Financial Management Information Systems Database

Climate

Exposure to impacts

Resilience

GHG emissions and energy use

National-level actions

Carbon markets

From World Development Indicators

The Little Data Book on Climate Change

2011 THE LITTLE DATA BOOKON CLIMATE CHANGE

Copyright ©2012 by the International Bank for Reconstruction and Development/THE WORLD BANK

1818 H Street, N.W.Washington, D.C. 20433

U.S.A.

All rights reservedManufactured in the United States of America

First printing November 2011

ISBN: 978-0-8213-8959-1eISBN: 978-0-8213-8964-5

DOI: 10.1596/978-0-8213-8959-1SKU: 18959

The Little Data Book on Climate Change 2011 is a product of theDevelopment Data Group of the Development Economics Vice Presidency,

the Environment Department, and the Global Facility for Disaster Reduction and Recovery Group of the World Bank.

Cover design by Peter Grundy Art & Design, London, U.K.Design by Communications Development Incorporated, Washington, D.C.

iiiThe Little Data Book on Climate Change 2011

Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

Foreword. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .v

User guide . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi

Regional tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

World . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

East Asia and Pacific . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Europe and Central Asia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

Latin America and the Caribbean . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Middle East and North Africa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

South Asia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Sub-Saharan Africa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

Income and other group tables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Low income. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

Middle income. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

Lower middle income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Upper middle income. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

Low and middle income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

High income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Euro area . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Small island developing states . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

Country tables (in alphabetical order) . . . . . . . . . . . . . . . . . . . . . . . . . . 18

Renewable energy in 2010. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237

Urban areas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240

Summary of national actions: Renewable energy targets and non-Annex-I country GHG emissions reduction goals. . . . . . . . . . . . . . . 241

Glossary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253

Contents

iv 2011 The Little Data Book on Climate Change

The Little Data Book on Climate Change 2011 is based on the World Develop-

ment Indicators database. Defining, gathering, and disseminating international

statistics is a collective effort of many people and organizations. The

indicators presented in these resources are results of decades of work at

many levels, from the field workers who administer censuses and household

surveys to the committees and working parties of the national and interna-

tional statistical agencies that develop the nomenclature, classifications,

and standards fundamental to the international statistical system. Non-

governmental organizations have also made important contributions. We

are indebted to many external partners as detailed in World Development

Indicators 2011 who have provided substantial help, guidance, and data.

The Little Data Book on Climate Change 2011 is the result of close collabora-

tion between the staff of the Development Data Group of the Development

Economics Vice Presidency (DECDG), the Environment Depart ment of the

Sustainable Development Vice Presidency (ENV), and the Global Facility for

Disaster Reduction and Recovery (GFDRR). Timothy Herzog coordinated the

production of the book with substantial contributions from Philippe Ambrosi,

Ana Bucher, and Fernanda Zermoglio from ENV, Milen Dyoulgerov and Ian

Noble from GFDRR, and William Prince from DECDG. Additional support was

provided by Azita Amjadi, Federico Escaler, Mahyar Eshragh-Tabary, Neil

Fantom, Tariq Khokhar, Alison Kwong, and Sup Lee, from DECDG; Sameer

Akbar, Jane Ebinger, Fernando Loayza, Elisabeth Mealey, Kiran Pandey, Kanta

Kumari Rigaud, and Sari Soderstrom from ENV; Daniel Hoornweg and Marcus

Lee from Financial Solutions Group; Roshin Joseph, and Ayaz Parvez from

GFDRR; Richard Damania from the Latin America and the Caribbean Region

(LAC); and Gabriela Elizondo Azuela from the Sustainable Energy Department

(SEGEN). The book’s design is done by Jomo Tariku and is based on an

original design by Communications Development Incorporated. Staff from

External Affairs consisting of Stephen McGroarty, Dina Towbin, and Nora

Ridolfi oversaw publication and distribution of the book. The book was

prepared under supervision of Shaida Badiee, director of the Development

Data Group; Mary Barton-Dock, director of Environ ment; and Andrew Steer,

Special Envoy for Climate Change.

Acknowledgments

vThe Little Data Book on Climate Change 2011

ForewordWhen President Robert Zoellick launched the World Bank’s Open Data

Initiative in April 2010, he said its purpose was to “open the treasure

chest of the World Bank’s data and knowledge to every village, to everyone

everywhere.” This small book and the much bigger open database behind

it are part of this same goal.

Solving the problem of climate change requires that our behavior changes.

Whether this happens depends on our understanding, which, in turn, depends

upon our knowledge of facts and their implications. Access to freely available

climate and climate-related data is essential to catalyze the changes in

policies, investments, and technologies that will be needed if we are to

move toward a climate-smart future.

The Little Data Book on Climate Change includes a diverse set of indi-

cators selected from the global economic and scientific communities. These

indica tors recognize the intrinsic relationship between climate change and

development and attempt to synthesize important aspects of current and

projected climate conditions, exposure to climate impacts, resilience,

greenhouse gas emissions, and the current state of efforts to take action.

While these indicators are from standard sources and represent professional

consensus, many are subject to considerable uncertainties, and the usual

care must be taken in their interpretation.

The Little Data Book on Climate Change draws upon several online resources,

including the Open Data website,1 the Climate Change Knowledge Portal,2

and the Open Data for Resilience initiative.3 These resources from the World

Bank and the Global Facility for Disaster Reduction and Recovery (GFDRR)

provide free and open access to data and information relevant to climate

risk, climate change, and development at the international, national and

subnational levels. These resources contain many more indicators than

are available in the limited space of this book and include interactive tools,

visualizations on the use and interpretation of the data. In addition, there

are other tools that will help users and programmers access World Bank

data and develop applications.

We invite you to visit the online companions to the Little Data Book on Climate

Change. In the coming months, we will continue to add to the datasets. We

welcome suggestions on how we can improve these resources for everyone.

Shaida Badiee Andrew Steer

Director Special Envoy for Climate Change

Development Data Group World Bank Group

1 http://data.worldbank.org/2 http://climateknowledgeportal.worldbank.org/3 http://www.gfdrr.org/gfdrr/opendri/

vi 2011 The Little Data Book on Climate Change

User guideThe indicators in the Little Data Book on Climate Change are organized into

the following categories, each of which relates to climate change, development,

and the intrinsic relationship between the two. For additional information,

refer to the definitions of each indicator in the Glossary.

Climate includes data on current and projected future average climate

conditions, particularly precipitation and temperature.

Exposure to Impacts includes data that suggest the degree to which a

country or region may be exposed to changes in the prevailing climate

and natural environment, with potential impacts on human health, food

security, water supply, and physical infrastructure.

Resilience includes data on the capacity of human systems to cope with

the impacts of climate change, such as economic capacity, institutional

capacity, and extent of public infrastructure.

GHG Emissions and Energy Use includes data on the emissions of

greenhouse gases (GHG), energy use, including measures of energy

efficiency and carbon intensity of economy.

National-Level Actions includes data that summarize actions being

taken to address and respond to climate change at the national and

international levels. Additional information is included in the “Summary

of National Actions” tables in the appendices.

Carbon Markets includes data that summarize project activities under

Joint Implementation and the Clean Development Mechanism, two of the

flexibility mechanisms set forth under the Kyoto Protocol.

The data in this book are for the most recent year available. Regional

aggregates include data for low- and middle-income economies only. No

aggregate is calculated if missing data exceed specific thresholds by

indicator. See Statistical methods in World Development Indicators 2011

for more information.

Symbols used:

0 or 0.0 indicates zero or small enough that the number rounds to

zero at the displayed number of decimal places.

.. indicates that data are not available.

n/a or blank indicates not applicable, or for an aggregate, not analytically

meaningful.

$ indicates current U.S. dollars.

Data are shown for economies with populations greater than 30,000 or for

smaller economies if they are members of the World Bank. This publication

also includes three additional economies: Cook Islands, Nauru, and Niue.

The word country (used interchangeably with economy) does not imply

political independence or official recognition by the World Bank but refers

to any economy for which the authorities report separate social or economic

statistics.

The cutoff date for data was October 21, 2011.

1The Little Data Book on Climate Change 2011

The country composition of regions is based on the World Bank’s analytical

regions and may differ from common geographic usage.

East Asia and Pacific

American Samoa, Cambodia, China, Cook Islands, Fiji, Indonesia, Kiribati,

Democratic Republic of Korea, Lao People’s Democratic Republic,

Malaysia, Marshall Islands, Federated States of Micronesia, Mongolia,

Myanmar, Nauru, Nuie, Palau, Papua New Guinea, Philippines, Samoa,

Solomon Islands, Thailand, Timor-Leste, Tonga, Tuvalu, Vanuatu, Vietnam.

