be poor (figure 3.9).
The situation is similar in many developing
countries. In the Dominican Republic, El
Salvador, Guatemala, Honduras and Paraguay
more than 40 percent of the population ages 60
and older is poor.
100
With ageing comes a higher probability of
living with a disability. Worldwide, more than
46 percent of people ages 60 and older live with
a disability,
101
and whether living with a disabil-
ity or not, 15–30 percent of older people live
alone or with no adult of working age.
102
Abuse
of older people is quite extensive. A 2011–2012
survey of 36 countries found that 43 percent of
older people fear violence and mistreatment.
103
Older people are also major caregivers to their
partners and grandchildren, and increasingly to
their parents too. Particularly in countries with
a high prevalence of HIV/AIDS, grandparents
are usually the ones caring for AIDS orphans.
104
The situation is similar for migrants. Some
69 percent of Bolivian migrants who moved to
Spain left their children at home, usually with
grandparents. In rural China grandparents care
for 38 percent of children under age 5 whose
parents have gone to work in cities.
105
Structural vulnerabilities
Where social and legal institutions, power
structures, political spaces, or traditions and
sociocultural norms do not serve members of
society equally—and where they create struc-
tural barriers for some people and groups to
exercise their rights and choices—they give
rise to structural vulnerabilities. Structural
vulnerabilities are often manifested through
deep inequalities and widespread poverty,
which are associated with horizontal or group
inequalities based on socially recognized and
constructed group membership.
106
Structural
vulnerabilities are perpetuated by exclusion,
low human development and people’s position
in society, reducing their ability to cope with
downside risks and shocks.
The poor, women, minorities (ethnic, lin-
guistic, religious, migrant or sexual), indige-
nous peoples, people in rural or remote areas
70 | HUMAN DEVELOPMENT REPORT
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or living with disabilities, and countries land-
locked or with limited natural resources tend
to face higher barriers, sometimes of a legal
nature, to build capabilities, exercise choices
and claim their rights to support and protec-
tion in the event of shocks. And even if laws
do not explicitly discriminate, the absence of
effective policies can leave people excluded and
vulnerable. Group (or horizontal) inequalities
and exclusion limit the political influence of
some groups, even if they are the majority of
the population, as with the poor. Horizontal
inequalities can lead to elite capture of policies
that favour certain groups and not society as a
whole.
107
This magnifies vulnerabilities for the
excluded by limiting the quantity and quality
of public services they receive.
Some groups may also be more exposed to
certain risks and have less capability and intrin-
sic ability to cope with shocks. The exposure
of some groups and the way society treats their
inherent characteristics produce adverse out-
comes.
108
Shocks also create new vulnerabilities
or new groups of vulnerable people. For exam-
ple, about 200,000 people are expected to live
with a long-term disability as a result of injuries
sustained during the January 2010 earthquake
in Haiti.
109
It can be argued that it was not
the earthquake itself that affected such a huge
amount of people; it was its interaction with
the country’s vulnerability.
110
FIGURE 3.9
In Organisation for Economic Co-operation and Development countries the poverty
rate tends to be higher for older people than for the population as a whole and higher
for older women than for older men
Old age
poverty rate
(%)
40
Old more likely
to be poor
Republic of Korea
30
Ireland
Mexico
Australia
Greece Spain
20
Switzerland
Japan United States
10
0
0
Portugal
Turkey
Belgium Italy
Finland
United Kingdom
Denmark
Norway
France
Germany
Austria
Sweden
Slovak Republic
Iceland
Canada Poland
Hungary
Luxembourg
Netherlands
Czech Republic
New Zealand
Old less likely
to be poor
20
30
40
50
10
Poverty rate of women (%)
Poverty
rate of men
(%)
40
Men more likely
to be poor
Republic of Korea
Poverty and vulnerability
Although linked and often mutually reinforc-
ing, poverty and vulnerability are not synony-
mous. People who are poor are more vulnerable
than others in society because for the most part
the risk of adverse shocks is greater for the poor
than for others, as is well documented for envi-
ronmental shocks.
111
Some 1.2  billion people live on less than
$1.25 a day, and 2.7  billion live on less than
$2.50 a day (figure 3.10).
112
Moreover, 1.5 bil-
lion people live in multidimensional poverty,
and almost 0.8 billion live in near-poverty,
113
so
some 2.2 billion live with two or more critical
deprivations. These numbers are declining, but
many people live just above the poverty thresh-
old. So, idiosyncratic or generalized shocks
could easily push them back into poverty. The
share of people just above the poverty threshold
30
Mexico
Australia
Ireland
20
Portugal
Turkey
Belgium
Denmark Italy
Switzerland
Greece
Spain
Japan United
States
10
France United Kingdom
Iceland
Luxembourg
Sweden Germany Finland
Austria
Canada
Czech Republic
Norway
Poland
Slovak Republic
New Zealand
Hungary
0
Netherlands
Women more likely
to be poor
20
30
40
50
0
10
Poverty rate of women (%)
Note:
Data are for 2008.
Source:
OECD 2011b.
Chapter 3
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FIGURE 3.10
Some 1.2 billion people live on less than $1.25 a day, and 1.5 billion people live in multidimensional poverty
Income poverty
Multidimensional poverty
55.4%
Population
(billions)
3
49.7%
2.5
Near
poverty
cutoff
2
Poverty
cutoff
3.33
2
29.2%
21.9%
1
15.5%
0.5
1.5
28.4%
0
$2.50
and more
a day
$1.25 - $2.50 Less than $1.25
a day
a day
Not multi-
dimesionally
poor
Near multi-
dimesionally
poor
Multi-
dimesionally
poor
0
1
2
3
4
5
6
7
8
9
10
Multidimensional
Poverty Index
Source:
Multidimensional poverty, Human Development Report Office calculations based on various household surveys, including ICF Macro Demographic and Health
Surveys, United Nations Children’s Fund Multiple Indicator Cluster Surveys and several national household surveys; income poverty, Human Development Report Office
calculations based on data from the World Bank’s World Development Indicators database.
(either income or multidimensional) is largest
in South Asia, Sub-Saharan Africa, and East
Asia and the Pacific (table 3.1).
Multidimensional poverty has a strong
geographical component, since it tends to
be highest in rural areas. In Somalia it affects
60 percent of the population in urban house-
holds and over 95 percent of the population
in rural households. In Burkina Faso 43 per-
cent and 94 percent, in Niger 56 percent and
96  percent and in Ethiopia 54  percent and
96 percent.
In many countries multidimensional poverty
is also more likely among female-headed house-
holds and those that include a person age 60 or
older. Another important factor is the presence
of young children. In Bolivia, for example,
the overall proportion of the population in
multidimensional poverty is 12  percent, but
in households with at least one child under age
5 it is 34 percent. The corresponding propor-
tions are 21 percent and 42 percent in Ghana,
72 | HUMAN DEVELOPMENT REPORT
2014
7 percent and 19 percent in Peru and 4 percent
and 11 percent in the Syrian Arab Republic.
Vulnerability increases when poverty inter-
acts with other household conditions.
114
Poor
people are more likely to live in areas vulnera-
ble to the impacts of climate change, whether
in low-lying coastal regions at greatest risk of
inundation from rising sea levels or on marginal
land subject to increasing dryness and drought
from climate change.
115
Poor people are vulnerable since they general-
ly lack access to savings, borrowed funds or oth-
er assets they can draw on to meet unforeseen
contingencies. Faced with a job loss or other
income shock, they resort to more harmful
coping strategies such as cutting back on food or
reducing spending on health or children’s educa-
tion.
116
Even with a higher income, households
may not be or even feel much less vulnerable,
and despite progress over recent decades in both
developed and developing countries, individuals
feel economically less secure.
117
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TABLE 3.1
Income and multidimensional poverty, by region
Income
Number of
poverty
countries headcount
in sample
(%)
10
11
15
20
8
40
6.5
12.7
1.4
5.7
30.6
50.9
Near
income
poverty
(%)
36.4
25.1
6.0
7.0
44.4
27.8
Multidimensional
Near multi-
poverty
Intensity of dimensional
headcount
deprivation
poverty
(%)
(%)
(%)
15.5
6.4
1.8
6.7
53.4
59.6
48.4
44.7
37.3
42.8
50.8
55.0
8.7
16.2
4.5
9.5
17.9
16.2
Region
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the
Caribbean
South Asia
Sub-Saharan Africa
Number of
countries
in sample
9
10
15
14
7
36
Source:
Multidimensional poverty, Human Development Report Office calculations based on various household surveys, including ICF Macro Demographic and Health
Surveys, United Nations Children’s Fund Multiple Indicator Cluster Surveys and several national household surveys; income poverty, Human Development Report Office
calculations based on data from the World Bank’s World Development Indicators database.
Recent austerity measures have increased
poverty in more than half of European coun-
tries, and the groups most at risk are children,
immigrants and people from a migrant back-
ground, ethnic minorities and people with
disabilities.
118
The impacts of natural disasters are dispro-
portionately high among lower income groups,
older people and people with disabilities.
During the 2005 Mumbai floods the poorest
households were the most vulnerable. Though
the losses may not appear large in absolute
terms, the average loss incurred by households
roughly equalled the average household’s sav-
ings. The ability to recover and reconstruct in
the aftermath of the floods was impaired by
the depletion of household savings and loss of
household assets.
119
The 2001 earthquakes in
El Salvador reduced the income per capita of
the most affected households by a third.
120
In
Bangladesh, in major flooding events in certain
years, up to 7.5 million hectares of crops were
damaged, hurting mostly the poor.
121
During and after disasters children from
poor households are particularly vulnerable to
malnutrition and other long-term consequenc-
es. The 1982–1984 drought in Zimbabwe
increased the probability of child stunting and
delayed the school enrolment of children by an
average of 3.7 months, which worsened their
performance at school up to 16 years after the
disaster. In Ethiopia between 2002 and 2006,
90  percent of the households in the poorest
income quintile experienced at least one risk of
shocks to adverse events, while many reported
multiple risks, with an average of 4.2  risks
per household.
122
Family responses to shocks
include eating less, reducing household assets
and accumulating debt, all likely to have long-
term consequences for children’s development.
Income shocks have major impacts on the
school attendance and performance of children
from poor households.
123
The effect of disasters on people and com-
munities is conditioned not only by their
capabilities and competences, but also by their
asset base—their financial and natural capital.
For example, considerable degradation of the
ecosystem could threaten the livelihoods of
the rural communities that depend directly on
natural resources: access to marine biodiversity,
nontimber forest products and small-scale or
subsistence crop and stock farming. How vul-
nerable these communities are is determined
by the condition of the natural resource base
for current and alternative economic activities,
the regimes for managing those resources and
how close natural ecosystems are to tipping
points past which productivity can no longer
be restored. Environmental degradation and
natural resource impoverishment are major
threats. In 2011 agricultural workers account-
ed for 40 percent of the world’s economically
active population, 60 percent of them in low
Human Development Index countries. Two-
thirds of the extreme poor are in rural areas,
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their livelihoods heavily dependent on agricul-
ture and natural resources. Land degradation
and water scarcity are major concerns. By 2025
water scarcity is expected to affect more than
1.8 billion people—hurting agricultural work-
ers and poor farmers the most.
124
Gender
Globally, women suffer the most pervasive
discrimination. Legal systems emerge from
rich and diverse cultural traditions, but in some
countries customary and religious laws prevail
over civil laws that might protect women’s
human rights. Laws can explicitly discriminate
against women in matters of family, marriage,
economic rights and violence (figure 3.11).
They may also limit women’s rights to land
ownership and require spousal consent for
women’s access to contraception and family
planning.
Women may also face discrimination from
social institutions—such as early marriage,
discriminatory inheritance practices, higher
burdens of unpaid care work, violence against
women (box 3.3), son preference and restric-
tions on access to public space and produc-
tive resources. Infringing on women’s rights,
FIGURE 3.11
discrimination from social institutions also
leads to poorer human development outcomes.
Primary school completion averaged more than
15  percent lower in the 21 countries where
social institutions were deemed the most dis-
criminatory against women than in other de-
veloping countries, and child malnutrition rates
and maternal mortality ratios were twice as
high.
125
The number of malnourished children
averages 60 percent higher in countries where
women do not have the right to own land and
85 percent higher in countries where women
lack any access to credit. Maternal mortality ra-
tios are also generally higher in countries where
women have less control over their physical
integrity.
Economic downturns are associated with a
nearly fivefold increase in female infant mortal-
ity compared with male infant mortality.
126
The
recent global economic crisis has resulted in
an estimated 30,000–50,000 additional infant
deaths in Sub-Saharan Africa, mostly among
the poor and overwhelmingly female.
127
In most countries women are free to engage
in political activity, but in only two, Cuba and
Rwanda, does the share of women in parliament
match or exceed their share in the population.
In Rwanda’s 2013 parliamentary election 51 of
Several countries have laws that discriminate against women in family, economic activities, violence and other matters
Subject
Child custody
Divorce/separation
Marriage and family
Marriage age
Polygamy
Others
Family/marriage
Subject
Nationality
Citizenship
Burial
Personal status
Others
Other areas
Subject
Marital property
Land/property rights
Employment/labour
Government employment
Inheritance
Others
Economic/employment
Subject
Rape
Marital rape
Violence against women
Others
Violence
0
5
10
15
20
25
30
35
0
5
10
15
20
25
30
35
Number of countries
Source:
Equality Now 2011.
Number of countries
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BOX 3.3
Violence against women
Events in 2012 and 2013 drew global media attention to the epidemic propor-
tions of violence against women. Malala Yousafzai was shot by the Taliban in
Pakistan, a young student was fatally gang-raped in India and there were re-
ports of rape and other sexual harassment of women at Tahrir Square in Cairo.
These events are reminders that structural violence against women remains
endemic across the world and poses huge challenges to women’s participation
in societal life and to community safety and security more broadly.
About a third of women worldwide will experience sexual or other
physical violence in their lifetime, primarily by an intimate partner (who will
also be responsible for nearly 40 percent of all femicides—this may extend
to honour and dowry-related killings),
1
described as structural ‘relational
vulnerabilities’ embedded within specific categories of social relations.
2
A
recent World Health Organization analysis suggests that 7.2 percent of the
world’s women—or 1 in 14—is subjected to nonpartner sexual violence.
3
Gallup data from surveys in 143 countries in 2011 suggest a gender-
based fear of violence. Women not only felt less safe than men in every coun-
try, but the gender gap in perception of threats did not correspond to income:
Double-digit gaps were found in many middle- and high-income countries.
4
Correlation between intimate partner violence and poverty is strong and
positive, and there are regional patterns in prevalence. Women in Africa are
almost twice as likely to experience violence as women in low- and middle-
income Europe. In South-East Asia women are almost eight times more likely
to experience violence by a current or former partner than by someone else.
Public campaigns and mobilization have led to changes in civil and crimi-
nal justice, with legislation and judicial rulings that assert women’s protection.
Many countries have legal and other resources to support victims and their
children and have passed civil remedies including restraining order legislation
to protect partners against their abusers. But changes to social norms and the
law are often incremental and hard fought. The amendments to the Criminal
Law in India following recent rape cases
5
do not criminalize marital rape,
6
highlighting both the scope and limits of law as an agent of social change.
Violence affects women’s ability to participate in economic activity out-
side the home. In Mexico the primary reason women dropped out of the labour
force was threats and violence by disapproving husbands.
7
In India actual or
threatened violence by husbands prevents many women from participating in
meetings of self-help groups.
8
Interventions that emphasize social norms (ac-
ceptance of gender violence) and reduction of psychosocial barriers (shame,
guilt, resentment and prejudice) can reduce violence against women and more
broadly increase women’s empowerment. An example is Yo quiero, Yo puedo
(I want to, I can) in Mexico, Focusing on individuals as the starting point, the
programme increases its ownership and sustainability by conceiving personal
agency and intrinsic empowerment as both a process and a state.
Less attention has been devoted to the intangible impacts on women’s
freedom of movement, emotional well-being and capacity for imagination
and thought, all key dimensions of human capability.
9
Along with the assault
on the personhood, dignity and sense of worth that all violence inflicts on
its victims, the consequences of violence against women also reflect its sys-
temic character—that it is not randomly distributed across the population
but directed at a particular group by virtue of their identity as a subordinate
group. As Iris Marion Young puts it, “The oppression of violence consists not
only in direct victimization but in the daily knowledge shared by all members
of the oppressed group that they are liable to violation, solely on account of
their group identity. Just living under the threat of attack . . . deprives the
oppressed of freedom and dignity, and needlessly expends their energy.”
10
Notes
1. WHO 2013. 2. Kabeer, Mumtaz and Sayeed 2010. 3. WHO 2013. 4. Gallup 2013. 5. Parliament of India Rajya Sabha 2013. 6. Harvard Law and Policy Review 2013. 7. Funk, Lang and Osterhaus 2005. 8. Sen 1998; Kabeer and
others 2012. 9. Nussbaum 2005. 10. Young 1990, p. 62.
Source:
Chalabi and Holder 2013; Kabeer 2014; Pick and Sirkin 2010.
80 seats (64 percent) were filled by women.
128
But in about 60 percent of countries with data,
women account for less than 20  percent of
parliamentary seats. Better representation of
women in political life can greatly improve the
position of women generally. Rwanda now has
some of the most progressive laws in Africa to
empower women and protect them from vio-
lence. Laws and policies alone are insufficient
to eradicate discrimination, but they can be
important first steps.
Natural disasters and climate change often
heighten inequality and discrimination, in-
cluding those that are gender-based.
129
But
women’s empowerment and agency can reduce
such vulnerabilities. For example, three weeks
after the 2004 Indian Ocean tsunami, a group
of poor female villagers who survived the 1993
and 2001 earthquakes in Latur (Maharashtra)
and Kutch (Gujarat) actively supported the
recovery efforts by travelling to Tamil Nadu to
show their solidarity with women like them-
selves and sustain the rehabilitation process.
130
Ethnic groups and minorities
Indigenous peoples constitute around 5  per-
cent of the world’s population but account for
15 percent of the world’s income poor and for
more than 30 percent of the world’s extremely
poor in rural areas.
131
They tend to have poor
educational attainment, unequal opportunities
and unequal access to land and other produc-
tive assets.
132
In Latin America the average in-
come of indigenous workers is about half that
of nonindigenous workers.
133
In Europe one of the most vulnerable groups
is the Roma. In 2011 around 30  percent of
Chapter 3
Vulnerable people, vulnerable world
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Roma lived on less than $4.30 a day, compared
with 9  percent of the non-Roma population
(figure 3.12). Despite numerous national and
regional initiatives to improve their conditions,
they continue to suffer the effects of social ex-
clusion and the limited access to basic services
associated with it.
134
FIGURE 3.12
In 2011 poverty rates among Roma households were
much higher than among non-Roma households
Roma
Non-Roma
Disabilities
People living with disabilities face physical
barriers to claiming rights and exercising
choices. They often lack easy access to public
transportation, government offices and other
public spaces such as hospitals, making it more
difficult to participate in economic, social
and political life—or to seek assistance when
faced with threats to their physical well-being.
Particularly vulnerable among people with
disabilities are those in poverty. People with
disabilities are also more likely than the gener-
al population to be victims of violence.
135
And
they may be less able to work and so are gen-
erally poorer than the rest of the population.
Further, people with disabilities that impair
their ability to communicate are also more
likely to be victims of abuse, including that by
caregivers.
People with disabilities are particularly ex-
posed at times of natural disasters and violent
conflict. Cognitive, intellectual or physical
impairments can reduce their capacity to access
information or act on it.
136
They can be left be-
hind during evacuations or be turned away by
shelters and refugee camps on the grounds that
they might need complex medical care. The dis-
aster risk reduction community needs to widen
the participation of people with disabilities—
and address the environmental barriers and
constraints they face.
137
The vulnerabilities that disabilities generate
depend on other social, economic and demo-
graphic factors. For instance, people with dis-
abilities are also more likely to have less ability
to work and thus are poorer than their counter-
parts without disabilities. Indeed, people with
disabilities have lower employment rates.
138
Evidence from the World Health Survey for 51
countries shows employment rates of 52.8 per-
cent for men with disabilities and 19.6 percent
for women with disabilities, compared with
64.9 percent for men without disabilities and
30%
9%
Share of population with
income below PPP $4.30 a day (%)
Source:
Human Development Report Office calculations based on UNDP, World
Bank and EC (2011).
People with disabilities
are particularly exposed at
times of natural disasters
and violent conflict
29.9 percent for women without disabilities.
139
But addressing the barriers and vulnerabilities
of people with disabilities can unlock their po-
tential and benefit society as a whole.
Migrants
Most international migrants, who account for
over 3 percent of the world’s population, have
fewer rights and less protection, even when
they are documented, than citizens and have
less access to social protection.
140
Typically they
are excluded from social and public life and,
lacking voting rights, have little influence over
policies that affect them—even though they
might be contributing to the host country’s
economic progress. Their vulnerability over-
laps with other structural vulnerabilities. For
example, the number of women migrating is
increasing. Today women account for half the
international migrant population, reaching
70–80 percent in some countries, and they suf-
fer from a higher exposure to exploitation and
abuse in human trafficking.
141
Forced migration due to conflict is another
source of vulnerability, as the Syrian crisis
dramatically shows. Even though refugees are a
small part of the migrant population—around
10.5  million people in 2011—the armed
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SPECIAL CONTRIBUTION
Disability and vulnerability
Stephen Hawking, Director of Research at the Centre for Theoretical Cosmology, University of Cambridge
As a theoretical physicist I understand very well the concept of vulnerability:
there is little in the cosmos that is not susceptible to harm. Even the very
universe itself may someday come to an end.
Humanity has always been vulnerable to different challenges. And there
can be no doubt that great scientific discoveries—from penicillin to the pe-
riodic table, from evolution to electricity—have helped us to understand our
world, reduce our vulnerability, and build more resilient societies.
But, despite great and varied progress, vulnerable people and vulner-
able groups of people remain—none more so than the disabled. The United
Nations estimates that over a billion people live with some form of disability
and they are disproportionately represented among the world’s poorest and
at greater risk of suffering from violence, disaster, catastrophic health ex-
penses, and many other hardships.
The vast majority of people with disabilities have a hard time simply
surviving, let alone living lives they have reason to value, to use the lexicon
of human development. However, disability need not be an obstacle to suc-
cess. I have had motor neurone disease for nearly all my adult life, but it has
not prevented me from having a prominent career in theoretical physics and
a happy family life.
I realize of course that in many ways I have been fortunate. My success
in theoretical physics has ensured that I’ve been able to live a life I value.
I have benefited from first-class medical care. I can rely on a team of as-
sistants who enable me to live and work in comfort and dignity. My house
and workplace have been made accessible to me. Computer experts have
supported me with an assisted communication system and a speech synthe-
sizer, which allow me to compose lectures and papers and to communicate
with different audiences.
People with disabilities are vulnerable because of the many barriers we
face: attitudinal, physical, and financial. Addressing these barriers is within
our reach and we have a moral duty to do so. Beyond that moral duty we
would do well to remember the many other reasons to act. Legislation in-
troduced to assist the disabled today will benefit nearly everyone at some
point: almost all of us will be impaired at some time in life or care for some-
one who is. Inventions, such as optical character recognition and brain-
controlled technology, have many other benefits beyond helping people with
disabilities.
But most important, addressing these barriers will unlock the po-
tential of so many people with so much to contribute to the world.
Governments everywhere can no longer overlook the hundreds of millions
of people with disabilities who are denied access to health, rehabilita-
tion, support, education, and employment—and never get the chance to
shine.
conflict displaced around 5  million people
from the area (more than 255,000 of them
between December 2012 and January 2013
alone).
142
(box  3.4)—or on external economic events,
such as slumps in external demand and terms
of trade shocks.
Vulnerable countries and geography
Efforts to tackle the vulnerability of individu-
als and communities must bear in mind their
country’s vulnerability. A major rationale for
special treatment of countries is their structural
vulnerability, which depends on outside factors
not easily managed by domestic policy. For
example, the least developed countries have
been defined as poor countries suffering from
structural weaknesses to growth. They are more
likely than others to remain poor. Landlocked
developing countries and small island devel-
oping states are two other groups of countries
facing major structural challenges.
This Report discusses many of the structural
vulnerabilities countries face, including how
greater interconnectedness brings new vulner-
abilities. Most of the analysis and evidence on
country vulnerability concentrates on environ-
mental or natural disasters, such as earthquakes
or volcanic eruptions, and climatic shocks
Group violence and insecure lives
The 1994
Human Development Report (HDR)
introduced the concept of human security,
opening with the statement “The world can
never be at peace unless people have security
in their daily lives.”
143
Conceptions of security
require a view of the human person that in-
cludes physical and psychological vulnerability,
strengths and limitations, including limitations
in the perception of risk.
144
In 2000 about 4,400 people died every day
because of intentional acts of self-directed,
interpersonal or collective violence.
145
And
many thousands more are affected in some
way by acts of violence. In addition, huge costs
are incurred in treating victims, supporting
shattered families, repairing infrastructure and
prosecuting perpetrators and as a result of lost
productivity and investment.
146
People’s perceptions of threats offer feed-
back on policy efforts and shed light on the
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BOX 3.4
Disaster resilience—Japan’s experience
In the past five years alone the world has witnessed an earthquake in Haiti
(2010), a heat wave in the Northern Hemisphere (2010), a tsunami in Japan
(2011), a drought in East Africa (2011–2012) and a typhoon in the Philippines
(2013). These adverse natural events have caused large human casualties
and had considerable economic costs. Human development progress has
been weakened by these impacts and, in some cases, hard-won gains have
been reversed.
Japan is a disaster-prone country that can provide important insights
on disaster resilience. In 2011 a powerful earthquake off the east coast of
Japan triggered large tsunami waves that killed more than 15,000 people
and caused extensive damage to economic and social infrastructure. It also
led to a nuclear disaster in Fukushima. But despite the large loss of human
life and record financial costs—estimated at $210 billion—the impact could
have been dramatically worse. The Tohoku earthquake, estimated at magni-
tude 9.0, was the world’s fourth strongest since records began in 1900, and
the ensuing tsunami waves reached heights of up to 40 metres and travelled
up to 10 kilometres inland.
Japan’s early warning system prevented a much larger death toll. As
soon as seismic activity was detected, alerts were broadcast by television,
radio and mobile phone networks. This enabled many people to prepare and
mitigate the impact, such as moving to higher ground, while the country’s
rail network and factories quickly came to a halt—thus avoiding greater
damage. Emergency sirens, clearly marked evacuation routes and public ed-
ucation programmes were also critical in saving lives. Strict building codes
ensured that tall buildings withstood the earthquake, while forested green
belts and concrete barriers provided some protection against the tsunami.
Source:
UNISDR 2012a; Fraser and others 2012.
State institutions have traditionally engaged with local communities to
improve disaster preparedness and devise evacuation plans. Japan’s long-
standing investments in technology and public awareness were essential to
averting an even bigger disaster.
Even if debates in Japan about preparedness and recovery have been
critical, the case of Japan highlights that risk is inherently a development
concern and that comprehensive risk reduction and recovery must be inte-
gral components of overall governance. Early warning systems, evacuation
routes, strict building codes and engagement with local communities all
need to stem from institutional, legal and governance systems that prioritize
disaster risk reduction and recovery.
In March 2015 the third UN World Conference on Disaster Risk
Reduction will take place in Sendai, one of the cities affected by the 2011
Tohoku earthquake and tsunami. The conference will allow member states
to review the implementation of the Hyogo Framework for Action and adopt
a post-2015 framework for disaster risk reduction. The framework, a 10-year
plan to build the resilience of countries and communities to disasters agreed
at the 2005 World Conference on Disaster Reduction, has five key priorities
for action: make disaster risk reduction a priority, know the risks and take
action, build understanding and awareness, reduce risk, and be prepared
and ready to act.
Nonetheless, building disaster preparedness takes time, requiring sig-
nificant long-term investments in education, technology and infrastructure,
as well as adequate institutions and regulatory frameworks. Learning from
recent experiences with disasters will be crucial to build a forward-looking
global agenda that enables resilient and sustainable human development.
burden of fear in their lives.
147
The 2005 Costa
Rica
HDR
and 2013 Latin America
HDR
show how people’s lives are restricted as they
avoid going out at night or travelling due to
fear of violence.
148
The existence of gangs has
been found to correlate with lower support
for formal mechanisms of social control and
regulation, which further opens the way for
criminal groups to be the sole sources of pro-
tection.
149
Persistent horizontal inequality
experienced along political, economic and
social dimensions can create conditions that
promote acts of physical violence that threaten
human development for large numbers of peo-
ple, including some specific groups. Homicide
and armed violence occur most frequently in
poverty-stricken urban areas characterized by
lack of employment, poor standards of hous-
ing, overcrowding and low standards of educa-
tion and social amenities. Homicides are more
common in the poorer areas of cities with high
inequalities, ranging from New York City
78 | HUMAN DEVELOPMENT REPORT
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to Rio de Janeiro, and in the more unequal
American states and cities and Canadian prov-
inces. Research corroborates these connections
between violence and inequality.
150
However,
violence and crime are associated not only
with increases in inequality, but also with the
presence of firearms and drugs, seen to explain
some of the very high levels of violence in some
middle-income countries of South and Central
America, where inequality has been falling in
recent years.
As chapter 2 points out, violent conflict—
and mostly intrastate conflict as well as internal
civil unrest—continues to impose enormous
costs on development in affected countries.
A combination of causes can be identified for
these types of conflict. One common char-
acteristic is the fact that the causes—from
exclusionary policies and elite rent-seeking to
unaddressed social grievances—all contribute
to social discord or, at the very least, impede
the social harmony and cohesion conducive
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to resilient development outcomes, something
discussed more extensively in chapter 4.
A ‘socially cohesive’ society is one that works
towards the well-being of all its members, fights
exclusion and marginalization, creates a sense of
belonging, promotes trust and offers its mem-
bers the opportunity of upward mobility.
151
Lack of these attributes is often correlated with
conflict and violence, especially in situations
of unequal access to resources or benefits from
natural wealth, or with the inability to deal ef-
fectively with rapid social or economic change
or the impact of economic or climate-related
shocks.
Inequality in access to resources and out-
comes that coincides with cultural differences
can become mobilizing agents that end in a
range of political upheavals and disturbances.
This is not only because of the resentments of
the excluded and deprived. Unrest and conflict
can also erupt if the privileged take actions
to ensure that the underprivileged do not
make demands for more resources or political
power.
152
Almost all countries have groups that suffer
from social exclusion,
153
which occurs when
institutions systematically deny some groups
the resources and recognition that would en-
able them to fully participate in social life.
154
Horizontal inequality and social exclusion can
endure over long periods and may be associated
with denial of rights and unequal access to so-
cial services by some groups. In some cases the
persistent inequalities and prolonged depriva-
tions last centuries.
155
There is evidence of some correlation be-
tween group inequalities and violent conflict,
which becomes more likely when political and
socioeconomic and political inequalities are
reinforcing.
156
For example, the probability of
conflict rises significantly in countries with se-
vere economic and social horizontal inequality.
Similarly, violent conflict is more likely to oc-
cur when development is weaker and religious
polarization is greater.
157
While there are many
examples of peaceful multicultural societies,
cultural ties can be a powerful source of mo-
bilization and potential conflict when they
interact with strong economic and political
deprivations.
158
In addition, sharp increases in
group inequality raise the likelihood of tension
and conflict.
159
How governments respond to protests ex-
plains how social exclusion can induce some
groups to take to violence, even if they start as
peaceful protests. Peaceful protests in which
the state limits protesters’ space and protection
can either generate little change and more frus-
tration or face violent and exclusionary actions
by the state, unifying protesters and transform-
ing what were mainly peaceful protests into
violence.
Institutions, especially well functioning state
institutions, have an important function in
creating a cultural space where various groups
can exchange ideas peacefully and where people
can start to incorporate the views of others into
their own understanding of the world. This
could be very important for peaceful conflict
resolution, indicating a large role in violent
conflict prevention.
160
Inclusive and representative institutions can
reduce the potential for conflict, since they
can take action to counter exclusion, changing
practices in the way public goods and services
are delivered. Examples of policies to reduce
horizontal inequality include improving the
group ownership of land via redistribution of
government-owned land, forcible purchases
and restriction on ownership in Fiji, Namibia,
Malaysia and Zimbabwe. Other examples refer
to public sector employment quotas (India,
Malaysia and Sri Lanka and the requirement
for balanced employment in the private sector
in South Africa).
161
Armed conflict is an important vulnerability
for human development, for its aggregate ef-
fects not only on society but on some specific
groups. In Kashmir exposure to violence
in
utero
and in infancy was shown to have reduced
children’s height. Children in areas affected by
insurgency were 0.9–1.4 standard deviations
shorter than children less affected by insurgen-
cy. The effect was stronger for children born
during peaks in violence.
162
Conflicts also force people to flee their
homes and livelihoods. Women and children
account for 80 percent of the world’s refugees
and displaced persons.
163
Between 2012 and
2013 more than 1  million people fled their
countries of origin due to conflict and per-
secution, mainly from eastern Democratic
Republic of the Congo, Mali, Sudan and the
Syrian Arab Republic.
164
Altogether, the Office
Inequality in access to
resources and outcomes
that coincides with
cultural differences
can become mobilizing
agents that end in a range
of political upheavals
and disturbances
Chapter 3
Vulnerable people, vulnerable world
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of the United Nations High Commissioner for
Refugees records nearly 36 million people of
concern.
165
Deaths from cross-border wars have come
down markedly since a peak in 1995, to some
320,000 a year. Yet armed conflicts continue
to be a major impediment to human develop-
ment, especially for low Human Development
Index countries.
166
In 2012 there were 37,941
conflict-related deaths worldwide from
41  conflicts.
167
Conflicts disrupt essential
public services such as basic health care
168
and
education, doing permanent harm to people
throughout their lives, with lasting health
problems for entire generations of children in
conflict zones often held back from completing
primary school. In addition, violent conflict
can cause immense psychological distress.
169
Loss of family and community, loss of homes
and livelihoods, displacement and disruption
can have severe mental health consequences,
which affect many household decisions, in-
cluding migration.
170
In some conflicts civilians are targeted and
mutilated as a deliberate strategy to demoralize
communities and destroy their social struc-
tures; rape has been used as a deliberate weapon
as an act of humiliation and revenge against the
enemy as a whole.
171
For example, estimates of
the number of women raped during the conflict
in Bosnia-Herzegovina ranged from 10,000 to
60,000.
172
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“In a country well governed,
poverty is something to be
ashamed of. In a country
badly governed, wealth is
something to be ashamed of.”
Confucius principle
“It took me quite a long time to
develop a voice, and now that I
have it, I am not going to be silent.”
Madeleine Albright
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4.
Building resilience: expanded freedoms,
protected choices
This Report has discussed persistent threats to human development and the nature of vulnerability. It has also discussed
how individuals are more vulnerable during certain critical junctures in their lives than at other times and how social
contexts can render some individuals more vulnerable than others. Crises in the form of natural disasters and violent conflict
deplete the capacities and material assets of entire communities, rendering them even more vulnerable. Policies to reduce
vulnerability must account for these factors.
Enhancing resilience requires more than reduc-
ing vulnerability—it calls for empowerment
and for fewer restrictions on the exercise of
agency—the freedom to act. It also requires
strong social and state institutions that can
support people’s efforts to cope with adverse
events. Well-being is influenced greatly by the
context of the larger freedoms within which
people live. Societal norms and practices can be
prejudicial or discriminatory. So enhancing the
freedom to act requires addressing such norms
and transforming them.
Chapter 1 presented fundamental principles
that need to inform policy choices. Based on
these principles, this chapter highlights key
national policies that can reduce vulnerability
and enhance resilience—at both the individual
and society levels. By no means comprehensive,
these policies include universal provision of
basic services, addressing life cycle vulnerabili-
ties, promoting full employment, strengthening
social protection, addressing societal inclusion
and building capacity to prepare for and recov-
er from crises.
Several considerations underlie the focus
on these policies. First, each addresses vulner-
ability in multiple dimensions. For instance,
universal provision of basic social services can
promote opportunities across the board by
delinking basic entitlements from the ability to
pay for them. Similarly, high employment has
a large, positive impact on people’s well-being
while reducing violence and boosting social
cohesion.
Second, these policies are interconnect-
ed, with strong synergies among them.
Development pathways that are not informed
by voices of all stakeholders are neither desir-
able nor sustainable. But when societies create
space for all voices to be heard, policymakers
are more likely to be attentive to the concerns
and needs of minorities and other vulnerable
groups. And people can be both the agents and
the beneficiaries of progress. Such societies are
also more likely to attach a high priority to job
creation and universal social policy. Indeed, if
full employment expands the tax base, it also
creates greater fiscal space for providing quality
social services.
Third, these policies address vulnerability at
different points in an individual’s life cycle and
at different points in a country’s development
pathway. Well designed social services can en-
sure that children receive care and education
in the most critical phase of life and that older
people receive appropriate care when they need
it. Full employment policies smooth the critical
transition for young people from education to
employment. These policies also set up virtu-
ous cycles that sustain national development
pathways. Countries as diverse as the Republic
of Korea and Sweden have reaped the benefits
of an educated workforce on their path to
industrialization.
The types of policies discussed here are likely
to take time in building the resilience of people
and societies. Can specific actions in the short
run accelerate that resilience and protect future
choices and capabilities? Chapter 3 took the
position that a broad perspective is needed
in examining the drivers of vulnerability.
Inevitably, the response has to be across the
board and long in term. But short-term actions
can be better aligned with longer term needs.
Persistent shocks need determined public
policies over the long haul, but response systems
can facilitate better short-run adjustments to
adverse events in ways that protect choices and
Chapter 4
Building resilience: expanded freedoms, protected choices
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SPECIAL CONTRIBUTION
Broadening our thinking on vulnerability
The United Nations has long emphasized human security, in all of its dimen-
sions.
1
When I was chief economist of the World Bank, we surveyed thou-
sands of poor people throughout the world to ascertain what was of most
concern to them, and at the top of the list (along with the obvious concerns
about a lack of income and insufficient voice in the matters that affected
their lives) was insecurity—vulnerability.
2
At its basic level, vulnerability is defined as an exposure to a marked
decrease in standard of living. It is of special concern when it is prolonged,
and when standards of living fall below critical thresholds, to a point of
deprivation.
Economists’ traditional single-minded focus on GDP has led them to
lose sight of vulnerability. Individuals are risk-averse. The realization that
they are vulnerable thus leads to large welfare losses—even before they
face the consequences of a shock itself. The failure of our systems of met-
rics to adequately capture the importance of security to individual and soci-
etal well-being was a key criticism of GDP by the International Commission
on the Measurement of Economic Performance and Social Progress.
3
If we are to formulate policies to reduce vulnerability, it is essential to
take a broad view about what creates such vulnerability. Individuals and
societies are inevitably exposed to what economists call ‘shocks’, adverse
events that have the potential to lead to marked decreases in living stan-
dards. The larger the shocks, the greater their depth and duration, and the
greater vulnerability, other things equal. But individuals and societies devel-
op mechanisms for coping with shocks. Some societies and economies have
done a better job of enhancing the capacity to cope with shocks than others.
The greatest vulnerabilities arise in societies that have allowed themselves
to be exposed to large shocks, but have left large fractions of their popula-
tions without adequate mechanisms for coping.
Vicious spirals
When we think of vulnerability, we inevitability think of vicious downward
spirals. Robust systems have good shock absorbers: an individual experienc-
ing an adverse shock quickly recuperates. One of the functions of bankruptcy
laws is to give those with excessive debts a fresh start. It may not fully
solve a debtor’s problems, but at least it prevents the individual from be-
ing dragged down in a mountain of debt. Unfortunately, in many societies
around the world, large fractions of the population are still highly vulnerable,
highly exposed to these downward vicious spirals—and in some cases, mat-
ters are getting worse.
There are many channels for these downward spirals to operate.
Individuals with inadequate income are less likely to eat well, and that
means they are more likely to suffer from illness. But once sick, they cannot
afford adequate health care; and that means, in societies without adequate
public provision of medical services, an accident or illness can be the begin-
ning of the end. Without adequate health care, they are at risk of significant
diminution in earning power; reduced earnings lowers further their ability to
afford health care.
Recent research has shown how the mental energies of the poor are
disproportionately addressed to the here and now—the exigencies of sur-
vival. They can’t think strategically; they can’t plan for the long term. So, it
Joseph Stiglitz, Nobel Laureate in Economics
is no surprise that they fail to make decisions (including investments) that
might raise them out of poverty.
Economic vulnerabilities
Global attention is inevitably focused on those who suffer from a natural
disaster—from a tsunami, a flood or an earthquake. But economic disasters
are just as devastating as natural disasters.
Changes in the global economy in recent decades have created many
more vulnerabilities. The interlinks of banks and countries have increased
the probability of financial contagion, of the kind that occurred in the
financial crisis of 2008. These events showed how important regulations are
in finance—including circuit breakers and capital controls. The devastation
that the crisis wreaked on the global economy—shrinking economies and
plunging millions into poverty—underlines that these are not just questions
for the banking industry. They are important priorities for human develop-
ment more generally.
Not only have changes increased the exposure to risk, they have also re-
duced the mechanisms that societies use to help the most vulnerable cope.
This is especially true in developing countries, where strong social bonds
and family ties have traditionally been at the center of social protection. But
in many countries, these bonds have weakened faster than national public
systems of social protection have been put into place.
How policies have increased vulnerability
One of the central criticisms of Washington consensus policies is that they
systematically led to increases in vulnerability—both by increasing the
shocks to which individuals and economies were exposed and by reducing
the coping mechanisms. Policies such as capital market liberalization (as-
sociated with large fluctuations in flows of money in and out of countries)
exposed developing countries increasingly to shocks from abroad. Financial
market liberalization and deregulation led to greater domestic shocks—to
credit and asset bubbles that inevitably broke. Weakening of systems of
social protection simultaneously weakened automatic stabilizers, and some
financial policies led to automatic destabilizers—so that the effects of any
shock were amplified. At the same time, the policies weakened the capacity
of large fractions of the population to cope with the shocks that these econ-
omies were experiencing. The Washington Consensus policies were often
accompanied by a weakening of systems of social protection; the adverse
effect on vulnerability should be obvious.
Thus, these ‘reforms’ increased the vulnerability both of individuals and
of the economic system as a whole. For example, the often lauded switch
from defined benefits to defined contributions increased individual and sys-
temic vulnerability.
Even in developed countries, however, many argued that to compete in
a world of globalization, there had to be cutbacks in the welfare state and
in the systems of social protection, leaving those at the bottom and middle
more vulnerable.
The Washington Consensus policies often also resulted in greater in-
equality, and those at the bottom will inevitably be more vulnerable, unless
the government undertakes active protective measures.
(continued)
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SPECIAL CONTRIBUTION
Broadening our thinking on vulnerability (continued)
Inequality and vulnerability
One of the biggest contributors to vulnerability—something that has ad-
verse effects on many of the other factors mentioned—is inequality, and it
is a contributor in many ways. Inequality causes instability, increasing the
frequency of big swings in the economy.
4
Extremes of inequality mean that
larger fractions of the population are in poverty—with a lower ability to
cope with shocks when they occur. Extremes of economic inequality inevi-
tably lead to political inequality—with the result that governments are less
likely to provide the systems of social protection that can protect those at
the bottom from the consequences of large shocks.
5
We need to begin think-
ing of inequality not just as a moral issue—which it is—but also as a fun-
damental economic concern, integral to thinking about human development
and especially relevant to any analysis of vulnerability.
Limiting vulnerability
Some interventions to limit vulnerabilities are well known and have long
fallen within the ambit of human development. These include improvements
to education and social protection. In this perspective, education is impor-
tant not just because it enables individuals to live up to their potential, not
Joseph Stiglitz, Nobel Laureate in Economics
just because it leads to increases in productivity: it also enhances the ability
of individuals to cope with shocks. More educated individuals can more eas-
ily move, for instance, from one job to another. While the beneficial effects
of such policies may be obvious, they continue to be crucial.
But there are others that are not as obvious. Many aspects of our eco-
nomic system are implicitly part of risk absorption—in other words, they
help mitigate vulnerability. Having a bankruptcy law that protects ordinary
citizens (debtors)—rather than trying to extract as much as possible from
the most disadvantaged to the advantage of creditors, as the American sys-
tem does—is extremely important. Good bankruptcy laws enable individu-
als to get a fresh start.
Income-contingent education loans can help families break out of a pov-
erty trap, to begin a climb upward. And good systems of social protection
affect, as noted, not just the well-being of those facing stress but the overall
performance of the economic system.
Vulnerability has multiple causes and consequences. Reducing vulner-
ability is a key ingredient in any agenda for improving human development.
But if we are to succeed in reducing vulnerability, we need to approach it
from a broad systemic perspective.
Notes
1. Ogata and Sen 2003. 2. Narayan and others 2000. 3. Stiglitz, Sen and Fitoussi 2010. 4. The International Monetary Fund has called attention to this; see Berg and Ostry (2011b). 5. There are, of course, many other pernicious
effects of inequality, emphasized in Stiglitz (2012b). Inequality is linked to lower growth, undermines democracy, increases social friction and erodes trust.
minimize longer term impacts. Take the Bolsa
Família initiative in Brazil, a cash transfer pro-
gramme that aims to minimize adverse longer
term impacts by keeping children in school and
protecting their health.
1
The impact of a sharp
rise in food prices in 2008 following the global
financial crisis was mitigated by higher transfer
payments. Beyond that, not much else can
be done other than ad  hoc emergency relief,
which however well designed is not best over
the long term. Pending more-comprehensive
social protection arrangements, cash transfer
programmes can be started relatively easily, and
their budget impact can be limited if there is
an infrastructure to draw on, as in Brazil. Such
programmes need to be designed to ensure that
capabilities—especially those of the next gener-
ation—are protected.
Universal provision of
basic social services
Universalism implies equal access and oppor-
tunities to build core capabilities. Universal ac-
cess to basic social services—education, health
care, water supply and sanitation, and public
safety—enhances resilience. Universalism is
a powerful way of directly addressing the un-
certain nature of vulnerability. Social policies
that have a universal aim not only protect those
who currently experience poverty, poor health
or a bout of unemployment; they also protect
individuals and households that are doing well
but may find themselves struggling if things go
wrong. And they secure certain basic core capa-
bilities of future generations.
Universal coverage of basic social services is
not only imperative—it is also possible at early
stages of development. And recent evidence
shows that it can be achieved in less than a
decade. Furthermore, universal provision of
basic social services is better than targeting,
which leads to social stigma for recipients and
segmentation in the quality of services, as those
who can afford to opt out of receiving public
services do so.
Universal provision of basic social services
can raise social competences through several
channels. It can be a powerful force to equalize
opportunities and outcomes—and a powerful
enabler of societal empowerment. Universal
public education can mitigate the gap in the
quality of education that children from rich
Chapter 4
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The case for universal
provision of basic social
services rests, first and
foremost, on the premises
that all humans should
be empowered to live
lives they value and that
access to certain basic
elements of a dignified life
ought to be delinked from
people’s ability to pay.
and poor households receive. Intergenerational
transmission of capabilities such as education
within families can perpetuate the benefits in
the long run. Universal policies also promote
social solidarity.
2
The case for universal provision of basic
social services then rests, first and foremost,
on the premises that all humans should be
empowered to live lives they value and that
access to certain basic elements of a dignified
life ought to be delinked from people’s ability
to pay. The UN Secretary-General’s 2013
report, “A Life of Dignity for All”, states that
one of the prerequisites for the post-2015
sustainable development agenda is a “vision of
the future firmly anchored in human rights and
universally accepted values and principles, in-
cluding those encapsulated in the Charter, the
Universal Declaration of Human Rights and
the Millennium Declaration.”
3
The September
2010 Millennium Development Goal Summit
outcome document states, “promoting uni-
versal access to social services and providing
social protection floors can make an important
contribution to consolidating and achieving
further development gains.”
4
A commitment to universal provision of
social services requires a profound societal and
political decision. It reflects on the nature of
society that people want. While ways of deliv-
ering such services may vary with circumstances
and country context, common to all successful
experiences is a single idea: The state has the
primary responsibility to extend social services
to the entire population, in a basic social con-
tract between people and their state.
At a more policy-oriented level, looking at
budgets alone is insufficient; how and when
they are deployed are equally critical. More
resources may well be required to extend basic
social services to all, but modest investments
at the right time can go a considerable way in
reducing vulnerability. Budgets need to join
legal and other measures to equalize access to
services and opportunities.
Universal or targeted coverage
Recent decades have seen a global shift in
the politics of social spending, changing the
emphasis from development to poverty allevi-
ation.
5
As a result, there has been greater stress
86 | HUMAN DEVELOPMENT REPORT
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on targeting social spending for the poor rather
than for all. Targeted services were considered
more efficient, less costly and more effective in
ensuring redistribution. But historical evidence
presents a more nuanced picture. Universal
provision has in many instances been associated
with greater poverty reduction, greater redistri-
bution and lower inequality, something of a
paradox since targeted benefits are theoretically
more redistributive.
6
A key factor is that when
benefits are narrowly targeted, the middle class
and elites are less willing to fund them through
taxes. If provision is universal, however, elites
are more willing to fund services, and some of
the inefficiencies in redistribution are offset by
the larger pool of available funds.
7
In the European welfare states, universal cov-
erage of social insurance has been driven by the
expectations and demands of the middle class.
8
Similarly, universal provision of education and
health care in the Nordic countries was sustain-
able because of the high quality of education
and health care from which all could benefit.
This ensured that the middle class was willing
to fund their provision with taxes. Because
of this, there have been calls for a politics of
solidarity—engaging universalist principles
to create a stake for the middle class in social
provision and thus to build a coalition between
the poor and the nonpoor.
9
Targeting can un-
dermine such solidarity, giving rise to two-track
systems: underfunded low-quality services for
the poor and better quality commercial services
for the middle classes and the rich.
Universalist principles in social policy have
been known and practised in several countries
for years. Aspirationally, they have been includ-
ed in country constitutions and recognized in
the Universal Declaration of Human Rights.
But many countries, in different geographic
areas and at all stages of development, have yet
to commit to universal provision of basic social
services. An enduring concern has been finding
adequate resources to fund universal provision.
For example, there is a tacit assumption that
economic growth producing higher incomes
is a prerequisite for universal health care.
Worries about reduced fiscal space have height-
ened since the 2008 financial crises—even
in developed countries—leading to austerity
measures.
10
Yet income alone need not con-
strain universal social policies. While resource
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constraints are a valid concern, mobilizing
resources, restructuring the fiscal space, repri-
oritizing spending and improving the efficiency
of service delivery through better institutional
design can create more options.
Universal provision is feasible, even
at early stages of development
Three stylized facts emerge from a study of the
conditions in selected countries that adopted
principles of universalism. First, the principles
were generally adopted before the countries
industrialized and became affluent. Second,
they were adopted under a range of political
systems—from autocracies to highly functional
democracies. Third, universal coverage took
many years, in some cases decades, for the
early adopters to achieve, not so for several
recent adopters. But the gains from expanded
coverage start to accrue long before coverage is
universal.
In Costa Rica, Denmark, the Republic of
Korea, Norway and Sweden the first step to-
wards universal provision of basic social servic-
es was taken at relatively low income per capita.
Costa Rica adopted comprehensive measures
on education investments, public health and
social security in the constitutional amend-
ment of 1949, in the immediate aftermath of
a violent political struggle after which democ-
racy emerged, when its GDP per capita was
$2,123 in 1990 international dollars. Sweden
(in 1891) and Denmark (in 1892) enacted
sickness insurance laws at a GDP per capita of
$1,724 and $2,598 respectively. Norway enact-
ed a mandatory workers compensation law in
1894 when its GDP per capita was $1,764. The
Republic of Korea had already made large gains
in education by the early 1960s, when its GDP
per capita was less than $1,500.
11
Ghana initiat-
ed universal health coverage in 2004 when its
income per capita was $1,504—the coverage
is not complete yet, but reductions in out-of-
pocket expenditures have been large.
12
These
countries started putting in place measures of
social insurance when their GDP per capita
was lower than India’s and Pakistan’s now (fig-
ure 4.1).
When Sweden made schooling compulsory
for all children in 1842, its GDP per capita
($926) was lower than the current GDP per
capita of all the countries in South Asia. So
high national income is not a prerequisite
for taking the first steps towards broad-based
investment in providing basic social services.
Investment in public services preceded growth
takeoffs in all the countries just discussed.
The earliest measures towards widespread—
if not universal—education, health care and
social protection were adopted under a range
of different political conditions (figure 4.2).
In France and the Nordic countries a spirit of
egalitarianism and a solidarity view of welfare
as a right of citizenship preceded the adoption
of welfare measures. Germany initiated edu-
cation for the masses under Prussian rule. The
Republic of Korea invested heavily in educa-
tion even as a newly independent country in
the late 1940s and continued to expand access
to education during political turmoil and war.
13
Sri Lanka, which shares a colonial history sim-
ilar to that of India and the rest of the subcon-
tinent, achieved nearly universal education and
health care despite years of militancy and war.
While the transition to universal coverage
took time for the early adopters, the more
recent adopters have made faster gains. Even
though compulsory education and social pro-
tection were mandated in Denmark, Norway
and Sweden in the late 19th century, the
various schemes became truly universal more
than 10 years after the Second World War,
between 1955 and 1963. The Republic of
Korea’s near-universal primary education and
high secondary and tertiary education took
some five decades to achieve.
14
In comparison,
China, Rwanda and Viet Nam went from very
low health care coverage to nearly universal
coverage within a decade.
15
Sometimes severe shocks can set back pro-
gress in human development, including efforts
to achieve universal coverage of basic social ser-
vices, but the right short-term response can pre-
vent long-term damage. In the aftermath of the
East Asian crises in the late 1990s, Indonesia,
the Republic of Korea, Malaysia, Thailand and
other economies were reeling from market
failures and the shock of capital flight. The re-
sultant job losses and decline in growth output
meant that large sections of the working pop-
ulation lost earnings, with immediate impacts
on household spending and consumption and
direct repercussions for health and education.
While resource
constraints are a valid
concern, mobilizing
resources, restructuring
the fiscal space,
reprioritizing spending and
improving the efficiency of
service delivery through
better institutional design
can create more options
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FIGURE 4.1
Several countries started putting in place measures of social insurance when their GDP per capita was
lower than that of most countries in South Asia today
GDP per capita
8,000
(Geary-Khamis
dollars)
7,000
6,000
5,000
4,000
3,000
2,000
1,000
0
Bangladesh
Sri Lanka
India
Nepal
Pakistan
Denmark enacted sickness
insurance law (1892)
Costa Rica made comprehensive investments
in education, health and social security (1949)
Norway enacted mandatory workers
compensation law (1894)
Sweden enacted sickness
insurance law (1891)
Ghana initiated universal health
coverage (2004)
Republic of Korea made gains
in education coverage (1960s)
Source:
Calculations based on Maddison (2010).
On closer examination, the countries re-
sponded differently to the crises.
16
Indonesia’s
leadership was constrained by political un-
certainty, and there was a decline in public
spending on the social sectors. Ongoing
social unrest meant that informal community
networks were not as resilient or resourceful.
Household spending on health and education
also declined, leading to higher illness and
school dropout rates.
17
The Thai government
implemented assistance measures for employ-
ment, health and education.
18
But executing
such a response in Indonesia was more difficult.
The difference in these two experiences is often
pinned to the different levels of proactive poli-
cies by the government.
19
Macro and other benefits
Expanded provision of basic public services
can reduce poverty and inequality even before
88 | HUMAN DEVELOPMENT REPORT
2014
coverage is universal. The design and reach of
social policies will affect inequality in people’s
lifetime earning power. In Mexico between
1997 and 1998 the Oportunidades programme
reduced the poverty rate 17 percent. In Brazil
the Bolsa Família programme has been linked
to a 16  percent decline in extreme poverty.
20
In Europe consolidation of universal provision
coincided with a decline in income inequality,
giving rise to associations between the size of
social expenditure and the reduction in ine-
quality, termed the ‘size-redistribution thesis’.
21
Several studies have since shown that institu-
tional design rather than amount of spending
may have driven outcomes.
22
Indeed, countries
can achieve better coverage and quality for the
resources they spend on providing basic social
services. And innovative sources of finance
can be tapped to fund universal provision. For
instance, Bolivia introduced a universal old age
pension in 1997 and funded it partially through
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
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FIGURE 4.2
Evolution of health protection coverage as a percentage of total population in selected countries
Share of
100
population
covered (%)
60
Austria, France,
Germany
Spain, Greece,
Portugal
China,
Viet Nam
Austria
France
Germany
Greece
Portugal
Spain
United States
Chile
Mexico
China
Rep. of Korea
Thailand
Viet Nam
Ghana
Rwanda
20
Rep. of Korea,
Thailand
Rwanda,
Ghana
a
1920
a. Estimated.
Source:
ILO 2011b.
1940
1960
1980
2000
resources from privatizing public enterprises. In
2007 the qualifying age was reduced from 65 to
60, and taxes on hydrocarbon sales became the
main source of funding.
23
Social spending has been associated with
poverty reduction in the population as a whole
and among subgroups.
24
With a poverty line at
50 percent of median equivalent income, the
Nordic countries reduced poverty 80–90 per-
cent among families with children through
redistribution in the mid-1990s.
25
Other
European countries—notably Belgium, France,
Germany, the Netherlands and Spain—also
reduced poverty more than 50 percent among
families with children. Non–means tested
entitlements in Sweden reduced poverty by
close to 72  percent, independent of the level
of means-tested benefits.
26
In Argentina a uni-
versal child allowance, introduced in 2009 and
covering 85 percent of children, reduced pover-
ty 22 percent and extreme poverty 42 percent.
27
Universalism in social policy can also
contribute to economic growth, thus setting
up a virtuous cycle of growth and human
development. In East Asia in particular, rapid
gains in education and training enabled coun-
tries to leverage the new knowledge-driven
global economy. Universal provision affects
development outcomes through a range of
channels, including improvements in human
resources that might contribute to growth,
thus setting up a virtuous cycle. For instance,
countries that reaped demographic dividends
have usually had better education outcomes
prior to takeoff. While there is no one-to-one
correspondence between human development
and economic growth, the latter increases a
country’s command over resources and is thus
important for development.
Expanded education and health care have
enabled several countries to reap demographic
dividends.
28
In the Republic of Korea, for
example, the child dependency ratio ranged
between 74  percent and 81  percent through
the 1960s, increasing until 1966 but then
falling consistently to 22  percent by 2011.
The country’s economic takeoff starting in the
mid-1960s was also preceded by large-scale
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Early childhood
development provides
a good example of how
universalism helps
support investments
in human capabilities
across the life cycle
achievements in education. In 1945 most of
the population had no schooling, and less than
5 percent had secondary or higher education,
but by 1960 primary enrolment had increased
3-fold (with 96 percent of school-age children
in grades 1–6), secondary enrolment more
than 8-fold and higher education 10-fold. By
the early 1990s the high school graduation
rate was 90 percent. This education revolution
continued through political instability, poverty
and war, and the country had universal educa-
tion before its economic takeoff.
China presents a more complex picture.
Through the 1960s the child dependency ratio
was above 70 percent. It started declining in the
mid-1970s, just before the reforms of 1978, and
by 2011 had fallen to 26 percent. In 1982, the
earliest year with data, adult female literacy was
51 percent.
29
By 2000 it was 87 percent and by
2010 more than 91 percent. In 1997, the most
recent year with data, primary completion was
94 percent and for women, 92 percent. Primary
enrolment became universal around 2007. As a
result, the growth of the manufacturing sector
over the last two decades was fuelled not just by
a growing labour force, but also by an educated
and productive labour force.
But in recent decades China has seen an
erosion in health care coverage and social pro-
tection. From 1950 through the 1970s health
care was nearly universal—thanks to the public
health network and urban and rural health
insurance schemes. But after 1978 a shift to
market-oriented mechanisms and increasing
costs of medical care, combined with the
collapse of the rural cooperative health care
system, left large sections of the population
(including urban groups) without affordable
care. In 2009 a blueprint for health system
reform was announced, with the goal of estab-
lishing universal coverage of all urban and rural
residents.
30
By the end of 2013, 99 percent of
China’s rural population was said to have access
to health care through the new rural coopera-
tive medical insurance scheme.
31
Universal social policy is not uniform in
its implementation. Providing access to mar-
ginalized and excluded groups, including the
poor and the vulnerable, requires additional
efforts and resources. Implementing policies
with universal intent often starts by gathering
the ‘low-hanging fruit’, as evident in policies
to move the poor closest to the poverty line
over it. Avoiding this false choice will require
starting at the ‘last mile’—aiming to provide
access to basic services that meet the needs of
the poorest and the most vulnerable first.
A second issue is quality. Although most
countries are close to universal primary school
enrolment, school completion at that level is far
from universal. Moreover, children in public
schools often receive very poor quality educa-
tion: Where public and private schooling sys-
tems coexist, a systematic difference in quality
may emerge if public schooling is underfunded.
The quality of health care that people can access
(by paying) and what is included in universal
health coverage can also make a large differ-
ence in outcomes. When public education has
adequate funding, it competes favourably with
privately provided education.
32
Expanding
coverage thus requires a clear assessment of the
appropriate balance between public and pri-
vate spaces in delivering these basic services. A
‘mixed’ system tends to segment the provision
of services—the rich and the middle class tend
to opt out of publicly provided education, lead-
ing to a weaker commitment to providing qual-
ity education in the publicly organized system.
Addressing life cycle
vulnerabilities—timing matters
Covering all individuals implies that social ser-
vices are needed at different points in the life
cycle, particularly at sensitive junctures in a per-
son’s life, including early childhood and the tran-
sitions from youth to young adulthood and from
adulthood to old age, to build lifetime resilience.
Timing the interventions is critical—since fail-
ing to support the development of capabilities
at the right time is costly to fix later. Early child-
hood development provides a good example of
how universalism helps support investments in
human capabilities across the life cycle.
The focus here is on early childhood devel-
opment. Another key transition is from youth
to young adulthood. Most salient for young
people are school-to-work transitions and pre-
carious employment. (Employment policies are
treated in the following section, and pensions
and disability insurance, in the section on so-
cial protection.)
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Ideally, governments should integrate
health, education, family and social protection
services for children and families throughout
their lives. However, it is common for fewer
resources to be available for early childhood
development and for social spending per cap-
ita to increase with age.
33
Spending on health,
education and welfare that increases over the
life cycle does not nurture and support capa-
bility development during the crucial early
years (figure 4.3).
Sweden is a rare model where the government
allocates expenditures towards earlier years,
34
thus reflecting the crucial investments during
the prenatal and postnatal sensitive period of
brain development (figure 4.4). In launching
or scaling up large national programmes, four
ingredients deserve special consideration:
pre- and post-natal care; parent education and
training; income; and nutrition. As chapter 3
highlighted, brain growth is extremely rapid
during the earliest years and tends to flatten
after them. But the budget allocations in public
social services are lowest in the earliest years
and increase later (see figure 4.3).
35
The advantages gained from effective
early interventions are best sustained when
FIGURE 4.3
followed by continued investments in
high-quality education. Early childhood
development interventions alone are not
sufficient. Later complementary investments
in lifetime learning during adolescence, adult-
hood and old age are necessary to ensure that
individual capabilities can develop to their full
potential. But current policies of education
and job training are often not appropriately
focused and tend to emphasize cognitive skills
over social skills, self-discipline, motivation
and other ‘soft skills’ that determine success
in life.
Education performance stabilizes at a
young age (around 7–8), and family environ-
ments can shape inequalities (figure  4.5).
36
Particularly important are interactions with
parents and caregivers.
37
The degree and
quality of these interactions—including play,
vocal exchanges, facial expressions and phys-
ical contact—correlate with a child’s later
behaviour, cognitive abilities and emotional
development.
38
Much of this care is unpaid
and nonmarket work.
Infancy and early childhood are among
the most formative periods in a person’s life.
Investments in children—of time, money and
Spending on health, education and welfare that increases over the life cycle does not nurture and support
capability development during the crucial early years
Brain size
Brain size by age
Budget
share
ge
Age
Source:
Karoly and others 1997.
Chapter 4
Building resilience: expanded freedoms, protected choices
| 91
Bud
get
sha
re b
ya
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1438643_0104.png
FIGURE 4.4
Early childhood investment: the Swedish example
Government
200,000
expenditure
(Swedish krona)
160,000
Health care
School
Preschool
Transfers
120,000
80,000
40,000
0
0
2
4
6
8
10
12
14
16
Age (years)
Source:
Dalman and Bremberg 1999.
other resources—expand their choices fur-
ther down the road, enhance capabilities and
lead to sustainable improvements in human
development. But children who are born into
poverty, go hungry and receive inadequate care
tend to perform worse in school, have poorer
health and are less likely to get a decent job.
And as adults they invest too little in their
own children, perpetuating vulnerability across
generations. When households are subject to
persistent shocks, programmes such as Bolsa
Família and Oportunidades can reduce the
probability that children will be pulled out of
school or suffer malnourishment.
Parents and caregivers in low-income and
impoverished households may have to spend
more time in paid work to make ends meet
and thus have less time to invest in children.
Adults in better resourced households have
more money—and often more time. This helps
explain correlations between socioeconomic
status and early childhood development.
39
It
also points to the benefits of universal access
to early childhood development measures in
equalizing opportunities.
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Promoting full employment
Full employment as an objective was central
to macroeconomic policies in the 1950s and
1960s. It disappeared from the global agenda
during the era of stabilization that followed
the oil shocks of 1973 and 1979. It is now
time to return to that commitment so that
progress can be robust and easily sustained.
Universalism is frequently discussed with
regard to social policies—such as health, ed-
ucation, childcare and income support. But
it also applies to labour markets—ensuring
that everyone has access to decent opportuni-
ties for paid employment. Not everyone will
choose to engage in paid employment, but
universalism implies that they should have
the option to do so. Universal access to decent
employment opportunities is often articulated
in terms of full-employment policies. Not
only does full employment extend univer-
salism to the labour market, it also supports
the provision of social services. Indeed, full
employment was important for sustaining the
Nordic model, since high employment helped
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1438643_0105.png
FIGURE 4.5
The degree and quality of interactions with parents and caregivers correlate with a child’s later
behaviour, cognitive abilities and emotional development
Preschool
Appropriate
discipline
Readiness
to learn
Reading to child
Parental
education and
emotional
awareness
Lack of support
service
Poverty
School readiness:
socioemotional, physical,
cognitive and language
function
Lower trajectory
lower function
Family
discord
6 mo
Birth
Early infancy
12 mo
Late infancy
18 mo
Early toddler
24 mo
Late toddler
Preschool
3y
4y
5y
Age
Source:
Young 2014.
ensure adequate tax revenues to finance uni-
versal provision.
Full employment is also desirable for its
social benefits. Unemployment entails high
economic and social costs, leading to a per-
manent loss in output and a decline in labour
skills and productivity. The loss of production
and associated tax revenue can require higher
public spending to support unemployment
insurance. Long-term unemployment is also a
serious threat to health (physical and mental)
and to the quality of life (including children’s
education). And unemployment tends to be
associated with an increase in crime, suicide,
violence, drug abuse and other social problems.
Therefore, the social benefits of a job far exceed
the private benefit—the wage.
Jobs foster social stability and social co-
hesion, and decent jobs strengthen people’s
ability to manage shocks and uncertainty. Jobs,
as a means of livelihood, strengthen human
agency and have larger value for families and
communities. Secure employment has a high
psychological value as well.
Yet few countries, developed or developing,
pursue full employment as an overarching
societal or economic goal. Macroeconomic
policies almost everywhere now focus on price
stability and debt management. Globally con-
nected financial markets are quick to penalize
countries if they believe these objectives are
not being adequately pursued. Even in theory,
markets cannot deliver on full employment due
to informational barriers and other labour mar-
ket frictions. And unregulated markets make
it particularly difficult to produce desirable
labour outcomes.
A stronger national commitment to full em-
ployment and active public policies should be
geared towards creating and protecting jobs. It
is worth recalling that the 1995 Copenhagen
commitment to full employment was added
to the Millennium Development Goals as
target 1.B in 2008. Expanding and conserving
jobs rather than destroying them should now
guide creative and active labour market poli-
cies. Unemployment benefits and work injury
compensation, however useful, are reactive,
dealing mainly with the effects of economic
vulnerabilities. Active labour market poli-
cies seek to overcome these vulnerabilities
by helping workers regain employment
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Expanding and conserving
jobs rather than destroying
them should now guide
creative and active
labour market policies
through temporary employment schemes or
by imparting employable skills. For instance,
Singapore places a high premium on job sta-
bility in economic downturns by providing
wage subsidies to employers (rather than pro-
viding unemployment benefits to workers)
that increase wages at the lower end of the
distribution.
But for developing countries faced with
underemployment, active labour market poli-
cies are not enough. Pursuing full employment
requires policies that promote pro-poor growth
and create a social security framework. It also
requires macroeconomic policies that go be-
yond an exclusive focus on price stability and
debt management. Typically, developing coun-
tries have little formal unemployment—in fact,
unemployment is generally a status that only
better-off people can afford. These countries
also face pressing challenges of creating many
new jobs in the next years to accommodate
youth spikes in their populations.
There are promising employment initiatives
around the world—from China’s strong com-
mitment to high growth in order to absorb new
entrants to the labour force to India’s National
Rural Employment Guarantee Scheme to
secure work as a basic right of all citizens. The
examples highlight the opportunities in vigor-
ously pursuing full employment as a strategic
objective, at different stages of development, to
reduce vulnerability and build the resilience of
people and societies.
In the past decades, however, macroeconomic
frameworks in most developing countries have
had a one-dimensional focus on price stability
rather than on full employment, leading to
low growth and high unemployment.
40
The
shortcomings are also evident in developed
countries. By further depressing aggregate de-
mand when it needs to be boosted, fiscal auster-
ity may be inappropriate as a macroeconomic
policy because it exacerbates the impact of
economic downturns on unemployment
(box  4.1). Decent work that pays reasonable
wages, involves formal contracts that prevent
abrupt dismissals and brings entitlements to
social security can do much to reduce em-
ployee vulnerability, but less so in recessions.
Reducing vulnerable employment is thus
hugely important for reducing human vulner-
ability in general. The importance of realizing
decent and full employment has long been
recognized, yet widespread unemployment and
underemployment continue in most countries
due to the prolonged deployment of macro-
economic policies that have been insufficiently
countercyclical.
All these policy areas are interrelated, and a
comprehensive approach to addressing labour
market deficiencies will require a coordinated
effort. This will require structural transfor-
mation of the economy, with movement into
higher productivity and higher value-added
activities—using targeted policies that sup-
port the development of strategic sectors and
activities.
41
Developing countries require
particular policies
Pursuing full employment in developing coun-
tries requires different approaches. Traditional
policies, such as those highlighted above, are
more appropriate to developed countries.
Such policies make only a small contribution
to reducing the vulnerability of employment,
helping the minority in the modern formal
sector. The long-run objective then is to se-
cure structural change so that modern formal
employment gradually incorporates most of
the workforce, as has happened in developed
countries and many emerging countries, such
as China and the Republic of Korea. Such a
transformation involves movement out of ag-
riculture into industry and services, supported
by investments in infrastructure, education
and training, as the successful economies
show.
42
Policies supporting structural transfor-
mation, increasing formal employment and
regulating conditions of work are thus needed
to reduce employment vulnerability in the me-
dium to long run, but they will be insufficient
to tackle the vulnerabilities of the majority of
the workforce in the short run. So policies are
also essential to address the vulnerabilities—
and secure the livelihoods—of the mass of the
workforce that will remain in traditional and
informal activities in the short run.
First, a host of interventions can contrib-
ute over the medium to long term, including
micro-credit schemes, support for new and
improved small-scale technologies, assisting
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BOX 4.1
Macroeconomic policies for full employment
Full employment was pursued and mostly attained in the mid-20th century
in Europe and North America. The East Asian economies achieved similar
results during their high growth era in the 1970s and 1980s. High savings
and high aggregate investment (both above 30  percent of GDP) produced
inclusive growth that transformed the structure of their economies and led
to full employment.
1
In many other developing countries, however, most jobs remain vulnerable
and precarious. The poor, with little or no social security, cannot afford to be
unemployed but must accept whatever work and wages are available, often in
the informal sector. The objective is full decent employment—moving towards
higher productivity, higher value added, higher quality and better remunerated
forms of employment. Generally this means moving out of agriculture into
other sectors of the economy. So policies need to address land reform and
the insecurity of labour transitioning out of agriculture. Full employment also
has implications for fiscal policy. For example, since the mid-1990s increases
in urban formal employment and rising wages in China have been financed by
rising provincial government fiscal deficits.
2
Similarly, India uses tax revenues
to finance the National Rural Employment Guarantee Scheme.
During economic downturns a countercyclical fiscal stimulus can raise
aggregate demand. Macroeconomic policy should thus embrace multiple
targets (not just the inflation rate) and multiple instruments (not just mon-
etary policy) complemented with universal social protection that not only
mitigates vulnerabilities among the population, but also stabilizes the
economy in the face of shocks. In some developing countries, however,
countercyclical policies may not be the first step if there are structural im-
pediments to job creation.
In developed economies three policy approaches have traditionally
aimed at restoring full employment—which needs to be explicitly acknowl-
edged as an important objective of economic policy and incorporated into
macro policy, both fiscal and monetary. First, a Keynesian approach to macro
policy allowed budget deficits to rise during recessions, and monetary policy
was guided by the employment objective as well as price stability. In the
recent recession some developed countries (the United States and initially
the United Kingdom) and several middle-income developing countries did
adopt Keynesian deficit policies.
3
Second, to facilitate structural change and reduce the employment vul-
nerability it brings, research and development policies can promote technol-
ogy innovation to develop new sources of employment, increase workforce
education and provide more training and retraining, as well as unemploy-
ment benefits as people change sectors.
Third, emphasis on upgrading to new activities diminishes the need for
labour market reforms, which generally involve less employment security
and lower wages. Indeed, minimum wages should be raised to encourage
the move into higher productivity activities.
4
In general, the labour market
reforms of the neoliberal model need to be carefully re-evaluated from the
perspective of reducing employment vulnerability. Together, these three ap-
proaches to policy will contribute to reducing the vulnerability of employ-
ment in high- and middle-income countries.
Notes
1. Muqtada 2010. 2. Fang, Yang and Meiyan 2010. 3. Jolly and others 2012. 4. Raising minimum wages was a response to the crisis in Brazil and has contributed to improving wages and income distribution (Berg 2009).
small farmers with technology, credit and mar-
kets, and so on. And social and institutional
innovations can support improved conditions.
Farmer cooperatives, women’s forestry groups
and many others can improve productivity
and increase the bargaining strength and thus
the terms of trade and incomes of very poor
producers.
43
Second, responses to short-term shocks can
improve the support that people in very low-
income activities receive in general and during
adversity in particular. They include cash trans-
fers (conditional or unconditional), pensions
for older people (which contribute to the well-
being of the family), nutrition support through
food subsidies and school needs, communal
cooking and feeding programmes and low-cost
insurance schemes. Locally administered cash
transfers can support households when the
main earners are ill, as can free medical services.
Third, direct job creation programmes can
help those facing vulnerable employment. Some
provide permanent employment at low wages
for poor households. Others are temporary,
introduced during recessions or in post-conflict
situations as a short-term response to periods of
particularly precarious employment outcomes.
Both types of scheme, if on a sufficient scale,
reduce employment vulnerability. Examples
include
44
:
• The Indian National Rural Employment
Guarantee Scheme guarantees every rural
household 100 days of work a year at a rea-
sonable wage.
45
• Argentina’s Jefes y Jefas de Hogar
Desocupados, introduced in 2001 in re-
sponse to an economic crisis, included 2 mil-
lion beneficiaries by the end of 2003.
46
• Food-for-work schemes in Bangladesh have
provided extensive poverty alleviation since
1975, particularly for rural workers during
the slack seasons. Each year they have pro-
vided 100  million workdays for 4  million
people.
47
• The Indonesian Padat Karya, introduced in
1998–1999 in response to the financial crisis,
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provided employment for those who lost
their jobs.
48
• Nepal’s Emergency Employment Programme,
targeted at marginal communities, extended
to roughly 5  percent of the population to
meet the post-conflict need for employment
and a peace dividend.
49
Some groups face larger labour market risks
and uncertainties, and it will be important to
invest in their skills development and educa-
tion.
50
Addressing residential segregation, im-
proving transportation and lowering the cost of
getting to better jobs will integrate labour mar-
kets and increase accessibility of employment
opportunities.
51
Providing information about
available opportunities and connecting those
searching for better employment with new op-
portunities make labour markets work better.
Those in informal employment, many of whom
are self-employed, will need better access to
credit and markets. All this will require public
investment.
As development proceeds, workers move
from low-productivity but stable and diversi-
fied rural livelihoods to less predictable forms
of income, including wages and salaries.
52
Rather than exacerbating insecurity through
flexible labour market policies, public policy
needs to first focus on making it easier for
people to transition into decent jobs with some
autonomy. This will allow them to adopt a live-
lihood in response to socioeconomic structural
change that is more in line with their skill sets
and employment expectations, as seen in China
and the Republic of Korea.
More universal social security and social
provisioning help populations shifting out
of agriculture and rural subsistence prepare
for negative economic events and deal with
BOX 4.2
Policy successes in East Asia
The varied policy measures in East Asia have generally not fallen into the
mould of flexible labour market reforms and purely market-based approaches
to solving employment problems. They are better characterized as industrial
development through state interventions coupled with measures to enhance
livelihood or employment security and avoid excessive social dislocation and
unrest (among other aims).
State-led industrial policy created the conditions for labour to transition
to more productive, higher value added and fairly formalized employment
the employment precariousness in the devel-
opment process. Social security regimes are
integral to—not optional for—enhancing
people’s capabilities and societies’ competences
during transition.
53
Encouraging this shift and creating wide-
spread productive employment require more-
effective strategies of economic development,
including greater public investment in infra-
structure, development of human capabilities,
active promotion of innovation and strategic
policies for trade, particularly exports.
Some countries in East Asia have facili-
tated a rapid transition out of agriculture
(box 4.2). In the Republic of Korea the share
of the labour employed in the primary sector
(mostly agriculture) fell from 30 percent in
1980 to 9 percent in 2006. In Malaysia it fell
from 55 percent in the 1960s to 16 percent
in 2000. And in China it fell from almost
84  percent in 1952 to 81  percent in 1970
to 69 percent in 1980 to 60 percent in 1990
to 50  percent in 2000 and to 37  percent
in 2010.
54
The pace of these transitions is
remarkable.
Transitions have been slower in, say, Brazil,
where the primary sector’s labour share fell
from about 29 percent to 20 percent between
1980 and 2006, and much slower in India,
where it barely fell between 1960 and 2005,
stuck around 70  percent.
55
India’s failure to
transition into industry has to be remedied—
jobs in business process outsourcing are a boon
for the balance of payments but hardly for mass
employment.
Success might be deemed as avoiding a
situation in which the bulk of transitioning
labour ends up in insecure informal employ-
ment, as in much of Latin America, where
outside agriculture. Monetary policies to sustain aggregate demand for
maximum employment included tolerance for moderate inflation. State
ownership of the banking sector in the Republic of Korea and later in China
allowed for the financing of industrial policy and employment-generating
activities such as infrastructure construction, neither of which is necessarily
profitable in the short term. Trade, macroeconomic, financial and industrial
policies all increased the quality and quantity of jobs. Fiscal policies were
similarly directed towards employment creation.
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workers are highly urban and informal. For
about 1  billion of the world’s people,
56
the
precarious livelihoods of those operating
outside the labour market and engaged in
self-subsistence cannot be enhanced in the
long run without expanded decent employ-
ment. In the short run social protection that
covers the whole population is essential to
protect those whose livelihoods are in peril
during the transition (see below).
Preserving employment
Various countries have boosted employment
security for more-vulnerable workers through
targeted labour market interventions. Since the
1980s Singapore has temporarily reduced man-
dated employer social security contributions to
minimize job losses during economic down-
turns.
57
In 2009 the government introduced
a one-year jobs credit scheme that helped
businesses preserve jobs during the recession.
Its 2013 budget included a wage credit scheme
to raise the wages of lower income workers.
Employers thus have an incentive to share pro-
ductivity gains with all employees.
China has practised a degree of wage equal-
ization across state employment in urban
areas, increasing real wages nationwide since
the 1990s. This presumably also raised wages
in the nonstate sector, in both corporate and
informal employment. European countries
have also offered subsidies to employers to
hire unemployed workers. In 2003 Germany
subsidized roughly 6 percent of transitions out
of unemployment for middle-age people.
58
The
pay of the subsidized workers was not much
different from that of their unsubsidized coun-
terparts, but because subsidized workers tended
to keep their jobs, their cumulative wages were
substantially higher.
59
Subsidized employment
also generated more tax and social security in-
come and reduced the cost of unemployment
benefits.
Yet some groups can be difficult to employ
even in a healthy economy—particularly
young people or the long-term unemployed.
To address this, the United States offers work-
ers an earned income tax credit that provides
extended benefits if they have families with
children. Combining wage support and social
transfers, the system has a strong antipoverty
impact. Chile introduced an employer-side
and training-linked wage subsidy programme
in 1991. Under its Chile Joven programme,
employers that hire and train unemployed
young people received a subsidy to cover the
training costs.
60
Some evidence indicates that
three months after receiving training half the
participants retained employment—usually in
positions related to their training.
At least 10 Organisation for Economic
Co-operation and Development (OECD)
countries have policies for workers with disabil-
ities. In 1998 Denmark, as an extension of its
active social policy, introduced Flexjob, which
offers wage subsidies to enable employers to
retain the long-term sick or disabled on the job.
Although there is little research into Flexjob’s
effectiveness, one study found that the scheme
had substantial, positive employment effects
over 1994–2001.
61
Strengthening social protection
Social protection
62
can offer cover against risk
and adversity throughout people’s lives and
especially during critical phases and transi-
tions. By providing an additional and predict-
able layer of support, it can help households
avoid coping strategies that take children out
of school, postpone necessary medical care
or require selling assets, all detrimental to
long-term well-being. And the distribution
networks and mechanisms for administering
social protection programmes can convey so-
cial safety net benefits in the event of a natural
disaster.
Social protection not only is a doable propo-
sition at early stages of development, but it also
brings about other benefits such as stimulating
aggregate demand when needed and reducing
poverty. Social protection dampens fluctua-
tions by offsetting output volatility through
disposable income compensation (chapter 2).
Strong universal social protection policies
improve individual resilience and bolster the
resilience of the economy, as in Europe fol-
lowing the 2008 global economic crisis, when
GDP per capita declined more than 5  per-
cent.
63
The Nordic countries, with more-com-
prehensive social policies, did better, with
higher productivity than the rest of Europe
Social protection can
offer cover against risk
and adversity throughout
people’s lives and
especially during critical
phases and transitions
Chapter 4
Building resilience: expanded freedoms, protected choices
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in 2010 and an employment rate of 51  per-
cent of the population. In comparison, in the
United Kingdom and Ireland productivity was
down 12 percent and employment 9 percent.
Employment rates were lower in all parts of
Europe, though labour productivity in con-
tinental Europe matched that of the Nordic
countries. On unemployment, the Nordic
countries also did much better on average than
other OECD countries in Europe (figure 4.6).
Only Austria, Luxembourg, the Netherlands
and Switzerland had lower unemployment
rates than the Nordic countries before and
after the crisis.
Short-run actions can bolster
resilience within the long-run human
development policy framework
Most of this chapter focuses on reducing
vulnerability and building resilience over the
long term—that is, human development pol-
icies that bring about systemic improvement.
However, when crises happen, governments
also need to react immediately. How can they
FIGURE 4.6
best do so without harming longer term human
development?
A useful taxonomy, in a 2011 review,
64
di-
vides post-crisis policies into two groups: those
that mitigate the impact of a crisis (such as re-
ducing working hours to maintain employment
or facilitating emergency credit) and those that
promote recovery over the longer term (such as
investment in education or changing agricul-
tural practices to adapt to climate change). For
some policies there might be a tradeoff: Some
mitigation policies might slow recovery over
the longer term. A rarely heard criticism of the
Indian National Rural Employment Guarantee
Programme is that the easy availability of
work may discourage workers from moving
to more-productive sectors of the economy,
thus harming longer term growth prospects.
65
Particular thought should be given to win-win
policies that both mitigate the impact and pro-
mote recovery.
Of course finding win-win policies is not
always so easy, nor is having a plan in place nec-
essarily enough. The capabilities to implement
a plan may not exist. What actions can actually
Following the 2008 global economic crisis unemployment rates were lower in Nordic countries than elsewhere in Europe
Unemployment
rate (%)
22
2007
2011
14
6
Czech Republic
Germany
Austria
Iceland
Netherlands
Denmark
Finland
Luxembourg
Slovenia
Estonia
Poland
Sweden
Greece
Spain
Source:
Human Development Report Office calculations based on OECD (n.d.).
98 | HUMAN DEVELOPMENT REPORT
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United Kingdom
Belgium
Portugal
Slovak Republic
Switzerland
Norway
Ireland
France
Italy
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be implemented will depend on their cost and
the capacity of institutions. As the review
notes, “When government budgets decline, as
often happens during crises, the more relevant
question is what policies to preserve, rather
than what additional policies to undertake”,
66
and so interventions must be both feasible and
flexible. Preparedness, it notes, is key—and
takes longer. Setting up institutions or new pol-
icies, such as safety nets, during a crisis is both
difficult and time-consuming.
Health care, including reproductive health
care, needs priority in a crisis because of its
long-term and intergenerational consequenc-
es, and this often requires difficult decisions
when both resources and capacity are lacking.
And so several minimum thresholds exist to
guide decisionmakers, such as the Minimal
Initial Service Package for Reproductive
Health, though research shows mixed suc-
cess because of such issues as inadequate
training.
67
Brazil’s Bolsa Família and Mexico’s
Oportunidades are other examples of win-
win policies. Three lessons could be high-
lighted in strengthening the link between
short-run actions and longer term policies in
bolstering resilience. First, a social infrastruc-
ture should be in place so that distribution
networks can be readily accessed when a crisis
hits. Second, conditional transfer payments
might be helpful in protecting education and
health status, especially for young people, and
in reducing intergenerational consequences.
Third, social support that starts with coverage
of key vulnerable groups could become a basis
for a more comprehensive social floor in the
future.
A social infrastructure serves as an opera-
tional framework that public institutions can
use to transfer payments to people in need.
And since formal social protection systems take
time to develop, the basic infrastructure of such
programmes as Bolsa Família allows resources
to be transferred quickly and effectively. When
fluctuations and adverse events happen, these
resource transfers protect poor people and oth-
er vulnerable groups.
While persistent shocks and hazards call
for comprehensive policies over the long haul,
emergency response systems can be designed
to facilitate short-run adjustments to adverse
events in ways that protect long-term choic-
es. For instance, Bolsa Família was adapted
to cover short-term emergency situations as
well. Increased conditional transfers follow-
ing the 2008 global financial crisis protected
basic consumption levels, and the conditional
nature of the transfers in turn protected the
formation of long-term capabilities by keeping
children in school and protecting their health
status.
As more-comprehensive social protection
arrangements emerge (see below), cash transfer
programmes can be feasible in terms of both
budget and social infrastructure. Part of these
programmes’ success is that they are designed
to protect capabilities. In addition, they can be
rapidly scaled up to mitigate the adverse conse-
quences of a short-run shock such as a sudden
recession or food price spike, as in Brazil fol-
lowing the 2008 crisis.
Similar examples exist elsewhere. In 2009,
struck by the great global recession, Thailand’s
GDP fell 2.3 percent. Despite this, 2007–2010
socioeconomic surveys reveal that real con-
sumption per capita rose relative to 2008 for
most groups, including poor people, urban and
rural households, men, women and children.
The losers were residents of Bangkok who
worked in exporting sectors, especially those
ages 20–29 and those working in sales and ser-
vices. During the recession school enrolment
rates did not fall, and durable goods purchases
actually rose.
In 2008 the Thai government cut taxes
by 40  billion baht, offered emergency loans
(totalling 400  billion baht), reduced energy
prices and introduced transportation sub-
sidies (at a cost of 50 billion baht). Then, in
2009 it introduced a first stimulus package
that extended the earlier policies and put in
place a supplementary budget worth 117 bil-
lion baht: Checks for 2,000  baht were sent
to low-income households, allowances of
500 baht were sent to pensioners, and public
education was made free through age 15. Half
the appropriated money had been disbursed
by May 2009, and the effect is believed to have
been pro-poor.
68
The displays of societal resilience in Brazil
and Thailand are rooted in the placement of
short-run measures to complement long-run
policies.
While persistent shocks
and hazards call for
comprehensive policies
over the long haul,
emergency response
systems can be designed
to facilitate short-run
adjustments to adverse
events in ways that
protect long-term choices
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Built-in stabilizers
Automatic stabilizers and countercyclical
policies can support living standards during
economic contractions, as in Europe since
the onset of the great recession in 2008. The
Nordic countries increased the share of GNI
going to disposable income, even as GNI was
falling because countercyclical policies main-
tained living standards. But in some European
countries—primarily those with low public
social expenditure as a share of GDP
69
—living
standards (as measured by disposable income)
fell.
70
Public social spending can smooth output
fluctuations. As OECD research has shown,
several European countries were shielded from
the full impact of the 2008 global economic
crisis due to the mitigating effects of social
transfers, tax-benefit systems and fiscal stimulus
policies.
71
For example, Norway and Sweden
were cushioned from many of the effects of
falling disposable incomes, and their faster re-
covery was thanks to cost-efficient delivery of
social services, expansionary monetary policy,
good management of resource revenues (in
Norway) and automatic stabilizers in fiscal
policy (in Sweden). Because Finland is in the
euro area, it could not use interest rate cuts
(as Sweden did) and thus suffered higher un-
employment. Norway, faced with tepid growth,
expanded its government budget in 2013. The
pressure towards lower and more-unequal
incomes was alleviated by tax benefits and
social transfers as automatic stabilizers (rise in
social transfers and falls in income taxes during
recessions). The detrimental effects of crisis on
poverty is conditional on the levels of social
spending. Social protection can have a mitigat-
ing effect, as countries with high spending on
health and education were more resilient in the
face of financial crises.
72
It is safe to conclude
that the human cost of recession was lower in
countries with universal social protection.
Social protection policies include unemploy-
ment insurance, pension programmes and
labour market regulations—such as minimum
wage laws or health and safety standards. One
argument against them is that they may gener-
ate unintended consequences. Some contend
that minimum wage laws may reduce the incen-
tive to create new jobs and that unemployment
Social protection can
have a mitigating effect,
as countries with high
spending on health and
education were more
resilient in the face
of financial crises
insurance may reduce the incentive to get
back to work.
73
Much depends on the design
of the policy. But there is considerable evi-
dence that labour market regulations have
a net benefit and reduce inequality.
74
Many
social protections have positive spinoff effects.
Unemployment insurance makes labour mar-
kets work better by allowing the unemployed
to choose jobs that better match their skills and
experience rather than forcing them to take the
first job that comes along.
75
Income support to
households encourages labour market partici-
pation by providing resources that enable peo-
ple to search for better opportunities, including
allowing members of the household to migrate
to find jobs.
76
In developed countries social insurance pro-
vides short-term and in some cases medium- or
even longer term income replacement. On the
benefit side this income replacement covers
short-term employment losses. But given the
increasing likelihood that the duration of such
losses might extend longer than expected and
the fact that unemployment (and not wage
loss) is typically insured, the benefits may be
too short and too small.
The principle of combining economic devel-
opment with social insurance programmes was
demonstrated by the successful East Asian late
industrializers. They were hugely successful at
both rapidly reducing fertility and generating
employment—allowing them to benefit from
the demographic dividend. How? Through
a combination of proactive industrial policy
and universal social policies in education and
health (although not in social welfare, which
remained minimal until the 1990s, distinct
from European welfare states). A key element
of the state-led industrial policy was that it
was rooted in nationally owned firms, regu-
lated capital accounts and a dual objective of
promoting competitiveness and generating
employment.
The rapid universalization of health and ed-
ucation helped generate employment and sup-
port industrialization. Extensive land reform
and the rapid expansion of the education sys-
tem above the primary level were also pursued
as part of the development strategy.
Following the 2008 global economic
crisis, some countries adopted measures to
increase employment and social protection,
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thus stabilizing aggregate domestic demand
and protecting vulnerable populations. The
International Labour Organization suggests
that such social protection measures created or
saved 7–11 million jobs in Group of 20 coun-
tries in 2009.
77
Social protection floors
In 2009 the Social Protection Floor Initiative
set forth a global framework for universal access
to essential social transfers and services, such as
health care, primary education, pensions, un-
employment protection and childcare.
78
The
initiative takes the view that nearly all countries
at any stage of development can provide a ba-
sic floor of social transfers, including through
better cross-sectoral coordination. It also en-
courages countries to progressively expand to
higher levels of social protection as fiscal space
allows.
79
A lower income country might start
with basic education and health care and later
expand to offer cash transfers or basic labour
protection. A higher income country with
well established basic education, health care
and conditional cash transfers might expand
eligibility for unemployment insurance to
traditionally excluded populations, such as ag-
ricultural or domestic workers, or expand leave
policies for new parents to include fathers.
Social protection floor policies reduce pover-
ty. The International Labour Organization has
estimated that in Tanzania universal old age pen-
sions and child benefits for school-age children
would reduce poverty rates 35 percent among
the entire population and 46  percent among
households with children and the elderly.
80
The approach to social protection depends
on country circumstances and resources and
varies according to level of development.
Additional levels of social protection, such as
conditional cash transfers aimed at disadvan-
taged households, add an additional, if relative-
ly small, cost to a social protection programme.
The Indian Employment Guarantee Fund cost
about 0.3 percent of GDP in 2008.
81
Providing basic social security benefits to
the world’s poor would cost less than 2 percent
of global GDP.
82
The International Labour
Organization’s 2010 estimates of the cost of
providing a basic social floor—universal basic
old age and disability pensions, basic childcare
benefits, universal access to essential health
care, social assistance and a 100-day employ-
ment scheme in 12 low-income African and
Asian countries—ranged from more than
10 percent of GDP in Burkina Faso to less than
4 percent of GDP in India.
83
Current domestic
resources covered less than 5 percent (Pakistan)
of estimated total expenditures on basic social
protection. But if basic social protection grew
to account for 20 percent of government spend-
ing, domestic resources would cover 30 percent
(Burkina Faso) to 100  percent of the total
cost (India, Pakistan and Viet Nam). A basic
social protection package is affordable so long
as low-income countries reallocate funds and
raise domestic resources, coupled with support
by the international donor community.
84
Addressing societal inclusion
In the presence of horizontal inequality spe-
cific measures are required to reach the whole
population. A mix of policy interventions has
been tried to address horizontal inequality: di-
rect interventions (such as affirmative action),
indirect measures (such as preventive laws and
sanctions) and broader inclusion (through nor-
mative and education shifts). Social institutions
reinforce government policy through greater
coordination and stronger accountability.
When civil society mobilizes to articulate the
interests of the citizenry, there is a better con-
nection between the needs of the population
and the policies of government.
Persistent vulnerability is rooted in histor-
ic exclusions. For example, Black people in
South Africa and the United States and Dalits
in India have suffered grievous wrongs, and
women across patriarchal societies continue
to encounter discrimination and exclusion
due to longstanding social norms and cultural
practices. Many countries have tried affirmative
action policies or special measures.
85
Norms
and laws that favour members of these groups
to improve their chances for equal opportunity
can make society fairer and more inclusive.
Cohesive societies tend do better than less co-
hesive societies in most aspects of human devel-
opment (figure 4.7).
86
How do societies redress
deep divisions and historically rooted exclusions?
By improving the availability of basic social
In 2009 the Social
Protection Floor Initiative
set forth a global
framework for universal
access to essential
social transfers and
services, such as health
care, primary education,
pensions, unemployment
protection and childcare
Chapter 4
Building resilience: expanded freedoms, protected choices
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BOX 4.3
Reducing vulnerability through responsive institutions
A key facet of vulnerability is often an inability to influence decisions that
affect one’s life: decisions are instead made by more-powerful actors, who
may neither understand the situation of the vulnerable nor necessarily have
their interests at heart.
1
To address this, states require the capacity to rec-
ognize the concerns of the vulnerable and react to them through appropriate
interventions. This requires, among other things, giving the poor and mar-
ginalized a greater voice in decisionmaking
2
and opportunities for recourse
when rights are violated or discrimination is encountered. Research sug-
gests that women are more likely than men to suffer from negligence, petty
corruption and harassment when they engage with state institutions.
3
Simply understanding the technical cause of a vulnerability is not
enough to design policies to reduce it. Rather, the processes that created
the risk in the first place must be identified, and the political incentives and
will to tackle them must be present. Political freedoms are a key part of this,
as Jean Drèze and Amartya Sen underlined when discussing the role of the
media in holding governments to account during famines.
4
Direct represen-
tation, social movements, and union and civil society pressures also shape
policy and political processes in the broader political economy and are im-
portant for representing the interests of vulnerable groups.
There is some evidence to suggest that state institutions can become
more responsive to the needs of the poor
5
and vulnerable when:
• Public administrations implement policies efficiently and are transparent,
accountable and responsive to users. This curbs corruption and harass-
ment, and the power of the state is used proactively to allocate resources
for public actions benefiting poor people. Some encouraging examples in-
clude civil service reforms in Botswana and South Africa, where reforms in
ministries and rationalized departments strengthened service delivery and
effectiveness.
6
• Legal systems are pro-poor when they assign and defend rights and are
accessible to poor people. Promising interventions in this context have oc-
curred in Cambodia, with the establishment of the Arbitration Council, a
national statutory alternative dispute resolution body, and in Mozambique,
with the implementation of the progressive land law, which has helped
improve poor people’s access to land.
7
• Central and local governments are aligned to ensure the delivery of public
services to all and to minimize the scope for capture by elites or dominant
groups. Various forms of decentralization are under way across countries,
which have tried to respond to the needs and interests of excluded commu-
nities. For example, the Philippines has long tried to address the rights of
indigenous people in Palawan and their claim on the forest resources, and
the Local Government Code of 1991 provided an opportunity for them to in-
teract with government institutions and participate in forest management.
8
• Governments generate political support for public action against poverty
by creating a climate favourable to pro-poor action, facilitating the growth
of poor people’s associations and increasing poor people’s political capac-
ity. Such social movements and political activism propelled Brazil’s ruling
party to undertake pro-poor policies and helped set the agenda for political
leadership in post-apartheid South Africa.
9
• Political regimes honour the rule of law, allow the expression of political
voice and enable the participation of vulnerable people in political pro-
cesses.
10
A case in point is the peaceful democratic transition in Bolivia
that brought into power the country’s indigenous majority after a long his-
tory of exclusion.
Nonetheless, the challenges in building responsive institutions are mani-
fold: from weak political will to inadequate capacities and funding of public
institutions, including the civil service and courts. Improving accountability
through transparency measures such as India’s Right to Information Act can
expose corruption and graft and boost efficiency. Increasing opportunities for
participation, through such processes as participatory budgeting and greater
representation in government, can give the excluded greater voice.
All too often governments respond to fiscal pressures at times of volatility
and crises with austerity measures that limit social spending. As discussed
in chapters 1 and 2, these measures often take the greatest toll on the most
vulnerable, who are already under pressure. And during the good times the
extra revenue from an economic boom is often returned as tax cuts rather than
being used to build up social protection reserves for the next downturn or be-
ing invested in building broader institutional capacity and systemic resilience.
Adequate provisioning alone, however, may not suffice: Institutions
themselves have to be designed to respond to the needs of all, not just the
dominant in society. While national institutions are a product of a coun-
try’s history and politics, those that often work best in different settings
enable participation and accountability,
11
are more capable of representing
the diversity in their populations,
12
are amenable to peaceful transitions
of power
13
and are able to maintain the independence and integrity of in-
stitutions like the judiciary
14
and civilian control of the military
15
through a
separation of powers and a system of checks and balances.
16
These features
are important during times of stability but are particularly important for the
protection of the rights of the vulnerable during crises.
Yet whatever the form institutions take in different societies, protect-
ing citizen rights remains seen primarily as the responsibility of the nation
state. But this may not be enough in an increasingly globalized world, where
people in one part of the world can be threatened by events and actions
elsewhere. Building responsive institutions at the national level requires a
parallel effort at the international level to support and reinforce them.
Notes
1. UN 2012a. 2. Mearns and Norton 2010. 3. UNDP 2012d. 4. Drèze and Sen 1989. 5. World Bank 2000. 6. UNECA 2010. 7. UN General Assembly 2009. 8. Seitz 2013. 9. Heller 2014. 10. UNSSC 2010. 11. McGee and Gaventa 2011.
12. Temin 2008. 13. DFID 2010. 14. UNOHCHR 2003. 15. Sulmasy and Yoo 2007. 16. Waldron 2013.
services, strengthening employment policies and
extending social protection. Yet these broader
universal policies may not target specific exclu-
sions and horizontal inequality of marginalized
groups, particularly when social norms and laws
102 | HUMAN DEVELOPMENT REPORT
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do not protect the rights of specific groups that
face discrimination in public life, including those
in political institutions and in markets.
Societies respond in different ways to pres-
sures, setbacks and disasters. Some demonstrate
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1438643_0115.png
FIGURE 4.7
Cohesive societies tend do better than less cohesive societies
Most cohesive societies
Least cohesive societies
Rep. of Korea
Sierra Leone
Reduction
80
in Human
Development
Index shortfall
60
(%)
40
20
0
–20
1980
1990
2000
2010
Source:
Easterly, Ritzen and Woolcock 2006 and Human Development Report Office estimates.
greater resilience and resources to cope with
and recover from crises. Others find themselves
in vicious traps that deepen and broaden the
impacts of such crises. Certain macro variables
can have a major impact on societies’ ability to
manage such pressures and shocks, including
economic inequality, the degree of social frag-
mentation and the adequacy of institutions,
three aspects that interact. Social cohesion can
therefore shape the quality and competency of
institutions, which in turn influences how and
whether pro-people policies are devised and
implemented.
87
impact is ambiguous—they can be seen as
perpetuating social cleavages, increasing stigma
and risking elite capture and reverse discrimi-
nation. They address some symptoms of dis-
crimination but are not always able to fix the
structural drivers behind persistent inequality.
Such measures work best when broader pro-
poor policies and sunset clauses are in place to
prevent reverse discrimination.
Brazil—the numbers look better
Brazil is attempting to reduce racial dispar-
ities
88
for its Afro-Brazilian and mixed-race
population, which constitutes more than half
of its 200  million people, by implementing
affirmative action policies in education.
89
In
August 2012 it passed a law mandating quotas
for preferential entry for Afro-Brazilian and
mixed-race students, proportional to their
weight in the local population (such as 80 per-
cent in Bahia state in the northeast and 16 per-
cent in Santa Catarina in the south), to the
country’s 59 federal universities and 38 federal
technical schools. In 1997, 2.2 percent of Black
Chapter 4
Building resilience: expanded freedoms, protected choices
| 103
Direct measures to redress
group inequality
Direct measures are commonly thought of
as affirmative action, which includes targets,
quotas and preferential treatment to improve
the discriminated group’s access to jobs, assets,
services, government contracts and political
representation. Such policies are immediate
though sometimes controversial ways of deal-
ing with historic injustices, since the long-term
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or mixed-race students ages 18–24 attended
universities; in 2012, 11  percent did.