Europe and Central Asia

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria,

Georgia, Kazakhstan, Kosovo, Kyrgyz Republic, Latvia, Lithuania, Former

Yugoslav Republic of Macedonia, Moldova, Montenegro, Romania,

Russian Federation, Serbia, Tajikistan, Turkey, Turkmenistan, Ukraine,

Uzbekistan.

Latin America and the Caribbean

Antigua and Barbuda, Argentina, Belize, Bolivia, Brazil, Chile, Colombia,

Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador,

Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicara-

gua, Panama, Paraguay, Peru, St. Kitts and Nevis, St. Lucia, St. Vincent

and the Grenadines, Suriname, Uruguay, República Bolivariana de

Venezuela.

Middle East and North Africa

Algeria, Djibouti, Arab Republic of Egypt, Islamic Republic of Iran, Iraq,

Jordan, Lebanon, Libya, Morocco, Syrian Arab Republic, Tunisia, West

Bank and Gaza, Republic of Yemen.

South Asia

Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, Sri

Lanka.

Sub-Saharan Africa

Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde,

Central African Republic, Chad, Comoros, Democratic Republic of Congo,

Republic of Congo, Côte d’Ivoire, Eritrea, Ethiopia, Gabon, The Gambia,

Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar,

Malawi, Mali, Mauritania, Mauritius, Mayotte, Mozambique, Namibia,

Niger, Nigeria, Rwanda, São Tomé and Príncipe, Senegal, Seychelles,

Sierra Leone, Somalia, South Africa, Sudan, Swaziland, Tanzania, Togo,

Uganda, Zambia, Zimbabwe.

Regional tables

2 2011 The Little Data Book on Climate Change

Exposure to ImpactsLand area below 5m (% of land area)Population below 5m (% of total)Population in urban agglomerations > 1 million (%)Urban pop. growth (avg. annual %, 1990–2010)Droughts, fl oods, extreme temps (% pop. avg., 1990–2009)Annual freshwater withdrawals (% of internal resources)Agricultural land under irrigation (% of total ag. land)Population living below $1.25 a day (% of total)Nationally terrestrial protected areas (% of total land area)Under-fi ve mortality rate (per 1,000)Child malnutrition, underweight (% of under age fi ve)Malaria incidence rate (per 100,000 people)

ResilienceAccess to improved sanitation (% of total pop.)Access to improved water source (% of total pop.)Cereal yield (kg. per hectare)Access to electricity (% of total population)Paved roads (% of total roads)Health workers (per 1,000 people)Foreign direct investment, net infl ows (% of GDP)Invest. in infrastructure w/private participation ($ millions)Disaster risk reduction progress score (1–5 scale; 5 = best)Ease of doing business (ranking 1–183; 1 = best)Public sector mgmt & institutions avg. (1–6 scale; 6 = best)Primary completion rate, total (% of relevant age group)Ratio of girls to boys in primary & secondary school (%)

GHG Emissions and Energy UseCO2 emissions per capita (metric tons)CO2 emissions per units of GDP (kg/$1,000 of 2005 PPP $)CO2 emissions, total (MtCO2)GHG net emissions/removals by LUCF (MtCO2e)Methane (CH4) emissions, total (MtCO2e)Nitrous oxide (N2O) emissions, total (MtCO2e)Other GHG emissions, total (MtCO2e)Energy use per capita (kilograms of oil equivalent)Energy use per units of GDP (kg oil eq./$1,000 of 2005 PPP $)

ClimateAverage daily min/max temperature (1961–90, Celsius)Projected annual temperature change (2045–65, Celsius)Average annual precipitation (1961–90, mm)Projected annual precipitation change (2045–65, mm)Projected change in annual hot days/warm nightsProjected change in annual cool days/cold nights

National-Level ActionsLatest UNFCCC national communicationAnnex-I emissions reduction targetNAMA submissionNAPA submissionRenewable energy target

Carbon MarketsHosted Clean Development Mechanism (CDM) projectsIssued Certifi ed Emission Reductions (CERs) from CDM (thousands)Hosted Joint Implementation (JI) projectsIssued Emission Reduction Units (ERUs) from JI (thousands)

Population (millions) 6,840.5 GDP ($ billions) 63,044.1Pop. growth (avg. ann. %, 1990–2010) 1.3 GNI per capita (Atlas $) 9,116

1.86.6202.1

8.8....

12.558

21.44,601

6187

3,56674.149.14.42.1

..

8896

4.6485.4

30,649

7,1362,853

7241,803182.9

World









2.510.3

..3.3

10.8..

16.814.9

249.0

525

5988

4,86090.815.9

2.83.0

14,638

97103

4.3827.18,259

1,928707

..1,436259.5

East Asia & Pacific

4 2011 The Little Data Book on Climate Change4 2011 The Little Data Book on Climate Change







Population (millions) 405.1 GDP ($ billions) 3,055.0Pop. growth (avg. ann. %, 1990–2010) 0.2 GNI per capita (Atlas $) 7,269

2.53.018

0.3

6.5..

3.77.523

..

..

8995

2,475..

85.89.92.8

22,652

9597

7.7708.03,110

93721476

2,833276.8

Europe & Central Asia

5The Little Data Book on Climate Change 2011 5The Little Data Book on Climate Change 2011








1.53.8352.0

2.0..

8.120.8

233.8

206

7993

3,33793.428.16.92.3

33,064

102102

2.8285.61,584

1,009442

211,245130.6

Latin America & Caribbean









1.49.7202.5

121.9..

3.64.034

6.8..

8487

2,51292.974.33.62.9

5,854

8893

3.8604.61,230

287747

1,399213.9

Middle East & North Africa









1.54.4132.7

50.6..

40.36.167

42.51,127

3687

2,72862.158.9

1.71.3

73,548

8692

1.3504.61,970

846268

9532

193.5

South Asia









0.42.014

4.0

3.2..

50.911.712124.6

26,113

3160

1,29732.518.3

1.23.6

11,957

6789

0.8428.6

685

590334

..689

308.4

Sub-Saharan Africa


For operational and analytical purposes, the World Bank’s main criterion

for classifying economies is gross national income (GNI) per capita. Each

economy in The Little Data Book on Climate Change is classified as low

income, middle income, or high income. Low- and middle-income economies

are sometimes referred to as developing economies. The use of the term is

convenient; it is not intended to imply that all economies in the group are

experiencing similar development or that other economies have reached a

preferred or final stage of development. Classification by income does not

necessarily reflect development status.

Note: Classifications are fixed during the World Bank’s fiscal year (ending on

June 30). Thus, countries remain in the categories in which they are classified

irrespective of any revisions to their per capita income data.

Low-income economies are those with a 2010 GNI per capita of $1,005

or less.

Middle-income economies are those with a 2010 GNI per capita of more

than $1,006 but less than $12,276. Lower-middle-income and upper-middle-

income economies are separated at a 2010 GNI per capita of $3,975.

High-income economies are those with a GNI per capita of $12,276 or more.

Euro area includes the member states of the Economic and Monetary Union

of the European Union that have adopted the euro as their currency: Austria,

Belgium, Cyprus, Estonia, Finland, France, Germany, Greece, Ireland, Italy,

Luxembourg, Malta, Netherlands, Portugal, Slovak Republic, Slovenia, and

Spain.

Small island developing states included in this publication are American

Samoa, Antigua and Barbuda, Aruba, The Bahamas, Barbados, Belize,

Cape Verde, Comoros, Cook Islands, Cuba, Dominica, Dominican Republic,

Fiji, French Polynesia, Grenada, Guam, Guinea-Bissau, Guyana, Haiti,

Jamaica, Kiribati, Maldives, Marshall Islands, Mauritius, Federated States

of Micronesia, Nauru, New Caledonia, Niue, Northern Mariana Islands, Palau,

Papua New Guinea, Puerto Rico, Samoa, São Tomé and Príncipe, Seychelles,

Singapore, Solomon Islands, St. Kitts and Nevis, St. Lucia, St. Vincent and

the Grenadines, Suriname, Timor-Leste, Tonga, Trinidad and Tobago, Tuvalu,

Vanuatu, and Virgin Islands (U.S.).

Income & other group tables








Population (millions) 796.3 GDP ($ billions) 413.9Pop. growth (avg. ann. %, 1990–2010) 2.3 GNI per capita (Atlas $) 523

0.75.1113.7

3.7....