90
The
number of posts reserved in federal universities
for underprivileged Brazilians has also doubled
under the legislation—from 30,000 to 60,000.
Education institutions have used goals and
quotas for underrepresented groups, including
women and people of colour, to increase their
diversity and create opportunities for under-
represented and vulnerable groups.
South Africa—hard to isolate a direct link
Employment policies that encourage the re-
cruitment of female or minority candidates
have increased their participation in South
Africa’s workforce. The end of apartheid left
behind a labour market that was racially organ-
ized, with skilled jobs reserved for White peo-
ple and unskilled jobs for other groups, with
systematic discrimination against Black people,
women and people with disabilities.
91
Against this backdrop, democratic South
Africa unveiled affirmative action policies to
redress labour market inequality. The 1998
Employment Equity Act offered incentives for
firms to hire people from historically disadvan-
taged groups as skilled workers. A 2009 study
documented the success in reducing both un-
employment and poverty in skilled and semi-
skilled jobs.
92
Attributing these improvements to affirma-
tive action policies remains contested. Critics
argue that these direct efforts have had only a
marginal impact on reducing employment or
wage gaps and that these improvements could
be linked to overall efforts to improve access
and quality of education for Africans and to
the employment effects of accelerated econom-
ic growth.
93
Uncontested, however, is that these
broader efforts and more-specific initiatives
have together improved South Africa’s record
in redressing structural labour force imbal-
ances, reduced the sense of historic injustice
and improved the participation of historically
excluded and disadvantaged groups.
deeper structural problems that need to be
addressed.
94
For example, the positive discrim-
ination policies favouring the ethnic Malays,
or Bumiputras, in Malaysia over the dominant
Chinese and minority Indian populations
have improved their access to education and
jobs and helped them more fully realize their
economic potential. Yet Malaysia’s Chinese and
Indian minority citizens chafe at 70  percent
quotas in university admissions, flocking in-
stead to private and foreign schools and often
staying away from the country. In 2011 about
1  million Malaysians had left the country,
which has a total population of 29  million,
most ethnic Chinese and many highly edu-
cated.
95
Some 60 percent of skilled Malaysian
emigrants cited social injustice as an important
reason for leaving.
Context is crucial
While there can be no single absolute answer
on whether affirmative action reduces group
disparities, the examples show that proactive
policies can improve conditions for vulnerable
groups and in particular contexts. The key is
that such direct measures are not merely stan-
dalone interventions but are an intrinsic part
of a broader commitment to ameliorate the
conditions of the disadvantaged and remedy
the particularities of specific group exclusions.
Success is most common in mutually reinforc-
ing contexts, where policy interventions are
embedded in larger pro-poor efforts, bolstered
by formal incentives and sanctions such as laws
and supplemented by shifts in public opinions
and social norms.
While there can be no
single absolute answer on
whether affirmative action
reduces group disparities,
the examples show that
proactive policies can
improve conditions for
vulnerable groups and
in particular contexts
Laws and norms: tackling discrimination
and influencing behaviour
Historically rooted discrimination is em-
bedded in social interactions in the public
domain, which can either enable the success of
affirmative interventions or undermine their
implementation.
96
The reason is that private
decisions and public policies are shaped by
personal and societal preferences, material and
other explicit incentives (laws) and social sanc-
tions or rewards (norms).
97
Changed laws and norms can also encour-
age desirable behaviour. For example, public
Malaysia—dealing with some unintended
consequences?
Some observers have critiqued direct measures
for being misguided and mismatched to the
104 | HUMAN DEVELOPMENT REPORT
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advocacy and legal restrictions were instrumen-
tal in the United States in changing norms
and reducing the consumption of tobacco.
Similarly, promoting hygienic practices such as
hand washing and using bednets to reduce ma-
laria transmission have helped improve public
health. Social marketing strategies for behav-
ioural change—applying private sector adver-
tising, marketing and communications—have
increasingly spurred public health victories by
bringing about changes in individual and group
behaviour.
Norm-based messages and campaigns seek to
alter people’s perceptions of what constitutes
‘acceptable’ or ‘desirable’ behaviour or values
among their peers.
98
They can determine the
legitimacy and effectiveness of policy interven-
tions, making them broad-based and credible,
especially when they seek to challenge existing
hierarchies and change power relations.
99
Targeting public values and behaviour is in-
dispensable in ensuring the effectiveness and
sustainability of social change.
mandates the development of citizen security
plans in each municipality. Similarly, the Safer
Communities Project in Croatia piloted an
approach that identified the lack of recreational
facilities for young people as contributing to
insecurity. An old playground was refurbished
as a meeting place for young people and in-
cludes a skateboard park and activity grounds.
In a highly divided post-conflict community of
Croatians and Serbs, this has become a meeting
place for young people from both sides and has
helped build bridges between these clashing
communities.
101
Norm-based messages
and campaigns seek
to alter people’s
perceptions of what
constitutes ‘acceptable’
or ‘desirable’ behaviour
Civil society mediation with states
and markets
People mobilize, even in the face of insur-
mountable challenges and embedded inequal-
ity, to improve on situations and make social
institutions more relevant to their needs. Civil
society has been effective in holding states
politically accountable for delivering pro-poor
development. But this is possible only when
there are opportunities for participation with
transparency and accountability. An empirical
review of 96 countries suggests that participa-
tory political regimes mediate social conflicts
more effectively and induce compromise
among citizen groups. The review argues,
“Democracy makes us less selfish and more
public spirited.”
102
Another econometric study
of 82 developed and developing countries
concluded that state capacity to undertake
effective policy action is not an issue of tech-
nocratic competence and political will alone.
103
The political space for decisive public action is
also greatly influenced by social cleavages and
conflict. Such social divides can lead to varying
levels of trust in public institutions and influ-
ence their performance.
Individuals can exert greater pressure by mo-
bilizing as groups—producer groups, worker
associations or social movements. They can
take collective action and bargain more effec-
tively either within markets or with their em-
ployers or the state. Economically vulnerable
groups often organize collectively—whether as
businesses, smallholder farmers, pastoralists or
fisher folk. They can promote fair trade prod-
ucts or support cooperative movements for
local producers. New forms of collective action
Chapter 4
Building resilience: expanded freedoms, protected choices
| 105
Addressing violent conflict by transforming
norms and extending inclusion efforts
Building on the lessons from conflict countries,
the international community has tried to inte-
grate security and development interventions—
to reinforce community security through
social cohesion. A wide range of state and civil
society actors collectively develop coordinated
responses to threats at the community level and
build an enabling environment at the national
level. These social cohesion and community
security approaches emphasize increasing
participatory engagement, improving service
delivery, reducing social exclusion through
enhanced relations between social groups and
strengthening democratic governance.
100
In Guatemala’s Santa Lucia Municipality,
a Citizen Security Commission coordinated
an action plan that banned carrying guns in
bars, controlled alcohol sales, improved street
lighting, introduced community-based po-
licing, reclaimed public spaces and addressed
vagrancy. Within two years the homicide rate
dropped from 80 per 100,000 people to less
than 50. Given this success, a new national law
established the National Security Council to
coordinate the reform of the security sector and
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A key aspect of state–civil
society interaction
is how civil society
influences pro-people
policies and outcomes
and new civic energies now engage politically
at the local level—for participatory budgeting
processes in Porto Alegre, Brazil, for the Right
to Information Act in India and for social au-
dits, which have increased the transparency and
accountability of local authorities disbursing
public funds for relief schemes.
A key aspect of state–civil society interac-
tion is how civil society influences pro-people
policies and outcomes. Brazil embarked on
development and democratic consolidation
with the backdrop of inequality, racial and
ethnic divides. The government implemented a
mix of policy interventions aimed at boosting
the job market, targeting government spending
and cash transfers, expanding universal primary
schooling and redressing gender and racial dis-
parities. Infant mortality was cut almost in half
between 1996 and 2006, and the proportion
of girls in primary school rose from 83 percent
to 95 percent between 1991 and 2004. Brazil’s
efforts to reduce its longstanding inequality by
promoting income redistribution and universal
access to education, health care, water supply
and sanitation services also improved child
nutrition, resulting in a large reduction in
child stunting for the poorest 20 percent of the
population.
104
Throughout these efforts, Brazil’s civil society
remained autonomous of political parties, hav-
ing fostered a range of participatory institutions
and processes that influence public policy and
hold the state apparatus accountable for local
results. In Brazil’s Landless Workers Movement
(Movimento dos Trabalhadores Sem Terra, or
MST), cooperatives organized settlements on
expropriated land for roughly a million families,
with hundreds of MST-built schools enabling
tens of thousands of people to learn to read and
write.
105
MST’s support was crucial in bringing
the Workers Party to power in 2002, which led
to greater expenditure on basic services, cash
transfers and expanded access to education. In
2001–2007 the poorest six deciles that previ-
ously accounted for 18 percent of income ac-
counted for 40 percent of total income growth,
and the Gini coefficient of inequality fell from
0.59 in 2001 to 0.53 in 2007.
106
And in Bangladesh civil society has grown
over the decades into one of the world’s larg-
est nongovernmental organization sectors,
driven in response to the country’s numerous
challenges, including its frequent natural dis-
asters. Nongovernmental organizations have
found a niche in the gap between society and
state, seeking to promote people’s welfare
through grassroots initiatives. They also serve
as important service delivery mechanisms
and implementing partners, especially during
environmental disasters and devastation, for
programmes ranging from relief and rehabilita-
tion to microcredit loans to women’s empow-
erment. While the expansion of civil society in
Bangladesh is reflective of on-the-ground reali-
ties, it also raises questions about the links with
political society and the state. The resources
being placed towards building more-effective
and  -sustainable state institutions remain
wanting—and civil society has evolved faster
and with greater capacity and reach than the
formal institutions responsible for service pro-
vision and delivery. Until those institutions are
equally revitalized and energized, the nongov-
ernmental organization sector in Bangladesh
will remain an indispensable capacity resource
for building social resilience.
Nonetheless, in going beyond local and
community mobilization, further examina-
tion is needed of the aggregate impact that
civil society and public activism can have on a
country’s governance institutions and overall
development performance. This raises impor-
tant observations about the ways that local and
micro-level experiences of social mobilization
can be scaled up in terms of impact and about
how they relate to the macro-level issues.
107
Reviews of social mobilization experiences
highlight the disconnect between such largely
local initiatives and their wider development
impact. This requires closely examining the
barriers at the national level to substantial scal-
ing up and devising new and creative models
of civic engagement and social mobilization,
such as social enterprises that engage the poor
as investors and shareholders.
108
Civil society and broader social mobilization
can exercise voice in claiming intrinsic rights
and in promoting progressive public actions
and policies. Their resilience can be furthered
by states that create an enabling environment
and space for a vibrant and engaged civil socie-
ty. Civil society neither can nor should replace
state institutions. However, a positive and
symbiotic relation between the two goes a long
106 | HUMAN DEVELOPMENT REPORT
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way in strengthening both. Civic participation
therefore is an indispensable and central driver
in activating formal and informal social institu-
tions to respond to public needs and demands,
making them equitable and efficient in their
response to vulnerability.
Disaster risk reduction and response
Natural disasters expose and exacerbate vul-
nerabilities, such as poverty, inequality, envi-
ronmental degradation and weak governance.
Countries and communities that are under-
prepared, that are unaware of risks and that
have minimal preventive capacity suffer the im-
pact of disasters far more severely. Poor coun-
tries also tend to suffer disproportionately. In
the last 20 years at least 1.3 million people have
been killed and 4.4 billion affected by disasters,
which have cost the global economy at least
$2 trillion.
109
However, the loss of lives owing
to natural disasters has declined due to early
warning and response systems. For example,
in Bangladesh a severe cyclone in 1991 caused
nearly 140,000 deaths, while a 2007 cyclone of
similar magnitude killed 4,234 people. The re-
duction in cyclone-related deaths was achieved
mainly by improving early warning systems,
developing shelters and evacuation plans, con-
structing coastal embankments, maintaining
and improving coastal forest cover and raising
awareness at the community level.
110
Greater efforts are needed to strengthen na-
tional and regional early warning systems. The
key areas for action identified at the Second
Conference on Early Warning in 2003 were
better integration of early warning into devel-
opment processes and public policies; better
data availability for investigating, forecasting
and managing risks on different time scales;
better capacity and stronger early warning
systems, particularly in developing countries;
development of people-centred early warning
systems; and programmes for when shocks
occur.
111
Regional cooperation on early warn-
ing in particular can be highly effective, since
natural hazards often affect multiple countries
simultaneously. Early warning is a major ele-
ment of disaster risk reduction. It saves lives
and reduces economic and material losses from
disasters. The Hyogo Framework for Action
highlights the importance of, and makes clear
commitments to, local, national and regional
early warning mechanisms that provide real-
time and understandable warnings to risks with
clear directions for response actions.
No matter how well a country is prepared and
how good its policy framework is, shocks occur,
often with inevitable and highly destructive
Upgrading capacities to prepare
for and recover from crises
The social and physical environments in which
communities live and seek to thrive are wrought
with complexity and unpredictability. Despite
available knowledge on the earth’s physical fault
lines, the frequency and intensity of geophys-
ical hazards remain largely unpredictable, and
climate change is exposing parts of the world
previously considered safe to the destructive
effects of meteorological hazards. No matter
how effective policies are at reducing inher-
ent vulnerabilities, sudden onset hazards will
occur, including low-probability high-impact
disasters like the 2010 earthquake in Haiti.
As the Arab Spring has shown, even in-depth
knowledge of the factors that can trigger social
unrest and violent conflict in a given society is
no guarantee that violent conflict will always
be predicted and prevented. Shocks like these
can have inevitable and potentially destructive
consequences for human development progress
and resilience of countries, communities, fami-
lies and individuals.
Vulnerabilities are exposed by shocks and
underlying conditions. While it is natural to
respond to a crisis when a shock occurs, there
is equally a need to follow up by developing a
more comprehensive response to future crises.
Policies to prevent, respond to and recover
from crises must become an integral part of
human development policies and strategies,
especially in noncrisis settings, rather than
relying on ad hoc emergency relief in affected
communities. When policies are oriented to-
wards emergency response, mitigation can be
overlooked, and shocks can re-emerge with po-
tentially larger impact and greater subsequent
costs of protection. Emergency response efforts
are important and necessary, but comprehen-
sive efforts to enable communities to better
prepare for and recover from shocks and crises
are a fundamental building block of resilience.
Vulnerabilities are
exposed by shocks and
underlying conditions
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When recovery
processes are partial
and not oriented towards
enhancing resilience, the
impact of the disaster
can be long lasting and
have ongoing effects
on entire generations
consequences. The key objective is then to
rebuild while increasing social, material and
institutional resilience. Responses to extreme
weather events have been complicated by weak
institutions and conflict. The first response to
any crisis is inevitably humanitarian. The way
in which humanitarian assistance is delivered
matters because it sets the foundation for tran-
sitioning to longer term rehabilitation and res-
toration. An early recovery approach needs to
draw the main strands of the humanitarian and
development responses together, ensuring that
the response strategy can deliver early needs
without compromising the longer term need for
state capacity and responsive delivery.
The resilience of a country includes its capac-
ity to recover quickly and well from disasters.
This entails managing the immediate effects
of the disasters as well as implementing spe-
cific measures to avoid further socioeconomic
consequences. Societies unprepared to handle
shocks often incur damages and losses that are
much more extensive and prolonged. For in-
stance, the Haitian earthquake cost the equiv-
alent of 120  percent of Haiti’s GDP, setting
back decades of development investments.
112
Yet even this does not capture the full depth of
impact nor the length of time required to fully
recover. When recovery processes are partial
and not oriented towards enhancing resilience,
the impact of the disaster can be long lasting
and have ongoing effects on entire generations.
Resilience is about transforming the structures
and systems that perpetuate fragility and under-
mine resilience. External shocks can sometimes
provide an incentive to initiate this transforma-
tion. This may require integrating measures of
preparedness and recovery into laws, policies and
institutional mechanisms that enable a country
or community to operate. When backed up with
budgets and resources, this allows for the inclu-
sion of risk reduction concerns at each level of
the development process, from the community
to the national government. In this way, disaster
risk reduction is not an additional expense or
adjunct but a core component built into devel-
opment from the onset.
Conflict prevention and recovery
An effective strategy for enhancing resilience
in conflict-affected areas and for preventing
108 | HUMAN DEVELOPMENT REPORT
2014
conflict from occurring is to strengthen social
cohesion. But building social cohesion in
conflict-prone countries or in communities
recovering from conflict is particularly chal-
lenging. Social fragmentation may be high,
livelihoods may be threatened and institutions
are often fragile and ill-equipped to devise
and implement policies that reduce divisions
(see box 4.4). That said, countries as diverse
as Bolivia, Kenya, Nepal, Peru, Kyrgyzstan,
Timor-Leste and Togo have invested in meas-
ures to build trust, collaborate and promote
dialogue through credible intermediaries and
‘infrastructures for peace’. These measures have
led to positive results, including peaceful polls,
fewer conflicts related to land and natural
resources, and the mitigation of intergroup
tension.
113
While efforts to build social cohesion vary
according to context and national circumstanc-
es, four common elements can be identified:
•
Increasing public awareness and access to in-
formation.
Efforts can be made to increase
public advocacy in favour of peace, devel-
opment and less-contentious politics. In
2006 Guyana experienced its first violence-
free national election since independence.
Instrumental to this outcome was the Social
Cohesion Programme implemented in
2002 in response to past violence.
114
The
programme was based on a national conver-
sation around governance that was led by the
president, systematic efforts at the communi-
ty level to improve interethnic relations and a
sustained public campaign aimed at creating
a stronger and more peaceful sense of nation-
al identity. Subsequently, the 2011 election
was also peaceful.
•
Credible internal intermediaries and me-
diators.
Independent, objective bodies
can build trust and confidence among
conflicted or polarized groups or sectors
and facilitate consensus on specific issues
of national importance. Ghana’s national
elections in 2008 and 2012 both saw an
active role by the National Peace Council,
a body first established in 2006 as an auton-
omous platform for facilitating dialogue
and providing mediation in disputes over
politics and identity and for supporting
peaceful elections. This role was recognized
publicly by all leaders in the country and in
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the region by the West Africa Network for
Peacebuilding.
More recently, Tunisia has been seeking
to manage its post–Arab Spring transition.
Sporadic political violence has not inflamed
further tensions; secular and Islamist parties
have found ways to work together within a
pluralist political framework. An impor-
tant factor in this transition has been the
Tunisian General Labour Union’s service as
an intermediary. Founded in 1948 and hav-
ing a deep reach into all segments of Tunisian
society, the union has used its position to
orient political discourse away from conflict
and towards social and economic challenges.
•
Local committees and citizen groups.
Community groups can build trust at the
local level by helping prevent conflict. In
both Guyana and Tunisia citizen groups pro-
vided monitors and mediators who helped
build trust and defuse tensions before larger
issues arose and vitiated the political process.
Ghana’s National Peace Council is formally
associated through legislation with similar
bodies at the regional and district levels. In
Yemen youth organizations have connected
young people and offered social support in
searching for jobs, dealing with financial
problems and organizing community activ-
ities. Participation has helped build social
cohesion by instilling habits of cooperation,
solidarity and public spiritedness.
115
•
Rebuilding livelihoods.
Experience has shown
that support to livelihoods and economic re-
covery can build social cohesion. Livelihood
support enables affected communities and
individuals to recover in the short term and
makes them more resilient to the challenges
of future crises. Employment opportuni-
ties can create a sense of trust that is much
needed in conflict areas. Cross-country
analysis from Europe and Latin America
suggests that employment can lead to trust
in others and institutions.
110
Communities
in crisis and post-crisis situations face many
economic and social challenges, including
at times the reintegration in the short term
of ex-combatants in the aftermath of armed
conflict and internally displaced persons and
refugees. Re-creating employment oppor-
tunities and livelihoods can help stabilize
communities and prevent subsequent lapses
into violence.
Efforts to strengthen social cohesion are
not reflected in any substantial manner in
post-conflict peace-building, with the bulk of
investment being in elections or the physical
requirements for economic recovery. Essential
as these investments are, the peaceful resolution
of future disputes and crises will require system-
atic capacities for collaboration—and a new
political culture—among groups that are used
to advancing their interests through conflict
and deadlock rather than negotiation. A grow-
ing emphasis on national dialogue processes is
a welcome change in this direction. However,
considerable investments in social cohesion,
with systematic monitoring and assessment of
impact, are needed to sustain these initial gains.
*
*
*
Employment opportunities
and livelihoods can help
stabilize communities
and prevent subsequent
lapses into violence
Like most of its analysis and data, this chapter’s
policy recommendations, important as they
are, are all for national governments. But as
has been seen many times, many threats and
hazards go beyond national boundaries. It is
time to ensure that national and international
efforts are aligned, by getting governments and
international bodies to work together better
and with mutually supportive commitment
towards reducing vulnerabilities.
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“The difference between what
we do and what we are capable
of doing would suffice to solve
most of the world’s problems.”
Mahatma Gandhi
“Stepping onto a brand-new path is
difficult, but not more difficult than
remaining in a situation, which is
not nurturing to the whole woman.”
Maya Angelou
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5.
Deepening progress: global goods
and collective action
This chapter focuses on the global aspects of vulnerability and how they link to national, community and individual vulner-
abilities. It calls attention to the manifestations of vulnerability that accompany wider and deeper interdependence. And it
takes the position that far more can be done to make globalization work for people.
Globalization as practised is not benefiting
enough people, and in some cases integration
is producing new vulnerabilities. Consider the
chronic disparities in human development di-
mensions around the world, the very high share
of people in vulnerable employment in some
regions and the unpredictable shocks that can
have global reach, such as pandemics, natural
disasters, armed conflicts and financial insta-
bility. Globalization may have yielded many
winners and overall gains. International links
and multilateral agreements can foster knowl-
edge sharing and mutual assistance—and in
many cases enhance resilience. The dense global
network of institutions and relationships char-
acteristic of today’s world can be taken advan-
tage of to increase resilience. But not all people
have had the voice or resources to influence the
direction of change or benefit from global inte-
gration, and multilateral actions have been slow
to respond to the world’s growing challenges.
Today, an increasing number of insecurities
require global and regional collective action.
Financial systems can be better regulated. Trade
talks can be unblocked. Markets can be subject
to codes and standards. Climate change can
be mitigated. Processes are under way to build
more-resilient systems, but the provision of im-
portant public goods can be further improved,
and global governance systems can be refined.
The chapter examines how transnational in-
tegration generates new vulnerabilities just as it
provides new opportunities for greater human
development and resilience. It underscores the
commonalities among emerging vulnerabilities,
such as the underprovision of public goods
(including universal social protection and an
effective climate regime), and the shortcomings
in the architectures for global governance that
permit threats like excessive financial volatility.
It also considers existing global initiatives and
contributes to the post-2015 agenda discus-
sions by suggesting the types of public goods
that can enhance the capacity of countries and
people to cope with adverse events—and the
types of governance improvements that will
reduce the likelihood and impact of shocks.
All this is linked to the ways national gov-
ernments can open policy space to make their
countries and people more resilient. An overar-
ching message is that greater systemic resilience
needs an international commitment to the pro-
vision of public goods that make people more
secure, achieved through collective action by
individuals, communities and states.
Transnational vulnerabilities
and common threads
Transnational integration of systems of trade,
finance, migration and communications has
supported progress in human development,
offering opportunities to enter global markets,
spur innovation through sharing knowledge
and technology, and tap into transnational
networks. Connecting people and pooling
global resources and capacities afford tremen-
dous opportunities to reinforce the resilience
of individuals, countries and the world. But
transnational risks appear to be intensifying.
Chapters 1 and 2 warn against global trends
that could undermine long-term human
progress—from changing weather patterns
and the increasing frequency and intensity of
natural disasters to the spread of conflict and
communicable diseases and to the volatility
in financial asset prices, commodity prices
and capital flows. Chapter 2 cautioned that
food price volatility and financial volatility are
threatening people’s livelihoods and weaken-
ing social cohesion.
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The scope and scale
of connectivity and
related insecurities are
accelerating, and there
are threats of global
contagion. The national
policy space to enhance
coping capacities is
increasingly constrained
Each of these threats is unique, but they
share some common aspects, and understand-
ing them can orient collective action towards
efficient and effective solutions. The scope and
scale of connectivity and related insecurities are
accelerating, and there are threats of global con-
tagion. The national policy space to enhance
coping capacities is increasingly constrained.
And global systems are compromising individ-
ual capabilities. The underlying causes of most
transnational vulnerabilities are the underpro-
vision of public goods and the shortcomings
of international governance. Public goods, and
appropriate policies and institutions, can tilt
the balance towards greater resilience.
not been matched by measures to reduce emerg-
ing vulnerabilities—to prevent shocks, enhance
capabilities and protect people’s choices. For
example, the integration of production along
global value chains has brought much needed
jobs, but competition to attract investment can
also risk a race to the bottom for labour and
environmental regulations (box 5.1).
Risks of contagion.
Shocks—even policy
changes—in one country can have global reach,
with a direct bearing on individual capabilities
and choices, potentially jeopardizing develop-
ment progress in communities and countries
far away. In 2008 the collapse of a bank in New
York triggered a global financial crisis. In 2010
a volcano in Iceland disrupted air travel in
Europe and left fresh produce rotting in Latin
America and Africa, costing Kenya 5,000 farm-
ing jobs and $1.3 million a day in the flower
sector alone.
5
In 2011 a tsunami off Japan cut
the supply of car components to US automo-
bile manufacturers, compounding recession-
ary employment insecurity for thousands of
workers.
6
In 2012 conflict in the Democratic
Republic of Congo, Mali, South Sudan, Sudan
and the Syrian Arab Republic forced 1.1 mil-
lion refugees into surrounding countries.
7
In
2013 the collapse of a building in Bangladesh
unleashed civil protests against department
stores in Europe and North America.
Constrained policy space.
Global integration
can shrink national policy space and constrain
national capacities to address vulnerability.
International competitive pressures may restrict
government choices, making it more difficult to
create and protect jobs or to provide universal
education, health care and social protection. In
the 1950s and 1960s states may have set their
sights on full employment, but today they
often limit their ambition to unemployment
insurance, which, while important, offers much
less social stability. As part of the post-2015
agenda, collective agreements on employment,
social services and social protection could ex-
pand national policy space and empower gov-
ernments to adopt the policies recommended
in chapter 4 to reduce vulnerability.
Global exposure.
People’s livelihoods, personal
security and well-being are exposed not only
Rising threats
Accelerated connections and insecurities.
Transnational integration and its related
threats are not new, but they are accelerating.
Human beings have always been vulnerable to
the spread of disease. In the 14th century cara-
vans and merchant ships transported the Black
Death across continents, inflicting huge losses
of life across Asia and Europe. But the pace of
transmission has increased dramatically, with
jumbo jets transporting avian influenza across
the world in hours.
The world has also long been characterized
by global and regional economic, political
and social connections now referred to as glo-
balization. But such global connectivity has
accelerated in recent years. Between 1999 and
2012 the global trade to GDP ratio increased
from 37 percent to 51 percent.
1
Between 2000
and 2013 the number of international mi-
grants rose from 175 million to 232 million.
2
Financial flows between countries increased
from 31  percent of all flows in 1970 to over
180 percent in 2007.
3
Foreign exchange mar-
kets operate 24 hours a day, five days a week,
and trades averaged $5.3 trillion a day in April
2013.
4
The production of many goods and
services spans continents in globally integrated
value chains. Social networks like Facebook
and Twitter boost the potential to extend social
spaces across wider geographies.
These trends have brought important benefits
and opportunities to many. But in areas ranging
from finance to security and to the environ-
ment, the pace and scale of connectivity have
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BOX 5.1
Global value chains—pros and cons
Production processes have become highly dispersed and fragmented along
global value chains. For many products the provision of raw materials, the
production of components, and the assembly, marketing and delivery of fin-
ished goods take place in different countries, often in different regions of
the world. Today, about 60 percent of global trade, or about $20 trillion,
consists of trade in intermediate goods and services.
1
Participating countries
can benefit from jobs, exports and foreign direct investment that can bring
much needed capital and technology. This may enhance resilience, but these
links are complex, and new vulnerabilities may also emerge.
Nice profits if you can get them
Global value chains may present distributional issues linked to wages,
profits and the number of jobs. A study of Apple’s iPod value chain found
that most jobs were in Asia, while the majority of wages were paid in the
United States. In 2006 China accounted for 30 percent of iPod-related jobs,
but Chinese workers took home only 3 percent of iPod-related employee
earnings.
2
The share of profits and input costs for the iPhone follows a similar pat-
tern. Evidence from 2010 shows that Apple is by far the biggest beneficiary
of iPhone production. Chinese labour, while benefitting from access to jobs,
gets less than 2 percent of the final sale value (see figure).
3
Hazardous low-paid work
Poor working conditions are a reality for many workers who are not part of
global supply chains, but competitive pressures in global production systems
can exacerbate poor conditions, especially for low-skilled workers. While
some workers may benefit from formal jobs in multinational corporations,
the economics of value chains has encouraged the formation of third-party
contractors that provide flexible low-cost workers, sometimes even through
coercive means. In the worst cases these workers are victims of debt bond-
age and people smuggling.
4
Governments understandably want to encourage private investment
and job creation, but in the process they have tended to give industry a free
rein, through deregulation, privatization, financial incentives and lax applica-
tion of public ordinances. States may then be in a difficult position if they
can attract investment and increase employment only by relaxing labour or
environmental laws, which risks a global race to the bottom. Indeed, there
is evidence that during the 1980s and 1990s the enforcement of labour laws
across countries declined in response to competition for foreign direct in-
vestment.
5
Many multinational companies have codes of conduct, but these
encompass mainly their own branches and affiliates and do not always cover
second-tier or other suppliers.
6
The lax posture of governments and companies is now being challenged
by investigative reporting, civil society advocacy and consumer backlash. In
the apparel industry, civil society groups and trade unions have successfully
challenged the corporate sector to improve the governance of supply chains:
For example, more than 150 retailers have signed the legally enforceable
Accord on Fire and Building Safety in Bangladesh, which was issued in
2013.
7
Who profits from iPhones?
Share of iPhone
sales price (%)
Cost of inputs: non-China labour
3.5%
Cost of inputs: China labour
1.8%
Cost of inputs: materiels
21.9%
Unidentified profits
5.8%
Republic of Korea profits
4.7%
Japan profits
0.5%
European Union profits
1.1%
Non-Apple U.S. profits
2.4%
Apple profits
58.5%
Source:
Human Development Report Office calculations based on Kraemer, Linden and Dedrick (2011).
Notes
1. UNCTAD 2013. 2. Calculated from tables 2 and 3 in Linden, Kraemer and Dedrick (2011). 3. Human Development Report Office calculations based on Kraemer, Linden and Dedrick (2011). 4. Barrientos 2013. 5. Davies and
Vadlamannati 2013. 6. UNCTAD 2012a. 7. Bangladesh Accord Foundation 2013.
to changes in local conditions, but also to
global and regional structures and events.
Insecurities that transcend borders become rel-
evant—whether the risk of losing a job during
a global recession, uncertainty about access to
sufficient sources of daily nutrition when global
food prices suddenly shift or concerns about
personal safety amid spreading social unrest
and conflict. People are also moving across na-
tional borders in larger numbers and exposing
themselves to new insecurity and unfamiliar
social contexts (box 5.2). Many threats that af-
fect life cycle vulnerabilities, structural vulner-
abilities and personal insecurities (chapter  3)
can be linked to global events and systems.
And building resilience requires, in addition to
the national actions recommended in chapter
4, global action and coordination to increase
national policy space and reduce the threat of
global shocks.
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BOX 5.2
International migration
Migrants are among the most vulnerable to myriad risks and obstacles. In
2013, 232 million people were living outside their home countries.
1
In both
developed and developing countries migrants, particularly undocumented
workers, find themselves in vulnerable situations. They may be excluded
from normal worker protections and prohibited from joining local unions.
They may lack access to social protection programmes that provide a buffer
against the vicissitudes of the job market. And they may be subject to racial,
ethnic and religious discrimination and social exclusion.
Even the process of migrating is rife with risk. Consider the 300 Eritrean
migrants who perished when the boat ferrying them capsized near the
Italian island of Lampedusa in October 2013—or the asylum seekers held in
processing centres in Papua New Guinea and Nauru the same year.
2
Family
structures and relationships at home can also be eroded. Of particular con-
cern from a life cycle perspective are the impacts of migration on children:
a higher likelihood of suffering abuse, more involvement in illegal activities,
future drug and alcohol abuse and paying reduced attention in school.
3
A special category of migration that leaves people especially vulnerable
is caused by armed conflicts and populations fleeing harm and persecution.
The number of people displaced by conflict has increased in recent years and
is the highest in nearly two decades.
4
Additional groups of refugees are flee-
ing natural disasters, and numbers are likely to rise due to climate change.
There have been discussions about where citizens of small island developing
states will go if sea level rise makes their home country uninhabitable, and in
many cases asylum status has been rejected.
5
On top of the vulnerability for
undocumented migrants, refugees face the additional challenge of not being
allowed to work in most receiving countries, and they are frequently housed
in temporary settlements with poor services and insecure conditions.
Managed migration can reduce some of the risks facing migrants. For
example, the Republic of Korea’s Employment Permit System addresses
home labour shortages while protecting migrant workers’ rights and enhanc-
ing the transparency and security of the migration process.
6
But bilateral
arrangements have limited reach, given the scale and scope of migration.
And such programmes target mainly documented migrants rather than more-
vulnerable undocumented migrants.
Migration-related vulnerability needs to be addressed collectively
through an international migration regime. National regulations are insuf-
ficient for handling the multiple categories and risks of immigrants, refugees
and displaced and stateless persons. Greater efforts are needed to develop
consensus on treating migration as a global public good, to codify shared
interests and common goals—particularly for protecting human rights and
reducing the costs of migration and of sending remittances—and to improve
public perceptions of immigrants and migration. Lowering the costs of send-
ing remittances can also help receiving countries achieve greater macroeco-
nomic stability.
7
Civil society and nongovernmental organizations have engaged govern-
ments in dialogue and cooperation on particular issues (such as trafficking
in people). A broader approach can build on this progress and include norm-
setting and the elaboration of an international regime on migration. The
recent UN dialogue on migration is a welcome initial step, and efforts to
include migration in the post-2015 development agenda are encouraged.
8
Notes
1. United Nations Population Division 2013. 2. UN News Centre 2013a, 2013b. 3. UNICEF 2007. 4. Internal Displacement Monitoring Centre 2013. 5. Welford 2013. 6. ILO 2010b. 7. Bettin, Presbitero and Spatafora 2014. 8. UN 2013a.
Common causes
Transnational vulnerabilities can all be viewed
as expressions of the same problems: the un-
derprovision of the types of public goods that
enhance coping capabilities, and the mismatch
between the extent of global integration and
global challenges and the capacity of govern-
ance architectures to prevent or minimize
shocks. A single country has limited capacity
to independently reduce such vulnerability be-
cause global goods, such as climate stability, are
best provided through global collective action.
And yet, national policymaking is the primary
avenue states take to address vulnerability. And
in some cases the provision of important public
goods is simply left to the market.
8
The national
orientation of public policymaking is increas-
ingly at odds with the global nature of policy
challenges.
At a time when the international system
of governance is called on to foster climate
114 | HUMAN DEVELOPMENT REPORT
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stability or reduce the likelihood of yet an-
other financial crisis, cooperation is in many
cases ad hoc, fragmented and dispersed across
silos of governance organized around particu-
lar issues. The international community faces
many distractions—economic troubles, armed
conflicts and discord among major powers.
International organizations are encumbered
with funding shortfalls and escalating demands
for humanitarian relief. While responses to nat-
ural disasters and humanitarian crises are often
swift, there is less momentum towards solving
longer term global issues. For this, collective
action warrants a comprehensive view that
extends beyond immediate threats and shocks
and addresses underlying causes and longer
term impacts.
Underprovision of global goods.
How can
the global community ensure the provision
of goods that enhance resilience? Many
goods have social value and can reduce
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vulnerability—malaria research, pollution
reduction or agricultural innovations to reach
poor farmers—but are undervalued by mar-
kets. Managing and controlling food price
volatility, global recessions and climate change
are also essential public goods that markets are
ill-equipped to provide. The recent trend has
been to encourage markets to generate private
goods that achieve desired global goals. But
private goods cannot sufficiently provide key
public goods to reduce vulnerability.
9
The mar-
ket is particularly unsuited to adjusting global
governance architectures to reduce shocks and
build resilience. Universally providing certain
essential goods demands collective action
among states, since no single country or com-
munity can alone resolve global market failures.
The need for global public goods is well
documented.
10
The underprovision of global
public goods—ranging from communicable
disease control to adequate global market
regulations—permits shocks that have regional
and global reach. In addition to traditional
global public goods to reduce vulnerability,
there is a need for ‘global merit goods’ or ‘uni-
versal social goods’, goods essential for social
stability and continuing progress.
11
Minimum
levels of social protection and commitments
to provide social services can be thought of as
global merit goods—universally provided at
the national or transnational level to improve
equity and reinforce shared global values.
12
These types of goods offer protection to vul-
nerable groups, and when they are provided
in combination with global public goods that
reduce the likelihood of shocks, they can build
resilience at the global level.
Multilateral efforts are facilitating coopera-
tion to provide some of these goods, but they
are weak in relation to the scope of the chal-
lenges and vulnerabilities. And they are weak in
relation to the momentum of markets, the pace
of commodification and the power of private
interests. Global public goods and universal
social goods that would correct or complement
markets for more-inclusive and -sustainable
growth remain largely underprovided.
Global collective action to provide public
goods is clearly feasible. Take the eradication
of smallpox. Beginning in 1966 the World
Health Organization led a collective global
programme of universal vaccination, vigilant
surveillance of new cases and containment of
sporadic outbreaks. The cost was low, but by
1980 the programme had eradicated the dis-
ease.
13
This example spurred similar collective
action on other diseases and, thanks to medi-
cal advances and a worldwide effort of health
preparedness, countries are more resilient to
pandemics. There are also productive pub-
lic-private cost-sharing initiatives to advance
public health, such as those sponsored by the
Bill and Melinda Gates Foundation
14
and the
mobilization of private sources by Médecins
Sans Frontières to support medical humani-
tarian aid and make antiretroviral drugs more
accessible and available.
15
The task now is to extend this kind of col-
lective defence to other transnational risks—
reconfiguring global systems and governance
architectures so that they continue to provide
connectivity and efficiency but also support
the provision of essential global and national
public goods. A global conversation is needed
about what goods and which people markets
leave behind and what goods might be brought
into the public arena to build a more resilient
global development trajectory.
Architectural deficits of global governance.
Despite efforts to act and cooperate at the
global level, structural deficits in governance
architectures for handling global risks and
making people more secure are limiting the
pace of progress (box 5.3). There is a mismatch
between governance mechanisms and the vul-
nerability and complexity of global processes.
Today’s fragmented global institutions are not
accountable or fast-acting enough to address
global challenges.
16
They typically work in an ad
hoc manner with neither the mandates nor the
resources to tackle global threats. Institutions
and regulations also target particular issues,
sometimes producing spillovers across policy
domains—for example, trade policies can affect
health by limiting access to certain types of
drugs, and fiscal policies that exacerbate ine-
quality can affect security.
In many respects, the shortcomings of
global governance architectures in reducing
vulnerability stem from deep asymmetries of
power, voice and influence. Many international
governance institutions and structures were
designed for a post–Second World War order,
There is a mismatch
between governance
mechanisms and
the vulnerability
and complexity of
global processes
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BOX 5.3
Systemic barriers to collective action
The mismatch between the scale and urgency of global issues and the ca-
pacity of existing governance architectures to address these problems is
not unique to any particular issue area. Gridlock in global governance is a
systemic and historically contingent process, not an idiosyncratic phenom-
enon particular to a certain issue. But global issues are often discussed in
silos, as if the barriers to collective action were unique to each problem. This
perspective may undermine the search for solutions because it assumes that
problems can be solved independently. In practice, of course, policies ad-
dress specific issues. But the standstill in global governance across multiple
issues, from slow progress on climate change to the stalemate in the Doha
Round of trade negotiations, are systemic problems that can be summed up
as growing multipolarity, institutional inertia, harder problems and institu-
tional fragmentation.
Growing multipolarity
The number of states has grown over the last half century, as has the number
whose cooperation is essential for resolving a global problem. The transaction
costs of global governance have also grown. When the Bretton Woods organi-
zations were formed in 1945, the rules of the world economy were essentially
written by a small group of world powers. Today, the Group of 20 has become
an important forum for global economic management, because problems can-
not be solved without commitments from a larger group of countries. The in-
clusion of more countries in global decisionmaking should be celebrated, but
the transaction costs of global governance are higher.
Institutional inertia
When key pillars of the post–Second World War governance order, including
the UN Security Council and the Bretton Woods institutions, were designed,
special privileges were granted to countries that were wealthy and pow-
erful at the time. The objective was to ensure the participation of certain
Source:
Hale 2014; Hale, Held and Young 2013.
countries in global governance. Today, with the rise of the South, power has
shifted away from the world order of the 1940s, so a broader range of par-
ticipation and a more universally inclusive approach would be appropriate
to deal with most global issues. But because few governance institutions
were designed to naturally adjust to geopolitical fluctuations, institutions
will not easily adapt.
Harder problems
The problems requiring transnational cooperation are more extensive, af-
fecting a broader range of countries and individuals. They are also more in-
tensive, permeating deeper into national policy space and daily interactions.
For example, environmental problems have gone from chiefly local concerns
about clean air and water to global and systemic issues such as climate
change and biodiversity loss, characterized by deep interdependence. Shifts
of this nature increase the complexity of incentives needed to progress to-
wards global agreements.
Institutional fragmentation
Efforts to address transnational problems occur in a dense system of multi-
lateral and transnational organizations. While this by itself is not a problem,
it can increase the possibility of conflicting institutional mandates, unco-
ordinated interventions and competition for scarce resources. With such
outcomes, the proliferation of institutions reduces the ability of multilateral
institutions to provide public goods. Focal points could guide policy and help
define the nature and form of cooperation.
Solving any problem at the global level requires first recognizing these
challenges—and then acting collectively to overcome them. It is essential
to think creatively and rigorously about how international cooperation might
be strengthened under these adverse conditions.
and reforms have not reflected changing power
relations or the changing nature of challenges
(box 5.4). Meanwhile new regimes, such as
those for global intellectual property rights, of-
ten disproportionately benefit private interests.
Agendas and policies often underrepresent the
interests and needs of less developed countries
and the most vulnerable people—among them,
unskilled workers, home-based workers, immi-
grants and the elderly. Those who have the least
capacity to cope with shocks and to adjust to
the speed of change are the least involved in cre-
ating the regulations, norms and goals of global
governance. As a result, international rules and
norms often reflect private interests rather than
providing public goods and advancing social in-
terests.
17
This is evident in financial governance.
In the Basel Committee, which sets financial
116 | HUMAN DEVELOPMENT REPORT
2014
standards, private interests have privileged sta-
tus unchecked by any countervailing power.
18
Governance systems are not only short
on offering protections and enhancing
capabilities—in some cases they are producing
new vulnerabilities. In finance, monetary pol-
icies that focus on deregulation and liberaliza-
tion have increased the fragility of the financial
system. And financial policies such as rigid
loan to value ratios have encouraged banks to
fuel property bubbles, whereas adjusting loans
to reflect the state of the economy could have
produced more financial stability.
19
The archi-
tectural deficits in governance systems leave a
shortage of global public goods, merit goods
and universal social goods that would correct
or complement existing systems to build
more-inclusive and -sustainable resilience.
20
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BOX 5.4
Gridlock in the global governance of security
International cooperation to manage violence and conflict is hampered by a
mismatch between the global system of security agreements, institutions and
policies and the most pressing security challenges of the day. These constraints
limit the international community’s capacity to ensure individual security, to re-
duce the emergence and spread of conflict and to assist in crisis recovery—all
essential for reducing the acute vulnerability of people in such places as South
Sudan, the Syrian Arab Republic, and the countries of the Sahel and the Great
Lakes Region of East Africa, as well as surrounding countries and regions.
The origins of the problem can be traced to the institutional arrangements
for security that emerged following the Second World War, and their mismatch
with today’s security threats. The United Nations was founded explicitly to
uphold the collective security of sovereign states. Protection against foreign
invasion was guaranteed to all member states, and the Security Council was
given a mandate under Chapter VII of the UN Charter to take measures, includ-
ing the use of force, against countries that threatened peace in this way.
This system helped prevent war between the Great Powers. But today,
the security challenges have shifted, with internal conflicts and civil wars
in the South, concentrated in the Arab States, South Asia and Sub-Saharan
Africa, where the bulk of armed conflicts occur in a far greater number
than in the 1940s (see figure 2.12 in chapter 2). The dominant structure of
armed forces—based on a model of state military spending and war be-
tween nation states that has been in decline over the past half century—is
ill-equipped to deliver in areas where security is most urgently needed to-
day. Conflict resolution and post-crisis reconstruction demand cooperation
and collaboration among armed forces and the international community, and
focusing on the causes of internal conflict is essential.
Source:
Hale 2014.
Alongside the shift in security threats, there has been a transformation
in the traditional concept of sovereignty as state autonomy to a far broader
notion, including commitments to uphold the rights of citizens under a num-
ber of treaties. In 2005, at the largest ever meeting of UN member states,
countries agreed unanimously to endorse a national and international ‘re-
sponsibility to protect’ every human being on the planet. But the consensus
in adopting this principle has been broken by sharp disagreements over how
to implement it.
The Security Council remains the key organ for upholding human se-
curity. But this institution was designed to uphold state security, and it re-
tains a 1945 governance structure that relies on consensus among the Great
Powers, so decisions will inevitably be influenced by their national interests.
When permanent members disagree, no action is likely at the international
level. Even when the Security Council can make decisions, it falls to national
militaries, or such regional bodies as the North Atlantic Treaty Organization
and the African Union, to implement the council’s mandate, raising new pos-
sibilities to compromise actions.
The turn from interstate conflict to internal conflict has changed the fo-
cus of conflict prevention and recovery. This shift, combined with the emer-
gence of the modern human rights regime, has radically changed the nature
of sovereignty. At the same time, gridlock in global security governance—
particularly multipolarity, more-challenging problems and institutional
inertia—block the new institutions or reforms that could meet the goal of
collective security. The resulting governance gap limits international capac-
ity to address pressing security issues, passing the burden to the popula-
tions in conflict settings.
Inaction risks social instability, whether
induced by financial crises, climate-related
disasters or mass unemployment and poverty.
Indeed, recent numbers of local and global
protests (843 recorded between 2006 and
2013) are similar in scale to the waves of rebel-
lion in 1848, 1917 and 1968.
21
These protests
are usually local and national, but they are
directed against a common global experience:
increasing insecurity and inequality. And they
reflect opposition to the current architecture
of globalization and its neglect of public goods
and social welfare.
Collective action can restructure global
systems in a way that instils people with new
capabilities rather than generating new vul-
nerability and exacerbating existing insecurity.
Cooperation is possible among states, interna-
tional institutions, the private sector and civil
society—including a global remit that would
recognize the potential spillovers and feedback
across countries and between different policy
domains. Global governance systems can break
the link between globalization and vulnerabili-
ty, but this will be more likely if global policies
and decisionmaking are inclusive, accountable
and coordinated.
Putting people first in
a globalized world
Enhancing capabilities and protecting choic-
es can reduce vulnerability to transnational
threats by enabling people to cope better. So
can reducing the frequency, severity and scope
of shocks or preventing them altogether. The
means to accomplish these goals are twofold.
First, providing certain types of public goods,
those that could be considered elements of a
global social contract, can open national policy
space and help people cope with adverse events.
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A global public domain
that strikes a better
balance between private
and public interests can
open national policy space
Second, enhancing systems of global govern-
ance can facilitate the provision of public goods
and reduce the likelihood and scope of transna-
tional shocks.
Elements of a global social contract
Capabilities can be enhanced and choices
protected at the national level through the
universal provision of such services as educa-
tion, health care, water and electricity, as well
as through universal social protection that
empowers individuals with greater resources
to withstand external shocks (chapter 4). Such
public goods reduce pressure on individuals
to make difficult decisions: People should not
have to choose which of their children should
leave school when jobs are lost and fees are
too high or to enter demeaning and dangerous
trades such as sex work or garbage scavenging
to pay for food and shelter.
National measures are more easily enacted
when global commitments are in place and
global support is available. That is why the post-
2015 agenda should include national universal
public services, national social protection floors
and full employment as key goals for the global
community. These elements of a global social
contract can balance maximizing the benefits
of global integration and minimizing the costs
and insecurities. Global commitments to these
goals could open national policy space for
states to determine the approaches for creating
employment and providing social services and
protections that work best in their particular
contexts. But global agreements are essential be-
cause they can instigate action and commitment
and generate financial and institutional support.
Policy norms have been heavily influenced by
entrenched beliefs in the efficiency of markets
and the power of privatization. Governments
across the world have privatized public enter-
prises, reduced controls on the movement of
capital, deregulated labour markets and in-
troduced new intellectual property regimes.
22
Similar ideologies have taken root for individu-
als. People are expected to extol individualism,
self-reliance and entrepreneurship; equate
the pursuit of self-interest with freedom; and
associate governments with inefficiency and
corruption.
23
These beliefs are prevalent even
among vulnerable groups that most need the
protection of public goods and government
support.
A global public domain that strikes a better
balance between private and public interests
can open national policy space. Policy norms
that depict public provision of social protec-
tions as positive instruments can enable states to
adopt and implement policies and programmes
that protect people within their territories.
Such norms could embolden states to commit
to universal protections for labour that reduce
the likelihood of exploitative work conditions
while encouraging minimum social protections
for workers and for people unable to work be-
cause they are between jobs, injured, disabled,
elderly or pregnant. Today, only 20 percent of
working-age people worldwide have adequate
social security coverage, and many are without
any type of social security.
24
A more positive
view of the public domain would advance calls
for universal public services and social protec-
tions that enhance people’s capabilities to cope
when crises hit.
The need for social services and social protec-
tion has already been established in internation-
al conventions and agreements, particularly in
the Millennium Declaration.
25
Articles 22, 25
and 26 of the Universal Declaration of Human
Rights (1948)
26
recognize the right to social
security, as does Article 9 of the International
Covenant on Economic, Social and Cultural
Rights (1966).
27
In the 2007 Treaty of Lisbon
the European Union identified measures
for coordinating policies on social inclusion
and social protection.
28
In 2009 the Social
Protection Floor initiative brought together
19 UN bodies, several international financial
institutions and 14 development partners to
promote the goal of universal access to essential
services such as health, education, housing, wa-
ter and sanitation as well as social transfers to
ensure income and food security and adequate
nutrition.
29
Article 26 of the Convention on the
Rights of the Child (1989) recognizes the right
of every child to benefit from social security, in-
cluding social insurance.
30
The Social Security
(Minimum Standards) Convention (1952)
of the International Labour Organization is
among earlier initiatives requiring ratifying
states to ensure a range of sickness, unemploy-
ment, old age, injury, invalidity and maternity
benefits to their citizens.
31
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Most recently, the 2012 United Nations
Conference on Sustainable Development in
Rio called for a set of sustainable development
goals.
32
These goals would produce a more stable
public domain placing equality and sustainabil-
ity at the centre of global development efforts.
Together with the lead-up to the post-2015
agenda, the creation of the sustainable devel-
opment goals presents an opportunity for the
international community and member states to
push forward the principle of universality—in
public provision of social services, universal
access to health care and education, and full
employment and social protections—all essen-
tial elements of more-sustainable and -resilient
human development.
Fragile states and conflict settings.
How to
protect people’s choices in fragile states and
conflict settings requires special consideration.
Ensuring access to social protections, services
such as health and education, and employment
in fragile states is particularly important—and
one of the most difficult development challeng-
es. Inaction in fragile states can have repercus-
sions for national, regional and international
security, stability and prosperity.
33
Social con-
tracts can be built within fragile states, and
global commitments to universality and social
protection can encourage more support for
these efforts from the international community
and greater commitment from elites in fragile
states.
34
The New Deal for Fragile States, a joint initi-
ative of the 19 fragile countries of the G7+ and
the donor community, is one platform for sup-
porting elements of social contracts in fragile
states.
35
It promotes solutions based on nation-
al ownership and a comprehensive approach to
development and security. Recognizing that
success is based on combined efforts and effec-
tive leadership, all members have committed
to undertake collective action and reform to
implement the New Deal. Since its inception
in 2011, Afghanistan, the Central African
Republic, the Democratic Republic of Congo,
Liberia, Sierra Leone, Somalia, South Sudan
and Timor-Leste have expressed interest in pi-
loting the New Deal. Sierra Leone is one of the
first countries to provide a fragility assessment,
which reveals considerable progress but also
challenges in terms of limited resources and
human capital constraints.
36
Additional sup-
port for building and operationalizing social
contracts in fragile states will be a critical part
of universal commitments to social protection,
services and employment.
Fiscal space.
Where will the resources to pro-
vide universal social protection and social
services come from? Some will be provided by
traditional donors meeting their Millennium
Development Goal commitments to increase
official development assistance.
37
Several
emerging economies also have vast internation-
al reserves that could finance public goods.
38
Individual states can raise funds through
more-effective taxation of cross-border activi-
ties and reduction of illicit financial outflows.
Governments lose revenue when companies
transfer tax liabilities to low-tax jurisdictions,
legally exploiting differences in national
regulations. At 2013 public hearings in the
United Kingdom and the United States leg-
islators deplored corporate tax avoidance by
global companies (such as Apple, Amazon and
Starbucks) that legally exploit differences in
national regulations to minimize payments to
host governments.
39
Countries could arrive at
a set of common rules to prevent competition
for capital from driving down corporate taxes.
40
This could help many developing countries
increase their tax base, leaving more funds for
public investment.
41
International action is also needed to stem
illicit financial flows. For the least developed
countries illicit financial flows increased from
$9.7 billion in 1990 to $26.3 billion in 2008,
with 79 percent of this due to trade mispricing.
To put this in context, for every dollar of official
development assistance that the least developed
countries received, an average of 60 cents left in
illicit flows between 1990 and 2008.
42
The tax
revenue loss in developing countries to illicit
flows was $98–$106  billion a year between
2002 and 2006.
43
Between 2008 and 2010
Africa lost $38 billion a year due to mispricing,
or false invoicing, and another $25 billion to
other illicit outflows—more than the region’s
receipt of official development assistance dur-
ing the period.
44
Efforts to increase transparen-
cy have been put forward, but a global initiative
could encourage and support transparent pric-
ing across countries.
Inaction in fragile states
can have repercussions
for national, regional and
international security,
stability and prosperity
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BOX 5.5
Can the Responsibility to Protect doctrine be broadened?
A key instrument for holding the international community and individual
states accountable to vulnerable people is the Responsibility to Protect doc-
trine. This is a critical instrument, but it is narrowly constructed to address a
specific set of vulnerabilities—holding states accountable for genocide, war
crimes, ethnic cleansing and crimes against humanity.
While there has been much criticism and worry about how the
Responsibility to Protect doctrine has been interpreted, there also are
opportunities for adding to its scope in protecting vulnerable groups dur-
ing crisis. Its main principle—that sovereignty is not a privilege, but a
responsibility—should not be limited to mass atrocities like genocide, given
the myriad other pervasive vulnerabilities that people face from financial
crises to climate-related natural disasters. The doctrine could be extended
to include the responsibility of states to protect vulnerable groups, includ-
ing women, children and young people, the elderly and migrants. Indeed,
Notes
1. UN 1966. 2. UNFPA 2010. 3. Davies and Glanville 2010.
the International Covenant on Economic, Social and Cultural Rights already
stipulates that states bear the responsibility to protect the rights to life,
security, physical integrity, movement and property.
1
The United Nations Population Fund has suggested that the
Responsibility to Protect doctrine, at least in spirit, can promote institutions
such as health and education services.
2
Other work is being done to mandate
state responsibility to protect migrants—including, but not limited to, those
who are trying to escape conflict at home.
3
The most essential part of broad-
ening the doctrine’s scope would be committing to agreed thresholds for
intervention and establishing mechanisms for intervention and assistance.
This would be a bold step, not without controversy. But there is an ur-
gent need for a collective and strong commitment towards protecting vulner-
able groups, one that extends narratives and norms of protection beyond
the scope of violent mass atrocities to include more-pervasive insecurities.
Among the Group of 20 countries harmoni-
zation is under way to reduce tax avoidance and
evasion.
45
Other proposals deserve similar con-
sideration, such as that of the Africa Progress
Panel to address tax evasion on corporate
revenues from oil, gas and mining operations.
The Organisation for Economic Co-operation
and Development is also encouraging volun-
tary compliance and disclosure through the
Committee on Fiscal Affairs’ Working Party on
Tax Avoidance and Evasion.
46
A broader, more
coherent effort across states and organizations
towards an overarching international invest-
ment regime and harmonized tax regulations
could be the next step. This could be part of the
post-2015 agenda, with a focus on generating
greater state policy space and enabling progress
towards other goals.
Improving global governance
Social services and social protections will not
reduce the frequency or scope of transnational
threats. That requires changing the architecture
of global systems in ways that reduce shocks and
maximize positive social outcomes for all rather
than promote profit or power for a few. Putting
people first in a globalized world requires col-
lective action to ensure that global and regional
regulatory systems respond to insecurities and
that public goods enhance people’s capabilities
to deal with transnational shocks.
120 | HUMAN DEVELOPMENT REPORT
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As globalization deepens, multiple chal-
lenges are coming together to assume greater
significance—from climate change to conflict
to economic crises and social unrest. Past pe-
riods of change and uncertainty ushered in
broad-based new institutions and norms for
global interactions, including the rise of liberal-
ism and free trade in the 19th century, a turn to
Keynesian inspired public spending following
the Great Depression of the 1930s and the
establishment of the Bretton Woods system
after the Second World War. Today there is an
opportunity to reconfigure market arrange-
ments and global government structures with
similarly bold institutional changes so that glo-
balization is balanced between maximizing the
efficiencies of the market and protecting people
(figure 5.1).
The list of global challenges is long, and
the recommendations here are by no means
exhaustive, but markets can be better regulat-
ed, financial and trade systems adjusted, and
environmental threats reduced. These issues
receive focus, but the governance of food,
migration, public health and other global is-
sue areas are equally important. Indeed, these
areas are not mutually exclusive, and there are
many overlaps whereby, for example, adjust-
ing the financial architecture could reduce
food price volatility and making changes to
trade regimes could reduce vulnerability for
migrants.
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FIGURE 5.1
There is a mismatch between global challenges and global governance mechanisms
Trade disputes
Climate change
Silos
Uncoordinated
interventions
Violent conflict
Spillovers
and new
vulnerabilities
Financial crises
GLOBAL
GOVERNANCE
MECHANISMS
Insufficient
representation
Inequality
Gridlock in
collective action
Fragmented
mandates/
institutions
Food crises
Source:
Human Development Report Office.
Natural disasters
Governance principles.
Adjustments can be
made across global issues to increase the like-
lihood that states will act collectively and to
ensure cohesiveness in global governance (see
box 5.3 for an overview of systemic problems
in global governance). These principles are
first-order changes that need to be made before
policy and institutional progress is likely on
specific problems such as financial volatility,
imbalanced trade regimes or climate change.
First is the imperative to ensure equitable
participation of developing countries in global
governance by reforming the post–Second
World War governance structures so that the
needs of more-vulnerable countries, particu-
larly the least developed countries and small
island developing states, are not marginalized.
47
Second, participation can be extended to
include perspectives from the private sector
and civil society to ensure support for global
collective action among states. Third, since
collective action is most effective when it is
inclusive, decisions should be made in repre-
sentative institutions, not in ad hoc groupings
of countries like the Group of 20 or in selective
meetings where decisionmaking lacks transpar-
ency.
48
Fourth, efforts can be made to increase
coordination and cooperation among global
governance institutions on various issues to
reduce spillovers and better align goals.
Adhering to these principles would improve
cooperation among countries that may be hesi-
tant to pool their sovereignty for the collective
good and among international institutions
with overlapping and uncoordinated mandates,
policies and programmes.
Finance.
The international financial system is
not well suited to minimizing vulnerabilities
and protecting gains in human development.
The effects of the 2008 global economic crisis
on people and countries are a testament to this.
The crisis was a consequence of insufficient reg-
ulation of complex instruments in the world’s
The international financial
system is not well suited to
minimizing vulnerabilities
and protecting gains in
human development
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leading financial centres.
49
But the impact was
felt worldwide. Indeed, countries with oth-
erwise sound financial systems suffered real
declines in GDP and employment. Jobs were
lost, and workers had to work shorter hours at
lower wages. In the textile and apparel indus-
try alone, upper estimates indicate that China
lost 10 million jobs, India 1 million, Pakistan
200,000, Indonesia 100,000, Mexico 80,000,
Cambodia 75,000 and Viet Nam 30,000.
50
In
Bangladesh, Cambodia, Indonesia, Lao People’s
Democratic Republic, Mongolia, Thailand and
Viet Nam workers’ earnings dropped by as
much as 50 percent.
51
In many countries young
people, low-skilled labour and urban workers
suffered the greatest employment losses.
52
While economic shocks affect people in
rich and poor countries alike—take the severe
effects of the global recession in Greece and
Spain—individuals in developing countries
are often the most vulnerable. The recession-
ary downturn in US new car sales led to job
cutbacks in Liberia, which supplies rubber for
tyres.
53
US automobile workers were offered
unemployment protection after the economic
FIGURE 5.2
downturn, but thousands of Liberian rubber
tappers, most of them hired on contract, were
laid off without alternative means of support.
54
Economic crises can also have lasting life cycle
effects on future coping capacity. Many poor
families that lose their livelihoods resort to
taking their children out of school or reducing
their food intake.
55
In Kazakhstan families cut
back on meat, dairy products, and fresh fruits
and vegetables and put off health care and med-
ical procedures.
56
Recent increases in private capital flows
into developing countries, while important
for development, leave many economies and
people vulnerable. The vulnerability stems from
volatile and countercyclical capital flows (figure
5.2).
57
Private capital is attracted by returns
and deterred by risk, and cross-border financial
flows tend to be pro-cyclical: During periods of
economic growth capital pours in, and during
downturns it gushes out. The procyclical flows
can also be exacerbated by a loss of market con-
fidence, undermining exchange rates and pro-
voking economic contraction, with contagious
effects across countries. That is what happened
Increases in net private capital flows into developing countries over 1980–2012 have left many economies and people vulnerable
$ billions
Private capital
flows, net
Official capital
flows, net
500
450
400
350
300
250
200
2.5
150
100
50
0
1980
–50
–100
1990
2.0
1.5
1.0
% GDP
Private capital
flows as %
of recipient
countries’ GDP
2008 financial
crisis
Asian financial
crisis
2010
0.5
0.0
–0.5
–1.0
–1.5
Latin American
debt crisis
Source:
Human Development Report Office calculations based on UNCTAD (2014).
122 | HUMAN DEVELOPMENT REPORT
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in East Asia in July 1997. Market confidence was
influenced particularly by the lower than expect-
ed assessments of rating agencies; downgrades
triggered panic and destabilized markets.
58
Instead of having a comprehensive govern-
ance system to manage exchange rates and
capital controls, global financial institutions
are ad hoc and piecemeal. Transgovernmental
networks—quasi-formal institutions that
bring national officials together to coordinate
policy—address certain aspects of the prob-
lem, such as banking standards, insurance
regulation and securities regulation. But as
fundamentally technocratic institutions, they
have limited mandates to pursue broad regu-
latory functions, often focusing more on facil-
itating financial flows than on managing their
dangers. Indeed, they have only rarely pushed
the industries they govern to adopt major
behavioural changes, with the partial excep-
tion of the Basel Committee.
59
Some include
considerable industry representation in their
governance structures, as with the International
Accounting Standards Board. Needed now
is a financial system summoning the spirit of
Bretton Woods—inclusive financial mecha-
nisms and institutions that ensure access to
liquidity, reduce the volatility of financial flows
and minimize contagion.
•
Ensure access to liquidity.
Access to interna-
tional and regional reserves during economic
downturns and financial crises, when capital
flight is most likely, can help countries cope
with financial volatility. Many emerging
economies self-insure and rely on their own
large reserves of foreign exchange. But this
approach has major opportunity costs in
losses of development financing.
60
Many oth-
er developing countries face strong retrench-
ments of private capital during financial crises
(when resources are most needed). Support
from multilateral organizations (including
regional institutions) as well as bilateral
agencies is crucial to fund countercyclical
spending and to ensure adequate funding for
social protection programmes, employment
policies and other national policies of protec-
tion. Regulations can also enable and encour-
age governments and financial institutions to
avoid excessive financial risks during booms.
For individuals and communities, easing
the flow of remittances can increase savings
and enhance the ability to cope with eco-
nomic downturns. In 2013 remittances
to developing countries were estimated at
$414  billion and may reach $540  billion
by 2016.
61
These flows exceed the foreign
exchange reserves in at least 14 developing
countries.
62
Transaction costs to send money
back home remain high, though. The aver-
age cost of sending $200 from one country
to another reached as much as 27  percent
in 2013.
63
Reducing this cost could greatly
increase liquidity and should be a focus of
financial reforms.
•
Reduce the volatility of financial flows.
A reg-
ulatory structure for global financial stability
can reduce the volatility of cross-border cap-
ital flows. The International Monetary Fund
has been moderately supportive of such pro-
visions.
64
And the Group of 20 has pushed
for countercyclical capital flow management
that leaves space for national policymaking,
noting that there is not a one size fits all set of
capital flow management measures.
65
Policies
may depend on the size of national financial
sectors and the extent of regulatory capacity.
Some countries have greater potential to af-
fect others through national policy decisions,
and when weighing policy options, potential
spillovers can be taken into account. Take the
threats facing emerging economies—high
dollar interest rates and capital flight—in the
light of imminent tapering by the US Federal
Reserve.
66
Reserve currency issuers can affect
capital flows with their macroeconomic
policy decisions and can avoid excessive im-
balances and sharp policy reversals.
•
Regional monetary funds.
Regional financial
institutions can reduce the transmission of
shocks and diminish the potential for global
contagion.
67
They can also help stabilize bi-
lateral exchange rates, provide regional exper-
tise in addressing financial crises and provide
liquidity during crises with countercyclical
financing.
68
And they can give small coun-
tries a stronger voice. National policy space
can be enlarged through macroeconomic
coordination in regions where initiatives are
already under way, including currency swap
and regional pooling institutions such as the
Chiang Mai Initiative Multilateralization, the
nascent East African Community Monetary
Union, the Latin American Reserve Fund,
A regulatory structure for
global financial stability
can reduce the volatility of
cross-border capital flows
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FIGURE 5.3
In recent years countries in all regions have become more reliant on imports and exports
International
trade
(% of GDP)
100
80
60
40
20
0
1990
2000
2010
1990
2000
2010
1990
2000
2010
1990
2000
2010
1990
2000
2010
1990
2000
2010
1990
2000
2010
Arab States
East Asia
and the Pacific
Europe and
Central Asia
Latin America
South Asia
and the Caribbean
Sub-Saharan
Africa
World
Source:
Human Development Report Office calculations based on World Bank (2014b).
the Eurasian Economic Community’s Anti-
Crisis Fund and the Arab Monetary Fund.
69
The proposed BRICS Bank is another
promising initiative.
70
The most ambitious
project to date is the Chiang Mai Initiative
Multilateralization and its currency swap
arrangements among the central banks of
member countries. Responding to lessons
from the 1997 Asian Financial Crisis, it
recognizes the value of regional policy dia-
logue in preventing contagion and providing
liquidity in the face of speculative attacks.
71
The time may have come for a full-fledged
Asian Monetary Fund and Latin American
Monetary Fund to pool reserves, stabilize
exchange rates, provide countries with short-
term funds and offer surveillance. Building on
existing structures, other regions might then
follow suit. Where membership is partial
and the capacity to provide needed financial
services low, the participation of developed
or emerging economies can provide a rapidly
growing pool of savings and reserves and in-
crease creditworthiness.
72
Regional monetary
funds can complement global funds, and a
more competitive operating environment can
strengthen the services of both.
Trade.
In recent years countries have become
more reliant on imports and exports (figure
124 | HUMAN DEVELOPMENT REPORT
2014
5.3). Access to global markets has been an im-
portant driver of development, especially in
countries that have invested heavily in human
capabilities.
73
With a favourable external en-
vironment, countries can trade their way to
growth. But when the global economy slows,
export-oriented economies become vulnerable
to fluctuations in commodity prices, terms of
trade and external demand. The fallout from
the 2008 financial crisis included declines in
trade, employment and wages. In the first three
quarters of 2009 world merchandise trade fell
30  percent and exports for all world regions
more than 20  percent.
74
Employment rates
also fell in all regions, and median growth in
real wages for a sample of 53 countries plunged
from 4.3  percent in 2007 to 1.4  percent in
2008.
75
Adapting to a competitive international envi-
ronment can produce insecurity for some indi-
viduals, enterprises and governments. Workers
in some countries may gain as employment and
exports grow, but in others people may lose
their jobs as companies close and industries
relocate. Adjustments are particularly hard for
the more vulnerable segments of society whose
bargaining positions are already weak.
Trade-related vulnerability is partly ad-
dressed by international trading agreements
and rule-setting institutions like the World
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Trade Organization. But the global trade ar-
chitecture has shortcomings ranging from how
decisions are made to a move towards more
bilateral trade agreements and to asymmetries
of negotiating power in setting policies for agri-
culture and intellectual property rights. Market
access also takes priority over development
concerns. These shortcomings demand atten-
tion if trade integration is to expand without
generating additional shocks and vulnerability.
•
Flexible trade rules.
The main governance in-
stitution managing world trade remains the
World Trade Organization, and despite some
flaws, its multilateral rules offer flexibility to
protect against trade’s volatility. Countries
can use the most favoured nation, antidump-
ing and dispute settlement mechanisms to
cushion their economies from other coun-
tries’ actions. They can also use the enabling
clause, which facilitates South–South trade
agreements that are partial in scope, and
can take temporary safeguarding measures
against sudden price movements—such
as spikes in the price of food imports. In
addition, there is special protection for the
least developed countries, which have been
accorded differential and favourable treat-
ment, including duty- and quota-free access,
and grace periods for implementing their
commitments. There have also been measures
for expanding the least developed countries’
trading opportunities such as technical assis-
tance and Aid for Trade.
76
These protocols
emerged over decades as countries realized
that tariff reduction alone would not always
promote equitable trade.
The recent shift towards bilateral trade
agreements may reduce developing countries’
capacities to respond to trade’s risks and
volatility and may undermine multilateral
progress towards equitable trade. Many
agreements include provisions not directly
related to trade, such as those for patent pro-
tection, investment liberalization and govern-
ment procurement.
77
The uneven negotiating
power in forming bilateral agreements has
even undermined the capacity of developing
countries to adopt measures to manage cap-
ital flows.
78
If countries are to benefit in the
long run, the trend towards reduced national
policy space in trade agreements needs to be
reversed—either by prioritizing multilateral
agreements over bilateral agreements or by
reducing the asymmetries in negotiating bi-
lateral agreements.
•
Agricultural liberalization.
Despite proto-
cols that allow countries to use temporary
safeguards against sudden price movements,
the global trading system still leaves coun-
tries and individuals vulnerable to shifts in
prices, protection and production. The Doha
Development Agenda acknowledges “the
particular vulnerability of the least-devel-
oped countries and the special structural dif-
ficulties they face in the global economy”.
79
During the World Trade Organization’s
Ninth Ministerial Conference in Bali,
Indonesia, an agreement was reached that
could allow developing countries more op-
tions for providing food security and boost-
ing least developed countries’ trade.
80
But
after a decade of negotiations the 2013 agree-
ment provided little protection for the least
developed countries or agricultural workers
in the South. In the meantime, spikes in the
prices of food and other commodities are
adding to hunger and starvation for the poor
and vulnerable.
81
Subsidy restrictions in agriculture have
loopholes allowing developed countries
to maintain and even increase subsidies.
82
Developing countries have to compete with
subsidized food in their own markets and
lose access to third markets, limiting their
agricultural growth and leaving them more
vulnerable to food price shocks.
83
Agricultur-
al liberalization needs to be selective in tar-
geting goods mainly exported by developing
countries to avoid increasing prices of food
staples of developing countries.
84
A review
process could help ensure that trade rules
and proposed reforms in agriculture enhance
developing countries’ food security and farm-
ers’ livelihoods.
•
Intellectual property rights.
The intellectual
property rights regime favours the right to
protect intellectual property rather than
encouraging the widest possible dissemina-
tion and use of knowledge and technology.
85
But poorer countries and poorer people
may not be able to afford medical and phar-
maceutical products. This is a problem not
only for trade, but also for global public
health because disease burdens can remain
Despite protocols that
allow countries to use
temporary safeguards
against sudden price
movements, the global
trading system still
leaves countries and
individuals vulnerable to
shifts in prices, protection
and production
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high.
86
The current regime also impedes
movement towards a low-carbon economy
by constraining widespread dissemination of
technological innovations.
87
Making things
worse is the lack of national and internation-
al incentives for research and development
to address the needs of poor and vulnerable
groups.
88
Reforms to intellectual property
rights regulations could encourage invest-
ment and enable wider access to the types
of technologies and advances that enhance
resilience.
•
Trade in services.
A review of the rules guiding
trade in services is also in order. The General
Agreement on Trade in Services includes
opportunities to facilitate the movement of
people (Mode 4), which could have spill-
overs for migrants by partially liberalizing
migration. But its commitments to liberalize
the movement of people have been minimal,
limited largely to facilitating transfers and
mobility of executives, managers and special-
ists. Commitments could be broadened to
reduce the vulnerability of undocumented
migrants.
89
Climate change.
Some of the expected effects
of climate change will be abrupt, leaving very
little time for adaptation. These include the dis-
appearance of late-summer Arctic sea ice and
the extinction of marine and terrestrial species.
Heat waves and heavy precipitation events
are very likely to increase in frequency and
duration. And the incidence and magnitude
of extreme high sea levels are also very likely
to increase later in the 21st century. Global sea
levels may rise as high as 80 centimetres above
modern levels by 2100.
90
Today, more than
6 percent of the world’s population—close to
half a billion people—lives at an elevation low-
er than 5 metres.
91
Feedback effects from changes in the reflec-
tivity of the earth’s surface and the extent of
carbon sinks could also speed climate change.
Reductions in snow cover and vegetation re-
duce the amount of heat that can be reflected
from the earth’s surface, leading to greater
warming that is unrelated to greenhouse gases
in the atmosphere. A warming climate can
also speed the deterioration of terrestrial and
marine carbon sinks, releasing large stores of
carbon dioxide into the atmosphere.
92
Global efforts are
essential for guiding
action and offering
incentives to subnational
and nonstate actors
Vulnerability to extreme weather events and
food crises has been a recurring threat (box
5.6). In the first half of 2012 Niger experienced
a severe food and nutrition crisis. The trigger
was a drought spanning the latter part of 2011
and the beginning of 2012. The country had
been through a similar food crisis between
February and August of 2010, with drought
again the trigger. And this had been preceded
by an even more severe food crisis, in 2005, a
result of a 2004 drought. These droughts also
affected neighbouring countries and others in
the Sahel.
93
And events in other countries had
a bearing on the crisis in Niger. For example,
the 2012 crisis was compounded by instability
in neighbouring Mali and the inflow of tens of
thousands of people fleeing from the conflict
there.
94
The role of drought in contributing to the
Syrian crisis is less well known. From 2006 to
2010 the Syrian Arab Republic suffered an un-
precedented drought, devastating much of its
rural society.
95
Impoverished farmers flooded
into the slums of the cities. Observers estimate
that 2–3  million of the country’s 10  million
rural inhabitants were reduced to extreme pov-
erty.
96
These deprivations, combined with a lack
of jobs and an inadequate state and internation-
al response, contributed to a rapid buildup of
resentment and an acute awareness of group
inequality, fertile ground for the civil war that
started in 2011.
Humanitarian appeals and food and cash as-
sistance can restore food entitlements, but they
do not address the underlying vulnerability.
The United Nations Integrated Strategy for the
Sahel takes a multifaceted approach to human-
itarian, development and security activities.
97
But it does not directly address the underlying
driver—climate change. Urgent actions are
needed on this front to reduce climate-related
vulnerability. There are promising subnational
actions, but multilateral action is the key to a
resilient future for all.
•
Cities networks.
Subnational government
bodies can be supported and encouraged.
Cities, in particular, are increasingly taking
action to mitigate climate change and be-
come more resilient. Examples range from
the C40 network of 58  megacities, to the
ICLEI network of thousands of smaller
municipalities, to sector- or region-specific
126 | HUMAN DEVELOPMENT REPORT
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BOX 5.6
Who is vulnerable to climate change?
Beyond any doubt, climate change poses a current and growing disrup-
tion to nearly every person on the planet as well as to future generations.
1
But climate change is a complex phenomenon with differentiated impacts
across countries, regions, sectors, income groups, age groups, ethnic groups
and sexes. Even within households, climate change affects individuals dif-
ferently. Those standing to lose most from climate change are those already
very exposed.
•
Small island states.
The world’s 51 small island developing states and
their inhabitants face an existential threat. Most of their people live less
than a metre or two above sea level, and sea level rise may make parts
and in some cases all of their territory uninhabitable. These countries are
already affected by more-frequent extreme weather events. Many small
island states are exposed to Pacific typhoons or Atlantic hurricanes, which
damage property and infrastructure and divert public finances from devel-
opment. Weather events have also disrupted the tourism that many islands
states rely on, while ocean acidification and coral bleaching have undercut
traditional fishing lifestyles.
2
•
Coastal cities.
Nearly 45  percent of the world’s people live in coastal
areas, mostly in large cities.
3
Even in the most developed countries,
storms are already devastating coastal cities, often affecting the most
vulnerable. Hurricanes Katrina and Sandy cost the United States
$149 billion—50 percent more than the world is committed to spending
on climate financing in developing countries.
4
The impact on coastal cities
in developing countries will be greater, even as the resources available to
fix the problems are fewer.
•
Smallholder farmers.
Changes in rainfall and temperature will be felt most
acutely by the people who depend on natural systems for growing crops
and raising livestock and by those who depend on them for food. In par-
ticular, farmers without access to irrigation will most immediately feel the
impacts of unpredictable rainfall. Smallholder farmers in South Asia are
particularly vulnerable—India alone has 93  million small farms.
5
These
groups already face water scarcity. Some studies predict crop yields up
to 30 percent lower over the next decades, even as population pressures
continue to rise.
6
Notes
1. IPCC 2007, 2012, 2013. 2. World Bank 2013b. 3. UN Atlas of the Oceans 2013. 4. NOAA 2013. 5. IFAD 2013. 6. World Bank 2013b.
Source:
Hale 2014.
networks such as the Asian Cities Climate
Change Resilience Network.
98
These mu-
nicipalities pool knowledge and share best
practices on how to develop low-carbon
transportation systems or housing stocks
and how to harden themselves against rising
sea levels and fluctuating weather. Globally,
cities account for up to 70 percent of total
emissions,
99
so expanding these initiatives
has extraordinary mitigation potential, even
in countries slow to adopt national action
plans. In the United States, national action
has been blocked by Congress, but city- and
state-level commitments cover nearly half of
US emissions.
100
•
Voluntary private sector disclosure and reduc-
tion.
Nongovernment actors are also taking
steps to reduce carbon emissions. Firms and
investors, often in partnership with civil
society, are identifying climate risks in their
supply chains and ‘carbon proofing’ their
business models. For example, the World
Wildlife Fund’s Climate Savers programme
helps large businesses develop emissions re-
duction strategies.
101
The Carbon Disclosure
Project offers a tool through which compa-
nies can report their emissions footprints to
investors—in 2013 the programme included
722 investors managing $87  trillion in
assets—who can then pressure companies to
reduce their climate risk.
102
The world’s 500
largest companies produce 3.6 billion tonnes
of greenhouse gases, so corporate emissions
reductions hold great potential.
103
More ac-
tions can be taken to encourage and incentiv-
ize these voluntary efforts, and efforts can be
made to map the extent of existing initiatives
and assess their potential to increase in scope
and ambition.
•
Urgent multilateral action.
Global efforts
are essential for guiding action and offering
incentives to subnational and nonstate actors
(box 5.7). Unilateral approaches to climate
change often focus on subsets of emitters and
do not offer scope for a ‘grand bargain’. They
are still worthwhile, because every tonne of
carbon mitigated means there is less adapta-
tion required. But they are partial and second
best in nature. They are also limited in their
attention to adaptation, especially important
to vulnerable groups and many populations
in the least developed countries.
Multilateral bodies can engage such
smaller initiatives and link them to multi-
lateral processes to strengthen global gov-
ernance of the environment more generally.
Bringing the dynamism of bottom-up action
into the multilateral process could build
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BOX 5.7
Four essential global agendas
Four essential global agendas are tackling some of the world’s greatest chal-
lenges: natural disasters, humanitarian crises, climate change and sustain-
able development. But they will produce durable change only if they tackle
the architectural issues of global governance—such as ensuring more-eq-
uitable and -inclusive participation, pushing for coordination among global
governance institutions and consciously developing norms of international
cooperation and global citizenship.
Hyogo Framework for Action
The Hyogo Framework for Action, adopted by 168 countries in 2005, aims
to reduce global disaster risk by 2015.
1
It puts forward a comprehensive
set of tasks and actions that focus on building the capacity of local and na-
tional institutions, supporting early warning systems, supporting a culture of
safety and resilience, reducing the drivers of vulnerability and strengthening
disaster preparedness and response.
The framework has spearheaded collective action towards disaster risk
reduction in national, regional and international agendas. But there is more
to be done, and progress has not been uniform across countries or action
areas. Remaining challenges include developing and using indicators and
setting early warning systems in multihazard environments and enhancing
the capacity of states to integrate disaster risk reduction into sustainable
development policies and planning at the national and international levels.
World Humanitarian Summit
The World Humanitarian Summit, scheduled for 2016, aims to make humani-
tarian action more global, effective and inclusive—and more representative
of the needs of a rapidly changing world.
2
It will be an opportunity to coordi-
nate international humanitarian organizations around issues of vulnerability
reduction and risk management.
Responding to the growing number of complex humanitarian emergen-
cies will start by identifying and implementing approaches to reduce and
manage humanitarian risks. The summit will be an opportunity to assess
how humanitarian and development actors can take a more systematic,
cohesive approach to planning, prioritizing and funding programmes—and
Notes
1. UNISDR 2005. 2. UNOCHA 2014. 3. UNFCCC 2009, 2011. 4. IPCC 2013.
how action can be coordinated across economic, social and environmental
domains. It will encourage collaboration among affected countries, donors
and international organizations to jointly build humanitarian and develop-
ment strategies.
Climate change—2 degree limit
In the 2009 Copenhagen Accord and 2010 Cancun Agreements 195 parties
to the United Nations Framework Convention on Climate Change agreed to
limit the average rise in global temperature to less than 2 degrees Celsius
from preindustrial levels.
3
This commitment is based on the general scien-
tific consensus that a 2 degree increase is the most the world can afford in
order to limit dangerously disruptive impacts.
The international community’s pledges and commitments are not yet suf-
ficient to meet this goal. The Intergovernmental Panel on Climate Change’s
projections conclude that global temperatures will likely increase more than
1.5 degrees by the end of the 21st century and could easily exceed 2 degrees
if major action is not taken to reduce emissions.
4
Achieving the objective is
still technically and economically feasible, but political ambition is needed
to close the gap between current emissions and the level that will set the
world on a below 2 degrees trajectory by 2020.
Post-2015 agenda and sustainable development goals
In the run-up to the post-2015 agenda and the sustainable development
goals, the international community has an unparalleled opportunity to make
reducing vulnerability a priority in international development frameworks.
The Millennium Development Goals helped reduce poverty and improve the
lives of many. But continuing progress is not guaranteed unless the shocks
are reduced and the capacities of people to cope are improved. Along these
lines, the call for getting to zero poverty should be extended to staying at
zero poverty, and progress needs to be maintained in other areas. Those
most vulnerable to natural disasters, climate change and financial setbacks
must be specifically empowered and protected. Making vulnerability reduc-
tion central in future development agendas is the only way to ensure that
progress is resilient and sustainable.
political coalitions to support a global trea-
ty. In December 2011, under the Ad Hoc
Working Group on the Durban Platform for
Enhanced Action, countries agreed to nego-
tiate by 2015 a new, legally binding treaty
that would go into effect in 2020.
104
The
United Nations Framework Convention
on Climate Change can coordinate and
channel the capacities of countries, cities,
companies and civil society organizations
through cooperative initiatives.
105
The
Green Climate Fund, established in Cancun,
Mexico, in 2010, could support these efforts
financially.
106
128 | HUMAN DEVELOPMENT REPORT
2014
Collective action for a
more secure world
The international system suffers from gridlock
that limits international collective action across
issue areas.
107
In the meantime, vulnerability
intensifies as global bodies fail to agree on
appropriate response mechanisms and fall
short of introducing the right types of regula-
tions to minimize risks and ensure that global
systems support the common good. Reducing
vulnerability to transnational threats, whether
by fixing governance architectures to reduce
shocks or taking steps to enable people to cope,
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requires greater leadership and cooperation
among states and across international organiza-
tions. It also requires a more coherent approach
that sets priorities and reduces spillovers—and
more-systematic engagement with civil society
and the private sector.
Cooperation
The lack of international coordination, coop-
eration and leadership stifles progress towards
addressing global challenges and reducing
vulnerability. This is not new. Over the years
there have been various proposals for how to
improve cooperation among states. In 2006
a Global Leaders Forum, comprising half the
United Nations Economic and Social Council
members, was proposed to upgrade the coun-
cil’s policy coordination towards meeting the
Millennium Development Goals.
108
In 2009
the Stiglitz Commission proposed the Global
Economic Coordination Council to identify
gaps and spillovers in the current system of
cooperation and propose how they might be
filled.
109
Other proposals have been made to re-
form the United Nations Economic and Social
Council.
110
Emerging as a leading voice in global
governance, the Group of 20 includes such
emerging powers as Brazil, China, India and
Mexico. But it is distinctly club-like and lacks
the structure, mandate or accountability to
provide public goods and restructure global
governance architectures. The rise of the
South presents an opportunity to make global
governance more representative—and more
effective.
111
But this will require new resolve
for international cooperation and leadership.
One option is to draw on past proposals and
establish a Global Leaders Forum. Such a
regular meeting of a representative group of
heads of state could facilitate cooperation to re-
ducing vulnerability among states and the UN
system, including the UN Secretariat, funds
and programmes; the International Monetary
Fund; the International Labour Organization;
the World Bank Group; the World Health
Organization; and eventually the International
Organization for Migration and the World
Trade Organization.
112
The High-level Political Forum on
Sustainable Development created at the
Rio+20 Conference in June 2012 also holds
promise for political leadership and guidance
to address critical global challenges. It has the
legitimacy of being convened annually under
the auspices of the United Nations Economic
and Social Council and every four years under
the auspices of the United Nations General
Assembly. Starting in 2016 the forum will
review sustainable development progress by
developed and developing countries to enhance
accountability and encourage action.
113
Coherence
Global governance tends to be organized in si-
los, with separate institutions focusing on such
issues as trade, climate, finance and migration.
This makes it very difficult to take a systems
perspective on global challenges or to identify
spillovers and contradictions in the actions of
states and international agencies.
Complete and thorough assessments of the
multiple and at times overlapping architectur-
al issues of global governance are needed to
ensure that global cooperation is efficient and
targeted towards the most critical areas. These
could best be made by a nonpolitical body of
independent experts who can take an objective
systems perspective on global issues and pro-
vide advice and recommendations to governing
bodies. An independent group of experts could
set priorities for cooperation among states and
international organizations. It could identify
spillovers across the specialized bodies in the
UN system—for example, the health effects of
trade policies or the environmental effects of
fiscal policies—and propose ways of addressing
them. And it could assess global trends to deter-
mine whether urgent issues are being addressed
and identify new challenges that should move
onto global and national policy agendas.
Such a group could also carry out detailed
cost-benefit studies showing the impact of pol-
icies across countries and population groups.
That could encourage collective action, since
countries often shy away from cooperation if
they are uncertain about the potential out-
comes. To reflect a diversity of views, ample
voice would need to be given to experts from
developing countries, and especially from vul-
nerable countries, including the least developed
countries and small island developing states.
Complete and thorough
assessments of the
multiple and at times
overlapping architectural
issues of global
governance are needed
to ensure that global
cooperation is efficient
and targeted towards
the most critical areas
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People are more likely to
support the provision of
global public goods when
they view themselves
as global citizens—part
of a global community
that benefits from capital
controls, labour rights
and women’s rights
Independent commissions can succeed. The
Brundtland Commission made sustainabil-
ity a common goal of development, and the
Stiglitz-Sen-Fittousi Commission helped make
well-being a more prominent topic on devel-
opment agendas. However, these commissions
were targeted towards particular issues. What
would be useful now is a type of global steward-
ship council—tasked with the much broader
challenge of keeping track of global trends to
see whether the world is ‘in balance’, to con-
firm that issues requiring attention are getting
resolved and to ensure that emerging concerns
move onto global policy agendas.
114
Engagement
Governance improves when citizens are directly
involved. In close relationships with the public,
governments can obtain accurate information
about people’s vulnerabilities and track the ef-
fects of policy interventions. Such engagement
can result in efficient state interventions and
public resources.
115
It occurs when people have
the freedom, security, capability and voice to
influence decisionmaking. They must also be-
lieve in their power to produce desired effects
through collective action.
116
One example of
widespread citizen engagement is participatory
budgeting in Brazil.
117
The International Labour Organization’s
tripartite structure indicates the possibilities
for cooperation between state and nonstate
actors. Governments, worker organizations
and employer representatives freely and openly
debate issues such as labour standards so that
policy outcomes reflect the views of all par-
ties. This structure differs from that of other
international bodies, which do not give equal
weight to nonstate actors. They generally limit
consultative status to a selection of nongov-
ernmental organizations, with access ranging
from higher engagement within the United
Nations Economic and Social Council to much
lower representation and engagement at the
International and Monetary Fund.
118
Previous global conventions and confer-
ences have raised the rights and visibility of
groups constrained by structural vulnerability
The 1990 United Nations Convention on
the Rights of the Child spelled out the need
for special care and protection of children.
119
The fourth World Conference on Women,
in Beijing in 1995, committed states to spe-
cific actions to ensure women’s rights.
120
The
Convention on the Rights of Persons with
Disabilities called on signatory states to remove
barriers that prevent the full participation
of disabled people in society.
121
The World
Conference on Indigenous Peoples, scheduled
for September 2014, aims to foster global co-
operation to realize the rights of indigenous
peoples.
122
Once international conventions
are ratified, signatories agree to adopt relevant
legislation and report periodically to the inter-
national community on progress. Even confer-
ences at the consultative level can encourage
state action to reduce structural vulnerability.
People are more likely to support the pro-
vision of global public goods when they view
themselves as global citizens—part of a global
community that benefits from capital controls,
labour rights and women’s rights.
123
In princi-
ple, this is now much more feasible as people
connect across borders. For example, greater
flows of migrants have created opportunities
for new forms of solidarity, bringing together
people with similar vulnerabilities but different
citizenships in host countries.
124
Collective action is built on personal inter-
actions and trust, but today’s communications
technologies and social networks also hold
potential for extending the scope of social and
political communities across borders.
125
Mobile
phone use is almost universal, with 6.8 billion
subscriptions, and Internet use is on the rise,
with average annual growth in Africa leading
the way at 27  percent.
126
Communications
technology can also increase the voices of the
vulnerable—encouraging the political and so-
cial participation of groups that have historically
been excluded from, or minimally represented
in, public discourse, including the poor, women,
minorities and other vulnerable groups.
*
*
*
The oft-postulated goal of more-inclusive,
-sustainable and -resilient global growth and
development requires a positive vision of the
global public domain and recognition that ‘the
world we want’ depends on successful provi-
sion of natural and human-made public goods.
Markets, while important, cannot provide
130 | HUMAN DEVELOPMENT REPORT
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adequate social and environmental protec-
tions on their own. States, individually and
collectively, have to be brought back in with
a stronger, more forthcoming willingness to
cooperate—through the harmonization of na-
tional policies or through international collec-
tive action. Governments need greater policy
space to provide protections and employment
for their people. Civil society can generate
political will, but only if citizens recognize the
value to the individual of cross-border collabo-
ration and public goods.
Progress takes work. Many of the Millennium
Development Goals are likely to be met at
the national level by 2015, but success is not
automatic, and the gains are not necessarily
permanent. Taking development a step further
requires protecting achievements against vul-
nerability and shocks, increasing resilience and
deepening progress. Identifying and targeting
vulnerable groups, reducing inequality and
addressing structural vulnerability are essential
to sustaining development over an individual’s
lifetime and across generations.
Chapter 5
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Notes
Overview
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
UNDP 2013a.
Stiglitz and Kaldor 2013a.
See, for example, World Bank (2013c).
UN General Assembly 2013b, p. 9.
UN System Task Team on the Post-
2015 UN Development Agenda 2012b.
FAO, IFAD and WFP 2013.
ILO 2013d.
UNDESA 2009.
WHO 2011b.
CRED 2013.
UNDP 2011a.
World Bank 2010.
UNDP 2013c.
Cornia and Stewart 1993.
UN System Task Team on the Post-
2015 UN Development Agenda 2012b.
ILO 2012b.
ILO 2010c.
Stiglitz and Kaldor 2013a.
17
18
19
20
21
22
23
24
25
26
27
28
Chapter 1
1
2
3
4
5
6
29
30
31
32
33
34
7
8
9
10
11
12
13
14
15
16
UNDP 1990.
Chambers 2006.
Choudhury 2013.
United Nations Global Pulse 2012;
Conceição, Mukherjee and Nayyar 2011.
Stewart 2013.
Social competences are defined as
what social institutions can be or do;
they are in a sense the capabilities
of institutions, as against those of
individuals. See Stewart (2013).
UNDP 1994, p. 3.
UNDP 1994; Ogata and Sen 2003.
Macfarlane and Khong 2006.
As per UN General Assembly 2012 res-
olution 66/290 “the notion of human
security includes the following: (a) The
right of people to live in freedom and
dignity, free from poverty and despair.
All individuals, in particular vulnerable
people, are entitled to freedom from
fear and freedom from want, with an
equal opportunity to enjoy all their
rights and fully develop their human
potential; (b) Human security calls
for people-centred, comprehensive,
context-specific and prevention-
oriented responses that strengthen the
protection and empowerment of all
people and all communities; . . .”.
Stiglitz and Kaldor 2013a.
Dutta, Foster and Mishra 2011, p. 1.
UN 2012a.
Based on available data from 91
countries.
Sundaram 2013.
Based on available data from
104 countries for 2000–2012,
representing 5.4 billion people
(Human Development Report Office
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
calculations based on data from
the World Bank’s PovcalNet (http://
iresearch.worldbank.org/PovcalNet/,
accessed 15 February 2014).
Data are available for eight countries.
ILO 2010c.
Sundaram 2013.
Sundaram 2013.
Stiglitz and Kaldor 2013a.
IPCC 2013.
UNDP 2011a.
La Trobe 2002.
UN General Assembly 2013c.
Kaul 2014.
Stiglitz and Kaldor 2013a.
Horizontal inequality is inequality
between groups. See Stewart, Brown
and Mancini (2005).
Minorities at Risk Project 2014.
Swiderska and others 2009.
WHO 2011b.
UNDESA 2009.
IPU 2013; Munyaneza 2013.
See Liem and Rayman (1982), Darity
and Goldsmith (1996) and Muqtada
(2010), among others.
See Burgard, Brand and House 2007;
Sullivan and von Wachter 2009; Cutler
and others 2002; Brand, Levy and
Gallo 2008.
Zaidi 2014; Hardgrove and others
2014; Young 2014.
Nussbaum 2005.
Boudet and others 2012.
ILO n.d.
IMF 2014.
IMF 2014; ILO 2013e.
O’Sullivan, Mugglestone and Allison
2014.
Stiglitz and Kaldor 2013a.
Ismi 2013.
Østby 2008b; Stewart 2008.
Stewart 2008.
Stewart 2013.
Kelly and others 2008.
Fitoussi and Malik 2013.
Sen 1992.
Kant 1781.
Sen 1999, p. 8.
Sen, Stiglitz and Fitoussi 2009, p. 4.
The 1993
HDR
(UNDP 1993) defines job-
less growth as when output rises but
increases in employment lag behind.
World Bank 2012.
HelpAge International 2013.
Ninth World Trade Organization
Ministerial Conference (2013) web-
site, https://mc9.wto.org.
Revkin 2012.
Polanyi 1944.
3
4
5
6
7
8
9
10
11
12
13
Chapter 2
1
2
UNDP 2013a.
Sen, Stiglitz and Fitoussi 2009, p. 7.
14
15
Developed countries are not included
in regional aggregates, but they are
included in the human development
aggregates.
Some caveats: Since the HDI is
bounded to a maximum of 1, it might
be subject to declining marginal
improvement; because the income
component (a flow) is often more
volatile than the health and education
components (stocks), short-term
changes might be driven mainly by in-
come (particularly during an economic
crisis); and the lack of recent data
(especially on education and for the
poorest countries) may hide overall
progress. Nonetheless, the magnitude
of the changes and the fact that the
conclusions are fairly robust to differ-
ent cutoff points (for instance, 2005
instead of 2008) suggest that more-
meaningful factors are at play.
The smaller sample (compared with
the 187 countries that have an HDI
value for 2013) is due to the lack of
a sufficiently long time series for
several countries.
For instance, better access to skilled
antenatal care and birth attendance
contributed to sharply reduced mater-
nal mortality in Nepal. Free universal
access to education enhanced human
development in Sri Lanka. And cash
transfer programmes in several
Latin American countries helped
reduce poverty. See also the 2013
HDR
(UNDP 2013a) for key drivers of
progress.
UNDP 2010.
In some regions this might be due to
the difficulty of raising educational
attainment beyond a certain level—
such as primary education in South
Asia and Sub-Saharan Africa.
UNDP 2013a.
These data are not directly compa-
rable with those in figure 2.4 since
these data refer to the number of
countries that experienced a specific
trend in inequality (rather than provid-
ing a measure of inequality at the
regional level) as well as having a
longer timeframe.
UNDESA 2013b.
Lakner and Milanovic 2013. The
authors adjust previous estimates—
which pointed to a recent decline in
global inequality—to address the
likely underreporting of the highest
incomes in surveys.
Milanovic 2012. The share of the
richest 1 percent might be severely
underestimated, given the difficulty of
estimating their incomes.
Fuentes-Nieva and Galasso 2014.
Stiglitz 2012a.
16
The Economist
2013b.
17
Atkinson 2013.
18
Refers to 2000–2012 and is expressed
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
in 2005 purchasing power parity terms
(based on World Bank 2014a).
Refers to 2005–2012 (based on HDRO
calculations).
UNDP 1993.
The International Labour Organization
suggests that if the current trends in
labour markets persist, employment
rates will return to precrisis levels in
2015 in developing countries but only
after 2017 in developed countries (ILO
2013e).
ILO 2013c.
Sen 2013.
UNDP 2011a, 2013. The 2011
HDR
defined sustainable human
development as “the expansion of the
substantive freedoms of people today
while making reasonable efforts to
avoid seriously compromising those of
future generations” (p. 18).
UN 2013b.
See Rockström and others (2009) and
Fitoussi and Malik (2013).
UNDP 2013a.
Pineda 2013.
UNCTAD 2012b.
ILO 2013a.
Kim and Conceição 2010.
Molina and others 2014. An HDI
downturn is defined as a slowdown
in HDI growth with respect to its long-
run trend. The study also finds that
the nonincome components of human
development are more resilient to
shocks than the income component is
(perhaps because the income compo-
nent is a flow rather than a stock).
There is also evidence that capital
account liberalization leads to a
persistent increase in inequality (see
Furceri and Loungani 2013).
World Bank 2013c.
This naturally depends on the source
and type of economic growth.
Stiglitz 2012a. For instance, in the
United States the stagnation of real
wages for workers at the bottom of
the distribution scale—when com-
bined with easy credit—contributed
to the housing bubble of the early
2000s. At the global level macro-
economic imbalances contributed to
greater economic instability, which
also played an important role in the
global economic crisis.
Berg and Ostry 2011b.
Naylor and Falcon (2010) argue that
commodity price variations in the
2000s were similar to the extreme
volatility that was observed in the
1970s—and thus considerably
larger than in the 1980s and 1990s.
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40
41
42
43
44
45
46
47
Macroeconomic policy, exchange
rates and petroleum prices were key
determinants of price variability over
2005−2010.
The 2011
HDR
(UNDP 2011a) argued
that environmental risk can greatly
increase global inequality.
Cutter and others 2009.
WHO 2011a.
IPCC 2013.
IPCC 2014.
UNDP 2013c.
The Uppsala Conflict Data Program/
Peace Research Institute Oslo
defines four types of armed conflict:
interstate, which occurs between
two or more states, internal, which
occurs between the government of
a state and one or more internal op-
position groups without intervention
from other states, internationalized
internal, which occurs between the
government of a state and one or
more internal opposition groups
with intervention from other states
(secondary parties) on one or both
sides, and extrasystemic, which oc-
curs between a state and a nonstate
group outside its own territory.
Extrasystemic conflicts mainly relate
to the colonial wars. To reduce the
number of categories, extrasystemic
conflicts are included in interstate
conflicts, and internationalized inter-
nal conflicts are included in internal
conflicts.
For the past three years income
inequality has topped the World
Economic Forum’s Global Risks rank-
ing in terms of likelihood (see World
Economic Forum 2014).
OECD 2012.
11
12
13
14
15
16
17
Chapter 3
We are particularly concerned about
the potential restriction of choices
that people have reason to value.
2
See Young (2014).
3
Fuentes-Nieva and Galasso 2014.
4
Stiglitz 2012b.
5
Pineda and Rodríguez 2006a; Bénabou
2000; Alesina and others 1996.
6
UNDP 2013a.
7
Schroder-Butterfill and Marianti 2006.
8
Results also depend on the kind of
indicator used. For example, the
potential for catchup after early stunt-
ing is found to be positive for height
z
scores, but there is less evidence
of catchup for height. This implies
that there are cases in which reversal
is possible but that the evidence
is mixed and context specific (see
Cameron, Preece and Cole 2005).
9
Shonkoff and Richter 2013.
10
Sub-Saharan Africa is the only region
that has not substantially reduced the
share of children under age 5 since
1970 (Human Development Report
1
18
19
20
21
22
Office calculations based on Lutz and
KC 2013).
See Young (2002).
Shonkoff and Phillips 2000; McCain,
Mustard and McCuaig 2011; Shonkoff
and others 2012.