10.6108

28.316,659

3563

2,04723.014.10.73.2

4,471

6591

0.3270.2

219

436209

..365

303.9

Low income









1.86.518

2.5

9.1....

12.551

20.92,574

5688

3,25681.645.0

3.52.6

138,442

9297

3.5622.9

16,604

5,1601,830

2611,268224.6

Middle income









1.76.514

2.8

18.7....

9.569

31.74,874

4584

2,75467.329.3

2.62.4

81,789

8893

1.6523.93,744

1,705687

17680

217.9

Lower middle income









1.86.5222.3

5.6....

13.6204.180

6892

3,69098.050.5

4.52.7

26,166

98103

5.3659.4

12,860

3,4551,144

2431,848227.1

Upper middle income









1.66.317

2.6

8.4..

25.212.2

6322.5

4,665

5484

3,06573.729.3

3.12.7

144,800

8796

3.0612.5

16,822

5,5972,040

2641,173226.1

Low and middle income









2.27.7

..1.0

10.4....

13.46....

100100

5,445..

87.310.71.8

..

97100

11.9354.4

13,285

1,539813460

4,944147.0

High income









3.68.5180.6

21.5....

15.54....

100100

5,817..

91.811.3

2.7..

10199

8.0260.02,633

31821984

3,642122.2

Euro area








Population (millions) 63.2 GDP ($ billions) 575.3Pop. growth (avg. ann. %, 1990–2010) 1.3 GNI per capita (Atlas $) 8,226

5.49.8

..2.0

1.4....

6.7699.7

..

6780

1,92281.449.9

..12.2186

..

..

3.7351.5

230

3312

..1,416143.0

Small island dev. states



China

Data for China do not include data for Hong Kong SAR, China; Macao SAR,

China; or Taiwan, China.

Cyprus

GNI and GDP data and data calculated using GNI and GDP data refer to the

area controlled by the government of the Republic of Cyprus.

Georgia

GNI, GDP, and population data and data calculated using GNI, GDP and

population data exclude Abkhazia and South Ossetia.

Kosovo, Montenegro, and Serbia

Where available, data for each country are shown separately. However, some

indicators for Serbia prior to 2006 include data for Montenegro. Moreover,

data for most indicators for Serbia from 1999 onward exclude data for

Kosovo, which in 1999 became a territory under international administration

pursuant to UN Security Council Resolution 1244 (1999). Kosovo became

a member of the World Bank on June 29, 2009.

Moldova

GNI, GDP and population data and data calculated using GNI, GDP population

data exclude Transnistria.

Morocco

GNI and GDP data and data calculated using GNI and GDP data include

Former Spanish Sahara.

Netherlands Antilles

Netherlands Antilles ceased to exist on October 10, 2010. Curaçao and Sint

Maarten became countries within the Kingdom of the Netherlands. Bonaire,

St. Eustatius, and Saba became special municipalities of the Netherlands.

Sudan and South Sudan

The Republic of South Sudan became an independent state on July 9, 2011.

Data reported for Sudan include South Sudan.

Tanzania

GNI and GDP data and data calculated using GNI and GDP data refer to

mainland Tanzania only.

For more information, see World Development Indicators 2011 or http://

data.worldbank.org/.

Country tables









Countrydata

SouthAsia

Lowincome

0.0 1.5 0.70.0 4.4 5.111 13 114.5 2.7 3.71.1

42.0 50.6 3.74.8 .. ..

.. 40.3 ..0.4 6.1 10.6

149 67 10832.9 42.5 28.3

2,428 1,127 16,659

37 36 3548 87 63

2,031 2,728 2,04715.6 62.1 23.029.3 58.9 14.1

0.7 1.7 0.72.6 1.3 3.260 73,548 4,471

..1602.439 86 6562 92 91

0.0 1.3 0.328.5 504.6 270.2

0.8 1,970 219.... 846 436.. 268 209.. 9 .... 532 365.. 193.5 303.9

6 / 202.3 to 3.6

327–58 to 13

3 / 7–1 / –1

..n/aYesYes

..

..

..n/an/a

Afghanistan





GHG Emissions and Energy UseCO2 emissions per capita (metric tons)CO2 emissions per units of GDP (kg/$1,000 of 2005 PPP $)CO2 emissions, total (MtCO2)GHG net emissions/removals by LUCF (1994, MtCO2e)Methane (CH4) emissions, total (MtCO2e)Nitrous oxide (N2O) emissions, total (MtCO2e)Other GHG emissions, total (MtCO2e)Energy use per capita (kilograms of oil equivalent)Energy use per units of GDP (kg oil eq./$1,000 of 2005 PPP $)




Population (millions) 3.2 GDP ($ billions) 11.8Pop. growth (avg. ann. %, 1990–2010) –0.1 GNI per capita (Atlas $) 3,960

Countrydata

Europe &Central

Asia

Uppermiddleincome

5.0 2.5 1.88.2 3.0 6.5

.. 18 221.3 0.3 2.35.36.8 6.5 5.6

16.8 .. ..<2 3.7 ..9.8 7.5 13.618 23 20

6.6 .. 4.1.. .. 80

98 89 6897 95 92

4,315 2,475 3,690.. .. 98.0

39.0 85.8 50.55.2 9.9 4.59.4 2.8 2.7

137 22,652 26,166..

823.390 95 98

100 97 103

1.3 7.7 5.3181.8 708.0 659.4

4.2 3,110 12,8601.52.4 937 3,4551.0 214 1,1440.1 76 243

538 2,833 1,84872.3 276.8 227.1

6 / 171.9 to 2.9

996–147 to –44

3 / 7–2 /–1

11/23/2009 (2nd)n/a

..n/aYes

10

n/an/a

Albania










Countrydata

MiddleEast &

N. Africa

Uppermiddleincome

0.4 1.4 1.83.5 9.7 6.5

8 20 222.9 2.5 2.30.0

54.6 121.9 5.62.1 .. ..6.8 3.6 ..6.3 4.0 13.636 34 203.7 6.8 4.1

.. .. 80

95 84 6883 87 92

1,654 2,512 3,69099.3 92.9 98.073.5 74.3 50.5

3.2 3.6 4.51.4 2.9 2.7

237 5,854 26,1663.5

148..

91 88 9898 93 103

3.2 3.8 5.3438.8 604.6 659.4111.3 1,230 12,860

-7.954.2 287 3,455

4.9 74 1,1440.5 7 243

1,138 1,399 1,848153.5 213.9 227.1

15 / 302.4 to 3.0

89–39 to 4

4 / 8–2 / –2

11/25/2010 (2nd)n/aYesn/aYes

..

..n/an/a

Algeria









Population (thousands) 68.4 GDP ($ millions) ..Pop. growth (avg. ann. %, 1990–2010) 1.9 GNI per capita (Atlas $) ..

Countrydata

EastAsia &Pacifi c

Uppermiddleincome

17.9 2.5 1.89.9 10.3 6.5

.. .. 222.6 3.3 2.30.0

.. 10.8 5.6

.. .. ..

.. 16.8 ..0.3 14.9 13.6

.. 24 20

.. 9.0 4.1

.. 525 80

.. 59 68

.. 88 92

.. 4,860 3,690

.. 90.8 98.0

.. 15.9 50.5

.. 2.8 4.5

.. 3.0 2.7

.. 14,638 26,166

..

..

..

.. 97 98

.. 103 103

.. 4.3 5.3

.. 827.1 659.4

.. 8,259 12,860

..

.. 1,928 3,455

.. 707 1,144

.. .. 243

.. 1,436 1,848

.. 259.5 227.1

..1.3 to 1.6

..–40 to 237

16 / 25–3 / –3

n/an/an/an/a

..

n/an/an/an/a

American Samoa








Population (thousands) 84.9 GDP ($ billions) 3.7Pop. growth (avg. ann. %, 1990–2010) 2.4 GNI per capita (Atlas $) 41,750

Countrydata

Highincome

0.0 2.20.0 7.7

.. ..2.0 1.0

..

.. 10.4

.. ..

.. ..6.0 13.4

4 6.. .... ..

100 100100 100

.. 5,445

.. ..

.. 87.37.9 10.7

.. 1.8

.. ..

..

..