Hertzman and Boyce 2010.
Early human development is an intri-
cate and dynamic interaction between
nature and nurture—that is, genes
and the environment. Genes ‘listen’ to
the environment, and the environment
‘adapts’ the genetic blueprint. The
environment modifies expression of
genes (for example, gene variants,
phenotype) and can turn genes on and
off through the epigenetic process.
In this process, experiences leave
a chemical signature, or epigenetic
mark, that alters genetic expression
without changing the DNA sequence.
Many of these changes are temporary,
but others seem to endure (see
McCain, Mustard and McCuaig 2011
and Young 2013).
These results are not determinis-
tic; they simply reflect that earlier
adversity is associated with a higher
likelihood of adverse effects in the
future (see Anda and others 2006,
Felitti and others 1998, Hertzman and
Boyce 2010 and Young 2014).
Bhutta 2002; Engle and others 2007,
2011; Alderman and Engle 2008;
Armecin and others 2006.
McEwen 2008. Exposure to a develop-
ment risk increases the likelihood of
compromised development, but it is
not deterministic. It implies only that
the child is more likely to face de-
velopment challenges. The evidence
also highlights that this could reduce
the impact of the child’s exposure to
protective factors or interventions to
promote early childhood development
(see Wachs and Rahman 2013).
Heckman 2006.
Young 2014.
Many of the same risks that are
commonly encountered by children
growing up in poverty in low- and
medium-income countries are also
encountered by poor children growing
up in high-income countries, even
though risks are fewer for the latter
(see Wachs and Rahman 2013).
Lack of birth registration may severely
limit a child’s right to full citizen-
ship, and it may prevent a child from
receiving most forms of child protec-
tion, such as health care. The region
in which birth registration is most
challenging is South Asia, which ac-
counted for about half the 51 million
children without birth registration in
the world in 2007 (see Engle, Rao and
Petrovic 2013).
Nutrition is a critical factor beginning
at the early development stages. Both
the quantity and quality of infants’ nu-
trition have important effects on their
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24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
growth. Feeding practices and wean-
ing of infants affect their weight and
their morbidity and mortality. Studies
show that suboptimal breastfeeding
and nonexclusive breastfeeding in
the first 6 months of life account for
10 percent of the burden of disease
in children under age 5 (Black and
others 2008).
Young 2014.
Brooks-Gunn and Duncan 1997.
Engle and others 2007.
Hart and Risley 1995. Carneiro
and Heckman (2003) also found
differences in cognitive skills that
correlated with socioeconomic class
as early as age 6.
Ardila and others 2005. A few studies
in developing countries are showing
similar findings of the link between
socioeconomic status and cognitive
development (Naudeau and others
2011). A study in Ecuador (Paxson and
Schady 2007) shows that household
wealth (and parent education) is asso-
ciated with higher scores on tests of
receptive language and that the gaps
among older children are larger.
Interactions include back-and-forth
communication with caregivers,
vocalization, gestures, facial expres-
sions and body movements. The
interactions may be warm expressions
by mothers, physical contact and
play, visual mutuality and vocal
exchanges, and mothers’ response
to infants in timely and appropriate
ways (Bornstein and others 2008). See
also Bornstein and Putnick (2012) on
cognitive and socioemotional positive
caregiving activities.
NICHD 2006.
However, the effect was negative and
small but not statistically different
from zero for children ages 7–12 at
the time of the crisis (Stevens and
Schaller 2011; Falkingham 2000;
Frankenberg, Duncan and Beege
1999).
Falkingham 2000.
Child labour is also an outcome of
income insecurity and labour market
vulnerability among working adults.
Child labour is a coping mechanism
of poor households—precisely those
most vulnerable to adverse shocks to
their livelihoods (Basu and Van 1998).
Young 2014.
Heckman 2013.
McCain, Mustard and Shanker 2007;
Mustard 2006.
WHO 2002; Heise 1998; Abramsky
and others 2011; Abrahams and
Jewkes 2005.
However, some authors highlight that
underreporting issues could make it
difficult to have conclusive evidence
(Berliner and Elliot 1996).
Pereda and others (2009), examining
65 studies from 22 countries.
Bos and others 2009.
40
Pinheiro 2006; Plan International
2012.
41
The International Labour Organization
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
defines youth as people ages 15–24
(ILO 2013b).
Human Development Report Office
calculations based on UN (2014b) and
Lutz and KC (2013).
ILO 2013a.
Verick 2009; Ha and others 2010.
ILO 2012a.
Verick 2009.
Assaad and Levison 2013.
As documented in UNDP (2013a).
The ‘youth bulge’ is estimated to
bring more than 120 million new
young people a year into the job mar-
ket, mostly in developing countries
(see World Economic Forum 2014).
The World Bank estimates that more
than 25 percent of young people in
the world (around 300 million) have no
productive work (see Newhouse 2013).
This is not only because of economic
considerations, but also because of
the lack of trust and social ties that
exclusion from productive opportuni-
ties brings about (see Assaad and
Levison 2013).
Under the base case scenario, youth
unemployment is expected to be even
slightly higher by 2050 (14.3 percent).
The gap will close in South Asia,
albeit slowly, as supply begins to
decrease around 2035.
Boyden, Hardgrove and Knowles 2012.
Pells 2011.
Ames, Rojas and Portugal 2009;
Woldehanna, Jones and Tefera 2008.
See also Vennam and others (2009).
Morrow 2013.
Rolleston and James 2011. These
results are not driven by differences
in school attendance, since in these
countries girls are more likely to be in
school at age 15 (see Hardgrove and
others 2014).
Including the risk of social stigma to
lesbian, gay, bisexual, transgendered
and questioning young people in all
societies.
Another vulnerability that comes with
sexual experience is the exposure
to risks of sexually transmitted
infections.
Hardgrove 2012.
Bunting and McAuley 2004.
Pinheiro 2006.
Kelly 2010.
UNDP 2013b.
Krug and others 2002a.
Vulnerable employment is the sum
of unpaid family workers and own-
account workers.
International Labour Organization
projections show that by 2017 the
share of working poor among the total
employed population is expected to
decline to 17 percent in South Asia
and 32 percent in Sub-Saharan Africa
(ILO 2013a).
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69
World Bank 2012.
70
ILO 2013e.
71
Von Wachter 2014. See also Stephens
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
(1997); Schmieder, von Wachter and
Bender (2009); Eliason and Storrie
(2009); and Morissette, Zhang and
Frenette (2007).
See Kaplan, Martinez and Robertson
(2005) for the case of Mexico.
Frankenberg, Duncan and Beege 1999;
Smith and others 2002; McKenzie 2003.
Burgard, Brand and House 2007;
Sullivan and von Wachter 2009; Cutler
and others 2002.
Brand, Levy and Gallo 2008.
For women, income disparity in
old age depended particularly on
age (younger cohorts do better), on
education (having a higher level of
educational attainment reduces the
gender gap), and occupation and sec-
tor of employment when working (see
Bardasi and Jenkins 2002).
ILO 2012c.
For category 3 categories the
number of jobs fell, but the lowest
quality jobs were lost first, resulting
in improved overall job quality. For
category 2 countries employment
rates rose from 2007 but as a result of
an increase in low-quality jobs.
ILO 2012b.
Heintz 2012.
Bargain and Kwenda 2009; von
Wachter 2014.
Ono and Sullivan 2013; Keizer 2008.
ILO 2013a.
Arriagada 1994; Cerrutti 2000; Casale
2003.
Bahçe and Memi 2013; Berik and
Kongar 2013.
Heath 2012.
Stevens and Schaller 2011;
Falkingham 2000.
Mejia-Mantilla 2012; Falkingham
2000.
World Bank 2012; Fischer 2013.
World Bank 2012.
Kuhn, Lavile and Zweimuller 2009.
Human Development Report Office
calculations based on Lutz and KC
(2013).
Barrientos 2006.
Those who have contributed to a
pension scheme during their working
life will have some income and are
less vulnerable than those who have
had poorly paid, part-time, insecure or
informal employment (Zaidi 2013).
Kondkher, Knox-Vydmanov and Vilela
2013.
Some studies indicate that regularly
and by right delivered social pensions,
even where relatively small, improve
the socioeconomic conditions of older
people, supporting their role as family
members that actively participate
in taking decisions (see Beales
2012). The positive effects of social
pensions could be extended to other
family members, especially children.
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98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
Children in families that include an
older person in receipt of a social
pension have been shown to benefit,
in terms of nutrition and educa-
tion, from the contribution of these
relatively small payments to family
income (see Duflo 2000).
Widowhood and the onset of dis-
ability are also important triggers
that have an adverse impact on the
financial well-being of older people
(see Burkhauser, Holden and Feaster
1988; Burkhauser, Butler and Holden
1991; Emmerson and Muriel 2008;
Holden, Burkhauser and Myers 1986;
and McLaughlin and Jensen 2000).
UNFPA and HelpAge International
2012.
OECD 2011b.
ECLAC 2011.
WHO 2011b.
Masset and White 2004.
UNFPA and HelpAge International
2012.
Similarly, the World Health
Organization (WHO 2007) found that
particular groups of older women
were more at risk of poverty in all
countries, including those who are
widowed, divorced or living with
disabilities and those caring for
grandchildren and children orphaned
by AIDS.
The United Nations Children’s Fund
(UNICEF 2006) estimates that in East
and Southern Africa 40–60 percent
of orphaned and vulnerable children
are cared for by their grandparents.
Similarly, Beegle and others (2009)
indicates that older people take care
of as many as 81 percent of orphaned
children.
Stewart, Brown and Mancini 2005.
DFID 2001.
Chambers 1989.
UN Enable 2013.
Around 1.5 million people (out of
10 million) became homeless and
moved to camps after the earthquake.
Because of the limited capacity of the
state and public services to conduct
reconstruction and protect the popula-
tion, the vulnerability of the poorest
households increased even further
(with epidemics, inundations and
the like), and their living conditions
worsened (see Châtaigner 2014 and
Herrera and others 2014).
Rentschler 2013.
The World Bank’s PovcalNet database
provides estimates of income poverty
based on surveys from 2000–2012 for
104 countries representing 5.4 billion
people. The number of people living
on less than $1.25 a day is 1.2 billion,
or 22 percent of the population in
these 104 countries. International
poverty lines are also expressed in
2005 purchasing power parity terms.
The population considered near
multidimensional poverty has
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115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
20–33 percent of deprivations. This
group can be called the ‘near poor’.
The population considered near poor
in a monetary sense has an equivalent
income of more than $1.25 a day but
less than $2.50 a day.
Socially and geographically disadvan-
taged people who are exposed to per-
sistent inequality, including horizontal
inequality (for example, inequality
based on gender, age, race, ethnicity
and disability), have been found to
be particularly negatively affected by
climate change and climate-related
hazards (see IPCC 2014).
World Bank 2013b.
UN Global Pulse 2012.
Stiglitz and Kaldor 2013a.
Frazer and Marlier 2012.
Hallegatte and others 2010;
Rentschler 2013.
Rentschler 2013.
Rentschler 2013.
This simply reflects that the poorest
households are exposed to a larger
number and a wider range of types
of shocks or adverse events than
wealthier households are (see Boyden
2009; Woodhead, Dornan and Murray
2013).
Krutikova 2010.
UNDP 2011a.
Countries ranked in the top quintile
of the Organisation for Economic Co-
operation and Development’s Social
Institutions and Gender Index, which
measures underlying discrimination
against women by capturing and
quantifying discriminatory social
institutions (see OECD 2010).
The study used a large dataset of 59
countries, covering 1.5 million births
between 1975 and 2004 (Conceição,
Mukherjee and Nayyar 2011; Baird,
Friedman and Schady 2007).
Friedman and Schady 2009.
European Parliamentary Research
Service 2013.
Ferris, Petz and Stark 2013.
Supported by Swayam Shikshan
Prayog, a Mumbai-based nongov-
ernmental organization, and the
Covenant Centre for Development, a
Tamil Nadu–based nongovernmental
organization, the women visited
13 villages in Nagapattinam and
Cuddalore, the two worst affected
districts. They identified ways to
promote the villages’ long-term
housing and livelihood rehabilitation
programmes and actively supported
the population by talking with survi-
vors, sharing stories and organizing
meetings with women’s groups, youth
groups and fisher cooperatives (see
Gupta and Leung 2011).
UNDESA 2009.
In view of the diversity of indigenous
peoples, the UN system has not ad-
opted an official definition of the term
‘indigenous’. Instead it has developed
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134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
a modern understanding of the term
based on such criteria as self-
identification as indigenous peoples;
historical continuity with precolonial
or presettler societies; strong links to
territories and surrounding natural re-
sources; distinct social, economic and
political systems; distinct language,
culture and beliefs; and resolve to
maintain and reproduce ancestral en-
vironments and systems as distinctive
peoples and communities.
Vinding and Kampbel 2007.
For example, during an August 2013
heat wave in the Hungarian town of
Ozd, water supply was shut off in a
large number of public water taps
on which the Roma depend. This left
thousands of them waiting to collect
water from the public taps still work-
ing (see Dunai 2013).
Hughes and others 2012.
For example, wheelchair users may
have no difficulty relating to general
disaster risk reduction information.
However, those same individuals may
face severe barriers in safely protect-
ing themselves during and evacuating
after an earthquake.
Robinson, Scherrer and Gormally
2013.
Disability is also related to lower
levels of education. Evidence shows
a higher likelihood of experiencing a
disability at lower levels of education.
This is true for all regions, though to
a varying degree (see KC and others
2014).
WHO 2011b.
Around a third of migration from
developing countries is irregular
migration (UNDP 2009b).
Female migrants accounted for
49.6 percent of international migrants
in 2005 (UNFPA 2008).
UNFPA 2008.
UNDP 1994, p. 1.
Gasper and Gomez 2014.
WHO 2002.
Quite concretely, the cost to society
of violence is sizeable. A 1992 study
on the United States estimated
the annual direct and indirect cost
of gunshot wounds at $126 billion
and of cutting or stab wounds at
$51 billion (WHO 2002). In addition,
a joint Inter-American Development
Bank–United Nations Development
Programme study found important
costs of crime and violence as a
percentage of GDP in five Latin
American countries in 2010, ranging
from 3 percent in Chile and Uruguay
to over 10 percent in Honduras (see
UNDP 2013b).
Gasper and Gomez 2014.
UNDP 2005, 2013b.
UNDP 2012b.
Stiglitz and Kaldor 2013a.
OECD 2011a.
Stewart 2010.
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Excluded by mainstream society from
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157
158
159
160
161
162
163
164
165
participating fully in the economic,
social and political life of their
society, often because some group
characteristics (for example, cultural,
religious or racial). See Stewart and
others (2006).
Zeitlyn 2004.
Stewart 2010.
Motives of group leaders may be lack
of political power, while followers
care more about social and cultural
inequality (see Stewart 2008). See
also OECD (2011a) for a discussion of
some critical socioeconomic drivers of
inequality in developing countries and
their interaction.
Østby’s (2008a) analysis of 55 coun-
tries over 1986–2003 finds a signifi-
cant rise in the probability of conflict
in countries with severe economic
and social horizontal inequality.
Mancini (2008) indicates that violent
conflict is more likely to occur in ar-
eas with less economic development
and greater religious polarization. He
also finds that measures of (vertical)
income inequality as well as other
purely demographic indicators of
ethnic diversity did not affect the
likelihood of communal violence (see
also Stewart 2008, 2010 and Hoeffler
2012). Other research has suggested
considering social exclusion as
vertically occurring processes of dis-
advantage, since this provides a more
nuanced understanding of how social
dislocations may lead to conflict in
a way that avoids the tendency to
blame inequality-induced conflict
on the lower social strata without
incorporating the role often played by
the elites in many conflict episodes
(see Fischer 2008).
The connection between social exclu-
sion and conflict can be illustrated
in many examples: the Muslim rebel-
lions in the Philippines and Thailand;
the separatist movements of Aceh,
Timor-Leste and Papua in Indonesia;
and the separatism of East Pakistan
and Eritrea, among others (see
Stewart 2010).
Evidence links some of these episodes
to periods of economic policy reform
(such as changes in trade policy). See
Kanbur (2007).
Marc and others 2012.
Stewart and others 2006. See also
Stewart (2010) for a typology of the
different approaches to manage
horizontal inequality.
Parlow 2012.
EWSCWA 2007.
UNHCR 2012.
Of this figure, 17.7 million were inter-
nally displaced persons and 10.5 mil-
lion were refugees (2.3 million more
than in 2011). The refugee figure was
close to that of 2011 (10.4 million),
and the number of internally displaced
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167
168
169
170
171
172
persons increased 2.2 million since
the end of 2011 (UNHCR 2012).
Conflict—in particular, civil wars—
was found to be associated with
underperformance on the Human
Development Index (progress
significantly below what could be
expected given the initial conditions),
since 60 percent of countries that
experience this kind of conflict (28
of 46 countries in the sample) under-
performed (see UNDP 2010).
Human Development Report Office
calculation based on Uppsala Conflict
Data Program data on battle deaths.
Other important services that may
be severely affected by conflict are
reproductive health services. For ex-
ample, couples may not have access
to family planning services, increasing
unwanted pregnancies and unsafe
abortions (see WHO 2000).
Sudanese children ages 7–12 who
were living in northern Uganda and
had been exposed to war were more
likely to have behavioural prob-
lems, symptoms of depression and
complaints similar to post-traumatic
stress disorder than were Ugandan
children who had not been affected
by war (Paardekooper, De Jong and
Hermanns 1999).
Using household data for Colombia,
Engel and Ibanez (2007) show that
perceptions of safety can have a
decisive influence on migration.
Acts of gender-based and sexual
violence against women and girls
(including mass rape) are increasingly
common features of war and conflict
(see WHO 2000).
Gagro 2010.
9
Deacon and Cohen 2011.
10
Heller (2005) defines fiscal space as
42
ILO 2006a.
43
Heyer, Stewart and Thorp 1999;
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
Chapter 4
1
2
3
4
5
6
7
8
Bolsa Família evolved from Bolsa
Escola as a conditional cash transfer
programme with incentives for
parents to keep children in school
and regularly visit health centres. In
2006 Bolsa Família was estimated to
cost 0.5 percent of Brazil’s GDP and
about 2.5 percent of total government
expenditure, while covering about
11.2 million families, or about 44 mil-
lion Brazilians.
Mkandawire 2001; Kumlin and
Rothstein 2005.
UN General Assembly 2013b, p. 12.
UN General Assembly 2013a, p. 11.
Deacon and Cohen 2011.
Korpi and Palme (1998, p. 661) define
the paradox as, “The more we target
benefits at the poor and the more con-
cerned we are with creating equality
via equal public transfers to all, the
less likely we are to reduce poverty
and inequality.”
Mkandawire 2001; Rothstein 2001.
Baldwin 1990.
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31
32
33
34
35
36
37
38
39
40
41
room in a government´s budget that
allows it to provide resources for a de-
sired purpose without jeopardizing the
sustainability of its financial position or
the stability of the economy. The Nordic
model could be financed precisely
because it also included provisions to
support full employment. Full employ-
ment generated the tax revenues
needed to pay for the Nordic model.
UNICEF 2008.
ILO and UNDP 2011.
UNICEF 2008.
UNICEF 2008.
ILO 2011b.
Waters, Saadah and Pradhan 2003.
Waters, Saadah and Pradhan 2003.
Mok, Lawler and Hinsz 2009.
At the same time, the traditional
familial and community networks and
other social institutions in Thailand
remained relatively stable, with the
rural-urban links providing an informal
safety net for the dispossessed.
UNDP 2011c.
Ringen 1988.
Esping-Andersen 1999; Palme 2006.
ILO 2011b.
Esping-Andersen and Myles 2008.
Jäntti and Bradbury 2001.
Nelson (2004) traced the high poverty
reduction in Sweden to high redistri-
bution by non–means tested provi-
sions, such as universal provisions.
ILO and UNDP 2011.
UNDP 2013a.
Female literacy and education
indicators for women can be better
indicators of the coverage education
since aggregate indicators may
average out gender differences in
education achievements. This is par-
ticularly true for patriarchal societies
where women are likely to have less
access to education and health care
resources than men are.
Meng and Tang 2010.
Xinhua New Service 2013.
MacLeod and Urquiola 2012.
Young 2014.
Dalman and Bremberg 1999.
The advantages gained from effective
early interventions are best sustained
when they are followed by continued
investments in high-quality education.
The returns on school investment are
higher for people with stronger cogni-
tive skills, where cognitive develop-
ment happens in the early years.
Heckman 2005.
Bornstein and others 2008.
Hackman, Farah and Meaney 2010;
Nelson, Fox and Zeanah 2014.
For an overview of the literature on
the correlation between socio-
economic status and early childhood
development, see Young (2014).
ILO 2014.
Amsden 2001; Chang 1993.
Thorp, Stewart and Heyer 2005.
44
For reviews of public works pro-
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
grammes, see Devereux and Solomon
(2006) and Lal and others (2010).
Zepeda and others 2013.
Kostzer 2008.
Muqtada 1987; Ahmed and others
1995.
Marshall and Butzbach 2003;
Devereux and Solomon 2006.
Langer and others 2012; Date-Bah
2003.
KC and others 2014.
Hausmann 2013.
The understanding of diversified
rural livelihoods is one of the generic
insights coming out of the literature
on livelihoods.
In some cases development transi-
tions may lead to new social security
regimes, or there might be feedback
effects between economic transitions
and social protections.
China National Bureau of Statistics
2011.
UNRISD 2010.
UNDP 2011a.
Hoon 2011.
Stephan 2009.
Moreover, the point is also made that
Germany’s wage subsidies over the
period seem to be fiscally benefi-
cial. Estimated fiscal gains amount
to €1,600–2,000 for men in East
Germany and to €500–1,000 for men
in West Germany and women in East
Germany over the observation period
of 3.5 years. Careful design and
implementation are critical to avoid
windfall gains to employers that do
not produce net benefits.
Burns, Edwards and Pauw 2010.
Gupta and Larssen 2010, p. 26.
Specifically, the researchers found
“that for the long-term disabled with
a working capacity reduction in the
18–49 age group, employment prob-
ability is raised by 33 pct. points after
the scheme was introduced relative to
a mean employment rate at a baseline
of 44 percent.”
Bonilla García and Gruat (2003, p. 13)
define social protection “as the set
of public measures that a society pro-
vides for its members to protect them
against economic and social distress
that would be caused by the absence
or a substantial reduction of income
from work as a result of various
contingencies (sickness, maternity,
employment injury, unemployment,
invalidity, old age, and death of the
breadwinner); the provision of health
care; and, the provision of benefits for
families with children.”
Roxburgh and Mischke 2011
Paci, Revenga and Rijkers 2011.
ODI 2008.
Paci, Revenga and Rijkers 2011, p. 13.
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67
Onyango, Hixson and McNally 2013.
68
Haughton and Khandker 2012.
69
Data on public social expenditures
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
are derived from OECD (n.d.). The
main social policy areas are old age,
survivors, incapacity-related benefits,
health, family, active labour market
programmes, unemployment, housing
and other social policy areas. Those
areas can be further divided by
type of expenditure (cash benefits,
benefits in-kind), type of programme
(active labour market programme,
incapacity-related) and source (volun-
tary private, public).
Furceri 2009.
OECD 2013b.
Assimaidou, Kiendrebeogo and Tall
2013.
Von Wachter 2014.
World Bank 2012.
Fischer 2013.
Posel, Fairburn and Lund 2006.
ILO 2009.
ILO 2010c, 2011b.
ILO 2011a.
Gassmann and Behrendt 2006.
ILO 2010c.
ILO 2006b.
Burkina Faso, Cameroon, Ethiopia,
Guinea, Kenya, Senegal, the United
Republic of Tanzania, Bangladesh,
India, Nepal, Pakistan and Viet Nam.
ILO 2008.
Easterly, Ritzen and Woolcock 2006.
The classification of less- and more-
cohesive societies is the same as in
Easterly, Ritzen and Woolcock (2006)
and is based on measures of ethno-
linguistic fractionalization and income
share of the middle class (defined as
the middle 60 percent of the income
distribution). Easterly, Ritzen and
Woolcock (2006) define more cohesive
societies as those in the lower half
of ethno-linguistic fractionalization
and in the upper half of income share
of the middle class and less cohesive
societies as the reverse. Since
1980 more-cohesive societies have
progressed faster than less cohesive
societies, but the difference became
much more pronounced after the
recession in less cohesive societies in
the 1980s and after the global crisis
in 2008.
The Economist
2013a.
Telles 2004.
Carneiro 2013.
Naidoo and Kongolo 2004.
Maisonnave, Decaluwé and Chitiga
2009.
Burger and Jafta 2010.
Sander and Taylor 2012.
World Bank 2011.
To foster desired behaviours, econo-
mists emphasize material incentives
provided through contracts, markets
or policy. While these often work
very effectively, there also many
puzzling cases where incentives fail
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
to have the desired effects (crowding
out) or where minor incentives have
a disproportionately large impact
(crowding in, shift in norms). Societies
also sometimes persist with what
seem like inefficiently costly forms
of incentives (prison rather than fines
or reparations) or renounce others
that might be quite cheap or effective
(public shaming). For a more detailed
discussion, see Benabou and Tirole
(2011).
Young 2007.
Kinzig and others 2013.
Benabou and Tirole 2011.
UNDP 2009a.
UNDP 2009a.
Rodrik 2000, p. 3.
Easterly and others 2006.
Evans and Heller forthcoming.
Stewart 2013.
International Policy Centre for
Inclusive Growth 2009.
UNDP 2003.
Sobhan 2014.
UNISDR 2012b.
Haque and others 2012.
UNISDR n.d.
UN System Task Team on the Post-
2015 UN Development Agenda 2012a.
UNDP 2013d.
Lund and Myers 2007.
Marc and others 2012.
World Bank 2012.
19
Stiglitz 2013.
20
See Kaul (2013, 2014) and Kaul and
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
Chapter 5
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
World Bank 2014b.
United Nations Population Division
2013.
Hale 2014.
Bank for International Settlements
2013.
Wadhams 2010.
Canis 2011.
UNHCR 2012.
Kaul 2014.
Kaul 2014.
Kaul and others 2003; Kaul and
Conceição 2006.
Universal social goods are goods and
services that society decides should
be guaranteed to all people, indepen-
dent of their capacity to pay, and the
rules that citizens should respect in
their interaction with each other (such
as nondiscrimination and protection
of weaker members of society). See
Ocampo (2013).
See Musgrave (1959) for the original
theorization of merit goods. For an
explanation of merit goods in the
global context, see Sandler, Arce and
Daniel (2002).
Fenner and others 1988.
WHO 2013a.
Médecins Sans Frontières 2013.
Held and Young 2013.
Stiglitz and Kaldor 2013b.
Held and Young 2011.
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
others (2003) for more on global
public goods. See Musgrave (1959) for
original theorization of merit goods.
For explanation of merit goods in the
global context, see Sandler, Arce and
Daniel (2002). See Ocampo (2013) for
a discussion of universal social goods
(goods that aim to promote common
social norms and standards and pro-
mote equality among individuals).
Ortiz and others 2013.
Crouch 2011.
Evans and Sewell 2013.
ILO 2010c.
UN 2000.
UN 1948.
UN 1966.
EU 2007.
UN 2009.
UN 1989.
ILO 1952.
See UNCSD (2012) for details of the
proposal to develop an inclusive and
transparent intergovernmental pro-
cess on the sustainable development
goals that is open to all stakeholders
with a view to developing global
sustainable development goals to be
agreed by the UN General Assembly.
Naudé, Santos-Paulino and
McGillivray 2011.
UNDP 2012c.
International Dialogue on
Peacebuilding and Statebuilding 2011.
The G7+ members are Afghanistan,
Burundi, the Central African Republic,
Chad, Côte d’Ivoire, the Democratic
Republic of the Congo, Ethiopia,
Guinea, Guinea-Bissau, Haiti, Liberia,
Nepal, Papua New Guinea, Sierra
Leone, the Solomon Islands, Somalia,
South Sudan, Timor-Leste and Togo.
Sierra Leone 2013.
Targets 8.B and 8.C of the Millennium
Development Goals encourage increas-
ing official development assistance
for developed countries but do not list
specific targets. However, at the 2005
Group of Eight Summit in Gleneagles,
Scotland, donor countries pledged
to provide official development as-
sistance at the level of 0.7 percent
of gross national income by 2015. In
2012 official development assistance
was less than half this goal, at only
0.29 percent of (UN 2013c).
UNDP 2013a.
Hamdani 2014.
OECD 2013a.
OECD 2013a.
UNDP 2011b.
Hollingshead 2010.
Africa Progress Panel 2013.
G20 2013.
OECD 2011c.
UNDP 2013a.
Ocampo 2010.
Stiglitz and Kaldor 2013b.
Cattaneo, Gereffi and Staritz 2010.
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
UN Global Pulse 2010.
Cho and Newhouse 2013.
Jansen and von Uexkull 2010.
Jansen and von Uexkull 2010.
Dureya and Morales 2011.
Gavrilovic and others 2009.
Bluedorn and others 2013.
Ferri, Liu and Stiglitz 1999.
The Basel Committee on Banking
Supervision has introduced stringent
regulatory standards, including
increasing capital buffers to draw
on during periods of financial stress,
measures to improve the quality of
bank capital and a global minimum
debt to equity ratio. Promising though
it is, the 2010 Basel III Accord is
based on voluntary commitments and
has yet to be fully implemented (see
Held and Young 2011).
UNDP 2013a.
Ratha and others 2013.
Ratha and others 2013.
This cost was for transfers from
Ghana to Nigeria (World Bank 2013a).
IMF 2012.
G20 2011.
Kynge 2014.
Ocampo 2006; Machinea and Titelman
2007.
Ocampo and Griffith-Jones 2007.
Grabel 2012.
The leaders of Brazil, China, India,
the Russian Federation and South
Africa agreed to pool their resources
to establish a BRICS Bank during the
March 2013 BRICS Summit in South
Africa.
Park 2006.
Culpeper 2006.
UNDP 2013a.
Hamdani 2014.
Jansen and von Uexkull 2010.
Hamdani 2014.
Thrasher and Gallagher 2008.
Gallagher, Griffith-Jones and Ocampo
2012.
WTO 2001 p. 1.
WTO 2013.
Von Braun and Tadesse 2012;
Hoekman and Martin 2012.
Khor and Ocampo 2011.
Ghaenm 2011.
Khor and Ocampo 2011.
Kennedy and Stiglitz 2013.
Odagir and others 2012; Pollock 2006.
Abdel-Latif 2012.
Hogerzeil and others 2013.
Khor and Ocampo 2011.
IPCC 2013.
World Bank 2014b.
IPCC 2013.
UNDP 2012a.
Hirsch 2012.
Polk 2013.
Polk 2013.
UN General Assembly 2013c.
Hale 2014.
UN-Habitat 2011.
Lutsey and Sperling 2008.
WWF 2007.
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102
103
104
105
106
107
108
CDP 2013.
CDP 2013.
UNFCCC 2012.
Hale 2014.
UNFCCC 2011.
Hale, Held and Young 2013.
The proposal was forcefully rejected
on the grounds that it risked further
weakening the United Nations
Economic and Social Council, the
United Nations Conference on Trade
and Development and the United
Nations General Assembly. In
response to the Global Leaders Forum
proposal and a package of other
recommendations, the developing
countries suggested that rather than
limiting the UN system to a secondary
role and niche issues, the UN system
should assert its leadership over the
World Bank and the International
Monetary Fund, which were consid-
ered to be dominated by developed
countries (Müller 2010).
109
Ocampo and Stiglitz 2011.
110
See Chaterjee (2009), Weiss (2011),
111
112
113
114
115
Abebe and others (2012) and UN
(2013e).
UNDP 2013a.
Such a council would be similar to the
Global Economic Coordination Council
recommended in Stiglitz and others
(2009).
UN 2012b, 2013d.
Kaul 2013.
Evans and Heller forthcoming.
116
117
118
119
120
121
122
123
124
125
126
Bandura 2000.
Evans and Heller forthcoming.
Reinalda 2013.
UN 1989.
UN 1995.
UN 2006.
UN 2014a.
Sassen 2006.
Sassen 2006.
Tarrow 2013.
ITU 2013.
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References
Abdel-Latif, A. 2012.
“Intellectual Property Rights and
Green Technologies from Rio to Rio: An Impossible
Dialogue?” Policy Brief 14. International Centre for Trade
and Sustainable Development, Geneva.
Abebe, H., R. Dugan, M. McShane, J. Mellin, T. Patel,
and L. Patentas. 2012.
“The United Nations’ Role in
Global Economic Governance: A Research and Policy
Brief for the Use of the NGO Committee on Financing
for Development.” www.ngosonffd.org/wp-content/
uploads/2010/11/UN-Role-in-Global-Economic-Governance
-2012.pdf. Accessed 27 March 2014.
Abrahams, N., and R. Jewkes. 2005.
“Effects of South
African Men’s Having Witnessed Abuse of Their
Mothers during Childhood on Their Levels of Violence
in Adulthood.”
American Journal of Public Health
95(10): 1811–16. www.ncbi.nlm.nih.gov/pmc/articles/
PMC1449441/. Accessed 20 March 2014.
Abramsky, T., C.H. Watts, C. Garcia-Moreno, K. Devries,
L. Kiss, M. Ellsberg, H.A.F.M. Jansen, and L. Heise.
2011.
“What Factors Are Associated with Recent Intimate
Partner Violence? Findings from the WHO Multi-Country
Study on Women’s Health and Domestic Violence.”
BMC Public Health
11: 109. www.ncbi.nlm.nih.gov/
pmc/articles/PMC3049145/pdf/1471-2458-11-109.pdf.
Accessed 20 March 2014.
Africa Progress Panel. 2013.
Africa Progress Report
2013: Equity in Extractives: Stewarding Africa’s Natural
Resources for All.
Geneva. www.africaprogresspanel.
org/wp-content/uploads/2013/08/2013_APR_Equity_in_
Extractives_25062013_ENG_HR.pdf. Accessed 24 March
2014.
Ahmed, A.U., S. Zohir, S.K. Kumar, and O.H. Chowdury.
1995.
“Bangladesh’s Food for Work Programme and
Alternatives to Food Security.” In J. von Braun, ed.,
Employment for Poverty Reduction and Food Security.
Washington, DC: International Food Policy Research Institute.
Alderman H., and P. Engle. 2008.
“The Synergy of Nutrition
and ECD Interventions in Africa.” In M. Garcia, A. Pence,
and J. Evans, eds.,
Africa’s Future, Africa’s Challenge:
Early Childhood Care and Development in Sub-Saharan
Africa.
Washington, DC: World Bank.
Alesina, A., S. Ozler, N. Roubini, and P. Swagel. 1996.
“Political Instability and Economic Growth.”
Journal of
Economic Growth
1(2): 189−211.
Alliance Development Works. 2012.
World Risk Report
2012.
Berlin.
Ames, P., V. Rojas, and T. Portugal. 2009.
“Starting
School: Who is Prepared? Young Lives’ Research on
Children’s Transition to First Grade in Peru.” Young Lives
Working Paper 47. University of Oxford, Department of
International Development, Oxford, UK. www.younglives.
org.uk/files/working-papers/wp47-starting-school-who
-is-prepared-young-lives2019-research-on-children2019s
-transition-to-first-grade-in-peru. Accessed 21 March 2014.
Amsden, A.H. 2001.
The Rise of the ‘Rest’: Challenges to
the West from Late Industrializing Economies.
Oxford, UK:
Oxford University Press.
Anand, S., and A. Sen. 2000.
“Human Development and
Economic Sustainability.”
World Development
28(12):
2029–49. www2.econ.iastate.edu/classes/tsc220/hallam/
Readings/AnandSenHumanDevelopmentEconomic
Sustainability.pdf. Accessed 17 March 2014.
Anda R.F., V.J. Felitti, J. Walker, C.L. Whitfield, J.D.
Bremner, B.D. Perry, S.R. Dube, and W.H. Giles. 2006.
“The Enduring Effects of Abuse and Related Adverse
Experiences in Childhood: A Convergence of Evidence from
Neurobiology and Epidemiology.”
European Archives of
Psychiatry and Clinical Neuroscience
56(3): 174–86.
Ardila, A., M. Rosselli, E. Matute, and S. Guajardo.
2005.
“The Influence of the Parents’ Educational Level on
the Development of Executive Functions.”
Developmental
Neuropsychology
28(1): 539–60. http://psy2.fau.edu/
~rosselli/NeuroLab/pdfs/parents_effect_on_executive_
function.pdf. Accessed 19 March 2014.
Armecin, G., J.R. Behrman, P. Duazo, S. Ghuman, S.
Gultiano, E.M. King, and N. Lee. 2006.
“Early Childhood
Development through an Integrated Program: Evidence
from the Philippines.” Policy Research Working Paper
3922. World Bank, Washington, DC.
Arriagada, I. 1994.
“Changes in the Urban Female Labour
Market.”
CEPAL Review
53: 92–110.
Assaad, R., and D. Levison. 2013.
“Employment for
Youth—A Growing Challenge for the Global Economy.”
Background paper for the High Level Panel on the Post-
2015 UN MDG Development Agenda. www.post2015hlp.
org/wp-content/uploads/2013/06/Assaad-Levison-Global
-Youth-Employment-Challenge-Edited-June-5.pdf.
Accessed 21 March 2014.
Assimaidou K., Y. Kiendrebeogo, and A. Tall. 2013.
“Social Protection for Poverty Reduction in Times of
Crisis.” Etudes et Documents 11. Centre d’Études et de
Recherches sur le Développement International, Clermont-
Ferrand, France. http://cerdi.org/uploads/ed/2013/
2013.11.pdf. Accessed 15 May 2014.
Atkinson, A. 2013.
“Ensuring Social Inclusion in Changing
Labour and Capital Markets.” European Economy—
Economic Papers 481. European Commission, Directorate
General Economic and Monetary Affairs, Brussels.
Bahçe, S.A.K., and E. Memi . 2013.
“Estimating the
Impact of the 2008–09 Economic Crisis on Work Time
in Turkey.”
Feminist Economics
19(3): 181–207. http://
dx.doi.org/10.1080/13545701.2013.786182. Accessed
25 March 2014.
Baird, S., J. Friedman, and N. Schady. 2007.
“Aggregate
Income Shocks and Infant Mortality in the Developing
World.” Policy Research Working Paper 4346. World
Bank, Washington, DC. http://elibrary.worldbank.org/doi/
pdf/10.1596/1813-9450-4346. Accessed 28 March 2014.
Baldwin, P. 1990.
The Politics of Social Solidarity: Class
Bases of the European Welfare State, 1875–1975.
Cambridge, UK: Cambridge University Press.
Bandura, A. 2000.
“Exercise of Human Agency through
Collective Efficacy.”
Current Directions in Psychological
Science
9(3): 75–78.
Bangladesh Accord Foundation. 2013.
“Accord on Fire and
Building Safety in Bangladesh.” http://bangladeshaccord.
org/wp-content/uploads/2013/10/the_accord.pdf.
Accessed 16 November 2013.
Bank for International Settlements. 2013.
“Triennial
Central Bank Survey: Foreign Exchange Turnover in
April 2013: Preliminary Global Results.” Monetary and
Economic Department, Basel, Switzerland. www.bis.org/
publ/rpfx13fx.pdf. Accessed 20 January 2014.
Bardasi, E., and S.P. Jenkins. 2002.
Income in Later Life:
Work History Matters.
Bristol, UK: The Policy Press.
www.jrf.org.uk/sites/files/jrf/jr111-income-later-life.pdf.
Accessed 25 March 2014.
Bargain, O., and P. Kwenda. 2009.
“The Informal Sector
Wage Gap: New Evidence Using Quantile Estimations
on Panel Data.” Discussion Paper 4286. Institute
for the Study of Labour, Bonn, Germany. http://d-nb.
info/996172467/34. Accessed 25 March 2014.
Barrientos, A. 2006.
“Ageing, Poverty and Public Policy
in Developing Countries: New Survey Evidence.” In
P.A. Kemp, K. Van den Bosch, and L. Smith, eds.,
Social
Protection in an Ageing World.
International Studies on
Social Security Vol. 13. Oxford, UK: Intersentia.
Barrientos, S.W. 2013.
“‘Labour Chains’: Analysing
the Role of Labour Contractors in Global Production
Networks.”
Journal of Development Studies
49(8):
1058–71.
Basu, K., and P.H. Van. 1998.
“The Economics of Child
Labor.”
American Economic Review
88(3): 412–27. http://
qed.econ.queensu.ca/pub/faculty/sumon/basu_childlabor.
pdf. Accessed 20 March 2014.
Beales, S. 2012.
“Empowerment and Older People:
Enhancing Capabilities in an Ageing World.” Paper
prepared for the Expert Group Meeting on promoting
people’s empowerment in achieving poverty eradication,
social integration and productive and decent work for all,
10–12 September, New York. www.un.org/esa/socdev/
egms/docs/2012/SylviaBeales.pdf. Accessed 26 March
2014.
Beegle, K., D. Filmer, A. Stokes, and L. Tiererova. 2009.
“Orphanhood and the Living Arrangements of Children
in Sub-Saharan Africa.” Policy Research Working Paper
4889. Washington, DC: World Bank. www-wds.worldbank.
org/servlet/WDSContentServer/WDSP/IB/2009/07/24/
000112742_20090724110307/Rendered/PDF/WPS4889.
pdf. Accessed 26 March 2014.
Bénabou, R. 2000.
“Unequal Societies: Income Distribution
and the Social Contract.”
American Economic Review
90(1): 96–129.
Bénabou, R., and J. Tirole. 2011.
Laws and Norms.
NBER
Working Paper 17579. Cambridge, MA: National Bureau of
Economic Research.
Béné, C., R.G. Wood, A. Newsham, and M. Davies.
2012.
“Resilience: New Utopia or New Tyranny?
Reflection about the Potentials and Limits of the
Concept of Resilience in Relation to Vulnerability
Reduction Programmes.” Working Paper 405. Institute of
Development Studies, Brighton, UK.
Berg, A., and J. Ostry. 2011a.
“Equality and Efficiency.”
Finance & Development
48(3): 12–15.
———. 2011b.
“Inequality and Unsustainable Growth: Two
Sides of the Same Coin?” Staff Discussion Note 11/08.
International Monetary Fund, Washington, DC.
Deepening progress: global goods and collective action | 139
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
Berg, J. 2009.
“Brazil: The Minimum Wage as a Response to
the Crisis.” ILO Notes on the Crisis. International Labour
Organization, Geneva.
Berik, G., and E. Kongar. 2013.
“Time Allocation of Married
Mothers and Fathers in Hard Times: The 2007–09 U.S.
Recession.”
Feminist Economics
19(3): 208–37. http://
dx.doi.org/10.1080/13545701.2013.798425. Accessed 25
March 2014.
Berliner, L., and D.M. Elliott. 1996.
“Sexual Abuse
of Children.” In J. Briere, L. Berliner, J.A. Bulkley, C.
Jenny, and T. Reid, eds.,
The APSAC Handbook on Child
Maltreatment.
Thousand Oaks, CA: Sage Publications.
Bettin, G., A.F. Presbitero, and N. Spatafora. 2014.
“Remittances and Vulnerability in Developing Countries.”
Working Paper WP/14/13. International Monetary Fund,
Washington, DC. www.imf.org/external/pubs/ft/wp/2014/
wp1413.pdf. Accessed 27 March 2014.
Bhutta, Z.A. 2002.
“Children of War: The Real Casualties of
the Afghan Conflict.”
British Medical Journal
324(7333):
349–52.
Black, R.E., L.H. Allen, Z.A. Bhutta, L.E. Caulfield, M.
de Onis, M. Ezzati, C. Mathers, and J. Rivera. 2008.
“Maternal and Child Undernutrition Study Group. Maternal
and Child Undernutrition: Global and Regional Exposures
and Health Consequences.”
Lancet
371(9608): 243–60.
Bluedorn, M.J.C., R. Duttagupta, J. Guajardo, and P.
Topalova. 2013.
“Capital Flows are Fickle: Anytime,
Anywhere.” Working Paper WP/13/183. International
Monetary Fund, Washington, DC. www.imf.org/external/
pubs/ft/wp/2013/wp13183.pdf. Accessed 24 March 2014.
Bonilla García, A., and J.V. Gruat. 2003.
“Social
Protection: A Life Cycle Continuum Investment for Social
Justice, Poverty Reduction and Sustainable Development.”
International Labour Organization, Social Protection
Section, Geneva. www.ilo.org/public/english/protection/
download/lifecycl/lifecycle.pdf. Accessed 15 May 2014.
Bornstein, M.H., and D. Putnick. 2012.
“Cognitive and
Socioemotional Caregiving in Developing Countries.”
Child
Development
83(1): 46–61.
Bornstein, M.H., C.S. Tamis-Lemonda, C.S. Hahn,
and O.M. Haynes. 2008.
“Maternal Responsiveness
to Young Children at Three Ages: Longitudinal Analysis
of a Multidimensional, Modular, and Specific Parenting
Construct.”
Developmental Psychology
44(3): 867–74.
Bos, K.J., N. Fox, C.H. Zeanah, and C.A. Nelson.
2009.
“Effects of Early Psychosocial Deprivation on
the Development of Memory and Executive Function.”
Frontiers in Behavioral Neuroscience
3: 16.
Boudet, A.M.M., P. Petesch, C. Turk, and A. Thumala.
2012.
On Norms and Agency: Conversations about
Gender Equality with Women and Men in 20 Countries.
Washington, DC: World Bank.
Boyden, J. 2009.
“Risk and Capability in the Context
of Adversity: Children’s Contributions to Household
Livelihoods in Ethiopia.”
Children, Youth and Environments
19(2): 111–137. www.colorado.edu/journals/cye/19_2/
19_2_07_Ethiopia.pdf. Accessed 27 March 2014.
Boyden, J., A. Hardgrove, and C. Knowles. 2012.
“Continuity and Change in Poor Children’s Lives:
Evidence from Young Lives.” In A. Minujin and S.
Nandy, eds.,
Global Child Poverty and Well-being:
Measurement, Concepts, Policy and Action.
Bristol, UK:
Policy Press.
140 | HUMAN DEVELOPMENT REPORT
2014
Brand, J.E., B.R. Levy, and W.T. Gallo. 2008.
“Effects of
Layoffs and Plant Closings on Depression among Older
Workers.”
Research on Aging
30(6): 701–21. www.ncbi.
nlm.nih.gov/pmc/articles/PMC2792935/. Accessed 25
March 2014.
Brooks-Gunn, J., and G.J. Duncan. 1997.
“The Effects of
Poverty on Children.”
The Future of Children
7(2): 55–71.
Bunting, L., and C. McAuley. 2004.
“Research Review:
Teenage Pregnancy and Motherhood: The Contribution of
Support.”
Child and Family Social Work
9(2): 207–15.
Burgard, S.A., J.E. Brand, and J.S. House. 2007.
“Toward
a Better Estimation of the Effect of Job Loss on Health.”
Journal of Health and Social Behavior
48(4): 369–84.
http://sarahburgard.com/pdf/Burgard%20Brand%20and
%20House%202007%20JHSB.pdf. Accessed 25 March
2014.
Burger, R., and R. Jafta. 2010.
“Affirmative Action in South
Africa: An Empirical Assessment of the Impact on Labour
Market Outcomes.” Working Paper 76. Oxford University,
Centre for Research on Inequality, Human Security and
Ethnicity, Oxford, UK.
Burkhauser, R.V., J.S. Butler, and K.C. Holden. 1991.
“How the Death of a Spouse Affects Economic Well-being
after Retirement: A Hazard Model Approach.”
Social
Science Quarterly
72: 504–19.
Burkhauser, R.V., K.C. Holden, and D. Feaster. 1988.
“Incidence, Timing and Events associated with Poverty:
A Dynamic View of Poverty in Retirement.”
Journal of
Gerontology
43(2): S46–S52.
Burns, J., L. Edwards, and K. Pauw. 2010.
“Wage
Subsidies to Combat Unemployment and Poverty:
Assessing South Africa’s Options.” Discussion Paper
00969. International Food Policy Research Institute,
Washington, DC.
Cameron, N., M.A. Preece, and T.J. Cole. 2005.
“Catch-
up Growth or Regression to the Mean? Recovery from
Stunting Revisited.”
American Journal of Human Biology
17(4): 412–17.
Canis, B. 2011.
“The Motor Vehicle Supply Chain: Effects of
the Japanese Earthquake and Tsunami.” Congressional
Research Service, Washington, DC. www.fas.org/sgp/crs/
misc/R41831.pdf. Accessed 19 March 2014.
Cannon, T., and D. Muller-Mahn. 2010.
“Vulnerability,
Resilience and Development Discourses in Context of
Climate Change.”
Natural Hazards
55(3): 621−35.
Carneiro, J. 2013.
“Brazil’s Universities Take Affirmative
Action.” BBC Brasil, 28 August. www.bbc.co.uk/news/
business-23862676. Accessed 15 May 2014.
Carneiro, P., and J. Heckman. 2003.
Human Capital Policy.
NBER Working Paper 9495. Cambridge, MA: National
Bureau of Economic Research. www.nber.org/papers/
w9495.pdf. Accessed 19 March 2014.
Casale, D. 2003.
“The Rise in Female Labour Force
Participation in South Africa: An Analysis of Household
Survey Data, 1995-2001.” Ph.D. dissertation. University of
KwaZulu-Natal, Division of Economics, South Africa.
Cattaneo, O., G. Gereffi, and C. Staritz, eds. 2010.
Global
Value Chains in a Postcrisis World: A Development
Perspective.
Washington, DC: World Bank.
CDP (Carbon Disclosure Project). 2013.
Sector Insights:
What Is Driving Climate Change Action in the World’s
Largest Companies? Global 500 Climate Change Report
2013.
London. https://www.cdp.net/cdpresults/cdp-
global-500-climate-change-report-2013.pdf. Accessed 24
March 2014.
Cerrutti, M. 2000.
“Economic Reform, Structural Adjustment
and Female Labor Force Participation in Buenos Aires,
Argentina.”
World Development
28(5): 879–91.
Chalabi, M., and J. Holder. 2013.
“WHO Report into
Violence against Women: Key Data.”
The Guardian.
Datablog, 20 June. www.theguardian.com/news/datablog/
2013/jun/20/women-violence-worldwide-statistics-who.
Accessed 28 March 2014.
Chambers, R. 1989.
“Editorial Introduction: Vulnerability,
Coping and Policy.”
IDS Bulletin
20(2): 1–7.
———. 2006.
“Vulnerability, Coping and Policy (Editorial
Introduction).”
IDS Bulletin 37(4):
33–40.
Chang, H. 1993.
The Political Economy of Industrial Policy.
New York: Palgrave Macmillan.
Châtaigner J.-M. 2014.
Fragilités et résilience ; les nou-
velles frontières de la mondialisation.
Paris: Karthala.
Chatterjee, A. 2009.
“The UN at Sixty Three: Problems
and Prospects of Reforming a Veteran.”
Journal of
Management and Social Sciences
5(1): 22–29. http://
biztek.edu.pk/downloads/research/jmss_v5_n1/
3%20The%20UN%20at%20Sixty%20three.pdf?origin=
publication_detail. Accessed 27 March 2014.
Chen, S., and M. Ravallion. 2012.
“Absolute Poverty
Measures for the Developing World.” In
Measuring the
Real Size of the World Economy.
Washington, DC: World
Bank.
China National Bureau of Statistics. 2011.
China
Statistical Yearbook 2011.
Beijing.
Cho, Y., and D. Newhouse. 2013.
“How Did the Great
Recession Affect Different Types of Workers? Evidence
from 17 Middle-Income Countries.”
World Development
41: 31–50.
Choudhury, C. 2013.
“India Weathers Cyclone Phailin.”
Bloomberg, 16 October. www.bloomberg.com/news/2013
-10-16/india-weathers-cyclone-phailin.html. Accessed
14 May 2014.
Conceição, P., S. Mukherjee, and S. Nayyar. 2011.
“Impacts of the Economic Crisis on Human Development
and the MDGs in Africa.”
African Development Review
23(4): 439–60.
Cornia, G.A., and F. Stewart. 1993.
“Two Errors of
Targeting.”
Journal of International Development
5: 459–96.
CRED (Centre for Research on the Epidemiology of
Disasters). 2013.
EM-DAT: The International Disaster
Database: Disaster trends. Catholic University of Louvain,
Belgium. www.emdat.be/disaster-trends. Accessed 12
April 2014.
Crouch, C. 2011.
The Strange Non-Death of Neo-Liberalism.
Cambridge, UK: Polity.
Culpeper, R. 2006.
“Reforming the Global Financial
Architecture: The Potential of Regional Institutions.”
In J. A. Ocampo, ed.,
Regional Financial Cooperation.
Washington DC: Brookings Institution Press.
Cutler, D.M., F. Knaul, R. Lozano, O. Mendez, and B.
Zurita. 2002.
“Financial Crisis, Health Outcomes, and
Aging: Mexico in the 1980s and 1990s.”
Journal of Public
Economics
84(2): 279–303.
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
Cutter, S., C. Emrich, J. Webb, and D. Morath. 2009.
“Social Vulnerability to Climate Variability Hazards: A
Review of the Literature.” Final Report to Oxfam America.
University of South Carolina, Department of Geography,
Hazards and Vulnerability Research Institute, Columbia,
SC.
Dalman, C., and S. Bremberg. 1999.
“How Do We Invest
in the Children? Child Welfare Measures in the County
of Stockholm, Measured in SEK.” Centre for Child and
Adolescent Health, Stockholm.
Darity, W., and A. Goldsmith. 1996.
“Social Psychology,
Unemployment and Macroeconomics.”
Journal of
Economic Perspectives
10(1): 121−40.
Date-Bah, E. 2003.
Jobs after War: A Critical Challenge
in the Peace and Reconstruction Puzzle.
Geneva:
International Labour Office.
Davidson, D.J. 2010.
“The Applicability of the Concept
of Resilience to Social Systems: Some Sources of
Optimism and Nagging Doubts.” Society and Natural
Resources 23(12): 1135–49.
Davies, R.B., and K.C. Vadlamannati. 2013.
“A Race
to the Bottom in Labor Standards? An Empirical
Investigation.”
Journal of Development Economics
103:
1–14.
Davies, S.E., and L. Glanville. 2010.
Protecting the
Displaced: Deepening the Responsibility to Protect.
Leiden, the Netherlands: Martinus Nijhoff Publishers.
Deacon, B., and S. Cohen. 2011.
“From the Global Politics
of Poverty Alleviation to the Global Politics of Social
Solidarity.”
Global Social Policy
11(2–3): 233–249.
Devereux, S., and C. Solomon. 2006.
“Employment
Creation Programmes: The International Experience.”
Issues in Employment and Poverty Discussion Paper 24.
International Labour Organization, Geneva.
DFID (UK Department for International Development).
2001.
Making Government Work for Poor People: Building
State Capability.
London. www.gsdrc.org/docs/open/tsp.
pdf. Accessed 28 March 2014.
———. 2010.
“Building Peaceful States and Societies.” A
DFID Practice Paper. London. www.gsdrc.org/docs/open/
CON75.pdf. Accessed 15 May 2014.
Drèze J., and A. Sen. 1989.
Hunger and Public Action.
Oxford, UK: Clarendon Press.
Duflo, E. 2000.
Grandmothers and Granddaughters: Old Age
Pension and Intra-Household Allocation in South Africa.
Working Paper 8061. Cambridge, MA: National Bureau of
Economic Research. www.nber.org/papers/w8061.pdf
?new_window=1. Accessed 26 March 2014.
Dunai, M. 2013.
“Hungarian Roma Queue for Water in
Heatwave after pumps shut down.” Reuters, 9 August.
www.reuters.com/article/2013/08/09/us-hungary-roma
-water-heat-idUSBRE9760ZI20130809. Accessed
28 March 2014.
Duryea, S., and M. Morales. 2011.
“Effects of the Global
Financial Crisis on Children’s School and Employment
Outcomes in El Salvador.”
Development Policy Review
29(5): 527–46.
Dutta, I., J. Foster, and A. Mishra. 2011.
“On Measuring
Vulnerability to Poverty.”
Social Choice and Welfare
37(4):
743−61.
Easterly, W., J. Ritzen, and M. Woolcock. 2006.
“Social
Cohesion, Institutions, and Growth.”
Economics and
Politics
18(2): 103–20. http://ssrn.com/abstract=909632
or http://dx.doi.org/10.1111/j.1468-0343.2006.00165.x.
Accessed 15 May 2014.
EC (European Commission). 2013a.
Eurostat database:
General government deficit/surplus. http://epp.eurostat.
ec.europa.eu/tgm/table.do?tab=table&init=1&language=
en&pcode=tec00127&plugin=1. Accessed 9 December
2013.
———. 2013b.
Eurostat database: General government
gross debt. http://epp.eurostat.ec.europa.eu/tgm/table.do
?tab=table&init=1&language=en&pcode=tsdde410&plugin
=1. Accessed 9 December 2013.
ECLAC (Economic Commission for Latin America and
the Caribbean. 2011.
“El Envejecimiento y las Personas
de Edad. Indicadores para América Latina y el Caribe.”
Santiago de Chile. www.cepal.org/celade/noticias/
documentosdetrabajo/3/39343/Separata_Indicadores_
Envejecimiento.pdf. Accessed 28 March 2014.
The Economist.
2013a.
“Affirmative Action in Brazil:
Slavery’s Legacy.” Americas View blog, 26 April. www.
economist.com/blogs/americasview/2013/04/affirmative
-action-brazil. Accessed 15 May 2014.
———.
2013b.
“Poverty: Not Always with Us.” 1 June.
Eliason, M., and D. Storrie. 2009.
“Does Job Loss Shorten
Life?”
Journal of Human Resources
44(2): 277–382.
Emmerson, C., and A. Muriel. 2008.
“Financial Resources
and Well-being.” In J. Banks, E. Breeze, C. Lessof, and J.
Nazroo, eds.,
Living in the 21st Century: Older People in
England. The 2006 English Longitudinal Study of Ageing
(Wave 3).
London: Institute for Fiscal Studies.
Engel, S. and A.M. Ibanez. 2007.
“Displacement Due
to Violence in Colombia: A Household-Level Analysis.”
Economic Development and Cultural Change
55(2):
335–65.
Engle, P.L., M.M. Black, J.R. Behrman, M. Cabral de
Mello, P.J. Gertler, L. Kapiriri, R. Martorell, and
M.E. Young. 2007.
“Strategies to Avoid the Loss of
Developmental Potential in More than 200 Million Children
in the Developing World.”
Lancet
369(9557): 229–42.
Engle, P.L, L.C. Fernald, H. Alderman, J. Behrman,
C. O’Gara, A. Yousafzai, M. Cabral de Mello, M.
Hidrobo, N. Ulkuer, I. Ertem, S. Iltus, and the Global
Development Steering Group. 2011.
“Strategies for
Reducing Inequalities and Improving Developmental
Outcomes for Young Children in Low-Income and Middle-
Income Countries.”
Lancet
378(9799): 1339–53.
Engle, P.L., N. Rao, and O. Petrovic. 2013.
“Situational
Analysis of Young Children in a Changing World.” In P.
Rebello Britto, P.L. Engle, and C.M. Super, eds.,
Handbook
of Early Childhood Development. Research and Its Impact
on Global Policy.
New York: Oxford University Press.
Equality Now. 2011.
Discrimination against Women in
Law.
New York. www.equalitynow.org/sites/default/files/
WG_Report_EN.pdf. Accessed 28 March 2014.
ESCWA (Economic and Social Commission for Western
Asia). 2007.
The Impact of Armed Conflict on Women.
Beirut.
Esping-Andersen, G. 1999.
Social Foundations of
Postindustrial Economies.
Oxford, UK: Oxford University
Press.
Esping-Andersen, G., and J. Myles. 2008.
“The Welfare
State and Redistribution.” Unpublished manuscript. http://
dcpis.upf.edu/~gosta-esping-andersen/materials/welfare
_state.pdf. Accessed 15 May 2014.
EU (European Union). 2007.
“Treaty of Lisbon.” http://
europa.eu/lisbon_treaty/full_text/index_en.htm.
Accessed 20 March 2014.
European Parliamentary Research Service. 2013.
“Women
in Politics: Background Notes on 12 Countries.” Brussels.
www.europarl.europa.eu/eplibrary/EPRS-Background
-Notes.pdf. Accessed 28 March 2014.
Evans, P., and P. Heller. Forthcoming.
“Human
Development, State Transformation and the Politics of
the Developmental State.” In S. Leibfried, F. Nullmeier,
E. Huber, M. Lange, J. Levy, and J.D. Stephens, eds.,
The
Oxford Handbook of Transformations of the State.
Oxford,
UK: Oxford University Press.
Evans, P., and W.H. Sewell. 2013.
“The Neo-Liberal Era:
Ideology, Policy and Social Effect.” In P.A. Hall and M.
Lamont, eds.,
Social Resilience in the Neoliberal Era.
Cambridge, UK: Cambridge University Press.
Falkingham, J. 2000.
“From Security to Uncertainty: The
Impact of Economic Change on Child Welfare in Central
Asia.” Working Paper 76. United Nations Children’s Fund
Innocenti Research Centre, Florence, Italy. www.unicef-irc.
org/publications/pdf/iwp76.pdf. Accessed 25 March 2014.
Fang, C., D. Yang, and W. Meiyan. 2010.
“Employment
and Inequality Outcomes in China.” Paper presented at the
Organisation for Economic Co-operation and Development
and European Union Joint High-Level Conference, 19 May,
Paris. www.oecd.org/els/emp/42546043.pdf. Accessed
22 May 2014.
FAO (Food and Agriculture Organization of the United
Nations). 2013.
“FAO Food Price Index.” www.fao.org/
worldfoodsituation/foodpricesindex/. Accessed 18
February 2014.
FAO (Food and Agriculture Organization of the United
Nations), IFAD (International Fund for Agricultural
Development) and WFP (World Food Programme).
2013.
The State of Food Insecurity in the World 2013:
The Multiple Dimensions of Food Security.
Rome.
Felitti, V.J., R.F. Anda, D. Nordenberg, D.F. Williamson,
A.M. Spitz, V. Edwards, M.P. Koss, and J.S. Marks.
1998.
“The Relationship of Childhood Abuse and
Household Dysfunction to Many of the Leading Causes
of Death in Adults: The Adverse Childhood Experiences
(ACE) Study.”
American Journal of Preventive Medicine
14(4): 245–58.
Fenner, F., D.A. Henderson, I. Arita, Z. Ježek, and I.D.
Ladnyi. 1988.
Smallpox and its Eradication.
Geneva:
World Health Organization.
Ferri, G., L.G. Liu, and J. Stiglitz. 1999.
“The Procyclical
Role of Rating Agencies: Evidence from the East Asian
Crisis.”
Economic Notes
28(3): 335–55.
Ferris, E., D. Petz, and C. Stark. 2013.
“The Year of
Recurring Disasters: A Review of Natural Disasters in
2012.” Brookings Institution–London School of Economics,
Project on Internal Displacement, Washington, DC. www.
brookings.edu/research/reports/2013/03/natural-disaster
-review-ferris. Accessed 28 March 2014.
Fischer, A.M. 2008.
“Resolving the Theoretical
Ambiguities of Social Exclusion with Reference to
Polarisation and Conflict.” DESTIN Working Paper 08-90.
London School of Economics and Political Science,
Development Studies Institute, London. www.lse.ac.uk/
Deepening progress: global goods and collective action | 141
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
internationalDevelopment/
pdf/WP/WP90.pdf. Accessed 20 March 2014.
———. 2013.
“The Social Value of Employment and the
Redistributive Imperative for Development.” Occasional
Paper. United Nations Development Programme, Human
Development Report Office, New York.
Fitoussi, J.P., and K. Malik. 2013.
“Choices, Capabilities
and Sustainability.” Occasional Paper. United Nations
Development Programme, Human Development Report
Office, New York.
Frankenberg, E., T. Duncan, and K. Beege. 1999.
“The
Real Cost of Indonesia’s Economic Crisis: Preliminary
Findings from the Indonesia Life Surveys.” Labor and
Population Program Working Paper 99-04. RAND, Santa
Monica, CA. www.rand.org/content/dam/rand/pubs/
drafts/2008/DRU2064.pdf. Accessed 20 March 2014.
Fraser, S., G. Leonard, I. Matsuo, and H. Murakami.
2012.
“Tsunami Evacuation: Lessons from the Great East
Japan Earthquake and Tsunami of March 11th 2011.”
GNS Science Report 2012/17. Institute of Geological and
Nuclear Sciences, Lower Hutt, New Zealand.
Frazer, H., and E. Marlier. 2012.
2011 Assessment of
Social Inclusion Policy Developments in the EU: Main
Findings and Suggestions on the Way Forward.
European
Commission, Directorate General of Employment, Social
Affairs and Inclusion, Brussels.
Friedman, J., and N. Schady. 2009.
“How Many More
Infants Are Likely to Die in Africa as a Result of the Global
Financial Crisis?” Policy Research Working Paper 5023.
World Bank, Washington, DC. http://econ.worldbank.org/
external/default/main?pagePK=64165259&theSitePK=
469372&piPK=64165421&menuPK=64166093&entityID=
000158349_20090820140450&cid=decresearch%22.
Accessed 28 March 2014.
Fuentes-Nieva, R., and N. Galasso. 2014.
“Working for
the Few: Political Capture and Economic Inequality.”
Briefing Paper 178. Oxfam, Oxford, UK. www.oxfam.org/
sites/www.oxfam.org/files/bp-working-for-few-political
-capture-economic-inequality-200114-en.pdf. Accessed 17
March 2014.
Funk, A., J.L. Lang, and J. Osterhaus. 2005.
Ending
Violence against Women and Girls: Protecting Human
Rights. Good Practices for Development Cooperation.
Deutsche Gesellschaft für Internationale Zusammenarbeit,
Planning and Development Department Governance and
Democracy, Eschborn, Germany. http://www2.gtz.de/
dokumente/bib/05-1048.pdf. Accessed 26 March 2014.
Furceri, D. 2009.
“Stabilization Effects of Social Spending:
Empirical Evidence from a Panel of OECD Countries
Overcoming the Financial Crisis in the United States.”
OECD Economics Department Working Paper 675.
Organisation for Economic Co-operation and Development,
Paris.
Furceri, D., and P. Loungani. 2013.
“Who Let the Gini
Out?”
Finance & Development
50(4): 25–27.
G20 (Group of Twenty). 2011.
“G20 Coherent Conclusions
for the Management of Capital Flows Drawing on
Country Experiences.” 15 October. www.g20.utoronto.
ca/2011/2011-finance-capital-flows-111015-en.pdf.
Accessed 24 March 2014.
———. 2013.
“Tax Annex to the St. Petersburg G20
Leaders’ Declaration.” http://en.g20russia.ru/news/
20130906/782776427.html. Accessed 20 March 2014.
Gagro, S. 2010.
“The Crime of Rape in the ICTY’s and the
ICTR’s Case-Law.”
Zbornik PFZ
60(3): 1309–34.
Gallagher, K.P., S. Griffith-Jones, and J.A. Ocampo,
eds. 2012.
Regulating Global Capital Flows for Long-Run
Development.
Pardee Center Task Force Report. Boston, MA:
Boston University, Fredrick S. Pardee Center for the Study
of the Longer Range Future. http://stephanygj.net/papers/
RegulatingGlobalCapitalFlowsForLongRunDevelopment2012.
pdf. Accessed 24 March 2014.
Gallopín, G.C. 2006.
“Linkages between Vulnerability,
Resilience, and Adaptive Capacity.”
Global Environmental
Change 16(3):
293–303.
Gallup. 2013.
Gallup World Poll Database. http://worldview.
gallup.com. Accessed 15 October 2013.
Gasper, D., and O. Gomez. 2014.
“Evolution of Thinking
and Research on Human Security and Personal Security
1994–2013.” Human Development Research Paper. United
Nations Development Programme, Human Development
Report Office, New York.
Gassmann, F., and C. Behrendt. 2006.
“Cash Benefits
in Low-income Countries: Simulating the Effects on
Poverty Reduction for Tanzania and Senegal.” Issues
in Social Protection Discussion Paper 15. International
Labour Organization, Social Security Department,
Geneva. www.gsdrc.org/docs/open/SP21.pdf. Accessed
15 May 2014.
Gavrilovic, M., C. Harper, N. Jones, R. Marcus, and P.
Pereznieto. 2009.
“Impact of the Economic Crisis and
Food and Fuel Price Volatility on Children and Women
in Kazakhstan.” Report for UNICEF Kazakhstan Office.
Overseas Development Institute, London.
Ghanem, H. 2011.
“How to Stop the Rise in Food
Price Volatility.” 13 January. Carnegie Endowment
for International Peace, Washington, DC. http://
carnegieendowment.org/2011/01/13/how-to-stop-rise-in
-food-price-volatility/3bs. Accessed 24 March 2014.
Global Footprint Network. 2014.
National Footprint
Accounts, 2014 Edition.
Oakland, CA.
Grabel, I. 2012.
“Financial Architectures and Development:
Resilience, Policy Space, and Human Development in
the Global South.” Working Paper 281. University of
Massachusetts Amherst, Political Economy Research
Institute, Amherst, MA. www.peri.umass.edu/fileadmin/
pdf/working_papers/working_papers_251-300/WP281.
pdf. Accessed 24 March 2014.
Gupta, N.D., and M. Larssen. 2010.
“Evaluating Labour
Market Effects of Wage Subsidies for the Disabled—The
Danish Flexjob Scheme.” Working Paper 07:2010. Danish
National Centre for Social Research, Copenhagen. http://
pisa2012.dk/Files/Filer/SFI/Pdf/Working_papers/wp-07
-2010.pdf. Accessed 15 May 2014.
Gupta, S., and I.S. Leung. 2011.
“Turning Good Practices
into Institutional Mechanisms: Investing in Grassroots
Women’s Leadership to Scale Up Local Implementation
of the Hyogo Framework for Action.” An In-depth Study
for the HFA Mid-Term Review. Huairou Commission
and GROOTS International, New York. www.unisdr.org/
files/18197_201guptaandleung.theroleofwomenasaf.pdf.
Accessed 28 March 2014.
Ha, B., C. McInerney, S. Tobin, and R. Torres. 2010.
“Youth Employment in Crisis.” Discussion Paper
DP/201/2010. International Institute for Labour Studies,
Geneva. www.ilo.org/wcmsp5/groups/public/---dgreports/
---inst/documents/publication/wcms_192840.pdf.
Accessed 21 March 2014.
Hackman, D.A., M.J. Farah, and M.J. Meaney. 2010.
“Socioeconomic Status and the Brain: Mechanistic
Insights from Human and Animal Research.”
Nature
Reviews Neuroscience
11(9): 651–59.
Hale, T. 2014.
“Improving Global Collective Action in a
Connected World.” Human Development Research
Paper. United Nations Development Programme, Human
Development Report Office, New York.
Hale, T., D. Held, and K. Young. 2013.
Gridlock: Why
Global Cooperation Is Failing When We Need It Most.
Cambridge, UK: Polity.
Hall, P.A., and M. Lamont. 2013.
Social Resilience in the
Neoliberal Era.
Cambridge, UK: Cambridge University Press.
Hallegatte, S., F. Henriet, A. Patwardhan, K. Narayanan,
S. Ghosh, S. Karmakar, U. Patnaik, A. Abhayankar,
S. Pohit, J. Corfee-Morlot, C. Herweijer, N. Ranger,
S. Bhattacharya, M. Bachu, S. Priya, K. Dhore, F.
Rafique, P. Mathur, and N. Naville. 2010.
“Flood
Risks, Climate Change Impacts and Adaptation Benefits
in Mumbai: An Initial Assessment of Socio-Economic
Consequences of Present and Climate Change Induced
Flood Risks and of Possible Adaptation Options.”
Environment Working Paper 27. Organisation for Economic
Co-operation and Development, Paris. http://dx.doi.
org/10.1787/5km4hv6wb434-en. Accessed 27 March 2014.
Hamdani, K. 2014.
“Trans-border Vulnerabilities”
Human Development Research Paper. United Nations
Development Programme, Human Development Report
Office, New York.
Haque, U., M. Hashizume, K.N. Kolivras, H.J.
Overgaard, B. Das, and T. Yamamoto. 2012.
“Reduced
Death Rates from Cyclones in Bangladesh: What More
Needs to Be Done?”
Bulletin of the World Health
Organization
90: 150–56.
Hardgrove, A. 2012.
“Life after Guns: The Life Chances and
Trajectories of Ex-combatant and Other Post-war Youth
in Monrovia, Liberia.” DPhil thesis. University of Oxford,
Department of International Development, Oxford, UK.
Hardgrove, A., K. Pells, P. Dornan, and J. Boyden. 2014.
“Life Course Vulnerabilities for Youth: The Trouble in
Transitions.” Human Development Research Paper. United
Nations Development Programme, Human Development
Report Office, New York.
Hart, B., and T.R. Risley. 1995.
Meaningful Differences
in the Everyday Experience of Young American Children.
Baltimore, MD: Paul H. Brookes Publishing.
Harvard Law and Policy Review. 2013.
“India’s
Parliament Passes New Law on Sexual Offenses.” 2 April.
http://www3.law.harvard.edu/journals/hlpr/2013/04/
indias-parliament-passes-new-law-on-sexual-offenses/
#more-16. Accessed 27 March 2014.
Haughton, J., and S.H. Khandker. 2012.
“The Surprising
Effects of the Great Recession: Losers and Winners
in Thailand in 2008-2009.” Policy Research Working
Paper 6255. World Bank, Washington, DC. http://
elibrary.worldbank.org/doi/pdf/10.1596/1813-9450-6255.
Accessed 15 May 2014.
Hausmann, R. 2013.
“The Logic of the Informal Economy.”
Project Syndicate, 19 June. www.project-syndicate.org/
commentary/the-logic-of-the-informal-economy-by
-ricardo-hausmann. Accessed 15 May 2014.
142 | HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
Heath, R. 2012.
“Women’s Access to Labour Market
Opportunities, Control of Household Resources, and
Domestic Violence.” Policy Research Working Paper 6149.
World Bank, Washington, DC. http://econ.worldbank.org/
external/default/main?pagePK=64165259&theSitePK=
469372&piPK=64165421&menuPK=64166093&entityID=
000158349_20120726090130. Accessed 25 March 2014.
Heckman, J. 2005.
“Skill Formation and the Economics of
Investing in Disadvantaged Children.”
Science
312(5782):
1900–02.
———. 2013.
“The Economics of Inequality and Human
Development.” Keynote presentation at the First National
Congress meeting on building a legal framework for public
policies for early childhood, 16 April, Brasilia.
Heintz, J. 2012.
“Informality, Inclusiveness, and Economic
Growth: An Overview of Key Issues.” Supporting Inclusive
Growth Working Paper 2012/2. International Development
Research Centre, Ottawa. www.idrc.ca/EN/Documents/
SIG-WP2-Informality.pdf. Accessed 25 March 2014.
Heise, L.H. 1998.
“Violence against Women: An Integrated,
Ecological Framework.”
Violence against Women
(4)3:
262–90.
Held, D., and K. Young. 2011.
“Crises in Parallel Worlds:
The Governance of Global Risks in Finance, Security and
the Environment.” In C.J. Calhoun and G.M. Derluguian,
eds.,
The Deepening Crisis: Governance Challenges After
Neoliberalism.
Vol. 2. New York: New York University
Press.
———. 2013.
“Transforming Global Governance? Structural
Deficits and Recent Developments in Security and
Finance.” In J. Stiglitz and M. Kaldor, eds.,
The Quest
for Security: Protection Without Protectionism and the
Challenge of Global Governance.
New York: Columbia
University Press.
Heller, P. 2005.
“Understanding Fiscal Space.” Policy
Discussion Paper PDP/05/4. International Monetary
Fund, Washington, DC. www.imf.org/external/pubs/ft/
pdp/2005/pdp04.pdf. Accessed 21 April 2014.
———. 2014.
“Challenges and Opportunities: Civil Society
in a Globalizing World.” Human Development Research
Paper. United Nations Development Programme, Human
Development Report Office, New York.
HelpAge International. 2013.
Global AgeWatch Index
2013: Insight Report.
London.
Herrera, J., D. Milbin, F. Roubaud, C. Saint-Macary, C.
Torelli, and C. Zanuso. 2014.
Enquête sur les Conditions
de Vie des Ménages Après Séisme ECVMAS-Haïti
2012.
Port au Prince: Institut Haïtien de Statistique et
d’Informatique, and Paris: Développement, institutions et
mondialisation.
Herztman, C., and T. Boyce. 2010.
“How Experience Gets
Under the Skin to Create Gradients in Developmental
Health.”
Annual Review of Public Health
31: 329–47.
Heyer, J., F. Stewart, and R. Thorp. 1999.
“Group
Behaviour and Development.” Research Paper 161. United
Nations University, World Institute for Development
Economics Research, Helsinki. http://wider.unu.edu/
publications/working-papers/previous/en_GB/wp-161/_
files/82530858921501417/default/wp161.pdf. Accessed
15 March 2014.
Hirsch, A. 2012.
“Sahel Food Crisis Has Been Made Worse
by the Widespread Unrest in Africa.”
The Guardian,
29
March.
Hoeffler, A. 2012.
“On the Causes of Civil War.” In M.R.
Garfinkel and S. Skaperdas, eds.,
The Oxford Handbook
of the Economics of Peace and Conflict.
New York: Oxford
University Press.
Hoekman, B., and W. Martin. 2012.
“Reducing Distortions
in International Commodity Markets: An Agenda for
Multilateral Cooperation.” Policy Research Working
Paper 5928. World Bank, Poverty Reduction and Economic
Management Network, International Trade Department,
and Development Research Group, Washington,
DC. www-wds.worldbank.org/external/default/
WDSContentServer/IW3P/IB/2012/01/03/000158349_
20120103113143/Rendered/PDF/WPS5928.pdf. Accessed
24 March 2014.
Hogerzeil, H.V., J. Liberman, V.J. Wirtz, S.P. Kishore, S.
Selvaraj, R. Kiddell-Monroe, and T. von Schoen-
Angerer. 2013.
“Promotion of Access to Essential
Medicines for Non-Communicable Diseases: Practical
Implications of the UN Political Declaration.”
Lancet
381(9867): 680–89.
Holden, K.C., R.V. Burkhauser, and D.A. Myers. 1986.
“Income Transitions at Older Stages of Life: The Dynamics
of Poverty.”
Gerontologist
26(3): 292–97.
Holling, C.S. 1973.
“Resilience and Stability of Ecological
Systems.”
Annual Review of Ecology and Systematics
4:
1−23.
Hollingshead, A. 2010.
“The Implied Tax Revenue Loss from
Trade Mispricing.” Global Financial Integrity, Washington,
DC. www.gfintegrity.org/storage/gfip/documents/reports/
implied%20tax%20revenue%20loss%20report_final.pdf.
Accessed 24 March 2014.
Hoon, H.T. 2011.
“Wage Subsidies in a Program for
Economic Inclusion and Growth.” Singapore Management
University, Research Collection School of Economics,
Singapore. http://ink.library.smu.edu.sg/cgi/viewcontent.
cgi?article=2254&context=soe_research. Accessed 22
April 2014.
Hornborg, A. 2009.
“Zero-Sum World Challenges in
Conceptualizing Environmental Load Displacement
and Ecologically Unequal Exchange in the World-
System.” International Journal of Comparative Sociology
50(3-4): 237–62.
Hughes, K., M.A. Bellis, L. Jones, S. Wood, G. Bates, L.
Eckley, E. McCoy, C. Mikton, T. Shakespeare, and A.
Officer. 2012.
“Prevalence and Risk of Violence against
Adults with Disabilities: A Systematic Review and Meta-
analysis of Observational Studies.”
Lancet
379(9826):
1621–29.
IFAD (International Fund for Agricultural Development).
2013.
“Climate Facts.” www.ifad.org/climate/facts.htm.
Accessed 7 November 2013.
ILO (International Labour Organization). 1952.
“Social
Security (Minimum Standards) Convention.” www.ilo.org/
dyn/normlex/en/f?p=NORMLEXPUB:12100:0::NO:12100:
P12100_ILO_CODE:C102. Accessed 20 March 2014.
———. 2006a.
Changing Patterns in the World of Work
International Labour Conference. 95th Session. Geneva.
http://www.ilo.org/public/english/standards/relm/ilc/
ilc95/pdf/rep-i-c.pdf Accessed 22 May 2014
———. 2006b.
“Social Security for All: Investing
in Global Social and Economic Development: A
Consultation.” Issues in Social Protection Discussion
Paper 16. Geneva.
———. 2008.
“Can Low-income Countries Afford Basic
Social Security?” Global Campaign on Social Security and
Coverage for All Paper 3. Social Security Department,
Geneva.
———. 2009.
“Protecting People, Promoting Jobs: From
Crisis Response to Recovery and Sustainable Growth.”
Communication to G20 Leaders by ILO Director-General,
Pittsburgh Summit, 24–25 September, Pittsburgh, PA.
———. 2010a.
Constitution of the International Labour
Organisation and Selected Texts.
Geneva: International
Labour Office. www.ilo.org/public/english/bureau/leg/
download/constitution.pdf. Accessed 25 March 2014.
———. 2010b.
“Pioneering a System of Migration
Management in Asia: The Republic of Korea’s Employment
Permit System Approach to Decent Work.” Geneva. www.
ilo.org/wcmsp5/groups/public/---asia/---ro-bangkok/
documents/publication/wcms_145630.pdf. Accessed
20 March 2014.
———. 2010c.
World Social Security Report 2010/11.
Geneva: International Labour Office. www.ilo.org/
wcmsp5/groups/public/---dgreports/---dcomm/---publ/
documents/publication/wcms_146566.pdf. Accessed 20
March 2014.
———. 2011a.
“Conclusions Concerning the Recurrent
Discussion on Social Protection (Social Security).”
Adopted at the 100th Session of the International Labour
Conference, Geneva.
———. 2011b.
Social Protection Floor for a Fair and
Inclusive Globalization.
Report of the Advisory Group
chaired by Michelle Bachelet convened by the ILO with the
collaboration of the WHO. Geneva: International Labour
Office.
———. 2012a.
Global Employment Trends for Youth 2012.
Geneva: International Labour Office. www.ilo.org/w-msp5/
groups/public/---dgreports/---dcomm/documents/
publication/wcms_180976.pdf. Accessed 21 March 2014.
———. 2012b.
“Statistical Update on Employment in
the Informal Economy.” International Labour Office,
Geneva. http://laborsta.ilo.org/applv8/data/INFORMAL_
ECONOMY/2012-06-Statistical%20update%20-%20v2.
pdf. Accessed 15 May 2014.
———. 2012c.
World of Work Report 2012.
Geneva:
International Labour Office. www.ilo.org/wcmsp5/groups/
public/@dgreports/@dcomm/@publ/documents/
publication/wcms_179453.pdf. Accessed 25 March 2014.
———. 2013a.
Global Employment Trends 2013: Recovering
from a Second Jobs Dip.
Geneva: International Labour
Office. www.ilo.org/wcmsp5/groups/public/---dgreports/
---dcomm/---publ/documents/publication/wcms_202326.
pdf. Accessed 21 March 2014.
———. 2013b.
Global Employment Trends for Youth 2013:
A Generation at Risk.
Geneva: International Labour Office.
www.ilo.org/wcmsp5/groups/public/---dgreports/
---dcomm/documents/publication/wcms_212423.pdf.
Accessed 21 March 2014.
———. 2013c.
Global Wage Report 2012/2013: Wages
and Equitable Growth.
Geneva: International Labour
Office.
———. 2013d.
Key Indicators of the Labour Market.
8th ed.
Geneva: International Labour Office.
———. 2013e.
World of Work Report 2013: Repairing the
Economic and Social Fabric.
Geneva: International Labour
Office. www.ilo.org/wcmsp5/groups/public/---dgreports/
Deepening progress: global goods and collective action | 143
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
---dcomm/documents/publication/wcms_214476.pdf.
Accessed 24 March 2014.
———. 2014.
Global Employment Trends 2014: The Risk of
a Jobless Recovery.
www.ilo.org/wcmsp5/groups/public/
---dgreports/---dcomm/---publ/documents/publication/
wcms_233953.pdf. Accessed 21 April 2014.
———. n.d.
“Informal Economy.” www.ilo.int/global/
topics/employment-promotion/informal-economy/.
Accessed 14 May 2014.
ILO (International Labour Organization) and UNDP
(United Nations Development Programme). 2011.
“Inclusive and Resilient Development: The Role of Social
Protection.” Paper prepared for the G20 Development
Working Group. Geneva.
IMF (International Monetary Fund). 2012.
“The
Liberalization and Management of Capital Flows: An
Institutional View.” Washington, DC. www.imf.org/
external/np/pp/eng/2012/111412.pdf. Accessed 24 March
2014.
———. 2014.
World Economic Outlook: April 2014.
Washington, DC.
Internal Displacement Monitoring Centre. 2013.
Global
Overview 2012: People Internally Displaced by Conflict and
Violence.
Geneva. www.internal-displacement.org/
publications/2013/global-overview-2012-people-internally
-displaced-by-conflict-and-violence. Accessed 20 March
2014.
International Dialogue on Peacebuilding and
Statebuilding. 2011.
A New Deal for Engagement in
Fragile States.
www.newdeal4peace.org/wp-content/
uploads/2013/01/new-deal-for-engagement-in-fragile
-states-en.pdf. Accessed 20 March 2014.
International Policy Centre for Inclusive Growth. 2009.
“What Explains the Decline in Brazil’s Inequality?” One
Pager 89. Brasilia.
IPCC (Intergovernmental Panel on Climate Change).
2007.
Climate Change 2007: Impacts, Adaptation and
Vulnerability.
Contribution of Working Group II to the
Fourth Assessment Report of the Intergovernmental Panel
on Climate Change. Cambridge, UK: Cambridge University
Press.
———. 2012.
Managing the Risks of Extreme Events
and Disasters to Advance Climate Change Adaptation:
Special Report of the Intergovernmental Panel on
Climate Change.
Cambridge, UK: Cambridge University
Press.
———. 2013.
Climate Change 2013: The Physical
Science Basis.
Working Group I Contribution to the Fifth
Assessment Report of the Intergovernmental Panel on
Climate Change. Cambridge, UK: Cambridge University
Press. https://www.ipcc.ch/report/ar5/wg1/. Accessed
20 March 2014.
———. 2014.
Climate Change 2014: Impacts, Adaptation,
and Vulnerability.
Working Group II Contribution to the
Fifth Assessment Report. Cambridge, UK: Cambridge
University Press.
IPU (Inter-Parliamentary Union). 2013.
Women in
Parliament in 2013.
Geneva.
Ismi, Asad. 2013.
“Maoist Insurgency Spreads to Over 40%
of India. Mass Poverty and Delhi’s Embrace of Corporate
Neoliberalism Fuels Social Uprising.” 20 December. Center
for Research on Globalization, Montreal, Canada. www.
globalresearch.ca/maoist-insurgency-spreads-to-over
144 | HUMAN DEVELOPMENT REPORT
2014
-40-of-india-mass-poverty-and-delhis-embrace-of
-corporate-neoliberalism-fuels-social-uprising/5362276.
Accessed 14 May 2014.
ITU (International Telecommunication Union). 2013.
“The World in 2013: ICT Facts and Figures.” Geneva.
www.itu.int/en/ITU-D/Statistics/Documents/facts/
ICTFactsFigures2013-e.pdf. Accessed 24 March 2014.
Jansen, M., and E. von Uexkuell. 2010.
Trade and
Employment in the Global Crisis.
Geneva: International
Labour Office. www.ilo.org/wcmsp5/groups/public/
@dgreports/@dcomm/@publ/documents/publication/
wcms_141911.pdf. Accessed 24 March 2014.
Jäntti, M., and B. Bradbury. 2001.
“Child Poverty across
Industrialized Countries.”
Journal of Population and Social
Security
1(Supplement): 385–410.
Jolly, R., G.A. Cornia, D. Elson, C. Fortin, S. Griffith-
Jones, G. Helleiner, R. van der Hoeven, R. Kaplinsky,
R. Morgan, I. Ortiz, R. Pearson and F. Stewart. 2012.
“Be Outraged: There are Alternatives.” Sussex, UK:
Richard Jolly. http://policy-practice.oxfam.org.uk/
publications/be-outraged-there-are-alternatives-224184.
Accessed 16 May 2014.
Kabeer, N. 2014.
“Vulnerability, Capability and Citizenship:
Addressing Violence against Women and Girls.”
Human Development Research Paper. United Nations
Development Programme, Human Development Report
Office, New York.
Kabeer, N., K. Huda, S. Kaur, and N. Lamhauge. 2012.
“Productive Safety Nets for Women in Extreme Poverty:
Lessons from Pilot Projects in India and Pakistan.”
Discussion Paper 28/12. University of London, School of
Oriental and African Studies, Centre for Development Policy
and Research, London. www.soas.ac.uk/cdpr/publications/
papers/file76193.pdf. Accessed 28 March 2014.
Kabeer, N., K. Mumtaz, and A. Sayeed. 2010.
“Beyond
Risk Management: Vulnerability, Social Protection
and Citizenship in Pakistan.”
Journal of International
Development
22: 1–19. www.researchcollective.org/
Documents/Beyond_Risk_Management_Vulnerability_
Social_Protection_and_Citizenship_in_Pakistan.PDF.
Accessed 28 March 2014.
Kanbur, R. 2007.
“Poverty and Conflict: The Inequality
Link.” Coping with Crisis Working Paper Series.
International Peace Institute, New York. www.isn.ethz.ch/
Digital-Library/Publications/Detail/?id=126966. Accessed
21 March 2014.
Kant, E. 1781.
Critique of Pure Reason.
P. Guyer and A. Wood,
trans. and eds, 1997. Cambridge, UK: Cambridge University
Press.
Kaplan, D.S., G. Martinez, and R. Robertson. 2005.
“What Happens to Wages after Displacement?”
Economía
5(2): 197–242.
Karanikolos, M., P. Mladovsky, J. Cylus, S. Thomson, S.
Basu, D. Stuckler, J. Mackenbach, and M. McKee.
2013.
“Financial Crisis, Austerity, and Health in Europe.”
Lancet
381(9874): 1323–31.
Karoly, L.A., S.S. Everingham, J. Hoube, R. Kilburn,
C.P. Rydell, M. Sanders, and P.W. Greenwood. 1997.
“Benefits and Costs of Early-Childhood Interventions: A
Documented Briefing.” RAND Corporation, Santa Monica, CA.
Kaul, I. 2013.
Global Public Goods: A Concept for Framing
the Post-2015 Agenda?
Bonn, Germany: Deutsche Institut
für Entwicklungspolitik.
———. 2014.
“Fostering Sustainable Human Development:
Managing the Macro-Risks of Vulnerability.” Human
Development Research Paper. United Nations
Development Programme, Human Development Report
Office, New York.
Kaul, I., and P. Conceição, eds. 2006.
The New Public
Finance: Responding to Global Challenges.
Oxford, UK:
Oxford University Press.
Kaul, I., P. Conceição, K. Le Goulven, and R.U.
Mendoza. 2003.
Providing Global Public Goods:
Managing Globalization.
Oxford, UK: Oxford University
Press.
KC, S., W. Lutz, E. Loichinger, R. Muttarak, and
E. Striessnig. 2014.
“Reducing Vulnerability in
Critical Life Course Phases through Empowerment.”
Human Development Research Paper. United Nations
Development Programme, Human Development Report
Office, New York.
Keizer, A.B. 2008.
“Non-regular Employment in Japan.”
Work, Employment, and Society
22(3): 407–25. http://wes.
sagepub.com/content/22/3/407.abstract. Accessed 26
March 2014.
Kelly, S. 2010.
“The Psychological Consequences to
Adolescents for Exposure to Gang Violence in the
Community: An Integrated Review of the Literature.”
Journal of Child and Adolescent Psychiatric Nursing
23(2):
61–73. http://middleschoolgangsandcliques.wikispaces.
com/file/view/The+Psychological+Consequences+to+
Adolescents+of+Exposure+to+Gang+Violence+in+the+
Community-+An+Integrated+Review+of+the+Literaturejcap
_225.pdf. Accessed 21 March 2014.
Kelly, T., W. Yang, C.S. Chen, K. Reynolds, and J. He.
2008.
“Global Burden of Obesity in 2005 and Projections to
2030.”
International Journal of Obesity
32(9): 1431–37.
Kennedy, D., and J. Stiglitz, eds. 2013.
Law and
Economics with Chinese Characteristics: Institutions
for Promoting Development in the Twenty-First Century.
Oxford, UK: Oxford University Press.
Khor, M., and J.A. Ocampo. 2011.
“The Unsettled Global
Trade Architecture.”
Queries
1(4): 68–88.
Kim, N., and P. Conceição. 2010.
“The Economic Crisis,
Violent Conflict, and Human Development.”
International Journal of Peace Studies
15(1): 29–43.
Kinzig, A.P., P.R. Ehrlich, L.J. Alston, K. Arrow, S.
Barrett, T.G. Buchman, G.C. Daily, B. Levin, S. Levin,
M. Oppenheimer, E. Ostrom, and D. Saari. 2013.
“Social Norms and Global Environmental Challenges: The
Complex Interaction of Behaviors, Values, and Policy.”
Bioscience
63(3): 164–75.
Kondkher, B.H., C. Knox-Vydmanov, and A. Vilela. 2013.
“Old Age Social Protection Options for Bangladesh.”
Dhaka University, Bureau of Economic Research, and
HelpAge International. www.pension-watch.net/silo/
files/old-age-sp-options-for-bangladesh.pdf. Accessed
26 March 2014.
Korpi, W., and J. Palme. 1998.
“The Paradox of
Redistribution and Strategies of Equality: Welfare State
Institutions, Inequality, and Poverty in the Western
Countries.”
American Sociological Review
63(5): 661–87.
Kostzer, D. 2008.
“Argentina: A Case study on the Plan Jefes
y Jefas de Hogar Desocupados, or the Employment Road
to Economic Recovery.” Working Paper 534. The Levy
Economics Institute, Annandale-on-Hudson, NY. www.
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
levyinstitute.org/pubs/wp_534.pdf. Accessed 21 April
2014.
Kraemer, K., G. Linden, and J. Dedrick. 2011.
“Capturing
Value in Global Networks: Apple’s iPad and iPhone.”
Working Paper. University of California, Irvine, Paul
Merage School of Business, Personal Computing
Industry Center, Irvine, CA. http://pcic.merage.uci.edu/
papers/2011/value_iPad_iPhone.pdf. Accessed November
2013.
Krug, E.G., L.L. Dahlberg, J.A. Mercy, A.B. Zwi, and
R. Lozano, eds. 2002a.
World Report on Violence and
Health.
Geneva: World Health Organization. http://
whqlibdoc.who.int/publications/2002/9241545615_eng.
pdf?ua=1. Accessed 30 March 2014.
Krug, E.G., J. Mercy, L. Dahlberg, and A. Zwi. 2002b.
“The
World Report on Violence and Health.”
Lancet
360: 1083–88.
Krutikova, S. 2010.
“Who Gets to Stay in School? Long-run
Impact of Income Shocks on Schooling in Rural Tanzania.”
Working Paper 36. University of Oxford, Department of
Economics, Centre for the Study of African Economies,
Oxford, UK. www.economics.ox.ac.uk/Centre-for-the
-Study-of-African-Economies-Series/who-gets-to-stay-in
-school-long-run-impact-of-income-shocks-on-schooling
-in-rural-tanzania. Accessed 26 March 2014.
Kuhn, A., R. Lavile, and J. Zweimuller. 2009.
“The Public
Health Cost of Job Loss.”
Journal of Health Economics
28(6): 1099–1115.
Kumhof, M., and R. Rancière. 2010.
“Leveraging
Inequality.”
Finance & Development
47(4): 28–31.
Kumlin, S., and B. Rothstein. 2005.
“Making and Breaking
Social Capital: The Impact of Welfare-State Institutions.”
Comparative Political Studies
38(4): 339–65.
Kwak, S., and S. Smith. 2011.
“Multidimensional Poverty
and Interlocking Poverty Traps: Framework and Application
to Ethiopian Household Panel Data.” Working Paper
2011-04. George Washington University, Elliott School of
International Affairs, Institute for International Economic
Policy, Washington, DC.
Kynge, J. 2014.
“‘Fragile Five’ Falls Short As Tapering Leaves
More Exposed.”
Financial Times,
15 January. www.ft.com/
intl/cms/s/0/a245c70e-7e0c-11e3-95dd-00144feabdc0.
html#axzz2xBU9hUZg. Accessed 27 March 2014.
La Trobe, S. 2002.
“Climate Change and Poverty.”
Discussion paper. Tearfund, Middlesex, UK.
Lakner, C., and B. Milanovic. 2013.
“Global Income
Distribution: From the Fall of the Berlin Wall to the Great
Recession.” Policy Research Working Paper 6719. World
Bank, Washington, DC.
Lal, R., S. Miller, M. Lieuw-Kie-Song, and D. Kostzer.
2010.
“Public Works and Employment Programmes:
Towards a Long-Term Development Approach.” Working
Paper 66. International Policy Centre for Inclusive Growth,
Brasilia, and United Nations Development Programme,
New York. www.ipc-undp.org/pub/IPCWorkingPaper66.
pdf. Accessed 21 April 2014.
Langer, A., F. Stewart, and R. Venugopal. 2012.
“In
Brief: Have Post-conflict Development Policies Addressed
Horizontal Inequalities?” Centre for Research on
Inequality, Human Security and Ethnicity, Oxford, UK.
http://www.qeh.ox.ac.uk/pdf/pdf-research/crise-ib9.
Accessed 22 May 2014.
Leach, M. 2008.
“Re-Framing Resilience: A Symposium
Report.” Brighton, UK: STEPS Centre.
Liem, R., and R. Rayman. 1982.
“Health and Social Costs
of Unemployment: Research and Policy Considerations.”
American Psychologist
37(10): 1116−23.
Linden, G., K. Kraemer, and J. Dedrick. 2011.
“Innovation
and Job Creation in a Global Economy: The Case of
Apple’s iPod.”
Journal of International Commerce and
Economics
3: 223–39.
Lund, M., and R. Myers. 2007.
“Can Fostering a Culture of
Dialogue Change the Course of a Nation? An Evaluation of
the United Nations Social Cohesion Programme in Guyana.”
United Nations Development Programme, New York.
Lutsey, N., and D. Sperling. 2008.
“America’s Bottom-Up
Climate Change Mitigation Policy.”
Energy Policy
36(2):
673–85.
Lutz, L., and S. KC. 2013.
“Demography and Human
Development: Education and Population Projections.” In
K. Malik and M. Kugler, eds.,
Human Progress and the
Rising South.
New York: United Nations Development
Programme, Human Development Report Office.
Macfarlane, S.N., and Y.F. Khong. 2006.
Human Security
and the UN: A Critical History.
Bloomington, IN: Indiana
University Press.
Machinea, J.L., and D. Titelman. 2007.
“Less Volatile
Growth? The Role of Regional Financial Institutions.”
Cepal Review
91: 7–28.
MacLeod, W.B., and M. Urquiola. 2012.
Anti-lemons:
Reputation and Educational Quality.
NBER Working Paper
15112. Cambridge, MA: National Bureau of Economic
Research.
Maddison, A. 2010.
“Statistics on World Population, GDP
and Per Capita GDP, 1-2008 AD.” Groningen Growth and
Development Centre, the Netherlands. www.ggdc.net/
maddison/oriindex.htm. Accessed 15 March 2014.
Maisonnave, H., B. Decaluwé, and M. Chitiga. 2009.
“Does South African Affirmative Action Policy Reduce
Poverty?” Working Paper 09-36. Centre interuniversitaire
sur le risque, les politiques économiques et l’emploi,
Montreal, Canada.
Mancini, L. 2008.
“Horizontal Inequality and Communal
Violence: Evidence from Indonesian Districts.” In F.
Stewart, ed.,
Horizontal Inequalities and Conflict:
Understanding Group Violence in Multiethnic Societies.
Basingstoke, UK: Palgrave Macmillan.
Marc, A., A. Willman, G. Aslam, M. Rebosio, and K.
Balasuriya. 2013.
Societal Dynamics and Fragility:
Engaging Societies in Responding to Fragile Situations.
Washington, DC: World Bank.
Marshall, K., and O. Butzbach, eds. 2003.
New Social
Policy Agendas for Europe and Asia: Challenges,
Experience, and Lessons.
Washington, DC: World Bank.
http://www-wds.worldbank.org/external/default/
WDSContentServer/WDSP/IB/2003/02/07/000094946_0
3012804015776/Rendered/PDF/multi0page.pdf. Accessed
22 May 2014.
Masset, E., and H. White. 2004.
“Are Chronically Poor
People Being Left out of Progress towards the Millennium
Development Goals? A Quantitative Analysis of Older
People, Disabled People and Orphans.”
Journal of Human
Development
5(2): 279–97.
McCain, M.N., J.F. Mustard, and K. McCuaig. 2011.
Early
Years Study 3: Making Decisions, Taking Action.
Toronto,
Canada: Margaret & Wallace McCain Family Foundation.
www.misatoronto.ca/index.php/learning/exploring/
resources/i_115_eys3_en_2nd_072412.pdf. Accessed
18 March 2014.
McCain, M.N., J.F. Mustard, and D.S. Shanker. 2007.
Early Years Study 2: Putting Science into Action.
Toronto,
Canada: Council of Early Child Development. http://
earlylearning.ubc.ca/media/publications/early_years_
study_2.pdf. Accessed 20 March 2014.
McEwen, B.S. 2008.
“Understanding the Potency of
Stressful Early Life Experiences on Brain and Body
Function.”
Metabolism Clinical and Experimental
57(2):
S11–S15.
McGee, R., and J. Gaventa. 2011.
“Shifting Power?
Assessing the Impact of Transparency and Accountability
Initiatives.” Working Paper 383. Institute of Development
Studies, Brighton, UK. http://r4d.dfid.gov.uk/PDF/Outputs/
Mis_SPC/60827_Wp383McGeeGaventa.pdf. Accessed
24 April 2014.
McKenzie, D.J. 2003.
“How Do Households Cope with
Aggregate Shocks? Evidence from the Mexican Peso
Crisis.”
World Development
31(7): 1179–99.
McLaughlin, D.K., and L. Jensen. 2000.
“Work History and
US Elders’ Transitions into Poverty.”
Gerontologist
40(4):
469–79.
Mearns, R., and A. Norton, eds. 2010.
Social Dimensions
of Climate Change: Equity and Vulnerability in a Warming
World.
Washington, DC: World Bank.
Médecins Sans Frontières. 2013.
Untangling the Web
of Antiretroviral Price Reductions.
Geneva. http://
d2pd3b5abq75bb.cloudfront.net/2013/09/11/10/25/44/896/
MSF_Access_UTW_16th_Edition_2013.pdf. Accessed
20 March 2014.
Mejia-Mantilla, C. 2012.
“Mid-term and Long-term Effects
of the 1998 Asian Crisis in Indonesia.” University of
California–Los Angeles.
Meng, Q., and S. Tang. 2010.