..101 97104 100

6.5 11.9.. 354.4

0.5 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

3 / 121.8 to 2.8

973–113 to –22

4 / 7–2 / –2

n/an/an/an/a

..

n/an/an/an/a

Andorra









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.2 0.4 1.72.1 2.0 6.525 14 14

5.3 4.0 2.81.00.4 3.2 18.7

.. .. ..54.3 50.9 ..12.4 11.7 9.5161 121 6927.5 24.6 31.7

21,593 26,113 4,874

57 31 4550 60 84

588 1,297 2,75426.2 32.5 67.310.4 18.3 29.31.4 1.2 2.6

11.8 3.6 2.4534 11,957 81,789

..1722.4

.. 67 88

.. 89 93

1.4 0.8 1.6245.3 428.6 523.9

24.4 685 3,744..

45.4 590 1,70538.9 334 687

0.0 .. 17641 689 680

116.9 308.4 217.9

15 / 282.1 to 2.7

1,010–89 to 75

7 / 20–2 / –3

..n/a

..

..

..

..

..n/an/a

Angola









Countrydata

LatinAmerica &the Carib.

Uppermiddleincome

32.4 1.5 1.832.3 3.8 6.5

.. 35 221.0 2.0 2.3

..3.3 2.0 5.6

.. .. ..

.. 8.1 ..7.0 20.8 13.6

8 23 20.. 3.8 4.1.. 206 80

95 79 6891 93 92

1,737 3,337 3,690.. 93.4 98.0

33.0 28.1 50.5.. 6.9 4.5

5.7 2.3 2.76 33,064 26,166

2.857

..95 102 9897 102 103

5.1 2.8 5.3274.0 285.6 659.4

0.4 1,584 12,860-0.1

.. 1,009 3,455

.. 442 1,144

.. 21 2431,699 1,245 1,848

89.6 130.6 227.1

23 / 301.3 to 1.7

2,420–104 to 37

13 / 23–3 / –3

9/10/2001 (1st)n/a

Yes, with Goaln/a

..

..

..n/an/a

Antigua and Barbuda









Countrydata


Uppermiddleincome

1.2 1.5 1.84.5 3.8 6.539 35 221.4 2.0 2.30.2

11.8 2.0 5.61.1 .. ..<2 8.1 ..5.4 20.8 13.614 23 20

2.3 3.8 4.10 206 80

90 79 6897 93 92

3,167 3,337 3,69097.2 93.4 98.030.0 28.1 50.53.2 6.9 4.51.7 2.3 2.7

1,283 33,064 26,1663.3113

..105 102 98105 102 103

4.8 2.8 5.3364.9 285.6 659.4192.4 1,584 12,860-43.3101.8 1,009 3,45549.8 442 1,144

0.8 21 2431,853 1,245 1,848139.6 130.6 227.1

8 / 211.4 to 2.1

591–57 to 52

3 / 7–1 / –1


247,697

n/an/a

Argentina









Countrydata

Europe &Central

Asia

Lowermiddleincome

0.0 2.5 1.70.0 3.0 6.536 18 14

-1.0 0.3 2.80.5

41.2 6.5 18.78.9 .. ..<2 3.7 ..8.0 7.5 9.520 23 69

4.2 .. 31.70 .. 4,874

90 89 4596 95 84

2,230 2,475 2,754.. .. 67.3

90.5 85.8 29.38.6 9.9 2.66.2 2.8 2.498 22,652 81,7893.0553.798 95 88

103 97 93

1.8 7.7 1.6320.9 708.0 523.9

5.5 3,110 3,744..

3.0 937 1,7050.6 214 6870.3 76 17

843 2,833 680175.5 276.8 217.9

1 / 132.1 to 3.3

562–75 to –7

3 / 6–1 / –1

9/7/2010 (2nd)n/aYesn/a

..

512

n/an/a

Armenia









Countrydata

Highincome

29.6 2.229.6 7.7

.. ..2.4 1.0

..

.. 10.4

.. ..

.. ..0.1 13.4

.. 6

.. ..

.. ..

.. 100100 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..95 9799 100

21.7 11.9.. 354.4

2.3 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

..1.5 to 2.1

..–121 to 24

14 / 27–3 / –3

n/an/an/an/a

..

n/an/an/an/a

Aruba






National-Level ActionsLatest UNFCCC national communicationAnnex-I emissions reduction target (base year: 2000)NAMA submissionNAPA submissionRenewable energy target



Countrydata

Highincome

1.1 2.27.2 7.758 ..1.6 1.03.04.9 10.40.4 ..

.. ..10.5 13.4

5 6.. .... ..

100 100100 100

1,764 5,445.. .... 87.3

12.6 10.72.9 1.8

.. ..4.015

..

.. 9798 100

18.6 11.9539.6 354.4399.2 13,285

54.0126.5 1,53963.0 813

6.5 4605,636 4,944174.9 147.0

15 / 281.7 to 2.4

535–67 to 54

4 / 9–2 / –2

2/12/2010 (5th)5% / 25%

n/an/aYes

n/an/a

..

..

Australia









Countrydata

Highincome

0.0 2.20.0 7.720 ..0.6 1.00.06.5 10.41.4 ..

.. ..22.9 13.4

4 6.. .... ..

100 100100 100

6,133 5,445.. ..

100.0 87.34.7 10.7-7.1 1.8

.. ..

..32

..97 9797 100

8.1 11.9224.4 354.4

67.7 13,285-17.5

8.5 1,5394.4 8132.3 460

3,944 4,944111.8 147.0

2 / 101.9 to 2.9

1,110–70 to 27

3 / 5–1 / –2

2/16/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Austria









Countrydata

Europe &Central

Asia

Uppermiddleincome

20.0 2.5 1.829.8 3.0 6.5

22 18 221.0 0.3 2.31.1

150.5 6.5 5.629.5 .. ..

<2 3.7 ..7.1 7.5 13.646 23 208.4 .. 4.1

1 .. 80

45 89 6880 95 92

2,607 2,475 3,690.. .. 98.0

50.6 85.8 50.512.2 9.9 4.5

1.1 2.8 2.7124 22,652 26,166

..663.192 95 98

102 97 103

5.4 7.7 5.3670.4 708.0 659.4

47.1 3,110 12,860–1.136.6 937 3,455

2.6 214 1,1440.1 76 243

1,338 2,833 1,848155.7 276.8 227.1

7 / 171.9 to 3.1

447–58 to 3

3 / 6–1 / –1

6/7/2011 (2nd)n/a

..n/a

..

10

n/an/a

Azerbaijan









Countrydata

Highincome

72.0 2.246.5 7.7

.. ..1.7 1.0

..

.. 10.4

.. ..

.. ..13.7 13.4

16 6.. .... ..

100 10097 100

2,196 5,445.. ..

57.4 87.3.. 10.7

11.4 1.8.. ....

85..

95 97101 100

6.5 11.9263.6 354.4

2.2 13,285.... 1,539.. 813.. 460

2,156 4,94485.6 147.0

20 / 301.4 to 1.7

1,292–96 to 74

10 / 16–2 / –2

11/5/2001 (1st)n/a

..n/a

..

00

n/an/a

Bahamas, The









Countrydata

Highincome

39.0 2.266.6 7.7

.. ..4.7 1.0

..6,375.0 10.4

.. ..

.. ..1.3 13.410 6

.. ..

.. ..

.. 100

.. 100

.. 5,44599.4 ..81.5 87.35.2 10.71.2 1.8

.. ..

..38

..101 97101 100

21.4 11.9899.2 354.4

22.5 13,285..

2.8 1,5390.1 8130.3 460

8,096 4,944369.8 147.0

21 / 342.1 to 3.0

83–19 to 4

5 / 9–2 / –2

4/20/2005 (1st)n/a

..n/a

..

..

..n/an/a

Bahrain









Countrydata

SouthAsia

Lowincome

14.1 1.5 0.714.0 4.4 5.1

14 13 113.5 2.7 3.74.6

.. 50.6 3.752.6 .. ..49.6 40.3 ..

1.6 6.1 10.648 67 108

41.3 42.5 28.31,510 1,127 16,659

53 36 3580 87 63

4,140 2,728 2,04741.0 62.1 23.09.5 58.9 14.10.6 1.7 0.71.0 1.3 3.2617 73,548 4,4714.0

1223.061 86 65

108 92 91

0.3 1.3 0.3235.8 504.6 270.2

46.5 1,970 2197.8

92.4 846 43621.4 268 2090.0 9 ..

201 532 365141.9 193.5 303.9

20 / 301.7 to 2.4

2,665–126 to 120

3 / 12–2 / –2

11/12/2002 (1st)n/a

..YesYes

20

n/an/a

Bangladesh









Countrydata

Highincome

15.7 2.215.7 7.7

.. ..1.4 1.0

..76.1 10.4

.. ..

.. ..0.1 13.420 6

.. ..

.. ..

100 100100 100

2,640 5,445.. ..