“Universal Coverage of
Health Care in China: Challenges and Opportunities.”
Background Paper 7 for
World Health Report 2010.
World
Health Organization, Geneva.
Milanovic, B. 2012.
“Global Income Inequality by the
Numbers: In History and Now—An Overview.” Policy
Research Working Paper 6259. World Bank, Washington,
DC.
Miller, F., H. Osbahr, E. Boyd, F. Thomalla, S. Bharwani,
G. Ziervogel, B. Walker, J. Birkmann, S. Van der
Leeuw, J. Rockström, J. Hinkel, T. Downing,
C. Folke, and D. Nelson. 2010.
“Resilience and
Vulnerability: Complementary or Conflicting Concepts?”
Ecology and Society
15(3): 11.
Minorities at Risk Project. 2014.
Database. University
of Maryland, Center for International Development and
Conflict Management, College, Park, MD. www.cidcm.
umd.edu/mar/data.asp. Accessed 28 April 2014.
Mkandawire, T. 2001.
“Social Policy in a Development
Context.” Social Policy and Development Programme
Paper 7. United Nations Research Institute for Social
Development, Geneva.
Mok, K., J. Lawler, and S.B. Hinsz. 2009.
“Economic
Shocks in Education: Analysis of the 1997 Asian Financial
Crisis and Lessons for Today.”
Global Social Policy
9(1
suppl): 145–79.
Molina, G., E. Ortiz, A. Reyes, and P. Garcia. 2014.
“Human Development Outliers: Progress That is Resilient
Deepening progress: global goods and collective action | 145
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
to Shocks.” Human Development Research Paper. United
Nations Development Programme, Human Development
Report Office, New York.
Morissette, R., X. Zhang, and M. Frenette. 2007.
“Earnings Losses of Displaced Workers: Canadian
Evidence from a Large Administrative Database on Firm
Closures and Mass Lay-offs.” Analytical Studies Branch
Research Paper. Catalogue no. 11F0019MIE—No.
291. Statistics Canada, Ottawa. www.statcan.gc.ca/
pub/11f0019m/11f0019m2007291-eng.pdf. Accessed
24 March 2014.
Morrone, A., K. Scrivens, C. Smith, and C. Balestra.
2011.
“Measuring Vulnerability and Resilience in
OECD Countries.” Paper prepared for the IARIW-OECD
Conference on Economic Insecurity, 22–23 November,
Paris.
Morrow, V. 2013.
“Troubling Transitions? Young People’s
Experiences of Growing Up in Poverty in Rural Andhra
Pradesh, India.”
Journal of Youth Studies
16(1): 86–100.
Müller, J. 2010.
“UN System Coordination: The Challenge of
Working Together.”
Journal of International Organizations
Studies 1:
29–56.
Munyaneza, J. 2013.
“Rwanda: Women Take 64 Percent
Seats in Parliament.”
The New Times,
19 September.
http://allafrica.com/stories/201309190110.html. Accessed
14 May 2014.
Muqtada, M. 1987.
“Special Employment Schemes in Rural
Bangladesh: Issues and Perspective.”
Philippine Review of
Economics
24(3&4): 323–86.
———. 2010.
“The Crisis of Orthodox Macroeconomic
Policy: The Case for a Renewed Commitment to
Full Employment.” Employment Working Paper 53.
International Labour Organization, Geneva.
Musgrave, R.A. 1959.
Theory of Public Finance: A Study in
Public Economy.
New York: McGraw-Hill.
Mustard, J.F. 2006.
“Early Child Development and
Experience-based Brain Development—The Scientific
Underpinnings of the Importance of Early Child
Development in a Globalized World.” Paper prepared
for the World Bank International Symposium on Early
Child Development—A Priority for Sustained Economic
Growth & Equity, 27–29 September, Washington, DC.
www.brookings.edu/views/papers/200602mustard.pdf.
Accessed 20 March 2014.
Naidoo, V., and M. Kongolo. 2004.
“Has Affirmative Action
Reached South African Women?”
Journal of International
Women’s Studies
6(1): 124–36.
Narayan, A., J. Saavedra-Chanduvi, and S. Tiwari.
2013.
“Shared Prosperity: Links to Growth, Inequality and
Inequality of Opportunity.” Policy Research Working Paper
6649. World Bank, Washington, DC.
Narayan, D., and P. Petesch, eds. 2007.
Moving out
of Poverty: Cross-Disciplinary Perspectives.
New York:
Palgrave Macmillan.
Narayan, D., R. Chambers, M.K. Shah, and P. Petesch.
2000.
Voices of the Poor: Crying Out for Change.
Oxford,
UK: Oxford University Press.
Naudé, W., A.U. Santos-Paulino, and M. McGillivray,
eds. 2011.
Fragile States: Causes, Costs, and Responses.
Oxford, UK: Oxford University Press.
Naudeau, S., S. Martinez, P. Premand, and D. Filmer.
2011.
“Cognitive Development among Young Children in
Low-Income Countries.” In H. Alderman, ed.,
No Small
Matter: The Impact of Poverty, Shocks and Human Capital
Investments in Early Childhood Education.
Washington,
DC: World Bank. http://siteresources.worldbank.org/
EXTAFRREGTOPEDUCATION/Resources/444707
-1291071725351/nosmallmatter.pdf. Accessed 19 March
2014.
Naylor, R., and W. Falcon. 2010.
“Food Security in an Era
of Economic Volatility.”
Population and Development
Review
36(4): 693–723.
Nayyar, D. 2012.
“On Macroeconomics and Human
Development.”
Journal of Human Development and
Capabilities
13(1): 7–30.
Nelson, C.A., N.A. Fox, and C.H. Zeanah. 2014.
Romania’s
Abandoned Children: Deprivation, Brain Development,
and the Struggle for Recovery.
Cambridge, MA: Harvard
University Press.
Nelson, K. 2004.
“Mechanisms of Poverty Alleviation: Anti-
Poverty Effects of Non-Means-Tested and Means-Tested
Benefits in Five Welfare States.”
Journal of European
Social Policy
14(4): 371–90.
Newhouse, D. 2013.
“New Estimates of Youth Idleness and
Employment Outcomes in Developing Countries.” Social
Protection and Labor. World Bank, Washington, DC.
NICHD (National Institute of Child Health and Human
Development) Early Child Care Research Network.
2006.
“Child-Care Effect Sizes for the NICHD Study of
Early Child Care and Youth Development.”
American
Psychologist
61(2): 99–116. www.psy.miami.edu/faculty/
dmessinger/c_c/rsrcs/rdgs/childcare/NICHD_EffectSizes_
AmerPsy.2006.pdf. Accessed 20 March 2014.
NOAA (United States Department of Commerce,
National Oceanic and Atmospheric Administration).
2013.
“Hurricane Sandy Service Assessment.”
Washington, DC. www.nws.noaa.gov/os/assessments/
pdfs/Sandy13.pdf. Accessed 20 March 2014.
Nussbaum, M.C. 2005.
“Women’s Bodies: Violence,
Security, Capabilities.”
Journal of Human Development
6(2): 167−83. https://www.amherst.edu/system/
files/media/1556/Picq-%2520nussbaum-women%2527s
%2520bodies.pdf. Accessed 28 March 2014.
O’Keefe, P., K. Westgate, and B. Wisner. 1976.
“Taking
the Naturalness out of Natural Disasters.”
Nature
260(5552): 566−67.
O’Sullivan, R., K. Mugglestone, and T. Allison.
2014.
“In This Together: The Hidden Cost of Young
Adult Unemployment.” Policy Brief. Young Invincibles,
Washington, DC.
Ocampo, J.A., ed. 2006.
Regional Financial Cooperation.
Washington, DC: Brookings Institution Press.
———. 2010.
“Rethinking Global Economic and Social
Governance.”
Journal of Globalization and Development
1(1): 1–29.
———. 2013.
“Global Economic and Social Governance and
the United Nations System.” Initiative for Policy Dialogue
Working Paper. New York. http://policydialogue.org/files/
publications/Global_Econ_and_UN_Ocampo_withCS.pdf.
Accessed 20 March 2014.
Ocampo, J.A., and S. Griffith-Jones. 2007.
“A
Counter-Cyclical Framework for a Development-Friendly
International Financial Architecture.” Working Paper
39. United Nations Department of Economic and Social
Affairs, New York. www.un.org/esa/desa/papers/2007/
wp39_2007.pdf. Accessed 24 March 2014.
Ocampo, J.A., and J. Stiglitz. 2011.
“From the G-20 to
a Global Economic Coordination Council.”
Journal of
Globalization and Development
2(2): 1–18.
Odagiri, H., A. Goto, A. Sunami, and R.R. Nelson. 2012.
Intellectual Property Rights, Development, and Catch Up:
An International Comparative Study.
Oxford, UK: Oxford
University Press.
ODI (Overseas Development Institute). 2008.
“The Indian
National Rural Employment Guarantee Act: Will It Reduce
Poverty and Boost the Economy?” Project Briefing 7.
London.
OECD (Organisation for Economic Co-operation and
Development). 2010.
“Gender Inequality and the MDGs:
What Are the Missing Dimensions?” Paris. www.oecd.
org/social/poverty/45987065.pdf. Accessed 28 March
2014.
———. 2011a.
“Growing Income Inequality in OECD
Countries: What Drives It and How Can Policy Tackle It?”
OECD Forum on Tackling Inequality, 2 May, Paris. www.
oecd.org/social/soc/47723414.pdf. Accessed 31 March
2014.
———. 2011b.
Pensions at a Glance 2011: Retirement-
Income Systems in OECD and G20 Countries.
Paris. http://
dx.doi.org/10.1787/pension_glance-2011-en. Accessed
26 March 2014.
———. 2011c.
Tax Transparency 2011: Report on Progress.
Paris. www.oecd.org/tax/transparency/48981620.pdf.
Accessed 20 March 2014.
———. 2012.
“Think Global, Act Global: Confronting Global
Factors that Influence Conflict and Fragility.” A Summary
of the Berlin Policy Forum, 15–16 November, Berlin.
———. 2013a.
Action Plan on Base Erosion and Profit
Shifting.
Paris. http://dx.doi.org/10.1787/9789264202719
-en. Accessed 24 March 2014.
———. 2013b.
“Crisis Squeezes Income and Puts Pressure
on Inequality and Poverty: Results from the OECD Income
Distribution Database (May 2013).” Paris. www.oecd.
org/els/soc/OECD2013-Inequality-and-Poverty-8p.pdf.
Accessed 15 May 2014.
———. 2013c.
Education at a Glance 2013: OECD
Indicators.
Paris.
———. 2013d.
Employment Outlook 2013.
Paris.
———. 2013e.
Health at a Glance 2013: OECD Indicators.
Paris.
———. 2013f.
“Unemployment Set to Remain High in
OECD Countries through 2014 – Youth and Low-skilled Hit
Hardest.” www.oecd.org/employment/unemployment-set
-to-remain-high-in-oecd-countries-through-2014youth-and
-low-skilled-hit-hardest.htm. Accessed 14 May 2014.
———. n.d.
Social Expenditure Database. Paris. www.oecd.
org/social/expenditure.htm. Accessed 20 March 2014.
Ogata, S., and A. Sen. 2003.
Human Security Now:
Protecting and Empowering People.
New York:
Commission on Human Security.
Ono, Y., and D. Sullivan. 2013.
“Manufacturing Plants’
Use of Temporary Workers: An Analysis Using Census
Micro Data.”
Industrial Relations: A Journal of Economy
and Society
52(2): 419−43. ftp://tigerline.census.gov/ces/
wp/2008/CES-WP-08-40.pdf. Accessed 24 March 2014.
146 | HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
Onyango, M.A., B.L. Hixson, and S. McNally. 2013.
“Minimum Initial Service Package (MISP) for Reproductive
Health during Emergencies: Time for a New Paradigm.”
Global Public Health
8(3): 342–56.
Ortiz, I., S. Burke, M. Berrada, and H. Cortés. 2013.
“World Protests 2006-2013.” Working Paper. Initiative
for Policy Dialogue and Friedrich-Ebert-Stiftung, New
York. http://policydialogue.org/files/publications/World_
Protests_2006-2013-Complete_and_Final_4282014.pdf.
Accessed 24 March 2014.
Østby, G. 2008a.
“Inequalities, the Political Environment and
Civil Conflict: Evidence from 55 Developing Countries.”
In F. Stewart, ed.,
Horizontal Inequalities and Conflict:
Understanding Group Violence in Multiethnic Societies.
Basingstoke, UK: Palgrave Macmillan.
———. 2008b.
“Polarization, Horizontal Inequalities and
Violent Civil Conflict.”
Journal of Peace Research
45(2):
143−62.
Paardekooper, B., J.T.V.M. De Jong, and J.M.A.
Hermanns. 1999.
“The Psychological Impact of War
and the Refugee Situation on South Sudanese Children
in Refugee Camps in Northern Uganda: An Exploratory
Study.”
Journal of Child Psychology and Psychiatry
40(4):
529–36.
Paci, P., A. Revenga, and B. Rijkers. 2011.
“Coping with
Crises: Policies to Protect Employment and Earnings.” Vox,
19 April. www.voxeu.org/article/coping-crises-policies
-protect-employment-and-earnings. Accessed 15 May
2014.
Palme, J. 2006.
“Welfare States and Inequality: Institutional
Designs and Distributive Outcome.”
Research in Social
Stratification and Mobility
24(4): 387–403.
Pardee Center for International Futures. 2013.
“Development-Oriented Policies and Alternative Human
Development Paths.” In K. Malik and M. Kugler, eds.,
Human Progress and the Rising South.
New York: United
Nations Development Programme.
Park, Y.C. 2006.
“Regional Financial Integration in East
Asia: Challenges and Prospects. Regional Financial
Cooperation.” In J.A. Ocampo, ed.,
Regional Financial
Cooperation.
Washington DC: Brookings Institution Press.
Parliament of India Rajya Sabha. 2013.
One Hundred and
Sixty Seventh Report on the Criminal Law (Amendment)
Bill, 2012.
New Delhi: Rajya Sabha Secretariat. www.
prsindia.org/uploads/media/Criminal%20Law/SCR%20
Criminal%20Law%20Bill.pdf. Accessed 28 March 2014.
Parlow, A. 2012.
“Armed Conflict and Children’s Health –
Exploring New Directions: The Case of Kashmir.” MPRA
Paper 38033. Munich Personal RePEc Archive, Munich,
Germany. http://mpra.ub.uni-muenchen.de/38033/1/
MPRA_paper_38033.pdf. Accessed 28 March 2014.
Paxson, C., and N. Schady. 2007.
“Cognitive Development
among Young Children in Ecuador: The Roles of Wealth,
Health and Parenting.” Policy Research Working
Paper 3605. World Bank, Washington, DC. https://
openknowledge.worldbank.org/handle/10986/8929.
Accessed 19 March 2014.
Pells, K. 2011.
“Poverty and Gender Inequalities: Evidence
from Young Lives.” Young Lives Policy Paper 3. University
of Oxford, Department of International Development,
Oxford, UK.
Pereda, N., G. Guilera, M. Forns, and J. Gómez-
Benito. 2009.
“The Prevalence of Child Sexual Abuse
in Community and Student Samples: A Meta-analysis.”
Clinical Psychology Review
29(4): 328–38.
Pick, S., and J. Sirkin. 2010.
Breaking the Poverty Cycle:
The Human Basis for Sustainable Development.
New York:
Oxford University Press.
Pineda, J. 2013.
“Sustainability and Human Development:
A Proposal for a Sustainability Adjusted Human
Development Index.”
Theoretical and Practical Research in
Economic Fields
3(2): 71–98.
Pineda, J., and F. Rodríguez. 2006a.
“The Political
Economy of Investment in Human Capital.”
Economics of
Governance
7: 167–93.
———. 2006b.
“Public Investment in Infrastructure and
Productivity Growth: Evidence from the Venezuelan
Manufacturing Sector.” Wesleyan Economics Working
Paper 2006-010. Wesleyan University, Middletown, CT.
Pinheiro, P.S. 2006.
World Report on Violence against
Children.
United Nations Secretary-General’s Study on
Violence against Children. New York: United Nations.
www.unicef.org/lac/full_tex(3).pdf. Accessed 21 March
2014.
Plan International. 2012.
State of the World’s Girls 2012:
Learning for Life.
Report prepared for the “Because I Am a
Girl” campaign. Woking, UK. http://plan-international.org/
girls/pdfs/2012-report/The-State-of-the-World-s-Girls
-Learning-for-Life-Plan-International-2012.pdf. Accessed
21 March 2014.
Polanyi, K. 1944. The
Great Transformation: The Political
and Economic Origins of Our Time.
Boston, MA: Beacon
Press.
Polk, W.R. 2013.
Humpty Dumpty: The Fate of Regime
Change.
Stone, UK: Panda Press.
Pollock, R. 2006.
The Value of the Public Domain.
London:
Institute for Public Policy Research. http://rufuspollock.
org/papers/value_of_public_domain.ippr.pdf. Accessed
27 March 2014.
Posel, D., J.A. Fairburn, and F. Lund. 2006.
“Labour
Migration and Households: A Reconsideration of the
Effects of the Social Pension on Labour Supply in South
Africa.”
Economic Modelling
23(5): 836–53.
Raman, A.V., and J.W. Björkman. 2008.
“Public-Private
Partnership in Health Care Services in India.” Health
Administrator 21(1–2):
62–77.
Ratha, D., C. Eigen-Zucchi, S. Plaza, H. Wyss,
and S. Yi. 2013.
“Migration and Remittance
Flows: Recent Trends and Outlook, 2013–2016.”
Migration and Development Brief 21. World Bank,
Washington, DC. http://siteresources.worldbank.org/
INTPROSPECTS/Resources/334934-1288990760745/
MigrationandDevelopmentBrief21.pdf. Accessed 24
March 2014.
Reinalda, B., ed. 2013.
Routledge Handbook of International
Organization.
London: Routledge.
Reinhart, C. 2012.
A Series of Unfortunate Events: Common
Sequencing Patterns in Financial Crises.
Working Paper
17941. Cambridge, MA: National Bureau of Economic
Research.
Rentschler, J.E. 2013.
“Why Resilience Matters: The
Poverty Impacts of Disasters.” Policy Research Working
Paper 6699. World Bank, Washington, DC. http://elibrary.
worldbank.org/doi/pdf/10.1596/1813-9450-6699.
Accessed 26 March 2014.
Revkin, A. 2012.
“Beyond Rio: Pursuing ‘Ecological
Citizenship.’”
New York Times,
25 June.
Ringen, S. 1988.
“Direct and Indirect Measures of Poverty.”
Journal of Social Policy
17(3): 351–65.
Robinson, A., V. Scherrer, and A. Gormally. 2013.
“Disability and Vulnerability: A Primer.” Disability-inclusive
DRR Network for Asia and the Pacific partners. www.
didrrn.net/home/files/3613/8614/3327/DiDRRN_GP_
vulnerability_primer_v.fin.pdf. Accessed 24 March 2014.
Rockström, J., W. Steffen, K. Noone, Å. Persson, F.
Chapin, E. Lambin, T. Lenton, M. Scheffer, C. Folke,
H. Schellnhuber, B. Nykvist, C. De Wit, T. Hughes,
S. van der Leeuw, H. Rodhe, S. Sörlin, P. Snyder, R.
Costanza, U. Svedin, M. Falkenmark, L. Karlberg, R.
Corell, V. Fabry, J. Hansen, B. Walker, D. Liverman,
K. Richardson, P. Crutzen, and J. Foley. 2009.
“Planetary Boundaries: Exploring the Safe Operating
Space for Humanity.”
Ecology and Society
14(2): 32.
Rodrik, D. 2000.
“Participatory Politics, Social Cooperation,
and Economic Stability.”
American Economic Review
90(2):
140–44. http://citeseerx.ist.psu.edu/viewdoc/download
?doi=10.1.1.298.5443&rep=rep1&type=pdf. Accessed
15 May 2014.
Roemer, J.E. 1993.
“A Pragmatic Approach to Responsibility
for the Egalitarian Planner.”
Philosophy and Public Affairs
22(2): 146−66.
Rolleston, C., and Z. James. 2011.
“The Role of Schooling
in Skill Development: Evidence from Young Lives in
Ethiopia, India, Peru and Vietnam.” Paper commissioned
for the
Education for All Global Monitoring Report 2012.
www.younglives.org.uk/files/policy-papers/role-of
-schooling-in-skill-development. Accessed 21 March 2014.
Rothstein, B. 2001.
“Social Capital in the Social Democratic
Welfare State.”
Politics and Society
29(2): 207–41.
Roxburgh, C., and J. Mischke. 2011.
European Growth
and Renewal: The Path from Crisis to Recovery.
McKinsey
Global Institute. www.mckinsey.com/insights/europe/
european_growth_and_renewal_path_to_recovery.
Accessed 22 April 2014.
Sander, R., and S. Taylor Jr. 2012.
Mismatch: How
Affirmative Action Hurts Students It’s Intended to Help,
and Why Universities Won’t Admit It.
New York: Basic
Books.
Sandler, T., M. Arce, and G. Daniel. 2002.
“A Conceptual
Framework for Understanding Global and Transnational
Public Goods for Health.”
Fiscal Studies
23(2): 195–222.
Sassen, S. 2006.
Territory, Authority, Rights: From Medieval
to Global Assemblages.
Vol. 7. Princeton, NJ: Princeton
University Press.
Schmieder, J.F., T.M. von Wachter, and S. Bender. 2009.
“The Effects of Unemployment Insurance on Labour Supply
and Search Outcomes: Regression Discontinuity Estimates
from Germany.” Discussion Paper 0910-08. Columbia
University, Department of Economics, New York. http://
doku.iab.de/discussionpapers/2010/dp0410.pdf. Accessed
24 March 2014.
Schroder-Butterfill, E., and R. Marianti. 2006.
“A
Framework for Understanding Old-age Vulnerabilities.”
Ageing & Society
26(1): 9–35. http://journals.cambridge.
org/action/displayFulltext?type=1&fid=371433&jid=ASO&
volumeId=26&issueId=01&aid=371432&bodyId=&
membershipNumber=&societyETOCSession. Accessed
17 March 2014.
Deepening progress: global goods and collective action | 147
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
Sebastian, H. 2009.
“The Culture of Fear and Control in
Costa Rica: Crime Statistics and Law Enforcement.”
Working Paper 104. German Institute of Global Affairs,
Hamburg, Germany.
Seitz, S. 2013.
“Indigenous Peoples and the Process of
Decentralization: Conflicting Interests Regarding Upland
Resource Management in Palawan Province/Philippines.”
Occasional Paper 13. University of Freiburg, Germany.
https://areastudies.uni-freiburg.de/Content/files/
occasional-paper-series/op13_seitz.pdf/at_download/file.
Accessed 16 May 2014.
Sen, A. 1992.
Inequality Reexamined.
Oxford, UK: Oxford
University Press.
———. 1999.
“Democracy as a Universal Value.”
Journal of
Democracy
10(3): 3–17.
———. 2013.
“The Ends and Means of Sustainability.”
Journal of Human Development and Capabilities
14(1): 6–20.
Sen, A., J. Stiglitz, and J. Fitoussi. 2009.
Report by
the Commission on the Measurement of Economic
Performance and Social Progress.
Paris.
Sen, P. 1998.
“Violence against Women.”
Gender and
Development
6(3): 7−16.
Shonkoff, J.P., and D.A. Phillips. 2000.
From Neurons
to Neighborhoods: The Science of Early Childhood
Development.
Washington DC: National Academy Press.
Shonkoff, J.P., and L. Richter. 2013.
“The Powerful Reach
of Early Childhood Development.” In P. Rebello Britto, P.L.
Engle, and C.M. Super, eds.,
Handbook of Early Childhood
Development. Research and Its Impact on Global Policy.
New York: Oxford University Press.
Shonkoff, J.P., L. Richter, J. van der Gaag, and Z.A.
Bhutta. 2012.
“The Biology of Adversity: Building an
Integrated Science of Child Survival, Early Childhood
Development, and Human Capital Formation.”
Pediatrics
129(2): 1–13.
Sierra Leone, Ministry of Finance and Economic
Development, Development Assistance Coordination
Office. 2013.
Republic of Sierra Leone Fragility Assessment.
Freetown. www.newdeal4peace.org/wp-content/uploads/
2013/05/Fragility-Assessment-SierraLeone-border-180313.
pdf. Accessed 24 March 2014.
Sinclair, A.R.E., and J.M. Fryxell. 1985.
“The Sahel
of Africa: Ecology of a Disaster.”
Canadian Journal of
Zoology
63: 987–94.
Smith, J.P., G. Teruel, T. Duncan, K. Beegle, and E.
Frankenberg. 2002.
“Wages, Employment and Economic
Shocks: Evidence from Indonesia.”
Journal of Population
Economics
15(1): 161−93. http://scholar.google.com/
scholar_url?hl=it&q=http://www.dtic.mil/cgi-bin/
GetTRDoc%3FAD%3DADA385386&sa=X&scisig=
AAGBfm327yyptkliH6W6JPPHV92yhL2HFA&oi=scholarr.
Accessed 24 March 2014.
Sobhan, R. 2014.
“Vulnerability Traps and Their Effects on
Human Development. Human Development Research
Paper. United Nations Development Programme, Human
Development Report Office, New York.
Somavia, J. 2013.
The Meaning of Decent Work.
Geneva:
International Labour Office.
Stephan, G. 2009.
“Employer Wage Subsidies and Wages
in Germany: Some Evidence from Individual Data.”
Discussion Paper 9/2009. Federal Employment Agency,
Institute for Employment Research, Nuremberg, Germany.
Stephens, A.H. 1997.
“Persistent Effects of Job
Displacement: The Importance of Multiple Job Losses.”
Journal of Labour Economics
15(1): 165−88. www.jstor.
org/stable/2535319?seq=1. Accessed 24 March 2014.
Stevens, A.H., and J. Schaller. 2011.
“Short-run Effects of
Parental Job Loss on Children’s Academic Achievement.”
Economics of Education Review
30(2): 289−99.
Stewart, F., ed. 2008.
Horizontal Inequalities and Conflict.
Understanding Group Violence in Multiethnic Societies.
New York: Palgrave Macmillan.
———. 2010.
“Horizontal Inequalities as a Cause of
Conflict: A Review of CRISE Findings.” Background
paper for
World Development Report 2011.
World Bank,
Washington, DC.
———. 2013.
“Capabilities and Human Development:
Beyond the Individual—the Critical Role of Social
Institutions and Social Competencies.” In K. Malik and M.
Kugler, eds.,
Human Progress and the Rising South.
New
York: United Nations Development Programme.
Stewart, F., M. Barrón, G. Brown, and M. Hartwell.
2006.
“Social Exclusion and Conflict: Analysis and Policy
Implications.” Policy Paper. Oxford University, Centre for
Research on Inequality, Human Security and Ethnicity,
Oxford, UK. www.qeh.ox.ac.uk/pdf/pdf-research/crise
-pp1. Accessed 26 March 2014.
Stewart, F., G. Brown, and L. Mancini. 2005.
“Why
Horizontal Inequalities Matter: Some Implications for
Measurement.” Working Paper 19. Oxford University,
Centre for Research on Inequality, Human Security and
Ethnicity, Oxford, UK. http://r4d.dfid.gov.uk/pdf/outputs/
inequality/wp19.pdf. Accessed 26 March 2014.
Stiglitz, J. 2012a.
“Macroeconomic Fluctuations,
Inequality, and Human Development.”
Journal of Human
Development and Capabilities
13(1): 31–58.
———. 2012b.
The Price of Inequality: How Today’s Divided
Society Endangers Our Future.
New York: W. W. Norton
& Company.
———. 2013.
“Social Protection without Protectionism.”
In J. Stiglitz and M. Kaldor, eds.,
The Quest for Security:
Protection Without Protectionism and the Challenge of
Global Governance.
New York: Columbia University Press.
Stiglitz, J., and M. Kaldor, eds. 2013a. The
Quest for
Security: Protection without Protectionism and the
Challenge of Global Governance.
New York: Columbia
University Press.
———. 2013b.
“Introduction.” In J. Stiglitz, and M.
Kaldor, eds.,
The Quest for Security: Protection Without
Protectionism and the Challenge of Global Governance.
New York: Columbia University Press.
Stiglitz, J., A. Bougrov, Y. Boutros-Ghali, J.P. Fitoussi,
C.A. Goodhart, and R. Johnson. 2009.
“Report of the
Commission of Experts of the President of the United
Nations General Assembly on Reforms of the International
Monetary and Financial System.” United Nations
Conference on the World Financial and Economic Crisis
and its Impact on Development, 24–26 June, New York.
www.un.org/ga/president/63/interactive/financialcrisis/
PreliminaryReport210509.pdf. Accessed 24 March 2014.
Stiglitz, J., A. Sen, and J. Fitoussi. 2010.
Mismeasuring
Our Lives: Why GDP Doesn’t Add Up.
New York: New
Press.
Sullivan, D., and T. von Wachter. 2009.
“Job Displacement
and Mortality: An Analysis Using Administrative Data.”
Quarterly Journal of Economics
124(3): 1265−1306. http://
qje.oxfordjournals.org/content/124/3/1265.abstract.
Accessed 24 March 2014.
Sulmasy, G., and J. Yoo. 2007.
“Challenges to Civilian
Control of the Military: A Rational Choice Approach to the
War on Terror.”
UCLA Law Review
54. http://papers.ssrn.
com/sol3/papers.cfm?abstract_id=1030761. Accessed 16
May 2014.
Sundaram, J. 2013.
“A World of Vulnerability.” Project
Syndicate, 13 July. www.project-syndicate.org/commentary/
poverty--vulnerability--and-social-protection-by-jomo-kwame
-sundaram. Accessed 28 April 2014.
Swiderska, K. A. Argumedo, Y. Song, J. Li, R. Pant,
H. Herrera, D. Mutta, P. Munyi, and S. Vedavathy.
2009.
Protecting Community Rights over Traditional
Knowledge: Implications of Customary Laws and
Practices: Key Findings and Recommendations
2005−2009.
London: International Institute for
Environment and Development.
Tarrow, S. 2013.
The Language of Contention: Revolutions in
Words, 1688-2012.
Cambridge, UK: Cambridge University
Press.
Telles, E.E. 2004.
Race in Another America: The Significance
of Skin Color in Brazil.
Princeton, NJ: Princeton University
Press.
Temin, M. 2008.
“Expanding Social Protection for Vulnerable
Children and Families: Learning from an Institutional
Perspective.” Working Paper. Inter-Agency Task Team
on Children and HIV and AIDS: Working Group on Social
Protection, New York. www.unicef.org/aids/files/
Expanding_Social_Protection.MTemin.May2008.pdf.
Accessed 16 May 2014.
Thorp, R., F. Stewart, and A. Heyer. 2005.
“When and How
Far Is Group Formation a Route out of Chronic Poverty?”
World Development
33(6): 907–20.
Thrasher, R., and K. Gallagher. 2008.
21st Century Trade
Agreements: Implications for Long-Run Development
Policy.
Pardee Paper 2. Boston, MA: Boston University,
Frederick S. Pardee Center for the Study of the Longer
Range Future. http://ase.tufts.edu/gdae/Pubs/rp/
KGPardeePolSpaceSep08.pdf. Accessed 24 March 2014.
Tshimpanga, J.M., E. Enfors, R. Biggs, and G. Peterson.
2011.
“Maradi Agro-ecosystem.” Regime Shifts Database.
www.regimeshifts.org/component/k2/item/57-maradi-agro
-ecosystem#. Accessed 28 April 2014.
UCDP (Uppsala Conflict Data Program). 2013.
UCDP Non-
State Conflict Dataset v. 2.5-2013, 1989–2012. Sweden.
www.pcr.uu.se/research/ucdp/datasets/ucdp_non-state_
conflict_dataset_/. Accessed 18 February 2014.
UCDP (Uppsala Conflict Data Program) and PRIO
(Peace Research Institute Oslo). 2013.
UCDP/PRIO
Armed Conflict Dataset v.4-2013, 1946–2012. Sweden and
Oslo. www.pcr.uu.se/research/ucdp/datasets/ucdp_prio_
armed_conflict_dataset/. Accessed 18 February 2014.
UN (United Nations). 1948.
“Universal Declaration of Human
Rights.” G.A. Res. 217A(III), U.N. GAOR, 3d Sess., U.N. Doc.
A/810 (Dec. 10, 1948). www.un.org/en/documents/udhr/.
Accessed 20 March 2014.
———. 1966.
“International Convention on Economic,
Social and Cultural Rights.” G.A. res. 2200A (XXI), 21
U.N. GAOR Supp. (No. 16) at 49, U.N. Doc. A/6316 (1966).
www.ohchr.org/EN/ProfessionalInterest/Pages/CESCR.
aspx. Accessed 20 March 2014.
148 | HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
———. 1989.
“Convention on the Rights of the Child.” GA
res. 44/25, annex, 44 UN GAOR Supp. (No. 49) at 167,
U.N. Doc. A/44/49 (1989). www.un.org/documents/ga/
res/44/a44r025.htm. Accessed 20 March 2014.
———. 1995.
“Report of the Fourth World Conference on
Women.” 4–15 September, Beijing. www.un.org/
womenwatch/daw/beijing/pdf/Beijing%20full%20
report%20E.pdf. Accessed 20 March 2014.
———. 2000.
“United Nations Millennium Declaration.”
www.un.org/millennium/declaration/ares552e.htm.
Accessed 20 March 2014.
———. 2005.
World Summit Outcome (A/60/L.I) 15
September, 2005.
New York. www.un.org/womenwatch/
ods/A-RES-60-1-E.pdf. Accessed 25 March 2014.
———. 2006.
“Convention on the Rights of Persons with
Disabilities.” www.un.org/disabilities/default.asp?id=259.
Accessed 20 March 2014.
———. 2009.
“The Social Protection Floor.” www.un.org/
ga/second/64/socialprotection.pdf Accessed 20 March
2014.
———. 2012a.
“Report of the UN Special Rapporteur on
Extreme Poverty and Human Rights.” A/67/278. New York.
———. 2012b.
“Resolution Adopted by the General
Assembly on 27 July 2012: Resolution 66/288. The
Future We Want.” Sixty-Sixth Session of the General
Assembly. New York. www.un.org/ga/search/view_doc.
asp?symbol=A/RES/66/288&Lang=E. Accessed 27 March
2014.
———. 2013a.
“Declaration of the High-level Dialogue on
International Migration and Development.” Sixty-Eighth
Session of the General Assembly. New York. www.iom.
int/files/live/sites/iom/files/What-We-Do/docs/Final
-Declaration-2013-En.pdf. Accessed 20 March 2014.
———. 2013b.
A New Global Partnership: Eradicate
Poverty and Transform Economies through Sustainable
Development.
Report of the High-Level Panel of Eminent
Persons on the Post-2015 Development Agenda. New
York.
———. 2013c.
The Global Partnership for Development:
The Challenge We Face.
MDG Gap Task Force Report
2013. New York. www.un.org/en/development/desa/
policy/mdg_gap/mdg_gap2013/mdg_report_2013_en.pdf
Accessed 20 March 2014.
———. 2013d.
“Resolution Adopted by the General
Assembly on 9 July 2013: Resolution 67/290. Format and
Organizational Aspects of the High-Level Political Forum
on Sustainable Development.” Sixty-Seventh Session of
the General Assembly. New York. www.un.org/ga/search/
view_doc.asp?symbol=A/RES/67/290. Accessed 27 March
2014.
———. 2013e.
“Resolution Adopted by the General
Assembly on 20 September 2013: Resolution 61/16 on
‘Strengthening of the Economic and Social Council’.”
Sixty-Eighth Session of the General Assembly. New
York. www.un.org/ga/search/view_doc.asp?symbol=A/
RES/68/1. Accessed 27 March 2014.
———. 2014a.
“World Conference on Indigenous Peoples.”
http://wcip2014.org/background. Accessed 20 March
2014.
———. 2014b.
World Population Prospects: The 2012
Revision.
New York. http://esa.un.org/wpp/Excel-Data/
population.htm. Accessed 18 February 2014.
UN (United Nations) General Assembly. 2009.
“Legal
Empowerment of the Poor and Eradication of Poverty.”
Report of the Secretary General. A/64/133. New York.
www.snap-undp.org/lepknowledgebank/Public%20
Document%20Library/Legal%20empowerment%20of%20
the%20poor%20and%20Eradication%20of%20Poverty.
pdf. Accessed 16 May 2014.
———. 2013a.
“Draft Resolution Referred to the High-Level
Plenary Meeting of the General Assembly by the General
Assembly at its Sixty-Fourth Session.” A/65/L.1. www.
un.org/en/mdg/summit2010/pdf/mdg%20outcome%20
document.pdf. Accessed 16 May 2014.
———. 2013b.
“A Life of Dignity for All: Accelerating
Progress towards the Millennium Development Goals
and Advancing the United Nations Development Agenda
beyond 2015.” Report of the Secretary-General. A/68/202.
New York.
———. 2013c.
“Report of the Secretary-General on the
Situation in the Sahel Region.” New York.
UN (United Nations) News Centre. 2013a.
“States Must
Prioritize Migrants’ Human Rights, UN Independent
Experts Reiterate.” 7 October. www.un.org/apps/news/
story.asp?NewsID=46206&Cr=Italy&Cr1=&Kw1=
lampedusa&Kw2=&Kw3=#.U0XDET_XI25. Accessed
20 March 2014.
———. 2013b.
“Australia’s Transfer of Asylum-seekers
to Pacific Islands Faulted in UN Reports.” 26 November.
www.un.org/apps/news/story.asp?NewsID=
46596&Cr=asylum&Cr1. Accessed 20 March 2014.
UN Atlas of the Oceans. 2013.
“Human Settlement on the
Coasts.” www.oceansatlas.org/servlet/CDSServlet?status
=ND0xODc3JjY9ZW4mMzM9KiYzNz1rb3M~. Accessed
20 March 2014.
UN Enable. 2013.
“Disability, Natural Disasters and
Emergency Situations.” www.un.org/disabilities/default.
asp?id=1546. Accessed 30 March 2014.
UN Global Pulse. 2010.
Voices of the Vulnerable: Recovery
from the Ground Up.
New York. www.unglobalpulse.org/
sites/default/files/reports/Voices-of-the-Vulnerable_0.pdf.
Accessed 24 March 2014.
———. 2012.
“Monitoring Household Coping Strategies
during Complex Crises.” www.unglobalpulse.org/projects/
rivaf-research-monitoring-household-coping-strategies
-during-complex-crises. Accessed 30 March 2014.
UN System Task Team on the Post-2015 UN
Development Agenda. 2012a.
Disaster Risk and
Resilience.
New York. www.unisdr.org/files/27462_
20120607unttpostmdgthinkpieceondrra.pdf. Accessed
16 May 2014.
———. 2012b.
Social Protection: A Development Priority in
the Post-2015 UN Development Agenda.
New York. http://
www.un.org/millenniumgoals/pdf/Think%20Pieces/
16_social_protection.pdf. Accessed 27 March 2014.
UNCSD (United Nations Conference on Sustainable
Development). 2012.
“The Future We Want.” Rio
de Janeiro, Brazil. www.uncsd2012.org/content/
documents/727The%20Future%20We%20Want%20
19%20June%201230pm.pdf. Accessed 27 March 2014.
UNCTAD (United Nations Conference on Trade and
Development). 2012a.
Corporate Social Responsibility in
Global Value Chains: Evaluation and Monitoring Challenges
for Small and Medium Sized Suppliers in Developing
Countries.
New York and Geneva. http://unctad.org/en/
PublicationsLibrary/diaeed2012d3_en.pdf. Accessed
19 March 2014.
———. 2012b.
Development and Globalization: Facts and
Figures 2012.
Geneva.
———. 2013.
World Investment Report: Global Value
Chains: Investment and Trade for Development.
New York
and Geneva. http://unctad.org/en/publicationslibrary/
wir2013_en.pdf. Accessed 19 March 2014.
———. 2014.
UNCTADstat. http://unctadstat.unctad.org/
ReportFolders/reportFolders.aspx?sCS_referer=&sCS_
ChosenLang=en Accessed 20 March 2014.
UNDESA (United Nations Department of Economic and
Social Affairs). 2009.
State of the World’s Indigenous
Peoples.
New York. www.un.org/esa/socdev/unpfii/
documents/SOWIP_web.pdf. Accessed 28 March 2014.
———. 2013a.
“LDC Information: The Criteria for
Identifying Least Developed Countries.” www.un.org/
en/development/desa/policy/cdp/ldc/ldc_criteria.shtml.
Accessed 14 May 2014.
———. 2013b.
Report on World Social Situation 2013:
Inequality Matters.
New York.
UNDP (United Nations Development Programme). 1990.
Human Development Report 1990.
New York.
———. 1993.
Human Development Report 1993: People’s
Participation.
New York
———. 1994.
Human Development Report 1994: New
Dimensions of Human Security.
New York.
———. 2003.
Assessment of Micro-Macro Linkages in
Poverty Alleviation: South Asia.
Evaluation Office, New
York.
———. 2005.
Costa Rica National Human Development
Report: Overcoming Fear: Citizen (In)security and Human
Development in Costa Rica.
New York. http://hdr.undp.
org/sites/default/files/costa_rica_2005_en.pdf. Accessed
31 March 2014.
———. 2009a.
Community Security and Social Cohesion:
Towards a UNDP Approach.
Geneva.
———. 2009b.
Human Development Report 2009:
Overcoming Barriers: Human Mobility and Development.
New York: Palgrave Macmillian. http://hdr.undp.org/sites/
default/files/reports/269/hdr_2009_en_complete.pdf.
Accessed 31 March 2014.
———. 2010.
Human Development Report 2010: The Real
Wealth of Nations: Pathways to Human Development.
New York.
———. 2011a.
Human Development Report 2011:
Sustainability and Equity: A Better Future for All.
New
York.
———. 2011b.
“Illicit Financial Flows from the Least
Developed Countries 1990-2008.” Discussion Paper. New
York. http://www.ginbot7.org/pdf/IFFs_from_LDCs_web.
pdf. Accessed 24 March 2014.
———. 2011c.
Sharing Innovative Experiences: Successful
Social Protection Floor Experiences.
New York.
———. 2011d.
Towards Human Resilience: Sustaining
MDG Progress in an Age of Economic Uncertainty.
New
York.
———. 2012a.
Africa Human Development Report 2012:
Towards a Food Secure Future.
www.undp.org/content/
dam/undp/library/corporate/HDR/Africa%20HDR/UNDP
-Africa%20HDR-2012-EN.pdf. Accessed 20 March 2014.
Deepening progress: global goods and collective action | 149
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
———. 2012b.
Caribbean Human Development Report
2012: Human Development and the Shift to Better Citizen
Security.
New York. www.undp.org/content/dam/undp/
library/corporate/HDR/Latin%20America%20and%20
Caribbean%20HDR/C_bean_HDR_Jan25_2012_3MB.pdf.
Accessed 31 March 2014.
———. 2012c.
Governance for Peace: Securing the Social
Contract.
New York. www.undp.org/content/dam/undp/
library/crisis%20prevention/governance-for-peace
_2011-12-15_web.pdf.pdf. Accessed 24 March 2014.
———. 2012d.
Seeing Beyond the State: Grassroots
Women’s Perspectives on Corruption and Anti-corruption.
New York.
———. 2012e.
Somalia National Human Development
Report: Empowering Youth for Peace and Development.
New York. www.undp.org/content/dam/undp/library/
corporate/HDR/Arab%20States/HDR-Somalia-2012-E.pdf.
Accessed 21 March 2014.
———. 2013a.
Human Development Report 2013: The Rise
of the South: Human Progress in a Diverse World.
New
York.
———. 2013b.
Informe Regional de Desarrollo Humano
2013-2014: Seguridad Ciudadana con Rostro Humano:
Diagnóstico y Propuestas para América Latina.
New York.
www.undp.org/content/dam/rblac/img/IDH/IDH-AL%20
Informe%20completo.pdf. Accessed 21 March 2014.
———. 2013c.
The Millennium Development Goals Report
2013.
New York.
———. 2013d.
Preventing Crisis, Enabling Recovery: A
Review of UNDP’s Work in Conflict and Disaster-Affected
Countries: 2012.
New York. www.undp.org/content/dam/
undp/library/crisis%20prevention/BCPR_isuu-sm.pdf.
Accessed 15 May 2014.
———. 2014.
Humanity Divided: Confronting Inequality in
Developing Countries.
New York.
UNDP (United Nations Development Programme),
World Bank, and EC (European Commission). 2011.
“Roma Data.” www.eurasia.undp.org/content/rbec/en/
home/ourwork/povertyreduction/roma-in-central-and
-southeast-europe/roma-data/. Accessed 28 March 2014.
UNECA (United Nations Economic Commission for
Africa). 2010.
Innovations and Best Practices in Public
Sector Reforms: The Case of Civil Service in Ghana,
Kenya, Nigeria and South Africa.
Addis Ababa. www.
uneca.org/sites/default/files/publications/innovations_in_
the_public_sector.pdf. Accessed 16 May 2014.
UNFCCC (United Nations Framework Convention
on Climate Change). 2009.
“Copenhagen Accord.”
FCCC/CP/2009/L.7. Bonn, Germany. http://unfccc.int/
resource/docs/2009/cop15/eng/l07.pdf. Accessed 27
March 2014.
———. 2011.
“Report of the Conference of the Parties on
Its Sixteenth Session, Held in Cancun from 29 November
to 10 December 2010.” FCCC/CP/2010/7/Add.1. Bonn,
Germany. http://unfccc.int/resource/docs/2010/cop16/
eng/07a01.pdf. Accessed 27 March 2014.
———. 2012.
“Report of the Conference of the Parties
on Its Seventeenth Session, Held in Durban from 28
November to 11 December 2011.” FCCC/CP/2011/9/Add.1.
Bonn, Germany. http://unfccc.int/resource/docs/2011/
cop17/eng/09a01.pdf. Accessed 27 March 2014.
UNFPA (United Nations Population Fund). 2008.
“Linking
Population, Poverty and Development. Migration: A
150 | HUMAN DEVELOPMENT REPORT
2014
World on the Move.” www.unfpa.org/pds/migration.html.
Accessed 30 March 2014.
UNFPA (United Nations Population Fund). 2010.
State of
World Population 2010.
New York. www.unfpa.org/
webdav/site/global/shared/documents/publications/2010/
EN_SOWP10.pdf. Accessed 20 March 2014.
UNFPA (United Nations Population Fund) and HelpAge
International. 2012.
Ageing in the Twenty-First Century:
A Celebration and a Challenge.
New York and London:
UNFPA and HelpAge.
UN-Habitat (United Nations Human Settlements
Programme). 2011.
Cities and Climate Change:
Global Report on Human Settlements 2011.
Nairobi.
http://mirror.unhabitat.org/pmss/listItemDetails.
aspx?publicationID=3086. Accessed 24 March 2014.
UNHCR (United Nations High Commissioner for
Refugees). 2012.
UNHCR Global Trends 2012:
Displacement. The New 21st Century Challenge.
Geneva.
http://unhcr.org/globaltrendsjune2013/UNHCR%20
GLOBAL%20TRENDS%202012_V08_web.pdf. Accessed
19 March 2014.
UNICEF (United Nations Children’s Fund). 2006.
State of the World’s Children Report 2007: Women
and Children: The Double Dividend of Gender Equality.
New York.
———. 2007.
The Impact of International Migration:
Children Left Behind in Selected Countries of Latin
America and the Caribbean.
New York. www.unicef.
org/videoaudio/PDFs/The_Impact_of_International_
Migration_LAC.pdf. Accessed 20 March 2014.
———. 2008.
The State of Asia-Pacific’s Children.
New
York. www.unicef.org/pacificislands/SAPC_Full_Report.
pdf. Accessed 22 May 2014.
UNISDR (United Nations International Strategy for
Disaster Reduction). 2005.
“Hyogo Framework for
Action 2005-2015: Building the Resilience of Nations
and Communities to Disasters.” Geneva. www.unisdr.
org/2005/wcdr/intergover/official-doc/L-docs/Hyogo
-framework-for-action-english.pdf. Accessed 20 March
2014.
———. 2012a.
“Japan’s Success in Risk Reduction
Highlighted on March 11 Anniversary.” Press Release, 9
March. Geneva.
———. 2012b.
“UNISDR Counts the Cost of 20 Years of
Inaction on Climate Change and Risk Reduction.” Press
release, 13 June. Geneva.
———. n.d.
“Key Focus Areas.” www.unisdr.org/2006/
ppew/iewp/iewp-introduction.htm. Accessed 16 May
2014.
United Nations Global Pulse. 2012.
“Monitoring
Household Coping Strategies during Complex Crises.”
www.unglobalpulse.org/projects/rivaf-research
-monitoring-household-coping-strategies-during-complex
-crises. Accessed 28 April 2014.
United Nations Population Division. 2013.
“Trends
in International Migrant Stock: The 2013 Revision.”
New York. http://esa.un.org/unmigration/TIMSA2013/
migrantstocks2013.htm. Accessed 21 November 2013.
UNOCHA (UN Office for the Coordination of
Humanitarian Affairs). 2014.
“World Humanitarian
Summit 2016 Concept Note.” https://docs.unocha.org/
sites/dms/Documents/WHS%20Concept%20Note.pdf.
Accessed 20 March 2014.
UNOHCHR (Office of the High Commissioner for Human
Rights). 2003.
“Human Rights in the Administration
of Justice: A Manual on Human Rights for Judges,
Prosecutors and Lawyers.” Geneva. www.ohchr.org/
Documents/Publications/training9Titleen.pdf. Accessed
16 May 2014.
UNRISD (United Nations Research Institute for Social
Development). 2010.
Combating Poverty and Inequality:
Structural Change, Social Policy and Politics.
Geneva. www.
unrisd.org/80256B3C005BCCF9%2F%28httpAuxPages%29
%2F92B1D5057F43149CC125779600434441%2F. Accessed
16 May 2014.
UNSSC (United Nations System Staff College). 2010.
Indigenous Peoples and Peacebuilding: A Compilation of
Best Practices.
Turin, Italy.
Välilä, T., and A. Mehrotra. 2005.
“Evolution and
Determinants of Public Investment in Europe.” Economic
and Financial Report 2005/01. European Investment Bank,
Luxembourg.
Van de Gaer, D. 1993.
“Equality of Opportunity and
Investment in Human Capital.” Ph.D. thesis. Catholic
University of Louvain, Belgium.
Vennam, U., A. Komanduri, E. Cooper, G. Crivello,
and M. Woodhead. 2009.
“Early Childhood Education
Trajectories and Transitions: A Study of the Experiences
and Perspectives of Parents and Children in Andhra
Pradesh, India.” Young Lives Working Paper 52. University
of Oxford, Department of International Development,
Oxford, UK. www.younglives.org.uk/files/working-papers/
wp52-early-childhood-education-trajectories-and
-transitions-a-study-of-the-experiences-and-perspectives
-of-parents-and-children-in-andhra-pradesh-india.
Accessed 21 March 2014.
Verick, S. 2009.
“Who Is Hit Hardest during a Financial
Crisis? The Vulnerability of Young Men and Women to
Unemployment in an Economic Downturn.” Discussion
Paper 4359. Institute for the Study of Labour, Bonn.
http://ftp.iza.org/dp4359.pdf. Accessed 21 March 2014.
Vinding, D., and E.R. Kampbel. 2007.
“Indigenous
Women Workers with Case Studies from Bangladesh,
Nepal and the Americas.” Working Paper. International
Labour Office, Geneva. www.ilo.org/wcmsp5/groups/
public/---dgreports/---gender/documents/publication/
wcms_173293.pdf. Accessed 28 March 2014.
Von Braun, J., and G. Tadesse. 2012.
“Global Food Price
Volatility and Spikes: An Overview of Costs, Causes, and
Solutions.” Discussion Paper on Development Policy 161.
University of Bonn, Center for Development Research,
Bonn, Germany. http://ageconsearch.umn.edu/bit-
stream/120021/3/DP161Rev.pdf. Accessed 24 March 2014.
Von Wachter, T. 2014.
“The Effect of Labour-market Related
Shocks on Worker and Family Outcomes in Developed and
Developing Countries.” Human Development Research
Paper. United Nations Development Programme, Human
Development Report Office, New York.
Wachs, T.D., and A. Rahman. 2013.
“The Nature and
Impact of Risk and Protective Influences on Children’s
Development in Low-Income Countries.” In P.R. Britto, P.
Engle, and C. Super, eds.,
Handbook of Early Childhood
Development Research and Its Impact on Global Policy.
New York: Oxford University Press.
Wadhams, N. 2010.
“Iceland Volcano: Kenya’s Farmers Losing
$1.3m a Day in Flights Chaos.”
The Guardian,
18 April.
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
www.theguardian.com/world/2010/apr/18/iceland
-volcano-kenya-farmers. Accessed 19 March 2014.
Waldron, J. 2013.
“Separation of Powers in Thought and
Practice?”
Boston College Law Review
54: 433–68.
www.bc.edu/content/dam/files/centers/clough/pdf/
01_waldron.pdf. Accessed 16 May 2014.
Waters, H., F. Saadah, and M. Pradhan. 2003.
“The
Impact of the 1997–98 East Asian Economic Crisis on
Health and Health Care in Indonesia in Health Policy
Plan.”
Health Policy and Planning
18(2): 172–81.
Weiss, T.G. 2011.
“ECOSOC and the MDGs: What Can
Be Done?” In R. Wilkinson, and D. Humle, eds.,
The
Millennium Development Goals and Beyond: Global
Development after 2015.
New York: Routledge. www.
povertydialogue.org/wp-content/uploads/2011/01/26_
ECOSOC_and_the_MDGs_What_can_be_Done_
ThomasGWeiss.pdf. Accessed 27 March 2014.
Welford, R. 2013.
“Climate Change Refugees.”
CSR Asia
Weekly.
http://csr-asia.com/csr-asia-weekly-news-detail.
php?id=12312. Accessed 20 March 2014.
WHO (World Health Organization). 2000.
“Reproductive
Health during Conflict and Displacement: A Guide for
Programme Managers.” Geneva. http://whqlibdoc.who.
int/hq/2001/WHO_RHR_00.13.pdf?ua=1. Accessed
20 March 2014.
———. 2002.
World Health Report 2002: Reducing Risks,
Promoting Healthy Life.
Geneva. www.who.int/whr/2002/
en/whr02_en.pdf. Accessed 20 March 2014.
———. 2007.
Women, Ageing and Health: A Framework
for Action.
Geneva. http://whqlibdoc.who.int/publications/
2007/9789241563529_eng.pdf. Accessed 26 March 2014.
———. 2010.
Global Burden of Disease 2010.
Geneva.
———. 2011a.
Gender, Climate Change and Health.
Geneva.
———. 2011b.
World Report on Disability.
Geneva. http://
whqlibdoc.who.int/publications/2011/9789240685215_
eng.pdf. Accessed 30 March 2014.
———. 2013a.
“Global Leaders Support New Six-year Plan
to Deliver a Polio-free World by 2018.” News release.
25 April. www.who.int/mediacentre/news/releases/2013/
polio_six_year_plan_20130425/en/. Accessed 20 March
2014.
———. 2013b.
“Global and Regional Estimates of Violence
against Women: Prevalence and Health Effects of Intimate
Partner Violence and Nonpartner Sexual Violence.”
Geneva. http://apps.who.int/iris/bitstream/10665/85239/
1/9789241564625_eng.pdf. Accessed 28 March 2014.
Wisner, B., P. Blaikie, T. Cannon, and I. Davis. 2004. At
Risk: Natural Hazards, People’s Vulnerability and
Disasters.
2nd ed. London: Routledge.
Woldehanna, T., N. Jones, and, B. Tefera. 2008.
“The Invisibility of Children’s Paid and Unpaid Work:
Implications for Ethiopia’s National Poverty Reduction
Policy.”
Childhood
15: 177−201.
Woodhead, M., P. Dornan, and H. Murray. 2013.
What
Inequality Means for Children, Evidence from Young Lives.
Oxford, UK: Young Lives. www.younglives.org.uk/files/
policy-papers/what-inequality-means-for-children
-evidence-from-young-lives. Accessed 27 March 2014.
World Bank. 2000.
World Development Report 2000/01.
Washington, DC.
———. 2010.
World Development Report 2011: Conflict,
Security and Development.
Washington, DC.
———. 2011.
“Malaysia Economic Monitor: Brain Drain.”
Bangkok.
———. 2012.
World Development Report 2013: Jobs.
Washington, DC.
———. 2013a.
Remittance Prices Worldwide Databank.
http://remittanceprices.worldbank.org. Accessed
27 March 2014.
———. 2013b.
Turn Down the Heat: Climate Extremes,
Regional Impacts, and the Case for Resilience.
Washington DC: World Bank. www.worldbank.org/
content/dam/Worldbank/document/Full_Report_Vol_2_
Turn_Down_The_Heat_%20Climate_Extremes_Regional_
Impacts_Case_for_Resilience_Print%20version_FINAL.
pdf. Accessed 20 March 2014.
———. 2013c.
World Development Report 2014: Risk
and Opportunity—Managing Risk for Development.
Washington, DC.
———. 2014a.
PovcalNet online database. Washington,
DC. http://iresearch.worldbank.org/PovcalNet/. Accessed
15 February 2014.
———. 2014b.
World Development Indicators
DataBank. http://databank.worldbank.org/data/views/
variableSelection/selectvariables.aspx?source=
world-development-indicators. Accessed 20 March 2014.
———. n.d.
“Workers in the Informal Economy.” http://
go.worldbank.org/1PVGLNWYC0. Accessed 28 April 2014.
World Economic Forum. 2014.
Global Risks 2014: Ninth
Edition.
Geneva. http://www3.weforum.org/docs/WEF_
GlobalRisks_Report_2014.pdf. Accessed 21 March 2014.
WTO (World Trade Organization). 2001.
“Ministerial
Declaration.” WT/MIN(01)/DEC/1. www.wto.org/english/
thewto_e/minist_e/min01_e/mindecl_e.pdf. Accessed
13 May 2014.
———. 2013.
Ninth WTO Ministerial Conference. https://
mc9.wto.org. Accessed 24 March 2014.
WWF (World Wildlife Fund). 2007.
“Climate Savers.”
http://wwf.panda.org/what_we_do/how_we_work/
businesses/climate/climate_savers/. Accessed 20 March
2014.
Xinhua News Service. 2013.
“China Achieves 99% Rural
Healthcare Coverage.” 23 August. www.china.org.cn/
china/2013-08/23/content_29808818.htm. Accessed
16 May 2014.
Young, H.P. 2007.
“Social Norms and Public Policy.”
Brookings Institution, Washington, DC.
Young, I.M. 1990.
Justice and the Politics of Difference.
Princeton, NJ: Princeton University Press.
Young, M.E. 2002.
From Early Child Development to
Human Development: Investing in Our Children’s Future.
Washington, DC: World Bank.
———. 2014.
“Addressing and Mitigating Vulnerability
across the Life Cycle: The Case for Investing on Early
Childhood.” Human Development Research Paper. United
Nations Development Programme, Human Development
Report Office, New York.
Zaidi, A. 2014.
“Vulnerabilities in Old Age: A Review.”
Human Development Research Paper. United Nations
Development Programme, Human Development Report
Office, New York.
Zeitlyn, S. 2004.
“Social Exclusion in Asia – Some Initial
Ideas.” UK Department for International Development,
London.
Zepeda, E., S. McDonald, M. Panda, and G. Kumar.
2013.
“Employing India: Guaranteeing Jobs for the Rural
Poor.” Carnegie Endowment for International Peace,
Washington, DC. www.un.org/en/development/desa/
policy/publications/seminars/india_rural_employment.
pdf. Accessed 22 May 2014.
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HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Statistical annex
Readers guide
Key to HDI countries and ranks, 2013
Statistical tables
Human development indices
1
2
3
4
5
6
Human Development Index and its components
Human Development Index trends, 1980–2013
Inequality-adjusted Human Development Index
Gender Inequality Index
Gender Development Index
Multidimensional Poverty Index
160
164
168
172
176
180
182
184
188
192
196
200
204
208
212
216
220
155
159
6A Multidimensional Poverty Index: changes over time (select countries)
Human development indicators
7
8
9
Health: children and youth
Adult health and health expenditures
Education
10 Command over and allocation of resources
11 Social competencies
12 Personal insecurity
13 International integration
14 Environment
15 Population trends
16 Supplementary indicators: perceptions of well-being
Regions
Statistical references
224
225
Statistical annex | 153
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Readers guide
The 17 statistical tables of this annex provide an overview of
key aspects of human development. The first six tables contain
the family of composite human development indices and their
components estimated by the Human Development Report
Office
(HDRO). The remaining tables present a broader set of
indicators related to human development.
Unless otherwise specified in the notes, tables use data
available to the HDRO as of 15 November 2013. All indices
and indicators, along with technical notes on the calculation
of composite indices and additional source information, are
available online at http://hdr.undp.org/en/data.
Countries and territories are ranked by 2013 Human Devel-
opment Index (HDI) value. Robustness and reliability analysis
has shown that for most countries the differences in HDI are
not statistically significant at the fourth decimal place.
1
For
this reason countries with the same HDI value at three decimal
places are listed with tied ranks.
Methodology updates
Over the past three years the HDRO has held intensive con-
sultations with leading academic experts and policymakers to
discuss approaches to development measurement, including the
Report’s family of composite indices. A key point of agreement
among participants in these discussions was that the composite
indices must be clearly and intuitively understandable to policy-
makers, media, civil society leaders and other audiences so that
the indices will continue to be used for human development
policy guidance and advocacy.
A formal policy on future modifications of human development
indices is being elaborated. And the HDRO website (http://hdr.
undp.org/en) provides access for the first time to the proprietary
software programs used to calculate the indices in this Report.
The 2014 Report retains the HDI, the Multidimensional
Poverty index (MPI), the Inequality-adjusted Human Devel-
opment Index (IHDI) and the Gender Inequality Index (GII),
with slight modifications to the HDI and MPI. The HDI now
includes fixed maximum goalposts that we hope to maintain
for at least five years. For details on the HDI goalposts, see
Technical note 1
at http://hdr.undp.org. For details on updates
to the MPI, see
Technical note 5
at http://hdr.undp.org.
Sources and definitions
Unless otherwise noted, the HDRO uses data from interna-
tional data agencies with the mandate, resources and expertise
to collect national data on specific indicators.
Definitions of indicators and sources for original data com-
ponents are given at the end of each table, with full source
details in
Statistical references.
Comparisons over time and across editions
of the Report
Because national and international agencies continually improve
their data series, the data—including the HDI values and
ranks—presented in this Report are not comparable to those
published in earlier editions. For HDI comparability across
years and countries, see table 2, which presents trends using
consistent data calculated at five-year intervals for 1980–2013.
Gross national income per capita in
purchasing power parity terms
In comparing standards of living based on income across coun-
tries, the income component of the HDI uses gross national
income (GNI) per capita converted into purchasing power
parity (PPP) terms to eliminate differences in national price
levels.
The International Comparison Programme (ICP) survey
is the world’s largest statistical initiative that produces inter-
nationally comparable price levels, economic aggregates in
real terms and PPP estimates. Estimates from ICP surveys
conducted in 2011 and covering 180 countries became publicly
available on 7 May 2014 and were used to compute the 2013
HDI values.
Discrepancies between national and
international estimates
National and international data can differ because international
agencies harmonize national data using a consistent methodol-
ogy and occasionally produce estimates of missing data to allow
comparability across countries. In other cases international
agencies might not have access to the most recent national data.
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When HDRO becomes aware of discrepancies, it brings them
to the attention of national and international data authorities.
Statistical acknowledgements
The Report’s composite indices and other statistical resources
draw on a wide variety of the most respected international
data providers in their specialized fields. HDRO is particularly
grateful to the Centre for Research on the Epidemiology of
Disasters; Economic Commission for Latin America and the
Caribbean; Eurostat; Food and Agriculture Organization; Gal-
lup; ICF Macro; Internal Displacement Monitoring Centre;
International Labour Organization; International Monetary
Fund; International Telecommunication Union; Inter-Parlia-
mentary Union; Luxembourg Income Study; Organisation for
Economic Co-operation and Development; Oxford Poverty
and Human Development Initiative; United Nations Chil-
dren’s Fund; United Nations Conference on Trade and Devel-
opment; United Nations Department of Economic and Social
Affairs; United Nations Economic and Social Commission for
West Asia; United Nations Educational, Scientific and Cul-
tural Organization Institute for Statistics; Office of the United
Nations High Commissioner for Refugees; United Nations
Office on Drugs and Crime; United Nations World Tourism
Organization; World Bank; and World Health Organization.
The international education database maintained by Robert
Barro (Harvard University) and Jong-Wha Lee (Korea Univer-
sity) was another invaluable source for the calculation of the
Report’s indices.
Country groupings and aggregates
The tables present weighted aggregates for several country
groupings. In general, an aggregate is shown only when data are
available for at least half the countries and represent at least two-
thirds of the population in that classification. Aggregates for each
classification cover only the countries for which data are available.
Human development classification
HDI classifications are based on HDI fixed cut-off points,
which are derived from the quartiles of distributions of com-
ponent indicators. The cut-off points are HDI of less than 0.550
for low human development, 0.550–0.699 for medium human
development, 0.700–0.799 for high human development and
0.800 or greater for very high human development.
Regional groupings
Regional groupings are based on United Nations Development
Programme regional classifications. Least Developed Countries
and Small Island Developing States are defined according to
UN classifications (see www.unohrlls.org).
Country notes
Data for China do not include Hong Kong Special Administra-
tive Region of China, Macao Special Administrative Region of
China or Taiwan Province of China.
Data for Sudan include data for South Sudan, unless other-
wise indicated.
Statistical tables
The first seven tables relate to the five composite human devel-
opment indices and their components.
Since the 2010 Human Development Report, four compos-
ite human development indices—the HDI, IHDI, GII and
MPI—have been calculated. This year the Report introduces
the Gender Development Index, which compares the HDI
calculated separately for women and men.
The remaining tables present a broader set of human devel-
opment related indicators and provide a more comprehensive
picture of a country’s human development.
Table 1,
Human Development Index and its components,
ranks countries by 2013 HDI value and details the values of
the three HDI components: longevity, education (with two
indicators) and income. The table also presents values for the
2012 HDI based on the most recent data available for that year,
along with the change in rank between 2012 and 2013.
Table 2,
Human Development Index trends, 1980–2013,
provides a time series of HDI values allowing 2013 HDI values
to be compared with those for previous years. The table uses the
most recently revised historical data available in 2013 and the
Symbols
A dash between two years, as in 2005–2013, indicates that the
data are from the most recent year available in the period spec-
ified. A slash between years, as in 2005/2013, indicates average
for the years shown. Growth rates are usually average annual rates
of growth between the first and last years of the period shown.
The following symbols are used in the tables:
..
Not available
0 or 0.0 Nil or negligible
—
Not applicable
156
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2014
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HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
same methodology applied to compute the 2013 HDI. Along
with historical HDI values, the table includes the change in
HDI rank over the last five years and the average annual HDI
growth rates across three different time intervals.
Table 3,
Inequality-adjusted Human Development Index,
contains two related measures of inequality—the IHDI and
the loss in HDI due to inequality. The IHDI looks beyond
the average achievements of a country in health, education
and income to show how these achievements are distributed
among its residents. The IHDI can be interpreted as the level
of human development when inequality is accounted for. The
relative difference between the IHDI and HDI is the loss due
to inequality in distribution of the HDI within the country.
The table also presents a new measure, the coefficient of human
inequality, which is an unweighted average of inequalities in
three dimensions. In addition, the table shows each country’s
difference in rank on the HDI and the IHDI. A negative value
means that taking inequality into account lowers a country’s
rank in the HDI distribution. The table also presents three
standard measures of income inequality: the ratio of the top
and the bottom quintiles; the Palma ratio, which is the ratio of
income of the top 10 percent and the bottom 40 percent; and
the Gini coefficient.
Table 4,
Gender Inequality Index, presents a composite
measure of gender inequality using three dimensions: repro-
ductive health, empowerment and labour market participation.
Reproductive health is measured by two indicators: the mater-
nal mortality ratio and the adolescent birth rate. Empowerment
is measured by the share of parliamentary seats held by women
and the share of population with at least some secondary edu-
cation. And labour market is measured by participation in the
labour force. A low GII value indicates low inequality between
women and men, and vice-versa.
Table 5,
Gender Development Index, measures disparities
in HDI by gender. The table contains HDI values estimated
separately for women and men; the ratio of which is the GDI.
The closer the ratio is to 1, the smaller the gap between women
and men. Values for the three HDI components—longevity,
education (with two indicators) and income—are also present-
ed by gender.
Table 6,
Multidimensional Poverty Index, captures the mul-
tiple deprivations that people face in their education, health
and living standards. The MPI shows both the incidence of
nonincome multidimensional poverty (a headcount of those
in multidimensional poverty) and its intensity (the relative
number of deprivations people experience at the same time).
Based on intensity thresholds, people are classified as near
multidimensional poverty, multidimensionally poor or in
severe poverty, respectively. The contributions of deprivations
in each dimension to overall poverty are also included. The
table also presents measures of income poverty—population
living on less than PPP $1.25 per day and population living
below the national poverty line. This year’s MPI includes some
modifications to the original set of 10 indicators: height-for-age
replaces weight-for-age for children under age 5 because stunt-
ing is a better indicator of chronic malnutrition. A child death
is considered a health deprivation only if it happened in the five
years prior to the survey. The minimum threshold for education
deprivation was raised from five years of schooling to six to
reflect the standard definition of primary schooling used in the
Millennium Development Goals and in international measures
of functional literacy, and the indicators for household assets
were expanded to better reflect rural as well as urban house-
holds. The table also presents MPI estimates obtained under the
earlier specifications for comparative purposes.
Table 6A,
Multidimensional Poverty Index: Changes over
time (select countries), presents estimates of MPI and its com-
ponents for two or more time points for countries for which
consistent data were available in 2013. Estimation is based on
the revised methodology.
Table 7,
Health: children and youth, presents indicators of
infant health (percentage of infants who are exclusively breast-
fed for the first six months of life, percentage of infants who
lack immunization for DTP and measles, and infant mortality
rate), child health (percentage of children under age 5 who are
stunted, percentage of children who are overweight and child
mortality rate) and HIV prevalence and prevention (number
of children ages 0–14 living with HIV, youth HIV prevalence
rate, condom use among young people, and percentage of
pregnant women living with HIV not receiving treatment to
prevent mother-to-child transmission). The table also includes
data on antenatal coverage.
Table 8,
Adult health and health expenditure, contains adult
mortality rates by gender, age-standardized mortality rates
from alcohol and drug use, and age-standardized obesity rates
and HIV prevalence rates among adults. It also includes two
indicators on life expectancy—life expectancy at age 60 and
health-adjusted life expectancy at birth—and three indicators
on quality of health care—number of physicians per 10,000
people, health expenditure as a share of GDP and out of pocket
expenditure for health.
Table 9,
Education, presents standard education indicators
along with indicators on education quality, including average
test scores on reading, mathematics and science for 15-year-
old students. The table provides indicators of educational
attainment—adult and youth literacy rates and the share of the
adult population with at least some secondary education. Gross
enrolment ratios at each level of education are complemented by
primary school dropout rates. The table also includes two indi-
cators on education quality—primary school teachers trained
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to teach and the pupil–teacher ratio—as well as an indicator on
education expenditure as a percentage of GDP.
Table 10,
Command over and allocation of resources, cov-
ers several macroeconomic indicators such as gross domestic
product (GDP); gross fixed capital formation; taxes on income,
profit and capital gain as percentage of total tax revenue;
share of agriculture, hunting, forestry and fisheries in GDP;
and consumer price index. Gross fixed capital formation is
a rough indicator of national income that is invested rather
than consumed. In times of economic uncertainty or recession,
gross fixed capital formation typically declines. The consum-
er price index is a measure of inflation. General government
final consumption expenditure (presented as a share of GDP
and as average annual growth) and research and development
expenditure are indicators of public spending. In addition,
the table presents three indicators on debt—domestic credit
provided by the banking sector, external debt stock and total
debt service, all measured as a percentage of GDP—and two
indicators related to the price of food—the price level index
and the price volatility index.
Table 11,
Social competencies, contains indicators on three
components: employment and related vulnerabilities, social
protection and suicide rates by gender. Indicators on vulnera-
bilities related to employment include vulnerable employment,
youth and total unemployment, child labour and working poor
as well as length of mandatory paid maternity leave. Social
protection is represented by the percentage of children under
age 5 with birth registration and the percentage of pension-age
population actually receiving an old-age pension.
Table 12,
Personal insecurity, reflects the extent to which
the population is insecure. It presents number of refugees by
country of origin and number of internally displaced people.
It shows long-term unemployment rates, homicide rates, and
the size of the homeless population, prison population and
orphaned children population. And it includes the depth of
food deficit and a perception-based indicator on justification of
wife beating by gender.
Table 13,
International integration, provides indicators of
several aspects of globalization. International trade is captured
by measuring the remoteness of world markets and internation-
al trade as share of GDP. Capital flows are represented by net
inflows of foreign direct investment and private capital, official
development assistance and inflows of remittances. Human
mobility is captured by the net migration rate, the stock of
immigrants and the number of international inbound tourists.
International communication is represented by the share of
population that uses the Internet and international incoming
and outgoing telephone traffic.
Table 14,
Environment, covers environmental vulnerabil-
ity and effects of environmental threats. The table shows the
proportion of fossil fuels and renewable energy sources in the
primary energy supply, levels and annual growth of carbon
dioxide emissions per capita and measures of ecosystem and
natural resources preservation (natural resource depletion as a
percentage of GNI, forest area and change in forest area and
fresh water withdrawals). The table contains the under-five
mortality rates due to outdoor and indoor air pollution and
to unsafe water, unimproved sanitation or poor hygiene. The
table also presents indicators of the direct impacts of natural
disasters (number of deaths and population affected).
Table 15,
Population trends, contains major population
indicators, including total population, median age, depend-
ency ratios and total fertility rates, which can help assess the
burden of support that falls on the labour force in a country.
Deviations from the natural sex ratio at birth have implications
for population replacement levels, suggest possible future social
and economic problems and may indicate gender bias.
Table 16,
Supplementary indicators: perceptions of well-
being, includes indicators that reflect individuals’ opinions
and self-perceptions about relevant dimensions of human
development— quality of education, quality of health care,
standard of living and labour market, personal safety and
overall satisfaction with freedom of choice and life. The table
also contains indicators regarding trust in other people and
satisfaction with the community and a set of broader indicators
reflecting perceptions about government policies on poverty
alleviation and preservation of environment, and overall trust
in national government.
Note
1. Aguna and Kovacevic (2011) and Høyland, Moene and
Willumsen (2011).
158
| HUMAN DEVELOPMENT REPORT
2014
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1438643_0171.png
Key to HDI countries and ranks, 2013
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo
Congo (Democratic Republic of the)
Costa Rica
Côte d’Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia
169
95
93
37
149
61
49
87
2
21
76
51
44
142
59
53
21
84
165
136
113
86
109
79
30
58
181
180
136
152
8
123
185
184
41
91
98
159
140
186
68
171
47
44
32
28
10
170
93
102
98
110
115
144
182
33
173
88
24
20
112
172
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hong Kong, China (SAR)
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People’s Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia (Federated States of)
Moldova (Republic of)
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
79
6
138
29
79
125
179
177
121
168
129
15
43
13
135
108
75
120
11
19
26
96
17
77
70
147
133
15
46
125
139
48
65
162
175
55
18
35
21
155
174
62
103
176
39
161
63
71
124
114
103
51
129
178
150
127
145
4
7
132
187
152
Norway
Oman
Pakistan
Palau
Palestine, State of
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoa
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
South Africa
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Tanzania (United Republic of)
Thailand
The former Yugoslav Republic of Macedonia
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemen
Zambia
Zimbabwe
1
56
146
60
107
65
157
111
82
117
35
41
31
54
57
151
73
97
91
106
142
34
163
77
71
183
9
37
25
157
118
27
73
166
100
148
12
3
118
133
159
89
84
128
166
100
64
90
69
103
164
83
40
14
5
50
116
131
67
121
154
141
156
Key to HDI countries and ranks, 2013 | 159
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0172.png
TABLE
1
Human Development Index and its components
Human Development
Index (HDI)
Value
Life expectancy
at birth
(years)
2013
Mean years of
schooling
(years)
2012
a
Expected years
of schooling
(years)
2012
a
TABLE
Gross national income Human Development
(GNI) per capita
Index (HDI)
(2011 PPP $)
2013
Value
2012
Change
in rank
1
HDI rank
2013
2012–2013
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
58 Bulgaria
59 Barbados
60 Palau
61 Antigua and Barbuda
0.944
0.933
0.917
0.915
0.914
0.911
0.910
0.902
0.901
0.900
0.899
0.898
0.895
0.892
0.891
0.891
0.890
0.889
0.888
0.884
0.881
0.881
0.881
0.879
0.874
0.872
0.869
0.861
0.853
0.852
0.851
0.845
0.840
0.836
0.834
0.834
0.830
0.830
0.829
0.827
0.822
0.822
0.818
0.815
0.815
0.814
0.812
0.810
0.808
0.790
0.789
0.789
0.786
0.785
0.784
0.783
0.778
0.777
0.776
0.775
0.774
81.5
82.5
82.6
81.0
78.9
80.7
81.1
81.5
82.3
79.4
80.7
81.8
82.1
80.5
83.4
81.5
83.6
79.9
d
81.8
81.8
81.1
80.5
80.5
80.5
79.6
82.4
82.1
77.7
80.8
78.5
78.4
79.8
74.4
75.5
72.1
76.4
81.2
d
75.4
79.8
76.8
80.0
79.9
74.6
76.6
79.3
74.3
77.0
72.2
76.3
77.2
75.2
74.8
69.9
73.8
75.3
76.6
68.0
73.5
75.4
72.4
d
76.0
12.6
12.8
12.2
11.9
12.9
12.9
12.5
12.3
10.2
b
12.1
11.6
11.7
b
10.4
12.3
10.0
11.8
11.5
10.3
e
12.5
11.1
10.8
b
10.9
b
11.3
10.3
11.9
10.1
b
9.6
12.3
10.2
8.7
9.1
11.6
12.0
8.7
12.4
11.8
10.4
i
11.6
9.9
9.1
9.8
8.2
11.3
b
9.4
10.2
7.2
11.0
11.5
b
9.8
8.5
10.9
10.5
o
11.5
o
10.7
7.5
6.8
11.7
10.6
b
9.4
12.2
p
8.9
p
17.6
19.9
15.7
17.9
16.5
16.3
19.4
15.9
15.4
c
16.9
18.6
15.8
18.7
16.2
15.6
17.0
15.3
15.1
15.7
16.0
15.6
16.2
13.9
17.0
16.8
16.3
17.1
16.4
16.5
14.5
13.8
14.0
16.5
15.6
16.7
15.5
11.7
15.0
14.5
13.3
k
15.1
16.3
15.4
14.4
l
14.5
14.6
14.5
15.5
16.4
15.5
12.6
n
15.2
15.7
14.1
16.1
13.6
14.0
14.3
15.4
13.7
13.8
63,909
41,524
53,762
42,397
52,308
43,049
32,569
41,887
72,371
42,880
33,414
43,201
35,116
35,002
52,383
30,345
36,747
87,085
f,g
29,966
36,629
42,930
39,471
58,695
37,366
26,809
32,669
30,561
24,535
24,658
70,883
h
119,029
g
26,771
23,387
52,109
23,740
21,487
40,597
j
25,336
27,022
58,068
20,804
24,130
21,239
32,072
h
19,844
m
85,820
g
19,025
22,186
17,297
h
18,108
21,414
14,710
16,403
17,433
21,666
h
42,191
h
22,617
15,402
13,604
12,823
18,800
0.943
0.931
0.916
0.915
0.912
0.911
0.908
0.901
0.899
0.900
0.901
0.897
0.893
0.890
0.889
0.888
0.888
0.888
0.886
0.884
0.880
0.880
0.880
0.879
0.874
0.872
0.869
0.861
0.854
0.852
0.850
0.848
0.839
0.833
0.831
0.833
0.830
0.829
0.827
0.825
0.819
0.822
0.817
0.813
0.813
0.813
0.812
0.808
0.806
0.787
0.788
0.787
0.785
0.782
0.789
0.781
0.777
0.776
0.776
0.773
0.773
0
0
0
0
0
0
0
0
3
0
–3
–1
0
0
0
1
–1
–2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
–1
0
1
0
0
1
0
0
0
0
–2
0
0
0
2
0
1
1
1
–5
0
0
0
–1
0
–1
160
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0173.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Human Development
Index (HDI)
Value
HDI rank
2013
Life expectancy
at birth
(years)
2013
Mean years of
schooling
(years)
2012
a
Expected years
of schooling
(years)
2012
a
Gross national income Human Development
(GNI) per capita
Index (HDI)
(2011 PPP $)
2013
Value
2012
Change
in rank
TABLE
1
2012–2013
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
0.773
0.771
0.766
0.765
0.765
0.764
0.763
0.759
0.757
0.756
0.756
0.750
0.750
0.749
0.747
0.745
0.745
0.744
0.744
0.744
0.737
0.734
0.732
0.732
0.731
0.730
0.724
0.722
0.721
0.719
0.719
0.717
0.717
0.716
0.715
0.714
0.711
0.711
0.705
0.705
0.700
0.698
0.698
0.698
0.694
0.686
0.684
0.683
0.682
0.676
0.674
0.667
0.663
0.662
0.661
0.660
0.658
0.658
0.642
0.638
0.638
0.636
75.0
73.6
69.9
80.0
77.6
74.6
79.9
75.3
66.5
77.5
73.2
73.6
d
74.3
74.0
70.8
73.9
74.1
73.9
74.3
72.8
74.8
68.5
73.9
75.2
76.4
74.6
69.8
74.4
75.9
75.3
72.5
71.0
77.7
d
77.4
73.5
74.8
74.0
76.5
71.0
72.7
73.4
77.9
67.5
65.5
73.2
73.2
70.8
64.4
v
71.2
72.3
63.5
67.3
68.9
72.6
68.2
68.7
56.9
74.6
69.4
66.3
75.9
75.1
9.5
8.5
10.8
7.9
o
9.4
8.6
8.4
7.6
10.4
8.5
9.4
o
8.4
p
10.8
7.8
11.2
o
9.9
9.5
7.2
12.1
r
8.6
p
9.0
11.3
9.3
8.2
r
8.3
o
10.8
9.9
7.3
6.5
7.5
8.6
p
7.6
7.7
p
9.3
9.6
8.3
p
7.1
7.6
7.7
9.4
b
7.5
5.8
b
8.3
9.9
s
10.3
8.9
o
7.5
8.8
6.4
7.7
7.4
9.2
9.8
6.5
10.0
r
8.9
b
9.9
6.6
5.6
8.5
5.5
3.5
p
12.7
15.6
12.3
13.2
12.4
14.2
13.5
14.4
15.0
12.8
11.6
12.9
13.6
15.2
11.8
13.3
13.6
15.2
q
13.2
15.8
13.1
15.1
13.7
13.3
13.6
12.3
15.7
13.1
14.6
12.9
13.3
14.0
12.7
n
10.8
12.5
12.8
13.2
12.3
n
12.0
14.7
12.3
l
12.7
15.0
12.6
p
12.9
t
13.2
12.7
11.7
13.0
11.9
12.3
13.2
11.8
12.1
11.5
11.3
13.1
p
12.0
10.1
10.7
11.9
n
13.2
21,824
16,777
25,325
16,263
16,379
17,067
13,012
18,391
19,441
15,854
24,632
20,150
9,250
13,451
h
15,725
11,337
11,301
14,275
6,890
10,339
11,280
8,215
9,364
11,745
9,431
7,952
7,214
13,364
10,440
11,477
10,339
12,555
9,235
9,225
8,170
9,251
11,527
9,998
15,113
5,316
10,844
10,074
8,466
11,533
4,708
5,168
h,u
8,970
14,792
10,400
7,580
16,977
5,552
5,041
7,240
5,227
6,381
11,788
5,771
h,u
14,007
6,341
4,892
6,365
0.770
0.769
0.765
0.764
0.761
0.763
0.761
0.756
0.755
0.755
0.755
0.749
0.745
0.749
0.745
0.744
0.743
0.742
0.741
0.743
0.734
0.733
0.731
0.730
0.729
0.728
0.722
0.720
0.719
0.715
0.717
0.715
0.716
0.714
0.715
0.715
0.708
0.708
0.702
0.704
0.698
0.695
0.692
0.693
0.693
0.683
0.681
0.681
0.681
0.670
0.670
0.663
0.657
0.660
0.657
0.656
0.654
0.662
0.641
0.635
0.635
0.635
0
0
0
0
2
–1
–1
0
0
–1
–1
0
2
–2
–1
0
1
1
2
–1
0
0
0
1
0
0
0
0
0
2
0
0
–1
2
–3
–4
0
0
1
0
0
0
3
1
–2
0
0
–1
–2
0
–1
0
2
0
0
1
1
–4
0
0
0
–2
TABLE 1
Human Development Index and its components | 161
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0174.png
TABLE 1
HUMAN DEVELOPMENT INDEX AND ITS COMPONENTS
TABLE
Human Development
Index (HDI)
Value
HDI rank
2013
Life expectancy
at birth
(years)
2013
Mean years of
schooling
(years)
2012
a
Expected years
of schooling
(years)
2012
a
Gross national income Human Development
(GNI) per capita
Index (HDI)
(2011 PPP $)
2013
Value
2012
Change
in rank
1
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
2012–2013
0.630
0.628
0.628
0.624
0.620
0.617
0.617
0.616
0.614
0.607
0.607
0.586
0.584
0.584
0.573
0.569
0.564
0.561
0.558
0.558
0.556
0.540
0.537
0.535
0.530
0.526
0.524
0.506
0.504
0.504
0.500
0.498
0.492
0.491
0.491
0.488
0.488
0.487
0.486
0.485
0.484
0.476
0.473
0.473
0.471
0.468
0.467
0.452
0.441
0.435
0.414
0.412
0.407
0.396
0.393
0.392
0.389
0.388
0.381
0.374
0.372
0.341
69.0
72.1
67.5
64.5
67.5
73.8
70.9
71.6
74.8
68.9
67.2
66.4
68.3
71.9
61.1
68.3
58.8
58.1
70.7
66.3
53.1
68.4
66.6
61.7
49.0
51.9
65.2
64.1
55.1
52.5
63.1
64.7
59.9
62.4
67.7
60.9
61.5
61.6
49.4
63.5
59.2
59.3
62.1
56.5
63.1
60.9
61.8
50.7
58.8
63.6
55.3
60.6
55.0
54.3
50.3
56.1
54.1
56.3
62.9
45.6
51.2
50.2
8.8
5.6
9.3
6.2
4.4
w
5.5
4.4
9.0
o
5.8
7.8
p
9.9
4.4
2.3
w
5.8
7.0
4.6
6.1
6.5
5.1
4.7
w
5.4
p
3.2
4.7
6.3
7.1
4.7
w
4.0
3.3
5.9
5.2
w
2.5
5.2
p
7.2
3.9
4.5
p
2.8
5.1
3.7
5.9
b
4.5
5.4
3.2
3.1
5.3
4.9
3.2
3.8
r
4.3
2.8
2.4
w
4.2
3.9
2.0
b
2.3
r
3.2
w
1.6
w
2.7
1.3
r
3.4
p
2.9
1.5
s
3.5
s
11.4
10.7
12.5
11.3
11.7
11.6
11.6
10.6
10.5
12.3
11.2
11.7
12.4
10.9
11.5
10.2
11.1
13.5
10.0
11.3
8.5
p
3,662
6,866
3,021
9,185
9,674
4,138
6,905
2,652
4,266
2,645
2,424
5,150
6,775
2,805
3,532
4,351
4,909
2,898
2,713
3,111
21,972
2,194
4,652
2,158
5,536
6,323
3,998
h
1,403
2,557
5,353
3,945
1,333
1,307
2,453
1,385
1,505
1,702
2,988
2,798
2,169
1,335
1,726
3,428
1,129
1,636
1,904
3,109
h
2,774
1,557
1,303
715
752
1,499
1,090
1,011
1,142
749
1,602
1,147
1,815
1,622
588
0.629
0.626
0.621
0.620
0.616
0.616
0.614
0.617
0.611
0.606
0.603
0.583
0.580
0.579
0.571
0.565
0.561
0.554
0.554
0.556
0.556
0.537
0.535
0.531
0.529
0.524
0.520
0.502
0.501
0.500
0.499
0.496
0.484
0.490
0.489
0.486
0.484
0.485
0.481
0.484
0.480
0.473
0.472
0.470
0.469
0.466
0.465
0.448
0.438
0.429
0.411
0.407
0.406
0.396
0.389
0.391
0.386
0.385
0.380
0.368
0.370
0.365
0
0
1
0
1
0
2
–3
0
0
1
0
0
1
0
0
0
2
1
–1
–3
0
0
0
0
0
0
0
0
1
0
0
4
–1
0
–1
1
–2
1
–3
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
–1
0
0
0
1
–1
0
12.4
7.7
11.0
11.3
11.4
8.6
13.2
10.4
9.0
9.2
10.3
9.3
8.9
p
9.2
12.8
9.2
8.2
11.1
7.9
10.8
11.0
7.3
p
12.2
7.6
p
9.3
6.4
8.9
p
9.1
8.5
10.8
8.5
p
8.6
9.0
9.5
8.7
10.1
7.5
4.1
7.5
p
7.4
7.2
162
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0175.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Human Development
Index (HDI)
Value
HDI rank
2013
Life expectancy
at birth
(years)
2013
Mean years of
schooling
(years)
2012
a
Expected years
of schooling
(years)
2012
a
Gross national income Human Development
(GNI) per capita
Index (HDI)
(2011 PPP $)
2013
Value
2012
Change
in rank
TABLE
1
2012–2013
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
0.338
0.337
..
..
..
..
..
..
..
..
0.890
0.735
0.614
0.493
0.682
0.703
0.738
0.740
0.588
0.502
0.487
0.665
0.702
50.0
58.4
70.0
72.6
..
..
..
55.1
55.3
..
80.2
74.5
67.9
59.4
70.2
74.0
71.3
74.9
67.2
56.8
61.5
70.0
70.8
3.1
1.4
..
..
..
..
..
..
..
..
11.7
8.1
5.5
4.2
6.3
7.4
9.6
7.9
4.7
4.8
3.9
7.5
7.7
9.7
5.4
..
..
..
9.3
15.3
..
..
10.8
16.3
13.4
11.7
9.0
11.8
12.5
13.6
13.7
11.2
9.7
9.4
11.0
12.2
444
873
..
4,206
..
..
..
..
1,450
5,151
40,046
13,231
5,960
2,904
15,817
10,499
12,415
13,767
5,195
3,152
2,126
9,471
13,723
0.333
0.335
..
..
..
..
..
..
..
..
0.889
0.733
0.612
0.490
0.681
0.699
0.735
0.739
0.586
0.499
0.484
0.663
0.700
1
–1
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
NOTES
a
Data refer to 2012 or the most recent year
available.
b
Updated by HDRO based on data from UNESCO
Institute for Statistics (2013b).
c
Calculated by the Singapore Ministry of
Education.
d
Value from UNDESA (2011).
e
Assumes the same adult mean years of schooling
as Switzerland before the most recent update.
f
Estimated using the purchasing power parity (PPP)
rate and the projected growth rate of Switzerland.
g
For the purpose of calculating the HDI, GNI per
capita is capped at $75,000.
h
Based on PPP conversion rates for GDP from
World Bank (2014) and on GDP deflators and
GNI per capita in national currency from United
Nations Statistics Division (2014).
i
Assumes the same adult mean years of schooling
as Spain before the most recent update.
j
Estimated using the PPP rate and the projected
growth rate of Spain.
k
Based on data from UNESCO Institute for
Statistics (2011).
l
Based on data on school life expectancy from
UNESCO Institute for Statistics (2013a).
m
Projected growth rate based on ECLAC (2013).
n
Based on data on school life expectancy from
UNESCO Institute for Statistics (2012).
o
Based on the estimate of educational attainment
distribution from UNESCO Institute for Statistics
(2013b).
p
Based on cross-country regression.
q
HDRO calculations based on data from the
National Institute for Educational Studies of
Brazil (2013).
r
Based on data from United Nations Children’s Fund
Multiple Indicator Cluster Surveys for 2005–2012.
s
Based on data from household surveys in the
World Bank’s International Income Distribution
Database.
t
HDRO calculations based on data from Samoa
Bureau of Statistics (n.d.).
u
Based on projected growth rates from UNESCWA
(2013).
v
Unpublished provisional estimate from an October
2013 communication note from the United
Nations Population Division.
w
Based on data from Demographic and Health
Surveys conducted by ICF Macro.
DEFINITIONS
Human Development Index (HDI):
A composite
index measuring average achievement in three basic
dimensions of human development—a long and
healthy life, knowledge and a decent standard of
living. See
Technical note 1
at http://hdr.undp.org for
details on how the HDI is calculated.
Life expectancy at birth:
Number of years a
newborn infant could expect to live if prevailing
patterns of age-specific mortality rates at the time of
birth stay the same throughout the infant’s life.
Mean years of schooling:
Average number of
years of education received by people ages 25 and
older, converted from education attainment levels
using official durations of each level.
Expected years of schooling:
Number of years
of schooling that a child of school entrance age can
expect to receive if prevailing patterns of age-specific
enrolment rates persist throughout the child’s life.
Gross national income (GNI) per capita:
Aggregate income of an economy generated by
its production and its ownership of factors of
production, less the incomes paid for the use of
factors of production owned by the rest of the world,
converted to international dollars using PPP rates,
divided by midyear population.
MAIN DATA SOURCES
Columns 1 and 6:
HDRO calculations based on data
from UNDESA (2013a), Barro and Lee (2013), UNESCO
Institute for Statistics (2013b), United Nations Statistics
Division (2014), World Bank (2014) and IMF (2014).
Column 2:
UNDESA 2013a.
Column 3:
Barro and Lee (2013), UNESCO Institute
for Statistics (2013b) and HDRO estimates based
on data on educational attainment from UNESCO
Institute for Statistics (2013b) and on methodology
from Barro and Lee (2013).
Column 4:
UNESCO Institute for Statistics 2013b.
Column 5:
HDRO calculations based on data from
World Bank (2014), IMF (2014) and United Nations
Statistics Division (2014).
Column 7:
Calculations based on data in columns
1 and 6.
TABLE 1
Human Development Index and its components | 163
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0176.png
TABLE
2
Human Development Index trends, 1980–2013
Human Development Index (HDI)
Value
HDI rank
Change
2010
2011
2012
2013
2012
Average annual HDI growth
(%)
1980
1990
2000
2005
2008
2008–2013
a
1980–1990 1990–2000 2000–2013
HDI rank
TABLE
2
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
58 Bulgaria
59 Barbados
60 Palau
61 Antigua and Barbuda
62 Malaysia
0.793
0.841
0.806
0.783
0.825
0.739
0.793
0.809
..
0.781
0.734
0.776
0.754
0.735
0.698
0.628
0.772
..
0.749
0.722
0.736
0.753
0.729
0.752
..
0.718
0.702
..
0.713
0.740
0.729
0.661
..
0.583
..
0.687
..
..
0.704
0.640
0.640
0.643
0.696
0.677
0.681
0.702
..
..
0.665
0.658
..
..
..
0.685
0.641
..
..
0.658
0.658
..
..
0.577
0.841
0.866
0.829
0.826
0.858
0.782
0.821
0.848
0.744
0.806
0.775
0.807
0.800
0.768
0.775
0.731
0.817
..
0.785
0.779
0.786
0.805
0.786
0.792
0.769
0.763
0.755
0.762
0.749
0.786
0.756
0.726
0.730
0.662
0.737
0.714
..
0.747
0.730
0.725
0.704
0.708
0.701
0.729
0.729
0.723
0.689
0.710
0.694
0.691
..
..
..
0.703
0.684
..
0.729
0.696
0.706
..
..
0.641
0.910
0.898
0.886
0.874
0.883
0.854
0.873
0.867
0.800
0.859
0.862
0.889
0.858
0.863
0.810
0.819
0.858
..
0.849
0.848
0.835
0.873
0.866
0.841
0.821
0.825
0.826
0.806
0.798
0.822
0.811
0.800
0.776
0.744
0.757
0.784
..
0.776
0.770
0.797
0.753
0.780
0.774
0.784
0.742
0.804
0.748
0.729
0.753
0.740
0.766
..
..
0.706
0.745
..
0.717
0.714
0.745
0.741
..
0.717
0.935
0.912
0.901
0.888
0.897
0.887
0.894
0.892
0.840
0.891
0.890
0.887
0.888
0.888
0.839
0.856
0.873
..
0.869
0.867
0.851
0.865
0.876
0.869
0.855
0.858
0.844
0.845
0.853
0.838
0.840
0.828
0.821
0.773
0.806
0.803
..
0.803
0.801
0.823
0.785
0.790
0.805
0.811
0.786
0.795
0.781
0.786
0.758
0.755
0.787
0.750
0.725
0.750
0.772
0.733
0.750
0.749
0.761
0.771
..
0.747
0.937
0.922
0.903
0.901
0.905
0.902
0.899
0.896
0.868
0.896
0.902
0.891
0.886
0.890
0.877
0.874
0.881
..
0.877
0.875
0.868
0.873
0.882
0.878
0.871
0.868
0.857
0.856
0.858
0.843
0.855
0.844
0.832
0.791
0.827
0.817
..
0.824
0.809
0.832
0.805
0.805
0.814
0.810
0.830
0.800
0.801
0.813
0.777
0.773
0.791
0.780
0.764
0.781
0.789
0.714
0.770
0.766
0.776
0.772
..
0.760
0.939
0.926
0.915
0.904
0.908
0.904
0.903
0.896
0.894
0.898
0.899
0.895
0.886
0.895
0.882
0.882
0.884
0.882
0.881
0.879
0.877
0.877
0.881
0.877
0.873
0.869
0.864
0.858
0.856
0.844
0.847
0.848
0.830
0.815
0.829
0.826
0.832
0.826
0.821
0.824
0.808
0.816
0.817
0.812
0.824
0.807
0.806
0.809
0.799
0.779
0.788
0.784
0.779
0.779
0.799
0.780
0.773
0.773
0.779
0.768
0.778
0.766
0.941
0.928
0.914
0.914
0.911
0.908
0.904
0.900
0.896
0.899
0.900
0.896
0.890
0.891
0.886
0.886
0.887
0.887
0.885
0.882
0.879
0.880
0.881
0.879
0.874
0.872
0.868
0.861
0.854
0.846
0.843
0.850
0.836
0.825
0.828
0.830
0.831
0.827
0.823
0.824
0.815
0.819
0.817
0.812
0.819
0.810
0.812
0.804
0.804
0.783
0.789
0.787
0.784
0.782
0.753
0.781
0.775
0.774
0.780
0.770
0.772
0.768
0.943
0.931
0.916
0.915
0.912
0.911
0.908
0.901
0.899
0.900
0.901
0.897
0.893
0.890
0.889
0.888
0.888
0.888
0.886
0.884
0.880
0.880
0.880
0.879
0.874
0.872
0.869
0.861
0.854
0.852
0.850
0.848
0.839
0.833
0.831
0.833
0.830
0.829
0.827
0.825
0.819
0.822
0.817
0.813
0.813
0.813
0.812
0.808
0.806
0.787
0.788
0.787
0.785
0.782
0.789
0.781
0.777
0.776
0.776
0.773
0.773
0.770
0.944
0.933
0.917
0.915
0.914
0.911
0.910
0.902
0.901
0.900
0.899
0.898
0.895
0.892
0.891
0.891
0.890
0.889
0.888
0.884
0.881
0.881
0.881
0.879
0.874
0.872
0.869
0.861
0.853
0.852
0.851
0.845
0.840
0.836
0.834
0.834
0.830
0.830
0.829
0.827
0.822
0.822
0.818
0.815
0.815
0.814
0.812
0.810
0.808
0.790
0.789
0.789
0.786
0.785
0.784
0.783
0.778
0.777
0.776
0.775
0.774
0.773
1
2
3
4
5
6
7
8
12
10
8
11
13
14
15
16
16
16
19
20
21
21
21
24
25
26
27
28
29
30
31
32
33
34
36
34
37
38
39
40
42
41
43
44
44
44
47
48
49
52
51
52
54
55
50
56
57
58
58
60
60
62
0
0
1
3
–2
–1
1
1
14
–1
–6
–1
0
–2
2
5
–2
..
–1
0
3
1
–6
–7
–2
–2
1
1
–2
2
–1
–1
0
13
1
3
..
0
4
–5
3
3
–3
–2
–9
1
–1
–7
4
5
–3
1
7
–3
–5
6
0
0
–5
–4
..
1
0.59
0.29
0.29
0.53
0.39
0.57
0.35
0.48
..
0.31
0.54
0.38
0.59
0.45
1.06
1.52
0.57
..
0.48
0.76
0.67
0.68
0.75
0.52
..
0.60
0.74
..
0.49
0.60
0.35
0.95
..
1.28
..
0.38
..
..
0.36
1.25
0.96
0.96
0.08
0.75
0.68
0.29
..
..
0.43
0.49
..
..
..
0.25
0.65
..
..
0.57
0.71
..
..
1.05
0.80
0.37
0.66
0.57
0.29
0.89
0.62
0.21
0.72
0.63
1.08
0.98
0.70
1.18
0.43
1.14
0.48
..
0.78
0.85
0.61
0.81
0.98
0.60
0.66
0.78
0.90
0.56
0.64
0.46
0.71
0.96
0.61
1.17
0.28
0.94
..
0.39
0.53
0.95
0.67
0.97
0.99
0.72
0.17
1.08
0.82
0.26
0.81
0.69
..
..
..
0.05
0.85
..
–0.17
0.25
0.54
..
..
1.12
0.28
0.29
0.27
0.35
0.26
0.51
0.32
0.31
0.92
0.37
0.32
0.08
0.32
0.25
0.74
0.65
0.28
..
0.34
0.33
0.41
0.07
0.13
0.34
0.48
0.43
0.39
0.52
0.51
0.27
0.37
0.43
0.61
0.90
0.75
0.48
..
0.51
0.57
0.28
0.68
0.41
0.43
0.30
0.73
0.09
0.64
0.82
0.55
0.50
0.23
..
..
0.82
0.40
..
0.64
0.66
0.31
0.34
..
0.58
164
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0177.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Human Development Index (HDI)
Value
HDI rank
1980
1990
2000
2005
2008
2010
2011
2012
2013
HDI rank
Change
2012
Average annual HDI growth
(%)
2008–2013
a
1980–1990 1990–2000 2000–2013
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
0.558
0.658
..
0.627
0.639
0.605
0.496
..
0.595
..
..
0.569
0.490
..
0.587
..
0.545
..
..
0.595
..
0.619
..
..
..
0.587
0.503
0.484
0.423
..
0.509
..
0.603
0.614
..
0.557
0.605
..
0.602
0.527
..
0.515
..
..
..
0.471
0.470
0.452
0.550
0.540
0.494
..
0.517
..
0.566
0.569
0.528
0.500
0.516
0.463
..
..
0.445
0.621
0.658
..
0.651
0.644
0.652
0.576
0.686
0.647
..
..
0.620
0.552
..
0.622
0.726
0.612
..
..
0.615
0.705
0.640
..
..
0.632
0.619
0.572
0.567
0.502
..
0.576
..
0.609
0.638
..
0.596
0.643
..
0.631
0.589
..
0.552
..
..
..
0.528
0.583
0.546
0.581
0.619
0.554
0.645
0.529
..
0.591
0.619
0.570
0.508
0.505
0.476
..
..
0.483
0.686
0.697
..
0.709
0.677
0.705
0.653
0.679
0.699
0.743
..
0.679
0.652
0.639
0.705
0.713
0.682
..
..
0.682
0.668
0.675
..
..
0.648
0.674
0.649
0.653
0.591
..
0.634
0.691
0.655
0.671
..
0.655
0.658
..
0.672
0.645
0.599
0.580
..
0.654
..
0.609
0.560
0.621
0.625
0.632
0.615
0.598
0.607
..
0.619
0.628
0.605
0.606
0.570
0.563
0.573
..
0.551
0.722
0.745
0.741
0.728
0.716
0.721
0.687
0.734
0.724
0.757
..
0.710
0.681
0.686
0.733
0.732
0.705
0.710
..
0.694
0.713
0.710
0.699
0.716
0.693
0.694
0.685
0.687
0.645
..
0.675
0.708
0.689
0.700
..
0.680
0.687
0.672
0.695
0.668
0.659
0.637
..
0.681
0.649
0.640
0.610
0.645
0.648
0.644
0.636
0.639
0.640
0.626
0.638
0.608
0.653
0.621
0.584
0.598
0.589
..
0.576
0.741
0.764
0.750
0.752
0.758
0.744
0.710
0.744
0.739
0.766
..
0.725
0.711
0.724
0.746
0.743
0.731
0.730
..
0.707
0.729
0.710
0.724
0.727
0.722
0.712
0.704
0.706
0.682
..
0.695
0.712
0.703
0.710
..
0.700
0.697
0.694
0.696
0.684
0.675
0.665
..
0.683
0.672
0.654
0.656
0.667
0.661
0.654
0.649
0.652
0.648
0.643
0.648
0.623
0.658
0.632
0.621
0.617
0.613
..
0.601
0.753
0.764
0.759
0.759
0.759
0.750
0.738
0.747
0.748
0.763
0.747
0.736
0.725
0.743
0.744
0.743
0.739
0.733
0.746
0.722
0.726
0.714
0.728
0.726
0.720
0.721
0.715
0.715
0.701
0.717
0.709
0.717
0.708
0.712
0.717
0.706
0.701
0.698
0.701
0.691
0.688
0.671
0.687
0.688
0.671
0.671
0.672
0.678
0.669
0.662
0.658
0.652
0.652
0.648
0.651
0.638
0.662
0.638
0.626
0.629
0.622
0.627
0.613
0.759
0.764
0.764
0.757
0.761
0.758
0.752
0.750
0.752
0.749
0.745
0.740
0.733
0.743
0.744
0.744
0.740
0.736
0.747
0.727
0.730
0.717
0.730
0.729
0.724
0.722
0.716
0.716
0.710
0.715
0.715
0.718
0.714
0.714
0.718
0.710
0.705
0.701
0.702
0.695
0.692
0.682
0.690
0.690
0.679
0.678
0.678
0.679
0.672
0.666
0.661
0.656
0.657
0.653
0.652
0.646
0.662
0.639
0.632
0.632
0.631
0.627
0.620
0.769
0.765
0.764
0.761
0.763
0.761
0.756
0.755
0.755
0.755
0.749
0.745
0.749
0.745
0.744
0.743
0.742
0.741
0.743
0.734
0.733
0.731
0.730
0.729
0.728
0.722
0.720
0.719
0.715
0.717
0.715
0.716
0.714
0.715
0.715
0.708
0.708
0.702
0.704
0.698
0.695
0.692
0.693
0.693
0.683
0.681
0.681
0.681
0.670
0.670
0.663
0.657
0.660
0.657
0.656
0.654
0.662
0.641
0.635
0.635
0.635
0.629
0.626
0.771
0.766
0.765
0.765
0.764
0.763
0.759
0.757
0.756
0.756
0.750
0.750
0.749
0.747
0.745
0.745
0.744
0.744
0.744
0.737
0.734
0.732
0.732
0.731
0.730
0.724
0.722
0.721
0.719
0.719
0.717
0.717
0.716
0.715
0.714
0.711
0.711
0.705
0.705
0.700
0.698
0.698
0.698
0.694
0.686
0.684
0.683
0.682
0.676
0.674
0.667
0.663
0.662
0.661
0.660
0.658
0.658
0.642
0.638
0.638
0.636
0.630
0.628
63
64
65
67
66
67
69
70
70
70
73
75
73
75
77
78
80
81
78
82
83
84
85
86
87
88
89
90
93
91
93
92
97
93
93
98
98
101
100
102
103
106
104
104
107
108
108
108
111
111
113
116
115
116
118
119
114
120
121
121
121
124
125
9
–3
2
1
–2
1
16
–1
2
–12
..
5
10
4
–8
–5
–4
–3
..
8
–5
3
–3
–7
–4
–4
3
1
10
..
5
–8
–1
–8
..
–2
–1
0
–2
–1
1
3
..
–3
1
4
2
–4
–3
0
2
0
1
2
–1
2
–8
–1
0
2
1
..
3
1.07
0.00
..
0.38
0.08
0.76
1.50
..
0.84
..
..
0.87
1.19
..
0.58
..
1.16
..
..
0.34
..
0.33
..
..
..
0.53
1.28
1.60
1.72
..
1.25
..
0.10
0.38
..
0.68
0.61
..
0.49
1.12
..
0.71
..
..
..
1.16
2.18
1.91
0.55
1.37
1.17
..
0.22
..
0.45
0.86
0.76
0.17
–0.22
0.28
..
..
0.82
1.01
0.58
..
0.85
0.50
0.79
1.27
–0.09
0.78
..
..
0.91
1.69
..
1.26
–0.19
1.10
..
..
1.03
–0.54
0.53
..
..
0.26
0.86
1.27
1.42
1.66
..
0.96
..
0.74
0.51
..
0.94
0.24
..
0.62
0.91
..
0.50
..
..
..
1.44
–0.40
1.30
0.73
0.21
1.04
–0.76
1.38
..
0.46
0.14
0.60
1.77
1.22
1.70
..
..
1.34
0.90
0.73
..
0.59
0.93
0.60
1.16
0.84
0.60
0.14
..
0.77
1.07
1.21
0.43
0.34
0.67
..
..
0.60
0.73
0.63
..
..
0.92
0.55
0.83
0.77
1.52
..
0.95
0.29
0.69
0.49
..
0.63
0.59
..
0.37
0.63
1.19
1.43
..
0.45
..
0.90
1.54
0.72
0.61
0.50
0.63
0.80
0.67
..
0.49
0.36
0.65
0.45
0.87
0.96
0.81
..
1.01
TABLE
2
TABLE 2
Human Development Index trends, 1980–2013 | 165
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0178.png
TABLE 2
HUMAN DEVELOPMENT INDEX TRENDS, 1980–2013
Human Development Index (HDI)
Value
HDI rank
TABLE
1980
1990
2000
2005
2008
2010
2011
2012
2013
HDI rank
Change
2012
Average annual HDI growth
(%)
2008–2013
a
1980–1990 1990–2000 2000–2013
2
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
..
0.550
..
0.461
0.399
..
0.483
..
..
0.369
..
0.251
0.423
0.340
0.542
0.422
0.336
..
..
0.286
0.356
0.446
0.477
..
0.328
0.291
0.391
..
..
..
0.437
0.323
..
..
0.377
0.347
0.443
0.333
0.293
0.287
0.331
0.405
0.352
0.230
..
0.377
0.300
..
0.270
..
0.208
..
0.246
..
0.230
..
..
0.276
..
0.295
0.336
0.191
0.607
0.577
..
0.507
0.459
..
0.491
..
0.610
0.431
..
0.403
0.502
0.395
0.553
0.407
0.382
..
..
0.388
0.402
0.471
0.538
..
0.347
0.238
0.440
..
0.390
..
0.488
0.363
..
..
0.354
0.367
0.493
0.384
0.310
0.342
0.342
0.404
0.413
0.296
..
0.380
0.334
..
0.283
..
0.232
..
0.216
..
0.291
..
..
0.263
..
0.310
0.319
0.218
0.586
0.556
0.465
0.558
0.526
..
0.554
..
0.529
0.483
..
0.466
0.487
0.473
0.501
0.423
0.453
0.495
0.476
0.449
0.454
0.455
0.498
0.377
0.421
0.329
0.433
..
0.427
0.453
0.428
0.423
0.475
..
0.376
0.433
0.443
0.413
0.392
0.391
0.385
0.430
0.433
0.341
..
0.393
0.383
0.284
0.341
0.339
0.309
..
0.285
..
0.290
..
..
0.297
0.301
0.314
0.274
0.262
0.605
0.570
0.505
0.584
0.569
..
0.585
..
0.572
0.527
..
0.536
0.511
0.511
0.525
0.471
0.494
0.520
0.517
0.477
0.504
0.479
0.498
0.446
0.472
0.391
0.457
0.466
0.462
0.470
0.412
0.441
0.483
0.464
0.419
0.455
0.437
0.451
0.429
0.432
0.423
0.442
0.447
0.396
0.412
0.407
0.414
0.339
0.368
0.335
0.359
0.387
0.343
0.366
0.319
0.321
..
0.329
0.324
0.327
0.292
0.293
0.617
0.598
0.579
0.604
0.588
0.608
0.599
..
0.591
0.554
..
0.564
0.544
0.533
0.548
0.505
0.515
0.537
0.543
0.501
0.536
0.508
0.518
0.490
0.500
0.432
0.477
0.483
0.471
0.487
0.422
0.467
0.506
0.474
0.451
0.466
0.456
0.474
0.458
0.454
0.447
0.447
0.458
0.430
0.438
0.427
0.432
0.394
0.395
0.374
0.385
0.397
0.366
0.377
0.362
0.349
..
0.346
0.338
0.344
0.307
0.309
0.614
0.610
0.606
0.612
0.603
0.617
0.604
0.599
0.596
0.570
0.569
0.571
0.556
0.549
0.565
0.530
0.539
0.543
0.559
0.527
0.526
0.522
0.527
0.504
0.514
0.453
0.493
0.492
0.484
0.494
0.459
0.479
0.489
0.479
0.464
0.475
0.472
0.483
0.472
0.467
0.463
0.460
0.462
0.453
0.452
0.439
0.440
0.409
0.406
0.393
0.398
0.401
0.380
0.380
0.381
0.367
0.373
0.353
0.349
0.355
0.319
0.323
0.618
0.616
0.606
0.615
0.612
0.618
0.608
0.599
0.600
0.581
0.579
0.575
0.566
0.560
0.549
0.543
0.549
0.548
0.553
0.533
0.531
0.527
0.530
0.521
0.517
0.463
0.498
0.496
0.497
0.495
0.473
0.484
0.494
0.483
0.478
0.475
0.476
0.483
0.477
0.471
0.468
0.467
0.466
0.458
0.461
0.443
0.436
0.422
0.411
0.402
0.405
0.402
0.384
0.387
0.384
0.376
0.377
0.360
0.365
0.361
0.323
0.328
0.621
0.620
0.616
0.616
0.614
0.617
0.611
0.606
0.603
0.583
0.580
0.579
0.571
0.565
0.561
0.554
0.554
0.556
0.556
0.537
0.535
0.531
0.529
0.524
0.520
0.502
0.501
0.500
0.499
0.496
0.484
0.490
0.489
0.486
0.484
0.485
0.481
0.484
0.480
0.473
0.472
0.470
0.469
0.466
0.465
0.448
0.438
0.429
0.411
0.407
0.406
0.396
0.389
0.391
0.386
0.385
0.380
0.368
0.370
0.365
0.333
0.335
0.628
0.624
0.620
0.617
0.617
0.616
0.614
0.607
0.607
0.586
0.584
0.584
0.573
0.569
0.564
0.561
0.558
0.558
0.556
0.540
0.537
0.535
0.530
0.526
0.524
0.506
0.504
0.504
0.500
0.498
0.492
0.491
0.491
0.488
0.488
0.487
0.486
0.485
0.484
0.476
0.473
0.473
0.471
0.468
0.467
0.452
0.441
0.435
0.414
0.412
0.407
0.396
0.393
0.392
0.389
0.388
0.381
0.374
0.372
0.341
0.338
0.337
126
127
129
129
131
128
132
133
134
135
136
137
138
139
140
143
143
141
141
145
146
147
148
149
150
151
152
153
154
155
160
156
157
158
160
159
163
160
164
165
166
167
168
169
170
171
172
173
174
175
176
177
179
178
180
181
182
184
183
185
187
186
–2
3
5
–2
3
–5
–3
..
–2
1
..
–1
1
3
–2
7
2
–1
–4
4
–1
–1
–5
2
0
17
2
1
2
–3
16
1
–10
–4
5
–2
0
–6
–4
–2
–1
–1
–8
1
–3
0
–4
2
0
3
0
–4
1
–2
0
0
..
0
1
–1
1
–1
..
0.48
..
0.95
1.41
..
0.17
..
..
1.58
..
4.83
1.73
1.51
0.19
–0.37
1.29
..
..
3.09
1.22
0.55
1.20
..
0.59
–2.01
1.19
..
..
..
1.12
1.19
..
..
–0.64
0.55
1.06
1.44
0.55
1.78
0.33
–0.03
1.61
2.56
..
0.10
1.08
..
0.46
..
1.14
..
–1.31
..
2.37
..
..
–0.49
..
0.50
–0.53
1.34
–0.34
–0.36
..
0.96
1.37
..
1.22
..
–1.42
1.15
..
1.47
–0.30
1.83
–0.98
0.39
1.71
..
..
1.47
1.21
–0.34
–0.77
..
1.94
3.31
–0.15
..
0.90
..
–1.30
1.53
..
..
0.59
1.67
–1.06
0.72
2.38
1.33
1.20
0.63
0.46
1.42
..
0.33
1.37
..
1.88
..
2.89
..
2.84
..
–0.03
..
..
1.23
..
0.13
–1.52
1.86
0.52
0.89
2.25
0.78
1.23
..
0.79
..
1.07
1.49
..
1.75
1.26
1.44
0.92
2.19
1.62
0.92
1.21
1.42
1.30
1.25
0.48
2.60
1.69
3.35
1.18
..
1.22
0.73
1.08
1.17
0.25
..
2.04
0.91
0.72
1.25
1.63
1.52
1.59
0.74
0.66
2.46
..
1.08
1.08
3.35
1.50
1.52
2.13
..
2.49
..
2.29
..
..
1.79
1.66
0.61
1.64
1.95
166
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0179.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Human Development Index (HDI)
Value
HDI rank
1980
1990
2000
2005
2008
2010
2011
2012
2013
HDI rank
Change
2012
Average annual HDI growth
(%)
2008–2013
a
1980–1990 1990–2000 2000–2013
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
..
..
..
..
..
..
..
..
0.757
0.534
0.420
0.345
0.492
0.457
..
0.579
0.382
0.382
0.319
0.545
0.559
..
..
..
..
..
..
..
..
0.798
0.593
0.474
0.367
0.551
0.517
0.651
0.627
0.438
0.399
0.345
0.587
0.597
..
..
..
..
..
..
..
..
0.849
0.643
0.528
0.403
0.611
0.595
0.665
0.683
0.491
0.421
0.391
0.613
0.639
..
..
..
..
..
..
..
..
0.870
0.682
0.565
0.444
0.644
0.641
0.700
0.705
0.533
0.452
0.429
0.637
0.667
..
..
..
..
..
..
..
..
0.879
0.710
0.587
0.471
0.664
0.671
0.716
0.726
0.560
0.477
0.457
0.658
0.685
..
..
..
..
..
..
..
..
0.885
0.723
0.601
0.479
0.675
0.688
0.726
0.734
0.573
0.488
0.472
0.662
0.693
..
..
..
..
..
..
..
..
0.887
0.729
0.609
0.486
0.678
0.695
0.733
0.737
0.582
0.495
0.480
0.663
0.698
..
..
..
..
..
..
..
..
0.889
0.733
0.612
0.490
0.681
0.699
0.735
0.739
0.586
0.499
0.484
0.663
0.700
0.890
0.735
0.614
0.493
0.682
0.703
0.738
0.740
0.588
0.502
0.487
0.665
0.702
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
..
..
..
..
..
..
..
..
0.52
1.04
1.22
0.64
1.14
1.23
..
0.79
1.37
0.44
0.79
0.75
0.66
..
..
..
..
..
..
..
..
0.62
0.81
1.09
0.95
1.05
1.42
0.21
0.87
1.16
0.52
1.26
0.43
0.67
..
..
..
..
..
..
..
..
0.37
1.04
1.17
1.56
0.85
1.29
0.80
0.62
1.39
1.37
1.70
0.62
0.73
TABLE
2
NOTES
a
A positive value indicates an improvement in
rank.
DEFINITIONS
Human Development Index (HDI):
A composite
index measuring average achievement in three basic
dimensions of human development—a long and
healthy life, knowledge and a decent standard of
living. See
Technical note 1
at http://hdr.undp.org for
details on how the HDI is calculated.
Average annual HDI growth:
A smoothed
annualized growth of the HDI in a given period,
calculated as the annual compound growth rate.
MAIN DATA SOURCES
Columns 1–9:
HDRO calculations based on data
from UNDESA (2013a), Barro and Lee (2013),
UNESCO Institute for Statistics (2013b), United
Nations Statistics Division (2014), World Bank (2014)
and IMF (2014).
Columns 10–14:
Calculated based on data in
columns 1–9.
TABLE 2
Human Development Index trends, 1980–2013 | 167
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0180.png
TABLE
3
Inequality-adjusted Human Development Index
Human
Development
Index (HDI)
Inequality-adjusted
HDI (IHDI)
Overall
loss (%)
2013
Difference
from HDI
rank
b
2013
Inequality-
Inequality-
Inequality-
Coefficient Inequality adjusted life Inequality adjusted Inequality adjusted
expectancy
education
income
of human
in life
in
in
index
index
inequality expectancy
education
a
index
income
a
Income inequality
Quintile
ratio
Palma
ratio
Gini
coefficient
Value
HDI rank
2013
Value
2013
Value
2013
(%)
2013
Value
2013
(%)
2013
c
Value
2013
(%)
2013
c
Value
2013
2003–2012 2003–2012 2003–2012
TABLE
3
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
58 Bulgaria
0.944
0.933
0.917
0.915
0.914
0.911
0.910
0.902
0.901
0.900
0.899
0.898
0.895
0.892
0.891
0.891
0.890
0.889
0.888
0.884
0.881
0.881
0.881
0.879
0.874
0.872
0.869
0.861
0.853
0.852
0.851
0.845
0.840
0.836
0.834
0.834
0.830
0.830
0.829
0.827
0.822
0.822
0.818
0.815
0.815
0.814
0.812
0.810
0.808
0.790
0.789
0.789
0.786
0.785
0.784
0.783
0.778
0.777
0.891
0.860
0.847
0.854
0.755
0.846
..
0.833
..
0.838
0.832
0.840
0.843
0.812
..
0.736
0.779
..
0.793
0.804
0.818
0.806
0.814
0.830
0.824
0.768
0.775
0.813
0.762
..
..
0.752
0.767
..
0.746
0.751
..
0.778
0.760
..
0.661
0.739
0.757
..
..
..
0.721
0.725
0.680
0.662
0.676
0.733
0.726
0.702
..
..
0.685
0.692
5.6
7.8
7.7
6.7
17.4
7.1
..
7.6
..
6.9
7.5
6.5
5.7
8.9
..
17.4
12.4
..
10.7
9.0
7.2
8.5
7.6
5.5
5.8
11.9
10.9
5.6
10.6
..
..
11.0
8.7
..
10.6
9.9
..
6.3
8.3
..
19.6
10.1
7.4
..
..
..
11.2
10.6
15.8
16.1
14.3
7.2
7.6
10.5
..
..
12.0
11.0
0
0
–1
1
–23
1
..
–2
..
0
–1
3
5
–4
..
–20
–6
..
–4
–2
4
0
3
9
9
–1
1
9
0
..
..
–3
3
..
–3
–2
..
9
5
..
–16
0
7
..
..
..
–2
0
–4
–8
–3
5
6
4
..
..
3
5
5.5
7.5
7.6
6.6
16.2
7.0
..
7.5
..
6.8
7.4
6.4
5.6
8.6
..
16.8
12.2
..
10.4
8.9
7.1
8.5
7.5
5.5
5.7
11.6
10.5
5.5
10.5
..
..
10.9
8.5
..
10.4
9.7
..
6.2
8.2
..
18.5
9.8
7.3
..
..
..
11.1
10.3
15.3
15.7
14.0
7.1
7.5
10.4
..
..
11.6
10.8
3.4
4.2
3.9
3.9
6.2
3.7
4.8
4.6
2.8
4.0
3.7
3.1
2.8
4.5
2.8
3.9
3.2
..
3.8
4.0
3.7
3.9
3.3
3.5
3.8
3.4
3.9
3.7
4.0
4.4
6.0
3.7
5.6
8.7
6.6
5.7
..
5.6
4.8
5.5
5.9
3.9
5.4
6.3
5.1
7.2
5.2
7.6
9.3
9.2
9.4
7.6
6.8
8.8
10.1
7.0
9.8
7.9
0.914
0.921
0.926
0.902
0.851
0.900
0.895
0.902
0.932
0.877
0.899
0.922
0.928
0.890
0.948
0.910
0.947
..
0.915
0.913
0.906
0.895
0.901
0.899
0.882
0.927
0.918
0.855
0.898
0.861
0.844
0.887
0.791
0.779
0.749
0.818
..
0.805
0.875
0.826
0.868
0.886
0.795
0.816
0.865
0.775
0.832
0.741
0.786
0.799
0.770
0.779
0.716
0.755
0.765
0.809
0.666
0.759
2.4
1.8
5.8
4.1
6.7
2.4
..
4.0
..
3.1
5.2
3.6
2.5
2.6
..
28.1
19.8
..
7.9
8.6
3.7
9.2
6.0
2.1
2.7
11.7
5.4
1.4
11.3
..
..
14.0
2.5
..
6.1
5.6
..
1.5
5.7
..
13.7
5.7
3.5
..
11.0
..
10.4
3.6
8.6
10.9
8.0
2.5
4.8
5.0
..
..
2.1
5.8
0.888
0.910
0.795
0.857
0.830
0.863
..
0.816
..
0.846
0.841
0.800
0.826
0.838
..
0.622
0.648
..
0.786
0.745
0.765
0.738
0.716
0.798
0.840
0.697
0.751
0.854
0.707
..
..
0.668
0.837
..
0.823
0.779
..
0.790
0.691
..
0.644
0.686
0.777
..
0.661
..
0.690
0.784
0.716
0.635
0.657
0.754
0.781
0.710
..
..
0.764
0.706
10.7
16.6
13.2
11.8
35.6
14.8
..
13.9
..
13.3
13.3
12.4
11.6
18.8
..
18.4
13.5
..
19.6
14.2
13.8
12.3
13.1
10.8
10.6
19.8
22.1
11.3
16.2
..
..
14.9
17.4
..
18.6
17.9
..
11.5
14.1
..
36.0
19.9
13.1
..
..
..
17.6
19.8
28.1
27.1
24.5
11.3
11.1
17.3
..
..
22.9
18.8
0.871
0.760
0.824
0.806
0.609
0.781
..
0.785
..
0.794
0.761
0.803
0.783
0.719
..
0.704
0.772
..
0.693
0.765
0.789
0.792
0.837
0.798
0.755
0.701
0.673
0.737
0.697
..
..
0.719
0.681
..
0.673
0.666
..
0.740
0.727
..
0.516
0.664
0.703
..
..
..
0.653
0.654
0.560
0.573
0.612
0.669
0.685
0.645
..
..
0.631
0.618
..
..
..
5.1
..
..
..
..
..
..
..
..
..
7.2
..
..
..
..
..
..
..
..
..
..
4.8
..
..
..
..
..
13.3
..
6.4
..
6.7
5.2
..
3.6
..
..
13.5
..
4.8
..
..
..
5.2
6.0
11.3
10.3
..
4.3
3.8
4.1
..
..
7.3
4.3
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
1.6
1.3
..
0.9
..
..
3.5
..
1.2
..
..
..
1.4
1.4
2.4
2.5
..
1.0
0.9
1.0
..
..
1.9
1.0
25.8
..
33.7
30.9
40.8
28.3
..
32.6
..
..
34.3
25.0
..
36.0
..
..
..
..
39.2
..
29.2
33.0
30.8
26.9
31.2
36.0
34.7
..
34.3
..
41.1
..
36.0
..
37.6
32.7
..
26.0
..
..
52.1
..
31.2
..
..
..
33.7
34.8
44.5
45.3
..
28.6
26.5
27.4
..
..
40.1
28.2
168
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0181.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Human
Development
Index (HDI)
Inequality-adjusted
HDI (IHDI)
Overall
loss (%)
2013
Difference
from HDI
rank
b
2013
Inequality-
Inequality-
Inequality-
Coefficient Inequality adjusted life Inequality adjusted Inequality adjusted
expectancy
education
income
of human
in life
in
in
index
index
inequality expectancy
education
a
index
income
a
Income inequality
Quintile
ratio
Palma
ratio
Gini
coefficient
Value
HDI rank
2013
Value
2013
Value
2013
(%)
2013
Value
2013
(%)
2013
c
Value
2013
(%)
2013
c
Value
2013
2003–2012 2003–2012 2003–2012
59 Barbados
60 Palau
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
116 Uzbekistan
117 Philippines
0.776
0.775
0.774
0.773
0.771
0.766
0.765
0.765
0.764
0.763
0.759
0.757
0.756
0.756
0.750
0.750
0.749
0.747
0.745
0.745
0.744
0.744
0.744
0.737
0.734
0.732
0.732
0.731
0.730
0.724
0.722
0.721
0.719
0.719
0.717
0.717
0.716
0.715
0.714
0.711
0.711
0.705
0.705
0.700
0.698
0.698
0.698
0.694
0.686
0.684
0.683
0.682
0.676
0.674
0.667
0.663
0.662
0.661
0.660
..
..
..
..
0.662
0.649
0.606
0.596
0.613
0.611
0.639
0.667
0.583
..
..
0.643
0.498
0.659
0.607
0.663
0.542
0.636
..
0.562
0.667
..
0.633
0.653
0.655
0.613
0.573
..
..
..
..
..
0.620
0.579
..
0.521
0.549
0.534
..
0.535
0.521
0.618
..
..
0.606
0.553
0.422
0.518
0.513
0.512
0.470
0.582
0.485
0.556
0.540
..
..
..
..
14.2
15.2
20.8
22.1
19.7
19.9
15.8
11.9
22.9
..
..
14.3
33.6
11.8
18.6
10.9
27.0
14.5
..
23.7
9.2
..
13.6
10.6
10.4
15.3
20.7
..
..
..
..
..
13.4
19.0
..
26.7
22.7
24.2
..
23.6
25.4
11.5
..
..
11.7
19.2
38.2
24.0
24.1
24.0
29.6
12.2
26.7
15.8
18.1
..
..
..
..
–2
–6
–17
–18
–10
–11
–3
9
–13
..
..
1
–34
7
–5
12
–16
4
..
–9
18
..
7
13
15
6
–2
..
..
..
..
..
11
1
..
–10
–3
–6
..
–4
–7
16
..
..
13
5
–21
–5
–5
–5
–10
16
–7
14
10
..
..
..
..
14.1
15.0
20.3
21.4
19.4
19.1
15.6
11.8
22.3
..
..
14.2
32.1
11.5
18.5
10.9
26.3
14.0
..
23.4
9.1
..
13.3
10.4
10.2
15.1
20.0
..
..
..
..
..
13.4
18.6
..
25.7
22.4
23.5
..
23.4
24.2
11.4
..
..
11.7
19.1
36.5
22.8
23.7
24.0
29.4
12.0
26.2
15.3
18.0
8.1
..
8.0
4.9
9.2
16.4
6.7
12.1
12.2
7.3
11.0
16.7
10.9
7.9
..
8.3
12.5
21.7
11.9
8.5
14.5
12.9
8.4
13.9
10.4
11.4
7.6
6.7
12.7
12.3
9.8
10.6
9.8
12.9
16.7
..
9.9
15.0
9.9
13.5
13.4
13.6
13.7
16.9
8.1
16.6
26.0
13.3
13.1
16.4
21.9
13.4
19.2
28.0
24.5
11.0
14.5
24.3
15.2
0.783
..
0.792
0.805
0.749
0.641
0.861
0.778
0.738
0.855
0.757
0.596
0.788
0.754
..
0.766
0.728
0.611
0.730
0.761
0.709
0.728
0.744
0.726
0.669
0.734
0.785
0.809
0.733
0.672
0.755
0.768
0.768
0.703
0.654
..
0.796
0.700
0.760
0.719
0.752
0.678
0.699
0.683
0.819
0.610
0.517
0.709
0.711
0.654
0.533
0.682
0.650
0.482
0.549
0.670
0.692
0.562
0.635
..
12.0
..
..
13.2
6.6
24.1
16.3
17.6
15.7
14.1
5.9
21.4
..
..
14.6
37.3
8.3
22.4
10.7
24.7
3.3
..
25.6
6.1
..
10.6
5.2
3.7
10.5
16.1
..
..
..
..
..
11.9
10.6
..
22.1
21.6
19.5
..
24.0
41.2
5.2
..
..
6.9
23.2
32.1
40.9
17.2
23.5
27.6
6.1
30.2
1.4
13.5
..
0.692
..
..
0.623
0.654
0.479
0.550
0.562
0.551
0.560
0.717
0.501
..
..
0.630
0.429
0.642
0.543
0.621
0.498
0.745
..
0.494
0.747
..
0.574
0.621
0.675
0.686
0.510
..
..
..
..
..
0.536
0.598
..
0.469
0.466
0.474
..
0.449
0.322
0.658
..
..
0.617
0.463
0.420
0.339
0.486
0.451
0.488
0.614
0.386
0.642
0.528
..
23.0
..
..
19.8
21.9
30.0
35.8
28.4
34.3
21.8
12.7
34.6
..
..
19.6
46.6
4.5
21.1
13.5
39.7
25.9
..
30.6
10.9
37.9
21.8
19.2
14.3
22.6
34.0
..
29.5
..
..
..
18.3
30.1
..
41.5
32.1
37.3
..
29.3
23.2
12.3
..
..
15.0
17.7
55.5
14.2
34.6
20.4
36.1
18.9
34.0
20.1
25.2
..
0.565
..
..
0.621
0.653
0.538
0.494
0.556
0.483
0.616
0.695
0.500
..
..
0.550
0.395
0.730
0.564
0.618
0.452
0.474
..
0.495
0.593
0.426
0.563
0.555
0.567
0.500
0.488
..
0.505
..
..
..
0.558
0.465
..
0.420
0.472
0.475
..
0.500
0.535
0.588
..
..
0.507
0.559
0.336
0.602
0.428
0.617
0.388
0.480
0.427
0.478
0.470
..
..
..
11.3
..
..
..
17.1
11.5
14.5
8.3
4.2
10.7
18.8
..
5.8
7.0
5.3
5.7
4.6
20.6
9.5
..
13.5
3.6
17.6
10.0
6.5
4.6
8.0
6.9
6.4
10.1
..
..
..
5.3
9.6
..
20.1
12.5
17.9
..
11.3
6.8
6.2
..
..
5.8
6.3
..
4.4
17.3
7.8
27.8
5.3
14.3
6.2
8.3
..
..
..
2.6
..
..
..
3.6
2.4
3.3
1.9
1.1
2.7
6.4
..
1.6
1.7
1.4
1.5
1.1
4.3
2.1
..
2.9
0.9
..
2.3
1.5
1.2
2.2
1.8
1.5
2.1
..
..
..
1.4
..
..
4.5
3.1
..
..
2.7
..
1.6
..
..
1.5
1.7
..
1.2
3.7
2.0
4.8
1.3
3.0
1.6
2.2
..
..
..
46.2
..
..
..
51.9
44.8
50.7
40.0
29.0
47.2
65.8
..
36.4
38.3
33.7
35.4
29.6
54.7
42.1
..
48.1
25.6
53.1
43.6
36.2
31.3
42.8
39.4
36.1
42.1
..
..
..
34.5
45.5
..
55.9
49.3
52.9
..
47.2
37.4
36.5
..
..
35.5
38.1
..
30.8
52.4
41.5
56.3
33.0
48.3
36.7
43.0
TABLE
3
TABLE 3
Inequality-adjusted Human Development Index | 169
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0182.png
TABLE 3
INEQUALITY-ADJUSTED HUMAN DEVELOPMENT INDEX
Human
Development
Index (HDI)
Inequality-adjusted
HDI (IHDI)
Overall
loss (%)
2013
Difference
from HDI
rank
b
2013
Inequality-
Inequality-
Inequality-
Coefficient Inequality adjusted life Inequality adjusted Inequality adjusted
expectancy
education
income
of human
in life
in
in
index
index
inequality expectancy
education
a
index
income
a
Income inequality
Quintile
ratio
Palma
ratio
Gini
coefficient
Value
HDI rank
2013
Value
2013
Value
2013
(%)
2013
Value
2013
(%)
2013
c
Value
2013
(%)
2013
c
Value
2013
2003–2012 2003–2012 2003–2012
TABLE
3
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
0.658
0.658
0.642
0.638
0.638
0.636
0.630
0.628
0.628
0.624
0.620
0.617
0.617
0.616
0.614
0.607
0.607
0.586
0.584
0.584
0.573
0.569
0.564
0.561
0.558
0.558
0.556
0.540
0.537
0.535
0.530
0.526
0.524
0.506
0.504
0.504
0.500
0.498
0.492
0.491
0.491
0.488
0.488
0.487
0.486
0.485
0.484
0.476
0.473
0.473
0.471
0.468
0.467
0.452
0.441
0.435
0.414
0.412
0.407
..
0.518
0.505
0.522
0.543
0.511
..
0.422
0.519
0.352
0.430
0.418
0.433
..
0.452
0.416
0.491
0.418
0.465
0.440
0.394
0.430
0.391
0.365
0.396
0.384
..
0.384
0.375
0.360
0.354
0.295
..
0.338
0.339
0.300
0.336
0.346
0.358
..
0.374
..
0.356
0.315
0.313
0.326
0.335
0.311
..
0.317
0.285
0.321
0.306
0.279
..
0.307
0.282
0.273
..
..
21.2
21.4
18.2
14.9
19.7
..
32.8
17.2
43.6
30.7
32.2
29.7
..
26.4
31.5
19.2
28.6
20.4
24.7
31.3
24.5
30.7
35.0
29.1
31.2
..
28.8
30.1
32.8
33.3
44.0
..
33.2
32.8
40.3
32.8
30.5
27.2
..
23.8
..
27.1
35.3
35.6
32.9
30.8
34.6
..
32.9
39.5
31.4
34.6
38.3
..
29.4
31.9
33.8
..
..
4
0
10
15
4
..
–8
10
–22
–3
–6
0
..
4
–4
9
0
9
7
–1
8
0
–4
4
0
..
3
2
0
–2
–17
..
–4
–2
–14
–2
2
7
..
11
..
8
–2
–2
3
5
0
..
4
–3
7
2
–2
..
5
1
–1
..
..
20.8
21.2
18.0
14.9
19.4
..
32.0
16.9
39.3
29.4
31.1
28.5
..
25.8
30.1
18.8
27.7
20.2
24.6
31.2
24.1
30.6
34.5
28.7
30.4
..
27.8
28.7
32.7
33.1
43.6
..
33.1
32.4
40.2
31.7
30.3
26.8
..
23.8
..
26.9
34.6
34.9
32.3
30.8
34.2
..
32.6
38.9
30.0
33.7
37.9
..
28.0
31.6
32.8
..
25.7
12.6
17.6
19.2
12.1
12.0
19.8
17.4
20.0
21.7
22.8
17.0
16.8
15.4
13.2
20.6
29.3
25.0
22.2
25.3
30.8
21.5
36.0
37.2
20.1
26.9
44.4
21.1
29.9
31.5
35.0
46.2
27.1
30.2
39.4
40.8
30.3
24.8
26.8
26.5
22.3
34.2
30.4
36.6
33.5
29.5
33.8
37.0
32.8
36.8
27.9
34.3
32.5
40.2
34.8
30.2
40.0
33.1
45.6
0.422
0.734
0.626
0.575
0.757
0.746
0.604
0.662
0.585
0.536
0.565
0.687
0.652
0.672
0.732
0.597
0.514
0.536
0.578
0.597
0.438
0.583
0.382
0.368
0.623
0.521
0.283
0.588
0.502
0.440
0.290
0.264
0.507
0.473
0.327
0.296
0.462
0.517
0.449
0.480
0.570
0.414
0.445
0.405
0.301
0.471
0.399
0.381
0.435
0.355
0.478
0.414
0.434
0.283
0.389
0.469
0.326
0.417
0.293
18.1
31.5
29.8
10.5
18.0
18.2
..
36.1
6.6
27.8
47.6
29.6
45.8
..
33.3
21.4
12.2
42.1
13.3
28.3
35.6
34.1
25.4
23.8
37.8
20.0
..
44.0
45.2
30.7
26.8
34.6
19.4
29.4
34.8
45.2
47.2
30.1
17.8
11.5
22.8
47.4
29.5
45.9
24.3
44.6
31.2
42.0
..
37.6
40.4
45.0
47.0
45.4
..
44.3
30.2
46.4
36.9
0.569
0.379
0.328
0.521
0.421
0.395
..
0.309
0.613
0.376
0.248
0.356
0.254
..
0.323
0.473
0.561
0.274
0.365
0.355
0.356
0.287
0.381
0.451
0.278
0.375
..
0.253
0.204
0.357
0.404
0.310
0.299
0.338
0.317
0.233
0.179
0.320
0.411
0.333
0.313
0.237
0.300
0.191
0.382
0.204
0.329
0.240
..
0.321
0.223
0.201
0.162
0.213
..
0.176
0.307
0.197
0.193
..
18.3
16.1
24.4
14.6
28.0
63.1
42.5
24.1
68.3
17.8
46.8
23.0
18.5
31.0
48.4
15.0
16.1
25.1
20.3
27.2
16.8
30.3
42.6
28.3
44.2
..
18.3
11.0
36.0
37.6
50.0
..
39.6
23.1
34.5
17.6
36.1
35.8
..
26.3
..
20.9
21.2
47.0
22.7
27.3
23.6
..
23.5
48.4
10.8
21.7
28.1
26.9
9.5
24.6
19.0
..
..
0.500
0.626
0.474
0.502
0.452
0.201
0.367
0.391
0.216
0.568
0.299
0.493
0.404
0.391
0.255
0.409
0.500
0.477
0.401
0.392
0.474
0.410
0.292
0.357
0.290
..
0.381
0.516
0.297
0.378
0.313
..
0.241
0.377
0.394
0.457
0.250
0.249
..
0.293
..
0.339
0.404
0.267
0.359
0.285
0.329
..
0.280
0.218
0.397
0.406
0.361
0.303
0.351
0.224
0.247
..
25.3
5.7
4.6
..
5.9
..
..
19.6
5.4
21.8
..
29.7
7.3
..
7.6
..
4.7
5.0
6.8
5.6
9.3
5.9
10.7
17.4
4.7
..
..
5.0
4.2
11.0
14.0
9.0
..
11.0
6.9
12.2
6.3
9.3
..
..
..
26.7
6.6
7.8
19.0
7.7
8.7
6.6
6.2
7.6
..
4.0
..
8.5
11.0
5.3
8.9
7.0
5.2
7.1
..
1.2
..
1.5
..
..
4.5
1.3
..
..
5.2
2.0
..
1.9
..
1.2
1.4
1.7
1.5
2.2
1.6
2.8
4.8
1.3
..
..
1.3
1.2
2.8
3.5
2.2
..
3.2
1.8
3.0
1.7
2.3
..
..
..
..
1.7
1.9
3.9
1.9
2.3
1.8
1.4
1.8
..
1.0
..
2.0
2.8
1.4
2.3
1.7
1.3
63.1
35.8
30.9
..
35.6
50.5
61.1
55.9
33.4
63.9
..
57.0
40.9
..
40.5
..
30.8
33.9
38.1
36.0
42.8
36.7
47.3
57.5
32.1
50.8
..
32.8
30.0
47.7
51.5
42.7
..
50.8
38.9
48.8
37.7
44.1
..
..
..
64.3
37.6
40.5
52.5
40.3
44.3
38.6
35.3
39.3
59.2
27.8
40.0
41.5
47.3
33.6
43.9
38.2
33.0
170
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0183.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Human
Development
Index (HDI)
Inequality-adjusted
HDI (IHDI)
Overall
loss (%)
2013
Difference
from HDI
rank
b
2013
Inequality-
Inequality-
Inequality-
Coefficient Inequality adjusted life Inequality adjusted Inequality adjusted
expectancy
education
income
of human
in life
in
in
index
index
inequality expectancy
education
a
index
income
a
Income inequality
Quintile
ratio
Palma
ratio
Gini
coefficient
Value
HDI rank
2013
Value
2013
Value
2013
(%)
2013
Value
2013
(%)
2013
c
Value
2013
(%)
2013
c
Value
2013
2003–2012 2003–2012 2003–2012
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
NOTES
a
See http://hdr.undp.org for the list of surveys used
to estimate inequalities.
b
Based on countries for which the Inequality-
adjusted Human Development Index is calculated.
c
Data refer to 2013 or the most recent year available.
DEFINITIONS
Human Development Index (HDI):
A composite
index measuring average achievement in three basic
dimensions of human development—a long and
healthy life, knowledge and a decent standard of
living. See
Technical note 1
at http://hdr.undp.org for
details on how the HDI is calculated.
Inequality-adjusted HDI (IHDI):
HDI value adjusted
for inequalities in the three basic dimensions of
human development. See
Technical note 2
at http://
hdr.undp.org for details on how the IHDI is calculated.
Overall loss:
Percentage difference between the
IHDI and the HDI.
Difference from HDI rank:
Difference in ranks on
the IHDI and the HDI, calculated only for countries for
which the IHDI is calculated.
Coefficient of human inequality:
Average inequality
in three basic dimensions of human development. See
Technical note 2
at http://hdr.undp.org.
0.396
0.393
0.392
0.389
0.388
0.381
0.374
0.372
0.341
0.338
0.337
..
..
..
..
..
..
..
..
0.890
0.735
0.614
0.493
0.682
0.703
0.738
0.740
0.588
0.502
0.487
0.665
0.702
0.239
0.277
0.243
0.257
0.252
..
0.208
0.232
0.203
0.211
0.228
..
..
..
..
..
..
..
..
0.780
0.590
0.457
0.332
0.512
0.564
0.639
0.559
0.419
0.334
0.336
0.497
0.541
39.6
29.5
38.0
33.9
35.0
..
44.3
37.8
40.4
37.6
32.4
..
..
..
..
..
..
..
..
12.3
19.7
25.6
32.6
24.9
19.7
13.3
24.5
28.7
33.6
31.0
25.3
22.9
–4
2
–1
2
2
..
–3
1
–2
1
3
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
39.4
28.9
37.8
32.6
34.6
..
43.6
36.8
39.9
36.8
31.8
..
..
..
..
..
..
..
..
12.0
19.3
25.2
32.4
24.2
19.5
13.2
23.9
28.0
33.5
30.9
24.9
22.8
45.3
40.2
40.3
43.6
41.1
24.7
51.2
46.1
45.7
49.9
37.9
15.4
..
..
..
..
42.1
40.8
..
4.9
10.7
21.9
35.0
17.4
11.7
14.2
13.2
24.4
36.6
32.3
18.5
17.3
0.289
0.278
0.332
0.296
0.329
0.496
0.192
0.259
0.252
0.231
0.367
0.651
..
..
..
..
0.312
0.321
..
0.881
0.749
0.575
0.394
0.639
0.734
0.676
0.733
0.549
0.359
0.433
0.626
0.647
40.3
18.2
42.0
41.0
38.5
..
48.7
43.4
45.9
29.4
39.5
..
..
..
..
..
..
..
10.5
8.7
17.4
35.1
38.2
38.0
19.7
8.6
22.2
41.6
35.7
35.6
22.1
27.0
0.194
0.304
0.171
0.218
0.154
..
0.156
0.145
0.172
0.262
0.120
..
..
..
..
..
..
..
..
0.769
0.531
0.331
0.241
0.334
0.477
0.639
0.502
0.274
0.276
0.253
0.433
0.433
32.5
28.4
31.1
13.2
24.2
..
31.0
21.0
28.1
31.2
17.9
..
..
..
..
..
..
..
..
22.4
29.9
18.6
23.9
17.3
27.0
16.9
36.3
18.0
28.1
24.7
34.2
24.1
0.244
0.250
0.253
0.264
0.318
..
0.302
0.332
0.192
0.155
0.269
..
..
..
..
..
..
..
..
0.702
0.517
0.502
0.387
0.629
0.513
0.605
0.474
0.489
0.375
0.348
0.452
0.564
IHDI is calculated.
..
9.8
7.3
4.8
7.0
..
5.6
7.4
18.0
9.3
5.3
..
70.0
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
..
2.5
1.8
1.3
1.9
..
1.5
1.8
4.5
2.4
1.4
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
35.5
45.7
39.4
33.3
39.8
..
35.4
39.8
56.3
44.4
34.6
..
..
..
..
..
..
45.5
..
—
—
—
—
—
—
—
—
—
—
—
—
—
TABLE
3
Inequality in life expectancy:
Inequality in
distribution of expected length of life based on
data from life tables estimated using the Atkinson
inequality index.
Inequality-adjusted life expectancy index:
The
HDI life expectancy index adjusted for inequality in
distribution of expected length of life based on data
from life tables listed in
Main data sources.
Inequality in education:
Inequality in distribution
of years of schooling based on data from household
surveys estimated using the Atkinson inequality
index.
Inequality-adjusted education index:
The HDI
education index adjusted for inequality in distribution
of years of schooling based on data from household
surveys listed in
Main data sources.
Inequality in income:
Inequality in income
distribution based on data from household surveys
estimated using the Atkinson inequality index.
Inequality-adjusted income index:
The HDI
income index adjusted for inequality in income
distribution based on data from household surveys
listed in
Main data sources.
Quintile ratio:
Ratio of the average income of the
richest 20% of the population to the average income
of the poorest 20% of the population.
Palma ratio:
Ratio of the richest 10% of the
population’s share of gross national income (GNI)
divided by the poorest 40%’s share. It is based on the
work of Palma (2011), who found that middle class
incomes almost always account for about half of GNI
and that the other half is split between the richest
10% and poorest 40%, though their shares vary
considerably across countries.
Gini coefficient:
Measure of the deviation of
the distribution of income among individuals or
households within a country from a perfectly equal
distribution. A value of 0 represents absolute
equality, a value of 100 absolute inequality.
MAIN DATA SOURCES
Column 1:
HDRO calculations based on data from
UNDESA (2013a), Barro and Lee (2013), UNESCO
Institute for Statistics (2013b), United Nations
Statistics Division (2014), World Bank (2014) and
IMF (2014).
Column 2:
Calculated as the geometric mean of the
values in columns 7, 9 and 11 using the methodology
in
Technical note 2
(available at http://hdr.undp.org).
Column 3:
Calculated based on data in columns 1 and 2.
Column 4:
Calculated based on data in column 2 and
recalculated HDI ranks for countries for which the
Column 5:
Calculated as the arithmetic mean of the
values in columns 6, 8 and 10 using the methodology
in
Technical note 2
(available at http://hdr.undp.org).
Column 6:
Calculated based on abridged life tables
from UNDESA (2013a).
Column 7:
Calculated based on data in column 6 and
the unadjusted life expectancy index.
Columns 8 and 10:
Calculated based on data from
the Luxembourg Income Study database, Eurostat’s
European Union Statistics on Income and Living
Conditions, the World Bank’s International Income
Distribution Database, United Nations Children’s
Fund Multiple Indicator Cluster Surveys, and ICF
Macro Demographic and Health Surveys using the
methodology in
Technical note 2
(available at http://
hdr.undp.org).
Column 9:
Calculated based on data in column 8 and
the unadjusted education index.
Column 11:
Calculated based on data in column 10
and the unadjusted income index.
Columns 12 and 13:
HDRO calculations based on
data from World Bank (2013a).
Column 14:
World Bank 2013a.
TABLE 3
Inequality-adjusted Human Development Index | 171
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0184.png
TABLE
4
Gender Inequality Index
Gender Inequality
Index
Maternal
mortality ratio
(deaths per 100,000
live births)
2010
Adolescent
birth rate
(births per 1,000 women
ages 15–19)
2010/2015
a
Share of seats
in parliament
Population with at least some
secondary education
(% ages 25 and older)
(% held by women)
2013
Female
2005–2012
b
Labour force participation rate
(% ages 15 and older)
Female
b
Value
HDI rank
2013
Rank
2013
Male
2005–2012
Male
2012
2012
TABLE
4
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
58 Bulgaria
59 Barbados
60 Palau
0.068
0.113
0.030
0.057
0.262
0.046
0.185
0.136
0.090
0.056
0.115
0.054
0.088
0.193
..
0.101
0.138
..
0.101
0.080
0.056
0.068
0.154
0.075
0.021
0.067
0.100
0.087
0.146
..
0.524
0.136
0.154
0.321
0.116
0.139
..
0.164
0.220
0.244
0.355
0.116
0.247
0.253
0.350
0.288
0.172
0.222
0.381
0.364
0.316
..
0.152
0.320
0.215
0.348
0.314
0.207
0.350
..
9
19
2
7
47
3
34
23
15
5
20
4
14
35
..
17
25
..
17
12
5
9
29
11
1
8
16
13
27
..
113
23
29
56
21
26
..
32
41
43
68
21
45
46
66
50
33
42
74
70
53
..
28
54
40
64
52
38
66
..
7
7
8
6
21
7
15
12
3
12
6
4
5
12
..
16
5
..
7
8
4
8
20
5
12
4
6
5
3
24
7
10
2
24
8
5
..
6
8
12
25
8
21
20
73
14
17
34
77
29
47
8
4
27
58
32
34
11
51
..
7.8
12.1
1.9
6.2
31.0
3.8
25.3
14.5
6.0
5.1
8.2
6.5
11.5
25.8
3.3
2.2
5.4
..
7.8
5.7
4.1
6.7
8.3
9.2
0.6
4.0
10.6
4.9
11.9
23.0
9.5
5.5
16.8
10.2
10.6
12.2
..
15.9
18.2
27.6
55.3
12.6
12.1
13.8
43.1
14.5
12.7
13.5
54.4
58.3
28.5
15.2
20.6
31.0
2.5
10.6
25.7
35.9
48.4
..
39.6
29.2
27.2
37.8
18.2
32.4
32.2
28.0
24.2
39.1
19.5
44.7
39.7
22.6
..
15.7
10.8
20.0
22.5
25.1
28.7
38.9
21.7
42.5
24.6
30.6
35.2
20.6
21.0
..
0.1
f
10.7
20.8
19.9
24.1
21.8
50.0
18.7
14.3
17.5
13.9
28.7
8.8
18.8
48.9
6.2
23.8
23.0
37.7
12.3
16.7
17.3
29.5
11.6
16.5
9.6
12.1
24.6
21.6
10.3
97.4
94.3
c
95.0
87.7
95.1
96.3
95.0
100.0
74.1
95.5
d
80.5
86.5
91.0
99.8
72.2
77.0
e
87.0
..
84.4
78.0
100.0
77.5
100.0
d
100.0
95.8
71.2
66.8
99.9
59.5
66.6
e
66.7
72.2
100.0
d
60.5
89.1
79.4
49.5
99.1
68.6
73.1
73.3
47.7
97.9
d
74.4
e
73.9
e
55.6
85.0
98.9
57.0
e
54.4
91.2
e
84.2
87.0
86.1
55.6
e
47.2
89.6
93.0
89.5
e
..
96.7
94.6
c
96.6
90.5
94.8
97.0
95.3
100.0
81.0
96.6
d
78.6
87.3
91.6
99.9
79.2
89.1
e
85.8
..
87.3
83.2
100.0
82.9
100.0
d
100.0
98.0
80.5
73.1
99.7
67.0
61.2
e
59.0
79.6
100.0
d
70.3
94.3
85.5
49.3
99.5
78.2
61.3
76.4
48.2
98.7
d
80.4
e
80.4
e
56.3
93.6
99.0
54.9
e
50.3
87.6
e
94.7
92.2
92.0
44.0
e
57.1
92.5
95.7
87.6
e
..
61.5
58.8
61.2
79.9
56.8
53.5
62.1
61.6
59.0
59.1
52.7
60.2
70.6
55.7
51.6
49.9
48.1
..
58.1
50.9
54.6
46.9
50.7
56.0
52.3
39.4
52.6
50.1
44.2
52.9
50.8
55.8
56.0
18.2
55.8
48.9
..
51.0
38.0
46.6
49.0
55.4
44.7
39.4
43.3
43.4
44.8
54.5
47.3
55.5
69.3
..
49.9
48.5
30.0
28.6
57.0
47.8
65.9
..
69.5
71.9
75.3
87.3
69.3
66.4
73.9
71.2
77.5
67.5
67.9
68.1
77.3
68.8
68.0
72.0
70.4
..
69.5
61.8
67.7
59.4
64.9
64.3
63.5
59.4
66.5
67.8
62.6
75.6
95.6
70.8
68.7
75.5
66.3
64.8
..
68.7
66.5
91.0
74.6
67.2
59.9
87.2
70.1
82.8
58.5
67.1
75.0
76.8
79.3
..
62.7
64.7
76.4
81.8
71.4
58.8
76.7
..
172
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0185.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Gender Inequality
Index
Maternal
mortality ratio
(deaths per 100,000
live births)
2010
Adolescent
birth rate
(births per 1,000 women
ages 15–19)
2010/2015
a
Share of seats
in parliament
Population with at least some
secondary education
(% ages 25 and older)
Labour force participation rate
(% ages 15 and older)
Female
b
Value
HDI rank
2013
Rank
2013
(% held by women)
2013
Female
2005–2012
b
Male
2005–2012
Male
2012
2012
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
..
0.210
0.375
0.321
0.413
0.506
0.464
0.344
0.360
0.323
0.376
..
..
0.383
0.510
0.340
0.488
..
0.441
..
..
0.387
0.326
0.435
0.162
0.201
0.325
..
0.364
0.265
0.202
..
0.425
..
0.245
0.457
..
0.460
0.429
0.463
0.458
0.505
0.283
0.320
..
0.517
..
0.500
0.486
0.580
0.457
0.508
0.472
0.302
0.441
..
0.406
0.461
0.556
0.542
0.524
..
39
72
56
80
107
96
63
69
59
73
..
..
75
109
62
101
..
85
..
..
77
61
84
31
36
60
..
70
48
37
..
81
..
44
88
..
92
82
95
90
105
49
54
..
111
..
103
100
130
88
108
97
51
85
..
78
94
125
120
113
..
29
60
46
25
92
92
40
20
51
50
..
..
35
21
43
63
12
56
67
24
67
32
53
10
8
30
26
48
56
37
48
97
..
27
110
35
92
110
130
110
150
60
63
67
100
64
220
160
66
99
230
190
41
81
28
99
300
70
63
280
49.3
5.7
30.9
34.8
12.0
78.5
83.2
60.8
30.9
29.9
63.4
56.3
..
16.9
31.6
40.0
26.5
16.9
70.8
46.8
35.4
50.7
25.7
71.4
18.3
15.1
27.1
42.8
41.0
4.6
8.6
54.5
10.0
..
15.3
70.1
56.3
68.5
77.0
35.2
18.1
99.6
4.2
18.7
18.0
28.3
45.8
48.3
44.2
43.0
67.0
103.0
71.9
29.3
76.0
38.8
46.8
50.9
41.6
68.7
88.5
19.4
13.9
18.8
26.0
3.1
8.5
17.0
38.6
14.2
18.2
36.0
43.8
6.7
5.8
3.1
16.0
12.0
33.2
9.6
12.0
25.0
21.5
9.4
13.3
34.1
19.3
10.7
..
15.7
26.7
23.4
13.0
25.8
12.5
17.9
15.5
17.2
13.6
38.7
11.8
3.6
19.1
6.5
14.9
16.8
4.1
..
18.6
7.9
2.8
18.4
16.7
30.1
19.8
26.2
19.2
26.9
41.1
g
12.0
25.2
31.3
..
66.0
e
49.4
59.4
38.8
63.5
e
56.5
54.5
e
39.0
99.3
55.7
66.9
..
72.7
62.2
93.7
69.5
58.4
51.9
..
..
56.3
91.5
e
35.2
e
40.2
44.8
94.1
e
57.5
35.7
32.8
58.7
..
20.9
29.7
81.8
74.0
e
..
56.9
40.1
44.6
87.5
55.6
13.3
85.3
e
..
64.3
31.5
39.9
73.6
e
43.4
e
36.8
53.8
e
47.6
93.6
36.8
..
65.9
72.7
29.0
22.0
e
61.5
e
..
72.8
e
58.0
59.2
38.9
60.7
e
50.8
52.8
e
60.0
99.4
60.6
66.6
..
75.5
67.6
97.4
78.5
73.6
49.0
..
..
66.1
96.1
e
32.8
e
55.6
70.0
94.8
e
58.1
40.8
46.1
71.9
..
27.3
23.2
87.9
71.1
e
..
55.6
39.4
47.1
88.3
53.1
16.6
84.1
e
..
60.0
32.2
49.2
77.3
e
59.3
e
40.8
34.7
e
59.1
96.6
43.6
..
63.8
75.9
38.9
42.7
e
48.8
e
..
44.3
43.5
52.9
22.8
49.0
50.9
46.4
29.4
67.5
45.0
..
..
35.0
16.4
62.5
15.3
..
59.5
56.2
..
68.0
53.0
49.1
42.9
34.1
51.6
37.5
64.4
25.1
63.8
55.7
15.0
..
45.0
56.1
62.6
55.7
54.4
40.4
53.5
51.2
55.9
56.1
46.7
23.4
15.2
51.3
71.8
23.6
55.4
56.0
64.1
37.0
47.6
47.9
51.0
44.2
13.4
14.7
42.3
..
75.3
74.3
75.5
70.5
81.9
79.2
79.0
70.8
77.5
80.0
..
..
76.4
73.1
68.9
66.2
..
80.9
74.7
..
84.4
66.6
82.3
67.3
57.2
73.4
72.0
80.8
70.6
78.1
78.2
71.9
..
65.4
71.0
76.0
79.7
82.6
68.8
74.8
78.7
77.1
68.8
76.5
58.4
66.3
84.4
81.5
74.6
84.8
65.1
80.9
43.3
79.0
75.2
79.7
60.0
72.7
69.7
80.9
TABLE
4
TABLE 4
Gender Inequality Index | 173
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0186.png
TABLE 4
GENDER INEQUALITY INDEX
Gender Inequality
Index
Maternal
mortality ratio
(deaths per 100,000
live births)
2010
Adolescent
birth rate
(births per 1,000 women
ages 15–19)
2010/2015
a
Share of seats
in parliament
Population with at least some
secondary education
(% ages 25 and older)
Labour force participation rate
(% ages 15 and older)
Female
b
Value
HDI rank
2013
Rank
2013
(% held by women)
2013
Female
2005–2012
b
Male
2005–2012
Male
2012
2012
TABLE
4
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
0.322
..
..
0.523
0.348
0.450
..
0.482
0.460
..
0.458
..
0.383
0.563
0.495
0.505
0.549
0.534
0.617
0.617
0.529
..
..
0.479
0.563
0.548
0.529
..
0.430
0.410
0.622
..
0.733
..
0.516
0.617
..
..
0.553
0.644
0.557
0.537
0.529
0.614
0.628
0.579
0.599
0.705
..
0.645
0.624
0.547
0.591
0.655
0.673
..
0.657
..
0.501
0.607
..
58
..
..
112
64
87
..
99
92
..
90
..
75
127
102
105
123
118
135
135
115
..
..
98
127
122
115
..
83
79
138
..
152
..
110
135
..
..
124
142
126
119
115
134
140
129
132
150
..
143
139
121
131
145
148
..
146
..
104
133
..
59
79
100
120
71
200
300
100
100
110
95
..
65
200
180
250
350
470
560
440
240
70
240
170
260
360
320
450
200
340
690
630
200
240
570
230
93
280
460
510
620
370
310
350
730
300
350
460
200
400
360
350
460
770
540
790
490
610
800
300
240
29.0
70.6
18.6
97.2
29.3
54.9
52.2
84.0
35.8
44.8
100.8
16.6
42.8
32.8
40.9
44.3
58.4
65.0
126.7
125.4
80.6
65.1
112.6
73.7
27.3
93.6
72.0
170.2
12.1
33.6
115.8
119.6
47.0
122.8
60.3
62.1
64.9
51.1
122.7
73.3
89.4
94.4
126.6
90.2
84.0
91.5
42.0
86.8
18.6
130.3
115.8
78.4
144.8
117.4
175.6
99.3
137.8
131.0
30.3
115.4
65.3
24.4
20.8
0.1
13.3
23.3
25.0
38.5
19.5
11.0
0.1
40.2
8.7
17.5
10.9
6.9
18.1
h
10.9
25.0
9.6
11.5
19.7
18.2
18.8
33.2
19.7
19.9
21.9
34.1
4.6
51.9
16.1
6.6
0.7
15.8
35.1
2.7
2.0
3.0
36.0
19.2
26.8
42.7
35.0
8.4
24.1
15.4
3.5
27.6
12.7
10.4
7.5
25.5
22.3
11.7
10.2
14.0
39.2
..
34.9
15.7
22.0
59.4
..
..
21.9
94.5
33.0
e
..
28.0
20.1
e
..
30.8
e
..
89.9
26.6
e
34.0
9.9
45.2
22.9
e
43.8
e
25.7
e
30.8
e
..
..
17.9
e
19.3
25.3
49.9
e
..
18.0
e
7.4
e
21.1
e
..
7.6
e
..
48.8
6.8
e
..
..
5.6
e
8.0
e
21.9
7.2
22.9
11.2
e
12.8
e
15.3
e
22.5
e
5.8
e
..
13.7
e
16.9
e
7.8
10.4
15.7
e
7.7
..
1.5
e
..
5.2
e
0.9
..
71.2
..
..
23.2
96.8
34.0
e
..
25.8
36.3
e
..
44.7
e
..
95.0
50.4
e
34.5
22.2
64.7
36.8
e
48.7
e
44.2
e
39.3
e
..
..
39.9
e
46.1
31.4
46.1
e
..
17.6
e
8.0
e
34.9
e
..
24.4
e
..
62.0
14.1
e
..
..
9.2
e
20.8
e
19.8
15.4
33.5
25.6
e
18.2
e
45.1
e
36.3
e
34.0
e
..
29.9
e
31.4
e
18.2
20.4
39.2
e
15.1
..
6.0
e
..
9.3
e
3.2
..
72.8
51.1
..
49.1
55.7
75.2
24.7
42.5
43.0
61.5
47.0
..
58.7
28.8
66.4
78.9
67.2
76.3
68.4
73.2
57.3
44.9
80.6
54.3
24.4
62.0
43.8
63.1
85.7
86.5
63.6
48.1
25.2
86.8
83.2
70.5
53.4
35.0
88.1
28.6
58.8
65.9
75.9
67.5
31.2
80.7
60.6
15.7
36.1
52.2
72.2
78.2
84.7
58.2
50.6
68.1
26.3
65.5
83.2
77.1
79.9
81.9
83.5
..
88.2
79.0
82.2
51.1
82.9
57.4
80.3
80.1
..
76.9
80.9
76.9
86.5
71.2
78.9
72.9
85.7
84.1
77.5
92.3
63.2
82.9
72.2
71.3
76.9
82.9
85.5
76.7
63.5
71.8
90.6
89.7
74.0
79.1
80.2
90.2
79.0
73.3
88.0
79.3
78.3
76.0
81.2
70.8
79.7
67.3
81.5
83.0
89.4
81.3
64.7
81.4
78.5
75.8
78.3
81.8
90.1
89.8
174
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0187.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Gender Inequality
Index
Maternal
mortality ratio
(deaths per 100,000
live births)
2010
Adolescent
birth rate
(births per 1,000 women
ages 15–19)
2010/2015
a
Share of seats
in parliament
Population with at least some
secondary education
(% ages 25 and older)
Labour force participation rate
(% ages 15 and older)
Female
b
Value
HDI rank
2013
Rank
2013
(% held by women)
2013
Female
2005–2012
b
Male
2005–2012
Male
2012
2012
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
NOTES
a
Data are annual average of projected values for
2010–2015.
b
Data refer to the most recent year available
during the period specified.
c
Refers to population ages 25–64.
d
Refers to population ages 25–74.
e
Barro and Lee (2013) estimate for 2010 based on
data from the United Nations Educational, Scientific
and Cultural Organization’s Institute for Statistics.
f
For calculating the Gender Inequality Index, a
value of 0.1% was used.
g
Does not include the 36 special rotating
delegates appointed on an ad hoc basis.
h
Refers to 2012.
0.643
0.707
0.654
0.669
0.674
..
..
..
..
..
..
..
..
0.197
0.315
0.513
0.587
0.546
0.331
0.317
0.416
0.539
0.578
0.570
0.478
0.451
141
151
144
147
149
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
890
1,100
890
540
590
81
..
..
..
..
1,000
..
..
16
42
186
427
164
72
31
74
202
474
389
195
145
100.7
152.0
98.3
135.3
204.8
0.6
..
..
..
..
110.4
75.3
..
19.2
28.8
43.4
92.3
45.4
21.2
30.8
68.3
38.7
109.7
97.0
61.5
47.4
12.4
14.9
12.5
i
8.3
13.3
15.6
3.0
20.8
5.3
18.3
13.8
24.3
6.7
26.7
18.8
17.5
20.0
13.8
18.7
18.2
25.3
17.8
21.7
20.3
23.0
21.1
9.5
1.7
10.3
e
10.7
e
44.5
..
..
..
..
..
..
..
..
86.1
60.2
34.2
14.9
32.9
54.6
70.4
53.3
28.4
22.9
16.5
50.4
54.2
e
20.4
9.9
26.2
e
36.2
e
49.5
..
..
..
..
..
..
..
..
87.7
69.1
51.4
29.6
46.4
66.4
80.6
53.9
49.9
32.9
27.2
55.2
64.2
e
65.7
64.0
72.5
70.7
39.9
72.3
..
..
..
..
37.2
..
..
52.3
57.1
38.7
55.7
24.7
62.8
45.5
53.7
30.7
63.6
64.0
52.8
50.6
68.9
79.2
85.1
73.2
89.8
84.2
..
..
..
..
75.6
..
..
69.0
77.1
80.0
78.4
73.2
79.3
70.2
79.8
80.7
76.3
81.6
73.3
76.7
TABLE
4
i
Refers to an earlier year than that specified.
DEFINITIONS
Gender Inequality Index:
A composite measure
reflecting inequality in achievement between women
and men in three dimensions: reproductive health,
empowerment and the labour market. See
Technical
note 3
at http://hdr.undp.org for details on how the
Gender Inequality Index is calculated.
Maternal mortality ratio:
Number of deaths due to
pregnancy-related causes per 100,000 live births.
Adolescent birth rate:
Number of births to women
ages 15–19 per 1,000 women ages 15–19.
Share of seats in national parliament:
Proportion of seats held by women in the national
parliament, expressed as percentage of total seats.
For countries with bicameral legislative systems,
the share of seats is calculated based on both
houses.
Population with at least some secondary
education:
Percentage of the population ages 25
and older who have reached (but not necessarily
completed) a secondary level of education.
Labour force participation rate:
Proportion of
a country’s working-age population (ages 15 and
older) that engages in the labour market, either by
working or actively looking for work, expressed as a
percentage of the working-age population.
MAIN DATA SOURCES
Column 1:
HDRO calculations based on data from UN
Maternal Mortality Estimation Group (2013), UNDESA
(2013a), IPU (2013), Barro and Lee (2013), UNESCO
Institute for Statistics (2013b) and ILO (2013a).
Column 2:
Calculated based on data in column 1.
Column 3:
UN Maternal Mortality Estimation Group
2013.
Column 4:
UNDESA 2013a.
Column 5:
IPU 2013.
Columns 6 and 7:
UNESCO Institute for Statistics
2013b.
Columns 8 and 9:
ILO 2013a.
TABLE 4
Gender Inequality Index | 175
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0188.png
TABLE
5
Gender Development Index
Gender Development
Index
Ratio of
female to
male HDI
Human Development
Index (HDI)
Value
Rank
b
Life expectancy at birth
(years)
Mean years of schooling
(years)
Expected years
of schooling
(years)
Estimated gross national
income per capita
a
(2011 PPP $)
Female
2013
Male
2013
Female
2013
Male
2013
Female
2002–2012
c
Male
2002–2012
c
Female
2000–2012
c
Male
2000–2012
c
Female
2013
Male
2013
HDI rank
2013
2013
TABLE
5
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
58 Bulgaria
59 Barbados
60 Palau
0.997
0.975
0.953
0.968
0.995
0.962
0.971
0.986
0.967
0.989
0.965
1.004
0.982
0.993
0.969
0.940
0.951
..
0.984
0.989
0.935
0.977
0.961
1.006
1.006
0.962
0.985
0.969
0.959
0.981
0.979
0.940
1.042
0.897
1.036
1.010
..
1.000
0.954
0.958
0.962
0.970
0.998
0.961
0.962
0.987
0.987
1.033
1.001
1.015
..
..
1.021
0.973
0.931
..
1.038
0.994
1.021
..
5
40
76
51
7
61
47
24
52
17
56
6
30
13
49
85
79
..
29
17
91
38
66
8
8
61
25
49
69
31
32
85
70
112
58
14
..
1
75
70
61
48
4
66
61
22
22
52
2
25
..
..
32
43
93
..
61
8
32
..
0.940
0.920
0.895
0.899
0.911
0.892
0.896
0.893
0.878
0.895
0.881
0.898
0.883
0.887
0.874
0.860
0.863
..
0.879
0.878
0.834
0.866
0.861
0.881
0.876
0.852
0.861
0.844
0.833
0.839
0.838
0.817
0.856
0.773
0.848
0.837
..
0.829
0.807
0.800
0.803
0.808
0.816
0.798
0.796
0.801
0.807
0.823
0.806
0.793
..
..
0.793
0.771
0.749
..
0.792
0.775
0.784
..
0.943
0.944
0.939
0.929
0.915
0.928
0.923
0.906
0.908
0.906
0.913
0.894
0.899
0.894
0.902
0.915
0.907
..
0.893
0.888
0.892
0.887
0.896
0.876
0.871
0.886
0.874
0.871
0.868
0.856
0.856
0.869
0.821
0.861
0.818
0.828
..
0.829
0.846
0.835
0.835
0.833
0.818
0.831
0.827
0.812
0.818
0.797
0.805
0.781
..
..
0.777
0.793
0.805
..
0.763
0.779
0.767
..
83.6
84.8
84.9
82.9
81.3
83.1
83.0
83.6
84.7
81.5
82.9
83.9
83.9
82.5
86.4
84.8
87.0
..
83.6
85.2
83.6
83.1
83.0
83.7
82.8
85.0
85.3
80.7
83.1
80.5
79.5
81.8
79.6
77.6
78.2
80.5
..
79.2
82.0
78.2
82.7
82.9
78.6
77.5
81.3
75.5
80.4
77.5
79.9
80.6
78.2
77.2
75.8
77.5
77.3
79.0
74.4
77.3
77.8
..
79.4
80.3
80.2
79.1
76.5
78.3
79.2
79.3
79.8
77.3
78.6
79.7
80.3
78.6
80.4
78.1
80.1
..
79.9
78.3
78.5
78.0
78.0
77.4
76.4
79.6
78.9
74.6
78.4
76.7
77.8
77.9
69.1
73.9
66.0
72.3
..
71.5
77.5
76.1
77.1
76.9
70.5
75.9
77.3
73.5
73.7
66.7
72.6
73.7
72.1
72.5
64.2
70.3
73.5
74.8
61.8
70.0
73.0
..
12.7
12.5
11.5
11.6
13.0
12.6
12.5
12.3
9.7
d
11.9
11.7
11.8
d
10.8
12.8
9.8
11.1
11.2
..
12.6
10.9
8.9
10.5
d
10.9
10.3
11.8
9.7
9.5
12.1
9.9
8.6
10.1
10.7
12.3
8.0
12.3
11.9
..
11.6
g
9.5
10.2
9.6
8.0
11.2
d
9.1
10.1
g
7.9
10.5
11.5
d
10.0
8.7
11.1
9.9
i
11.4
i
10.4
7.5
..
11.7
10.6
d
9.5
12.2
12.6
13.1
13.1
12.2
12.9
13.3
12.6
12.2
10.7
d
12.3
11.5
11.4
d
10.0
11.8
10.3
12.5
11.8
..
12.5
11.4
10.6
10.7
d
11.7
10.2
12.0
10.6
9.7
12.5
10.4
8.8
8.7
12.6
11.7
9.2
12.4
11.7
..
11.5
g
10.3
8.7
9.9
8.5
11.4
d
9.6
10.3
g
6.8
11.6
11.5
d
9.6
8.2
11.1
11.2
i
11.7
i
11.0
7.5
..
11.8
10.5
d
9.2
12.6
18.2
20.3
15.6
18.0
17.4
16.2
20.2
16.2
15.5
e
17.6
18.5
16.6
19.9
16.7
15.3
16.1
15.1
13.8
16.1
16.3
15.9
16.5
14.0
17.6
17.9
16.8
17.5
16.9
16.6
14.9
14.0
14.0
17.5
15.9
17.3
16.3
..
15.6
14.7
13.9
g
15.3
16.5
15.7
15.1
h
15.1
15.2
15.2
16.3
17.5
16.6
..
15.5
16.3
14.5
16.4
13.9
14.5
14.5
17.2
14.6
16.9
19.4
15.8
17.8
15.7
16.4
18.5
15.4
15.3
e
16.3
18.7
15.1
17.6
15.8
15.4
17.8
15.4
16.4
15.2
15.6
15.3
16.0
13.8
16.4
15.8
15.8
16.8
15.9
16.4
14.2
13.9
13.9
15.5
15.4
16.0
14.7
..
14.5
14.3
12.9
g
15.0
16.1
15.1
13.7
h
13.9
14.2
13.9
14.8
15.4
14.4
..
14.8
15.2
13.7
15.9
13.4
13.5
14.1
13.8
12.9
56,994
35,551
42,561
34,497
41,792
33,028
26,695
34,612
50,001
37,106
23,872
38,071
27,612
27,589
40,051
21,795
22,384
..
24,636
29,580
25,170
30,213
41,351
32,123
21,762
22,303
23,487
16,233
17,791
52,831
45,863
19,787
19,410
16,197
19,588
16,462
..
19,450
18,832
23,903
14,339
17,846
17,233
24,531
13,302
43,134
15,777
18,624
11,975
13,789
17,934
..
12,655
12,005
10,649
17,346
18,228
12,539
11,165
..
70,807
47,553
65,278
50,432
63,163
53,445
38,656
49,272
95,329
f
48,742
43,092
48,365
42,520
42,632
66,417
38,990
51,906
..
35,402
44,139
61,543
49,077
76,196
f
42,795
31,916
43,640
37,804
33,098
31,707
88,468
141,468
f
33,461
27,985
78,689
28,607
26,871
..
31,554
35,217
72,659
27,410
30,817
25,663
36,660
26,319
114,532
f
22,509
26,415
22,849
22,730
25,047
..
20,730
23,148
32,678
56,424
27,741
18,430
16,054
..
176
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0189.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Gender Development
Index
Ratio of
female to
male HDI
HDI rank
2013
Human Development
Index (HDI)
Value
Life expectancy at birth
(years)
Mean years of schooling
(years)
Expected years
of schooling
(years)
Estimated gross national
income per capita
a
(2011 PPP $)
Rank
b
Female
2013
Male
2013
Female
2013
Male
2013
Female
2002–2012
c
Male
2002–2012
c
Female
2000–2012
c
Male
2000–2012
c
Female
2013
Male
2013
2013
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
..
0.935
0.957
0.994
0.900
0.978
0.999
0.973
0.884
1.015
0.940
..
..
0.961
0.847
0.952
0.842
..
..
0.941
..
0.957
1.012
0.963
0.944
..
0.994
0.937
0.990
0.891
0.939
..
0.843
..
0.957
0.989
..
0.972
..
0.974
0.966
..
0.936
1.021
..
0.948
0.974
0.923
0.964
0.855
0.966
..
0.931
0.990
0.965
0.945
0.989
..
0.851
0.802
..
91
72
8
110
36
2
43
118
25
85
..
..
66
128
77
130
..
..
84
..
72
21
60
83
..
8
89
14
116
88
..
129
..
72
17
..
46
..
41
54
..
90
32
..
81
41
98
58
125
54
..
93
14
56
82
17
..
127
137
..
0.743
0.750
0.763
0.715
0.753
0.759
0.751
0.704
0.762
0.728
..
..
0.720
0.672
0.723
0.658
..
..
0.713
..
0.720
0.738
0.714
0.708
..
0.725
0.679
0.718
0.669
0.696
..
0.629
..
0.694
0.703
..
0.697
..
0.693
0.682
..
0.673
0.705
..
0.670
0.612
0.654
0.669
0.617
0.664
..
0.642
0.659
0.648
0.637
0.652
..
0.588
0.556
..
0.794
0.784
0.767
0.794
0.770
0.760
0.772
0.796
0.751
0.775
..
..
0.749
0.793
0.759
0.781
..
..
0.758
..
0.753
0.729
0.742
0.750
..
0.729
0.725
0.725
0.751
0.740
..
0.746
..
0.725
0.711
..
0.718
..
0.711
0.706
..
0.718
0.691
..
0.707
0.628
0.709
0.694
0.722
0.687
..
0.690
0.666
0.672
0.674
0.659
..
0.691
0.693
78.3
77.4
77.1
73.6
82.3
80.5
77.7
82.2
78.7
72.3
79.8
78.1
..
77.4
76.1
73.9
75.6
76.9
77.6
77.8
75.3
77.6
74.4
77.1
77.5
78.9
78.0
73.0
77.8
78.3
76.7
74.7
72.7
..
80.6
76.1
77.5
77.7
79.4
74.3
75.7
76.7
79.0
71.6
69.8
76.5
75.0
72.9
66.8
73.6
74.6
64.5
69.5
72.8
77.1
71.7
72.2
58.8
77.8
73.2
73.5
72.7
70.3
66.4
78.1
74.8
71.7
77.8
71.8
61.0
75.1
69.0
..
71.2
72.2
67.6
72.3
71.3
70.4
70.5
70.3
72.2
62.8
70.9
72.9
73.8
71.3
67.0
71.1
73.6
74.1
70.4
69.4
..
74.6
71.0
72.2
70.4
73.7
67.9
69.8
70.4
76.9
63.7
61.4
70.2
71.5
68.8
62.1
68.8
70.1
62.4
65.1
65.0
67.8
65.0
65.4
54.7
71.8
65.9
..
9.2
8.0
10.9
7.6
i
9.6
g
8.7
8.4
6.4
10.2
g
8.1
9.4
i
..
10.7
g
7.1
10.5
i
9.4
9.2
g
7.3
g
11.9
j
..
8.5
11.2
9.2
g
7.9
j
7.2
i
10.8
g
9.8
7.0
5.5
6.9
..
5.9
..
9.1
9.8
..
7.0
7.4
7.3
9.2
d
7.7
5.4
d
8.5
..
10.3
8.4
i
6.9
8.7
5.3
7.5
8.4
8.4
g
9.6
g
6.1
9.5
j
8.8
d
9.8
6.1
4.4
..
9.9
9.1
10.6
8.2
i
9.2
g
8.4
8.3
8.7
10.5
g
8.8
9.4
i
..
9.4
g
8.6
11.2
i
10.4
9.9
g
7.2
g
12.4
j
..
9.6
11.4
9.3
g
8.5
j
9.5
i
10.8
g
10.0
7.7
7.5
8.2
..
7.8
..
9.5
9.2
..
7.1
7.8
g
8.0
9.5
d
7.2
6.2
d
8.2
..
10.3
9.3
i
8.1
9.0
7.5
7.9
6.4
10.0
g
10.0
g
6.9
9.9
j
8.5
d
10.1
7.1
6.7
13.7
12.7
15.9
12.5
13.0
12.9
15.3
13.9
13.8
15.4
12.9
12.1
13.4
13.9
15.0
11.6
13.5
14.1
..
12.8
16.3
13.2
15.3
14.1
13.4
..
13.6
14.1
13.4
15.0
13.0
13.4
14.2
..
10.3
12.4
12.5
13.5
..
12.9
14.0
..
12.8
15.6
..
13.3
k
14.0
12.8
11.7
12.7
12.2
..
12.9
12.1
12.0
11.3
11.5
..
12.0
8.7
13.8
12.7
15.2
12.1
13.3
11.9
13.1
13.2
15.0
14.7
12.6
11.1
12.4
13.4
15.3
11.9
13.1
13.2
..
12.8
15.3
13.1
14.9
13.3
13.2
..
11.2
13.7
12.7
14.0
12.8
13.1
13.8
..
10.3
11.5
11.8
12.9
..
11.2
13.4
..
12.5
14.4
..
12.5
k
12.5
12.7
11.6
13.3
11.7
..
13.4
11.6
12.3
11.7
11.1
..
12.1
11.4
..
13,187
10,980
19,079
7,199
10,798
11,924
9,719
8,813
14,369
10,060
..
..
5,078
4,159
10,968
2,875
..
10,851
4,231
..
8,942
6,450
6,163
7,913
6,381
5,486
4,100
11,728
4,751
9,288
7,541
3,695
..
6,704
6,406
7,597
7,698
7,045
9,874
3,983
7,514
7,504
7,299
7,714
2,868
1,651
5,873
11,491
4,225
5,984
14,003
4,406
4,196
5,383
3,579
4,987
8,539
1,922
4,246
..
30,984
22,726
31,713
25,038
21,850
22,180
16,204
28,318
24,902
22,020
..
..
13,616
22,631
20,541
19,459
..
17,813
9,871
..
13,607
10,279
12,571
15,563
12,628
10,282
10,214
15,069
16,226
13,512
13,085
21,219
..
11,734
9,990
10,966
15,485
12,951
20,329
6,642
14,172
12,608
9,654
15,479
6,436
8,580
12,030
18,054
16,522
9,150
19,919
6,701
5,979
9,302
6,893
7,771
15,233
9,478
23,555
TABLE
5
TABLE 5
Gender Development Index | 177
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0190.png
TABLE 5
GENDER DEVELOPMENT INDEX
Gender Development
Index
Ratio of
female to
male HDI
HDI rank
2013
Human Development
Index (HDI)
Value
Life expectancy at birth
(years)
Mean years of schooling
(years)
Expected years
of schooling
(years)
Estimated gross national
income per capita
a
(2011 PPP $)
Rank
b
2013
Female
2013
Male
2013
Female
2013
Male
2013
Female
2002–2012
c
Male
2002–2012
c
Female
2000–2012
c
Male
2000–2012
c
Female
2013
Male
2013
TABLE
5
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
0.985
..
..
..
0.910
0.976
0.978
0.875
0.929
0.828
0.900
0.912
..
0.952
0.828
..
0.909
0.884
0.897
0.928
0.913
0.908
0.894
..
0.912
0.750
0.908
0.877
..
..
0.950
0.872
0.839
0.738
0.917
0.909
..
..
..
0.916
0.801
0.973
0.864
0.896
0.822
..
0.803
..
0.602
..
..
..
0.853
0.891
0.786
0.771
..
0.879
0.785
25
..
..
..
104
39
36
122
95
132
110
102
..
77
132
..
105
118
112
96
101
107
115
..
102
145
107
121
..
..
80
123
131
146
99
105
..
..
..
100
138
43
124
114
134
..
136
..
148
..
..
..
126
116
140
143
..
120
141
0.629
..
..
..
0.596
0.618
0.616
0.574
0.590
0.545
0.581
0.583
..
0.591
0.519
..
0.533
0.537
0.537
0.543
0.534
0.528
0.524
..
0.514
0.447
0.508
0.493
..
..
0.463
0.468
0.458
0.415
0.476
0.468
..
..
..
0.466
0.425
0.474
0.449
0.456
0.428
..
0.401
..
0.330
..
..
..
0.401
0.389
0.379
0.350
..
0.343
0.344
0.638
..
..
..
0.655
0.633
0.631
0.656
0.634
0.658
0.646
0.639
..
0.621
0.627
..
0.587
0.607
0.599
0.585
0.585
0.582
0.586
..
0.564
0.596
0.560
0.562
..
..
0.487
0.537
0.546
0.562
0.519
0.515
..
..
..
0.509
0.530
0.488
0.520
0.509
0.520
..
0.499
..
0.549
..
..
..
0.470
0.437
0.482
0.455
..
0.391
0.439
68.9
80.5
78.8
69.9
75.6
71.9
67.1
69.1
76.2
72.7
73.8
77.9
71.8
70.8
68.3
68.7
74.5
62.1
69.7
60.2
60.0
71.5
68.3
54.6
69.6
67.5
63.6
48.3
53.4
67.2
65.7
56.2
52.8
64.5
66.2
60.8
64.6
69.2
62.3
62.9
63.1
49.5
64.9
60.4
60.7
63.9
57.4
65.0
62.2
63.4
51.6
60.2
65.3
55.4
61.5
54.9
55.8
51.0
56.9
63.6
71.3
71.1
68.0
68.5
63.4
61.7
66.0
71.5
69.1
69.7
71.8
66.1
64.1
64.7
68.0
69.1
60.2
66.9
57.4
56.3
69.9
64.3
51.7
67.3
65.7
59.8
49.6
50.4
63.1
62.4
53.9
52.2
61.8
63.2
58.8
60.4
66.3
59.5
60.2
60.0
49.2
61.9
58.0
57.9
60.3
55.6
61.2
59.7
60.2
50.0
57.5
62.0
55.1
59.6
55.1
52.8
49.3
55.3
9.0
g
5.2
..
5.6
5.0
9.3
g
6.3
3.6
l
5.3
3.2
8.0
4.8
..
10.0
g
3.2
..
3.2
g
5.9
3.8
5.5
5.8
4.6
4.0
l
..
2.4
3.3
5.4
g
7.4
..
4.1
3.1
5.1
4.2
l
1.2
4.8
k
6.7
g
3.2
..
..
4.5
2.6
6.8
d
3.4
g
4.3
2.0
2.5
3.3
3.2
1.2
..
3.1
2.0
1.4
l
3.4
g
2.3
1.4
d
1.4
j
0.8
l
0.8
l
8.1
g
5.7
..
9.2
6.4
9.3
g
6.1
5.3
l
5.7
5.6
10.0
6.7
..
9.7
g
5.6
..
5.0
g
8.1
5.4
6.7
7.2
5.6
5.5
l
..
4.2
6.1
7.1
g
6.8
..
3.8
3.6
6.7
6.3
l
3.8
5.6
k
7.8
g
8.4
..
..
5.8
4.9
4.6
d
5.6
g
6.4
4.4
3.8
6.7
6.7
5.1
..
5.4
3.6
3.6
l
5.1
g
5.6
2.6
d
3.4
j
1.7
l
2.6
l
11.7
..
13.6
..
10.3
12.7
11.4
11.3
12.1
10.6
10.2
10.8
12.7
10.4
11.3
12.5
10.3
10.9
9.5
10.9
13.0
10.3
11.4
6.9
12.5
6.9
10.7
10.9
8.7
..
10.3
9.5
8.2
7.7
10.2
9.1
..
8.8
12.3
9.0
8.1
11.6
7.8
10.6
9.4
..
8.5
..
7.2
5.9
..
..
8.0
10.8
8.9
7.6
..
8.9
7.4
9.9
..
12.9
..
11.1
12.3
11.3
12.0
11.2
11.6
10.9
10.3
11.9
12.0
11.8
12.3
11.5
12.1
10.8
11.3
13.9
9.7
11.2
10.0
12.2
8.4
11.3
11.8
14.0
..
10.2
11.2
9.8
10.6
10.5
9.5
..
9.7
13.2
9.3
8.3
10.6
8.1
10.9
12.7
..
11.9
..
11.3
6.9
..
..
9.0
10.7
12.4
9.6
..
10.1
10.1
3,993
4,147
4,266
..
4,456
2,228
7,288
5,634
2,474
3,215
2,022
2,821
..
1,939
2,277
5,419
2,410
2,937
3,806
4,222
2,344
1,928
2,001
17,769
1,857
1,707
1,763
3,738
5,080
3,362
1,263
2,062
4,068
1,775
1,102
1,124
2,140
940
798
1,501
1,362
2,217
1,642
1,167
1,455
1,692
998
1,349
503
1,907
1,866
1,309
1,090
652
634
914
907
939
913
8,613
5,655
8,480
..
9,397
3,837
11,196
13,582
5,800
10,692
3,264
5,743
..
2,906
7,833
7,942
3,220
4,138
4,902
5,597
3,455
3,480
4,248
25,977
2,554
7,439
2,554
7,384
7,587
4,673
1,550
3,052
6,594
6,080
1,566
1,496
2,754
1,816
2,201
1,903
4,592
3,395
2,717
1,502
1,999
5,153
1,263
1,930
3,265
4,300
3,648
1,811
1,515
777
868
2,076
1,275
1,086
1,370
178
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0191.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Gender Development
Index
Ratio of
female to
male HDI
HDI rank
2013
Human Development
Index (HDI)
Value
Life expectancy at birth
(years)
Mean years of schooling
(years)
Expected years
of schooling
(years)
Estimated gross national
income per capita
a
(2011 PPP $)
Rank
b
2013
Female
2013
Male
2013
Female
2013
Male
2013
Female
2002–2012
c
Male
2002–2012
c
Female
2000–2012
c
Male
2000–2012
c
Female
2013
Male
2013
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
0.904
0.924
..
0.799
0.762
0.776
0.822
0.714
..
..
..
..
..
..
..
..
0.975
0.946
0.875
0.834
0.866
0.943
0.938
0.963
0.830
0.867
0.859
..
0.920
109
97
..
139
144
142
134
147
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
0.370
0.376
..
0.329
0.319
0.296
0.304
0.275
..
..
..
..
..
..
..
..
0.874
0.710
0.565
0.446
0.626
0.682
0.705
0.716
0.522
0.460
0.447
..
0.655
0.410
0.407
..
0.412
0.419
0.382
0.369
0.385
..
..
..
..
..
..
..
..
0.896
0.750
0.646
0.535
0.722
0.724
0.752
0.744
0.629
0.531
0.520
..
0.712
56.1
56.9
65.2
45.8
52.1
52.1
51.8
58.6
73.4
..
..
..
..
56.7
56.3
..
83.0
76.8
70.0
60.5
72.2
75.8
75.4
78.0
68.9
58.0
62.8
72.4
73.0
52.2
55.7
60.5
45.3
50.3
48.3
48.2
58.3
66.4
..
..
..
..
53.4
54.2
..
77.4
72.3
65.9
58.2
68.4
72.3
67.3
71.8
65.7
55.6
60.3
67.7
68.8
2.2
1.9
j
..
2.0
0.6
2.3
2.1
0.8
..
..
..
..
..
..
..
..
11.6
7.5
4.7
3.1
4.9
6.8
8.8
7.7
3.5
3.7
2.9
..
6.0
3.3
1.1
j
..
3.8
2.3
4.9
4.1
2.1
..
..
..
..
..
..
..
..
11.8
8.5
6.4
5.1
6.7
7.9
9.8
8.0
5.8
5.4
4.5
..
7.4
9.6
7.0
3.7
6.1
5.9
5.9
8.4
4.8
..
12.0
..
9.9
15.9
..
..
11.4
16.7
13.4
11.4
8.3
12.1
12.8
13.4
13.6
10.8
8.8
9.0
13.5
12.0
10.7
8.0
4.6
8.4
8.9
8.6
10.9
6.1
..
11.4
..
8.9
14.7
..
..
10.3
15.8
13.1
11.8
9.8
12.8
12.6
13.8
13.0
11.4
10.1
10.1
12.8
12.3
685
1,335
986
1,617
1,289
482
390
471
..
..
..
..
..
..
..
..
26,677
9,426
3,199
2,011
6,991
8,154
7,287
8,962
2,384
2,492
1,576
6,993
8,956
815
1,871
1,309
2,016
1,953
698
499
1,268
..
..
..
..
..
..
..
..
53,683
16,966
8,619
3,789
23,169
12,488
17,867
18,732
7,852
3,812
2,629
12,017
18,277
TABLE
5
NOTES
a
Because disaggregated income data are not
available, data are crudely estimated. See
Definitions
and
Technical note 4
at http://hdr.
undp.org for details on the methodology.
b
Countries are ranked by absolute deviation from
gender parity in HDI values.
c
Data refer to the most recent year available
during the period specified.
d
HDRO update based on data on educational
attainment from UNESCO Institute for Statistics
(2013b) and methodology from Barro and Lee (2013).
e
Calculated by the Singapore Ministry of Education.
f
For the purpose of calculating the HDI for men,
estimated earned income is capped at $75,000.
g
Based on UNESCO Institute for Statistics (2011).
h
Based on data on school life expectancy from
UNESCO Institute for Statistics (2013a).
i
Based on the estimate of educational attainment
distribution from UNESCO Institute for Statistics
(2013a) .
j
HDRO calculations based on recent data from
Multiple Indicator Cluster Surveys.
k
HDRO calculations based on data from the
2011 population census from Samoa Bureau of
Statistics (n.d.).
l
HDRO estimate based on country’s most recent
Demographic and Health Survey data.
DEFINITIONS
Gender Development Index:
A composite
measure reflecting disparity in human development
achievements between women and men in three
dimensions—health, education and living standards.
See
Technical note 4
at http://hdr.undp.org for
details on how the Gender Development Index is
calculated.
Ratio of female to male HDI:
Ratio of female to
male HDI values.
Human Development Index (HDI):
A composite
index measuring average achievement in three basic
dimensions of human development—a long and
healthy life, knowledge and a decent standard of
living. See
Technical note 1
at http://hdr.undp.org for
details on how the HDI is calculated
Life expectancy at birth:
Number of years a
newborn infant could expect to live if prevailing
patterns of age-specific mortality rates at the time of
birth stay the same throughout the infant’s life.
Mean years of schooling:
Average number of
years of education received by people ages 25 and
older, converted from educational attainment levels
using official durations of each level.
Expected years of schooling:
Number of years
of schooling that a child of school entrance age can
expect to receive if prevailing patterns of age-specific
enrolment rates persist throughout the child’s life.
Estimated gross national income (GNI) per
capita:
Derived from the ratio of female to male
wage, female and male shares of economically
active population and GNI (in 2011 purchasing power
parity terms). See
Technical note 4
at http://hdr.
undp.org/ for details.
MAIN DATA SOURCES
Columns 1 and 2:
Calculated based on data in
columns 3 and 4.
Columns 3 and 4:
HDRO calculations based on
data from UNDESA (2013a), Barro and Lee (2013),
United Nations Statistics Division (2014), UNESCO
Institute for Statistics (2013b), World Bank (2014)
and ILO (2014).
Columns 5 and 6:
UNDESA 2013a.
Columns 7 and 8:
Barro and Lee (2013), UNESCO
Institute for Statistics (2013b) and HDRO estimates
based on data on educational attainment from
UNESCO Institute for Statistics (2013b) and on
methodology from Barro and Lee (2013).
Columns 9 and 10:
UNESCO Institute for Statistics
2013.
Columns 11 and 12:
HDRO calculations based
on ILO (2013a), UNDESA (2013a) and World Bank
(2014).
TABLE 5
Gender Development Index | 179
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0192.png
TABLE
6
Multidimensional Poverty Index
Multidimensional Poverty Index
b
Revised
specifications
c
Index
Year and survey
a
Value
Headcount
(%)
2010
specifications
d
Index
Value
Headcount
(%)
Population in
multidimensional poverty
e
Headcount
(thousands)
Intensity of
deprivation
(%)
Contribution of
deprivation in dimension
to overall poverty
(%)
Education
Health
Population below
income poverty line
(%)
PPP $1.25 National
a day
poverty line
Living
standards 2002–2012
f
2002–2012
f
Population near Population
multidimensional in severe
poverty
e
poverty
e
(%)
(%)
Afghanistan
Albania
Argentina
Armenia
Azerbaijan
Bangladesh
Belarus
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Brazil
TABLE
Burkina Faso
Burundi
Cambodia
Cameroon
Central African Republic
China
Colombia
Congo
Congo (Democratic Republic of the)
Cote d’Ivoire
Djibouti
Dominican Republic
Egypt
Ethiopia
Gabon
Gambia
Georgia
Ghana
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
India
Indonesia
Iraq
Jordan
Kazakhstan
Kenya
Kyrgyzstan
Lao People’s Democratic Republic
Lesotho
Liberia
Madagascar
Malawi
Maldives
Mali
Mauritania
Mexico
Moldova (Republic of)
Mongolia
Montenegro
Mozambique
Namibia
Nepal
Nicaragua
Niger
Nigeria
6
2010/2011 M
2008/2009 D
2005 N
2010 D
2006 D
2011 D
2005 M
2011 M
2006 D
2010 M
2008 D
2011/2012 M
2012 N
2010 D
2010 D
2010 D
2011 D
2010 M
2009 N
2010 D
2011/2012 D
2010 M
2011/2012 D
2006 M
2007 D
2008 D
2011 D
2012 D
2005/2006 M
2005 M
2011 M
2005 D
2006 M
2009 D
2012 D
2011/2012 D
2005/2006 D
2012 D
2011 M
2009 D
2010/2011 M
2008/2009 D
2005/2006 M
2011/2012 M
2009 D
2007 D
2008/2009 D
2010 D
2009 D
2006 D
2007 M
2012 N
2005 D
2005 M
2005/2006 M
2011 D
2006/2007 D
2011 D
2011/2012 D
2012 D
2011 M
0.293
g
0.005
0.015
h
0.002
0.009
0.237
0.001
0.030
0.401
i
0.128
0.097
0.006
j
0.012
g,k
0.508
0.442
0.211
0.260
0.424
0.026
k,l
0.032
0.192
0.399
0.307
0.127
0.026
0.036
m
0.537
0.073
0.329
0.008
0.144
0.548
0.495
0.031
0.242
0.098
i
0.282
0.024
g
0.052
0.004
0.004
0.226
0.013
0.186
0.227
0.459
0.420
0.332
0.008
0.533
0.362
0.024
0.005
0.077
0.012
j
0.390
0.200
0.197
0.088
0.584
0.239
58.8
g
1.2
3.7
h
0.6
2.4
49.5
0.4
7.4
69.8
i
29.4
20.6
1.7
j
3.1
g,k
82.8
81.8
46.8
48.2
76.3
6.0
k,l
7.6
43.0
74.4
59.3
26.9
6.2
8.9
m
88.2
16.7
60.8
2.2
30.5
86.5
80.4
7.8
50.2
20.7
i
55.3
5.9
g
13.3
1.0
1.1
48.2
3.4
36.8
49.5
81.9
77.0
66.7
2.0
85.6
66.0
6.0
1.3
18.3
3.0
j
70.2
42.1
41.4
19.4
89.8
43.3
0.353
g
0.005
0.011
h
0.001
0.021
0.253
0.000
0.018
0.412
i
0.119
0.089
0.002
j
0.535
0.454
0.212
0.248
0.430
..
0.022
0.181
0.392
0.310
0.139
0.018
0.024
m
0.564
0.070
0.324
0.003
0.139
0.506
0.462
0.030
0.248
0.072
i
0.283
0.066
g
0.045
0.008
0.001
0.229
0.019
0.174
0.156
0.485
0.357
0.334
0.018
0.558
0.352
0.011
0.007
0.065
0.006
j
0.389
0.187
0.217
0.072
0.605
0.240
66.2
g
1.4
2.9
h
0.3
5.3
51.2
0.0
4.6
71.8
i
27.2
20.5
0.5
j
84.0
80.8
45.9
46.0
77.6
..
5.4
39.7
74.0
58.7
29.3
4.6
6.0
m
87.3
16.5
60.4
0.8
30.4
82.5
77.5
7.7
49.4
15.8
i
53.7
15.5
g
11.6
2.4
0.2
47.8
4.9
34.1
35.3
83.9
66.9
66.7
5.2
86.6
61.7
2.8
1.9
15.8
1.5
j
69.6
39.6
44.2
16.1
89.3
43.3
17,116
g
38
1,438
h
18
210
75,610
41
23
5,897
i
211
2,022
65
j
6,083
g,k
12,875
7,553
6,721
10,187
3,320
80,784
k,l
3,534
1,866
46,278
11,772
212
599
6,740
m
78,887
273
901
99
7,559
8,283
1,168
61
5,104
1,642
i
631,999
14,574
g
4,236
64
173
19,190
173
2,447
984
2,883
15,774
10,012
6
10,545
2,197
7,272
49
462
19
j
17,246
876
11,255
1,146
15,408
71,014
49.9
g
38.3
39.1
h
37.0
38.2
47.8
34.5
41.2
57.4
i
43.5
47.0
37.3
j
40.8
g,k
61.3
54.0
45.1
54.1
55.6
43.4
k,l
42.2
44.7
53.7
51.7
47.3
41.9
40.3
m
60.9
43.4
54.1
37.6
47.3
63.4
61.6
40.0
48.1
47.4
i
51.1
41.3
g
39.4
36.8
36.4
47.0
37.9
50.5
45.9
56.1
54.6
49.8
37.5
62.4
54.9
39.9
38.8
42.0
40.1
j
55.6
47.5
47.4
45.6
65.0
55.2
16.0
g
7.2
5.2
h
3.0
11.5
18.8
1.1
6.4
18.8
i
18.0
17.3
3.2
j
7.4
g,k
7.6
12.0
20.4
17.8
15.7
19.0
k,l
10.2
26.2
15.5
17.9
16.0
10.8
8.6
m
6.7
19.9
15.7
4.1
18.7
7.7
10.5
18.8
22.2
28.6
i
18.2
8.1
g
7.4
4.1
2.3
29.1
10.1
18.5
20.4
12.9
11.7
24.5
8.5
7.8
12.8
10.1
5.2
19.0
1.3
j
14.8
22.6
18.1
14.8
5.9
17.0
29.8
g
0.1
0.5
h
0.1
0.2
21.0
0.0
1.5
45.7
i
8.8
7.8
0.0
j
0.5
g,k
63.8
48.2
16.4
27.1
48.5
1.3
k,l
1.8
12.2
46.2
32.4
11.1
1.4
1.5
m
67.0
4.4
35.9
0.1
12.1
68.6
58.4
1.2
20.1
7.2
i
27.8
1.1
g
2.5
0.1
0.0
15.7
0.3
18.8
18.2
52.8
48.0
29.8
0.1
66.8
42.3
1.1
0.2
4.2
0.5
j
44.1
15.7
18.6
6.9
73.5
25.7
45.6
g
22.4
38.2
h
3.4
20.0
28.4
2.6
36.2
35.0
i
40.3
21.9
7.8
j
27.7
g,k
39.0
25.0
25.9
24.5
23.8
21.0
k,l
34.3
10.6
18.5
36.5
36.1
36.2
41.8
m
27.4
15.2
34.0
7.4
27.7
34.4
30.5
16.8
24.8
36.6
i
22.7
24.7
g
50.1
33.7
4.3
11.2
5.0
37.7
14.8
30.4
31.6
18.9
27.8
37.4
33.5
31.4
17.7
13.5
21.0
j
30.4
14.8
27.3
37.8
35.9
26.9
19.2
g
47.1
27.8
h
87.8
50.7
26.6
89.7
34.8
24.9
i
26.3
27.9
79.5
j
38.4
g,k
22.5
26.3
27.7
31.3
26.2
44.4
k,l
24.7
32.8
25.5
25.8
22.7
30.4
45.6
m
25.2
43.8
30.5
67.4
27.1
22.3
27.9
51.2
23.4
23.1
i
32.5
35.1
g
38.6
56.3
83.9
32.4
63.9
25.4
33.8
21.8
24.5
27.7
60.2
22.6
18.2
25.6
46.6
35.7
63.8
j
22.3
33.4
28.2
12.6
24.0
32.6
35.2
g
30.5
34.0
h
8.7
29.3
44.9
7.7
29.0
40.1
i
33.4
50.2
12.7
j
33.9
g,k
38.5
48.8
46.4
44.2
50.0
34.6
k,l
41.0
56.6
55.9
37.7
41.2
33.3
12.6
m
47.4
40.9
35.5
25.2
45.2
43.3
41.6
32.0
51.8
40.3
i
44.8
40.2
g
11.3
10.0
11.8
56.4
31.2
36.9
51.4
47.8
43.9
53.4
11.9
40.1
48.3
43.0
35.6
50.8
15.3
j
47.3
51.8
44.5
49.6
40.0
40.4
..