100.0 87.36.7 10.72.5 1.8

.. ..4.0

..

..

.. 97

.. 100

5.0 11.9267.5 354.4

1.4 13,2850.0

.. 1,539

.. 813

.. 4601,476 4,94479.4 147.0

22 / 301.4 to 1.7

2,066–154 to 14

14 / 24–3 / –3

10/30/2001 (1st)n/a

..n/a

..

..

..n/an/a

Barbados









Countrydata

Europe &Central

Asia

Uppermiddleincome

0.0 2.5 1.80.0 3.0 6.520 18 22

0.2 0.3 2.30.0

11.7 6.5 5.60.5 .. ..<2 3.7 ..7.3 7.5 13.6

6 23 201.3 .. 4.1

.. .. 80

93 89 68100 95 92

3,374 2,475 3,690.. .. 98.0

88.6 85.8 50.55.1 9.9 4.52.6 2.8 2.7

1,045 22,652 26,166..

69..

96 95 98102 97 103

6.5 7.7 5.3556.9 708.0 659.4

62.8 3,110 12,860–30.011.5 937 3,45511.7 214 1,1440.5 76 243

2,815 2,833 1,848236.8 276.8 227.1

2 / 102.2 to 3.1

6188 to 70

2 / 5–2 / –2

5/3/2010 (5th)5% to 10%

n/an/a

..

n/an/a

..

..

Belarus









Countrydata

Highincome

9.2 2.214.3 7.7

18 ..0.5 1.00.0

.. 10.40.4 ..

.. ..0.9 13.4

4 6.. .... ..

100 100100 100

9,711 5,445.. ..

78.2 87.33.3 10.7

13.4 1.8.. ....

28..

87 9798 100

9.8 11.9291.8 354.4104.9 13,285

–1.610.1 1,5396.6 8132.1 460

5,221 4,944159.1 147.0

6 / 141.4 to 2.4

847–64 to 29

3 / 5–1 / –2

3/10/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Belgium









Countrydata


Lowermiddleincome

9.5 1.5 1.715.8 3.8 6.5

.. 35 143.5 2.0 2.80.80.9 2.0 18.7

.. .. ..12.4 8.1 ..27.9 20.8 9.5

17 23 694.9 3.8 31.7210 206 4,874

90 79 4599 93 84

2,972 3,337 2,754.. 93.4 67.3

17.0 28.1 29.32.8 6.9 2.66.7 2.3 2.422 33,064 81,789

..93

..106 102 88101 102 93

1.3 2.8 1.6212.0 285.6 523.9

0.4 1,584 3,744–4.0

.. 1,009 1,705

.. 442 687

.. 21 17571 1,245 680

92.1 130.6 217.9

21 / 301.7 to 2.6

2,191–189 to 16

8 / 21–1 / –2

9/16/2002 (1st)n/a

..n/a

..

..

..n/an/a

Belize









Countrydata

Sub-SaharanAfrica

Lowincome

1.2 0.4 0.714.1 2.0 5.1

.. 14 114.1 4.0 3.70.91.3 3.2 3.7

.. .. ..47.3 50.9 ..23.8 11.7 10.6115 121 108

20.2 24.6 28.335,555 26,113 16,659

12 31 3575 60 63

1,424 1,297 2,04724.8 32.5 23.0

9.5 18.3 14.10.8 1.2 0.71.7 3.6 3.2

394 11,957 4,471..

1753.362 67 6573 89 91

0.5 0.8 0.3345.0 428.6 270.2

4.1 685 219–47.5

4.1 590 4362.9 334 2090.0 .. ..

404 689 365284.0 308.4 303.9

22 / 332.0 to 2.5

1,039–207 to 97

5 / 19–2 / –3

10/21/2002 (1st)n/aYesYes

..

..

..n/an/a

Benin








Population (thousands) 64.6 GDP ($ billions) 5.7Pop. growth (avg. ann. %, 1990–2010) 0.3 GNI per capita (Atlas $) ..

Countrydata

Highincome

82.3 2.282.3 7.7

.. ..0.3 1.0

..

.. 10.4

.. ..

.. ..5.6 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.70.6 1.8

.. ..

..

..

..93 97

109 100

6.1 11.9.. 354.4

0.4 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

17 / 261.3 to 1.7

1,506–97 to 60

6 / 9–2 / –2

n/an/an/an/a

..

n/an/an/an/a

Bermuda









Countrydata

SouthAsia

Lowermiddleincome

0.0 1.5 1.70.0 4.4 6.5

.. 13 145.4 2.7 2.80.0

.. 50.6 18.76.8 .. ..

26.2 40.3 ..28.3 6.1 9.5

56 67 6912.0 42.5 31.7100 1,127 4,874

65 36 4592 87 84

2,159 2,728 2,754.. 62.1 67.3

62.0 58.9 29.30.3 1.7 2.60.8 1.3 2.4201 73,548 81,789

..1423.988 86 88

100 92 93

1.0 1.3 1.6242.4 504.6 523.9

0.7 1,970 3,744–3.5

.. 846 1,705

.. 268 687

.. 9 17354 532 68084.4 193.5 217.9

1 / 141.9 to 3.0

1,667–112 to 298

3 / 9–2 /–2

11/13/2000 (1st)n/a

Yes, with GoalYes

..

20

n/an/a

Bhutan









Countrydata


Lowermiddleincome

0.0 1.5 1.70.0 3.8 6.533 35 142.9 2.0 2.81.30.7 2.0 18.7

.. .. ..13.6 8.1 ..18.2 20.8 9.5

54 23 694.5 3.8 31.7

365 206 4,874

25 79 4586 93 84

2,089 3,337 2,75477.5 93.4 67.3

7.0 28.1 29.33.4 6.9 2.63.1 2.3 2.437 33,064 81,789

2.31533.399 102 8899 102 93

1.3 2.8 1.6319.8 285.6 523.912.8 1,584 3,74448.030.3 1,009 1,70515.1 442 6870.0 21 17

638 1,245 680150.2 130.6 217.9

15 / 282.1 to 3.0

1,146–91 to 137

5 / 17–2 / –2

12/2/2009 (2nd)n/a

..n/a

..

41,118

n/an/a

Bolivia








Population (millions) 3.8 GDP ($ billions) 16.9Pop. growth (avg. ann. %, 1990–2010) -0.7 GNI per capita (Atlas $) 4,790

Countrydata

Europe &Central

Asia

Uppermiddleincome

0.1 2.5 1.80.1 3.0 6.5

.. 18 220.4 0.3 2.30.5

.. 6.5 5.6

.. .. ..<2 3.7 ..0.6 7.5 13.6

8 23 201.6 .. 4.1

.. .. 80

95 89 6899 95 92

4,539 2,475 3,690.. .. 98.0

52.3 85.8 50.56.1 9.9 4.51.4 2.8 2.7

125 22,652 26,166..

1253.3

.. 95 98102 97 103

8.3 7.7 5.31,108.3 708.0 659.4

31.3 3,110 12,860-7.42.7 937 3,4551.2 214 1,1440.6 76 243

1,580 2,833 1,848217.7 276.8 227.1

5 / 151.9 to 3.0

1,028–116 to -7

3 / 6–2 / –2

5/26/2010 (1st)n/a

..n/a

..

..

..n/an/a

Bosnia and Herzegovina









Countrydata

Sub-SaharanAfrica

Uppermiddleincome

0.0 0.4 1.80.0 2.0 6.5

.. 14 223.8 4.0 2.30.78.1 3.2 5.60.0 .. ..

31.2 50.9 ..30.9 11.7 13.6

48 121 2010.7 24.6 4.1587 26,113 80

60 31 6895 60 92

569 1,297 3,69045.4 32.5 98.032.6 18.3 50.53.2 1.2 4.53.6 3.6 2.759 11,957 26,1663.054

..95 67 98

100 89 103

2.5 0.8 5.3197.3 428.6 659.4

4.8 685 12,860–38.7

4.5 590 3,4553.1 334 1,1440.0 .. 243

1,034 689 1,84887.8 308.4 227.1

14 / 292.5 to 3.3

416–106 to 24

5 / 13–2 / -2

10/22/2001 (1st)n/aYesn/aYes

..

..n/an/a

Botswana









Countrydata


Uppermiddleincome

1.2 1.5 1.84.9 3.8 6.541 35 22

2.0 2.0 2.30.51.1 2.0 5.6

.. .. ..3.8 8.1 ..

28.0 20.8 13.619 23 20

2.2 3.8 4.1210 206 80

80 79 6897 93 92

3,533 3,337 3,69098.3 93.4 98.0

5.5 28.1 50.58.2 6.9 4.52.3 2.3 2.7

16,733 33,064 26,1664.5

126..

106 102 98103 102 103

2.1 2.8 5.3214.2 285.6 659.4393.2 1,584 12,860

1,329.1492.2 1,009 3,455236.0 442 1,144

11.8 21 2431,243 1,245 1,848131.7 130.6 227.1

20 / 301.9 to 2.6

1,782–95 to 136

6 / 20–2 / –2

11/30/2010 (2nd)n/a

Yes, with Goaln/aYes

19657,990

n/an/a

Brazil









Countrydata

Highincome

3.3 2.29.2 7.7

.. ..3.0 1.0

..1.1 10.40.0 ..

.. ..42.9 13.4

7 6.. .... ..

.. 10099 100

1,291 5,44599.7 ..77.2 87.36.3 10.73.0 1.8

.. ..2.883

..104 97101 100

27.5 11.9588.2 354.4

10.6 13,285..

5.8 1,5390.6 8130.3 460

7,971 4,944176.5 147.0

23 / 311.5 to 1.9

2,722–185 to 111

15 / 27–2 / –3

..n/a

..n/a

..

..

..n/an/a

Brunei Darussalam









Countrydata

Europe &Central

Asia

Uppermiddleincome

0.4 2.5 1.81.5 3.0 6.516 18 22

-0.3 0.3 2.30.0

24.2 6.5 5.61.4 .. ..<2 3.7 ..9.1 7.5 13.613 23 201.6 .. 4.1

.. .. 80

100 89 68100 95 92

3,413 2,475 3,690.. .. 98.0

98.4 85.8 50.58.4 9.9 4.54.5 2.8 2.7

488 22,652 26,1663.559

..94 95 9897 97 103

6.6 7.7 5.3552.2 708.0 659.4

50.5 3,110 12,860–11.810.9 937 3,4554.2 214 1,1440.4 76 243

2,305 2,833 1,848202.1 276.8 227.1

6 / 161.9 to 3.1

608–127 to -21

3 / 6–1 / –1

2/12/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a28

2,556

Bulgaria









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.112 14 11

4.8 4.0 3.71.37.9 3.2 3.7

.. .. ..56.5 50.9 ..13.9 11.7 10.6176 121 108

26.0 24.6 28.345,322 26,113 16,659

11 31 3576 60 63

1,002 1,297 2,04714.6 32.5 23.04.2 18.3 14.10.8 1.2 0.70.4 3.6 3.2

299 11,957 4,471..

1503.747 67 6588 89 91

0.1 0.8 0.3113.1 428.6 270.2

1.9 685 219–1.4

.. 590 436

.. 334 209

.. .. ..

.. 689 365

.. 308.4 303.9

22 / 352.2 to 2.8

748–229 to 88

5 / 17–2 / –3

5/16/2002 (1st)n/a

..Yes

..

..

..n/an/a

Burkina Faso









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.1

.. 14 114.8 4.0 3.72.42.9 3.2 3.7

.. .. ..81.3 50.9 ..4.8 11.7 10.6142 121 108

38.9 24.6 28.348,475 26,113 16,659

46 31 3572 60 63

1,319 1,297 2,047.. 32.5 23.0

10.4 18.3 14.10.2 1.2 0.70.9 3.6 3.2

6 11,957 4,4713.31692.652 67 6593 89 91

0.0 0.8 0.362.9 428.6 270.2

0.2 685 219–15.3

.. 590 436

.. 334 209

.. .. ..

.. 689 365

.. 308.4 303.9

14 / 262.1 to 2.4

1,218–21 to 206

8 / 26–2 / –3

6/28/2010 (2nd)n/a

..YesYes

..

..n/an/a

Burundi









Countrydata

EastAsia & Pacifi c

Lowincome

3.8 2.5 0.710.6 10.3 5.1

11 .. 114.9 3.3 3.76.61.8 10.8 3.7

.. .. ..28.3 16.8 ..24.0 14.9 10.6

51 24 10828.8 9.0 28.3

1,798 525 16,659

29 59 3561 88 63

2,947 4,860 2,04724.0 90.8 23.06.3 15.9 14.11.0 2.8 0.76.9 3.0 3.2

1,775 14,638 4,471..

1382.779 97 6590 103 91

0.3 4.3 0.3175.4 827.1 270.2

4.6 8,259 219–17.920.2 1,928 436

5.8 707 2090.0 .. ..371 1,436 365

201.3 259.5 303.9

22 / 311.6 to 2.0

1,903–109 to 95

4 / 18–2 / –2


..

511

n/an/a

Cambodia









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.1 0.4 1.70.3 2.0 6.520 14 14

4.2 4.0 2.80.10.4 3.2 18.7

.. .. ..9.6 50.9 ..9.2 11.7 9.5

136 121 6916.6 24.6 31.7

27,818 26,113 4,874

47 31 4574 60 84

1,524 1,297 2,75448.7 32.5 67.3

8.4 18.3 29.31.8 1.2 2.6

–0.0 3.6 2.4575 11,957 81,789

..1612.973 67 8886 89 93

0.3 0.8 1.6138.4 428.6 523.9

5.3 685 3,74422.218.5 590 1,705

9.1 334 6870.4 .. 17

361 689 680177.0 308.4 217.9

19 / 302.1 to 2.4

1,604–71 to 115

6 / 22–2 / –2

1/31/2005 (1st)n/aYesn/a

..

20

n/an/a

Cameroon









Countrydata

Highincome

2.4 2.24.0 7.744 ..1.3 1.00.01.6 10.4

.. ..

.. ..8.0 13.4

6 6.. .... ..

100 100100 100

3,301 5,445.. ..

39.9 87.312.0 10.7

1.5 1.8.. ..

4.313

..96 9799 100

16.3 11.9455.0 354.4544.1 13,285-12.189.3 1,53940.2 81321.9 460

7,486 4,944212.4 147.0

-10 / -12.6 to 3.5

53717 to 88

2 / 4-2 / -2

3/3/2010 (5th)17%n/an/a

..

n/an/a

..

..

Canada









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

14.5 0.4 1.713.8 2.0 6.5

.. 14 143.4 4.0 2.80.06.8 3.2 18.7

.. .. ..21.0 50.9 ..2.5 11.7 9.536 121 69

.. 24.6 31.723 26,113 4,874

54 31 4584 60 84

224 1,297 2,754.. 32.5 67.3

69.0 18.3 29.31.9 1.2 2.66.8 3.6 2.416 11,957 81,789

3.51194.087 67 88

103 89 93

0.6 0.8 1.6189.7 428.6 523.9

0.3 685 3,744–0.1

.. 590 1,705

.. 334 687

.. .. 17213 689 68067.4 308.4 217.9

20 / 271.4 to 1.8

424–32 to 12

8 / 15–3 / –3

11/13/2000 (1st)n/a

..YesYes

00

n/an/a

Cape Verde









Countrydata

Highincome

60.3 2.259.6 7.7

.. ..3.8 1.0

..

.. 10.4

.. ..

.. ..8.7 13.4

.. 6

.. ..

.. ..

96 10095 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..3.0

..

..84 97

101 100

10.1 11.9.. 354.4

0.6 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

..1.4 to 1.8

..–122 to 39

11 / 18–2 / –2

n/an/an/an/a

..

n/an/an/an/a

Cayman Islands









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.1

.. 14 112.3 4.0 3.70.20.0 3.2 3.7

.. .. ..62.8 50.9 ..14.7 11.7 10.6159 121 10821.8 24.6 28.3

35,786 26,113 16,659

34 31 3567 60 63

948 1,297 2,047.. 32.5 23.0.. 18.3 14.1

0.5 1.2 0.73.6 3.6 3.210 11,957 4,471

..1822.540 67 6569 89 91

0.1 0.8 0.387.8 428.6 270.20.3 685 219

–139.3.. 590 436.. 334 209.. .. .... 689 365.. 308.4 303.9

18 / 322.1 to 2.4

1,343–73 to 100

5 / 23–2 / –2


..

..

..n/an/a

Central African Republic









Countrydata income



Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.1

.. 14 114.5 4.0 3.72.72.4 3.2 3.7

.. .. ..61.9 50.9 ..

9.4 11.7 10.6173 121 108

33.9 24.6 28.339,508 26,113 16,659

9 31 3550 60 63

880 1,297 2,047.. 32.5 23.0

0.8 18.3 14.10.3 1.2 0.7

10.3 3.6 3.2345 11,957 4,471

..1832.233 67 6564 89 91

0.0 0.8 0.336.8 428.6 270.2

0.5 685 219–46.2

.. 590 436

.. 334 209

.. .. ..