0.62
0.92
2.47
0.43
43.25
0.07
..
47.33
1.66
15.61
0.04
6.14
44.6
81.32
18.6
9.56
..
11.8
8.16
54.1
87.72
23.75
18.84
2.24
1.69
30.65
4.84
33.63
17.99
28.59
43.34
48.9
..
..
17.92
32.68
16.20
2.82
0.12
0.11
43.37
5.03
33.88
43.41
83.76
81.29
61.64
1.48
50.43
23.43
0.72
0.39
..
0.12
59.58
31.91
24.82
..
43.62
67.98
36
12.4
..
35.8
6
31.51
6.3
..
36.2
12
51.3
14
21.4
46.7
66.9
20.5
39.9
..
..
32.7
46.5
71.3
42.7
..
40.9
25.2
29.6
32.7
48.4
24.7
28.5
55.2
69.3
..
..
60
21.9
12
22.9
13.3
3.8
45.9
38
27.6
56.6
63.8
75.3
50.7
..
43.6
42
52.3
16.6
27.4
9.3
54.7
28.7
25.2
..
59.5
46
180
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0193.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Multidimensional Poverty Index
b
Revised
specifications
c
Index
Year and survey
a
Value
Headcount
(%)
2010
specifications
d
Index
Value
Headcount
(%)
Population in
multidimensional poverty
e
Headcount
(thousands)
Intensity of
deprivation
(%)
Contribution of
deprivation in dimension
to overall poverty
(%)
Education
Health
Population below
income poverty line
(%)
PPP $1.25 National
a day
poverty line
Population near Population
multidimensional in severe
poverty
e
poverty
e
(%)
(%)
Living
standards 2002–2012
f
2002–2012
f
Pakistan
Palestine (State of)
Peru
Philippines
Rwanda
Sao Tome and Principe
Senegal
Serbia
Sierra Leone
Somalia
South Africa
Suriname
Swaziland
Syrian Arab Republic
Tajikistan
Tanzania (United Republic of)
Thailand
The former Yugoslav Republic of Macedonia
Timor-Leste
Togo
Trinidad and Tobago
Tunisia
Uganda
Ukraine
Uzbekistan
Vanuatu
Viet Nam
Yemen
Zambia
Zimbabwe
2012/2013 D
2006/2007 N
2012 D
2008 D
2010 D
2008/2009 D
2010/2011 D
2010 M
2010 M
2006 M
2012 N
2010 M
2010 M
2006 M
2012 D
2010 D
2005/2006 M
2011 M
2009/2010 D
2010 M
2006 M
2011/2012 M
2011 D
2007 D
2006 M
2007 M
2010/2011 M
2006 M
2007 D
2010/2011 D
0.237
0.007
0.043
0.038
g,n
0.352
0.217
0.390
0.001
0.405
0.500
0.041
0.033
j
0.113
0.024
0.031
0.335
0.004
0.007
j
0.322
0.260
0.007
g
0.006
0.359
0.002
g
0.013
0.135
0.026
0.191
g
0.318
0.181
45.6
2.0
10.4
7.3
g,n
70.8
47.5
69.4
0.3
72.7
81.8
10.3
7.6
j
25.9
6.4
7.9
66.4
1.0
1.7
j
64.3
50.9
1.7
g
1.5
70.3
0.6
g
3.5
31.2
6.4
37.5
g
62.8
41.0
0.230
0.005
0.043
0.064
g,n
0.350
0.154
0.439
0.000
0.388
0.514
0.044
0.024
j
0.086
0.021
0.054
0.332
0.006
0.002
j
0.360
0.250
0.020
g
0.004
0.367
0.008
g
0.008
0.129
0.017
0.283
g
0.328
0.172
44.2
1.4
10.5
13.4
g,n
69.0
34.5
74.4
0.1
72.5
81.2
11.1
5.9
j
20.4
5.5
13.2
65.6
1.6
0.7
j
68.1
49.8
5.6
g
1.2
69.9
2.2
g
2.3
30.1
4.2
52.5
g
64.2
39.1
83,045
74
3,132
6,559
g,n
7,669
82
9,247
25
4,180
7,104
5,400
40
j
309
1,197
629
29,842
664
36
j
694
3,207
23
g
161
24,712
264
g
935
69
5,796
7,741
g
7,600
5,482
52.0
36.9
41.4
51.9
g,n
49.7
45.5
56.2
39.9
55.8
61.1
39.6
43.1
j
43.5
38.0
39.0
50.4
38.8
38.4
j
50.1
51.2
38.0
g
39.3
51.1
34.3
g
36.6
43.1
40.7
50.9
g
50.7
44.1
14.9
7.4
12.3
12.2
g,n
17.9
21.5
14.4
3.1
16.7
8.3
17.1
4.7
j
20.5
7.7
23.4
21.5
4.4
2.4
j
21.4
20.3
0.5
g
3.2
20.6
0.2
g
6.2
32.6
8.7
16.7
g
18.7
24.9
26.5
0.1
2.1
5.0
g,n
34.6
16.4
45.1
0.0
46.4
63.6
1.3
2.0
j
7.4
0.9
1.2
32.1
0.1
0.1
j
31.5
26.4
0.2
g
0.2
33.3
0.0
g
0.1
7.3
1.3
18.4
g
31.3
12.2
36.2
16.6
19.4
37.1
g,n
23.8
29.1
36.7
24.7
24.2
33.7
8.4
31.0
j
13.7
44.4
13.4
16.9
19.4
18.5
j
20.0
28.9
2.2
g
33.7
18.0
1.0
g
3.7
24.4
35.9
33.4
g
16.3
7.8
32.3
72.3
29.8
25.7
g,n
27.2
26.5
33.1
48.6
28.3
18.8
61.4
37.2
j
41.0
43.1
52.6
28.2
51.3
57.2
j
30.4
25.0
86.1
g
48.2
30.2
95.1
g
83.4
24.1
25.7
21.3
g
29.4
37.9
31.6
11.1
50.8
37.2
g,n
49.0
44.4
30.2
26.7
47.4
47.5
30.2
31.8
j
45.3
12.5
34.0
54.9
29.4
24.3
j
49.6
46.1
11.7
g
18.1
51.9
3.8
g
12.8
51.6
38.4
45.3
g
54.3
54.3
21.04
0.04
4.91
18.42
63.17
..
29.61
0.21
51.71
..
13.77
..
40.63
1.71
6.56
67.87
0.38
0.6
..
28.22
..
..
38.01
0.02
..
..
16.85
17.53
74.45
..
22.3
21.9
25.8
26.5
44.9
61.7
46.7
9.2
52.9
..
23
..
63
..
46.7
28.2
13.2
19
49.9
58.7
..
..
24.5
2.9
..
..
20.7
34.8
60.5
72.3
TABLE
6
NOTES
a
D
indicates data from Demographic and Health
Surveys,
M
indicates data from Multiple Indicator
Cluster Surveys, and
N
indicates data from
national surveys (see http://hdr.undp.org for the
list of national surveys).
b
Not all indicators were available for all countries,
so caution should be used in cross-country
comparisons. Where data were missing, indicator
weights are adjusted to total 100%.
c
The revised specifications refer to somewhat
modified definitions of deprivations in some
indicators compared to the 2010 specifications.
See
Technical note 5
at http://hdr.undp.org for
details.
d
The 2010 specifications are based on a
methodology from Alkire and Santos (2010).
e
Based on the revised specifications in
Technical
note 5
(available at http://hdr.undp.org).
f
Data refer to the most recent year available
during the period specified.
g
Missing indicators on nutrition.
h
Refers only to the urban part of the country.
i
Missing indicator on electricity.
j
Missing indicator on child mortality.
k
Missing indicator on type of floor.
l
Refers only to a part of the country (nine
provinces).
m
Missing indicator on cooking fuel.
n
Missing indicator on school attendance.
DEFINITIONS
Multidimensional Poverty Index:
Percentage
of the population that is multidimensionally poor
adjusted by the intensity of the deprivations. See
Technical note 5
at http://hdr.undp.org for details
on how the Multidimensional Poverty Index is
calculated.
Multidimensional poverty headcount:
Population
with a weighted deprivation score of at least
33 percent.
Intensity of deprivation of multidimensional
poverty:
Average percentage of deprivation
experienced by people in multidimensional poverty.
Population near multidimensional poverty:
Percentage of the population at risk of suffering
multiple deprivations—that is, those with a
deprivation score of 20–33 percent.
Population in severe poverty:
Percentage of the
population in severe multidimensional poverty—that
is, those with a deprivation score of 50 percent or
more.
Contribution of deprivation to overall poverty:
Percentage of the Multidimensional Poverty Index
attributed to deprivations in each dimension.
Population below PPP $1.25 a day:
Percentage of
the population living below the international poverty
line $1.25 (in purchasing power parity terms) a day.
Population below national poverty line:
Percentage of the population living below the
national poverty line, which is the poverty line
deemed appropriate for a country by its authorities.
National estimates are based on population-weighted
subgroup estimates from household surveys.
MAIN DATA SOURCES
Column 1:
Calculated from various household
surveys, including ICF Macro Demographic and
Health Surveys, United Nations Children’s Fund
Multiple Indicator Cluster Surveys and several
national household surveys conducted between
2005 and 2012.
Columns 2, 3 and 6–12:
HDRO calculations based
on data on household deprivations in education,
health and living standards from various household
surveys listed in column 1 using the revised
methodology described in
Technical note 5
(available
at http://hdr.undp.org).
Columns 4 and 5:
Alkire, Conconi and Seth 2014.
Columns 13 and 14:
World Bank 2013a.
TABLE 6
Multidimensional Poverty Index | 181
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0194.png
TABLE
6A
Multidimensional Poverty Index: changes over time (select countries)
Population in multidimensional poverty
c
Multidimensional
Poverty Index
b
Year and
survey
a
Value
(%)
Headcount
(thousands)
Intensity of
deprivation
(%)
Population near
multidimensional
poverty
(%)
Population
in severe
poverty
(%)
Contribution of deprivation to overall poverty
(%)
Education
Health
Living standards
TABLE
6A
Bangladesh
Bangladesh
Belize
Belize
Bosnia and Herzegovina
Bosnia and Herzegovina
Brazil
Brazil
Burkina Faso
Burkina Faso
Burundi
Burundi
Cambodia
Cambodia
Cameroon
Cameroon
Central African Republic
Central African Republic
Congo
Congo
Cote d’Ivoire
Cote d’Ivoire
Ghana
Ghana
Guyana
Guyana
Haiti
Haiti
Honduras
Honduras
Indonesia
Indonesia
Iraq
Iraq
Kazakhstan
Kazakhstan
Lao People’s Democratic Republic
Lao People’s Democratic Republic
Mexico
Mexico
Mozambique
Mozambique
Nepal
Nepal
Nicaragua
Nicaragua
Niger
Niger
Nigeria
Nigeria
Pakistan
Pakistan
Peru
Peru
Peru
Peru
Rwanda
Rwanda
Senegal
Senegal
Serbia
Serbia
Sierra Leone
2011 D
2007 D
2011 M
2006 M
2011/2012 M
2006 M
2012 N
2006 N
2010 D
2006 M
2010 D
2005 M
2010 D
2005 D
2011 D
2006 M
2010 M
2006 M
2011/2012 D
2009 D
2011/2012 D
2005 D
2011 M
2008 D
2009 D
2007 M
2012 D
2005/2006 D
2011/2012 D
2005/2006 D
2012 D
2007 D
2011 M
2006 M
2010/2011 M
2006 M
2011/2012 M
2006 M
2012 N
2006 N
2011 D
2009 D
2011 D
2006 D
2011/2012 D
2006/2007 D
2012 D
2006 D
2011 M
2008 D
2012/2013 D
2006/2007 D
2012 D
2011 D
2010 D
2008 D
2010 D
2005 D
2010/2011 D
2005 D
2010 M
2005/2006 M
2010 M
0.237
0.294
0.030
0.028
0.006
d
0.013
d
0.012
e,f
0.017
g
0.508
0.538
0.442
0.485
e
0.211
0.282
0.260
0.304
d
0.424
0.464
0.192
0.154
e
0.307
0.269
e,g
0.144
0.186
0.031
0.032
0.242
0.315
0.098
h
0.156
h
0.024
e
0.043
e
0.052
0.077
0.004
0.007
0.186
0.320
d
0.024
0.028
0.390
0.395
e
0.197
0.314
0.088
0.137
0.584
0.677
0.239
0.294
0.237
0.218
e
0.043
0.051
0.056
0.069
0.352
0.481
0.390
0.436
0.001
0.011
d
0.405
49.5
59.5
7.4
6.9
1.7
d
3.5
d
3.1
e,f
4.0
g
82.8
85.2
81.8
87.9
e
46.8
58.0
48.2
51.8
d
76.3
80.5
43.0
32.7
e
59.3
50.0
e,g
30.5
39.2
7.8
7.9
50.2
59.3
20.7
h
31.5
h
5.9
e
10.1
e
13.3
18.5
1.1
1.8
36.8
55.0
d
6.0
6.9
70.2
70.0
e
41.4
62.1
19.4
27.9
89.8
93.4
43.3
53.8
45.6
43.5
e
10.4
12.2
13.2
16.1
70.8
86.5
69.4
71.1
0.3
3.0
d
72.7
75,610
87,185
23
19
65
d
134
d
6,083
e,f
7,578
g
12,875
11,775
7,553
6,833
e
6,721
7,746
10,187
9,644
d
3,320
3,245
1,866
1,308
e
11,772
8,693
e,g
7,559
9,057
61
61
5,104
5,566
1,642
h
2,214
h
14,574
e
23,432
e
4,236
5,182
173
277
2,447
3,242
d
7,272
7,779
17,246
16,343
e
11,255
15,910
1,146
1,561
15,408
12,774
71,014
81,357
83,045
71,378
e
3,132
3,607
3,859
4,605
7,669
8,155
9,247
8,018
25
296
d
4,180
47.8
49.3
41.2
40.8
37.3
d
38.1
d
40.8
e,f
41.4
g
61.3
63.2
54.0
55.2
e
45.1
48.7
54.1
58.7
d
55.6
57.7
44.7
47.1
e
51.7
53.9
e,g
47.3
47.4
40.0
40.1
48.1
53.2
47.4
h
49.6
h
41.3
e
42.4
e
39.4
41.8
36.4
38.5
50.5
58.3
d
39.9
40.9
55.6
56.5
e
47.4
50.6
45.6
49.2
65.0
72.5
55.2
54.7
52.0
50.0
e
41.4
42.2
42.1
42.7
49.7
55.6
56.2
61.3
39.9
38.3
d
55.8
18.8
18.7
6.4
6.5
3.2
d
5.3
d
7.4
e,f
11.2
g
7.6
6.9
12.0
8.5
e
20.4
17.5
17.8
14.0
d
15.7
12.1
26.2
29.9
e
17.9
22.7
e,g
18.7
20.3
18.8
10.7
22.2
18.1
28.6
h
26.6
h
8.1
e
15.4
e
7.4
15.0
2.3
4.7
18.5
11.1
d
10.1
10.7
14.8
14.7
e
18.1
15.5
14.8
15.3
5.9
3.4
17.0
18.2
14.9
13.2
e
12.3
12.3
14.3
53.8
17.9
9.7
14.4
11.7
3.1
3.8
d
16.7
21.0
27.2
1.5
1.2
0.0
d
0.1
d
0.5
e,f
0.7
g
63.8
67.1
48.2
53.5
e
16.4
26.4
27.1
35.9
d
48.5
54.5
12.2
15.1
e
32.4
26.7
e,g
12.1
15.4
1.2
1.5
20.1
32.8
7.2
h
13.3
h
1.1
e
2.3
e
2.5
4.3
0.0
0.2
18.8
35.2
d
1.1
1.6
44.1
43.2
e
18.6
31.6
6.9
12.9
73.5
86.1
25.7
31.4
26.5
21.7
e
2.1
2.8
3.1
15.1
34.6
60.4
45.1
51.6
0.0
0.3
d
46.4
28.4
26.0
36.2
13.8
7.8
d
7.9
d
27.7
e,f
41.4
g
39.0
38.0
25.0
37.8
e
25.9
29.0
24.5
24.8
d
23.8
30.2
10.6
16.2
e
36.5
42.8
e,g
27.7
26.5
16.8
16.9
24.8
28.8
36.6
h
38.4
h
24.7
e
30.4
e
50.1
45.7
4.3
5.5
37.7
32.3
d
31.4
32.0
30.4
31.3
e
27.3
26.0
37.8
38.1
35.9
35.2
26.9
27.2
36.2
43.0
e
19.4
20.2
18.3
17.9
23.8
23.3
36.7
38.4
24.7
18.1
d
24.2
26.6
26.5
34.8
52.6
79.5
d
76.3
d
38.4
e,f
20.4
g
22.5
22.3
26.3
11.1
e
27.7
26.3
31.3
31.7
d
26.2
24.3
32.8
25.6
e
25.8
20.8
e,g
27.1
28.5
51.2
44.8
23.4
22.8
23.1
h
22.6
h
35.1
e
21.0
e
38.6
33.9
83.9
73.4
25.4
32.6
d
25.6
29.0
22.3
20.3
e
28.2
28.0
12.6
12.3
24.0
24.5
32.6
30.8
32.3
19.7
e
29.8
29.0
30.3
29.1
27.2
22.3
33.1
26.1
48.6
60.1
d
28.3
44.9
47.5
29.0
33.6
12.7
d
15.8
d
33.9
e,f
38.2
g
38.5
39.6
48.8
51.1
e
46.4
44.7
44.2
43.5
d
50.0
45.6
56.6
58.2
e
37.7
36.5
e,g
45.2
45.0
32.0
38.3
51.8
48.5
40.3
h
39.0
h
40.2
e
48.7
e
11.3
20.4
11.8
21.2
36.9
35.2
d
43.0
39.0
47.3
48.4
e
44.5
46.0
49.6
49.7
40.0
40.3
40.4
42.0
31.6
37.3
e
50.8
50.8
51.4
53.0
49.0
54.4
30.2
35.5
26.7
21.8
d
47.4
182
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0195.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Population in multidimensional poverty
c
Multidimensional
Poverty Index
b
Year and
survey
a
Value
(%)
Headcount
(thousands)
Intensity of
deprivation
(%)
Population near
multidimensional
poverty
(%)
Population
in severe
poverty
(%)
Contribution of deprivation to overall poverty
(%)
Education
Health
Living standards
Sierra Leone
South Africa
South Africa
Suriname
Suriname
Tajikistan
Tajikistan
The former Yugoslav Republic of Macedonia
The former Yugoslav Republic of Macedonia
Togo
Togo
Uganda
Uganda
Zimbabwe
Zimbabwe
NOTES
2008 D
2012 N
2008 N
2010 M
2006 M
2012 D
2005 M
2011 M
2005 M
2010 M
2006 M
2011 D
2006 D
2010/2011 D
2006 D
0.451
0.041
0.039
f
0.033
d
0.044
0.031
0.059
0.007
d
0.013
0.260
0.277
0.359
0.399
0.181
0.193
79.7
10.3
9.4
f
7.6
d
9.2
7.9
14.7
1.7
d
3.0
50.9
53.1
70.3
74.5
41.0
42.4
4,409
5,400
4,701
f
40
d
46
629
1,002
36
d
64
3,207
3,021
24,712
22,131
5,482
5,399
56.6
39.6
41.5
f
43.1
d
47.4
39.0
39.8
38.4
d
42.2
51.2
52.2
51.1
53.6
44.1
45.4
12.5
17.1
21.4
f
4.7
d
6.3
23.4
18.6
2.4
d
7.1
20.3
20.3
20.6
18.2
24.9
22.8
51.7
1.3
1.4
f
2.0
d
3.6
1.2
2.3
0.1
d
0.7
26.4
28.8
33.3
41.5
12.2
15.7
32.0
8.4
13.4
f
31.0
d
36.7
13.4
11.0
18.5
d
50.7
28.9
31.4
18.0
17.1
7.8
11.5
22.7
61.4
45.6
f
37.2
d
21.1
52.6
57.3
57.2
d
22.3
25.0
23.2
30.2
30.4
37.9
29.6
45.3
30.2
41.1
f
31.8
d
42.2
34.0
31.7
24.3
d
27.0
46.1
45.4
51.9
52.5
54.3
58.9
e
Missing indicators on nutrition.
f
Missing indicator on type of floor.
g
Missing indicator on cooking fuel.
h
Missing indicator on electricity.
DEFINITIONS
Multidimensional Poverty Index:
Percentage
of the population that is multidimensionally poor
adjusted by the intensity of the deprivations. See
Technical note 5
at http://hdr.undp.org for details on
how the Multidimensional Poverty Index is calculated.
Multidimensional poverty headcount:
Population
with a weighted deprivation score of at least
33 percent.
a
D
indicates data from Demographic and Health
Surveys,
M
indicates data from Multiple Indicator
Cluster Surveys, and
N
indicates data from
national surveys (see http://hdr.undp.org for the
list of national surveys).
b
Not all indicators were available for all countries,
so caution should be used in cross-country
comparisons. Where data were missing, indicator
weights are adjusted to total 100%.
c
Based on revised definitions of deprivations
in some indicators compared to the 2010
specificiations—outlined in
Technical note 5
at
http://hdr.undp.org.
d
Missing indicator on child mortality.
Intensity of deprivation of multidimensional
poverty:
Average percentage of deprivation
experienced by people in multidimensional poverty.
Population near multidimensional poverty:
Percentage of the population at risk of suffering
multiple deprivations—that is, those with a
deprivation score of 20–33 percent.
Population in severe poverty:
Percentage of the
population in severe multidimensional poverty—that
is, those with a deprivation score of 50 percent or
more.
Contribution of deprivation to overall poverty:
Percentage of the Multidimensional Poverty Index
attributed to deprivations in each dimension.
MAIN DATA SOURCES
Columns 1 and 2:
Calculated from various
household surveys, including ICF Macro
Demographic and Health Surveys, United Nations
Children’s Fund Multiple Indicator Cluster Surveys
and several national household surveys conducted
between 2005 and 2012.
Columns 3–10:
HDRO calculations based on data
on household deprivations in education, health and
living standards from various household surveys
listed in column 1 using the revised methodology
described in
Technical note 5
(available at http://
hdr.undp.org).
TABLE
6A
TABLE 6A
Multidimensional Poverty Index : changes over time (select countries) | 183
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0196.png
TABLE
7
Health: children and youth
HIV prevention
Infants
exclusively
breastfed
Infants lacking
immunization
(% of one-year-olds)
(% ages 0–5
months)
Antenatal
coverage
HIV prevalence
Child malnutrition
(% under age 5)
(% of live
births)
Child (ages
0–14)
Youth
(% ages 15–24)
Condom use among
young people with
multiple partners
(% ages 15–24)
Pregnant women living
with HIV not receiving
treatment to prevent
mother-to-child
transmission
a
Mortality rates
(per 1,000 live births)
DTP
2012
Measles
2012
Infant
2012
Under-five
2012
Stunting Overweight
(moderate (moderate
or severe) or severe) (thousands) Female
2012
2012
Male
2012
Female
Male
(%)
2011
HDI rank
2008–2012
b
2008–2012
b
2008–2012
b
2008–2012
b
2008–2012
b
2008–2012
b
TABLE
7
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
63.0
..
..
..
48.6
..
..
..
54.0
65.2
..
19.0
c
9.0
c
16.0
c
..
..
1
8
5
1
2
3
6
2
2
3
2
1
3
1
..
1
1
..
4
1
7
1
1
1
2
1
1
1
1
4
6
1
4
2
3
1
1
1
1
6
10
1
1
1
4
1
3
5
6
2
1
2
2
4
1
1
6
6
8
4
8
3
8
2
5
10
8
3
10
7
..
1
4
..
4
11
24
4
4
3
5
10
3
2
1
1
3
14
6
2
7
2
2
1
7
6
10
3
1
1
1
1
5
10
6
4
9
10
2
6
2
1
2
4
4
3
6
3
5
5
2
3
3
2
2
4
..
3
2
..
3
3
3
3
2
2
3
3
4
3
4
7
6
3
3
7
4
4
3
6
6
7
8
3
5
8
4
10
4
8
13
6
14
6
4
11
13
10
3
5
4
4
7
4
6
5
3
4
4
3
2
5
..
4
3
..
4
4
4
4
2
3
3
4
5
4
5
8
7
3
4
9
5
5
3
8
7
8
9
4
6
10
6
11
5
9
14
7
17
6
5
12
15
12
..
98.3
..
..
..
100.0
c
..
100.0
c
..
..
99.5
c
100.0
c
..
..
..
..
..
..
..
99.8
c
..
..
..
99.8
c
99.5
c
99.0
c
..
..
..
99.0
100.0
99.2
c
..
97.0
100.0
c
..
..
96.9
c
100.0
c
100.0
c
..
100.0
c
..
100.0
c
100.0
100.0
..
91.8
c
99.2
c
96.2
c
98.0
c
97.4
c
99.4
93.5
c
93.0
c
99.0
..
..
..
..
3.3
c
..
..
..
4.4
c
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
8.2
c
14.7
c
..
7.0
c
4.0
c
13.0
c
21.0
c
9.8
..
..
..
..
7.0
c
..
..
..
2.6
c
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
9.9
c
10.0
c
..
15.6
c
9.7
c
8.3
c
22.4
c
1.7
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
0.1
..
..
..
0.1
e
..
..
..
0.1
0.2
..
..
0.2
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
0.2
..
..
..
0.1
e
..
..
..
0.2
0.5
..
..
0.3
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
66.4
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
5.0
..
..
..
..
..
5.0
d
..
..
..
5.0
d
..
..
5.0
d
5.0
5.0
..
..
..
5.0
..
..
184
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0197.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
HIV prevention
Infants
exclusively
breastfed
Infants lacking
immunization
(% of one-year-olds)
(% ages 0–5
months)
HDI rank
2008–2012
b
Antenatal
coverage
HIV prevalence
Child malnutrition
(% under age 5)
(% of live
births)
Child (ages
0–14)
Youth
(% ages 15–24)
Condom use among
young people with
multiple partners
(% ages 15–24)
Pregnant women living
with HIV not receiving
treatment to prevent
mother-to-child
transmission
a
Mortality rates
(per 1,000 live births)
DTP
2012
Measles
2012
Infant
2012
Under-five
2012
Stunting Overweight
(moderate (moderate
or severe) or severe) (thousands) Female
2012
2012
Male
2012
Female
Male
(%)
2011
2008–2012
b
2008–2012
b
2008–2012
b
2008–2012
b
2008–2012
b
57 Russian Federation
58 Bulgaria
59 Barbados
60 Palau
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
..
..
..
..
..
..
21.0
13.0
c
14.8
..
..
18.7
c
41.6
31.8
18.6
..
..
76.0
c
23.0
c
12.0
c
22.7
13.7
41.0
54.8
..
70.6
18.0
c
14.7
23.0
18.5
34.6
39.8
c
15.1
6.0
27.6
..
7.0
..
38.6
c
15.0
c
..
42.8
40.0
c
2.8
..
7.8
c
47.8
65.7
11.0
c
51.3
27.0
c
41.5
20.0
c
53.2
24.4
6.0
60.4
3
4
7
1
1
1
1
3
16
1
10
8
2
1
1
2
1
1
1
19
2
9
1
6
1
1
24
1
3
5
2
1
1
1
1
2
1
2
1
1
1
8
1
6
5
8
1
1
2
1
2
9
2
6
4
14
15
2
6
10
9
2
5
1
15
20
2
13
10
2
4
1
2
5
1
2
34
2
13
1
7
6
6
21
4
3
6
3
1
2
4
1
6
5
1
1
7
1
6
6
27
5
21
2
1
1
15
2
20
6
7
9
9
11
17
15
9
7
13
18
8
16
13
9
12
17
14
11
7
8
15
31
16
6
13
18
11
14
9
16
7
6
15
19
11
14
12
21
17
12
15
14
15
15
20
19
11
23
9
23
45
15
19
26
41
18
19
42
33
10
12
18
21
10
9
15
21
9
19
15
10
14
19
16
13
9
10
18
35
19
7
14
20
14
18
11
18
7
7
16
22
13
16
14
23
20
13
17
17
18
18
23
21
13
27
11
28
53
18
23
31
53
21
22
62
41
..
..
100.0
c
90.3
100.0
90.7
..
95.7
c
95.6
c
95.8
94.1
c
89.9
92.0
99.9
95.8
..
100.0
c
99.4
c
98.3
76.6
98.8
99.0
98.2
97.6
100.0
c
95.4
98.5
c
94.0
98.6
98.9
99.1
100.0
99.1
96.0
94.1
99.5
89.4
c
100.0
97.3
99.0
99.2
c
97.0
84.2
c
89.9
97.9
98.9
c
99.1
99.0
99.1
c
93.0
98.8
92.7
94.1
c
73.6
96.3
94.4
85.8
..
..
..
..
..
16.6
c
..
..
..
19.0
15.6
c
5.6
12.3
13.1
13.6
c
..
..
17.0
c
..
25.0
c
7.7
6.6
7.0
c
11.3
..
19.5
..
19.3
4.9
8.9
c
19.3
..
16.0
c
10.1
9.9
..
15.0
c
..
19.0
c
4.8
..
13.2
29.0
c
8.8
c
..
9.8
c
18.9
15.3
19.0
c
..
10.9
35.6
31.4
c
28.9
17.5
c
16.5
27.1
..
..
..
..
..
5.1
..
..
..
..
6.1
c
8.1
..
0.6
9.7
c
..
..
0.8
..
12.9
c
4.4
15.6
7.3
c
19.9
..
9.8
..
7.9
12.4
17.4
c
15.3
..
8.0
c
14.3
6.6
..
12.9
c
..
21.7
c
4.0
..
4.8
5.1
c
4.0
c
..
8.3
6.5
10.9
c
..
..
..
12.3
11.2
c
20.5
7.1
c
7.4
8.5
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
11.0
..
..
3.6
..
..
..
..
..
..
0.1
0.3
..
..
0.3
0.3
0.2
..
..
0.1
..
..
0.1
e
0.1
0.1
..
..
..
0.1
..
0.2
0.5
0.6
..
..
0.1
e
0.1
0.3
0.1
e
..
..
..
..
..
0.5
..
0.2
0.2
0.7
..
0.2
0.1
e
0.1
e
..
..
..
0.5
6.7
0.1
e
0.3
1.6
0.1
..
..
..
..
..
0.1
0.3
..
..
0.4
0.3
0.1
..
..
0.1
..
..
0.1
e
0.1
0.2
..
..
..
0.3
..
0.2
0.4
0.5
..
..
0.1
e
0.1
0.3
0.1
e
..
..
..
..
..
0.9
..
0.3
0.4
0.4
..
0.1
0.1
e
0.1
e
..
..
..
0.4
3.7
0.1
e
0.2
0.4
0.1
..
..
..
..
..
..
..
67.1
c
..
..
..
..
..
73.5
..
..
..
..
..
..
..
64.5
f
..
..
..
38.0
c,f
62.7
c
25.5
c,d
..
..
..
..
..
..
..
..
..
..
..
49.4
..
38.8
..
39.3
c
..
33.9
c
..
..
..
..
..
..
..
..
51.3
55.7
..
..
..
..
..
..
..
..
..
..
..
..
..
..
76.2
..
..
..
..
..
28.6
..
63.3
..
..
..
..
63.7
c
..
..
67.4
..
..
..
..
..
..
..
..
54.9
75.5
..
..
..
..
..
61.8
c
..
68.9
..
..
..
..
..
..
..
76.5
40.7
5.0
d
65.4
..
..
..
5.0
d
5.0
d
..
..
5.0
d
33.4
..
..
5.0
d
30.8
..
..
86.3
75.4
5.0
d
..
66.7
5.0
d
5.0
d
..
5.0
d
5.0
d
16.7
..
..
25.0
..
5.0
f
18.2
33.9
..
24.7
..
..
8.7
..
22.4
5.0
5.0
..
5.0
..
84.2
..
..
..
76.6
5.0
85.7
12.9
27.1
5.0
TABLE
7
29
16
TABLE 7
Health: children and youth | 185
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0198.png
TABLE 7
HEALTH: CHILDREN AND YOUTH
HIV prevention
Infants
exclusively
breastfed
Infants lacking
immunization
(% of one-year-olds)
(% ages 0–5
months)
HDI rank
2008–2012
b
Antenatal
coverage
HIV prevalence
Child malnutrition
(% under age 5)
(% of live
births)
Child (ages
0–14)
Youth
(% ages 15–24)
Condom use among
young people with
multiple partners
(% ages 15–24)
Pregnant women living
with HIV not receiving
treatment to prevent
mother-to-child
transmission
a
Mortality rates
(per 1,000 live births)
DTP
2012
Measles
2012
Infant
2012
Under-five
2012
Stunting Overweight
(moderate (moderate
or severe) or severe) (thousands) Female
2012
2012
Male
2012
Female
Male
(%)
2011
2008–2012
b
2008–2012
b
2008–2012
b
2008–2012
b
2008–2012
b
TABLE
7
114 Moldova (Republic of)
115 El Salvador
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
46.0
c
31.4
26.0
c
34.0
8.0
c
42.6
19.6
33.2
17.0
60.0
c
..
49.6
32.0
c
24.0
c
51.5
31.2
31.0
c
40.0
c
30.6
c
69.0
25.0
c
46.4
c
48.7
73.5
45.7
26.0
c
19.0
c
61.0
c
64.1
51.4
24.0
c
69.6
37.0
c
32.0
44.1
11.0
c
23.6
84.9
20.0
15.1
12.0
c
50.7
31.4
56.0
c
74.0
c
..
49.8
45.9
53.5
39.0
63.2
32.5
41.0
62.4
39.7
..
1.0
c
3
8
1
10
30
32
13
1
1
1
3
2
4
11
31
12
1
22
1
6
4
12
3
3
8
13
10
14
1
2
35
10
12
11
3
1
11
1
6
53
11
4
5
15
6
9
1
5
7
3
11
12
1
6
19
14
15
9
7
1
15
21
39
31
1
4
4
9
7
2
24
38
7
1
48
1
9
6
26
5
7
12
28
20
17
4
8
49
14
17
7
12
15
14
34
24
33
12
28
29
18
19
31
27
24
28
48
19
27
15
21
46
49
44
36
34
49
54
62
56
33
38
72
34
69
49
56
100
41
39
61
78
46
41
56
48
26
58
38
65
74
45
45
59
49
62
57
71
66
18
16
40
30
45
15
34
35
23
22
39
32
27
39
57
23
31
18
24
60
58
56
45
40
72
72
96
89
41
53
100
42
86
73
80
164
52
55
95
124
60
58
90
63
31
78
54
84
100
60
69
90
73
96
76
99
81
98.0
c
94.0
99.0
c
91.1
97.1
87.7
83.8
92.1
93.7
97.6
c
80.0
93.2
96.9
94.6
c
84.4
91.7
77.1
84.3
c
90.2
c
88.4
88.8
74.2
c
97.3
89.1
96.4
35.1
93.0
93.7
c
54.6
97.9
86.1
c
58.3
60.9
c
91.5
96.8
79.8
c
83.1
98.0
84.7
57.7
47.0
c
86.3
89.8
78.8
c
73.9
c
75.0
87.8
75.4
91.8
93.3
93.3
85.8
55.9
71.6
84.5
47.9
92.3
c
10.0
c
19.2
19.0
c
32.0
33.0
c
27.5
22.6
18.2
22.7
..
..
48.0
22.6
29.0
c
58.1
22.6
c
14.9
26.3
c
22.0
c
..
26.2
48.0
c
33.5
39.9
22.7
44.2
30.0
c
45.4
c
41.3
29.3
35.0
c
40.5
43.7
35.3
30.9
29.0
c
35.1
44.2
32.5
35.8
57.7
c
50.1
32.0
43.6
c
32.8
c
30.1
42.0
22.5
39.0
26.5
33.4
44.6
35.0
29.7
21.9
c
59.0
c
30.8
9.1
c
6.0
12.8
c
4.3
19.2
c
17.9
11.8
6.2
4.4
..
..
4.9
4.4
4.6
c
4.7
5.1
c
10.7
4.5
c
6.2
c
..
5.9
1.9
c
7.6
1.6
2.6
2.0
3.3
7.9
c
1.5
10.5
8.3
c
1.5
6.4
4.7
10.7
..
2.6
7.1
6.5
3.0
5.0
c
..
5.5
4.4
c
2.5
c
9.3
5.0
1.2
7.3
2.5
3.4
17.9
..
1.6
3.6
c
4.6
c
8.1
..
..
..
..
410.0
..
..
..
..
..
..
..
..
18.0
..
..
..
..
..
..
..
..
..
..
28.0
..
13.0
160.0
..
..
..
..
..
200.0
22.0
30.0
..
27.0
59.0
430.0
..
..
180.0
3.1
..
..
230.0
..
38.0
..
190.0
9.1
..
17.0
12.0
..
1.2
0.2
0.2
0.1
e
0.1
d
13.9
..
..
0.8
0.1
0.1
e
..
0.2
0.1
4.1
..
0.2
0.1
..
0.2
..
0.1
0.1
0.1
0.2
0.5
0.2
1.3
4.6
0.1
e
0.4
..
0.1
e
0.1
e
3.6
20
1.2
0.1
e
1.3
1.8
1.3
0.1
0.3
6.3
0.1
e
..
1.6
3.6
0.2
10.7
0.3
4
0.4
..
0.9
0.9
0.1
e
0.3
0.2
0.3
0.1
e
0.1
d
3.9
..
..
0.5
0.2
0.1
e
..
0.3
0.2
2.2
..
0.2
0.1
..
0.3
..
0.1
0.1
0.1
0.2
0.3
0.2
0.8
3.5
0.1
e
0.3
..
0.1
e
0.1
e
1.8
10.3
0.6
0.1
e
1
1.0
0.7
0.1
0.3
3.9
0.1
e
..
2.8
1.8
0.1
5.8
0.1
2.3
0.2
..
0.5
0.6
0.1
e
0.2
..
..
..
..
..
..
..
..
..
..
..
27.3
f
..
73.7
..
38.0
c
..
..
..
2.4
f
..
17.1
c,f
..
..
27.2
..
44.0
41.5
c,f
..
..
..
..
..
37.1
68.6
..
..
..
46.5
46.6
..
6.6
38.5
f
..
18.0
c
..
33.9
..
44.9
..
..
34.6
..
39.2
51.6
c
..
..
..
..
..
..
..
..
..
76.1
..
..
..
74.3
75.7
82.2
..
59.0
..
..
..
29.6
..
32.4
c
..
..
39.3
..
55.0
43.1
c
..
59.1
..
45.1
..
67.3
84.5
..
..
..
66.5
..
..
8.8
50.5
..
39.1
52.3
40.6
..
60.3
..
47.3
43.8
..
54.4
61.8
c
..
..
23.9
26.7
5.0
92.1
5.0
..
..
5.0
58.1
..
..
5.0
65.7
5.0
..
34.6
70.0
..
42.9
..
51.9
..
61.5
14.4
9.8
73.7
93.0
5.0
25.0
..
..
71.2
95.5
25.0
5.0
76.4
5.0
34.1
38.4
79.1
97.8
83.7
38.2
74.9
..
..
15.3
95.7
30.0
60.8
43.3
63.9
..
21.0
5.0
99.0
g
80.1
3
16
3
18
58
29
31
10
33
15
15
3
25
15
16
18
28
15
28
42
32
17
186
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0199.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
HIV prevention
Infants
exclusively
breastfed
Infants lacking
immunization
(% of one-year-olds)
(% ages 0–5
months)
HDI rank
2008–2012
b
Antenatal
coverage
HIV prevalence
Child malnutrition
(% under age 5)
(% of live
births)
Child (ages
0–14)
Youth
(% ages 15–24)
Condom use among
young people with
multiple partners
(% ages 15–24)
Pregnant women living
with HIV not receiving
treatment to prevent
mother-to-child
transmission
a
Mortality rates
(per 1,000 live births)
DTP
2012
Measles
2012
Infant
2012
Under-five
2012
Stunting Overweight
(moderate (moderate
or severe) or severe) (thousands) Female
2012
2012
Male
2012
Female
Male
(%)
2011
2008–2012
b
2008–2012
b
2008–2012
b
2008–2012
b
2008–2012
b
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
12.1
33.5
52.0
71.4
29.0
c
20.4
38.3
42.8
48.0
69.3
38.2
52.0
31.6
3.4
34.3
37.0
23.3
65.0
31.0
c
..
67.0
c
..
9.0
c
45.1
35.0
c
..
..
..
..
..
..
..
..
..
..
..
..
..
2
1
20
1
14
15
8
9
14
1
6
1
6
36
31
14
20
3
3
1
2
2
48
21
1
2
2
10
18
8
4
6
4
11
20
10
11
9
15
5
34
10
20
41
31
18
42
7
13
1
20
36
51
27
27
76
49
47
46
56
80
81
63
65
67
66
37
117
89
91
100
63
23
31
3
30
3
91
67
25
5
13
37
64
28
17
20
16
45
64
57
37
35
108
73
68
71
75
128
129
90
101
104
102
52
182
150
129
146
114
29
38
4
37
3
147
104
30
6
15
46
94
37
21
23
19
57
97
84
49
47
90.6
98.1
42.5
94.7
79.3
c
70.4
92.6
92.3
88.4
98.9
94.3
70.3
c
93.0
53.1
68.3
88.8
46.1
100.0
81.2
c
..
94.5
c
..
26.1
c
40.3
97.4
c
..
94.9
78.7
70.5
78.1
93.4
95.2
96.1
71.8
76.9
69.1
92.1
84.8
29.8
23.4
44.4
47.1
41.8
27.8
c
32.2
42.6
34.5
57.7
32.9
44.0
c
44.4
38.7
40.7
43.4
43.9
27.9
..
..
24.0
c
..
42.0
c
31.1
10.0
c
..
..
40.3
39.8
27.7
18.4
15.5
14.6
46.7
37.8
41.1
..
..
3.0
1.9
1.7
8.3
4.6
1.0
3.2
7.4
3.6
2.7
2.4
1.6
c
9.6
2.8
1.8
4.9
2.4
..
..
..
2.8
c
..
4.7
5.4
6.3
c
..
..
5.3
4.2
..
7.0
9.7
..
2.5
4.6
3.8
..
..
63.0
..
170.0
180.0
3.7
..
5.9
180.0
14.0
17.0
21.0
3.1
5.8
34.0
..
88.0
..
..
..
..
..
..
..
19.0
..
..
..
..
..
..
..
..
..
..
200.8
..
..
..
1.2
0.5
0.5
4.5
0.1
e
0.3
1.7
6.6
0.8
0.6
0.5
0.2
1
1.1
..
0.8
0.1
e
..
..
..
..
..
0.2
1.2
..
..
..
..
..
..
..
..
..
..
..
..
..
..
0.7
0.2
0.3
2.7
0.1
e
0.2
0.9
2.8
0.4
0.4
0.4
0.2
0.3
0.6
..
0.4
0.1
d
..
..
..
..
..
0.2
0.6
..
..
..
..
..
..
..
..
..
..
..
..
..
..
34.2
49.3
f
..
31.4
16.2
7.9
f
50.0
38.3
37.0
..
65.3
..
12.4
57.1
f
34.0
c
15.9
..
..
8.8
f
..
8.2
..
..
7.3
..
..
..
..
..
..
..
..
..
..
..
..
..
..
56.5
..
47.2
40.5
27.8
38.0
..
40.8
54.0
..
74.7
..
..
..
46.5
c
..
..
..
22.6
..
16.7
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
18.6
5.0
72.3
39.4
23.1
57.9
59.5
39.0
44.9
38.0
45.8
..
5.0
86.0
25.5
..
57.6
..
..
..
..
..
94.0
90.0
..
..
..
8.3
46.1
..
..
..
11.9
..
34.8
33.7
..
..
TABLE
1
22
1
4
13
54
38
2
6
3
20
27
15
6
7
5
22
28
20
25
16
7
NOTES
a
Estimates are upper limit.
b
Data refer to the most recent year available
during the period specified.
c
Refers to an earlier year than that specified.
d
5 or less.
e
0.1 or less.
f
Based on a small denominator (typically 25–49
unweighted cases).
g
99 or greater.
DEFINITIONS
Infants exclusively breastfed:
Percentage of
children ages 0–5 months who are fed exclusively
with breast milk in the 24 hours prior to the survey.
Infants lacking immunization against DPT:
Percentage of surviving infants who have not
received their first dose of diphtheria, pertussis and
tetanus vaccine.
Infants lacking immunization against measles:
Percentage of surviving infants who have not
received the first dose of measles vaccine.
Infant mortality rate:
Probability of dying between
birth and exactly age 1, expressed per 1,000 live births.
Under-five
mortality rate:
Probability of dying
between birth and exactly age 5, expressed per
1,000 live births.
Antenatal coverage:
Proportion of women who
used antenatal care provided by skilled health
personnel for reasons related to pregnancy at least
once during pregnancy, as a percentage of live births.
Stunted children:
Percentage of children ages 0–59
months who are more than two standard deviations
below the median height-for-age of the World Health
Organization (WHO) Child Growth Standards.
Overweight children:
Percentage of children
ages 0−59 months who are more than two standard
deviations above the median weight-for-height of
the WHO Child Growth Standards.
Children living with HIV:
Estimated number of
children (ages 0–14) living with HIV.
HIV prevalence, youth:
Percentage of the
population ages 15–24 who are living with HIV.
Condoms use among young people with multiple
partners:
Proportion of young people (ages 15–24)
who reported having had more than one sexual partner
in the past 12 months and who used a condom the last
time they had sex with any partner, expressed as a
percentage of all young people with multiple partners.
Pregnant women living with HIV not receiving
treatment to prevent mother-to-child
transmission:
Proportion of pregnant women living
with HIV who are not receiving antiretroviral medicines
to prevent mother-to-child transmission, expressed as
a percentage of all pregnant women living with HIV.
MAIN DATA SOURCES
Columns 1 and 6–13:
UNICEF 2014.
Columns 2 and 3:
HDRO calculations based on data
from UNICEF (2014).
Columns 4 and 5:
Inter-agency Group for Child
Mortality Estimation 2013.
Column 14:
WHO 2013a.
TABLE 7
Health: children and youth | 187
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0200.png
TABLE
8
Adult health and health expenditures
Adult mortality rate
(per 1,000 people)
Age-standardized
death rates
(per 100,000 people)
Age-
standardized
HIV
obesity
prevalence
rate, adult rate, adult
(% of
population
ages 20
and older)
2008
Life expectancy
At age 60
Health-adjusted
(years)
(% ages
15–49)
2012
(years)
2010/2015
a
Female
2010
Male
2010
(per 10,000
people)
2003–2012
b
Health expenditure
Physicians
Total
Out of pocket
(% of total
health
expenditure)
2011
Female
HDI rank
2011
Male
2011
From alcohol
use
From drug use
2008
2008
(% of GDP)
2011
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
49
46
41
55
77
51
55
53
41
62
51
44
38
57
..
42
46
..
44
53
49
59
52
51
51
40
41
60
43
71
52
38
69
52
92
72
44
70
42
64
58
50
93
51
75
44
60
89
85
80
116
81
103
84
134
78
131
77
80
69
72
131
96
85
84
72
103
85
71
64
91
..
102
84
..
75
113
94
102
84
116
118
73
91
132
102
105
74
79
207
71
267
191
93
170
77
85
113
117
208
69
119
61
140
237
154
152
190
154
307
209
411
157
351
2.9
1.0
2.3
0.9
2.1
4.3
0.4
1.6
..
6.9
1.6
2.8
0.9
1.4
..
2.2
0.3
..
0.8
4.2
3.2
1.7
3.7
3.5
4.1
0.2
0.6
1.3
0.1
..
..
0.0
8.8
0.4
0.7
3.7
0.4
0.0
0.2
1.1
3.0
0.9
3.3
0.5
2.1
0.1
2.9
1.9
1.7
1.2
4.9
..
3.1
2.9
0.0
0.4
3.5
0.9
0.5
3.0
0.1
1.6
0.9
0.3
1.2
..
0.5
2.2
1.5
0.3
1.8
..
0.2
0.0
..
1.4
0.5
2.6
0.4
1.0
0.7
0.3
0.7
1.4
0.3
..
0.5
0.0
0.1
0.6
0.2
0.4
0.1
1.2
1.5
..
0.3
0.8
1.5
1.5
0.5
0.0
..
1.6
1.5
0.9
0.3
0.2
..
2.3
0.0
6.9
0.2
4.5
19.8
25.1
14.9
16.2
31.8
21.3
27.0
24.3
6.4
16.2
24.5
16.6
21.9
24.9
..
7.3
4.5
..
25.5
15.6
18.3
19.1
23.4
19.9
27.0
17.2
24.1
28.7
17.5
7.9
33.1
23.4
18.9
35.2
24.7
23.2
24.2
24.6
26.6
33.7
29.1
21.6
24.8
32.6
20.5
42.8
21.3
22.0
29.4
23.6
35.0
21.8
23.4
17.7
30.8
22.0
24.9
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
0.4
..
..
..
0.1
c
..
..
..
0.4
0.7
..
..
0.4
..
..
..
..
24.0
25.1
25.0
23.5
23.2
23.5
24.1
24.4
24.5
22.4
23.4
24.1
24.3
23.5
25.4
24.0
26.1
..
24.3
25.1
23.9
23.6
23.4
23.8
22.8
24.7
24.8
21.1
23.5
21.4
21.2
22.0
20.2
19.2
19.1
21.1
..
19.8
22.3
19.8
23.6
23.2
19.9
19.5
22.9
17.6
20.6
19.1
21.4
21.8
22.3
19.2
17.1
19.4
19.7
20.5
17.5
69.7
71.8
72.4
70.2
69.5
70.9
70.7
70.9
72.6
69.5
70.5
71.2
69.9
70.1
..
72.6
75.5
..
70.9
71.9
71.2
70.6
69.9
69.6
70.7
71.9
73.0
69.6
70.4
68.6
67.4
70.6
69.3
66.6
68.4
69.3
72.2
68.3
70.6
66.2
71.0
70.7
67.3
65.2
66.9
67.0
68.3
67.2
68.7
70.0
66.9
66.1
65.6
67.3
63.6
66.4
64.5
66.3
68.4
69.1
67.9
66.2
67.1
67.7
68.3
69.6
66.3
67.2
68.0
66.9
67.1
..
67.9
70.6
..
68.3
67.0
67.0
66.5
66.9
65.0
65.7
68.3
68.8
64.8
67.0
66.2
66.2
67.1
61.7
63.9
60.0
62.8
68.3
62.4
66.7
64.7
66.2
66.4
61.1
64.3
63.5
65.3
63.6
60.0
63.5
64.0
59.4
63.3
56.4
61.4
62.2
63.6
55.4
..
38.5
40.8
..
24.2
36.9
27.4
20.7
19.2
..
..
38.7
34.6
27.7
..
20.2
21.4
..
31.1
33.8
48.6
37.8
27.8
..
25.4
38.0
39.6
37.1
..
13.6
27.6
27.5
33.4
9.4
36.4
20.7
39.1
30.0
32.3
19.3
10.3
..
34.1
14.9
67.2
17.9
27.2
29.0
31.6
37.4
28.2
20.3
37.6
23.9
19.0
20.5
43.1
9.1
9.0
10.9
12.0
17.9
11.1
10.1
11.2
4.6
11.2
9.4
9.4
9.1
9.3
..
7.2
9.3
..
7.7
11.6
10.6
10.6
7.7
8.9
9.1
9.5
9.4
7.4
10.8
2.5
1.9
7.4
6.0
3.7
6.6
6.7
7.2
8.7
8.7
3.3
7.5
10.4
7.7
3.8
10.0
2.7
7.8
6.2
8.1
8.0
7.7
9.3
5.3
5.8
4.4
2.3
6.2
13.6
19.8
25.0
5.1
11.3
12.4
10.5
14.4
60.4
13.2
14.5
16.9
18.2
9.2
..
32.9
16.4
..
21.4
7.5
16.3
19.1
11.4
19.2
13.0
19.9
20.1
15.1
36.7
14.8
13.6
49.4
18.6
18.0
27.9
22.9
19.6
26.2
33.9
16.2
37.2
27.3
26.2
16.6
5.3
16.1
14.6
39.6
24.7
13.1
28.7
30.0
26.7
19.4
31.2
11.4
35.4
188
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0201.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Adult mortality rate
(per 1,000 people)
Age-standardized
death rates
(per 100,000 people)
Age-
standardized
HIV
obesity
prevalence
rate, adult rate, adult
(% of
population
ages 20
and older)
2008
Life expectancy
At age 60
Health-adjusted
(years)
Physicians
Health expenditure
Total
Out of pocket
(% of total
health
expenditure)
2011
Female
HDI rank
2011
Male
2011
From alcohol
use
From drug use
2008
2008
(% ages
15–49)
2012
(years)
2010/2015
a
Female
2010
Male
2010
(per 10,000
people)
2003–2012
b
(% of GDP)
2011
58 Bulgaria
59 Barbados
60 Palau
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
86
70
109
164
90
94
104
99
82
90
66
68
152
95
101
83
77
85
85
99
86
100
88
122
93
120
139
74
66
94
153
102
72
81
115
100
118
87
103
88
76
89
111
242
148
61
147
201
105
..
166
238
85
97
266
165
109
138
194
122
231
203
174
208
222
148
148
198
114
123
337
177
220
170
191
154
175
146
175
202
227
196
119
310
210
137
141
228
244
207
134
112
176
123
222
123
188
180
154
162
194
123
165
91
309
375
177
..
200
301
141
176
300
222
269
294
0.8
0.7
0.1
5.5
0.9
4.1
0.8
2.0
0.3
0.6
1.3
..
3.1
1.1
4.5
4.4
5.2
1.2
1.7
0.7
..
4.8
0.2
3.7
1.0
3.6
2.0
1.8
0.2
1.3
0.2
1.9
1.6
0.9
4.1
0.5
1.9
0.1
0.1
1.9
0.0
3.7
0.7
0.0
1.8
3.6
0.8
5.9
0.1
..
1.0
0.6
0.4
3.2
0.7
1.5
2.8
22.8
0.1
..
0.0
..
0.4
0.5
0.4
4.6
0.8
0.8
0.4
0.2
4.0
0.2
0.5
..
0.4
11.1
0.5
1.7
..
0.5
3.7
0.9
1.0
2.3
0.3
1.0
2.8
0.6
..
0.9
4.6
0.0
0.7
0.2
0.7
0.7
0.0
..
1.2
1.2
0.2
0.2
0.1
1.5
0.0
0.5
0.2
..
1.0
0.3
13.5
0.3
0.3
1.2
0.2
0.1
21.4
33.4
50.7
25.8
14.1
18.2
30.0
28.2
25.8
30.8
24.6
29.3
24.4
32.8
24.6
40.9
5.0
21.6
24.7
34.3
23.0
19.5
21.2
24.0
16.5
20.1
34.9
20.3
24.2
23.4
31.9
8.5
23.8
5.6
25.1
17.5
25.0
21.1
24.6
22.3
18.1
22.0
25.8
59.6
21.9
16.1
16.4
14.3
55.5
..
4.7
13.5
34.6
19.2
15.0
18.9
20.4
26.9
..
..
..
..
0.4
1.2
..
..
0.7
0.6
0.3
..
..
0.2
..
..
0.1
0.2
0.2
..
..
..
0.3
..
0.4
0.9
1.4
..
..
0.2
0.2
1.1
0.1
c
..
..
..
..
..
1.7
..
0.5
0.6
1.1
..
0.7
0.1
c
0.1
c
..
..
..
0.4
23.0
0.1
c
0.3
4.0
0.3
0.7
0.6
18.8
19.5
..
21.5
19.0
19.3
17.8
22.7
23.9
21.1
23.8
20.9
16.5
22.7
19.4
..
19.6
19.9
18.3
19.0
18.7
21.8
19.8
18.5
21.5
17.4
21.5
19.1
20.2
20.0
17.0
21.4
20.2
19.5
19.7
17.9
..
21.1
21.3
21.0
21.3
23.6
18.5
18.6
21.9
21.0
16.3
17.0
18.9
18.7
17.8
16.4
17.5
20.8
18.2
18.6
16.2
22.0
66.8
64.7
..
65.5
66.4
66.8
63.3
67.5
69.0
68.5
70.5
66.0
62.4
69.1
62.7
..
68.6
65.3
65.1
63.2
68.0
66.6
66.9
61.7
66.6
64.9
61.5
66.4
68.1
67.2
59.0
67.8
67.5
70.4
62.5
64.6
65.0
67.0
64.6
64.1
67.1
68.5
63.0
63.2
64.5
68.9
60.3
63.0
63.2
64.0
62.5
61.3
60.8
64.4
52.8
61.5
64.6
67.0
61.5
61.9
..
61.2
62.6
61.2
55.7
65.9
64.3
61.7
67.3
61.8
53.9
64.7
54.2
..
62.3
61.5
59.9
64.8
64.0
61.1
59.3
57.4
64.8
56.6
57.3
63.2
64.4
59.9
57.1
62.7
64.6
65.5
58.1
63.8
58.3
62.5
61.0
59.0
62.4
64.4
58.5
58.9
60.1
67.3
53.0
57.1
59.8
60.5
59.3
57.1
57.5
61.3
47.4
60.1
57.5
60.5
37.6
18.1
13.8
..
12.0
10.6
11.8
35.4
..
..
..
17.1
38.4
19.6
15.1
..
4.9
8.9
33.8
25.6
21.1
17.6
42.4
6.6
9.2
35.2
8.3
26.2
16.9
28.5
4.3
3.0
12.2
14.6
..
12.1
..
11.1
4.1
..
14.7
16.9
9.1
5.6
..
16.0
27.6
..
4.8
..
2.0
3.4
28.3
..
2.9
..
36.4
16.0
7.3
7.7
10.6
5.9
3.6
5.9
5.7
6.3
8.2
5.2
10.9
6.7
3.9
6.2
3.8
4.4
3.4
6.0
5.2
8.4
10.4
8.9
9.9
6.2
4.8
7.2
5.7
6.6
10.2
4.3
3.8
4.1
6.2
5.2
4.9
3.9
5.9
6.3
4.9
7.2
6.1
7.3
5.3
5.3
5.4
8.5
5.3
2.7
7.0
..
2.7
5.1
4.9
9.7
3.2
4.9
11.4
6.8
43.2
29.0
11.6
28.2
41.7
53.0
38.5
56.5
26.8
57.0
27.2
16.1
41.5
46.5
5.4
41.8
45.9
58.5
70.1
24.7
36.2
31.3
69.5
50.5
38.4
45.2
23.4
38.3
31.3
57.4
21.0
13.7
39.5
34.8
18.3
18.2
23.6
55.0
32.5
51.1
17.0
49.4
11.0
11.1
40.0
49.1
39.7
39.2
7.1
..
49.9
5.0
58.2
56.1
46.6
25.8
44.9
32.3
TABLE
8
TABLE 8
Adult health and health expenditures | 189
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0202.png
TABLE 8 ADULT HEALTH AND HEALTH EXPENDITURES
Adult mortality rate
(per 1,000 people)
Age-standardized
death rates
(per 100,000 people)
Age-
standardized
HIV
obesity
prevalence
rate, adult rate, adult
(% of
population
ages 20
and older)
2008
Life expectancy
At age 60
Health-adjusted
(years)
Physicians
Health expenditure
Total
Out of pocket
(% of total
health
expenditure)
2011
Female
HDI rank
2011
Male
2011
From alcohol
use
From drug use
2008
2008
(% ages
15–49)
2012
(years)
2010/2015
a
Female
2010
Male
2010
(per 10,000
people)
2003–2012
b
(% of GDP)
2011
TABLE
8
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
132
137
407
75
116
258
87
103
152
155
135
242
224
114
89
117
119
164
156
159
157
220
217
164
287
377
136
189
331
157
152
294
504
331
181
291
372
360
185
167
473
235
159
229
322
218
541
239
363
270
216
313
223
245
308
310
237
265
213
256
474
132
207
379
128
269
177
282
279
282
259
163
141
166
204
340
180
247
210
260
252
204
332
426
163
234
369
183
186
346
558
383
231
344
415
393
234
213
501
312
201
275
363
287
583
293
410
326
279
359
258
289
352
348
295
306
0.3
0.9
0.9
0.6
0.3
1.1
0.9
0.5
0.1
14.7
1.7
0.5
0.9
13.7
0.8
0.1
10.5
..
0.5
1.2
1.1
1.2
1.8
1.2
0.7
0.8
1.0
1.8
1.0
1.0
0.4
0.7
0.7
1.3
1.1
0.9
0.8
0.9
0.5
0.8
0.8
1.1
0.1
0.6
0.8
0.8
0.5
0.8
0.8
0.8
1.3
0.8
9.2
0.7
0.1
1.1
0.8
0.7
1.0
0.3
0.4
2.9
6.9
0.6
1.7
0.4
0.2
9.4
1.3
0.3
1.0
0.3
8.0
0.3
0.3
0.1
3.4
1.9
2.2
7.1
2.1
8.9
0.2
0.3
2.3
0.4
0.3
1.2
6.0
0.2
0.3
0.3
3.8
0.0
0.3
1.7
13.1
0.4
0.1
1.0
0.2
0.3
0.0
0.3
0.4
0.0
0.1
0.2
3.5
0.2
0.3
33.1
14.9
0.3
0.3
0.0
17.3
6.4
33.5
31.6
29.4
16.9
1.6
11.5
42.0
20.7
17.2
10.9
2.9
19.8
17.3
29.8
24.2
45.8
9.9
1.9
5.5
2.3
8.0
3.0
5.3
4.2
1.1
11.3
11.5
1.5
5.9
4.7
23.4
7.2
4.1
4.3
11.1
7.1
16.7
1.7
8.6
15.9
32.1
4.4
5.4
14.0
16.9
8.0
4.6
6.5
6.6
4.6
8.4
2.4
10.4
6.7
8.5
1.2
0.1
0.1
c
17.9
..
..
1.3
0.4
0.2
..
0.7
0.3
13.3
..
0.5
0.1
..
0.3
..
0.3
0.3
0.2
0.8
1.4
0.3
2.8
12.7
0.1
c
1.0
..
0.3
0.1
c
6.1
26.5
2.3
0.6
2.9
4.5
3.1
0.1
0.5
14.7
0.5
..
2.1
5.1
0.4
23.1
0.5
7.2
1.1
..
2.9
2.1
0.1
c
1.2
3.2
1.3
1.3
18.3
17.0
16.0
19.9
17.5
16.6
22.4
19.9
17.3
21.5
16.8
17.3
16.9
22.1
17.9
18.0
22.2
17.4
18.2
17.0
19.5
23.8
15.5
17.1
17.1
17.0
18.4
18.2
15.9
17.1
17.4
17.8
16.3
15.7
16.6
17.8
16.4
13.7
16.2
16.9
18.8
14.9
16.9
15.9
17.9
16.4
15.5
16.2
17.5
15.6
17.4
14.5
17.2
15.9
17.5
13.9
15.2
17.8
61.7
63.2
52.7
67.5
60.9
57.6
69.1
66.4
58.6
63.8
61.4
55.1
59.2
62.2
61.9
57.4
66.3
54.7
61.0
57.7
61.5
60.0
56.1
57.8
51.6
48.7
59.8
60.6
51.1
59.9
58.0
56.8
43.3
54.0
58.3
56.4
51.4
50.8
55.3
54.7
46.1
51.5
55.3
54.6
52.6
55.0
42.6
56.5
52.8
55.1
58.1
52.0
37.1
46.2
54.1
50.6
54.2
53.5
57.1
57.4
49.1
64.6
60.8
52.5
62.6
60.8
55.2
58.1
54.1
50.0
56.9
61.0
60.3
54.3
61.9
49.6
56.5
54.9
58.2
55.9
54.5
54.1
48.4
46.8
57.1
58.5
46.7
57.6
55.2
54.2
40.4
49.7
53.2
53.2
49.0
50.0
55.3
53.0
43.3
49.6
53.0
53.4
51.8
53.5
37.7
54.8
50.1
52.2
55.9
50.0
27.8
48.5
52.9
45.4
52.3
51.4
25.4
11.5
7.6
15.0
6.1
2.1
12.2
3.0
1.8
9.3
24.7
3.7
1.0
3.7
6.2
1.2
3.7
3.8
19.0
6.5
0.7
2.3
0.9
1.9
1.0
0.7
3.6
4.9
3.0
2.1
8.1
1.8
1.7
1.7
5.0
0.6
0.8
4.0
2.0
1.6
0.6
0.5
2.2
1.5
0.1
1.3
0.5
0.6
1.2
0.6
2.8
0.5
..
1.9
2.3
1.4
1.1
0.3
5.4
4.1
8.5
3.7
8.3
5.9
6.8
4.8
13.4
6.7
6.5
5.3
5.1
8.6
6.0
4.1
10.1
10.1
5.8
3.9
4.1
5.7
4.8
2.8
2.5
6.1
3.7
7.7
4.0
5.4
2.5
4.5
8.0
3.5
2.0
10.8
5.2
5.3
5.5
4.1
..
4.3
8.8
5.3
7.3
5.4
12.8
6.0
9.5
4.6
8.4
8.0
7.9
9.6
7.9
6.8
4.4
4.7
43.9
55.9
7.2
51.0
19.3
18.0
55.7
23.4
9.0
53.4
34.4
7.7
4.0
47.9
58.0
6.9
42.2
1.3
60.1
59.4
15.3
56.9
29.1
39.7
31.5
27.0
61.3
56.9
31.6
54.8
63.0
46.4
13.1
27.3
80.7
21.4
65.1
60.4
78.1
25.2
..
11.7
3.0
42.2
31.7
37.3
17.9
32.7
47.8
42.6
69.1
40.4
22.1
79.4
31.6
64.3
22.3
33.8
190
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0203.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Adult mortality rate
(per 1,000 people)
Age-standardized
death rates
(per 100,000 people)
Age-
standardized
HIV
obesity
prevalence
rate, adult rate, adult
(% of
population
ages 20
and older)
2008
Life expectancy
At age 60
Health-adjusted
(years)
Physicians
Health expenditure
Total
Out of pocket
(% of total
health
expenditure)
2011
Female
HDI rank
2011
Male
2011
From alcohol
use
From drug use
2008
2008
(% ages
15–49)
2012
(years)
2010/2015
a
Female
2010
Male
2010
(per 10,000
people)
2003–2012
b
(% of GDP)
2011
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
NOTES
a
Data are annual average of projected values for
2010–2015.
b
Data refer to the most recent year available
during the period specified.
c
0.1 or less.
DEFINITIONS
Adult mortality rate:
Probability that a 15-year-old
will die before reaching age 60, expressed per 1,000
people.
Age-standardized death rate from alcohol use:
The weighted average of the age-specific mortality
rates from alcohol use per 100,000 people, where
the weights are the proportions of people in the
347
292
304
352
421
294
321
236
259
438
311
420
358
272
131
392
51
57
46
316
344
283
59
89
157
270
111
99
104
98
153
327
246
155
127
384
331
369
405
457
348
370
298
347
459
373
466
411
312
203
433
110
105
56
399
378
251
109
152
230
313
160
137
216
181
228
372
289
206
188
0.8
0.9
0.9
0.9
0.7
0.9
0.9
0.9
0.6
1.2
1.0
0.9
0.9
1.1
0.8
0.2
2.0
0.9
..
2.1
..
0.2
1.9
1.6
1.3
0.9
0.7
1.0
2.3
3.4
1.1
0.9
1.0
3.0
1.4
0.3
0.3
0.3
0.3
0.3
0.3
0.2
0.3
0.2
0.0
0.3
0.2
0.2
0.3
0.6
0.2
..
..
..
6.4
..
0.1
1.0
0.9
2.3
2.9
6.6
0.4
1.4
0.8
3.2
0.6
2.7
0.3
1.7
4.5
5.5
4.8
5.4
5.4
4.7
3.3
2.4
1.8
7.0
3.1
3.7
1.9
2.5
3.8
46.5
..
71.1
..
5.3
..
..
22.0
12.5
5.9
5.4
25.5
5.6
23.1
23.6
3.2
7.6
3.6
18.6
11.6
10.8
0.9
0.9
3.9
11.1
1.7
1.3
1.0
0.7
1.5
2.7
..
1.1
0.5
..
..
..
..
..
0.5
2.7
..
..
..
..
..
..
..
..
..
..
..
..
..
..
17.0
15.4
15.4
14.9
16.8
14.8
16.0
15.1
15.1
12.5
15.6
15.9
15.2
15.5
16.8
..
..
..
..
16.1
16.4
..
23.0
19.9
18.5
16.2
19.0
18.5
18.7
21.2
18.6
16.6
16.8
19.3
20.7
46.4
47.9
48.4
49.5
46.1
50.6
46.8
48.8
52.0
50.7
48.6
41.7
48.1
49.4
64.4
55.8
..
..
..
48.2
..
..
70.9
68.6
59.5
53.0
61.8
68.2
64.8
66.8
58.3
51.6
53.7
57.1
63.7
43.7
47.6
48.8
46.7
42.9
49.8
45.5
45.4
50.3
47.6
45.1
37.7
44.7
48.5
60.3
53.1
..
..
..
46.8
..
..
66.9
63.6
56.3
50.7
60.0
63.5
58.9
62.0
55.5
49.4
51.3
52.5
59.8
0.2
0.1
0.8
0.7
0.3
1.0
0.3
0.5
0.5
0.2
0.4
0.5
1.1
0.2
32.9
4.4
70.6
7.1
48.8
0.4
..
10.9
27.8
17.2
7.4
2.8
13.7
12.1
26.2
..
6.3
1.8
1.7
25.5
13.4
8.4
19.5
6.8
6.3
6.6
6.0
8.7
6.5
2.6
18.8
4.3
3.8
8.5
5.3
..
16.5
4.4
..
7.2
..
1.6
17.3
12.2
6.0
4.6
5.2
4.3
4.8
6.3
7.6
4.2
6.3
5.6
5.6
10.1
14.2
17.7
54.3
41.3
9.0
67.4
43.6
36.6
51.2
74.9
70.5
43.4
43.5
37.6
..
12.6
7.0
8.0
14.7
..
55.4
0.1
13.7
33.8
44.7
52.7
31.1
35.9
28.5
34.4
59.7
27.6
48.2
33.6
17.8
TABLE
8
corresponding age groups of the World Health
Organization standard population.
Age-standardized death rate from drug use:
The weighted average of the age-specific mortality
rates from drug use per 100,000 persons, where
the weights are the proportions of people in the
corresponding age groups of the WHO standard
population.
Age-standardized obesity rate, adult:
The
weighted average of the age-specific obesity rate
(with obesity defined as having a body mass index
of 30 kilograms per square meter or higher) among
adults ages 20 and older, expressed as a percentage
of the total population ages 20 and older.
HIV prevalence rate, adult:
Percentage of the
population ages 15–49 who are living with HIV.
Life expectancy at age 60:
Additional number
of years that a 60-year-old could expect to live if
prevailing patterns of age-specific mortality rates
stay the same throughout the rest of his or her life.
Health-adjusted life expectancy:
Average
number of years that a person can expect to live in
full health, taking into account years lived in less
than full health due to disease and injury.
Physicians per 10,000 people:
Number of
medical doctors (physicians), both generalists and
specialists, expressed per 10,000 people.
Health expenditure, total:
Current and capital
spending on health from government (central and
local) budgets, external borrowing and grants
(including donations from international agencies
and nongovernmental organizations) and social (or
compulsory) health insurance funds, expressed as a
percentage of GDP.
Out-of-pocket health expenditure:
Household
direct payments to public and private providers of
health care services and nonprofit institutions and
nonreimbursable cost sharing, such as deductibles,
copayments and fee for services, expressed as a
percentage of total health expenditure.
MAIN DATA SOURCES
Columns 1–6 and 10:
WHO 2013a.
Column 7:
UNDESA 2013a.
Columns 8 and 9:
Salomon and others 2012.
Column 11:
World Bank 2013a.
Column 12:
WHO 2013b.
TABLE 8
Adult health and health expenditures | 191
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0204.png
TABLE
9
Education
Literacy rates
Population
with at
least some
secondary
education
Pre-primary
Gross enrolment ratios
Primary
school
dropout
rates
(% of
primary
school
cohort)
Primary
school
teachers
trained
to teach
Education quality
Pupil–
teacher
ratio
Adult
(% ages
15 and
older)
HDI rank
Youth
Primary
Secondary
Tertiary
Performance of 15-year-old students
Education
expenditure
(% ages
15–24)
(% of
(% of
(% of
(% of
children of
primary
secondary
tertiary
(% ages 25 pre-school school-age school-age school-age
age)
population) population) population)
and older)
(%)
Mathematics
a
Reading
b
2012
2012
Science
c
2012
(number of
pupils per
teacher) (% of GDP)
2003–2012
d
2005–2012
d
2005–2012
d
2005–2012
d
2005–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
..
..
..
..
..
..
..
..
95.9
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
99.7
99.0
97.7
..
97.3
95.4
96.3
98.7
99.8
87.2
99.7
99.7
..
..
92.4
90.0
98.6
95.4
99.0
94.6
99.8
93.9
98.9
99.8
97.9
98.1
..
98.5
99.6
97.7
89.5
86.9
..
..
..
..
..
..
..
..
99.8
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
99.9
99.9
99.6
..
99.4
99.7
96.8
99.8
99.8
98.0
99.8
100.0
..
..
98.3
95.0
98.9
99.7
98.9
98.2
100.0
98.6
99.6
99.7
99.2
98.8
..
99.3
99.8
97.2
99.9
97.7
97.1
94.4
e
95.7
89.0
95.0
96.6
95.2
100.0
77.4
96.1
f
79.6
86.9
91.3
99.9
75.4
82.9
g
86.4
..
85.8
80.5
100.0
80.1
100.0
f
100.0
96.9
75.7
69.9
99.8
63.1
63.8
g
60.5
78.7
100.0
f
66.5
91.4
82.3
49.4
99.3
73.3
62.7
74.8
48.0
98.3
e
78.0
g
77.1
g
56.0
89.1
g
98.9
56.3
g
52.5
89.6
89.2
g
89.3
88.9
49.6
g
53.9
99
95
100
90
73
112
93
71
..
100
67
95
97
85
101
118
87
95
97
110
101
119
89
70
91
98
127
103
76
92
73
79
90
13
77
74
112
90
114
71
112
83
87
50
109
81
64
90
75
89
..
61
103
78
10
55
99
104
103
108
99
101
100
99
..
100
105
101
99
107
101
104
103
105
104
108
100
104
97
99
98
100
104
102
103
95
103
101
98
103
99
99
..
102
96
108
102
112
101
..
99
106
94
105
118
112
108
101
99
96
114
109
113
133
96
128
94
102
120
102
..
120
118
97
109
97
106
97
102
111
102
110
98
106
101
107
98
101
129
96
111
108
112
93
109
114
107
97
..
94
95
..
90
110
101
96
90
100
98
99
90
90
93
91
106
96
104
94
73
83
54
76
95
57
81
..
..
74
73
74
81
61
60
101
60
44
62
57
71
69
18
96
85
64
83
65
91
24
12
47
72
51
77
74
..
55
39
..
71
66
60
33
62
22
59
67
75
63
..
56
91
52
61
16
0.7
..
..
..
6.9
3.4
..
..
1.3
1.1
..
4.4
2.9
..
1.0
1.0
0.1
20.6
1.1
..
0.6
6.7
..
0.4
1.4
0.5
2.2
0.8
2.6
3.6
6.4
4.7
2.5
1.3
3.6
1.5
35.4
1.9
3.7
15.6
2.1
..
1.9
2.2
3.5
5.9
0.7
6.9
4.7
5.3
10.5
19.5
0.9
5.2
..
6.4
..
..
..
..
..
..
..
..
94
..
..
..
..
..
96
..
..
..
..
..
..
..
..
..
..
..
..
..
..
88
49
..
..
91
..
..
100
..
..
100
..
..
..
82
100
78
100
..
..
..
92
..
100
..
..
..
489
504
531
523
481
514
500
518
573
500
501
478
493
494
561
554
536
535
466
495
506
515
490
519
501
485
484
499
453
..
376
440
521
..
479
518
..
482
..
434
423
487
477
..
..
..
471
491
388
409
..
410
..
445
..
..
504
512
509
511
498
508
512
523
542
496
523
483
483
499
545
536
538
516
486
505
490
509
488
524
481
490
488
493
477
..
388
449
516
..
477
518
..
463
..
442
441
488
488
..
..
..
485
489
396
411
..
422
..
438
..
..
495
521
515
522
497
524
516
525
551
498
522
485
478
514
555
538
547
525
470
499
506
505
491
545
514
494
496
508
467
..
384
438
541
..
496
526
..
471
..
448
445
489
494
..
..
..
491
502
406
416
..
410
..
439
..
..
..
..
..
..
14
12
15
..
17
..
16
9
10
17
14
19
17
8
13
18
11
11
9
14
17
10
12
19
10
11
10
13
12
11
12
10
10
15
13
18
22
11
11
12
9
9
14
11
16
14
14
8
15
17
..
20
6.9
5.1
5.4
6.0
5.6
5.1
7.2
5.5
3.3
8.7
6.5
7.0
7.8
5.6
3.4
5.0
3.8
2.1
6.0
5.9
6.0
6.6
..
6.8
5.7
4.5
5.0
4.2
4.1
3.3
2.5
7.3
5.7
5.6
5.4
5.2
3.0
4.2
5.4
..
4.1
5.8
4.9
2.9
12.9
3.8
4.3
5.0
5.8
2.9
..
..
5.2
4.2
..
4.3
192
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0205.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Literacy rates
Population
with at
least some
secondary
education
Pre-primary
Gross enrolment ratios
Primary
school
dropout
rates
(% of
primary
school
cohort)
Primary
school
teachers
trained
to teach
Education quality
Adult
(% ages
15 and
older)
HDI rank
Youth
Primary
Secondary
Tertiary
Performance of 15-year-old students
Pupil–
teacher
ratio
Education
expenditure
(% ages
15–24)
(% of
(% of
(% of
(% of
children of
primary
secondary
tertiary
(% ages 25 pre-school school-age school-age school-age
age)
population) population) population)
and older)
(%)
Mathematics
a
Reading
b
2012
2012
Science
c
2012
(number of
pupils per
teacher) (% of GDP)
2003–2012
d
2005–2012
d
2005–2012
d
2005–2012
d
2005–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
57 Russian Federation
58 Bulgaria
59 Barbados
60 Palau
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
99.7
98.4
..
..
99.0
93.1
88.8
98.8
89.6
94.1
95.5
96.3
94.1
99.7
93.5
91.8
..
91.2
85.0
99.8
95.9
98.0
90.4
99.7
..
89.6
99.7
..
97.4
98.0
99.6
..
93.5
79.1
95.1
..
72.6
..
96.8
87.0
..
93.6
91.6
94.7
99.0
90.1
98.4
97.4
99.6
98.8
95.3
92.8
85.1
73.9
93.9
89.0
91.2
99.7
97.9
..
..
..
98.4
96.8
99.6
98.7
97.6
98.5
98.3
98.7
99.8
98.5
99.1
..
98.2
98.7
100.0
99.1
99.3
97.5
99.8
..
97.4
99.8
..
98.7
99.7
99.8
..
98.1
97.2
99.6
..
91.8
..
98.8
95.6
..
98.2
98.7
98.4
99.4
97.0
99.3
95.7
99.8
99.5
99.3
98.8
95.2
89.3
98.6
97.9
99.4
90.9
94.3
88.6
g
..
..
69.4
g
53.6
59.3
54.2
62.1
g
53.7
53.6
g
49.4
99.3
58.0
66.8
..
74.0
65.1
95.5
74.1
65.6
53.6
92.0
..
61.1
93.5
g
76.1
g
47.8
56.8
94.4
g
57.8
38.1
39.3
65.3
g
..
24.1
26.5
84.8
72.6
g
..
56.3
39.8
45.9
87.9
54.4
14.9
84.7
g
..
62.1
56.7
44.5
75.5
g
51.2
g
38.8
24.0
g
53.1
90
85
79
..
83
78
120
83
91
65
72
73
29
54
99
110
96
87
35
27
34
56
..
58
99
77
101
47
26
16
51
18
112
..
62
80
79
95
69
113
61
49
150
88
35
37
95
86
..
34
42
42
18
27
35
35
51
99
101
105
101
101
101
108
106
107
100
102
107
102
105
104
107
88
99
106
96
99
93
..
106
103
105
106
121
90
..
102
105
97
110
128
105
117
119
..
..
87
107
114
114
110
105
98
117
..
105
94
109
106
109
97
165
94
85
93
105
96
106
67
96
86
74
84
85
101
89
98
84
101
79
99
86
100
89
92
..
87
108
91
98
84
82
..
96
90
87
91
87
101
98
97
82
93
91
93
87
85
91
75
72
103
..
86
83
81
82
76
68
..
77
75
60
61
..
14
37
40
12
46
42
78
47
61
45
28
1
18
14
55
20
40
52
..
28
53
43
80
26
41
38
46
62
51
35
24
..
31
..
55
26
10
45
39
..
6
33
13
61
..
..
49
27
7
29
35
..
38
3.9
3.4
6.6
..
8.7
0.8
2.7
10.6
6.7
8.4
6.1
9.0
5.0
0.7
5.0
6.0
26.5
2.7
3.8
1.8
2.1
1.6
..
6.9
..
18.5
1.9
9.1
2.5
16.7
4.4
9.1
..
5.3
..
31.4
7.2
12.2
1.2
4.8
10.4
15.3
8.6
9.7
9.6
25.2
..
7.0
..
10.0
0.7
12.0
7.0
1.1
17.4
..
13.8
..
..
55
..
65
..
100
88
10
90
..
91
..
..
96
99
61
82
98
100
..
56
..
95
65
..
100
54
..
..
77
100
..
100
..
85
99
61
..
..
88
100
84
100
..
85
81
99
..
..
100
..
100
..
..
100
..
482
439
..
..
..
421
..
..
..
..
..
407
448
432
413
..
..
..
..
..
386
449
391
..
..
368
..
..
..
..
..
..
427
388
613
..
..
..
394
..
..
376
..
..
..
..
..
..
..
..
..
375
..
..
..
..
..
475
436
..
..
..
398
..
..
..
..
..
441
475
393
424
..
..
..
..
..
399
446
410
..
..
384
..
..
..
..
..
..
441
404
570
..
..
..
394
..
..
403
..
..
..
..
..
..
..
..
..
396
..
..
..
..
..
486
446
..
..
..
420
..
..
..
..
..
429
463
425
415
..
..
..
..
..
409
445
405
..
..
373
..
..
..
..
..
..
444
398
580
..
..
..
397
..
..
399
..
..
..
..
..
..
..
..
..
382
..
..
..
..
..
18
17
13
..
15
13
21
18
14
23
..
17
..
16
28
13
16
24
20
12
20
16
..
6
16
20
16
22
16
..
19
31
16
17
17
16
23
16
19
28
17
25
18
15
21
25
12
29
..
30
24
16
25
28
28
25
24
4.1
4.1
7.5
..
2.5
5.1
3.7
..
1.6
4.1
3.6
6.3
2.9
3.1
5.3
4.8
4.2
2.0
4.7
2.8
..
4.7
5.8
2.7
..
2.6
5.3
6.6
..
..
3.1
4.1
5.8
6.2
..
5.1
4.3
3.5
3.3
6.4
4.4
4.5
5.2
..
..
2.2
7.2
5.5
..
5.8
..
2.8
7.8
3.8
4.1
..
7.6
TABLE
9
TABLE 9
Education | 193
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0206.png
TABLE 9
EDUCATION
Literacy rates
Population
with at
least some
secondary
education
Pre-primary
Gross enrolment ratios
Primary
school
dropout
rates
(% of
primary
school
cohort)
Primary
school
teachers
trained
to teach
Education quality
Adult
(% ages
15 and
older)
HDI rank
Youth
Primary
Secondary
Tertiary
Performance of 15-year-old students
Pupil–
teacher
ratio
Education
expenditure
(% ages
15–24)
(% of
(% of
(% of
(% of
children of
primary
secondary
tertiary
(% ages 25 pre-school school-age school-age school-age
age)
population) population) population)
and older)
(%)
Mathematics
a
Reading
b
2012
2012
Science
c
2012
(number of
pupils per
teacher) (% of GDP)
2003–2012
d
2005–2012
d
2005–2012
d
2005–2012
d
2005–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
TABLE
9
114 Moldova (Republic of)
115 El Salvador
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
99.0
84.5
99.4
95.4
93.0
84.1
78.5
85.0
93.4
84.9
..
75.9
99.2
76.5
58.3
85.1
67.1
83.2
78.0
..
99.7
62.8
52.8
73.9
71.5
72.7
..
61.4
57.7
69.5
94.2
57.4
54.9
72.2
87.8
70.4
92.7
65.9
71.3
51.1
65.3
64.5
83.6
62.4
..
75.5
67.8
58.6
75.8
49.7
73.2
28.7
71.9
60.4
48.7
..
..
100.0
96.0
99.9
97.8
98.8
95.3
82.4
93.1
97.1
98.4
..
87.4
99.8
87.1
79.5
95.9
81.5
94.6
87.0
..
99.9
81.1
74.4
87.1
85.7
83.9
..
64.0
78.7
80.2
98.1
82.4
70.7
82.4
93.7
73.0
96.1
77.3
80.6
66.4
86.4
64.9
90.9
70.8
..
86.0
74.6
69.0
83.2
65.0
87.4
42.4
87.3
79.9
72.3
..
..
95.0
39.8
..
64.8
g
74.3
34.1
32.4
g
31.2
g
65.0
..
..
22.6
95.6
g
33.5
g
..
27.0
28.0
..
37.6
g
..
92.4
38.7
g
34.4
15.5
54.3
g
29.7
g
46.2
35.0
g
26.7
g
..
..
28.3
g
33.2
28.6
48.1
g
..
17.8
g
7.7
g
27.9
..
16.0
g
..
55.4
g
10.5
g
..
..
7.4
g
14.2
g
20.9
10.8
28.8
18.4
g
15.5
g
29.8
g
29.1
g
20.3
g
..
80
63
25
51
77
11
7
63
77
75
..
64
25
30
10
42
59
61
55
..
9
58
9
15
114
24
14
..
26
50
73
82
49
51
25
87
9
13
30
13
2
9
..
100
43
24
34
..
36
14
14
19
..
11
..
..
4
94
114
93
106
102
122
107
80
105
112
112
114
106
109
125
109
116
122
117
116
100
113
112
124
110
123
109
114
114
118
91
139
93
112
115
140
114
134
111
81
97
145
..
60
141
117
93
97
111
84
110
123
..
133
..
97
70
75
67
105
85
102
74
53
105
..
93
83
65
88
65
57
73
69
60
69
86
86
69
74
45
58
47
54
101
51
71
..
66
37
60
60
32
50
32
50
44
47
38
38
..
48
73
35
27
52
41
28
48
..
55
..
52
44
38
25
9
28
..
26
16
13
25
21
..
18
41
9
18
21
16
5
18
..
22
23
9
16
12
17
10
..
13
8
..
14
10
4
6
7
14
7
12
10
10
4
6
..
..
11
4
5
11
8
9
12
..
10
..
4
5
4.2
16.0
1.9
24.2
..
6.8
..
16.5
2.5
10.7
..
29.1
2.9
15.5
16.4
30.4
8.4
28.5
51.6
..
2.0
..
5.1
34.1
27.8
30.1
29.7
46.9
33.8
33.9
27.9
38.3
39.0
..
32.7
68.1
25.2
64.4
30.2
20.1
..
59.3
..
..
36.6
..
18.6
18.8
36.8
38.6
75.2
40.7
9.1
48.3
..
..
..
..
96
100
..
87
..
100
68
100
95
..
..
72
98
..
36
100
100
75
85
94
..
91
100
52
97
80
..
58
48
49
93
84
97
78
..
100
96
79
66
..
95
..
..
54
55
97
100
68
65
95
47
60
83
..
..
100
..
..
..
..
..
..
..
..
511
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
508
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
528
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
16
29
16
31
30
..
17
25
19
23
..
26
24
41
31
34
26
22
30
25
23
35
24
46
33
27
44
49
40
29
26
28
41
47
29
46
28
59
46
36
30
43
39
36
24
28
46
40
34
32
48
44
38
42
..
44
35
8.6
3.4
..
2.7
6.0
5.1
..
3.6
6.6
5.6
..
2.8
5.8
8.4
10.1
..
5.4
5.2
4.7
..
3.9
3.3
4.7
2.6
8.2
3.3
6.2
1.3
2.2
..
..
4.7
2.4
6.7
7.8
3.5
0.8
4.8
3.2
..
5.2
2.8
2.5
..
7.3
7.6
6.2
3.7
13.0
5.6
3.3
5.3
..
4.6
..
..
8.4
194
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0207.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Literacy rates
Population
with at
least some
secondary
education
Pre-primary
Gross enrolment ratios
Primary
school
dropout
rates
(% of
primary
school
cohort)
Primary
school
teachers
trained
to teach
Education quality
Adult
(% ages
15 and
older)
HDI rank
Youth
Primary
Secondary
Tertiary
Performance of 15-year-old students
Pupil–
teacher
ratio
Education
expenditure
(% ages
15–24)
(% of
(% of
(% of
(% of
children of
primary
secondary
tertiary
(% ages 25 pre-school school-age school-age school-age
age)
population) population) population)
and older)
(%)
Mathematics
a
Reading
b
2012
2012
Science
c
2012
(number of
pupils per
teacher) (% of GDP)
2003–2012
d
2005–2012
d
2005–2012
d
2005–2012
d
2005–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
2003–2012
d
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
56.9
51.1
39.0
61.3
42.9
33.4
55.3
50.6
25.3
86.9
28.7
68.9
43.3
35.4
56.6
61.2
28.7
100.0
..
..
..
..
..
..
..
..
94.2
71.7
58.2
77.0
94.4
97.7
91.5
62.9
58.9
59.3
..
81.2
67.5
68.1
55.0
72.1
49.1
46.9
73.2
67.1
31.4
88.9
39.3
90.1
61.0
47.9
65.6
65.8
36.5
100.0
..
..
..
..
..
..
..
..
98.9
85.9
70.2
89.9
98.8
99.4
97.1
80.6
69.2
71.5
..
87.9
22.1
g
24.0
g
12.5
8.6
g
27.3
g
10.9
..
3.6
g
..
7.1
g
2.0
..
14.8
g
5.5
17.9
g
16.5
g
48.3
..
..
..
..
..
..
..
..
86.9
64.9
47.5
22.1
41.1
..
75.6
54.7
38.4
28.1
..
..
63.6
5
30
18
..
..
4
7
..
16
5
4
13
9
1
6
4
6
..
48
..
94
108
..
..
105
85
67
51
24
32
58
43
79
54
24
20
67
52
94
85
95
141
102
88
116
105
91
137
85
42
131
95
95
111
71
..
105
..
93
92
29
..
100
103
118
111
98
105
120
101
106
110
100
105
96
108
..
57
37
34
45
51
34
26
39
28
26
30
..
23
18
43
16
..
103
..
63
95
7
..
..
101
87
70
39
76
84
95
85
64
43
42
79
74
8
4
8
1
..
7
3
5
9
3
5
2
..
2
3
8
2
..
43
..
..
64
..
..
..
76
35
23
8
28
..
50
44
22
8
9
..
31
17.8
17.2
63.4
50.9
32.2
38.4
..
69.4
41.4
56.2
31.0
31.0
..
61.9
53.4
29.3
30.7
..
16.5
..
..
3.8
..
..
..
3.6
8.1
18.3
42.7
5.8
..
4.1
14.6
21.2
37.7
39.9
15.8
17.1
99
63
57
78
56
52
39
84
75
95
95
90
55
62
58
94
97
..
..
..
74
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
42
34
54
74
27
48
52
55
44
47
48
41
33
61
80
35
39
..
..
..
22
6
36
..
19
..
..
..
..
..
..
..
..
..
..
..
..
..
4.6
3.9
4.7
5.4
1.9
4.7
..
5.0
3.1
6.1
3.4
2.1
2.7
2.6
1.2
2.5
4.5
..
..
1.6
..
..
..
..
..
5.3
4.6
3.7
3.7
..
..
3.4
5.2
3.4
5.2
3.7
..
5.0
TABLE
9
NOTES
a
Average score for Organisation for Economic
Co-operation and Development (OECD) countries
is 494.
b
Average score for OECD countries is 496.
c
Average score for OECD countries is 501.
d
Data refer to the most recent year available
during the period specified.
e
Refers to population ages 25–64.
f
Refers to population ages 25–74.
g
Barro and Lee (2013) estimate for 2010 based
on data from the United Nations Educational,
Scientific and Cultural Organization Institute for
Statistics.
DEFINITIONS
Adult literacy rate:
Percentage of the population
ages 15 and older who can, with understanding,
both read and write a short simple statement on
their everyday life.
Youth literacy rate:
Percentage of the population
ages 15–24 who can, with understanding, both
read and write a short simple statement on their
everyday life.
Population with at least some secondary
education:
Percentage of the population ages 25
and older that reached at least a secondary level
of education.
Gross enrolment ratio:
Total enrolment in a given
level of education (pre-primary, primary, secondary
or tertiary), regardless of age, expressed as a
percentage of the official school-age population for
the same level of education.
Primary school dropout rate:
Percentage of
students from a given cohort that have enrolled in
primary school but that drop out before reaching
the last grade of primary education. It is calculated
as 100 minus the survival rate to the last grade of
primary education and assumes that observed flow
rates remain unchanged throughout the cohort life
and that dropouts do not re-enter school.
Primary school teachers trained to teach:
Percentage of primary school teachers that have
received the minimum organized teacher training
(pre-service or in-service) required for teaching at
the primary level.
Performance of 15-year-old students in reading,
mathematics and science:
Score obtained in testing
of skills and knowledge of 15-year-old students in
these subjects essential for participation in society.
Pupil-teacher ratio:
Average number of pupils per
teacher in primary education in a given school year.
Education expenditure:
Total public expenditure
(current and capital) on education, expressed as a
percentage of GDP.
MAIN DATA SOURCES
Columns 1–9 and 13:
UNESCO Institute for
Statistics 2013.
Columns 10–12:
OECD 2013.
Column 14:
World Bank 2013a.
TABLE 9
Education | 195
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0208.png
TABLE
10
Command over and allocation of resources
Gross fixed
GDP per
capital
capita
formation
(2011
PPP $)
2012
General government
final consumption
expenditure
Total
(% of GDP)
DEBT
PRICES
Share of
Taxes on
Research agriculture,
Domestic
hunting, credit provided
income,
and
Total Consumer
profit and development forestry and by the banking External
debt
price
Domestic
capital gain expenditure fisheries
sector
index
debt stock service
food price level
Volatility
index
2013
GDP
(2011 PPP
$ billions)
HDI rank
2012
(% of GDP)
Average
annual
(% of total
growth (%) tax revenue)
(% of GDP)
2005–2012
a
(% of GDP)
2012
(% of GDP)
2012
(% of GNI) (% of GNI) (2005=100)
2005–2012
a
2012
2012
Index
2013
2005–2012
a
2005–2012
a
2005–2012 2005–2012
a
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
315.5 62,858
960.6 42,278
410.2 51,293
711.3 42,453
15,965.5 50,859
3,375.2 41,966
143.5 32,360
1,410.6 40,588
379.7 71,475
232.2 41,524
196.9 42,919
398.3 41,840
12.4 38,553
2,207.0 34,694
359.8 50,291
1,474.9 29,495
4,465.4 35,006
..
..
242.1 30,600
2,369.9 36,074
363.7 43,139
439.5 39,498
46.0 86,587
206.3 38,104
56.4 27,394
2,004.6 33,668
1,458.9 31,198
281.0 26,733
281.7 25,391
29.3 71,080
274.2 133,713
25.9 29,698
32.2 24,195
1,436.8 50,791
70.4 23,554
853.3 22,143
..
..
138.1 25,537
11.9 28,398
525.1 57,045
368.5 21,099
263.9 25,096
219.7 22,146
53.6 40,658
..
..
b
84,188
b
273.7
85.1 19,946
43.2 21,229
..
..
61.0
8.4
8.7
159.6
346.0
..
..
3,327.7
17,966
22,705
14,040
16,868
17,234
..
..
23,184
20.6
27.9
20.4
16.8
14.7
17.6
18.8
22.0
24.1
17.6
10.0
18.8
14.4
14.2
26.4
26.7
20.6
..
20.4
19.8
21.4
20.7
20.2
19.4
17.8
18.2
19.1
23.6
13.1
13.4
33.8
18.4
25.0
22.2
16.7
19.4
..
21.5
14.6
21.9
24.1
15.8
17.2
19.5
9.9
15.6
18.8
23.7
21.8
20.6
28.1
18.4
32.8
26.7
27.9
..
22.0
21.3
17.9
11.1
28.4
17.3
19.5
20.1
20.9
9.7
28.6
17.6
26.9
25.5
22.1
9.1
15.8
20.4
..
22.9
24.7
18.8
24.9
16.9
24.8
20.8
20.1
20.1
20.8
17.8
17.3
12.3
19.7
19.6
20.4
17.6
17.9
..
17.6
20.5
6.9
12.1
18.3
20.3
14.6
37.9
14.8
19.9
15.3
16.6
12.2
14.8
22.1
14.6
6.6
9.3
17.2
18.6
1.8
3.4
2.0
0.0
–2.6
1.2
0.3
0.8
–3.6
0.2
–3.4
0.7
–0.2
2.2
3.7
3.9
1.5
..
3.2
1.4
0.4
0.4
5.0
0.8
–1.3
–2.9
–0.5
–1.2
–4.2
2.0
..
0.5
4.0
..
0.7
0.1
..
–0.7
0.9
3.6
3.9
–4.4
–2.5
..
2.4
..
–1.9
–0.2
5.2
5.4
3.5
..
–1.2
2.3
..
..
–0.2
33.0
63.6
24.2
25.2
54.9
15.4
45.8
53.3
34.4
38.9
36.0
11.2
28.5
35.6
38.7
30.3
42.9
..
27.6
23.7
23.3
35.4
29.8
15.6
11.2
32.3
21.7
14.5
17.0
..
40.2
28.4
8.0
..
7.4
13.1
..
9.6
31.8
..
27.2
21.7
12.5
0.5
..
0.6
7.8
8.1
..
18.0
..
..
3.3
17.6
..
2.5
1.7
1.7
2.4
3.0
1.8
2.9
2.8
1.3
1.8
2.4
3.1
1.8
3.4
2.6
1.8
0.8
3.7
3.4
..
4.4
2.3
2.8
2.0
1.6
3.9
2.1
1.3
1.4
1.6
0.6
..
..
0.5
1.6
0.1
0.8
0.7
..
0.6
0.6
..
0.4
1.6
1.2
..
0.6
0.1
0.7
0.6
0.6
0.4
..
1.1
0.6
0.5
..
..
1.2
1.2
2.4
0.7
1.7
1.1
0.9
6.3
1.5
0.0
1.5
1.6
1.6
7.8
0.7
..
2.6
1.2
0.7
2.0
2.0
1.6
0.8
0.3
2.8
2.7
2.0
2.5
2.4
3.4
0.7
0.1
2.5
4.1
1.9
4.0
3.9
0.6
3.1
1.6
0.7
3.6
2.3
4.7
0.3
5.0
0.3
5.0
5.0
9.0
7.7
2.0
8.8
9.5
6.0
2.3
1.1
3.9
87.0
b
154.4
192.6
216.0
231.6
123.6
157.8
b
177.6
b
99.5
206.6
202.1
144.8
143.2
210.1
200.6
168.7
346.2
..
85.9
b
136.4
133.4
116.6
167.7
104.1
93.8
167.6
221.5
68.7
135.5
13.5
77.5
344.1
79.0
–10.5
52.3
63.8
..
54.1
b
154.1
76.5
74.3
198.7
68.2
73.1
..
54.8
b
96.3
63.0
37.3
32.0
105.0
57.9
32.2
54.3
–65.9
b
35.4
41.1
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
72.6
..
..
..
..
..
41.0
..
..
..
..
..
..
134.4
26.3
31.6
..
45.6
54.6
72.3
..
..
31.1
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
16.35
..
..
..
..
..
6.52
..
..
..
..
..
..
28.50
3.57
3.26
..
5.00
3.33
10.20
..
..
3.50
114
122
104
113
118
113
121
114
125
117
112
112
163
123
122
123
99
..
120
112
116
118
118
117
120
116
119
121
123
107
141
119
138
141
138
125
..
124
118
116
108
116
143
117
..
140
123
148
111
b
166
119
126
b
396
148
154
141
185
1.2
1.2
b
1.1
b
0.9
b
1.0
b
1.1
1.3
b
1.3
b
1.3
1.1
b
1.0
b
1.1
b
1.1
b
1.2
..
2.0
b
1.9
..