.. 689 365

.. 308.4 303.9

19 / 352.3 to 2.6

322–79 to 41

5 / 14–2 / –2


..

..

..n/an/a

Chad









Countrydata

Highincome

.. 2.2

.. 7.7

.. ..0.5 1.0

..

.. 10.40.0 ..

.. ..

.. 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

.. 11.9

.. 354.4

.. 13,285

..

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

..

..

..

..

..

..

n/an/an/an/a

..

n/an/an/an/a


Channel Islands









Countrydata


Uppermiddleincome

3.1 1.5 1.81.6 3.8 6.535 35 221.6 2.0 2.30.31.3 2.0 5.65.6 .. ..<2 8.1 ..

16.5 20.8 13.69 23 20

0.5 3.8 4.1.. 206 80

96 79 6896 93 92

5,472 3,337 3,69098.5 93.4 98.020.2 28.1 50.5

1.3 6.9 4.57.4 2.3 2.7

1,266 33,064 26,1662.839

..95 102 9899 102 103

4.4 2.8 5.3325.0 285.6 659.4

73.1 1,584 12,860–9.218.1 1,009 3,455

8.1 442 1,1440.0 21 243

1,826 1,245 1,848134.3 130.6 227.1

4 / 131.2 to 1.9

716–118 to 24

4 / 7–2 / –2

2/8/2000 (1st)n/a


517,307

n/an/a

Chile









Countrydata

EastAsia &Pacifi c

Uppermiddleincome

1.4 2.5 1.88.1 10.3 6.518 .. 22

3.3 3.3 2.38.0

19.7 10.8 5.610.2 .. ..15.9 16.8 ..16.6 14.9 13.6

18 24 204.5 9.0 4.1

3 525 80

55 59 6889 88 92

5,450 4,860 3,69099.4 90.8 98.053.5 15.9 50.5

2.8 2.8 4.53.1 3.0 2.7

942 14,638 26,166..

91.... 97 98

105 103 103

5.3 4.3 5.3929.3 827.1 659.4

7,031.9 8,259 12,860–407.5

1,333.1 1,928 3,455467.2 707 1,144141.4 .. 2431,695 1,436 1,848273.2 259.5 227.1

1 / 132.1 to 3.0

627–37 to 86

3 / 6–1 / –2

12/10/2004 (1st)n/a


1,604430,696

n/an/a

China









Countrydata


Uppermiddleincome

0.9 1.5 1.82.0 3.8 6.538 35 222.1 2.0 2.30.70.6 2.0 5.6

.. .. ..16.0 8.1 ..20.4 20.8 13.6

19 23 205.1 3.8 4.1

394 206 80

74 79 6892 93 92

4,017 3,337 3,69093.6 93.4 98.0

.. 28.1 50.51.4 6.9 4.52.3 2.3 2.7

3,549 33,064 26,1663.842

..115 102 98105 102 103

1.5 2.8 5.3182.3 285.6 659.4

67.7 1,584 12,86026.058.1 1,009 3,45521.3 442 1,144

0.1 21 243697 1,245 1,848

84.5 130.6 227.1

20 / 291.8 to 2.5

2,612–80 to 199

8 / 27–2 / –3

12/7/2010 (2nd)n/a

Yes, with Goaln/a

..

341,094

n/an/a

Colombia








Population (thousands) 734.8 GDP ($ millions) 541.1Pop. growth (avg. ann. %, 1990–2010) 2.6 GNI per capita (Atlas $) 750

Countrydata

Sub-SaharanAfrica

Lowincome

13.5 0.4 0.714.0 2.0 5.1

.. 14 112.6 4.0 3.70.00.8 3.2 3.7

.. .. ..46.1 50.9 ..

0.0 11.7 10.686 121 108

25.0 24.6 28.324,619 26,113 16,659

36 31 3595 60 63

1,064 1,297 2,047.. 32.5 23.0

76.5 18.3 14.10.9 1.2 0.71.7 3.6 3.2

1 11,957 4,4711.81572.481 67 6584 89 91

0.2 0.8 0.3179.3 428.6 270.2

0.1 685 219–0.9

.. 590 436

.. 334 209

.. .. ..60 689 365

59.5 308.4 303.9

22 / 301.5 to 1.8

1,754–9 to 140

12 / 19–3 / –3

4/5/2003 (1st)n/a

..Yes

..

..

..n/an/a

Comoros









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.118 14 11

4.2 4.0 3.70.00.1 3.2 3.7

.. .. ..59.2 50.9 ..10.0 11.7 10.6170 121 108

28.2 24.6 28.337,400 26,113 16,659

23 31 3546 60 63

789 1,297 2,04711.1 32.5 23.01.8 18.3 14.10.6 1.2 0.7

22.4 3.6 3.2174 11,957 4,471

..1782.256 67 6577 89 91

0.0 0.8 0.3151.2 428.6 270.2

2.8 685 219–178.8

56.4 590 43654.6 334 209

0.0 .. ..357 689 365

1,196.4 308.4 303.9

18 / 302.1 to 2.4

1,543–48 to 128

6 / 25–2 / –3

11/28/2009 (2nd)n/a

..Yes

..

20

n/an/a

Congo, Dem. Rep.









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.1 0.4 1.71.0 2.0 6.533 14 143.3 4.0 2.80.30.0 3.2 18.7

.. .. ..54.1 50.9 ..

9.4 11.7 9.593 121 69

11.8 24.6 31.734,298 26,113 4,874

30 31 4571 60 84

862 1,297 2,75437.1 32.5 67.37.1 18.3 29.30.9 1.2 2.6

23.7 3.6 2.477 11,957 81,789

..1812.674 67 8892 89 93

0.5 0.8 1.6147.0 428.6 523.9

1.9 685 3,744-82.1

5.6 590 1,7053.6 334 6870.0 .. 17

356 689 68099.1 308.4 217.9

20 / 292.0 to 2.3

1,646–40 to 134

9 / 26–2 / –3

11/27/2009 (2nd)n/aYesn/a

..

..

..n/an/a

Congo, Rep.









Countrydata

EastAsia &Pacifi c

Uppermiddleincome

87.9 2.5 1.862.0 10.3 6.5

.. .. 22

.. 3.3 2.3

..

.. 10.8 5.6

.. .. ..

.. 16.8 ..0.8 14.9 13.6

9 24 20.. 9.0 4.1.. 525 80

100 59 6894 88 92

.. 4,860 3,690

.. 90.8 98.0

.. 15.9 50.55.9 2.8 4.5

.. 3.0 2.7

.. 14,638 26,1663.5

..

..102 97 98106 103 103

3.4 4.3 5.3.. 827.1 659.4

0.1 8,259 12,860–0.2

.. 1,928 3,455

.. 707 1,144

.. .. 243

.. 1,436 1,848

.. 259.5 227.1

22 / 281.3 to 1.7

1,925–57 to 174

11 / 16–3 / –3

10/30/1999 (1st)n/a

..n/a

..

..

..n/an/a

Cook Islands





Countrydata


Uppermiddleincome






2.1 1.5 1.80.8 3.8 6.531 35 22

3.3 2.0 2.30.72.4 2.0 5.61.5 .. ..<2 8.1 ..

20.9 20.8 13.610 23 20

.. 3.8 4.151 206 80

95 79 6897 93 92

3,770 3,337 3,69099.3 93.4 98.025.3 28.1 50.5

2.3 6.9 4.54.1 2.3 2.7

144 33,064 26,1664.5121

..96 102 98

102 102 103

1.8 2.8 5.3171.0 285.6 659.4

8.0 1,584 12,860-3.52.6 1,009 3,4551.3 442 1,1440.1 21 243

1,067 1,245 1,848106.1 130.6 227.1

20 / 301.6 to 2.3

2,926–239 to 60

12 / 27–3 / –3

10/7/2009 (2nd)n/a

Yes, with Goaln/a

..

8320n/an/a

Costa Rica

66 2011 The Little Data Book on Climate Change66








Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.2 0.4 1.73.2 2.0 6.521 14 14

3.4 4.0 2.80.01.8 3.2 18.7

.. .. ..23.8 50.9 ..22.6 11.7 9.5123 121 6916.7 24.6 31.7

36,482 26,113 4,874

23 31 4580 60 84

1,900 1,297 2,75447.3 32.5 67.37.9 18.3 29.30.6 1.2 2.61.8 3.6 2.4319 11,957 81,7892.51672.446 67 8869 89 93

0.4 0.8 1.6223.0 428.6 523.9

7.0 685 3,744–18.411.0 590 1,705

7.4 334 6870.0 .. 17

535 689 680317.2 308.4 217.9

21 / 321.8 to 2.4

1,348–125 to 73

7 / 23–2 / –2

4/26/2010 (2nd)n/aYesn/a

..