1.3
b
1.1
b
1.2
1.1
b
1.1
1.2
1.4
1.2
b
1.1
b
1.2
1.1
b
1.6
b
0.8
1.3
b
1.5
b
1.2
b
1.8
b
1.3
b
..
1.4
1.5
..
1.6
1.1
b
1.5
b
1.2
b
..
0.9
1.5
1.4
1.3
1.4
..
..
1.8
b
1.4
b
..
1.1
b
1.6
b
6.8
12.7
9.2
4.2
..
13.8
13.0
9.4
15.8
20.9
4.2
10.0
39.2
22.9
..
41.7
10.0
..
33.0
8.8
15.9
8.4
..
23.4
20.2
9.1
19.8
46.0
14.4
11.7
52.1
10.7
39.5
34.7
128.1
7.5
..
32.5
15.0
..
23.1
15.4
37.0
17.2
..
25.3
36.3
97.0
29.3
28.2
..
..
62.4
24.2
..
39.4
24.2
196
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0209.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
GDP
(2011 PPP
$ billions)
HDI rank
2012
Gross fixed
GDP per
capital
capita
formation
(2011
PPP $)
2012
General government
final consumption
expenditure
Total
(% of GDP)
DEBT
PRICES
Share of
Taxes on
Research agriculture,
Domestic
hunting, credit provided
income,
and
Total Consumer
profit and development forestry and by the banking External
debt
price
Domestic
capital gain expenditure fisheries
sector
index
debt stock service
food price level
Volatility
index
2013
b
(% of GDP)
Average
annual
(% of total
growth (%) tax revenue)
(% of GDP)
2005–2012
a
(% of GDP)
2012
(% of GDP)
2012
(% of GNI) (% of GNI) (2005=100)
2005–2012
a
2012
2012
Index
2013
2005–2012
a
2005–2012
a
2005–2012 2005–2012
a
58 Bulgaria
115.0
59 Barbados
4.3
b
60 Palau
0.3
61 Antigua and Barbuda
1.8
62 Malaysia
640.3
63 Mauritius
20.9
64 Trinidad and Tobago
38.9
65 Lebanon
73.1
65 Panama
63.3
67 Venezuela (Bolivarian Republic of)
528.5
68 Costa Rica
62.9
69 Turkey
1,344.3
70 Kazakhstan
361.1
71 Mexico
1,950.9
71 Seychelles
2.0
73 Saint Kitts and Nevis
1.1
73 Sri Lanka
180.1
75 Iran (Islamic Republic of)
1,181.6
b
76 Azerbaijan
147.7
77 Jordan
71.6
77 Serbia
83.7
79 Brazil
2,840.9
79 Georgia
30.0
79 Grenada
1.2
82 Peru
347.9
83 Ukraine
379.9
84 Belize
2.7
b
84 The former Yugoslav Republic of Macedonia 24.7
86 Bosnia and Herzegovina
35.2
87 Armenia
21.6
88 Fiji
6.6
89 Thailand
907.3
90 Tunisia
114.4
91 China
14,548.6
91 Saint Vincent and the Grenadines
1.1
93 Algeria
491.7
93 Dominica
0.7
95 Albania
29.2
96 Jamaica
22.8
b
97 Saint Lucia
1.9
98 Colombia
557.5
98 Ecuador
153.4
100 Suriname
8.1
100 Tonga
0.5
102 Dominican Republic
113.2
MEDIUM HUMAN DEVELOPMENT
103 Maldives
3.8
103 Mongolia
23.2
103 Turkmenistan
64.5
106 Samoa
0.9
107 Palestine, State of
..
108 Indonesia
2,186.3
109 Botswana
28.9
110 Egypt
862.5
111 Paraguay
48.3
112 Gabon
29.4
113 Bolivia (Plurinational State of)
59.3
114 Moldova (Republic of)
14.8
115 El Salvador
46.9
15,738
15,299
b
14,411
19,714
21,897
16,194
29,086
16,509
16,655
17,642
13,091
18,167
21,506
16,144
23,152
20,895
8,862
15,461
b
15,888
11,340
11,587
14,301
6,691
11,786
11,603
8,332
8,438
b
11,708
9,184
7,291
7,552
13,586
10,612
10,771
10,271
12,779
9,629
9,243
8,421
b
10,242
11,687
9,900
15,174
5,127
11,016
11,270
8,288
12,460
4,935
..
8,856
14,443
10,685
7,215
17,997
5,650
4,146
7,445
21.4
14.6
..
29.3
25.6
24.0
9.7
31.2
27.7
20.3
20.2
20.3
20.6
20.7
..
29.9
27.1
25.8
22.5
25.2
26.3
18.1
21.8
21.9
26.6
18.9
25.4
20.6
21.9
31.3
20.7
28.5
22.7
46.1
25.2
38.3
22.8
25.3
20.8
35.7
23.6
26.6
24.9
30.7
16.3
40.4
51.7
54.1
..
25.7
33.1
36.1
16.0
14.7
25.9
18.2
23.4
14.2
7.8
20.3
..
17.8
13.5
13.5
9.5
14.5
11.2
12.2
17.9
14.8
11.6
11.5
..
10.4
14.8
11.2
10.3
16.5
18.9
21.5
17.7
17.1
10.3
19.4
15.8
18.3
23.0
11.9
14.8
13.6
13.8
13.5
16.2
14.2
17.6
8.2
16.0
16.6
16.1
13.5
23.3
17.1
8.1
16.8
14.1
9.5
..
32.6
8.9
19.3
11.6
12.2
8.9
13.5
20.6
11.2
–0.4
..
..
..
5.0
2.3
–0.6
6.9
18.1
6.3
1.7
5.7
11.3
1.5
..
..
6.3
–4.3
10.2
–13.5
–2.2
3.2
..
..
9.4
2.4
5.1
–2.8
1.7
14.2
..
7.5
3.3
9.7
..
6.6
..
7.6
..
..
770.6
7.7
..
..
11.5
..
9.4
..
..
8.5
2.3
2.2
3.1
21.0
13.6
4.9
11.1
2.5
15.5
31.6
..
..
52.0
18.2
47.5
17.2
..
21.5
15.5
25.5
36.5
..
31.5
6.8
16.6
19.3
18.1
12.3
8.8
28.4
35.2
15.2
34.5
12.8
29.8
12.7
6.6
19.4
32.5
38.0
29.0
23.1
23.6
60.2
..
..
31.4
..
22.0
..
..
..
18.7
3.1
15.3
..
..
2.1
35.6
28.5
29.7
13.8
..
9.6
1.0
24.3
0.6
..
..
..
0.6
0.4
0.1
..
0.2
..
0.5
0.8
0.2
0.4
0.3
..
0.1
0.8
0.2
0.4
0.9
1.2
0.2
..
..
0.9
..
0.2
0.0
0.3
..
0.2
1.1
1.7
..
0.1
..
0.2
..
..
0.2
0.3
..
..
..
..
0.2
..
..
..
0.1
0.5
0.2
0.1
0.6
0.2
0.5
0.1
6.4
1.6
6.1
2.1
10.2
3.5
0.4
5.0
3.5
5.7
5.9
8.9
4.5
3.5
2.6
1.6
11.1
9.3
5.5
3.0
10.2
5.2
8.3
5.6
7.0
8.9
12.4
10.3
8.4
20.9
12.2
10.4
8.9
10.1
7.1
8.8
14.6
20.4
6.4
2.9
6.5
9.4
9.1
18.8
5.9
4.1
17.1
13.8
9.8
5.6
14.4
3.0
14.8
20.9
2.7
12.3
12.8
11.4
71.0
136.3
b
..
94.5
134.5
113.6
36.5
176.4
89.0
42.0
53.3
71.9
41.8
47.1
38.8
108.2
48.4
18.0
b
24.7
113.4
62.4
110.5
35.0
92.4
17.8
80.2
66.9
b
48.8
67.0
44.4
117.1
168.9
82.2
152.7
56.8
–2.1
63.4
67.0
51.5
134.7
69.6
24.3
b
26.9
27.2
46.4
70.3
30.8
..
45.7
..
42.6
14.9
79.3
37.2
13.0
48.7
42.2
66.1
77.9
..
..
..
34.8
12.5
..
61.7
43.7
21.8
25.7
40.1
77.9
25.2
184.4
..
41.0
..
14.9
61.5
71.8
16.6
79.1
73.8
25.8
83.3
96.0
62.8
58.6
68.3
23.6
24.0
50.4
9.4
42.1
3.4
59.9
46.0
98.8
37.6
24.3
25.1
..
43.5
28.8
50.2
32.7
2.0
58.5
..
26.0
13.8
15.7
25.7
19.7
27.6
72.0
53.5
8.75
..
..
..
3.87
1.43
..
13.36
2.80
2.00
3.98
7.36
20.49
3.69
3.43
..
2.24
0.74
3.32
3.25
12.34
2.43
11.46
3.41
2.03
17.02
9.99
9.24
4.71
8.66
5.19
3.14
6.03
1.07
4.47
0.35
3.63
2.97
11.87
3.76
3.15
3.15
..
1.34
2.80
5.12
1.44
0.49
1.95
..
3.80
0.46
1.51
1.83
2.48
2.00
6.18
5.52
148
151
..
120
120
152
178
118
137
249
173
178
184
134
203
133
196
316
179
147
183
141
154
127
123
212
116
124
125
145
144
124
134
125
131
139
121
122
205
123
134
137
179
141
153
174
211
..
141
119
b
160
181
204
157
117
157
173
127
1.3
..
..
..
1.6
1.8
b
..
..
..
2.3
..
1.9
..
1.3
..
..
1.8
b
2.6
b
1.9
b
1.3
..
1.3
b
..
..
1.7
1.2
b
..
1.6
b
1.7
b
1.9
1.4
b
1.9
1.8
2.0
b
..
..
..
1.7
..
..
1.7
1.6
..
..
..
1.7
b
1.8
b
..
..
..
2.0
2.0
2.0
1.7
2.5
b
1.6
b
1.5
..
39.3
..
..
..
7.6
71.4
..
..
..
82.1
..
81.7
15.0
6.7
..
..
33.9
58.6
66.4
20.5
..
25.2
7.2
..
9.1
70.6
..
38.8
17.5
51.0
19.3
16.4
19.3
65.9
..
..
..
22.8
..
..
30.3
13.1
..
..
..
55.4
59.0
..
..
..
23.5
64.6
102.7
66.7
19.7
35.9
46.8
..
TABLE
10
TABLE 10
Command over and allocation of resources | 197
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0210.png
TABLE 10
COMMAND OVER AND ALLOCATION OF RESOURCES
GDP
(2011 PPP
$ billions)
HDI rank
2012
Gross fixed
GDP per
capital
capita
formation
(2011
PPP $)
2012
General government
final consumption
expenditure
Total
(% of GDP)
DEBT
PRICES
Share of
Taxes on
Research agriculture,
Domestic
hunting, credit provided
income,
and
Total Consumer
profit and development forestry and by the banking External
debt
price
Domestic
capital gain expenditure fisheries
sector
index
debt stock service
food price level
Volatility
index
2013
(% of GDP)
Average
annual
(% of total
growth (%) tax revenue)
(% of GDP)
2005–2012
a
(% of GDP)
2012
(% of GDP)
2012
(% of GNI) (% of GNI) (2005=100)
2005–2012
a
2012
2012
Index
2013
2005–2012
a
2005–2012
a
2005–2012 2005–2012
a
TABLE
10
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
140.1
580.7
626.7
..
473.3
4.8
436.1
3.1
0.4
105.4
16.0
20.6
2.2
35.1
227.5
0.7
25.5
0.2
18.6
6,245.4
5.6
41.5
92.3
29.2
24.4
42.1
365.7
0.5
27.6
58.5
781.2
91.1
7.3
152.9
..
15.8
55.4
918.4
95.3
30.7
18.4
17.1
1.1
1.1
76.8
11.2
4.9
29.8
48.5
17.0
125.4
8.5
16.0
56.4
b
..
54.5
2.8
111.8
4,705
6,005
11,989
..
14,527
6,054
4,912
6,311
3,428
6,990
2,847
9,136
1,815
4,423
6,878
2,894
4,254
1,772
2,320
5,050
7,490
2,789
3,638
4,388
5,631
2,990
2,364
2,837
37,479
2,131
4,360
2,109
5,912
7,346
..
1,379
2,551
5,440
3,996
1,378
1,337
2,382
1,964
1,493
1,654
2,938
2,368
2,174
1,334
1,687
3,370
1,286
1,575
1,892
b
..
2,747
1,565
1,218
23.5
19.4
19.2
18.8
..
23.9
27.7
36.5
..
14.7
24.0
21.9
..
24.3
31.4
26.2
25.2
..
18.7
29.6
56.1
16.0
29.0
27.7
25.1
23.4
25.4
..
40.0
19.6
10.9
20.4
9.6
11.4
..
22.8
19.8
..
11.7
32.6
12.4
..
13.4
12.4
36.1
38.9
31.8
30.3
24.4
17.6
19.2
18.6
..
16.6
37.5
10.1
19.2
25.5
22.7
10.5
22.4
10.1
..
15.4
5.4
20.7
..
10.7
18.2
25.2
..
16.1
19.2
18.1
6.9
..
9.9
11.8
20.8
6.0
13.6
9.9
10.0
20.6
5.7
..
3.7
10.3
8.3
17.2
15.3
19.5
..
8.2
14.9
..
11.8
10.0
23.8
..
39.2
15.3
16.4
15.2
38.1
8.7
11.3
11.9
10.9
9.8
9.1
16.0
25.1
8.6
9.6
8.1
..
12.2
4.2
8.5
..
..
4.8
7.7
..
6.8
2.2
7.9
..
1.3
7.9
..
4.5
..
1.2
3.9
–2.1
7.8
5.1
11.8
2.8
38.8
5.6
..
3.4
12.5
8.2
9.3
–5.8
..
..
15.2
9.8
..
–14.1
3.9
..
..
..
..
14.2
6.4
17.6
4.8
3.3
2.9
20.9
15.8
..
..
8.0
0.4
–3.4
–0.8
..
42.1
50.2
..
..
..
..
18.2
..
29.6
20.3
28.3
..
22.7
25.4
..
29.6
..
..
49.5
15.9
12.1
24.7
15.8
4.9
44.0
22.4
..
..
19.2
28.8
42.5
..
..
25.2
..
..
0.6
..
11.8
..
..
..
..
..
..
17.4
..
39.1
17.1
..
10.3
..
2.7
..
..
..
16.0
..
0.1
0.9
..
..
..
..
..
..
0.1
0.2
..
..
..
0.6
..
..
..
0.1
0.8
..
..
0.2
..
..
0.3
..
..
..
..
0.5
0.4
..
..
..
..
..
0.2
..
0.1
..
..
..
..
0.4
..
0.0
0.4
0.4
..
..
..
..
..
..
..
0.0
0.2
19.8
11.8
2.6
21.0
4.1
18.0
19.7
9.4
..
11.5
19.5
7.6
4.4
14.0
13.7
21.9
20.0
25.7
23.1
17.4
18.1
35.6
22.7
31.7
3.6
18.2
17.3
20.5
2.0
35.7
24.4
29.6
7.3
9.4
36.4
35.1
23.3
33.1
14.6
27.5
17.5
29.1
28.9
50.9
28.3
c
23.6
8.2
17.0
24.2
35.3
41.8
d
47.1
18.8
30.3
3.7
30.0
23.0
48.4
..
50.9
187.2
47.7
b
–1.9
50.6
115.4
76.8
–19.0
39.2
14.0
b
49.5
–52.7
55.9
115.4
68.2
b
44.0
..
13.1
76.6
50.4
33.8
32.3
26.5
b
–8.9
18.5
69.2
35.1
–3.5
67.0
44.5
52.3
21.1
15.9
..
8.0
b
15.2
35.3
26.9
12.9
75.5
b
38.3
12.0
21.6
24.8
36.8
3.1
31.0
16.4
19.7
24.5
37.6
19.6
–3.0
b
26.5
b
27.3
43.9
37.1
b
17.8
33.6
28.4
..
..
..
49.1
55.5
..
35.9
..
..
..
28.5
29.4
25.4
101.0
..
51.6
18.3
65.0
35.3
29.8
80.3
23.1
24.7
22.6
92.2
..
20.8
27.3
30.4
15.5
23.4
..
17.5
12.2
6.1
20.5
28.4
64.8
101.2
37.9
45.6
42.6
70.8
27.1
30.6
23.5
19.5
..
18.1
10.6
..
..
52.1
43.6
27.2
1.32
4.85
1.66
1.09
..
1.78
2.88
2.15
..
4.54
7.24
..
..
6.12
3.36
0.83
7.02
..
8.99
1.57
4.90
0.63
0.91
3.63
0.96
1.05
1.22
0.67
..
1.06
1.34
1.27
1.16
3.12
..
0.31
1.28
0.19
0.93
0.43
12.45
9.86
2.27
0.65
0.64
2.72
1.40
2.50
0.44
0.53
0.91
0.46
0.07
0.06
..
2.36
2.82
1.12
..
137
155
204
181
b
146
216
130
..
148
200
157
171
156
114
122
184
..
202
181
161
160
224
143
137
189
174
321
147
186
222
225
167
233
239
174
124
201
228
185
1,197
b
144
167
123
197
147
157
120
203
130
280
125
173
164
145
121
129
b
365
..
1.6
1.5
b
1.5
b
1.6
..
1.7
b
1.5
..
..
..
1.8
..
..
1.6
..
..
..
..
1.6
b
1.8
b
1.2
1.7
2.2
b
2.5
b
1.4
1.6
b
2.4
b
..
1.6
b
2.1
2.4
b
..
2.4
b
..
1.8
b
2.0
b
2.4
b
1.6
b
2.0
2.1
..
..
..
2.4
2.2
b
1.8
b
2.0
b
1.9
2.0
..
2.2
b
..
..
..
2.1
b
2.8
b
1.9
..
26.4
35.6
44.0
47.2
..
28.7
9.1
..
..
0.0
38.9
..
..
19.8
..
..
..
..
35.0
28.2
101.3
44.8
25.9
10.4
19.0
20.3
39.0
0.0
35.1
46.5
57.3
22.6
133.7
..
30.3
11.2
38.6
49.6
32.6
54.0
..
..
..
67.6
20.7
55.7
31.7
78.5
54.0
..
284.3
..
..
..
51.9
23.7
100.6
198
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0211.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
GDP
(2011 PPP
$ billions)
HDI rank
2012
Gross fixed
GDP per
capital
capita
formation
(2011
PPP $)
2012
General government
final consumption
expenditure
Total
(% of GDP)
DEBT
PRICES
Share of
Taxes on
Research agriculture,
Domestic
hunting, credit provided
income,
and
Total Consumer
profit and development forestry and by the banking External
debt
price
Domestic
capital gain expenditure fisheries
sector
index
debt stock service
food price level
Volatility
index
2013
b
(% of GDP)
Average
annual
(% of total
growth (%) tax revenue)
(% of GDP)
2005–2012
a
(% of GDP)
2012
(% of GDP)
2012
(% of GNI) (% of GNI) (2005=100)
2005–2012
a
2012
2012
Index
2013
2005–2012
a
2005–2012
a
2005–2012 2005–2012
a
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
11.8
3.3
23.9
1.9
24.5
13.9
7.3
25.1
7.2
9.5
24.9
4.4
29.6
15.2
..
0.2
..
..
..
..
19.4
0.0
739
782
1,607
1,164
971
1,216
737
1,528
1,180
1,586
2,003
964
451
884
..
3,526
..
..
..
..
1,790
3,489
13.5
25.0
22.2
..
24.7
17.6
20.0
16.7
10.0
40.3
31.8
12.5
20.5
36.8
..
..
..
..
..
..
10.5
..
18.2
33.0
27.4
17.1
23.7
..
22.0
20.1
27.0
21.0
21.6
..
22.6
19.9
15.2
17.1
..
14.0
10.6
28.0
19.3
21.1
10.1
13.2
8.1
13.2
14.4
..
..
..
..
..
..
17.1
..
19.2
14.9
12.0
12.6
14.5
..
15.0
16.6
11.3
17.8
12.4
..
17.6
10.0
2.9
3.8
..
14.7
69.2
2.3
9.5
–9.5
2.0
–0.9
–2.2
6.9
..
..
..
..
..
..
..
16.8
..
0.7
21.9
6.3
6.3
..
..
4.5
37.0
1.2
5.8
6.1
..
5.8
..
25.5
21.8
..
..
..
..
19.2
..
21.8
..
..
11.9
11.6
..
..
..
..
16.9
..
..
..
37.2
23.5
..
..
..
..
23.8
..
41.9
..
..
..
..
..
..
0.2
..
0.2
..
..
0.2
..
..
..
..
0.5
..
..
..
0.0
..
..
..
..
..
2.5
..
..
..
..
..
0.7
..
..
..
..
..
..
32.0
70.7
42.3
46.4
30.0
25.9
39.7
35.0
16.9
45.8
18.7
54.3
41.6
40.4
21.2
14.1
..
5.1
0.1
60.2
9.7
22.8
1.5
7.8
14.4
28.1
8.1
10.7
9.0
5.6
18.1
18.4
24.6
8.7
4.4
35.6
33.3
19.9
18.6
28.1
32.2
b
26.1
19.8
104.0
b
14.0
6.2
26.8
10.7
13.6
..
..
..
..
..
..
..
..
203.4
109.5
72.5
32.8
24.8
139.8
62.8
73.0
72.1
77.2
31.5
52.5
168.0
22.3
42.9
29.1
29.2
32.1
65.6
26.9
23.8
40.8
48.2
21.4
26.5
37.9
23.7
..
..
..
..
..
..
..
..
..
20.7
23.8
23.4
..
..
50.0
22.7
20.0
24.0
27.4
..
..
0.39
0.24
0.67
0.53
0.46
3.67
0.36
0.68
0.86
0.71
0.81
0.03
1.76
0.58
..
..
..
..
..
..
..
..
..
2.74
2.17
1.17
..
..
9.19
3.18
1.43
1.24
1.22
..
..
203
188
126
127
175
331
211
123
..
214
122
132
2,378
b
117
..
..
..
..
120
..
149
b
..
—
—
—
—
—
—
—
—
—
—
—
—
—
1.9
..
2.0
2.0
b
2.1
b
2.9
b
..
2.1
..
2.4
b
2.7
b
..
..
2.5
b
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
67.0
..
24.0
11.7
23.5
66.7
0.0
34.8
..
108.9
60.6
11.2
..
31.9
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
45,473.5 40,397
31,426.4 12,920
12,959.8 5,875
3,010.1 2,830
5,098.0
19,423.3
2,879.7
7,482.5
8,878.4
2,797.2
1,602.4
286.4
16,367
10,151
12,453
13,554
5,147
3,237
1,971
6,736
TABLE
10
92,889.4 13,599
NOTES
a
Data refer to the most recent year available
during the period specified.
b
Refers to a year earlier than that specified.
c
Mainland Tanzania only.
d
Excludes South Sudan.
DEFINITIONS
Gross domestic product (GDP):
Sum of gross
value added by all resident producers in the
economy plus any product taxes and minus any
subsidies not included in the value of the products,
expressed in 2005 international dollars using
purchasing power parity rates.
GDP per capita:
GDP in a particular period divided
by the total population for the same period.
Gross fixed capital formation:
Value of
acquisitions of new or existing fixed assets by
the business sector, governments and households
(excluding their unincorporated enterprises) less
disposals of fixed assets, expressed as a percentage
of GDP. No adjustment is made for depreciation of
fixed assets.
General government final consumption
expenditure:
All government current expenditures
for purchases of goods and services (including
compensation of employees and most expenditures
on national defense and security but excluding
government military expenditures that are part
of government capital formation), expressed as a
percentage of GDP.
Taxes on income, profit and capital gain:
Taxes
levied on the actual or presumptive net income
of individuals, on the profits of corporations and
enterprises, and on capital gains, whether realized
or not, on land, securities and other assets.
Research and development expenditure:
Current and capital expenditures (both public and
private) on creative work undertaken systematically
to increase knowledge and the use of knowledge
for new applications, expressed as a percentage of
GDP. It covers basic research, applied research, and
experimental development.
Shares of agriculture, hunting, forestry and
fisheries:
Gross value added in the agriculture,
hunting, forestry and fishery sectors, expressed as a
percentage of a GDP.
Domestic credit provided by the banking
sector:
Credit to various sectors on a gross basis,
with exception of credit to the central government,
which is net, expressed as a percentage of GDP.
External debt stock as a percentage of GNI:
Debt owed to nonresidents repayable in foreign
currency, goods or services, expressed as a
percentage of gross national income.
Total debt service:
Sum of principal repayments
and interest actually paid in foreign currency,
goods or services on long-term debt; interest paid
on short-term debt; and repayments (repurchases
and charges) to the International Monetary Fund,
expressed as a percentage of GNI.
Consumer price index:
Index that reflects changes
in the cost to the average consumer of acquiring a
basket of goods and services that may be fixed or
changed at specified intervals, such as yearly.
Domestic food price level index:
Food
purchasing power parity (PPP) rate divided by the
general PPP rate. The index shows the price of
food in a country relative to the price of the generic
consumption basket in the country.
Domestic food price level volatility index:
A
measure of variation of the domestic food price level
index, computed as the standard deviation of the
deviations from the trend over the previous five years.
MAIN DATA SOURCES
Columns 1 and 2:
World Bank 2014.
Columns 3–7 and 9–12:
World Bank 2013a.
Column 8:
United Nations Statistics Division 2013a.
Columns 13 and 14:
FAO 2013a.
TABLE 10
Command over and allocation of resources | 199
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0212.png
TABLE
11
Social competencies
Employment and vulnerability
Employment
to population
ratio
(% ages 25
and older)
Share of
working
poor (PPP
$2 a day)
(% of total
employment)
2003–2010
b
Mandatory
paid
maternity
Birth
leave
registration
(days)
2013
(% under
age 5)
Old age pension recipients
a
Suicide rate
Vulnerable
Youth
Unemployment
employment unemployment
rate
(% of total
employment)
2003–2012
b
(% ages
15–24)
2008–2012
b
(% ages 15
and older)
2004–2013
b
Child
labour
(% ages
5–14)
2005–
2012
(% of statutory pension-
age population)
Total
Female
Male
(per 100,000)
Female
Male
2003–
2009
b
HDI rank
2012
2003–
2005–2012
b
2004–2013
b
2004–2013
b
2004–2013
b
2009
b
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
65.5
62.3
65.9
61.0
61.0
58.0
66.2
62.9
72.5
59.2
55.6
62.7
71.2
59.1
60.9
65.4
58.5
..
63.4
54.4
58.9
53.0
60.5
57.6
56.4
47.1
47.9
59.3
43.8
68.1
89.8
62.4
59.4
60.4
58.5
55.5
..
57.0
49.9
84.4
64.8
55.5
50.7
72.5
58.4
76.3
47.4
55.0
62.5
65.3
70.8
44.9
53.9
57.3
55.4
67.6
65.0
..
9.0
9.1
11.5
..
6.8
12.1
..
9.3
..
11.7
..
..
..
7.4
24.8
10.5
..
7.2
7.1
8.6
10.3
5.7
..
12.8
18.2
..
15.0
29.7
..
0.4
12.5
..
..
8.9
18.2
..
12.4
8.9
1.0
24.4
16.7
..
2.0
..
2.2
16.5
..
19.0
..
..
..
2.1
31.5
..
..
..
8.6
11.7
8.4
9.5
16.2
8.1
17.7
14.3
6.7
14.1
30.4
23.7
13.6
21.0
9.3
9.0
7.9
..
12.1
23.8
8.7
19.8
18.8
17.7
20.6
35.3
53.2
19.5
55.3
..
1.3
27.8
20.9
28.3
26.4
26.5
..
34.0
14.2
12.1
16.3
37.6
28.1
5.0
3.1
..
43.1
28.4
18.3
18.5
30.8
41.1
12.5
22.7
..
..
14.8
3.1
5.2
4.2
5.3
7.4
5.5
6.9
7.2
3.1
7.5
14.7
8.0
6.0
7.9
3.3
3.2
4.3
2.5
c
6.8
9.9
4.3
7.5
5.1
7.7
8.8
10.7
25.0
7.0
24.2
1.7
0.4
11.8
10.2
5.6
13.2
10.1
..
14.0
6.4
4.2
6.0
15.7
10.9
1.1
3.2
3.6
15.8
14.9
7.3
6.4
14.7
19.7
0.7
7.0
..
..
5.5
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
2.9
3.4
d,e
..
4.6
..
..
..
..
6.5
d
7.9
d
..
9.9
1.4
0.9
e
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
0.0
..
..
..
..
..
0.0
..
1.8
0.0
..
..
0.0
..
..
..
0.0
..
..
98
112
..
98
98
105
112
126
182
..
90
273
70
90
98
..
98
112
112
105
..
147
105
150
112
196
119
..
..
..
140
70
126
182
..
238
..
45
126
..
168
..
..
70
208
112
90
84
..
45
126
126
..
42
140
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
..
100.0
100.0
100.0
100.0
100.0
..
..
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
..
..
100.0
100.0
..
100.0
100.0
100.0
100.0
100.0
100.0
99.8
d
100.0
100.0
..
100.0
d
..
..
100.0
99.0
d,e
100.0
..
99.0
100.0
..
..
..
100.0
100.0
83.0
100.0
100.0
92.5
100.0
98.0
97.7
..
100.0
90.5
100.0
100.0
99.5
72.9
77.6
80.3
..
73.6
100.0
100.0
84.6
90.0
100.0
95.1
81.1
68.2
100.0
77.4
81.7
7.9
85.2
98.0
..
100.0
96.5
..
100.0
60.5
..
74.5
100.0
91.4
40.1
..
27.3
57.6
100.0
90.7
68.2
84.2
52.3
93.6
98.0
43.3
24.7
100.0
100.0
87.6
100.0
100.0
..
100.0
96.5
..
..
100.0
66.3
100.0
100.0
99.2
..
..
..
..
..
100.0
93.7
67.8
56.4
100.0
85.9
69.2
46.6
100.0
54.6
..
..
57.2
97.5
..
100.0
94.9
..
100.0
32.0
..
73.4
100.0
87.6
..
..
..
44.2
100.0
93.3
64.4
..
..
..
88.0
..
..
100.0
100.0
77.5
100.0
100.0
..
100.0
99.8
..
..
100.0
100.0
100.0
100.0
100.0
..
..
..
..
..
100.0
77.5
100.0
100.0
100.0
100.0
100.0
97.4
100.0
100.0
..
..
100.0
98.5
..
100.0
100.0
..
100.0
97.5
..
76.4
100.0
97.7
..
..
..
85.1
100.0
86.8
73.6
..
..
..
100.0
..
..
100.0
6.5
3.6
11.4
5.5
4.5
6.0
5.5
5.4
7.7
6.4
4.7
6.8
7.0
3.0
10.7
22.1
13.2
..
1.5
8.5
7.1
10.3
3.2
10.0
9.4
2.8
3.4
4.4
1.0
..
..
1.7
7.3
..
10.4
4.1
..
3.4
1.0
..
4.2
4.0
10.6
3.5
5.5
1.7
7.5
8.2
3.0
6.3
0.6
..
8.8
3.5
..
..
9.5
17.3
12.8
24.8
13.1
17.7
17.9
18.1
17.3
12.9
17.5
19.0
18.7
16.5
10.9
19.0
39.9
36.2
..
7.0
24.7
23.8
28.8
16.1
29.0
34.6
10.0
11.9
23.9
6.0
..
..
7.4
30.6
..
61.3
26.4
..
22.3
5.9
..
18.2
15.6
40.0
4.0
19.0
1.9
28.9
40.0
12.6
26.0
1.9
..
48.7
21.0
..
..
53.9
200
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0213.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Employment and vulnerability
Employment
to population
ratio
(% ages 25
and older)
HDI rank
2012
Share of
working
poor (PPP
$2 a day)
(% of total
employment)
2003–2010
b
Mandatory
paid
maternity
Birth
leave
registration
(days)
2013
(% under
age 5)
Old age pension recipients
a
Suicide rate
Vulnerable
Youth
Unemployment
employment unemployment
rate
(% of total
employment)
2003–2012
b
(% ages
15–24)
2008–2012
b
(% ages 15
and older)
2004–2013
b
Child
labour
(% ages
5–14)
2005–
2012
(% of statutory pension-
age population)
Total
Female
Male
(per 100,000)
Female
Male
2003–
2009
b
2003–
2005–2012
b
2004–2013
b
2004–2013
b
2004–2013
b
2009
b
58 Bulgaria
59 Barbados
60 Palau
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
50.3
67.5
..
..
65.5
59.3
64.5
50.0
68.8
68.2
64.0
48.5
75.2
63.9
..
..
57.9
44.7
73.0
44.3
47.2
68.4
62.4
..
78.9
58.2
66.9
42.9
36.4
58.6
56.3
77.0
47.1
72.2
..
45.4
..
53.3
65.3
..
68.2
72.2
56.3
..
63.2
67.4
69.3
62.1
..
40.3
70.7
74.5
51.2
71.5
63.2
78.5
42.7
64.5
8.0
14.0
..
..
..
16.2
15.6
33.9
29.2
31.8
20.2
32.1
29.2
..
..
..
..
..
54.7
9.7
26.4
..
60.6
..
46.3
..
..
22.1
27.4
..
38.8
53.5
28.8
..
8.0
29.5
..
..
..
..
..
..
..
55.2
..
29.6
54.9
..
38.1
26.7
57.2
..
23.1
..
52.9
..
28.6
..
28.1
..
..
..
10.3
23.7
10.5
16.8
10.3
17.1
18.4
17.5
3.9
9.4
..
..
17.3
23.0
14.2
29.3
51.1
15.4
33.3
..
9.5
17.3
..
53.9
62.8
39.2
..
2.8
42.3
..
33.8
22.4
..
22.5
34.0
..
21.9
11.1
..
..
29.4
..
11.9
..
16.1
38.8
22.2
..
24.8
11.2
..
6.2
13.1
12.4
12.3
11.6
..
..
3.0
8.1
5.0
f
9.0
6.5
7.5
7.8
8.1
5.8
4.8
..
..
5.0
13.5
5.2
12.2
23.9
6.2
15.0
..
6.8
g
7.5
14.4
31.0
28.0
28.6
4.6
0.6
17.6
4.1
h
..
9.8
..
13.8
13.9
21.0
11.8
5.0
9.5
1.1
14.7
11.7
9.9
4.0
..
22.9
6.2
17.6
9.0
5.7
20.4
5.2
5.6
6.4
..
..
..
..
..
..
0.7
1.9
5.6
d
7.7
e
4.7
2.6
d
2.2
6.3
..
..
..
11.4
6.5
d
1.9
d
4.4
8.6
d
18.4
..
33.5
d
7.3
5.8
12.5
5.3
3.9
d
..
8.3
2.1
..
..
4.7
d
..
12.0
6.1
..
13.0
d
7.5
4.1
..
12.9
..
10.4
..
..
5.7
6.9
d
9.0
d
9.3
14.6
13.4
26.4
d
16.3
10.4
d
..
..
..
..
1.9
..
..
..
6.8
8.2
4.2
6.4
1.1
6.5
..
..
26.0
6.2
6.1
2.8
..
5.9
26.8
..
13.5
0.0
..
3.4
0.0
9.0
49.7
10.1
..
..
..
..
..
3.4
4.6
..
22.6
12.1
..
..
10.7
11.2
..
..
..
..
52.0
..
14.4
11.0
14.2
23.4
10.9
12.1
410
..
..
..
60
84
..
49
98
182
120
112
126
84
..
..
84
90
126
70
135
120
126
..
90
126
..
270
365
140
84
45
30
98
..
98
..
365
56
..
98
84
..
..
84
..
120
..
..
70
90
84
90
63
98
84
126
84
100.0
..
..
..
..
..
97.0
99.5
..
81.0
d,e
..
93.7
99.7
93.4
..
..
97.2
98.6
93.6
99.1
98.9
93.4
d
98.5
..
96.0
99.8
95.2
99.7
99.5
99.6
..
100.0
99.2
..
..
99.3
..
98.6
97.8
..
96.5
90.0
98.9
..
82.4
92.5
99.0
95.5
47.7
99.3
d
67.0
72.2
99.0
76.0
89.6
e
75.8
d
100.0
e
98.6
96.9
68.3
48.0
69.7
19.8
100.0
98.7
0.0
37.3
59.4
55.8
88.1
95.9
25.2
100.0
44.7
17.1
26.4
81.7
42.2
46.1
86.3
89.8
34.0
33.2
95.0
64.6
52.2
29.6
80.0
10.6
81.7
68.8
74.4
76.6
63.6
38.5
77.0
55.5
26.5
23.0
53.0
..
1.0
11.1
99.7
100.0
..
49.5
8.0
8.1
100.0
32.7
22.2
38.8
100.0
72.8
18.1
95.5
..
..
..
..
100.0
..
..
28.9
50.2
48.8
..
..
17.2
..
39.7
..
..
79.0
11.8
44.8
83.0
..
..
26.1
..
..
..
..
..
..
84.6
..
..
..
..
..
60.8
..
8.3
18.4
50.8
..
..
6.2
..
..
..
..
..
..
100.0
8.0
20.0
..
100.0
77.0
10.3
99.4
..
..
..
..
100.0
..
..
49.4
70.0
65.4
..
..
34.6
..
51.6
..
..
82.6
82.3
48.4
90.6
..
..
41.4
..
..
..
..
..
..
77.9
..
..
..
..
..
100.0
..
10.3
28.3
55.5
..
..
16.5
..
..
..
..
..
..
100.0
61.7
24.9
..
100.0
63.7
31.6
6.2
0.0
..
..
..
1.9
3.8
..
1.9
1.2
1.9
..
9.4
1.5
0.0
..
..
..
0.3
0.0
10.0
2.0
1.7
0.0
1.0
7.0
0.7
4.0
..
1.1
..
3.8
..
..
1.9
..
..
3.3
..
0.0
2.0
3.6
4.8
..
0.7
0.0
..
..
..
..
..
..
0.0
2.0
..
..
5.6
3.6
18.8
7.3
..
..
..
11.8
17.9
..
9.0
5.3
10.2
..
43.0
7.0
8.9
..
..
..
1.0
0.2
28.1
7.7
7.1
0.0
1.9
37.8
6.6
9.5
..
2.8
..
12.0
..
..
5.4
..
..
4.7
..
4.9
7.9
10.5
23.9
..
3.9
0.7
..
..
..
..
..
..
0.1
5.1
..
..
30.1
12.9
TABLE
11
TABLE 11
Social competencies | 201
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0214.png
TABLE 11
SOCIAL COMPETENCIES
Employment and vulnerability
Employment
to population
ratio
(% ages 25
and older)
HDI rank
2012
Share of
working
poor (PPP
$2 a day)
(% of total
employment)
2003–2010
b
Mandatory
paid
maternity
Birth
leave
registration
(days)
2013
(% under
age 5)
Old age pension recipients
a
Suicide rate
Vulnerable
Youth
Unemployment
employment unemployment
rate
(% of total
employment)
2003–2012
b
(% ages
15–24)
2008–2012
b
(% ages 15
and older)
2004–2013
b
Child
labour
(% ages
5–14)
2005–
2012
(% of statutory pension-
age population)
Total
Female
Male
(per 100,000)
Female
Male
2003–
2009
b
2003–
2005–2012
b
2004–2013
b
2004–2013
b
2004–2013
b
2009
b
TABLE
11
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
62.6
69.3
48.6
47.0
44.0
56.2
80.9
66.8
..
69.1
70.7
63.5
54.0
66.6
51.5
..
65.5
..
71.1
60.8
81.0
85.8
81.6
85.0
78.6
79.9
73.4
..
86.5
85.2
56.3
75.6
56.1
75.5
83.1
92.6
80.5
61.7
50.0
91.4
88.6
77.9
72.8
62.4
91.9
44.5
59.9
75.5
86.8
80.8
55.1
83.9
75.5
52.2
..
73.1
80.4
84.1
..
39.8
10.1
32.9
..
..
62.5
..
..
..
47.3
32.7
69.6
..
50.7
70.0
..
..
..
80.8
53.1
..
76.8
..
75.1
81.0
85.0
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
87.7
..
..
..
..
89.9
..
89.1
..
..
..
..
..
..
..
16.3
51.5
19.2
..
..
5.5
..
..
7.5
..
34.3
14.8
8.0
18.6
..
11.9
..
16.7
10.7
7.2
3.4
..
..
..
..
..
..
..
..
7.7
..
..
..
..
..
..
..
33.7
..
..
..
..
..
7.1
..
34.4
..
5.4
..
22.9
..
..
..
..
..
..
..
0.4
c
7.3
25.1
e
8.6
8.0
i
..
1.8
..
..
2.9
8.4
16.7
..
4.3
9.0
5.5
7.8
30.6
11.5
9.3
2.0
7.1
i
5.3
e
1.4
10.0
j
13.2
k
4.5
16.6
..
..
5.5
..
28.2
..
..
..
3.8
23.9
l
16.2
3.8
5.4
..
..
..
4.3
10.1
e
24.4
10.4
9.1
g
..
19.8
..
..
8.5
..
..
..
17.5
e,j
..
..
..
4.0
4.7
16.4
6.9
3.2
d,e
..
25.8
d
3.6
..
4.2
15.6
8.3
..
14.5
e
..
10.0
11.8
2.9
36.1
d
33.9
10.1
24.7
40.6
d
12.8
7.5
27.8
e
33.9
d
..
25.9
e
7.3
23.5
e
..
28.5
41.7
24.7
22.7
e
28.1
d
..
..
..
27.1
e
21.1
d
14.6
22.9
e
16.5
d
25.4
d
45.6
..
28.3
24.4
10.3
7.7
26.0
19.2
27.4
e
66.5
40.9
19.7
12.9
16.6
..
37.3
..
..
..
25.5
..
68.2
29.6
13.0
..
27.4
..
48.3
74.5
50.8
53.1
48.3
64.0
72.9
76.1
80.1
..
14.0
74.1
57.0
33.6
..
..
60.8
87.4
..
79.2
33.5
88.1
87.1
..
44.2
61.2
84.7
..
51.2
61.1
61.7
71.3
..
66.7
..
73.6
..
45.5
54.5
73.1
126
60
120
120
..
..
180
..
..
84
126
84
..
84
98
..
84
..
140
84
..
90
84
90
105
84
112
..
..
52
84
90
..
90
..
84
98
84
70
98
98
..
..
..
84
98
84
98
60
98
56
98
42
..
..
98
..
90
99.9
90.0
e
95.0
e
96.0
99.2
87.9
95.0
91.4
..
96.7
96.0
78.0
55.2
93.6
94.0
d,e
43.0
85.0
d
93.5
88.3
41.1
99.9
62.1
62.5
74.8
91.0
d
14.0
30.5
75.1
37.0
e
42.3
26.5
60.0
49.5
36.0
e
72.4
63.2
61.4
41.5
17.0
79.7
48.8
..
..
88.0
e
16.3
58.8
45.1
74.6
29.9
80.2
59.3
77.9
79.7
37.4
92.0
65.0
52.5
6.6
98.1
28.5
92.6
16.7
56.0
100.0
34.5
55.7
..
14.1
100.0
98.4
100.0
8.4
39.8
3.5
23.7
..
80.2
24.1
3.2
5.0
7.6
5.6
22.1
7.7
39.5
41.8
..
62.5
2.3
7.9
86.0
14.5
..
4.7
12.5
..
8.5
4.6
6.2
0.9
13.1
..
3.2
9.3
d
100.0
23.5
6.6
9.7
4.6
10.9
1.0
10.7
12.0
d
7.7
10.8
9.0
..
..
..
..
..
..
..
52.8
..
10.3
100.0
..
..
5.8
..
..
16.2
..
72.1
..
..
..
..
..
4.7
..
..
..
..
..
..
..
..
..
..
..
5.9
..
..
..
..
..
..
..
..
..
100.0
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
59.8
..
18.2
100.0
..
..
13.8
..
..
42.3
..
95.6
..
..
..
..
..
42.4
..
..
..
..
..
..
..
..
..
..
..
20.2
..
..
..
..
..
..
..
..
..
100.0
..
..
..
..
..
..
..
..
..
..
..
2.3
..
0.4
..
..
13.4
..
..
..
1.7
3.6
..
..
..
..
..
2.6
..
2.3
7.8
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
0.0
..
..
..
..
..
7.0
..
1.4
..
..
39.0
..
..
..
5.6
14.1
..
..
..
..
..
9.0
..
2.9
13.0
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
0.0
..
..
..
..
..
202
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0215.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Employment and vulnerability
Employment
to population
ratio
(% ages 25
and older)
HDI rank
2012
Share of
working
poor (PPP
$2 a day)
(% of total
employment)
2003–2010
b
Mandatory
paid
maternity
Birth
leave
registration
(days)
2013
(% under
age 5)
Old age pension recipients
a
Suicide rate
Vulnerable
Youth
Unemployment
employment unemployment
rate
(% of total
employment)
2003–2012
b
(% ages
15–24)
2008–2012
b
(% ages 15
and older)
2004–2013
b
Child
labour
(% ages
5–14)
2005–
2012
(% of statutory pension-
age population)
Total
Female
Male
(per 100,000)
Female
Male
2003–
2009
b
2003–
2005–2012
b
2004–2013
b
2004–2013
b
2004–2013
b
2009
b
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
91.8
72.0
65.5
77.8
89.4
79.0
87.8
85.5
83.9
76.7
76.7
82.3
82.2
66.0
79.1
..
..
..
..
59.2
..
..
58.7
68.1
63.7
72.2
52.7
72.8
56.5
67.3
60.9
75.0
77.8
65.7
65.4
..
78.7
82.9
..
87.8
..
94.6
89.6
..
..
..
..
..
84.8
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
5.1
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
18.3
16.2
..
..
24.6
..
19.2
14.0
..
..
..
..
..
..
3.7
7.3
..
22.5
1.7
..
2.3
..
2.8
..
..
..
..
..
..
..
..
..
..
..
..
7.9
5.4
8.3
..
10.4
..
8.3
6.6
8.6
..
..
..
7.5
25.7
20.8
21.4
38.0
22.2
40.1
26.3
39.2
..
26.0
26.1
28.5
15.0
42.8
..
..
..
..
..
49.0
..
..
..
..
11.8
25.2
..
..
4.7
11.1
12.3
26.2
23.5
..
..
89.3
94.4
77.7
..
81.1
70.2
89.8
81.1
73.1
78.2
80.4
77.5
82.2
73.7
60.8
..
..
..
..
74.5
..
..
..
..
60.5
74.9
..
..
19.7
..
74.2
71.1
77.8
..
..
56
90
98
..
60
98
84
98
..
84
98
..
98
98
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
..
3.6
d
80.8
24.1
47.9
43.2
75.2
76.9
..
78.0
15.7
61.0
27.8
31.8
d
100.0
95.9
100.0
82.6
100.0
3.0
35.4
49.9
99.9
..
57.2
40.3
80.8
79.0
96.5
92.5
41.3
43.5
38.1
..
62.3
4.1
..
5.7
6.2
17.3
8.8
4.0
3.2
..
0.9
1.6
..
15.0
6.1
..
64.2
..
56.5
..
..
..
19.5
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
3.7
..
15.9
..
2.0
0.5
..
..
..
..
..
..
..
..
..
..
..
..
..
..
87.5
..
..
..
..
..
..
..
..
..
..
..
..
..
..
8.5
..
20.0
..
6.8
7.1
..
..
..
..
..
..
..
..
..
..
..
..
..
..
97.5
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
6.6
..
..
..
..
..
5.5
2.0
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
20.5
..
..
..
..
..
23.9
8.1
..
..
..
..
..
TABLE
11
NOTES
a
Because data are based on statutory pension age,
which differs by country, comparisons should be
made with caution.
b
Data refer to the most recent year available
during the period specified.
c
Registered unemployed people only.
d
Refers to an earlier year than the period specified.
e
Differs from standard definition or refers to only
part of the country.
f
Excludes first-time job seekers.
g
Main cities and metropolitan areas only.
h
Registered unemployed people in urban areas only.
i
Includes those on nonstandard type of break.
j
Includes young people ages 12–14.
k
Urban areas only.
l
Includes those working less than 40 hours a week.
DEFINITIONS
Employment to population ratio:
Percentage of
the population ages 25 and older that is employed.
Vulnerable employment:
Percentage of employed
people engaged as unpaid family workers and own-
account workers.
Youth unemployment:
Percentage of the labour
force population ages 15–24 that is not in paid
employment or self-employed but is available for
work and has taken steps to seek paid employment
or self-employment.
Unemployment rate:
Percentage of the labour
force population ages 15 and older that is not in paid
employment or self-employed but is available for
work and has taken steps to seek paid employment
or self-employment.
Child labour:
Percentage of children ages 5–11
who, during the reference week, did at least one
hour of economic activity or at least 28 hours of
household chores, or children ages 12–14 who,
during the reference week, did at least 14 hours of
economic activity or at least 28 hours of household
chores.
Share of working poor:
Employed people living
on less than $2 (in purchasing power parity terms)
per day, expressed as a percentage of the total
employed population ages 15 and older.
Mandatory paid maternity leave:
Length of paid
time off work that a female employee is entitled to
in order to take care of a newborn child.
Birth registration:
Percentage of children under age
5 who were registered at the moment of the survey.
It includes children whose birth certificate was seen
by the interviewer and children whose mother or
caretaker says the birth has been registered.
Old age pension recipient:
People above the
statutory pensionable age receiving an old age
pension (contributory, noncontributory or both),
expressed as a percentage of the eligible population.
Suicide rate:
Number of deaths from purposely
self-inflicted injuries, in the total population or of a
given sex or age, divided by the total number of the
reference population, expressed per 100,000 people.
MAIN DATA SOURCES
Columns 1, 2, 3 and 6:
ILO 2013a.
Column 4:
ILO 2014b.
Columns 5 and 8:
UNICEF 2014.
Column 7:
World Bank 2013b.
Columns 9–11:
ILO 2014a.
Columns 12 and 13:
WHO 2013c.
TABLE 11
Social competencies | 203
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0216.png
TABLE
12
Personal insecurity
Vulnerable groups
Refugees by
Internally
country of origin
a
displaced persons
b
(thousands)
(thousands)
2012
Homeless
people
(% of population)
2009
Orphaned
children
(thousands)
2012
Prison
population
(per 100,000
people)
2002–2013
c
Long-term
unemployment rate
(% of the
labour force)
2005–2012
c
Depth of
food deficit
(kilocalories per
person per day)
2011/2013
Homicide
rate
(per 100,000)
2008–2011
Attitudes
Justification of
wife beating
(% of women
ages 15–49)
2005–2012
c
(% of men
ages 15–49)
2005–2012
c
HDI rank
2012
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
58 Bulgaria
59 Barbados
0.0
0.0
0.0
0.1
4.5
d
0.2
0.0
0.1
0.1
0.0
0.0
0.0
0.0
0.2
0.0
0.6
0.2
..
1.3
0.1
0.0
0.1
..
0.0
0.0
0.1
0.1
0.6
0.1
0.0
0.1
0.0
0.5
0.8
0.5
1.6
0.0
0.2
0.0
0.6
1.2
0.0
1.1
0.3
6.7
1.2
62.6
0.7
0.4
0.2
0.2
4.1
6.2
2.8
5.3
0.1
110.7
2.1
0.1
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
208
f
..
..
..
..
..
..
..
..
..
..
..
..
..
..
0
..
..
..
..
..
..
..
50
h
..
9.9
i
..
..
..
..
..
..
..
..
..
..
0.0
..
..
..
..
..
..
0.4
..
..
0.0
..
..
..
..
..
..
..
..
..
..
0.0
0.0
..
..
0.0
..
..
..
..
..
0.0
0.6
..
..
0.0
1.9
..
..
..
0.4
0.4
0.6
..
..
..
0.0
0.0
..
..
1.0
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
72
130
82
82
716
79
192
118
230
73
88
67
47
148
128
99
51
24
223
98
e
98
108
122
58
66
106
147
154
111
122
60
106
g
238
162
329
217
38
187
145
238
266
136
186
275
510
137
108
304
147
281
444
208
335
155
81
61
475
151
521
0.3
1.1
1.5
1.7
2.4
2.5
0.8
0.9
0.6
4.7
9.0
1.3
1.5
2.7
..
0.0
1.6
..
0.8
3.9
1.1
3.4
1.6
1.6
4.2
5.6
11.1
3.0
14.4
..
0.1
3.6
5.5
..
6.5
3.5
..
8.9
3.0
..
..
7.6
5.1
..
..
..
10.2
7.7
2.0
..
7.1
15.8
..
3.2
..
..
1.7
6.8
2.3
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
6
..
..
..
..
..
..
..
..
..
..
..
..
..
2
..
..
..
12
..
..
..
..
..
25
23
..
..
..
4
11
..
..
23
42
40
..
..
..
8
..
..
..
23
2.3
1.1
0.6
0.9
4.7
0.8
0.9
1.5
0.3
0.8
0.9
0.9
0.9
1.2
0.2
2.6
0.3
0.0
2.0
1.2
0.8
1.8
0.8
2.2
0.8
0.9
0.8
0.8
1.6
..
0.9
0.8
4.8
..
6.4
1.2
1.2
1.8
0.7
..
3.7
1.1
1.4
0.5
5.0
2.2
1.1
3.1
5.5
5.9
36.6
3.6
4.9
1.6
2.9
0.7
9.7
1.7
11.3
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
10.9
4.1
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
4.2
..
..
..
..
..
..
204
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0217.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Vulnerable groups
Refugees by
Internally
country of origin
a
displaced persons
b
(thousands)
HDI rank
2012
(thousands)
2012
Homeless
people
(% of population)
2009
Orphaned
children
(thousands)
2012
Prison
population
(per 100,000
people)
2002–2013
c
Long-term
unemployment rate
(% of the
labour force)
2005–2012
c
Depth of
food deficit
(kilocalories per
person per day)
2011/2013
Homicide
rate
(per 100,000)
2008–2011
Attitudes
Justification of
wife beating
(% of women
ages 15–49)
2005–2012
c
(% of men
ages 15–49)
2005–2012
c
60 Palau
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
..
0.0
0.5
0.1
0.3
15.1
0.1
8.2
0.3
135.4
3.6
8.4
0.0
0.0
132.8
75.6
15.9
2.4
157.9
1.1
9.3
0.3
5.2
25.3
0.0
7.6
51.9
16.1
1.3
0.4
1.9
193.3
1.3
5.7
0.1
12.6
1.4
0.6
111.8
0.8
0.0
0.0
0.3
0.0
2.1
0.7
0.0
5,366.7
p
10.1
0.1
10.0
0.1
0.2
0.6
6.1
8.2
7.1
1.0
0.4
728.2
..
..
..
..
..
44.6
..
..
..
954–1,201
j
..
..
..
..
90
..
600
k
..
225
..
280
l
..
150
..
..
..
113
8.4
..
..
..
..
..
..
..
..
..
..
4,900–5,500
..
..
..
..
..
..
..
..
144.5
170
..
..
..
..
..
..
..
3.4
72
r
..
6500
..
9.4
0.3
0.3
0.0
0.1
0.5
0.7
1.4
1.6
..
0.7
0.2
0.2
12.1
0.5
..
0.0
..
0.3
..
0.0
2.5
..
0.0
..
..
..
1.9
0.4
0.0
4.5
0.0
0.8
7.4
..
0.1
0.2
1.7
0.9
0.0
3.6
1.5
13.9
0.0
..
16.0
..
0.8
2.0
0.1
0.2
0.0
0.8
..
0.0
..
3.3
0.1
0.0
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
160
..
..
61
..
..
..
..
..
4,000
..
295
403
132
202
281
118
411
161
314
179
295
210
709
714
132
284
413
95
142
274
225
m
424
202
305
476
122
80
164
174
398
199
121
n
376
162
391
158
152
317
245
149
186
150
240
307
o
287
224
228
..
59
205
80
118
196
140
188
q
422
152
111
294
58
..
..
..
2.0
..
..
..
..
..
2.3
..
0.1
..
..
1.5
..
..
..
18.7
9.8
..
..
..
2.1
..
25.4
25.4
9.7
2.6
0.1
..
..
16.9
7.1
..
10.6
..
..
..
..
..
..
..
..
3.4
..
..
..
..
10.4
7.7
..
..
1.3
1.7
..
..
0.1
8.1
..
..
100
23
37
53
20
57
14
57
5
3
2
49
72
200
29
9
20
..
56
..
138
76
..
39
..
..
16
18
40
6
76
38
15
14
..
60
88
70
106
70
..
107
35
188
15
23
211
64
187
8
157
35
140
..
78
38
100
13
38
0.0
6.8
..
3.4
26.1
2.2
21.3
45.1
10.0
3.3
8.8
23.7
..
38.2
3.6
3.0
2.2
..
1.3
21.8
2.5
11.5
10.3
4.3
39.0
1.5
1.3
1.4
..
4.8
1.1
1.0
19.2
0.8
22.1
4.4
41.2
25.2
33.2
18.2
4.6
1.0
25.0
1.6
9.5
..
1.1
..
0.6
14.5
3.3
11.4
13.8
7.7
8.6
70.2
3.1
5.4
30.9
2.3
..
..
..
..
7.6
9.7
j
..
..
j
..
24.7
12.2
..
..
..
53.2
j
..
49.0
90.0
j
2.9
..
6.9
..
..
3.6
8.6
14.5
4.8
9.3
..
..
30.3
..
..
67.9
..
29.8
2.9
j
..
..
..
12.5
..
4.1
30.8
j
10.1
37.7
j
60.8
..
35.0
j
..
39.3
..
50.2
16.1
20.8
..
69.6
14.1
..
..
..
..
..
..
..
..
..
..
j
..
..
16.7
..
..
..
..
..
58.3
..
6.6
j
..
..
..
..
11.1
..
..
6.0
19.9
..
..
..
..
..
..
..
36.4
21.5
j
..
..
..
..
..
..
14.3
j
8.8
j
..
45.7
..
17.0
j
..
..
..
39.7
..
21.7
j
..
59.4
j
..
..
..
TABLE
12
TABLE 12
Personal insecurity | 205
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0218.png
TABLE 12
PERSONAL INSECURITY
Vulnerable groups
Refugees by
Internally
country of origin
a
displaced persons
b
(thousands)
HDI rank
2012
(thousands)
2012
Homeless
people
(% of population)
2009
Orphaned
children
(thousands)
2012
Prison
population
(per 100,000
people)
2002–2013
c
Long-term
unemployment rate
(% of the
labour force)
2005–2012
c
Depth of
food deficit
(kilocalories per
person per day)
2011/2013
Homicide
rate
(per 100,000)
2008–2011
Attitudes
Justification of
wife beating
(% of women
ages 15–49)
2005–2012
c
(% of men
ages 15–49)
2005–2012
c
TABLE
12
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
746.4
s
0.8
336.9
t
0.0
..
6.4
3.5
1.1
0.0
2.6
2.4
0.0
1.5
0.0
0.7
14.3
41.6
14.0
24.3
8.0
12.2
0.2
10.2
0.0
0.2
7.6
33.6
8.9
0.1
20.2
215.3
97.5
13.4
18.0
2.6
0.3
22.1
0.2
0.1
0.5
1.1
33.8
0.0
18.7
5.6
0.5
558.5
y
15.7
38.6
2,585.6
0.6
100.7
3.1
74.9
0.3
23.5
149.9
1.2
0.2
14.2
2,100
..
..
..
..
..
67
..
..
..
..
..
..
..
..
540
..
..
..
..
7.8
..
..
..
..
..
758
u
412
v
..
..
498
..
..
..
307
..
..
..
..
..
..
..
..
10–40
30
..
2900
..
360
493
..
40–80
z
..
..
..
..
353.4
..
..
..
0.0
1.4
2.0
1.1
..
0.0
..
0.0
0.2
0.9
0.0
5.0
0.4
4.8
..
1.0
0.2
2.2
1.2
19.7
2.1
0.1
2.1
0.0
0.0
0.9
6.2
0.0
0.0
0.2
0.3
0.1
0.1
0.5
1.2
3.8
0.5
3.7
0.3
0.1
0.2
2.2
0.1
0.6
1.4
0.9
1.3
1.8
1.6
0.7
3.1
0.4
0.4
0.2
1.9
0.2
0.7
0.1
3.0
0.0
..
..
..
..
..
..
..
130
..
..
..
..
..
..
..
..
..
..
1,000
..
220
1,400
..
..
..
..
..
2,600
120
1,100
..
590
1,300
11,500
..
..
1,200
320
..
..
3,100
..
220
..
2,700
450
..
360
430
..
43
1,300
..
4,500
1,300
190
..
120
2,000
670
110
260
145
o
267
80
105
181
191
25
153
220
76
153
114
130
30
135
106
54
69
31
119
42
128
95
48
39
121
284
105
120
492
w
119
32
55
x
87
129
48
55
16
78
45
121
64
97
75
56
64
96
76
83
34
aa
56
136
76
46
36
..
65
25
..
..
..
..
..
..
..
30.9
0.4
..
5.8
..
..
..
..
1.4
..
..
..
..
..
..
..
..
..
1.0
1.1
..
..
..
..
..
..
..
4.0
..
..
..
..
..
..
..
15.6
..
..
..
..
..
..
..
..
..
..
1.3
..
..
..
..
5.9
..
217
33
63
66
..
201
39
212
254
46
31
48
144
48
249
121
..
102
18
195
234
306
118
45
..
112
131
166
262
153
..
201
85
42
188
176
226
..
81
655
221
46
102
142
192
34
..
98
431
..
143
133
102
314
119
201
39
61
269
91
2.0
17.2
1.6
..
0.9
38.5
6.5
..
6.9
91.6
1.4
0.9
12.6
7.3
2.1
3.5
1.0
..
15.7
4.6
30.8
1.8
2.7
3.6
20.7
2.8
7.8
6.3
..
19.0
10.2
17.1
..
12.2
4.2
8.1
7.7
13.0
3.7
12.2
24.5
14.7
35.2
8.7
10.9
15.1
24.2
10.9
6.9
2.4
3.4
56.9
10.8
25.5
36.0
10.1
8.0
20.2
3.3
22.5
51.2
16.3
35.8
17.3
..
..
37.7
35.2
86.2
12.4
63.9
60.0
13.7
75.6
74.4
j
54.4
68.4
45.7
j
44.1
58.2
75.7
61.9
32.5
19.5
..
23.2
..
52.6
27.6
..
..
56.2
46.5
45.6
..
32.3
39.6
..
68.8
..
53.5
37.9
37.1
60.0
58.3
46.6
47.0
43.0
16.7
90.2
..
47.9
74.5
68.4
12.6
59.3
87.2
40.2
22.9
85.6
..
19.3
..
16.3
j
..
..
..
40.8
80.7
9.9
..
..
..
59.7
..
51.0
..
22.4
j
25.7
j
49.1
..
49.3
..
21.7
..
21.5
..
44.0
23.1
j
..
..
25.1
38.7
..
..
30.1
33.7
..
65.1
..
38.1
..
48.4
24.7
43.7
13.5
..
..
14.9
..
..
42.0
..
44.9
12.9
30.2
..
..
19.9
..
206
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0219.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Vulnerable groups
Refugees by
Internally
country of origin
a
displaced persons
b
(thousands)
HDI rank
2012
(thousands)
2012
Homeless
people
(% of population)
2009
Orphaned
children
(thousands)
2012
Prison
population
(per 100,000
people)
2002–2013
c
Long-term
unemployment rate
(% of the
labour force)
2005–2012
c
Depth of
food deficit
(kilocalories per
person per day)
2011/2013
Homicide
rate
(per 100,000)
2008–2011
Attitudes
Justification of
wife beating
(% of women
ages 15–49)
2005–2012
c
(% of men
ages 15–49)
2005–2012
c
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
NOTES
a
Data refer to those recognized under the 1951
UN Convention, the 1967 UN Protocol and the
1969 Organization of African Unity Convention.
In the absence of government figures, the Office
of the United Nations High Commissioner for
Refugees (UNHCR) has estimated the refugee
population in 25 industrialized countries based
on 10 years of individual refugee recognition.
b
For more detailed comments on the estimates,
see www.internal-displacement.org.
c
Data refer to the most recent year available
during the period specified.
d
A limited number of countries record refugee
and asylum statistics by country of birth rather
than country of origin. This affects the number
of refugees reported as originating from United
States.
e
Excludes territories in Africa, the Americas and
Oceania.
f
Includes more than 200,000 Greek and Turkish
Cypriots displaced in 1974.
g
Does not include the internationally
unrecognized Turkish Republic of Northern
Cyprus.
h
Excludes non-Libyans displaced within the country.
i
Includes internally displaced persons from
Chechnya and North Ossetia with forced migrant
status in and outside the North Caucasus.
j
Based on a Hacettepe University survey
commissioned by the government.
k
Includes internally displaced persons from
Nagorno Karabakh and and surrounding districts
as well as children born during displacement.
l
Includes people displaced in the 1990s and
in 2008 as well as 10,000 people internally
73.6
1.5
247.8
7.4
15.8
162.4
509.2
0.8
1.1
0.0
0.0
..
0.0
1,136.1
86.9
ad
0.0
86.9
1,136.6
7,369.0
5,085.4
8,585.0
784.3
463.9
207.9
2,901.2
1,768.7
6,185.7
54.1
14,902.2
78.8
..
10
..
90
533
ab
2,770
..
..
..
..
..
..
1,133
430
..
—
—
—
—
—
—
—
—
—
—
—
—
—
1.0
0.4
0.4
0.4
1.1
2.2
0.4
1.3
5.3
..
..
..
..
6.8
..
5.5
..
3.2
1.1
1.6
0.5
3.6
..
0.7
1.7
0.7
1.3
1.8
2.1
680
980
160
370
960
..
5,100
..
..
..
..
..
..
..
470
..
..
..
..
..
..
..
..
..
..
4,535
..
..
..
72
28
..
52
41
19
33
42
..
58
73
277
6
..
65
120
283
186
63
71
116
123
220
230
46
91
77
231
145
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
3.1
..
..
..
..
..
..
..
..
..
..
..
..
581
178
488
209
216
196
..
77
238
..
..
..
..
..
..
..
..
62
104
157
56
76
..
57
119
149
187
152
..
4.1
18.0
17.8
14.9
15.8
29.3
21.7
3.8
15.2
..
0.0
9.8
..
1.5
..
..
2.3
6.4
4.7
14.1
4.9
1.8
3.8
22.7
3.8
17.4
12.8
14.2
6.5
72.9
43.5
70.7
73.3
62.3
79.6
75.9
70.1
..
55.9
..
..
..
75.7
ac
78.5
70.0
..
..
46.8
53.8
..
..
26.8
..
51.9
54.7
52.0
..
..
44.3
34.1
..
..
..
80.3
j
..
..
..
57.6
..
..
..
..
..
73.1
..
..
..
..
..
..
..
..
..
..
..
..
..
m
n
o
p
q
r
s
t
u
v
w
displaced in South Ossetia. Also includes people
with internally displaced person status who
have returned home or been relocated with their
children.
Excludes Abkhazia and South Ossetia, which
have declared independence from Georgia.
Excludes people in pretrial or administrative
detention.
Sentenced prisoners only.
Includes Palestinian refugees under the
responsibility of United Nations Relief and Works
Agency for Palestine Refugees in the Near East.
Excludes the internationally unrecognized
Transnistria.
Includes people in government-recognized
camps and relocation sites and people displaced
by armed conflict, clan violence and crime in
2012 but excludes internally displaced persons
living with hosts and people whose return or
settlement elsewhere has not been sustainable.
Refugee figures for Iraqis in Jordan and Syrian
Arab Republic are government estimates.
UNHCR has registered and is assisting 90,500
Iraqis in both countries as of 31 December 2013.
Some 300,000 Vietnamese refugees are well
integrated and in practice receive protection
from the government of China.
Includes only people displaced in Khyber
Pakhtunkhwa province and federally
administered tribal areas who meet official
internally displaced person registration criteria.
Includes people displaced by the 2007 post-
election violence and people still displaced by
earlier episodes of violence.
Includes thousands of people sentenced or
awaiting trial in connection with the 1994 genocide.
x
Ministry of the Interior prisons only.
y
May include citizens of South Sudan.
z
Excludes people displaced during the 2002–2007
conflict.
aa
Prisons under government control only.
ab
Rough estimate, as access to affected
populations is limited.
ac
Differs from standard definition or refers to only
part of the country.
ad
An unknown number of refugees and asylum-
seekers from South Sudan may be included in
data for Sudan.
DEFINITIONS
Refugees by country of origin:
Number of people
who have fled their country of origin because of a
well founded fear of persecution due to their race,
religion, nationality, political opinion or membership
in a particular social group and who cannot or do not
want to return to their country of origin.
Internally displaced persons:
Number of people
who have been forced to leave their homes or places
of habitual residence—in particular, as a result of or
to avoid the effects of armed conflict, situations of
generalized violence, violations of human rights or
natural or human-made disasters—and who have not
crossed an internationally recognized state border.
Homeless people:
People who lack a shelter for
living quarters as a result of natural disasters, who
carry their few possessions with them and who
sleep in the streets, in doorways or on piers, or in
any other space, on a more or less random basis,
expressed as a percentage of the total population.
Orphaned children:
Number of children (ages 0–17)
who have lost one or both parents due to any cause.
Prison population:
Number of adult and juvenile
prisoners (including pre-trial detainees, unless
otherwise noted), expressed per 100,000 people.
Long-term unemployment rate:
Percentage of
the labour force (the employed and unemployed
population) ages 15 and older who are not working
but are available for work and have taken specific
steps to seek paid employment or self-employment
for at least 12 months.
Depth of food deficit:
Number of kilocalories
needed to lift the undernourished from their status,
holding all other factors constant.
Homicide rate:
Number of unlawful deaths
purposefully inflicted on a person by another person,
expressed per 100,000 people.
Justification of wife beating:
Percentage of
women and men ages 15–49 who consider a
husband to be justified in hitting or beating his wife
for at least one of the following reasons: if his wife
burns the food, argues with him, goes out without
telling him, neglects the children or refuses sexual
relations.
MAIN DATA SOURCES
Column 1:
UNHCR 2013.
Column 2:
IDMC 2013.
Column 3:
United Nations Statistics Division 2013.
Columns 4, 9 and 10:
UNICEF 2014.
Column 5:
International Centre for Prison Studies 2013.
Column 6:
ILO 2013a.
Column 7:
FAO 2013a.
Column 8:
UNODC 2013.
TABLE
12
TABLE 12
Personal insecurity | 207
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0220.png
TABLE
13
International integration
Trade
Foreign
direct
International investment,
net inflows
trade
Remoteness
(kilometres)
(% of GDP)
2012
b
(% of GDP)
2012
b
Financial flows
Private
capital
flows
(% of GDP)
2012
b
Human mobility
Net
migration
rate
(per 1,000
people)
2010/2015
d
Communication
International
telephone traffic
(minutes per person)
Incoming
2006–2011
e
Net official
development
Total
assistance Remittances,
reserves
a
received
minus gold
inflows
(% of GNI)
2011
(% of GDP)
2011
c
Stock of
immigrants
(% of
population)
2013
International
inbound
tourists
(thousands)
2011
Internet
users
(% of
population)
2012
(% of GDP)
2012
b
Outgoing
2006–2011
e
HDI rank
2012
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
58 Bulgaria
5,709
13,506
5,878
5,741
8,678
5,972
14,121
7,000
10,132
5,696
5,796
5,735
5,866
5,930
8,740
8,000
8,956
..
6,783
5,990
5,860
5,746
5,740
5,763
5,889
6,224
6,320
5,776
6,347
10,034
7,409
6,581
5,743
7,423
5,785
5,814
..
5,843
6,380
7,526
12,324
6,380
5,885
7,323
8,274
7,114
5,911
5,749
12,258
12,159
8,002
..
5,823
6,077
6,566
7,626
6,080
6,106
68.2
42.6
91.6
165.9
31.7
97.6
59.0
62.1
379.1
104.6
192.4
91.3
112.1
65.7
447.2
109.9
31.2
..
72.2
57.1
110.5
168.4
311.4
80.1
147.3
59.3
63.4
150.7
59.0
112.5
96.5
86.7
184.4
86.4
167.9
92.0
..
186.3
185.5
169.6
68.1
78.1
181.8
123.7
38.6
95.7
86.6
125.7
37.1
65.2
101.0
106.4
158.7
85.1
94.8
94.5
51.6
137.0
1.5
4.8
1.5
–1.1
1.3
0.8
2.7
2.5
20.6
0.4
15.7
0.7
3.8
2.3
38.7
0.4
0.0
..
4.3
2.5
0.5
–0.4
31.0
0.7
0.0
0.4
2.7
5.4
1.2
7.4
–0.1
4.3
7.4
1.7
1.6
0.6
..
3.8
4.7
2.2
11.3
6.5
6.8
2.7
0.0
0.2
2.3
3.2
2.7
4.7
7.6
12.4
2.3
1.4
2.2
1.1
2.6
4.0
12.8
–3.6
4.0
9.4
–2.3
4.3
–4.5
–1.9
5.7
6.4
–1.2
0.5
41.9
14.3
4.2
0.8
2.7
..
1.3
–1.6
1.2
–9.2
–449.3
–2.2
0.0
–0.8
1.7
–5.8
50.3
–4.3
14.6
–32.2
–2.0
–0.6
–3.9
–4.8
..
–14.8
22.9
..
–2.2
9.4
–4.0
–18.8
..
9.6
–6.7
–7.5
–2.4
–8.9
–4.0
–13.0
–1.8
–4.0
5.0
0.8
–1.0
–0.8
–1.0
–0.4
–0.5
–0.8
–0.2
–0.4
–0.3
–0.3
..
–0.9
–0.5
–1.0
–0.2
–0.6
..
..
–0.2
..
–0.1
–0.5
–0.3
–0.5
–1.0
–0.5
–0.1
–0.2
–0.3
–0.1
–0.1
1.0
..
..
–0.1
..
..
–0.1
..
–0.1
..
..
0.0
–0.3
–0.1
0.1
..
..
..
..
0.0
0.0
0.3
1.6
0.5
..
..
..
..
0.8
0.16
0.14
0.50
0.21
0.04
0.37
0.55
..
..
0.38
0.34
0.14
0.15
0.07
0.14
0.76
0.04
..
0.23
0.69
0.64
2.12
2.94
0.29
0.86
0.32
0.67
0.84
0.41
..
0.33
0.51
1.84
0.04
4.56
1.48
..
1.83
0.40
..
0.00
1.59
1.76
..
..
..
2.23
2.45
0.15
0.22
..
7.62
1.27
2.13
..
0.06
0.26
2.77
3.4
0.7
..
1.6
..
10.3
0.4
0.6
0.1
3.5
..
..
13.4
..
..
..
1.4
6.4
1.6
8.2
3.1
2.9
..
..
0.5
..
..
..
2.7
..
1.8
4.5
..
1.1
0.1
1.5
..
3.0
5.7
0.8
3.4
2.2
1.1
5.2
..
1.5
0.3
..
2.1
0.5
1.9
..
..
0.8
3.5
..
9.0
1.8
6.0
6.5
8.0
0.6
3.1
1.3
3.3
6.3
15.0
2.7
2.2
4.2
3.3
2.9
4.2
1.2
0.6
..
–2.0
2.0
3.5
2.7
9.7
1.8
2.1
3.0
2.6
3.8
0.9
0.8
48.8
6.2
0.0
2.1
–1.9
–0.2
..
0.6
2.1
11.4
0.3
1.9
1.5
3.4
–2.5
18.3
–0.9
–1.0
–0.5
–1.8
5.2
–0.8
–0.2
–0.4
–7.7
59.2
1.5
–1.4
13.8
f
27.7
g
28.9
11.7
14.3
11.9
25.1
20.7
42.9
9.9
15.9
15.9
10.4
12.4
38.9
2.5
1.9
33.1
26.5
11.6
15.7
10.4
43.3
5.4
11.3
9.4
13.8
h
4.0
8.9
49.3
73.8
18.2
i
16.3
31.4
4.9
1.7
56.9
2.7
8.0
83.7
2.3
8.4
4.7
54.7
0.1
60.2
17.6
13.8
4.5
2.2
16.3
8.2
11.6
0.9
12.2
30.6
7.7
1.2
4,963
5,875
8,534
11,300
62,711
28,374
2,572
16,014
10,390
7,363
7,630
5,006
566
29,306
22,316
9,795
6,219
53
2,820
81,411
23,012
7,494
871
4,192
2,037
46,119
56,694
8,775
16,427
242
2,527
2,392
2,665
17,498
1,775
13,350
1,948
1,460
1,412
..
3,070
7,264
10,250
6,732
2,688
269
9,927
1,493
5,705
2,857
1,346
1,201
116
7,611
34
1,048
24,932
6,328
95.0
82.3
85.2
93.0
81.0
84.0
89.5
86.8
74.2
93.0
79.0
94.0
96.0
87.0
72.8
84.1
79.1
89.4
73.4
83.0
81.0
82.0
92.0
91.0
70.0
58.0
72.0
75.0
56.0
60.3
88.1
61.0
79.0
54.0
68.0
65.0
86.4
80.0
70.0
85.0
61.4
64.0
72.0
88.0
25.6
79.2
63.0
74.0
55.8
55.1
71.7
56.8
46.9
50.0
19.9
60.0
53.3
55.1
..
..
..
..
81.2
..
..
..
483.4
176.7
..
..
209.5
..
492.3
22.4
14.1
..
..
172.9
..
..
809.9
..
85.6
..
..
125.5
88.1
..
427.4
248.8
127.0
106.6
81.4
..
641.0
100.2
..
313.3
22.7
..
115.9
285.7
32.2
..
98.7
..
..
76.2
..
..
88.2
115.5
..
247.9
..
107.3
251.0
..
422.2
99.9
199.8
180.5
174.0
..
1,582.4
205.0
430.5
173.7
131.3
143.2
1,700.7
51.2
27.3
..
..
190.7
211.3
257.5
821.8
..
101.4
162.2
118.1
46.5
168.1
..
..
460.5
85.0
632.4
37.3
34.6
711.5
73.3
141.5
654.5
11.5
115.6
50.2
1,585.8
2.9
..
53.1
..
18.4
47.9
..
..
64.7
40.3
..
215.8
59.3
51.1
208
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0221.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Trade
Foreign
direct
International investment,
net inflows
trade
Remoteness
(kilometres)
HDI rank
2012
(% of GDP)
2012
b
(% of GDP)
2012
b
Financial flows
Private
capital
flows
(% of GDP)
2012
b
Human mobility
Net
migration
rate
(per 1,000
people)
2010/2015
d
Communication
International
telephone traffic
(minutes per person)
Incoming
2006–2011
e
Net official
development
Total
assistance Remittances,
reserves
a
received
minus gold
inflows
(% of GNI)
2011
(% of GDP)
2011
c
Stock of
immigrants
(% of
population)
2013
International
inbound
tourists
(thousands)
2011
Internet
users
(% of
population)
2012
(% of GDP)
2012
b
Outgoing
2006–2011
e
59 Barbados
60 Palau
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
116 Uzbekistan
117 Philippines
8,615
10,216
8,344
9,949
10,613
8,835
6,677
9,308
8,975
9,325
6,306
6,933
9,118
9,484
8,346
9,181
6,873
6,592
6,784
5,987
11,491
6,448
8,726
10,907
5,943
8,870
6,113
6,005
6,506
12,589
9,132
6,323
8,513
8,632
6,359
8,475
6,128
8,541
8,566
9,603
10,014
9,093
12,825
8,371
9,236
7,108
6,842
12,241
..
10,862
10,458
6,859
11,491
8,696
11,042
6,007
9,153
6,879
9,442
99.7
153.2
105.0
163.0
119.9
91.9
72.9
147.5
50.4
79.4
58.0
78.5
66.9
144.7
72.6
60.7
..
74.3
119.1
92.4
26.5
96.2
73.8
49.9
110.3
130.8
129.3
110.8
72.3
105.6
148.8
106.6
58.7
82.9
52.4
89.6
89.8
84.7
114.1
38.7
64.4
..
78.5
58.9
214.4
127.8
123.2
90.5
..
50.1
95.1
44.8
93.5
..
85.1
128.1
74.9
64.4
64.8
9.1
0.9
5.1
4.2
2.4
2.4
8.7
9.3
0.6
5.3
1.6
7.1
1.1
13.1
15.2
1.6
0.8
7.7
5.1
6.2
3.4
5.0
5.3
4.7
4.4
6.6
3.4
3.7
4.9
5.4
2.4
0.9
3.0
15.9
1.4
7.2
9.6
1.2
6.7
4.3
0.8
3.4
2.4
4.1
13.1
53.8
11.4
2.3
..
2.3
2.0
–0.2
1.6
3.9
3.6
2.3
1.1
3.1
1.1
–10.4
..
–6.6
–3.9
–96.7
..
–2.8
–8.0
–1.2
–8.8
–6.2
2.6
–5.2
–11.2
–12.2
–3.3
..
–1.6
–5.7
–6.6
–3.4
–9.2
–3.0
–4.3
–6.4
–5.6
–2.5
–3.3
–4.8
–6.0
0.2
–3.4
–2.9
–18.0
–1.0
–4.9
–6.9
–2.7
–11.6
–5.8
–0.9
–1.3
..
–5.6
–12.8
–65.6
..
–3.8
..
–2.7
–1.5
–0.2
–3.4
..
–2.6
–2.1
–5.9
..
–1.8
0.1
20.7
1.4
0.0
1.7
..
1.1
0.4
0.0
0.1
0.1
0.1
0.1
2.1
2.5
1.0
..
0.5
3.3
1.3
0.2
3.9
1.6
0.4
0.5
0.4
1.6
0.1
3.5
2.0
0.0
1.5
0.0
2.8
0.1
5.2
2.4
0.4
3.0
0.4
0.3
2.3
21.1
0.4
2.7
4.3
0.1
16.6
..
0.1
0.2
0.2
0.4
0.5
0.5
6.0
1.3
0.5
–0.1
2.22
..
1.82
0.42
0.00
0.39
18.26
1.24
0.04
1.27
0.14
0.10
2.04
2.41
6.35
8.71
0.26
2.87
11.97
7.56
0.11
10.65
3.71
1.53
4.79
5.23
4.17
10.73
19.66
4.14
1.32
4.32
0.55
4.27
0.10
4.87
8.96
14.60
2.43
1.25
3.49
0.09
16.68
6.56
0.14
3.19
..
21.94
..
0.82
0.41
6.07
3.43
..
4.36
22.81
15.84
..
10.25
2.4
3.6
4.3
..
14.5
..
..
..
1.5
2.3
5.6
1.2
..
..
..
0.3
0.3
..
2.2
..
1.0
0.4
1.9
..
1.9
3.7
..
..
0.0
..
8.2
1.2
0.2
3.4
0.7
4.3
..
2.4
..
2.1
..
..
0.2
0.8
0.8
..
..
0.4
1.0
3.6
26.3
1.0
0.4
1.0
0.7
..
4.2
0.3
1.4
1.4
..
–0.1
3.1
0.0
–2.2
21.3
1.5
0.3
2.7
0.9
0.0
–2.0
–3.4
..
–3.0
–0.8
0.0
11.3
–2.1
–0.2
–5.8
–8.1
–2.0
–0.2
4.6
–0.5
–0.3
–3.4
–6.6
0.3
–0.6
–0.2
–9.1
–0.3
..
–3.2
–5.8
0.0
–0.5
–0.4
–1.9
–15.4
–2.7
0.0
–1.1
–1.0
–13.4
–2.0
–0.6
2.0
–0.5
–1.2
0.6
–2.4
–5.9
–7.1
–1.4
–1.4
11.3
26.7
31.9
8.3
j
3.6
k
2.4
17.6
4.1
3.9
8.6
2.5
21.1
0.9
13.0
10.5
1.5
3.4
3.4
l
40.2
5.6
m
0.3
4.4
n
10.7
0.3
11.4
15.3
6.6
0.6
10.6
2.6
5.6
0.3
0.1
9.4
0.7
8.9
3.1
1.3
6.7
0.3
2.3
7.7
5.2
3.9
24.4
0.6
4.3
3.0
5.9
o
0.1
7.2
0.4
2.7
23.6
1.4
11.2
p
0.7
4.4
0.2
568
109
241
24,714
965
386
1,655
1,473
595
2,192
34,038
3,393
23,403
194
92
856
3,354
1,562
3,975
764
5,433
2,822
118
2,598
21,415
250
327
392
758
675
19,230
4,785
57,581
74
2,395
76
2,932
1,952
312
2,385
1,141
220
46
4,306
931
457
8
121
449
7,650
2,145
9,497
524
..
807
11
1,184
975
3,917
73.3
..
83.8
65.8
41.4
59.5
61.2
45.2
44.0
47.5
45.1
53.3
38.4
47.1
79.3
18.3
26.0
54.2
41.0
48.1
49.8
45.5
42.1
38.2
33.7
25.0
63.1
65.4
39.2
33.7
26.5
41.4
42.3
47.5
15.2
55.2
54.7
46.5
48.6
49.0
35.1
34.7
34.9
45.0
38.9
16.4
7.2
12.9
..
15.4
11.5
44.1
27.1
8.6
34.2
43.4
25.5
36.5
36.2
..
157.6
367.6
..
150.0
192.2
314.6
54.7
34.2
85.5
58.3
45.1
..
63.2
821.4
28.5
..
78.7
108.0
99.4
1.0
62.4
487.2
92.1
..
130.0
230.2
200.1
176.2
..
14.3
57.2
9.1
439.1
57.9
134.1
252.0
259.7
284.5
..
60.6
..
..
123.9
..
38.6
..
..
..
..
..
69.8
76.5
11.0
83.7
224.1
258.4
..
..
..
180.0
180.0
..
102.4
205.9
86.3
102.5
21.8
43.0
16.1
41.5
..
93.4
630.3
..
..
19.9
143.4
40.5
2.1
34.9
315.3
19.7
..
147.6
22.2
43.8
253.3
..
11.1
15.9
2.8
146.4
25.5
164.3
24.0
882.7
200.8
..
11.6
..
..
21.0
327.6
19.1
..
..
..
..
31.3
6.9
14.3
17.7
6.8
62.7
234.8
..
..
TABLE
13
TABLE 13
International integration | 209
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0222.png
TABLE 13
INTERNATIONAL INTEGRATION
Trade
Foreign
direct
International investment,
net inflows
trade
Remoteness
(kilometres)
HDI rank
2012
(% of GDP)
2012
b
(% of GDP)
2012
b
Financial flows
Private
capital
flows
(% of GDP)
2012
b
Human mobility
Net
migration
rate
(per 1,000
people)
2010/2015
d
Communication
International
telephone traffic
(minutes per person)
Incoming
2006–2011
e
Net official
development
Total
assistance Remittances,
reserves
a
received
minus gold
inflows
(% of GNI)
2011
(% of GDP)
2011
c
Stock of
immigrants
(% of
population)
2013
International
inbound
tourists
(thousands)
2011
Internet
users
(% of
population)
2012
(% of GDP)
2012
b
Outgoing
2006–2011
e
TABLE
13
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
11,090
6,710
6,848
9,073
8,671
8,000
10,636
9,114
6,892
10,276
11,254
9,074
6,601
12,466
9,205
11,212
6,986
7,843
7,944
9,332
8,385
8,816
9,012
9,846
8,214
8,714
8,465
7,855
7,322
8,954
10,604
9,343
..
8,925
8,455
8,326
7,912
10,325
10,030
11,638
11,809
9,758
9,370
7,690
10,772
7,941
8,793
8,305
7,763
8,327
8,407
7,192
..
8,429
8,008
8,268
9,792
8,424
7,964
59.6
71.1
..
..
180.0
114.8
..
60.8
136.2
95.0
..
120.6
86.6
95.0
98.2
..
73.9
55.4
87.3
113.6
102.1
82.3
122.1
83.1
60.3
68.8
139.9
42.4
33.1
71.8
141.3
108.3
..
46.0
65.4
75.2
65.1
63.2
137.3
..
72.9
67.1
81.3
152.3
154.5
68.0
58.1
41.9
34.8
97.6
68.8
45.3
..
85.3
76.0
48.7
69.1
120.8
61.8
1.5
2.5
0.8
6.4
6.0
2.8
2.5
2.3
11.2
7.7
4.3
5.9
2.5
7.4
7.7
2.3
0.2
1.7
0.9
7.0
8.1
3.7
20.3
10.3
1.0
8.5
4.4
0.5
0.4
1.0
2.4
–2.9
..
1.7
1.4
3.6
–2.2
9.2
4.0
–2.5
12.2
1.1
4.6
1.1
5.2
2.0
8.7
1.6
4.8
1.5
2.5
0.5
..
1.4
4.0
2.0
1.6
84.9
1.7
–1.8
–2.2
1.3
–6.7
–6.5
–3.7
..
–3.7
–5.8
–4.4
216.3
–5.9
–2.6
–7.4
–8.3
..
–0.2
–1.1
..
–10.6
–8.7
–3.8
..
–8.2
–0.9
–7.0
..
..
–0.4
–0.8
–5.0
8.6
..
–2.3
–0.5
–7.9
1.9
..
..
0.8
–16.3
..
–6.0
..
–5.4
–2.7
–8.7
–1.1
–4.2
–0.8
..
0.0
..
–3.4
..
..
–1.5
..
0.6
0.3
..
1.7
6.2
3.0
0.1
41.2
0.9
9.2
2.4
..
3.8
1.3
12.4
7.6
27.1
5.5
0.2
0.2
0.1
4.8
5.2
2.4
6.1
0.9
30.2
0.2
4.7
1.6
7.4
3.2
0.2
..
20.2
0.3
0.8
1.5
4.2
7.4
4.9
49.6
8.5
10.4
9.2
9.0
7.4
9.6
0.1
1.9
15.5
23.2
35.0
..
6.2
15.6
11.8
14.5
53.6
12.3
0.29
2.74
0.21
14.48
6.95
9.28
..
9.45
27.57
0.12
11.99
15.87
7.31
2.77
9.48
..
46.91
3.41
0.57
1.25
0.38
1.34
..
0.24
10.78
2.77
..
22.22
5.82
2.72
1.38
0.00
..
1.62
0.45
8.45
4.43
..
..
0.09
0.19
..
0.32
..
25.72
10.23
5.64
2.53
2.22
9.13
21.12
..
..
1.55
10.09
1.62
0.31
23.29
4.44
1.6
..
1.2
1.3
0.4
4.0
1.5
3.3
..
..
4.3
..
0.0
1.5
2.4
..
0.0
3.5
4.8
..
..
2.1
0.0
2.5
1.6
..
1.8
3.7
..
2.5
4.7
..
0.2
..
0.1
..
5.4
0.1
..
..
..
4.5
0.4
3.0
..
8.5
0.7
3.2
4.7
5.3
2.0
1.3
..
0.0
..
0.8
3.0
..
0.9
–0.4
–13.7
2.7
–8.2
–0.4
–6.9
–15.7
–1.0
–6.3
–0.3
–13.3
–1.2
–2.7
0.0
–4.0
–2.0
–2.5
–0.4
2.7
–2.3
–0.8
–2.2
–2.1
–0.6
–2.6
–1.6
5.3
–2.9
–1.8
–0.2
–1.0
0.6
–0.4
–0.8
–0.5
–0.4
–1.1
0.0
5.7
0.0
–4.3
–2.8
–0.6
–1.0
–1.9
–1.4
–0.8
–0.2
–4.3
–0.3
–3.4
–2.6
–3.7
0.5
–1.5
–0.1
0.0
–0.9
–4.0
4.5
6.4
0.3
1.8
0.1
3.0
2.5
0.5
4.1
2.2
1.0
0.3
0.2
1.2
0.7
2.6
3.4
0.4
6.7
0.5
1.4
0.3
9.7
0.7
0.9
3.3
1.3
3.5
2.2
2.2
2.0
0.4
0.2
3.8
1.3
0.7
1.3
0.1
2.6
0.3
1.4
1.7
0.6
2.3
0.1
1.5
1.4
2.3
1.2
3.0
0.4
0.3
14.2
12.0
8.8
0.8
1.3
5.3
1.3
8,339
8,546
1,518
157
6,014
428
26
1,823
3,114
984
51
871
9,342
94
1,060
5
183
6,309
66
2,882
931
1,786
101
815
303
8
..
736
907
1,470
879
481
391
619
573
715
1,025
225
2,423
165
23
11
795
..
397
1,001
1,151
209
536
300
349
..
53
270
106
523
767
..
160
41.0
24.3
7.1
34.3
39.5
34.7
26.0
16.0
21.7
12.9
0.9
18.1
55.0
10.6
13.5
10.7
14.5
12.6
25.4
4.9
17.1
10.7
6.1
13.5
6.3
21.6
13.9
11.1
10.0
32.1
20.8
16.9
1.1
8.0
5.7
32.9
17.4
2.1
17.1
2.3
7.0
6.0
13.1
5.4
4.6
19.2
14.7
3.8
21.0
4.0
10.9
5.5
8.3
2.4
12.4
1.5
4.4
3.8
2.2
..
81.1
..
110.2
..
172.6
..
138.6
47.0
41.1
7.0
91.1
123.3
..
..
..
..
20.4
..
..
50.8
..
31.9
8.7
141.6
46.2
..
14.0
44.2
14.6
339.8
..
2.7
3.2
22.1
18.6
80.9
4.0
32.6
..
..
..
3.7
38.4
8.4
77.0
..
32.6
34.7
33.4
..
5.4
43.6
29.3
..
8.0
6.7
29.4
45.4
..
22.2
..
46.1
..
34.1
..
48.7
83.0
28.9
11.7
186.1
23.9
..
..
..
..
7.6
..
..
27.3
..
73.3
4.9
2.9
21.8
..
..
20.6
15.3
22.7
..
0.2
9.0
5.2
7.9
4.8
2.1
14.5
..
..
..
3.1
15.2
5.6
26.3
6.0
27.8
12.6
9.8
..
2.6
222.0
29.2
..
0.4
0.9
36.8
19.5
210
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0223.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Trade
Foreign
direct
International investment,
net inflows
trade
Remoteness
(kilometres)
HDI rank
2012
(% of GDP)
2012
b
(% of GDP)
2012
b
Financial flows
Private
capital
flows
(% of GDP)
2012
b
Human mobility
Net
migration
rate
(per 1,000
people)
2010/2015
d
Communication
International
telephone traffic
(minutes per person)
Incoming
2006–2011
e
Net official
development
Total
assistance Remittances,
reserves
a
received
minus gold
inflows
(% of GNI)
2011
(% of GDP)
2011
c
Stock of
immigrants
(% of
population)
2013
International
inbound
tourists
(thousands)
2011
Internet
users
(% of
population)
2012
(% of GDP)
2012
b
Outgoing
2006–2011
e
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
NOTES
a
A negative value refers to net official
development assistance disbursed by donor
countries.
b
Data refer to 2012 or the most recent year available.
c
Data refer to 2011 or the most recent year available.
d
Data are average of annual projected values for
2010–2015.
e
Data refer to the most recent year available
during the period specified.
f
Includes Svalbard and Jan Mayen Islands.
g
Includes Christmas Island, Cocos (Keeling) Islands
and Norfolk Island.
h
Includes Canary Islands, Ceuta and Melilla.
i
Includes Northern Cyprus.
j
Includes Sabah and Sarawak.
k
Includes Agalega, Rodrigues and Saint Brandon
l
Includes Nagorno-Karabakh.
m
Includes Kosovo.
n
Excludes Abkhazia and South Ossetia.
o
Includes East Jerusalem. Refugees are not part
of the foreign-born migrant stock in the State of
Palestine.
p
Includes Transnistria.
8,103
10,596
8,264
9,017
7,930
7,842
8,304
7,888
8,423
9,216
7,825
..
10,788
..
..
5,958
..
..
11,948
7,825
8,536
8,741
8,360
7,037
8,809
6,364
10,621
7,845
9,496
8,646
9,133
8,078
..
75.7
78.4
47.0
49.7
37.5
69.9
66.2
35.6
146.3
76.5
..
..
..
..
..
..
94.2
..
63.1
60.0
63.3
66.1
91.9
66.2
77.0
45.8
53.5
76.9
74.3
69.2
62.4
2.0
16.5
18.8
0.1
0.1
0.7
24.3
17.5
5.0
10.2
16.8
..
4.2
..
..
..
..
..
5.0
1.9
2.8
2.2
2.5
1.5
3.0
3.6
3.1
1.4
3.3
3.2
2.5
2.2
–2.6
–36.0
–22.9
..
1.8
..
–25.5
..
..
..
–18.9
..
..
..
..
..
..
..
..
0.4
–3.0
–1.9
..
1.0
..
–4.5
–3.8
–1.1
..
..
–9.6
–0.7
12.3
16.3
4.5
1.0
0.3
6.3
14.6
4.9
0.5
38.4
10.9
..
38.2
..
..
..
..
..
76.9
–0.3
0.1
0.5
5.1
..
0.1
0.5
0.3
0.6
3.8
6.9
3.3
0.1
4.74
1.25
1.27
1.93
1.06
..
2.00
..
..
0.73
1.69
..
..
..
..
..
..
..
..
0.26
0.82
3.67
5.03
..
0.93
2.06
1.11
3.57
2.73
4.67
5.79
0.71
1.5
..
..
7.0
3.3
0.1
0.8
0.7
4.7
0.9
2.8
0.1
1.3
..
..
0.5
..
2.3
6.7
..
..
2.7
2.4
1.3
0.9
..
1.5
2.7
2.2
2.4
..
2.9
–1.2
–0.2
–0.2
–0.4
–1.5
1.8
–0.7
–1.9
0.4
–0.2
–0.3
0.0
..
..
..
..
–2.9
15.7
..
2.5
–0.1
–0.9
–0.8
0.4
–0.3
–0.6
–1.0
–0.9
–0.1
–1.1
–2.8
0.0
1.1
0.8
3.2
2.5
4.1
0.2
1.6
3.4
2.9
0.7
0.7
0.2
3.2
64.2
20.6
15.4
0.2
5.6
1.5
12.5
1.8
0.7
1.6
8.3
0.4
6.7
1.3
0.9
1.8
1.2
1.9
3.2
30
1,718
30
142
238
107
52
71
54
186
82
..
5
295
..
156
..
..
1
581,506
282,225
84,432
19,970
71,884
125,944
74,011
70,256
13,462
30,695
18,701
16,456
968,591
2.9
4.8
1.5
1.2
3.7
0.8
1.3
2.1
3.0
1.7
1.4
..
10.0
87.0
..
50.9
1.4
..
35.0
77.1
42.5
17.6
12.3
34.2
36.7
41.1
43.4
12.3
15.2
6.8
25.1
35.5
..
5.8
..
..
..
47.5
..
..
..
4.1
..
..
..
..
..
..
..
..
..
..
21.2
..
..
92.0
..
79.3
39.9
34.1
..
..
..
..
..
13.9
..
..
..
1.7
..
..
7.3
5.6
..
174.8
13.1
..
10.3
106.3
..
34.1
25.4
..
9.7
..
..
42.4
DEFINITIONS
Remoteness:
GDP-weighted average distance from
world markets, calculated as the sum of all bilateral
distance between the capitals of one country and
all others, weighted by the partner country’s share
in world GDP.
International trade:
A basic indicator of openness
to foreign trade and economic integration. It
indicates the dependence of domestic producers on
foreign demand (exports) and of domestic consumers
and producers on foreign supply (imports), relative
to the country’s economic size (GDP). Trade is the
sum of exports and imports of goods and services
measured as a share of gross domestic product.
Foreign direct investment, net inflows:
Sum of
equity capital, reinvestment of earnings, other long-
term capital and short-term capital, expressed as a
percentage of GDP.
Private capital flows:
Net foreign direct
investment and portfolio investment, expressed as a
percentage of GDP.
Net official development assistance received:
Disbursements of loans made on concessional
terms (net of repayments of principal) and grants by
official agencies to promote economic development
and welfare in countries and territories on the
Development Assistance Committee list of aid
recipients, expressed as a percentage of the
recipient country’s GNI.
Remittances, inflows:
Earnings and material
resources transferred by international migrants or
refugees to recipients in their country of origin or
countries in which the migrant formerly resided.
Total reserves minus gold:
Sum of special
drawing rights, reserves of International Monetary
Fund (IMF) members held by the IMF and holdings
of foreign exchange under the control of monetary
authorities, excluding gold holdings, expressed as a
percentage of GDP.
Net migration rate:
Ratio of the difference
between the number of in-migrants and out-migrants
from a country to the average population, expressed
per 1,000 people.
Stock of immigrants:
Ratio of the stock of
immigrants into a country, expressed as a percentage
of the country’s population. The definition of immigrant
varies across countries but generally includes the stock
of foreign-born people or the stock of foreign people
(according to citizenship) or a combination of the two.
International inbound tourists:
Arrivals of
nonresident visitors (overnight visitors, tourists,
same-day visitors, excursionists) at national borders .
Internet users:
Percentage of people with access to
the worldwide network.
International telephone traffic, incoming:
Effective (completed) telephone calls (fixed and
mobile) originating outside a given country with a
destination inside the country, expressed in minutes
of traffic per person.
International telephone traffic, outgoing:
Effective
(completed) telephone calls (fixed and mobile) originating
inside a given country with a destination outside the
country, expressed in minutes of traffic per person.
MAIN DATA SOURCES
Column 1:
HDRO calculations based on data on GDP
from World Bank (2013a) and data on geo-distance
from CEPII (2013).
Column 2:
HDRO calculations based on data from
World Bank (2013a).
Columns 3–7, 10 and 11:
World Bank 2013a.
Column 8:
UNDESA 2013a.
Column 9:
UNDESA 2013c.
Columns 12 and 13:
HDRO calculations based on
data on incoming and outgoing telephone traffic
from ITU (2013).
TABLE
13
TABLE 13
International integration | 211
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0224.png
TABLE
14
Environment
Natural resources
Primary energy
supply
Fossil Renewable
fuels
sources
Average
annual
(tonnes) growth (%)
2010
1970/2010
(% of
total land
(%
area)
change)
2011
Electrification
Carbon dioxide
Natural resource
rate
emissions per capita
depletion
Forest area
Fresh water
withdrawals
Effects of environmental threats
Impact of natural
disasters
Population
living on
degraded
Number Population
(per 100,000 children under age 5)
land
of deaths affected
Unsafe water,
unimproved
sanitation or
poor hygiene
2004
(per year
(per
per million million
people) people)
2005/2012 2005/2012
Deaths of children
under age 5 due to
(% of total)
HDI rank
2012
a
2012
a
(% of
population)
2010
(% of GNI)
2010–2012
b
(% of total
renewable Outdoor Indoor
water
air
air
resources) pollution pollution
b
(%)
2010
1990/2011 2007–2011
2008
2004
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
57.3
95.4
51.1
91.4
83.6
80.2
61.4
73.7
97.2
70.6
84.7
31.7
15.3
85.1
94.8
82.8
94.8
..
96.7
49.1
67.1
70.1
87.4
43.0
66.6
83.7
75.9
76.9
90.6
100.0
100.0
94.9
88.1
100.0
74.0
90.7
..
67.5
94.5
101.0
75.6
74.9
71.1
99.9
86.7
100.0
81.6
63.7
89.7
57.0
..
60.2
90.4
77.7
98.7
100.0
91.0
47.8
4.6
49.7
6.7
16.3
20.4
38.4
27.9
2.8
26.8
6.4
70.5
84.7
14.4
0.4
17.2
5.2
..
4.8
52.4
32.2
28.3
4.0
47.5
34.5
13.9
24.9
26.5
8.8
0.0
0.0
5.1
14.6
0.0
14.5
9.6
..
32.3
5.5
0.1
24.2
22.0
26.0
0.0
13.3
0.0
10.6
33.8
9.3
42.1
..
28.4
5.9
22.8
1.3
0.0
9.2
..
..
..
..
..
..
..
..
100.0
..
..
..
..
..
..
..
..
..
99.7
..
..
..
..
..
..
..
..
..
..
99.7
98.7
..
..
99.0
..
..
..
..
..
100.0
99.4
..
..
99.4
97.0
100.0
..
..
97.2
98.8
..
..
..
..
99.8
98.0
..
11.7
16.9
5.0
11.0
17.6
9.1
7.2
14.6
2.7
8.3
8.9
5.6
6.2
7.9
5.2
11.5
9.2
..
9.3
5.6
8.0
10.0
21.4
11.5
7.5
6.7
5.9
10.6
7.7
22.9
40.3
7.0
13.7
17.0
4.1
8.3
6.6
6.6
6.2
19.9
4.2
4.9
5.1
19.3
3.4
31.3
4.7
3.4
4.5
2.0
6.8
4.2
6.6
3.7
9.8
20.4
12.2
4.5
5.5
2.3
4.3
5.6
..
3.3
5.1
0.7
3.6
3.8
2.6
2.9
3.5
2.4
4.5
3.9
..
3.9
2.6
3.5
4.1
6.1
4.5
..
3.1
2.7
..
3.4
6.3
7.8
3.2
..
5.5
..
3.6
..
..
2.9
5.9
1.9
2.3
2.3
5.8
1.3
7.1
..
..
2.0
0.0
3.1
..
..
1.5
4.0
6.0
..
10.5
6.9
0.0
0.8
1.2
0.2
1.1
3.0
0.0
1.9
0.1
0.4
0.0
1.3
0.0
0.0
0.0
..
0.3
0.0
0.2
0.0
0.1
0.1
0.3
0.1
0.0
0.6
0.4
29.9
..
0.0
1.7
36.0
0.8
1.6
..
0.4
..
..
12.4
0.1
0.5
18.1
3.3
29.3
1.0
0.5
4.9
0.5
0.0
..
1.4
1.8
29.0
31.1
14.3
33.3
19.3
31.1
10.8
33.3
31.8
31.4
34.1
3.3
12.9
10.9
68.7
0.3
11.9
..
64.0
68.6
43.1
7.1
29.2
47.2
22.4
33.5
72.9
62.3
31.4
36.8
34.4
30.5
71.8
..
18.8
52.1
0.5
34.6
30.8
34.0
40.2
0.9
3.8
21.9
37.8
22.5
0.7
27.3
0.4
34.4
54.1
10.7
10.2
51.4
40.4
42.7
28.7
0.1
0.0
49.4
11.1
0.8
–4.0
4.6
8.1
4.9
5.9
11.7
2.9
15.6
3.3
21.0
7.0
1.5
0.0
1.5
–4.3
31.7
22.6
10.8
60.8
1.5
3.4
1.5
254.0
0.1
10.6
8.8
..
..
–0.8
36.5
0.2
20.9
6.2
..
16.5
79.7
10.1
15.0
3.1
4.7
..
34.0
..
1.9
1.5
1.5
5.6
3.0
21.6
23.7
33.0
29.0
1.2
12.9
19.2
12.7
–8.4
1.1
..
381.0
7.5
19.3
5.7
14.0
0.0
936.2
11.5
9.6
5.5
19.4
0.0
..
0.6
1.4
0.0
71.3
29.9 1,867.0
6.6
2.9
4.0
12.3
12.3
5.4
145.1
205.8
42.4
11.6
82.6 2,075.0
3.9
0.6
6.0
1.2
–16.2
4.0
94.4
0.0
0.0
11.4
3.4
0.0
0.0
0.1
2.6
..
..
7.5
3.2
615.4
86.6
1.5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
..
0
0
..
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
2
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
..
0
1
3
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
..
0
0
..
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
..
0
6
2
0
0
0
0
0
0
0
0
..
0
0
1
..
0
0
..
..
..
0
..
..
..
0
0
2
0
..
..
0
1
..
..
6
13
0
..
..
..
0
0
..
10
1
..
0
..
1
..
0
0
3
3
2
..
1
..
..
..
5
0.2
9.0
0.5
5.4
1.1
8.1
5.3
2.7
..
8.5
0.5
0.3
..
2.7
..
2.9
0.3
..
12.9
3.9
2.7
10.5
..
0.0
8.4
2.2
1.4
4.2
1.1
..
0.1
11.4
5.0
4.3
4.8
13.2
..
9.1
..
1.9
1.1
2.3
17.1
..
17.0
0.6
17.5
1.8
1.7
5.7
..
8.0
4.7
13.5
8.5
5.8
3.1
0
3
0
7
2
0
5
0
..
0
0
0
0
0
0
1
18
..
1
3
0
10
0
0
0
1
0
1
1
..
..
0
0
1
1
3
..
3
..
..
4
1
7
..
0
..
1
3
0
1
1
0
0
3
..
3
44
41
1,503
92
0
5,691
3
20,003
407
..
0
45
0
0
1,049
558
289
795
..
2,675
881
28
13
0
75
2,133
184
64
241
218
..
..
0
37
63
0
310
..
38
..
..
25,719
21
522
..
61,215
..
130
0
1,837
10,565
12,130
4,999
349
778
..
2,528
176
212
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0225.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Natural resources
Primary energy
supply
Fossil Renewable
fuels
sources
Average
annual
(tonnes) growth (%)
2010
1970/2010
(% of
total land
(%
area)
change)
2011
Electrification
Carbon dioxide
Natural resource
rate
emissions per capita
depletion
Forest area
Fresh water
withdrawals
Effects of environmental threats
Impact of natural
disasters
Population
living on
degraded
Number Population
(per 100,000 children under age 5)
land
of deaths affected
Unsafe water,
unimproved
sanitation or
poor hygiene
2004
(per year
(per
per million million
people) people)
2005/2012 2005/2012
Deaths of children
under age 5 due to
(% of total)
HDI rank
2012
a
2012
a
(% of
population)
2010
(% of GNI)
2010–2012
b
(% of total
renewable Outdoor Indoor
water
air
air
resources) pollution pollution
b
(%)
2010
1990/2011 2007–2011
2008
2004
58 Bulgaria
59 Barbados
60 Palau
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
75.0
..
..
..
94.5
..
99.9
95.5
79.7
88.9
48.3
89.5
98.9
90.1
..
..
48.7
99.5
97.9
96.0
89.1
54.6
72.8
..
76.0
79.6
..
82.1
93.9
71.5
..
80.4
85.3
88.3
..
99.9
..
60.5
82.1
..
75.6
86.3
..
..
89.3
..
95.4
100.9
..
..
66.4
65.4
96.5
33.8
38.9
72.7
94.9
47.9
29.4
..
..
..
5.5
..
0.1
3.3
20.2
11.2
51.8
10.3
1.0
9.9
..
..
51.3
0.7
2.6
2.0
11.1
44.2
28.3
..
24.0
20.7
..
10.4
7.9
32.7
..
18.9
14.8
11.7
..
0.1
..
26.6
17.9
..
24.8
12.9
..
..
10.7
..
4.1
0.0
..
..
33.6
22.3
3.7
147.8
61.1
27.3
3.4
51.9
..
..
..
..
99.4
99.4
99.0
99.9
88.1
99.5
99.2
..
..
..
..
..
76.6
98.4
..
99.4
..
98.7
..
..
85.5
..
..
..
..
..
..
87.7
99.5
99.7
..
99.3
..
..
92.0
..
97.4
92.2
..
..
96.9
..
86.2
..
..
..
73.0
45.4
99.6
97.4
60.0
80.2
..
91.6
5.9
5.4
10.6
5.9
7.7
3.2
38.2
4.7
2.6
6.9
1.7
4.1
15.2
3.8
7.8
4.8
0.6
7.7
5.1
3.4
6.3
2.2
1.4
2.5
2.0
6.6
1.4
5.2
8.1
1.4
1.5
4.4
2.5
6.2
1.9
3.3
1.9
1.4
2.6
2.3
1.6
2.2
4.5
1.5
2.1
3.3
4.2
10.5
0.9
0.6
1.8
2.7
2.6
0.8
1.7
1.5
1.4
1.0
2.8
2.5
4.2
2.7
3.4
1.2
7.7
2.2
0.7
3.2
–0.5
1.8
..
1.6
3.5
2.2
–2.9
3.4
..
1.4
..
0.2
..
0.5
0.0
..
–0.9
..
..
..
–0.7
2.0
0.5
2.9
–0.1
1.3
–0.1
–1.0
0.7
0.3
–0.5
0.2
2.1
–0.7
0.1
..
1.9
..
–2.1
..
–0.3
..
0.7
–2.3
–0.5
–0.7
..
–1.7
2.4
..
..
..
6.2
0.0
30.9
0.0
0.5
20.8
0.1
0.5
28.0
7.0
0.0
..
0.3
19.6
33.9
1.7
..
3.6
0.5
..
9.9
3.9
0.0
4.0
..
1.7
0.5
3.5
5.2
6.1
0.0
18.4
0.0
3.7
1.1
..
10.4
16.4
8.5
0.0
0.4
0.0
32.2
..
0.3
..
7.2
3.1
9.1
0.0
34.7
14.7
0.1
0.5
36.7
19.4
87.6
22.3
62.0
17.3
44.0
13.4
43.6
52.1
51.5
14.9
1.2
33.3
88.5
42.3
29.4
6.8
11.3
1.1
31.6
61.2
39.4
50.0
53.0
16.8
60.6
39.8
42.8
9.1
55.7
37.2
6.6
22.5
68.7
0.6
59.2
28.3
31.1
77.0
54.4
38.9
94.6
12.5
40.8
3.0
7.0
8.8
60.4
1.5
51.7
19.8
0.1
43.8
85.4
52.5
11.9
13.6
22.0
0.0
..
–4.9
–9.0
–9.7
–6.2
4.6
–14.6
–11.6
2.5
18.3
–3.5
–8.0
0.0
0.0
–21.5
0.0
0.7
–0.6
19.3
–10.0
–1.4
0.0
–3.3
4.9
–12.8
10.8
–1.1
–25.7
6.8
–2.9
59.0
33.4
5.8
–11.0
–11.2
–1.8
–2.3
7.3
–3.4
–22.0
–0.1
0.0
0.0
0.0
–13.7
0.0
31.5
1.0
–20.9
–18.1
60.5
–17.7
0.0
–9.4
22.5
–25.0
28.7
108.0
..
16.2
1.9
26.4
6.0
18.6
0.6
0.7
5.1
18.5
18.6
16.9
..
..
24.5
67.9
35.2
99.4
2.5
0.7
2.9
..
1.0
13.8
1.2
16.1
0.9
36.8
0.3
13.1
61.7
19.5
..
48.9
..
3.1
9.9
..
0.6
2.3
0.5
..
26.1
15.7
1.6
112.5
..
49.9
5.6
1.6
96.6
0.1
0.1
0.4
9.1
7.3
1
0
0
0
0
0
0
1
0
0
0
2
5
1
0
0
0
6
2
3
..
0
2
0
2
0
0
0
1
2
1
0
1
2
0
1
0
0
1
0
1
1
0
0
2
1
19
2
0
..
2
4
2
1
9
0
1
1
2
0
0
1
0
0
1
0
16
1
2
11
3
8
0
0
8
3
132
0
..
18
70
12
21
0
21
1
1
17
18
21
3
10
2
5
1
5
15
3
6
2
0
16
12
41
78
2
26
..
41
210
2
21
33
93
13
24
2
0
40
0
33
7
5
40
55
30
4
85
249
23
..
28
42
..
269
59
..
123
169
5
69
3
27
..
2
65
11
59
64
55
..
101
0
50
47
2
33
63
43
55
73
167
195
449
63
..
130
341
86
56
102
245
15
82
7.8
..
..
..
1.2
..
..
1.2
4.1
1.9
1.3
5.5
23.5
3.8
..
..
21.1
25.1
3.8
22.0
18.5
7.9
1.9
..
0.7
6.2
1.1
7.1
6.1
9.6
..
17.0
36.7
8.6
..
28.8
..
5.7
3.3
..
2.0
1.6
..
..
7.0
..
31.5
11.1
..
..
3.1
22.0
25.3
1.3
..
2.0
21.8
6.3
2
0
..
0
1
1
0
0
2
1
2
1
0
1
0
..
5
2
0
0
0
1
0
1
8
3
4
0
0
0
6
3
0
8
0
1
3
0
2
7
4
1
1
9
6
1
3
..
96
0
6
26
0
2
0
3
1
9
1,145
4,482
..
178,447
2,054
689
0
4
2,749
785
13,250
242
1,213
10,808
38,151
..
33,200
954
3,632
..
3,731
4,236
5,359
7,910
14,947
1,344
56,475
96,337
3,222
..
13,877
70,880
312
68,601
21,068
433
54,721
41,348
16,769
8,562
19,920
8,368
30,325
2,448
5,827
4,596
147,305
..
33,004
979
3,976
2,694
18
41,164
16,269
17,376
13,802
11,704
TABLE
14
TABLE 14
Environment | 213
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0226.png
TABLE 14
ENVIRONMENT
Natural resources
Primary energy
supply
Fossil Renewable
fuels
sources
Average
annual
(tonnes) growth (%)
2010
1970/2010
(% of
total land
(%
area)
change)
2011
Electrification
Carbon dioxide
Natural resource
rate
emissions per capita
depletion
Forest area
Fresh water
withdrawals
Effects of environmental threats
Impact of natural
disasters
Population
living on
degraded
Number Population
(per 100,000 children under age 5)
land
of deaths affected
Unsafe water,
unimproved
sanitation or
poor hygiene
2004
(per year
(per
per million million
people) people)
2005/2012 2005/2012
Deaths of children
under age 5 due to
(% of total)
HDI rank
2012
a
2012
a
(% of
population)
2010
(% of GNI)
2010–2012
b
(% of total
renewable Outdoor Indoor
water
air
air
resources) pollution pollution
b
(%)
2010
1990/2011 2007–2011
2008
2004
TABLE
14
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
98.2
59.7
87.2
98.7
97.5
..
71.0
..
..
33.5
68.4
66.0
..
51.6
93.6
..
49.8
..
42.9
72.3
..
26.2
37.4
..
48.9
8.8
71.5
..
..
12.5
60.9
19.7
..
39.3
21.3
..
26.8
17.4
98.5
..
28.3
..
..
..
10.7
..
..
53.2
..
41.7
29.5
15.2
22.0
..
..
21.5
..
5.7
1.8
40.3
12.9
1.4
1.0
..
28.2
..
..
66.2
39.4
21.0
..
48.8
4.1
..
50.3
..
57.5
27.6
..
71.1
63.1
..
51.0
91.8
28.5
..
..
86.9
39.1
80.3
..
60.7
78.7
..
73.2
82.6
1.5
..
70.3
..
..
..
89.3
..
..
46.4
..
56.2
70.5
82.4
78.0
..
..
79.0
..
94.3
..
83.3
75.8
92.7
98.0
..
97.6
..
..
80.0
..
43.7
38.0
79.9
98.9
..
72.1
..
..
75.0
..
31.1
60.5
63.0
37.1
18.5
46.5
..
..
76.3
67.4
18.1
..
40.2
48.8
..
48.7
50.3
39.6
17.4
36.9
..
..
..
14.8
..
17.0
53.5
8.5
27.9
35.9
27.9
20.0
30.0
..
58.9
..
23.0
3.7
0.9
9.2
2.9
3.7
2.2
1.7
0.7
1.0
0.8
1.2
1.5
0.2
1.1
1.6
0.5
0.8
0.6
0.4
1.7
0.7
0.3
0.4
0.3
0.5
0.2
0.4
0.6
6.7
0.1
0.9
0.3
0.9
1.6
0.2
0.1
0.4
0.5
1.0
0.1
0.7
0.5
0.4
0.2
0.2
0.6
0.0
0.5
0.1
0.5
0.3
0.2
0.2
0.3
0.6
0.3
0.3
0.1
..
–2.1
3.9
0.9
1.6
0.2
–0.4
–2.5
..
–2.3
..
..
..
–1.6
–0.6
–3.4
–2.3
–2.8
..
–0.5
–2.7
–4.7
–4.1
–4.7
–3.4
–5.8
..
–3.2
3.1
–6.4
–1.9
–4.6
–2.1
–0.6
–5.9
–8.6
–4.3
–3.4
–1.8
–7.3
–2.5
–3.6
–4.0
–5.5
–6.2
–2.9
..
–3.2
–7.0
–3.2
–4.5
–5.1
–5.4
–4.7
–2.8
–4.6
–4.8
–7.9
17.5
2.7
6.7
13.3
50.6
10.5
9.6
0.1
..
2.1
9.7
1.0
..
0.6
2.6
0.0
1.2
..
1.1
4.9
3.4
0.1
10.5
10.5
67.8
17.5
2.3
0.7
40.4
2.2
2.6
1.2
0.0
35.0
..
2.9
5.3
24.4
15.6
2.7
3.4
23.1
15.1
1.1
4.4
39.2
1.0
1.6
5.0
0.3
9.8
3.7
0.6
2.1
0.3
4.4
0.7
5.2
7.7
25.9
7.6
2.7
1.9
77.2
45.0
21.0
58.4
33.6
5.1
8.8
49.1
45.3
11.5
36.1
25.3
15.0
2.9
23.1
84.9
56.5
21.2
67.9
65.6
66.3
11.1
28.1
57.5
25.4
2.1
6.1
33.0
46.8
48.2
18.0
41.7
9.5
1.0
21.5
39.5
63.1
78.9
1.4
37.3
0.2
1.5
43.8
14.5
40.0
23.2
4.9
3.6
2.1
0.2
32.7
47.6
12.2
7.4
17.5
0.0
33.7
3.3
0.0
56.3
46.7
–0.4
–24.2
16.1
–17.6
–24.3
–37.7
1.8
0.0
–32.6
0.0
0.5
7.3
31.5
–23.0
–35.2
–9.5
–1.4
–6.6
–3.7
0.0
–13.2
–24.7
–34.9
–6.8
20.2
–4.3
–19.7
39.9
–19.0
–49.9
0.0
–8.7
–31.0
–9.3
–5.0
–78.3
–20.4
–42.9
10.5
–9.8
–39.0
–21.7
–27.9
–61.0
–13.6
0.0
0.0
1.8
9.0
–20.0
100.6
17.0
24.3
86.4
73.4
0.7
9.3
6.8
..
3.1
32.6
1.6
14.3
2.2
43.5
..
0.7
..
51.1
33.9
0.4
0.5
1.8
1.0
0.0
1.5
2.9
0.3
0.1
4.5
74.4
8.9
23.1
0.5
2.8
1.6
0.3
4.6
168.6
4.9
21.0
0.0
..
0.8
5.4
11.8
1.4
5.7
0.5
0.5
42.8
1.2
8.6
31.0
6.3
1.9
1.1
4.6
1
1
2
2
12
0
1
0
0
2
1
1
0
1
6
0
1
0
1
5
0
3
3
1
19
12
2
9
10
1
22
4
2
11
3
2
14
14
5
2
5
1
0
2
4
16
2
14
2
8
11
5
5
21
31
9
7
2
192
37
23
12
12
38
27
26
30
57
115
11
0
49
8
9
49
0
343
131
124
346
152
157
149
378
142
225
0
139
132
217
148
1,073
181
803
361
370
174
390
168
108
54
108
239
220
19
292
327
394
181
302
297
1,183
41
370
197
538
325
96
104
54
383
132
65
93
83
126
245
21
149
106
114
41
102
206
551
316
324
595
226
242
220
503
334
428
505
337
205
362
252
1,266
378
970
497
559
377
540
256
288
84
177
322
390
44
530
427
518
255
419
428
1,405
454
561
286
705
27.0
2.2
17.5
33.3
4.5
..
8.0
..
..
9.1
9.7
28.5
..
15.0
39.1
..
13.9
..
10.5
9.6
0.1
39.3
1.4
4.1
0.1
4.6
11.3
..
..
2.3
4.5
31.0
..
3.3
19.2
10.1
15.3
11.5
32.4
0.0
29.4
..
..
..
25.0
23.8
63.6
16.2
23.5
1.6
39.9
5.1
15.2
11.0
7.5
1.3
17.9
72.3
0
12
1
0
0
5
3
2
0
15
2
14
2
5
0
0
7
0
3
1
4
4
2
1
10
3
5
..
2
6
48
3
0
21
290
2
5
3
2
3
37
7
17
5
1
2
1
3
3
2
8
2
2,485
13
1
1
1
2
29
68,576
967
30,906
337
131,160
17,587
41,479
0
51,710
47,549
79,190
3,007
13,635
619
13,300
13,510
883
43,344
11,130
14,213
22,695
3,586
31,911
2,080
33,251
29,222
..
1,398
9,560
29,793
47,765
89,821
13,856
6,913
14,103
702
7,126
239
13,101
43,309
9,760
9,788
106,714
15,931
77,339
202,696
13,748
11,021
18,298
31,574
9,785
58,688
18,859
223,142
176
59,517
32,750
214
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0227.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Natural resources
Primary energy
supply
Fossil Renewable
fuels
sources
Average
annual
(tonnes) growth (%)
2010
1970/2010
(% of
total land
(%
area)
change)
2011
Electrification
Carbon dioxide
Natural resource
rate
emissions per capita
depletion
Forest area
Fresh water
withdrawals
Effects of environmental threats
Impact of natural
disasters
Population
living on
degraded
Number Population
(per 100,000 children under age 5)
land
of deaths affected
Unsafe water,
unimproved
sanitation or
poor hygiene
2004
(per year
(per
per million million
people) people)
2005/2012 2005/2012
Deaths of children
under age 5 due to
(% of total)
HDI rank
2012
a
2012
a
(% of
population)
2010
(% of GNI)
2010–2012
b
(% of total
renewable Outdoor Indoor
water
air
air
resources) pollution pollution
b
(%)
2010
1990/2011 2007–2011
2008
2004
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
..
..
..
..
9.5
..
..
..
21.7
..
..
..
4.2
..
88.4
..
..
..
..
..
..
..
82.0
87.2
74.9
..
96.8
..
89.4
74.2
76.3
..
..
..
81.4
..
..
..
..
93.3
..
..
..
78.3
..
..
..
95.8
..
11.6
..
..
..
..
..
..
..
17.9
12.8
25.3
..
3.2
..
10.5
25.8
23.7
..
..
..
18.6
8.7
..
..
..
15.0
..
..
14.6
32.0
..
..
..
15.2
..
26.0
..
..
..
..
..
..
..
..
..
..
..
87.8
..
..
..
72.0
..
..
..
..
0.1
0.2
0.0
0.2
0.1
0.1
0.0
0.1
0.1
0.1
0.0
0.1
0.0
0.1
2.9
2.0
..
..
..
0.1
..
..
11.2
5.8
1.8
0.4
4.6
4.9
5.4
2.9
1.7
0.9
0.3
2.7
4.6
–7.7
–5.6
–9.1
–6.3
–6.8
–6.9
–9.7
–7.0
..
–6.8
–9.3
–8.4
–8.9
–7.5
..
..
..
..
..
–8.3
..
..
..
..
..
..
..
..
..
..
..
..
..
..
..
1.7
4.7
9.8
0.5
2.8
14.2
9.6
7.8
0.0
1.8
25.4
0.1
18.0
1.8
..
..
..
..
..
..
..
..
2.4
7.8
7.7
12.1
24.7
..
7.2
6.9
6.1
14.8
8.7
4.9
5.3
34.0
44.6
10.2
71.6
49.4
26.5
6.6
20.4
15.1
37.8
9.1
36.2
67.9
0.9
46.0
70.2
..
..
..
10.6
..
33.3
27.6
36.6
27.6
26.3
5.9
29.7
9.1
46.7
14.6
28.3
28.9
63.0
31.0
–17.8
–12.8
–11.8
–9.2
–10.5
–10.4
–41.1
–18.4
–5.8
–13.2
–12.7
–2.7
–4.1
–38.7
–32.5
..
..
..
..
–19.5
..
0.0
1.7
–1.0
–8.7
–13.9
–22.5
2.6
7.7
–9.2
3.3
–10.8
–12.0
–3.6
–3.5
7.9
0.1
6.5
0.6
0.4
0.2
2.3
5.7
9.2
0.1
2.0
0.1
0.1
2.9
11.2
..
..
..
..
22.4
..
..
8.5
4.6
13.9
6.5
71.1
..
34.8
1.5
26.8
1.6
3.1
..
7.6
3
6
9
12
11
11
4
9
3
11
14
10
16
6
3
..
0
0
0
19
..
0
0
2
4
10
6
2
2
1
7
8
7
2
5
498
676
703
648
270
324
897
632
237
1,207
488
411
644
1,023
0
45
0
1
0
710
..
18
0
10
106
396
73
28
63
22
153
428
431
123
140
617
885
880
873
388
480
1,088
786
379
1,473
618
511
786
1,229
245
201
2
..
..
885
..
148
..
61
261
542
214
90
169
80
328
576
590
218
258
19.4
..
59.5
1.0
1.9
0.8
18.5
73.2
58.8
..
45.4
..
0.1
25.0
2.9
..
..
..
..
26.3
..
..
3.3
8.8
10.3
20.2
24.3
..
10.7
5.3
10.0
22.3
23.5
..
10.2
2
1
1
41
4
4
2
27
0
11
11
1
4
5
6
0
..
..
..
16
0
0
3
8
3
48
2
15
1
44
7
4
51
479
12
61,541
28,135
55,720
20,739
20,084
1,704
39,618
28,139
305,872
1,069
54,883
1,959
604
122,010
26,951
66,716
..
..
..
145,928
16,491
0
2,989
42,653
14,518
24,030
10,933
54,689
5,389
12,252
14,621
22,382
28,158
33,638
24,203
NOTES
a
Data refer to 2012 or the most recent year available.
b
Data refer to the most recent year available
during the period specified.
DEFINITIONS
Fossil fuels:
Percentage of total energy supply that
comes from natural resources formed from biomass in
the geological past (such as coal, oil and natural gas).
Renewable energy sources:
Percentage of
total energy supply that comes from constantly
replenished natural processes, including solar,
wind, biomass, geothermal, hydropower and ocean
resources, and some waste. Excludes nuclear energy.
Electrification rate:
Proportion of people with access
to electricity, expressed as a percentage of the total
population. It includes electricity sold commercially
(both on grid and off grid) and self-generated electricity
but excludes unauthorized connections.
Carbon dioxide emissions per capita:
Human-
originated carbon dioxide emissions stemming
from the burning of fossil fuels, gas flaring and the
production of cement, divided by midyear population.
Includes carbon dioxide emitted by forest biomass
through depletion of forest areas.
Natural resource depletion:
Monetary expression
of energy, mineral and forest depletion, expressed as
a percentage of total gross national income (GNI).
Forest area:
Land spanning more than 0.5 hectare
with trees taller than 5 metres and a canopy cover
of more than 10 percent or trees able to reach these
thresholds in situ. Excludes land predominantly
under agricultural or urban land use, tree stands in
agricultural production systems (for example, in fruit
plantations and agroforestry systems) and trees in
urban parks and gardens. Areas under reforestation
that have not yet reached but are expected to reach
a canopy cover of 10 percent and a tree height of
5 meters are included, as are temporarily unstocked
areas resulting from human intervention or natural
causes that are expected to regenerate.
Fresh water withdrawals:
Total fresh water
withdrawn, expressed as a percentage of total
renewable water resources.
Deaths due to outdoor air pollution:
Deaths of
children under age 5 due to respiratory infections and
diseases, lung cancer and selected cardiovascular
diseases attributable to outdoor air pollution.
Deaths due to indoor air pollution:
Deaths of
children of age under 5 due to acute respiratory
infections attributable to indoor smoke from solid fuels.
Deaths due to unsafe water, unimproved
sanitation or poor hygiene:
Deaths of children
under age 5 due to diarrhoea attributable to poor
water, sanitation or hygiene.
Population living on degraded land:
Percentage
of the population living on severely or very severely
degraded land. Land degradation estimates consider
biomass, soil health, water quantity and biodiversity.
Number of deaths due to natural disaster:
Number
of people confirmed as dead and missing and presumed
dead as a result of a natural disaster, expressed
per million people. Natural disasters are classified
as climatological, hydrological and meteorological
disasters and include drought, extreme temperature,
flood, mass movement, wet storm and wildfire.
Population affected by natural disasters:
People
requiring immediate assistance during a period of
emergency as a result of a natural disaster, including
displaced, evacuated, homeless and injured people,
expressed per million people.
MAIN DATA SOURCES
Columns 1 and 2:
HDRO calculations based on
data on total primary energy supply from World
Bank (2013a).
Columns 3–5 and 7:
World Bank 2013a.
Column 6:
HDRO calculations based on World Bank
(2013a).
Column 8:
HDRO calculations based on data on
forest and total land area from World Bank (2013a)
Column 9:
FAO 2013b.
Columns 10–12:
WHO 2013a.
Column 13:
FAO 2013a.
Columns 14 and 15:
CRED EM-DAT 2013 and
UNDESA 2013a.
TABLE
14
TABLE 14
Environment | 215
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0228.png
TABLE
15
Population trends
Population
Total
Under
age 5
Ages 65
and older
Average annual
growth rate
Urban
a
(% of
population)
2013
c
Median age
Dependency ratio
(per 100 people
ages 15–64)
Young age
(0–14)
2015
Old age (65
and older)
2015
Total fertility rate
(births
per woman)
2000/2005
2010/2015
c
Sex ratio
at birth
b
(male to
female
births)
2010/2015
c
(millions)
HDI rank
2013
c
2030
c
(millions)
2013
c
(millions)
2013
c
2000/2005
(%)
2010/2015
c
(years)
2015
c
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
58 Bulgaria
59 Barbados
5.0
d
23.3
e
8.1
16.8
320.1
82.7
4.5
35.2
5.4
5.6
4.6
9.6
0.3
63.1
7.2
49.3
127.1
0.0
7.7
64.3
8.5
11.1
0.5
5.4
f
2.1
61.0
46.9
g
10.7
11.1
0.4
2.2
1.1
h
1.3
28.8
3.0
38.2
0.1
5.5
0.4
9.3
17.6
10.6
10.0
1.3
11.3
3.4
4.3
2.1
41.4
3.4
0.4
0.6
9.4
21.7
6.2
3.6
142.8
7.2
0.3
5.8
d
28.3
e
9.5
17.3
362.6
79.6
5.2
40.6
6.6
6.0
5.3
10.7
0.4
68.6
7.9
52.2
120.6
0.0
9.6
69.3
9.0
11.7
0.6
5.6
f
2.1
61.2
48.2
g
11.1
11.0
0.5
2.8
1.3
h
1.2
35.6
2.8
37.4
0.1
5.4
0.4
12.3
19.8
10.4
9.5
1.6
10.8
4.8
4.0
1.9
46.9
3.6
0.4
0.6
8.5
20.2
7.5
4.9
133.6
6.2
0.3
0.3
d
1.6
e
0.4
0.9
20.8
3.5
0.3
2.0
0.3
0.3
0.4
0.6
0.0
4.0
0.3
2.4
5.4
..
0.8
3.9
0.4
0.7
0.0
0.3
f
0.1
2.9
2.5
g
0.6
0.6
0.0
0.1
0.1
h
0.1
2.9
0.2
2.1
..
0.3
0.0
0.7
1.2
0.5
0.5
0.1
0.5
0.3
0.2
0.1
3.4
0.2
0.0
0.0
0.5
1.1
0.6
0.4
8.3
0.3
0.0
0.8
d
3.3
e
1.4
2.9
44.7
17.5
0.6
5.3
0.6
1.0
0.6
1.8
0.0
11.0
1.0
6.0
31.9
..
0.8
11.5
1.6
2.0
0.1
1.0
f
0.4
12.9
8.3
g
1.8
2.2
0.0
0.0
0.1
h
0.2
0.8
0.5
5.5
..
0.7
0.1
0.0
1.8
2.0
1.7
0.0
1.5
0.1
0.8
0.4
4.5
0.5
0.0
0.1
1.3
3.3
0.3
0.1
18.6
1.4
0.0
0.6
d
1.3
e
0.7
0.6
0.9
0.1
1.4
1.0
2.7
0.3
1.8
0.4
1.1
0.5
0.2
0.5
0.2
1.0
1.9
0.7
0.5
0.5
1.0
0.3
f
0.1
0.6
1.5
g
0.0
0.1
2.1
6.5
1.8
h
–0.6
4.1
–1.2
–0.1
4.3
0.0
0.4
6.3
1.1
0.4
–0.3
5.5
0.3
3.7
–0.4
–1.3
0.9
0.0
2.0
0.2
–0.6
–0.2
1.6
2.8
–0.4
–0.8
0.5
1.0
d
1.3
e
1.0
0.3
0.8
–0.1
1.0
1.0
2.0
0.4
1.1
0.7
1.1
0.6
0.7
0.5
–0.1
0.7
1.3
0.5
0.4
0.4
1.3
0.3
f
0.2
0.2
0.4
g
0.4
0.0
1.4
5.9
1.1
h
–0.3
1.8
–0.5
0.0
0.8
0.1
0.3
2.5
0.9
0.0
–0.2
1.7
–0.1
3.6
–0.4
–0.6
0.9
0.3
1.4
0.0
–0.5
–0.3
0.9
7.9
–0.2
–0.8
0.5
79.9
d
89.5
e
73.8
84.0
82.9
74.2
86.3
80.9
100.0
87.2
62.8
85.5
93.9
79.9
100.0
83.8
92.5
14.3
92.0
86.9
68.1
97.5
85.9
83.9
f
49.8
68.7
77.7
g
73.4
61.9
76.7
99.1
70.9
h
69.6
82.7
67.3
60.7
86.2
54.6
95.2
84.9
89.6
62.1
70.4
88.8
75.1
98.3
58.4
67.7
92.8
92.7
84.6
63.7
75.9
52.8
78.1
73.9
74.2
74.3
45.4
39.2
d
37.4
e
42.3
42.4
37.7
46.3
37.3
40.5
38.7
41.5
35.9
41.2
35.9
40.5
43.2
40.5
46.5
..
30.1
41.0
43.3
41.9
39.1
42.6
f
43.0
45.0
42.2
g
40.9
43.5
31.1
31.7
35.9
h
41.3
28.4
39.7
39.4
..
38.9
41.4
31.4
33.7
43.0
41.0
30.2
41.3
29.7
43.1
41.7
31.6
34.8
32.5
37.6
39.5
40.0
27.2
27.1
38.5
43.4
37.4
28.6
d
29.1
e
21.9
25.8
29.4
19.7
30.8
24.4
20.8
27.0
32.9
27.6
31.2
27.4
16.0
19.5
21.2
..
45.8
28.6
21.6
26.7
25.4
26.1
f
21.4
21.8
23.4
g
23.0
22.6
34.6
15.9
23.5
h
24.7
41.2
22.4
21.7
..
21.4
20.8
19.4
29.9
21.8
21.9
28.3
22.1
33.6
22.0
23.5
36.7
33.4
29.4
26.9
22.4
21.8
44.7
29.2
23.4
21.2
26.7
25.2
d
22.7
e
27.1
27.8
22.2
32.7
22.5
23.7
15.2
29.1
19.2
31.8
20.3
28.1
20.5
17.9
43.6
..
17.8
29.6
27.9
29.0
21.2
32.3
f
26.4
33.8
27.6
g
26.3
31.1
6.9
1.1
18.1
h
28.2
4.4
22.8
22.0
..
19.1
26.0
0.6
15.3
29.3
26.1
3.0
19.9
3.3
28.6
28.2
17.3
22.3
11.7
20.2
19.7
22.3
7.6
4.0
18.8
30.1
16.2
1.8
e
1.8
e
1.4
1.7
2.0
1.4
1.9
1.5
1.3
1.8
2.0
1.7
2.0
1.7
1.0
1.2
1.3
..
2.9
1.9
1.4
1.7
1.7
1.8
f
1.2
1.3
1.3
g
1.2
1.3
2.3
3.0
1.6
h
1.4
3.5
1.3
1.3
..
1.2
1.4
2.4
2.0
1.5
1.3
2.7
1.6
2.6
1.4
1.3
2.4
2.2
1.9
1.8
1.2
1.3
2.9
3.2
1.3
1.2
1.8
1.9
d
1.9
e
1.5
1.8
2.0
1.4
2.1
1.7
1.3
1.9
2.0
1.9
2.1
1.9
1.1
1.3
1.4
..
2.9
2.0
1.5
1.9
1.7
1.9
f
1.5
1.5
1.5
g
1.6
1.5
2.0
2.1
1.5
h
1.6
2.7
1.5
1.4
..
1.4
1.4
1.8
1.8
1.3
1.4
2.1
1.5
2.6
1.5
1.6
2.2
2.1
1.9
1.7
1.5
1.4
2.4
2.9
1.5
1.5
1.9
1.06
d
1.06
e
1.05
1.06
1.05
1.06
1.06
1.06
1.07
1.06
1.07
1.06
1.05
1.05
1.07
1.07
1.06
..
1.05
1.05
1.06
1.05
1.05
1.04
f
1.05
1.06
1.06
g
1.06
1.07
1.06
1.05
1.07
h
1.06
1.03
1.05
1.06
..
1.05
1.06
1.05
1.04
1.06
1.06
1.04
1.06
1.04
1.06
1.05
1.04
1.05
1.06
1.07
1.06
1.06
1.06
1.05
1.06
1.06
1.04
216
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0229.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Population
Total
Under
age 5
Ages 65
and older
Average annual
growth rate
Urban
a
(% of
population)
2013
c
Median age
Dependency ratio
(per 100 people
ages 15–64)
Young age
(0–14)
2015
Old age (65
and older)
2015
Total fertility rate
(births
per woman)
2000/2005
2010/2015
c
Sex ratio
at birth
b
(male to
female
births)
2010/2015
c
(millions)
HDI rank
2013
c
2030
c
(millions)
2013
c
(millions)
2013
c
2000/2005
(%)
2010/2015
c
(years)
2015
c
60 Palau
0.0
61 Antigua and Barbuda
0.1
62 Malaysia
29.7
i
63 Mauritius
1.2
j
64 Trinidad and Tobago
1.3
65 Lebanon
4.8
65 Panama
3.9
67 Venezuela (Bolivarian Republic of)
30.4
68 Costa Rica
4.9
69 Turkey
74.9
70 Kazakhstan
16.4
71 Mexico
122.3
71 Seychelles
0.1
73 Saint Kitts and Nevis
0.1
73 Sri Lanka
21.3
75 Iran (Islamic Republic of)
77.4
76 Azerbaijan
9.4
k
77 Jordan
7.3
77 Serbia
9.5
l
79 Brazil
200.4
79 Georgia
4.3
m
79 Grenada
0.1
82 Peru
30.4
83 Ukraine
45.2
84 Belize
0.3
84 The former Yugoslav Republic of Macedonia
2.1
86 Bosnia and Herzegovina
3.8
87 Armenia
3.0
88 Fiji
0.9
89 Thailand
67.0
90 Tunisia
11.0
91 China
1,385.6
91 Saint Vincent and the Grenadines
0.1
93 Algeria
39.2
93 Dominica
0.1
95 Albania
3.2
96 Jamaica
2.8
97 Saint Lucia
0.2
98 Colombia
48.3
98 Ecuador
15.7
100 Suriname
0.5
100 Tonga
0.1
102 Dominican Republic
10.4
MEDIUM HUMAN DEVELOPMENT
103 Maldives
0.3
103 Mongolia
2.8
103 Turkmenistan
5.2
106 Samoa
0.2
107 Palestine, State of
4.3
n
108 Indonesia
249.9
109 Botswana
2.0
110 Egypt
82.1
111 Paraguay
6.8
112 Gabon
1.7
113 Bolivia (Plurinational State of)
10.7
114 Moldova (Republic of)
3.5
o
115 El Salvador
6.3
116 Uzbekistan
28.9
117 Philippines
98.4
118 South Africa
52.8
118 Syrian Arab Republic
21.9
0.0
0.1
36.8
i
1.3
j
1.3
5.2
4.9
37.2
5.8
86.8
18.6
143.7
0.1
0.1
23.3
91.3
10.5
k
9.4
8.6
l
222.7
4.0
m
0.1
36.5
39.8
0.5
2.1
3.7
3.0
0.9
67.6
12.6
1,453.3
0.1
48.6
0.1
3.3
2.9
0.2
57.2
19.6
0.6
0.1
12.2
0.4
3.4
6.2
0.2
6.4
n
293.5
2.3
102.6
8.7
2.4
13.7
3.1
o
6.9
34.1
127.8
58.1
29.9
..
0.0
2.5
i
0.1
j
0.1
0.3
0.4
3.0
0.4
6.4
1.7
11.3
0.0
..
1.9
7.1
0.8
k
1.0
0.5
l
14.6
0.3
m
0.0
2.9
2.5
0.0
0.1
0.2
0.2
0.1
3.6
0.9
90.2
0.0
4.6
..
0.2
0.2
0.0
4.5
1.6
0.0
0.0
1.1
0.0
0.3
0.5
0.0
0.6
n
24.0
0.2
9.3
0.8
0.2
1.3
0.2
o
0.6
3.0
11.3
5.4
2.6
..
0.0
1.6
i
0.1
j
0.1
0.4
0.3
1.9
0.3
5.5
1.1
7.8
0.0
..
1.8
4.1
0.5
k
0.3
1.4
l
15.1
0.6
m
0.0
1.9
6.8
0.0
0.3
0.6
0.3
0.0
6.5
0.8
123.0
0.0
1.8
..
0.3
0.2
0.0
3.0
1.0
0.0
0.0
0.7
0.0
0.1
0.2
0.0
0.1
n
13.1
0.1
4.7
0.4
0.1
0.5
0.4
o
0.5
1.2
3.8
2.9
0.9
0.8
1.2
2.0
i
0.5
j
0.5
4.2
1.9
1.8
1.9
1.4
0.7
1.3
1.8
1.5
1.1
1.2
1.1
k
1.9
–0.6
l
1.3
–1.2
m
0.3
1.3
–0.8
2.6
0.4
0.2
–0.4
0.3
1.0
1.0
0.6
0.2
1.4
0.2
–0.7
0.8
1.1
1.6
1.9
1.4
0.6
1.5
1.7
1.0
1.1
0.6
2.1
n
1.4
1.3
1.6
2.0
2.4
1.9
–1.7
o
0.4
1.0
2.0
1.5
2.1
0.8
1.0
1.6
i
0.4
j
0.3
3.0
1.6
1.5
1.4
1.2
1.0
1.2
0.6
1.1
0.8
1.3
1.1
k
3.5
–0.5
l
0.8
–0.4
m
0.4
1.3
–0.6
2.4
0.1
–0.1
0.2
0.7
0.3
1.1
0.6
0.0
1.8
0.4
0.3
0.5
0.8
1.3
1.6
0.9
0.4
1.2
1.9
1.5
1.3
0.8
2.5
n
1.2
0.9
1.6
1.7
2.4
1.6
–0.8
o
0.7
1.4
1.7
0.8
0.7
85.8
29.8
74.2
i
41.8
j
14.2
87.5
76.5
93.9
65.6
73.4
53.4
78.7
54.4
32.1
15.2
69.3
54.1
k
83.2
57.1
l
85.2
53.0
m
39.8
77.9
69.3
44.3
59.5
49.3
64.2
53.0
34.8
66.7
53.2
50.1
74.7
67.4
55.6
52.2
16.1
75.8
68.6
70.5
23.6
70.8
43.4
70.4
49.4
19.4
74.8
n
52.2
62.9
43.8
63.0
86.9
67.7
49.1
o
65.8
36.3
49.3
62.9
56.9
..
30.9
28.2
i
35.5
j
34.2
30.7
28.5
27.7
30.6
30.1
29.7
27.7
33.2
..
32.0
29.5
30.4
k
24.0
39.3
l
31.2
38.1
m
27.2
27.1
39.9
23.7
37.8
40.1
33.4
27.5
38.0
31.2
36.0
29.8
27.5
..
33.5
28.2
31.2
28.3
26.7
29.1
21.3
26.4
26.0
27.5
26.4
21.2
19.7
n
28.4
22.8
25.8
24.4
20.9
22.8
36.3
o
24.7
26.0
23.4
26.5
22.7
..
35.2
36.6
i
26.4
j
29.9
27.1
42.5
42.6
32.5
37.0
39.4
41.7
31.7
..
38.1
34.2
30.8
k
53.0
22.9
l
33.6
27.6
m
40.0
42.9
21.4
52.1
23.2
21.2
29.2
43.9
24.2
33.4
25.1
36.0
42.4
..
28.1
39.5
34.1
40.7
45.8
39.6
64.3
46.4
42.2
40.4
41.7
64.9
67.3
n
42.2
52.3
48.8
50.8
67.6
56.1
23.6
o
45.2
41.5
53.4
45.1
56.4
..
10.4
8.3
i
13.3
j
13.8
12.3
11.7
10.1
10.8
11.4
10.1
10.3
11.2
..
13.7
7.8
7.8
k
5.8
21.7
l
11.6
22.0
m
10.7
10.3
21.2
6.5
18.3
22.9
15.0
8.9
14.5
10.8
13.1
10.7
7.0
..
16.3
12.3
13.2
10.0
10.7
10.2
10.2
10.3
7.3
5.6
6.1
9.1
5.3
n
8.2
6.0
9.4
9.1
8.9
8.3
16.4
o
11.5
6.4
6.5
8.8
7.1
..
2.3
2.5
i
1.9
j
1.8
2.0
2.8
2.7
2.3
2.3
2.0
2.5
2.2
..
2.3
2.0
2.0
k
3.9
1.6
l
2.3
1.6
m
2.4
2.8
1.2
3.4
1.6
1.2
1.7
3.0
1.6
2.0
1.6
2.2
2.4
..
2.2
2.5
2.1
2.6
3.0
2.6
4.2
2.8
2.8
2.1
2.8
4.4
5.0
n
2.5
3.2
3.2
3.5
4.5
4.0
1.5
o
2.6
2.6
3.7
2.8
3.7
..
2.1
2.0
i
1.5
j
1.8
1.5
2.5
2.4
1.8
2.1
2.4
2.2
2.2
..
2.4
1.9
1.9
k
3.3
1.4
l
1.8
1.8
m
2.2
2.4
1.5
2.7
1.4
1.3
1.7
2.6
1.4
2.0
1.7
2.0
2.8
..
1.8
2.3
1.9
2.3
2.6
2.3
3.8
2.5
2.3
2.4
2.3
4.2
4.1
n
2.4
2.6
2.8
2.9
4.1
3.3
1.5
o
2.2
2.3
3.1
2.4
3.0
..
1.03
1.06
i
1.04
j
1.04
1.05
1.05
1.05
1.05
1.05
1.07
1.05
1.06
..
1.04
1.05
1.15
k
1.05
1.05
l
1.05
1.11
m
1.05
1.05
1.06
1.03
1.05
1.07
1.14
1.06
1.06
1.05
1.16
1.03
1.05
..
1.08
1.05
1.03
1.05
1.05
1.08
1.05
1.05
1.06
1.03
1.05
1.08
1.05
n
1.05
1.03
1.05
1.05
1.03
1.05
1.06
o
1.05
1.05
1.06
1.03
1.05
TABLE
15
TABLE 15
Population trends | 217
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0230.png
TABLE 15
POPULATION TRENDS
Population
Total
Under
age 5
Ages 65
and older
Average annual
growth rate
Urban
a
(% of
population)
2013
c
Median age
Dependency ratio
(per 100 people
ages 15–64)
Young age
(0–14)
2015
Old age (65
and older)
2015
Total fertility rate
(births
per woman)
2000/2005
2010/2015
c
Sex ratio
at birth
b
(male to
female
births)
2010/2015
c
(millions)
HDI rank
2013
c
2030
c
(millions)
2013
c
(millions)
2013
c
2000/2005
(%)
2010/2015
c
(years)
2015
c
TABLE
15
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
33.8
0.8
91.7
0.5
0.1
15.5
5.5
2.3
1.1
8.1
33.0
0.3
6.1
0.1
8.2
1,252.1
0.8
15.1
25.9
6.8
4.4
14.5
156.6
0.2
0.8
27.8
182.1
44.4
1.2
21.5
53.3
11.8
22.3
173.6
24.4
22.9
14.1
7.3
0.6
0.7
49.3
p
3.9
2.1
14.1
37.6
10.3
38.0
6.8
10.3
30.6
0.9
20.3
1.8
94.1
16.4
4.3
15.3
1.7
25.8
11.7
51.0
0.9
101.8
0.6
0.1
22.6
6.9
3.0
1.6
10.8
39.2
0.4
7.4
0.1
11.4
1,476.4
0.9
19.1
35.3
8.8
6.8
25.0
185.1
0.3
1.1
32.9
231.7
66.3
1.5
34.8
58.7
17.8
33.1
273.1
34.0
36.0
20.3
10.0
0.8
1.1
79.4
p
5.6
2.4
21.9
63.4
15.5
55.1
10.0
12.5
43.5
1.1
29.2
3.1
137.7
26.0
6.4
26.0
2.5
38.9
17.3
4.9
0.1
7.1
0.0
0.0
2.3
0.7
0.3
0.2
1.0
3.4
0.0
0.7
0.0
1.2
121.3
0.1
1.7
3.7
0.9
0.7
2.7
15.1
0.0
0.1
2.9
21.8
7.0
0.2
4.0
4.4
1.9
3.6
30.5
3.4
3.6
2.0
1.0
0.1
0.1
8.7
p
0.6
0.3
2.4
7.1
1.7
5.7
1.1
1.3
4.9
0.1
3.2
0.3
14.2
2.9
0.7
3.0
0.3
4.4
1.9
1.1
0.0
6.0
0.0
0.0
0.7
0.2
0.1
0.0
0.4
1.6
0.0
0.3
0.0
0.3
66.0
0.0
0.8
0.9
0.3
0.2
0.4
7.5
0.0
0.0
1.4
8.0
1.2
0.0
0.5
2.8
0.3
0.7
4.8
0.7
0.6
0.5
0.2
0.0
0.0
1.6
p
0.1
0.1
0.4
0.9
0.3
1.2
0.2
0.5
0.7
0.0
0.6
0.0
3.2
0.5
0.1
0.4
0.0
0.8
0.4
2.8
0.4
1.0
1.6
–0.2
2.5
0.4
1.3
3.1
2.0
1.0
2.5
1.3
1.8
1.9
1.6
2.8
1.8
2.5
1.4
2.5
2.5
1.6
2.1
3.1
1.7
1.9
2.7
0.8
3.4
0.7
2.3
2.6
2.6
2.8
3.0
0.3
2.5
2.6
2.6
2.6
p
3.0
0.7
2.7
3.4
3.3
2.6
2.6
1.5
3.8
1.4
1.5
3.1
2.9
2.6
2.5
3.0
2.2
2.8
1.8
2.9
0.5
1.0
0.8
0.2
2.5
1.4
1.9
1.7
2.0
1.4
2.2
1.4
1.5
2.4
1.2
1.6
1.7
2.1
1.9
2.6
3.2
1.2
2.6
2.8
1.2
1.7
2.7
1.5
3.1
0.8
2.7
2.5
2.8
2.3
2.8
2.8
2.1
2.1
2.4
3.0
p
2.5
1.1
2.9
3.3
2.7
2.1
2.6
1.4
2.4
1.5
2.3
3.2
2.6
2.8
2.6
3.0
2.4
2.5
2.5
66.4
28.5
32.3
64.1
22.8
50.7
35.5
39.5
29.1
53.3
57.8
25.5
58.1
44.1
26.6
32.0
37.1
20.3
53.2
36.5
64.5
40.0
29.4
64.1
39.8
17.7
36.8
24.8
21.2
60.7
33.8
19.7
53.2
50.9
33.5
33.8
39.6
12.6
21.4
28.2
27.6
p
42.0
29.0
43.1
16.4
46.2
33.5
39.0
56.1
24.1
77.2
52.8
58.4
17.5
16.0
48.9
36.2
45.3
31.7
36.4
20.0
23.0
30.7
25.2
21.5
19.7
25.1
21.8
16.9
22.5
27.5
22.1
23.8
24.1
22.0
26.9
26.7
25.0
20.9
22.0
18.7
16.7
25.8
19.4
20.9
23.1
23.2
19.0
20.5
16.4
29.8
18.4
18.5
17.7
19.7
18.7
20.1
21.2
19.9
19.1
17.6
p
20.0
21.2
18.2
15.9
18.6
19.4
19.0
22.7
17.0
23.4
19.1
17.0
18.6
17.3
18.6
16.2
19.3
17.3
18.8
68.1
55.7
31.7
42.4
55.3
71.3
47.6
57.0
86.5
56.1
41.7
60.3
50.4
47.8
59.4
42.9
39.9
49.0
65.0
55.6
78.5
90.6
43.8
74.8
65.6
53.4
52.3
75.4
63.1
92.9
34.4
74.1
78.4
83.9
67.5
75.2
66.9
62.2
69.4
75.1
85.9
p
69.4
59.2
80.5
96.6
76.7
72.1
74.6
55.8
85.4
53.9
73.4
87.9
75.2
86.3
77.4
95.5
73.3
87.4
75.9
5.5
5.7
9.6
7.9
7.1
8.4
6.3
5.9
6.6
7.5
7.6
6.7
7.6
6.7
5.2
8.3
7.3
8.9
5.9
6.2
6.3
5.0
7.3
5.8
4.8
8.6
7.0
5.0
6.1
4.8
7.7
4.5
5.9
5.1
5.1
5.1
6.7
5.0
5.9
5.1
6.2
p
5.6
6.9
5.4
4.9
5.3
5.9
4.9
7.5
4.7
6.6
5.7
4.5
6.3
6.3
5.5
5.4
5.3
6.4
5.6
4.8
2.7
1.9
3.3
4.1
4.6
2.5
3.8
7.0
3.7
2.5
4.1
3.0
3.6
3.7
3.0
3.1
3.5
4.6
3.7
5.1
6.0
2.9
4.6
5.6
3.7
4.0
5.0
4.0
6.8
2.2
5.6
5.5
6.1
5.9
5.3
4.0
4.4
4.6
5.3
5.7
p
5.2
3.8
5.4
6.7
5.8
5.3
5.1
4.0
7.4
4.2
5.2
5.9
6.1
6.1
5.7
6.8
5.7
5.7
5.8
4.1
2.6
1.8
2.3
3.3
3.8
3.1
3.1
5.9
3.0
2.8
3.4
2.5
3.0
3.9
2.5
2.3
2.9
3.9
3.1
5.0
5.7
2.2
4.1
4.9
2.3
3.2
4.4
3.4
5.9
2.0
4.6
4.8
6.0
4.2
4.5
3.5
3.8
4.1
4.7
5.2
p
4.7
3.1
5.0
5.9
4.9
4.5
4.7
3.2
5.0
3.4
4.9
5.8
4.6
5.4
4.8
6.9
5.0
5.2
5.0
1.07
1.05
1.10
1.03
1.07
1.05
1.06
1.03
1.05
1.05
1.06
1.07
1.05
1.07
1.05
1.11
1.04
1.05
1.05
1.05
1.03
1.02
1.05
1.03
1.03
1.07
1.09
1.03
1.03
1.03
1.03
1.02
1.03
1.06
1.05
1.03
1.02
1.08
1.07
1.05
1.03
p
1.05
1.03
1.04
1.03
1.04
1.04
1.02
1.05
1.06
1.04
1.03
1.03
1.04
1.03
1.05
1.05
1.03
1.03
1.02
218
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0231.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Population
Total
Under
age 5
Ages 65
and older
Average annual
growth rate
Urban
a
(% of
population)
2013
c
Median age
Dependency ratio
(per 100 people
ages 15–64)
Young age
(0–14)
2015
Old age (65
and older)
2015
Total fertility rate
(births
per woman)
2000/2005
2010/2015
c
Sex ratio
at birth
b
(male to
female
births)
2010/2015
c
(millions)
HDI rank
2013
c
2030
c
(millions)
2013
c
(millions)
2013
c
2000/2005
(%)
2010/2015
c
(years)
2015
c
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
NOTES
a
Because data are based on national definitions
of what constitutes a city or metropolitan area,
cross-country comparisons should be made with
caution.
b
The natural sex ratio at birth is commonly
assumed and empirically confirmed to be 1.05
male births to 1 female births.
c
Projections based on medium-fertility variant.
d
Includes Svalbard and Jan Mayen Islands.
e
Includes Christmas Island, Cocos (Keeling) Islands
and Norfolk Island.
f
Includes Åland Islands.
g
Includes Canary Islands, Ceuta and Melilla.
h
Includes Northern Cyprus.
i
Includes Sabah and Sarawak.
j
Includes Agalega, Rodrigues and Saint Brandon.
10.2
16.9
6.3
6.1
12.8
4.6
67.5
17.8
24.9
0.1
0.0
0.0
0.0
10.5
11.3
0.0
1,189.7
2,485.5
2,262.1
1,145.6
366.0
2,035.9
233.4
611.3
1,749.0
888.2
898.4
T
54.3
7,162.1
T
16.4
26.6
9.8
8.1
20.9
6.3
103.7
34.5
26.7
0.1
0.0
0.0
0.0
16.9
17.3
0.0
1,276.5
2,662.3
2,716.0
1,675.6
481.3
2,211.9
251.0
711.1
2,085.5
1,348.9
1,287.0
T
63.4
8,424.9
T
1.9
3.0
1.1
0.9
2.5
0.7
11.9
3.7
1.7
..
..
..
..
2.0
1.8
..
69.4
176.8
228.7
176.9
43.9
149.2
18.9
53.6
175.1
146.6
132.1
T
5.4
659.0
T
0.2
0.4
0.1
0.2
0.3
0.2
1.9
0.5
2.4
..
..
..
..
0.3
0.4
..
193.9
215.9
115.9
38.0
15.4
160.7
21.2
44.0
89.6
27.6
31.7
T
3.7
570.5
T
3.0
2.9
4.2
4.3
3.8
1.7
2.8
3.6
0.8
0.0
1.0
0.1
2.0
2.7
3.8
0.6
0.7
0.7
1.6
2.5
2.2
0.8
0.4
1.3
1.6
2.6
2.4
T
1.3
1.2
T
3.2
2.8
3.2
1.9
3.0
2.0
2.7
3.9
0.5
0.2
0.8
0.2
0.6
2.9
4.0
0.2
0.6
0.7
1.3
2.4
2.0
0.8
0.7
1.1
1.3
2.7
2.3
T
1.1
1.1
T
11.5
28.2
22.2
40.0
22.0
39.5
35.4
18.3
60.6
72.5
100.0
100.0
94.2
38.7
18.4
51.4
81.6
61.4
38.3
34.5
57.8
50.8
60.5
79.5
33.4
37.4
29.4
T
53.0
53.0
T
17.6
17.3
18.5
19.3
15.9
20.0
17.5
15.0
33.9
..
..
..
..
16.5
18.9
..
40.2
34.2
26.5
19.5
24.6
33.7
32.2
29.0
26.4
18.5
19.9
T
27.9
29.6
T
85.3
85.6
78.8
72.4
96.3
68.7
84.7
106.0
30.5
..
..
..
..
92.6
75.3
..
26.1
28.7
44.6
72.6
50.8
29.5
33.4
39.4
44.2
78.9
69.1
T
45.4
39.5
T
4.5
4.6
4.3
4.7
4.8
6.7
5.4
5.5
13.8
..
..
..
..
5.6
6.4
..
25.7
12.9
8.1
6.0
6.8
11.8
13.4
11.4
8.1
5.8
6.2
T
11.0
12.5
T
6.9
6.4
5.7
5.7
7.2
5.3
6.9
7.7
2.0
..
..
..
..
7.4
5.9
..
1.7
1.8
3.0
5.3
3.6
1.8
2.0
2.5
3.1
5.7
4.9
T
3.1
2.6
T
6.1
5.7
4.7
4.8
6.3
4.4
6.0
7.6
2.0
..
..
..
..
6.6
5.0
..
1.8
1.8
2.6
4.6
3.2
1.9
2.0
2.2
2.6
5.1
4.2
T
2.7
2.5
T
1.03
1.05
1.05
1.02
1.03
1.03
1.03
1.05
1.05
..
..
..
..
1.03
1.04
..
1.05
1.06
1.05
1.04
1.05
1.05
1.07
1.05
1.06
1.03
1.04
1.06
1.07
k
Includes Nagorno-Karabakh.
l
Includes Kosovo.
m
Includes Abkhazia and South Ossetia.
n
Includes East Jerusalem.
o
Includes Transnistria.
p
Includes Zanzibar
T
From original data source.
DEFINITIONS
Population:
De facto population in a country, area
or region as of 1 July.
Population under age 5:
De facto population in a
country, area or region under age 5 as of 1 July.
Population ages 65 and older:
De facto
population in a country, area or region ages 65 and
older as of 1 July.
Population average annual growth rate:
Average annual exponential growth rate for the
period specified.
Urban population:
De facto population living in
areas classified as urban according to the criteria
used by each country or area as of July 1.
Median age:
Age that divides the population
distribution into two equal parts—that is, 50 percent
of the population is above that age and 50 percent
is below it.
Young age dependency ratio:
Ratio of the
population ages 0–14 to the population ages 15–64,
expressed as the number of dependants per 100
persons of working age (ages 15–64).
Old age dependency ratio:
Ratio of the population
ages 65 and older to the population ages 15–64,
expressed as the number of dependants per 100
people of working age (ages 15–64).
Total fertility rate:
Number of children that would
be born to a woman if she were to live to the end
of her child-bearing years and bear children at each
age in accordance with prevailing age-specific
fertility rates.
Sex ratio at birth:
Number of male births per
female birth.
MAIN DATA SOURCES
Columns 1–6 and 8–13:
UNDESA 2013a.
Column 7:
UNDESA 2013b.
TABLE
15
TABLE 15
Population trends | 219
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0232.png
TABLE
16
Supplementary indicators: perceptions of well-being
Perceptions of individual well-being
Education
quality
Health
care
quality
Standard
of living
Freedom
of choice
Overall life
satisfaction
index
Perceptions about community
Local
labour
market
Trust in
other
people
Perceptions about government
Job
Safety
Efforts to Actions to
Trust in
deal with preserve the national
Community the poor environment government
(0, least
(% answering
satisfied, to 10, (% answering
can be
(% answering
(% answering
(% answering
trusted)
yes)
good)
yes)
yes)
(% satisfied) (% satisfied) (% satisfied) (% satisfied)
(% satisfied) most satisfied)
(% satisfied) (% satisfied)
HDI rank
2012
2008–2012
a
2007–2013
a
2007–2012
a
2007–2012
2007–2012
2007–2012
a
2007–2012
a
2009–2011
a
2007–2012
a
2007–2013
a
2007–2013
a
2007–2012
a
VERY HIGH HUMAN DEVELOPMENT
1 Norway
2 Australia
3 Switzerland
4 Netherlands
5 United States
6 Germany
7 New Zealand
8 Canada
9 Singapore
10 Denmark
11 Ireland
12 Sweden
13 Iceland
14 United Kingdom
15 Hong Kong, China (SAR)
15 Korea (Republic of)
17 Japan
18 Liechtenstein
19 Israel
20 France
21 Austria
21 Belgium
21 Luxembourg
24 Finland
25 Slovenia
26 Italy
27 Spain
28 Czech Republic
29 Greece
30 Brunei Darussalam
31 Qatar
32 Cyprus
33 Estonia
34 Saudi Arabia
35 Lithuania
35 Poland
37 Andorra
37 Slovakia
39 Malta
40 United Arab Emirates
41 Chile
41 Portugal
43 Hungary
44 Bahrain
44 Cuba
46 Kuwait
47 Croatia
48 Latvia
49 Argentina
HIGH HUMAN DEVELOPMENT
50 Uruguay
51 Bahamas
51 Montenegro
53 Belarus
54 Romania
55 Libya
56 Oman
57 Russian Federation
78
66
77
74
64
60
71
74
85
72
82
65
78
73
46
55
55
..
62
67
72
69
65
81
76
62
63
62
46
..
72
66
51
65
54
60
..
61
64
83
49
67
60
82
..
65
62
54
64
62
..
60
53
53
33
..
39
82
81
94
88
73
86
83
75
84
81
64
81
79
86
54
68
75
..
69
78
93
87
88
65
81
55
74
71
29
..
90
62
45
56
51
42
..
59
70
82
35
57
64
70
..
62
63
48
63
76
..
48
38
52
41
78
27
90
87
94
88
72
90
87
86
80
88
76
90
81
80
79
72
71
..
68
83
95
87
92
82
71
66
80
65
38
..
84
69
43
77
29
66
..
49
63
87
72
52
40
66
..
88
39
32
67
79
..
37
37
36
57
87
42
91
87
93
92
85
91
86
90
88
92
88
90
93
88
81
73
79
..
80
81
93
86
91
91
86
83
86
78
73
..
88
88
78
90
73
83
..
78
80
87
82
83
75
77
..
93
73
77
81
83
..
59
62
70
74
86
70
87
65
78
77
74
79
64
84
89
80
74
81
80
75
88
67
77
..
63
67
82
66
73
77
85
66
78
59
47
..
92
68
61
77
45
68
..
55
72
90
57
60
56
60
..
..
66
58
45
51
..
74
61
54
91
..
39
92
93
94
87
82
90
90
92
82
92
90
93
87
88
87
59
70
..
65
83
90
82
91
91
89
55
74
71
36
..
90
69
65
59
46
75
..
53
82
88
72
73
55
63
..
93
46
51
73
85
..
43
53
60
68
91
51
7.7
7.2
7.8
7.5
7.0
6.7
7.2
7.4
6.5
7.5
7.0
7.6
7.6
6.9
5.5
6.0
6.0
..
7.1
6.6
7.4
6.9
7.0
7.4
6.1
5.8
6.3
6.3
5.1
..
6.7
6.2
5.4
6.5
5.8
5.9
..
5.9
6.0
7.2
6.6
5.0
4.7
5.0
..
6.2
6.0
5.1
6.5
6.4
..
5.2
5.7
5.2
5.8
6.9
5.6
54
27
35
14
28
46
29
43
63
18
6
32
33
9
46
25
16
..
26
16
35
19
18
24
9
3
5
11
1
..
66
11
18
73
14
18
..
8
19
47
57
7
7
44
..
69
5
17
34
56
..
7
26
9
49
69
26
..
..
44
46
37
31
..
42
33
60
30
55
..
35
29
26
33
..
26
20
29
30
26
58
15
20
22
24
16
..
23
11
33
36
25
25
..
21
16
18
15
27
13
11
..
11
16
13
23
27
..
21
34
15
..
..
24
92
90
94
93
85
94
89
91
92
94
90
94
75
88
82
79
85
..
79
86
94
91
94
92
92
75
88
84
80
..
92
85
85
93
84
90
..
83
82
93
82
88
74
90
..
93
75
85
82
82
..
69
82
82
72
90
72
34
45
67
63
43
50
53
45
66
57
52
30
34
51
38
33
33
..
14
44
54
45
72
42
44
30
42
21
7
..
91
39
8
80
18
22
..
22
47
85
35
29
17
57
..
89
9
12
34
58
..
9
26
8
56
..
12
52
69
74
66
59
67
77
60
84
70
63
57
55
71
38
33
41
..
42
53
61
58
76
57
58
32
41
52
17
..
91
49
54
56
42
47
..
42
64
89
38
43
45
57
..
78
40
55
42
58
..
35
45
23
37
..
17
66
42
77
57
35
52
61
52
83
53
35
63
26
42
50
23
17
..
34
44
38
44
74
60
24
28
34
17
13
..
89
34
27
..
15
27
..
37
50
..
34
23
21
..
..
..
31
19
42
58
..
36
59
24
..
..
45
220
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0233.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Perceptions of individual well-being
Education
quality
Health
care
quality
Standard
of living
Freedom
of choice
Overall life
satisfaction
index
Perceptions about community
Local
labour
market
Trust in
other
people
Perceptions about government
Job
Safety
Efforts to Actions to
Trust in
deal with preserve the national
Community the poor environment government
(0, least
(% answering
satisfied, to 10, (% answering
can be
(% answering
(% answering
(% answering
trusted)
yes)
good)
yes)
yes)
(% satisfied) (% satisfied) (% satisfied) (% satisfied)
(% satisfied) most satisfied)
(% satisfied) (% satisfied)
HDI rank
2012
2008–2012
a
2007–2013
a
2007–2012
a
2007–2012
2007–2012
2007–2012
a
2007–2012
a
2009–2011
a
2007–2012
a
2007–2013
a
2007–2013
a
2007–2012
a
58 Bulgaria
59 Barbados
60 Palau
61 Antigua and Barbuda
62 Malaysia
63 Mauritius
64 Trinidad and Tobago
65 Lebanon
65 Panama
67 Venezuela (Bolivarian Republic of)
68 Costa Rica
69 Turkey
70 Kazakhstan
71 Mexico
71 Seychelles
73 Saint Kitts and Nevis
73 Sri Lanka
75 Iran (Islamic Republic of)
76 Azerbaijan
77 Jordan
77 Serbia
79 Brazil
79 Georgia
79 Grenada
82 Peru
83 Ukraine
84 Belize
84 The former Yugoslav Republic of Macedonia
86 Bosnia and Herzegovina
87 Armenia
88 Fiji
89 Thailand
90 Tunisia
91 China
91 Saint Vincent and the Grenadines
93 Algeria
93 Dominica
95 Albania
96 Jamaica
97 Saint Lucia
98 Colombia
98 Ecuador
100 Suriname
100 Tonga
102 Dominican Republic
MEDIUM HUMAN DEVELOPMENT
103 Maldives
103 Mongolia
103 Turkmenistan
106 Samoa
107 Palestine, State of
108 Indonesia
109 Botswana
110 Egypt
111 Paraguay
112 Gabon
113 Bolivia (Plurinational State of)
114 Moldova (Republic of)
115 El Salvador
45
..
..
..
91
..
..
63
68
77
83
55
59
62
..
..
80
61
50
61
50
52
67
..
53
44
..
62
54
52
..
91
44
62
..
64
..
60
..
..
65
76
82
..
72
..
55
..
..
67
82
68
40
76
36
70
55
78
39
..
..
..
87
77
63
46
61
64
65
60
47
71
..
..
78
52
34
72
43
25
48
..
37
18
..
47
42
40
..
88
32
65
..
52
..
38
58
..
46
60
78
..
59
..
40
64
..
62
80
56
35
69
29
48
40
67
29
..
..
..
75
64
71
45
79
79
75
55
64
78
..
..
60
67
49
46
34
77
24
..
60
24
69
39
32
30
..
83
54
73
..
66
..
48
42
..
75
69
64
..
63
..
59
89
..
47
63
36
63
86
29
71
45
72
74
..
..
..
83
85
90
63
89
89
85
71
75
76
..
..
84
67
66
69
65
83
50
..
74
67
..
60
59
50
..
97
63
72
..
72
..
68
68
..
82
84
83
..
70
..
81
86
..
64
77
52
71
89
50
85
64
80
59
..
..
..
45
55
69
62
48
26
53
55
51
54
..
..
77
55
69
81
62
46
91
..
46
46
43
63
65
78
..
74
59
82
..
53
..
59
56
..
45
47
60
..
39
..
46
77
..
63
89
35
57
44
35
40
46
53
59
..
..
..
82
83
77
61
73
78
92
45
75
77
..
..
77
57
54
65
45
80
60
..
66
49
62
58
40
46
..
83
53
77
..
56
..
58
75
..
81
81
87
..
83
..
59
63
..
53
70
79
44
75
56
85
55
67
4.2
..
..
..
5.9
5.5
6.5
4.6
6.9
7.1
7.3
5.3
5.8
7.3
..
..
4.2
4.6
4.9
5.1
5.2
6.9
4.3
..
5.8
5.0
6.5
4.6
4.8
4.3
..
6.3
4.5
5.1
..
5.6
..
5.5
5.4
..
6.4
6.0
6.3
..
4.8
..
4.9
5.5
..
4.6
5.4
4.8
4.2
5.8
4.0
6.0
6.0
5.9
6
..
..
..
44
38
46
13
57
57
26
32
38
43
..
..
50
22
27
13
3
56
12
..
43
15
44
8
5
12
..
73
22
38
..
53
..
12
20
..
41
35
34
..
21
..
12
57
..
8
38
32
10
60
35
50
6
35
20
..
..
..
14
..
..
7
21
13
14
8
33
29
..
..
17
..
27
9
17
15
16
..
12
29
..
11
18
15
..
27
15
57
..
16
..
7
..
..
14
9
..
..
15
..
14
27
..
9
21
9
25
12
..
10
12
18
77
..
..
..
83
91
87
81
87
81
85
78
80
79
..
..
90
76
73
74
65
74
77
..
72
76
67
65
66
55
..
95
71
80
..
83
..
71
72
..
83
84
90
..
81
..
76
94
..
76
90
61
63
92
45
84
73
85
9
..
..
..
70
..
34
19
37
60
40
41
32
41
..
..
58
58
22
51
10
43
36
..
37
8
20
16
6
14
..
67
30
68
..
41
..
13
21
..
34
59
61
..
46
..
16
38
..
39
28
74
31
33
26
56
18
43
33
..
..
..
72
79
44
27
46
63
72
45
40
53
..
..
70
61
48
47
25
46
53
..
40
18
30
37
19
32
..
75
38
72
..
48
..
27
32
..
49
67
65
..
57
..
22
61
..
40
54
67
20
46
49
58
19
50
34
..
..
..
76
67
52
37
36
54
28
53
73
36
..
..
78
56
71
77
22
46
61
..
27
24
26
37
19
29
..
70
44
..
..
53
..
36
36
..
36
64
72
..
43
..
31
..
..
47
67
66
60
30
36
44
21
31
TABLE
16
TABLE 16
Supplementary indicators: perceptions of well-being | 221
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0234.png
TABLE 16
SUPPLEMENTARY INDICATORS: PERCEPTIONS OF WELL-BEING
Perceptions of individual well-being
Education
quality
Health
care
quality
Standard
of living
Freedom
of choice
Overall life
satisfaction
index
Perceptions about community
Local
labour
market
Trust in
other
people
Perceptions about government
Job
Safety
Efforts to Actions to
Trust in
deal with preserve the national
Community the poor environment government
(0, least
(% answering
satisfied, to 10, (% answering
can be
(% answering
(% answering
(% answering
trusted)
yes)
good)
yes)
yes)
(% satisfied) (% satisfied) (% satisfied) (% satisfied)
(% satisfied) most satisfied)
(% satisfied) (% satisfied)
HDI rank
2012
2008–2012
a
2007–2013
a
2007–2012
a
2007–2012
2007–2012
2007–2012
a
2007–2012
a
2009–2011
a
2007–2012
a
2007–2013
a
2007–2013
a
2007–2012
a
TABLE
16
116 Uzbekistan
117 Philippines
118 South Africa
118 Syrian Arab Republic
120 Iraq
121 Guyana
121 Viet Nam
123 Cape Verde
124 Micronesia (Federated States of)
125 Guatemala
125 Kyrgyzstan
127 Namibia
128 Timor-Leste
129 Honduras
129 Morocco
131 Vanuatu
132 Nicaragua
133 Kiribati
133 Tajikistan
135 India
136 Bhutan
136 Cambodia
138 Ghana
139 Lao People's Democratic Republic
140 Congo
141 Zambia
142 Bangladesh
142 Sao Tome and Principe
144 Equatorial Guinea
LOW HUMAN DEVELOPMENT
145 Nepal
146 Pakistan
147 Kenya
148 Swaziland
149 Angola
150 Myanmar
151 Rwanda
152 Cameroon
152 Nigeria
154 Yemen
155 Madagascar
156 Zimbabwe
157 Papua New Guinea
157 Solomon Islands
159 Comoros
159 Tanzania (United Republic of)
161 Mauritania
162 Lesotho
163 Senegal
164 Uganda
165 Benin
166 Sudan
166 Togo
168 Haiti
169 Afghanistan
170 Djibouti
171 Côte d'Ivoire
172 Gambia
173 Ethiopia
83
83
67
43
50
..
83
..
..
74
64
..
..
64
41
..
83
..
76
69
..
92
59
73
56
54
84
..
..
79
59
69
..
..
69
76
67
55
35
50
62
..
..
49
35
30
..
31
48
52
38
..
39
64
..
..
..
..
86
83
46
30
30
..
59
..
..
49
53
..
..
49
25
..
65
..
68
48
..
83
46
66
38
50
63
..
..
56
43
57
58
30
54
65
48
47
19
35
58
..
..
24
28
30
21
42
41
44
28
23
24
43
49
21
..
..
64
70
43
38
45
64
68
..
..
66
62
61
..
56
74
..
71
..
81
47
..
49
35
73
42
34
74
..
..
57
58
33
45
50
45
30
43
49
47
18
48
..
..
38
40
43
27
37
38
20
44
16
17
31
63
17
..
..
89
83
55
53
60
..
82
..
..
85
69
..
..
82
68
..
85
..
84
67
..
84
63
85
63
54
80
..
..
85
74
50
55
65
71
43
63
64
53
48
53
..
..
61
66
56
47
68
59
51
48
42
38
88
70
..
..
..
84
66
27
49
41
47
67
..
..
53
51
33
..
49
56
..
56
..
86
61
..
63
73
75
51
46
81
..
..
61
41
50
42
45
89
86
60
61
65
40
52
..
..
72
58
63
38
57
41
71
68
52
40
39
72
47
..
..
88
91
58
40
29
66
73
..
..
84
66
76
..
69
72
..
84
..
67
57
..
95
68
87
77
78
64
..
..
57
35
61
61
57
65
84
76
63
67
48
46
..
..
53
57
48
62
67
64
77
40
56
43
49
74
76
..
..
6.0
5.0
5.1
3.2
4.7
6.0
5.5
..
..
5.9
5.2
4.9
..
4.6
5.0
..
5.4
..
4.5
4.6
..
3.9
5.1
4.9
3.9
5.0
4.7
..
..
4.2
5.1
4.5
4.9
5.6
4.4
3.3
4.2
5.5
4.1
3.6
5.0
..
..
4.0
4.0
4.7
4.9
3.7
4.3
3.2
4.6
2.9
4.4
3.8
4.4
4.2
..
..
55
65
29
17
40
33
35
..
..
33
38
33
..
31
21
..
40
..
58
30
..
55
29
66
53
32
35
..
..
36
17
34
25
44
32
44
33
31
12
29
33
..
..
30
32
32
21
40
21
27
17
24
17
37
55
25
..
..
26
14
17
9
15
..
26
..
..
15
34
..
..
13
58
..
11
..
31
20
..
9
19
..
..
31
15
..
..
17
20
10
..
..
..
30
13
13
27
..
15
..
..
35
26
30
..
28
17
..
31
..
30
25
55
13
..
..
93
90
54
35
64
75
81
..
..
88
87
77
..
84
77
..
89
..
91
75
..
92
55
94
67
56
90
..
..
84
79
65
62
50
90
60
60
69
71
83
65
..
..
75
60
64
52
64
65
63
63
58
40
70
75
41
..
..
67
82
25
47
8
20
59
..
..
41
35
35
..
32
48
..
53
..
53
39
..
89
22
66
28
27
57
..
..
34
16
26
..
60
51
66
29
15
27
23
36
..
..
17
26
26
..
23
21
25
22
10
15
20
55
8
..
..
82
87
42
44
15
34
50
..
..
49
44
58
..
47
51
..
67
..
58
40
..
92
44
90
61
41
60
..
..
45
19
51
56
42
50
90
53
35
21
36
58
..
..
39
36
37
23
40
44
46
26
46
38
43
58
32
..
..
..
76
43
..
34
46
86
..
..
50
51
82
..
26
45
..
57
..
92
54
..
83
58
98
54
59
71
..
..
44
23
40
35
23
..
95
53
30
60
35
41
..
..
46
41
38
40
65
40
58
54
51
37
44
68
42
..
..
222
| HUMAN DEVELOPMENT REPORT
2014
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0235.png
HUMAN DEVELOPMENT REPORT
2014
Sustaining Human Progress
Reducing Vulnerabilities and Building Resilience
Perceptions of individual well-being
Education
quality
Health
care
quality
Standard
of living
Freedom
of choice
Overall life
satisfaction
index
Perceptions about community
Local
labour
market
Trust in
other
people
Perceptions about government
Job
Safety
Efforts to Actions to
Trust in
deal with preserve the national
Community the poor environment government
(0, least
(% answering
satisfied, to 10, (% answering
can be
(% answering
(% answering
(% answering
trusted)
yes)
good)
yes)
yes)
(% satisfied) (% satisfied) (% satisfied) (% satisfied)
(% satisfied) most satisfied)
(% satisfied) (% satisfied)
HDI rank
2012
2008–2012
a
2007–2013
a
2007–2012
a
2007–2012
2007–2012
2007–2012
a
2007–2012
a
2009–2011
a
2007–2012
a
2007–2013
a
2007–2013
a
2007–2012
a
174 Malawi
175 Liberia
176 Mali
177 Guinea-Bissau
178 Mozambique
179 Guinea
180 Burundi
181 Burkina Faso
182 Eritrea
183 Sierra Leone
184 Chad
185 Central African Republic
186 Congo (Democratic Republic of the)
187 Niger
OTHER COUNTRIES OR TERRITORIES
Korea, Democratic People’s Rep. of
Marshall Islands
Monaco
Nauru
San Marino
Somalia
South Sudan
Tuvalu
Human Development Index groups
Very high human development
High human development
Medium human development
Low human development
Regions
Arab States
East Asia and the Pacific
Europe and Central Asia
Latin America and the Caribbean
South Asia
Sub-Saharan Africa
Least developed countries
Small island developing states
World
66
..
35
..
..
22
..
66
..
..
58
..
40
47
..
..
..
..
..
..
..
..
63
60
71
..
48
..
57
..
69
..
..
..
64
64
32
31
..
47
21
41
42
..
34
47
23
32
37
..
..
..
..
..
..
..
..
72
58
54
42
39
..
50
47
49
42
45
..
57
37
43
26
..
38
20
26
35
..
32
42
34
42
57
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
50
63
60
..
63
49
65
56
..
61
71
67
55
72
..
..
..
..
..
..
..
..
84
74
71
64
68
..
71
80
70
59
67
..
74
49
43
67
..
42
50
65
70
..
50
33
60
48
86
..
..
..
..
..
..
..
..
72
68
65
55
60
..
60
47
60
53
62
..
66
64
87
70
..
64
64
49
62
..
77
56
78
54
73
..
..
..
..
..
..
..
..
77
73
62
56
53
..
56
77
55
63
62
..
68
4.3
4.2
4.3
..
5.0
3.7
3.7
4.0
..
4.5
4.0
3.7
4.6
3.8
..
..
..
..
..
..
..
..
6.6
5.5
4.8
4.6
4.8
..
5.3
6.6
4.6
4.6
4.3
..
5.3
32
53
31
..
45
46
17
27
..
30
37
36
35
45
..
..
..
..
..
..
..
..
—
—
—
—
—
—
—
—
—
—
—
—
—
33
12
45
..
..
..
38
26
..
16
21
37
39
40
..
..
..
..
..
..
..
..
31
..
..
..
25
..
21
..
20
..
..
..
30
78
63
60
..
83
64
76
78
..
52
68
76
60
77
..
..
..
..
..
..
..
..
86
79
78
70
71
..
79
78
77
65
74
..
78
47
17
13
..
35
10
27
23
..
11
19
27
27
34
..
..
..
..
..
..
..
..
41
55
41
24
39
..
33
41
39
24
37
..
44
61
34
42
..
55
43
71
61
..
46
67
69
40
57
..
..
..
..
..
..
..
..
53
60
46
39
36
..
43
49
41
44
49
..
51
47
53
49
..
63
56
85
62
..
58
30
78
44
53
..
..
..
..
..
..
..
..
36
48
59
40
..
..
47
42
52
44
55
..
48
NOTES
a
Data refer to the most recent year available
during the period specified.
DEFINITIONS
Satisfaction with education quality:
Percentage
of respondents who answered “satisfied” to the
Gallup World Poll question, “Are you satisfied or
dissatisfied with the education system?”
Satisfaction with health care quality:
Percentage of respondents who answered
“satisfied” to the Gallup World Poll question, “Are
you satisfied or dissatisfied with the availability of
quality health care?”
Satisfaction with standard of living:
Percentage
of respondents answering “satisfied” to the
Gallup World Poll question, “Are you satisfied or
dissatisfied with your standard of living, all the
things you can buy and do?”
Satisfaction with job:
Percentage of respondents
answering “satisfied” to the Gallup World Poll
question, “Are you satisfied or dissatisfied with
your job?”
Perception of safety:
Percentage of respondents
answering “yes” to the Gallup World Poll question,
“Do you feel safe walking alone at night in the city
or area where you live?”
Satisfaction with freedom of choice:
Percentage
of respondents answering “satisfied” to the Gallup
World Poll question, “In this country, are you
satisfied or dissatisfied with your freedom to choose
what you do with your life?”
Overall life satisfaction index:
Average response
to the Gallup World Poll question: “Please imagine a
ladder, with steps numbered from zero at the bottom
to ten at the top. Suppose we say that the top of
the ladder represents the best possible life for you,
and the bottom of the ladder represents the worst
possible life for you. On which step of the ladder
would you say you personally feel you stand at this
time, assuming that the higher the step the better
you feel about your life, and the lower the step the
worse you feel about it? Which step comes closest
to the way you feel?”
Satisfaction with local labour market:
Percentage of respondents answering “good” to
Gallup World Poll question, “Thinking about the job
situation in the city or area where you live today,
would you say that it is now a good time or a bad
time to find a job?”
Trust in other people:
Percentage of respondents
answering “can be trusted” to the Gallup World Poll
question, “Generally speaking, would you say that
most people can be trusted or that you have to be
careful in dealing with people?”
Satisfaction with community:
Percentage of
respondents answering “yes” to the Gallup World
Poll question, “Are you satisfied or dissatisfied with
the city or area where you live?”
Satisfaction with efforts to deal with the
poor:
Percentage of respondents who answered
“satisfied” to Gallup World Poll question, “In this
country, are you satisfied or dissatisfied with efforts
to deal with the poor?”
Satisfaction with actions to preserve the
environment:
Percentage of respondents answering
“satisfied” to Gallup World Poll question: “In this
country, are you satisfied or dissatisfied with the
efforts to preserve the environment?”
Trust in national government:
Percentage
of respondents answering “yes” to the Gallup
World Poll question, “In this country, do you have
confidence in the national government?”
MAIN DATA SOURCES
Columns 1–13:
Gallup 2013.
TABLE
16
TABLE 16
Supplementary indicators: perceptions of well-being | 223
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
Regions
Arab States (20 countries or territories)
Algeria, Bahrain, Djibouti, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, State of Palestine, Oman, Qatar, Saudi
Arabia, Somalia, Sudan, Syrian Arab Republic, Tunisia, United Arab Emirates, Yemen
East Asia and the Pacific (24 countries)
Cambodia, China, Fiji, Indonesia, Kiribati, Democratic People’s Republic of Korea, Lao People’s Democratic Republic,
Malaysia, Marshall Islands, Federated States of Micronesia, Mongolia, Myanmar, Nauru, Palau, Papua New Guinea,
Philippines, Samoa, Solomon Islands, Thailand, Timor-Leste, Tonga, Tuvalu, Vanuatu, Viet Nam
Europe and Central Asia (17 countries)
Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Georgia, Kazakhstan, Kyrgyzstan, Republic of Moldova,
Montenegro, Serbia, Tajikistan, The former Yugoslav Republic of Macedonia, Turkey, Turkmenistan, Ukraine, Uzbekistan
Latin America and the Caribbean (33 countries)
Antigua and Barbuda, Argentina, Bahamas, Barbados, Belize, Plurinational State of Bolivia, Brazil, Chile, Colombia, Costa
Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica,
Mexico, Nicaragua, Panama, Paraguay, Peru, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines,
Suriname, Trinidad and Tobago, Uruguay, Bolivarian Republic of Venezuela
South Asia (9 countries)
Afghanistan, Bangladesh, Bhutan, India, Islamic Republic of Iran, Maldives, Nepal, Pakistan, Sri Lanka
Sub-Saharan Africa (46 countries)
Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Comoros, Congo,
Democratic Republic of the Congo, Côte d’Ivoire, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea,
Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mozambique, Namibia, Niger,
Nigeria, Rwanda, São Tomé and Príncipe, Senegal, Seychelles, Sierra Leone, South Africa, South Sudan, Swaziland, United
Republic of Tanzania, Togo, Uganda, Zambia, Zimbabwe
Note:
Countries included in aggregates for Least Developed Countries and Small Island Developing States follow UN classifications, which are available at www.unohrlls.org.
224
| HUMAN DEVELOPMENT REPORT
2014
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Statistical references
Aguna, C., and M. Kovacevic. 2011.
“Uncertainty and Sensi-
tivity Analysis of the Human Development Index.” Human
Development Research Paper 2010/47. UNDP–HDRO,
New York. http://hdr.undp.org/en/content/uncertainty-
and-sensitivity-analysis-human-development-index.
Alkire, S., A. Conconi, and S. Seth. 2014.
“Multi-
dimensional Poverty Index 2014: Brief Methodological
Note and Results.” Oxford Poverty and Human Develop-
ment Initiative, Oxford University, UK.
Akire, S., and M. Santos. 2010.
“Acute Multidimension-
al Poverty: A New Index for Developing Countries.”
Human Development Research Paper 2010/11.
UNDP-HDRO. New York. http://hdr.undp.org/en/content/
acute-multidimensional-poverty.
Barro, R.J., and J.W. Lee. 2013.
A New Data Set of Edu-
cational Attainment in the World, 1950–2010.
National
Bureau of Economic Research Working Paper 15902. Cam-
bridge, MA: National Bureau of Economic Research. www.
nber.org/papers/w15902. Accessed 15 November 2013.
CEPII (Centre d’Etudes Prospectives et d’Informations
Internationales). 2013.
GeoDist. www.cepii.fr/CEPII/en/
bdd_modele/presentation.asp?id=6. Accessed 15 Novem-
ber 2013.
CRED EM-DAT (Centre for Research on the Epidemiology
of Disasters). 2013.
The International Disaster Database.
www.emdat.be. Accessed 15 November 2013.
ECLAC (Economic Commission for Latin America and the
Caribbean). 2013.
Preliminary Overview of the Economies
of Latin America and the Caribbean.
Santiago. www.eclac.
org/cgi-bin/getProd.asp?xml=/publicaciones/xml/4/41974/
P41974.xml. Accessed 15 November 2013.
Eurostat. 2013.
“European Union Statistics on Income and
Living Conditions (EUSILC)”. Brussels. http://epp.eurostat.
ec.europa.eu/portal/page/portal/microdata/eu_silc.
Accessed 15 September 2013.
FAO (Food and Agriculture Organization). 2013a.
FAOSTAT
database. http://faostat3.fao.org/faostat-gateway/go/to/
home/E. Accessed 15 November 2013.
———. 2013b.
AQUASTAT database. www.fao.org/nr/
water/aquastat/data. Accessed 15 December 2013.
Gallup. 2013.
Gallup World Poll database. http://worldview.
gallup.com. Accessed 15 December 2013.
Høyland, B., K. Moene, and F. Willumsen. 2011.
“The Tyr-
anny of International Index Rankings.”
Journal of Develop-
ment Economics
97(1): 1–14.
ICF Macro. Various years.
The DHS Program. www.
dhsprogram.com. Accessed 15 November 2013.
IDMC (Internally Displaced Monitoring Centre). 2013.
IDPs worldwide. www.internal-displacement.org.
Accessed 15 December 2013.
ILO (International Labour Organization). 2013a.
Key Indica-
tors of the Labour Market.
7th edition. Geneva. www.ilo.
org/empelm/what/WCMS_114240/lang--en/index.htm.
Accessed 15 December 2013.
———. 2013b.
LABORSTA database. http://laborsta.ilo.org.
Accessed 15 November 2013.
———. 2014a.
Social Protection Department database.
www.social-protection.org/gimi/gess/RessourceDownload
.action?ressource.ressourceId=37897. Accessed 15 Feb-
ruary 2014
———. 2014b.
ILOSTAT database. www.ilo.org/ilostat.
Accessed 15 February 2014.
IMF (International Monetary Fund). 2014.
World Econom-
ic Outlook database. April 2014. www.imf.org/external/
pubs/ft/weo/2014/01/weodata/index.aspx. Accessed
7 May 2014.
Inter-agency Group for Child Mortality Estimation.
2013.
Child mortality estimates. www.childmortality.org.
Accessed 15 December 2013.
International Centre for Prison Studies. 2013.
World prison
brief. www.prisonstudies.org. Accessed 15 September
2013.
IPU (Inter-Parliamentary Union). 2013.
Women in national
parliaments. www.ipu.org/wmn-e/classif.htm. Accessed
15 October 2013.
ITU (International Telecommunication Union). 2013.
World Telecommunication/ICT Indicators database. www.
itu.int/ITU-D/ict/statistics. Accessed 15 August 2013.
LIS (Luxembourg Income Study). 2013.
Luxembourg Income
Study Project. www.lisdatacenter.org/our-data/lis-database/.
Accessed 15 September 2013.
National Institute for Educational Studies of Brazil. 2013.
Correspondence on school life expectancy. Brasilia.
OECD (Organisation for Economic Co-operation and
Development). 2013.
PISA 2012 results. www.oecd.
org/pisa/keyfindings/pisa-2012-results.htm. Accessed
15 December 2013.
Palma, J.G. 2011.
“Homogeneous Middles vs. Heteroge-
neous Tails, and the End of the ‘Inverted-U’: The Share
of the Rich Is What It’s All About.” Cambridge Working
Papers in Economics 1111. Cambridge University, UK.
www.econ.cam.ac.uk/dae/repec/cam/pdf/cwpe1111.pdf.
Accessed 15 September 2013.
Salomon, J.A., H. Wang, M.K. Freeman, T. Vos, A.D. Flax-
man, A.D. Lopez, and C.J.L. Murray. 2012.
“Healthy Life
Expectancy for 187 Countries, 1990–2010: A Systemat-
ic Analysis for the Global Burden Disease Study 2010.”
Lancet
380(9859): 2144–62.
Samoa Bureau of Statistics. n.d.
Census tables. www.sbs.
gov.ws. Accessed 15 November 2013.
UNDESA (United Nations Department of Economic and
Social Affairs). 2011.
World Population Prospects: The
2010 Revision.
New York. www.un.org/en/development/
desa/population/publications/trends/population
-prospects_2010_revision.shtml. Accessed 15 October
2013.
———. 2013a.
World Population Prospects: The 2012 Revi-
sion.
New York. http://esa.un.org/unpd/wpp. Accessed
15 October 2013.
———. 2013b.
World Urbanization Prospects: The 2011
Revision.
New York. http://esa.un.org/unup/CD-ROM/
Urban-Rural-Population.htm. Accessed 15 October 2013.
———. 2013c.
Trends in International Migrant Stock: The
2013 Revision.
New York. http://esa.un.org/unmigration/
migrantstocks2013.htm. Accessed 15 September 2013.
UNESCO Institute for Statistics. 2011.
Global Education
Digest 2011.
Montreal.
———. 2012.
Global Education Digest 2012.
Montreal.
———. 2013a.
Data Centre. http://stats.uis.unesco.org.
Accessed 15 May 2013.
———. 2013b.
Data Centre. http://stats.uis.unesco.org.
Accessed 15 December 2013.
UNESCWA (United Nations Economic and Social Com-
mission for Western Asia). 2013.
Survey of Economic
and Social Developments in Western Asia, 2012–2013.
Beirut. www.escwa.un.org/information/pubaction.asp
?PubID=1370. Accessed 15 November 2013.
UNHCR (United Nations High Commissioner for Refu-
gees). 2013.
Correspondence on refugees, September
2013. Geneva.
UNICEF (United Nations Children’s Fund). 2014.
The
State of the World’s Children 2014 in Numbers: Every
Child Counts: Revealing Disparities, Advancing Children’s
Rights.
New York. www.unicef.org/sowc2014/numbers.
Accessed 15 April 2014.
———. Various years.
Multiple Indicators Cluster Surveys.
New York. www.unicef.org/statistics/index_24302.html.
Accessed November 2013.
United Nations Statistics Division. 2013.
National report-
ing of household characteristics, living arrangements and
homeless households. www.un.org/en/development/
desa/policy/cdp/ldc/ldc_data.shtml. Accessed 15 Novem-
ber 2013.
———. 2014.
National Accounts Main Aggregate Database.
http://unstats.un.org/unsd/snaama. Accessed 7 May
2014.
UNODC (United Nations Office on Drugs and Crime).
2013.
Homicide statistics. www.unodc.org/unodc/en/
data-and-analysis/homicide.html. Accessed 15 Novem-
ber 2013.
WHO (World Health Organization). 2013a.
Global Health
Observatory. www.who.int/entity/gho/mortality_burden_
disease/mortality_adult/en/. Accessed 15 September
2013.
———. 2013b.
Global Health Expenditure database. http://
apps.who.int/nha/database. Accessed 15 November 2013.
———. 2013c.
Mental health. www.who.int/gho/mental_
health. Accessed 15 November 2013.
WHO (World Health Organization), UNICEF (United
Nations Children’s Fund), UNFPA (United Nations
Population Fund) and the World Bank. 2013.
Trends
in estimates of maternal mortality ratio. www.childinfo.
org/maternal_mortality_ratio.php. Accessed 15 Novem-
ber 2013.
World Bank. 2013a.
World Development Indicators data-
base. Washington, D.C. http://data.worldbank.org.
Accessed 15 October 2013.
———. 2013b.
“Getting a Job.” http://wbl.worldbank.org/
Data/ExploreTopics/getting-a-job#Parental. Accessed
15 July 2013.
———. 2014.
World Development Indicators database.
Washington, D.C. http://data.worldbank.org. Accessed
7 May 2014.
Statistical references | 225
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0238.png
Countries and HDI ranks in 2013 and change in rank from 2012 to 2013
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo
Congo (Democratic Republic of the)
Costa Rica
Côte d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia
169
95
93
37
149
61
49
87
2
21
76
51
44
142
59
53
21
84
165
136
113
86
109
79
30
58
181
180
136
152
8
123
185
184
41
91
98
159
140
186
68
171
47
44
32
28
10
170
93
102
98
110
115
144
182
33
173
88
24
20
112
172
–1
–3
–2
–1
1
–1
–1
–1
1
2
–2
1
–1
1
1
–1
1
–1
–1
2
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hong Kong, China (SAR)
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia (Federated States of)
Moldova (Republic of)
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
79
6
138
29
79
125
179
177
121
168
129
15
43
13
135
108
75
120
11
19
26
96
17
77
70
147
133
15
46
125
139
48
65
162
175
55
18
35
21
155
174
62
103
176
39
161
63
71
124
114
103
51
129
178
150
127
145
4
7
132
187
152
–1
1
2
3
1
2
1
–1
–2
–5
–2
1
1
1
–2
1
–3
–1
–3
–2
–1
–1
2
Norway
Oman
Pakistan
Palau
Palestine, State of
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoa
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
South Africa
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Tanzania (United Republic of)
Thailand
The former Yugoslav Republic of Macedonia
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemen
Zambia
Zimbabwe
1
56
146
60
107
65
157
111
82
117
35
41
31
54
57
151
73
97
91
106
142
34
163
77
71
183
9
37
25
157
118
27
73
166
100
148
12
3
118
133
159
89
84
128
166
100
64
90
69
103
164
83
40
14
5
50
116
131
67
121
154
141
156
2
4
–3
–1
2
1
1
1
1
–4
1
1
–1
1
2
1
–3
1
–1
1
3
1
–2
–1
–4
1
1
–1
2
–1
Note: Positive or negative values in the rightmost column indicate the number of positions upward or downward in the country’s ranking over 2012–2013 using consistent data and methodology;
a blank indicates no change.
 URU, Alm.del - 2014-15 (1. samling) - Bilag 71: Human Development Report 2014
1438643_0239.png
United Nations Development Programme
One United Nations Plaza
New York, NY 10017
www.undp.org
ISBN 978-92-1-126368-8
More than 200 million people a year, most of them
in developing countries, are affected by natural
disasters. The number of people displaced by conflict
or persecution—45 million by the end of 2012—is the
highest in 18 years. Economic setbacks threaten to
undermine social gains even in advanced industrialized
societies. And in addition to bringing many benefits,
globalization has also conveyed new vulnerabilities:
Shocks in one part of the world can spread rapidly,
impacting people’s lives everywhere.
This Report highlights the need for both promoting
people’s choices and protecting human development
achievements. It stresses the importance of identifying
and addressing persistent vulnerabilities by building
resilience and enhancing people’s capability to cope
with shocks—financial, natural or otherwise.
Although almost everyone is likely to feel vulnerable
at some point in life, some individuals and groups are
systematically worse off. Almost 1.5 billion people are
multidimensionally poor, with overlapping deprivations
in health, education and living standards. And close
to 800 million people are vulnerable to falling back into
poverty when setbacks occur. This Report focuses on
the people at greatest risk and on key underlying drivers
of vulnerability. It analyses structural causes—social
marginalization, position in society and insufficient
public services—and pays attention to the different
vulnerabilities faced at different stages of the life cycle.
Hazards and shocks will inevitably occur, but
measures can be taken to contain how far these events
reduce human development. This Report argues that
most shocks and setbacks can be overcome with the
right policies and a stronger commitment to social
cohesion. Early detection mechanisms and modest
investments at the right time can often considerably
reduce vulnerability and build resilience. A human
development approach is therefore incomplete unless
it incorporates vulnerabilit y and resilience into
the analysis. Identifying and targeting vulnerable
groups, reducing inequality and addressing structural
vulnerabilities are essential to yield robust and
sustainable human progress across generations.
“By addressing vulnerabilities, all people may share in development progress, and human development will become increasingly
equitable and sustainable.”
—United Nations Development Programme Administrator Helen Clark
“Vulnerability has multiple causes and consequences. Reducing vulnerability is a key ingredient in any agenda for
improving human development. But if we are to succeed in reducing vulnerability, we need to approach it from a broad
systemic perspective.”
—Nobel Laureate Joseph Stiglitz, from chapter 4
“Human resilience is about removing the barriers that hold people back in their freedom to act. It is also about enabling
disadvantaged and excluded groups to express their concerns, to be heard and to be active agents in shaping their
destiny.”
—Report lead author Khalid Malik, from chapter 1
“Despite great and varied progress, vulnerable people and vulnerable groups remain—none more so than the disabled. The
United Nations estimates that more than a billion people live with some form of disability, and they are disproportionately
represented among the world’s poorest.”
—Professor Stephen Hawking, from chapter 1