30

n/an/a

Côte d’Ivoire

67The Little Data Book on Climate Change 2011 67








Countrydata

Highincome

3.0 2.23.4 7.7

.. ..0.0 1.00.0

.. 10.40.4 ..<2 ..7.3 13.4

6 61.0 ..

.. ..

99 10099 100

6,117 5,445.. ..

86.9 87.32.7 10.70.5 1.8719 ..

..80

..97 97

102 100

5.3 11.9303.5 354.4

23.3 13,285-8.73.9 1,5392.9 8130.1 460

1,965 4,944120.6 147.0

6 / 161.9 to 2.9

1,113–112 to –2

3 / 6–2 / –2

..5%n/an/a

..

n/an/a

..

..

Croatia


Countrydata


Uppermiddleincome

68








12.7 1.5 1.810.0 3.8 6.5

19 35 220.5 2.0 2.30.7

19.8 2.0 5.6.. .. .... 8.1 ..

6.2 20.8 13.66 23 20

3.4 3.8 4.1.. 206 80

91 79 6894 93 92

2,069 3,337 3,69097.0 93.4 98.049.0 28.1 50.515.0 6.9 4.5

0.0 2.3 2.760 33,064 26,1664.5

..

..98 102 9899 102 103

2.8 2.8 5.3.. 285.6 659.4

31.4 1,584 12,860–21.7

9.5 1,009 3,4556.4 442 1,1440.1 21 243

1,022 1,245 1,848.. 130.6 227.1

20 / 301.4 to 1.8

1,335–108 to 39

11 / 18–2 / –2

9/28/2001 (1st)n/a

..n/a

..

2171n/an/a

Cuba








Population (thousands) 142.7 GDP ($ millions) ..Pop. growth (avg. ann. %, 1990–2010) –0.1 GNI per capita (Atlas $) ..

Countrydata

Highincome

.. 2.2

.. 7.7

.. ..

.. 1.0

..

.. 10.4

.. ..

.. ..

.. 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

.. 11.9

.. 354.4

.. 13,285

..

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

..

..

..

..

..

..

n/an/an/an/a

..

n/an/an/an/a

Curaçao









Countrydata

Highincome

6.4 2.29.7 7.7

.. ..2.1 1.00.0

24.5 10.420.8 ..

.. ..11.0 13.4

4 6.. .... ..

100 100100 100900 5,445

.. ..64.6 87.3

6.3 10.723.4 1.8

.. ..

..40

..103 97100 100

7.9 11.9410.2 354.4

8.6 13,285..

0.6 1,5390.3 8130.2 460

2,298 4,944121.4 147.0

13 / 241.7 to 2.3

498–98 to –44

4 / 7–2 / –2

..20% / 30%

..n/aYes

80

n/an/a

Cyprus









Countrydata

Highincome

0.0 2.20.0 7.711 ..

0.0 1.00.2

13.6 10.40.3 ..<2 ..

15.1 13.44 6

2.1 .... ..

98 100100 100

5,074 5,445.. ..

100.0 87.312.2 10.7

3.5 1.8.. ..

2.864

..99 97

101 100

11.2 11.9483.3 354.4117.0 13,285–6.911.5 1,5398.9 8131.1 460

4,022 4,944178.3 147.0

3 / 121.9 to 2.8

677–43 to 55

3 / 5–1 / –2

11/30/2009 (5th)20% / 30% (EU)

n/an/aYes

n/an/a58

607

Czech Republic









Countrydata

Highincome

17.7 2.218.5 7.7

21 ..0.5 1.00.0

17.4 10.49.6 ..

.. ..5.0 13.4

4 6.. .... ..

100 100100 100

6,776 5,445.. ..

100.0 87.318.0 10.7-0.2 1.8

.. ..

..5..

97 97102 100

8.4 11.9246.4 354.446.0 13,285–1.17.9 1,5396.3 8131.4 460

3,550 4,944108.9 147.0

4 / 111.6 to 2.5

70321 to 87

3 / 5–2 / –2

1/11/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Denmark









Countrydata

MiddleEast &

N. Africa

Lowermiddleincome

2.6 1.4 1.77.6 9.7 6.5

.. 20 143.0 2.5 2.86.86.3 121.9 18.7

.. .. ..18.8 3.6 ..

0.0 4.0 9.591 34 69

29.6 6.8 31.7467 .. 4,874

56 84 4592 87 84

1,111 2,512 2,754.. 92.9 67.3

45.0 74.3 29.30.8 3.6 2.69.2 2.9 2.4

396 5,854 81,789..

1702.835 88 8882 93 93

0.6 3.8 1.6302.5 604.6 523.9

0.5 1,230 3,744–0.6

.. 287 1,705

.. 74 687

.. 7 17170 1,399 680

87.3 213.9 217.9

23 / 332.0 to 2.7

220–29 to 57

7 / 16–2 / –3

6/2/2002 (1st)n/a

..Yes

..

..

..n/an/a

Djibouti








Population (thousands) 67.8 GDP ($ millions) 382.8Pop. growth (avg. ann. %, 1990–2010) –0.2 GNI per capita (Atlas $) 5,410

Countrydata

LatinAmerica & the Carib.

Uppermiddleincome

9.4 1.5 1.810.4 3.8 6.5

.. 35 220.3 2.0 2.3

..

.. 2.0 5.6

.. .. ..

.. 8.1 ..21.7 20.8 13.6

12 23 20.. 3.8 4.1.. 206 80

81 79 6895 93 92

1,437 3,337 3,690.. 93.4 98.0

50.4 28.1 50.5.. 6.9 4.5

8.1 2.3 2.75 33,064 26,166..

653.989 102 98

102 102 103

1.9 2.8 5.3214.5 285.6 659.4

0.1 1,584 12,860–0.4

.. 1,009 3,455

.. 442 1,144

.. 21 243628 1,245 1,84874.4 130.6 227.1

19 / 261.3 to 1.7

3,436-106 to 42

13 / 24-3 / -3

12/4/2001 (1st)n/a

..n/a

..

..

..n/an/a

Dominica









Countrydata

LatinAmerica & the Carib.

Uppermiddleincome

4.1 1.5 1.83.0 3.8 6.522 35 222.8 2.0 2.30.1

16.6 2.0 5.69.0 .. ..4.3 8.1 ..

22.1 20.8 13.627 23 20

3.4 3.8 4.146 206 80

83 79 6886 93 92

2,846 3,337 3,69095.9 93.4 98.049.4 28.1 50.5

3.7 6.9 4.53.2 2.3 2.769 33,064 26,1663.0

108..

90 102 9897 102 103

2.2 2.8 5.3289.4 285.6 659.4

21.6 1,584 12,860–18.8

6.1 1,009 3,4552.3 442 1,1440.0 21 243

826 1,245 1,848104.7 130.6 227.1

20 / 291.5 to 1.8

1,410–128 to 30

12 / 24–3 / –3

11/17/2009 (2nd)n/a

..n/aYes

212

n/an/a

Dominican Republic









Countrydata


Uppermiddleincome

2.0 1.5 1.87.3 3.8 6.531 35 222.7 2.0 2.30.33.5 2.0 5.6

12.6 .. ..4.4 8.1 ..

25.1 20.8 13.620 23 20

6.2 3.8 4.163 206 80

92 79 6894 93 92

2,974 3,337 3,69092.2 93.4 98.014.8 28.1 50.5

3.1 6.9 4.50.3 2.3 2.7

239 33,064 26,1664.8

130..

106 102 98102 102 103

1.9 2.8 5.3263.2 285.6 659.4

26.8 1,584 12,86046.917.1 1,009 3,4554.6 442 1,1440.1 21 243

796 1,245 1,848111.0 130.6 227.1

16 / 281.8 to 2.3

2,08722 to 273

10 / 24–3 / –3

11/15/2000 (1st)n/a

..n/a

..

171,184

n/an/a

Ecuador









Countrydata

MiddleEast &

N. Africa

Lowermiddleincome

4.0 1.4 1.725.6 9.7 6.5

19 20 141.7 2.5 2.80.0

3,788.9 121.9 18.7.. .. ..

<2 3.6 ..5.9 4.0 9.522 34 69

6.8 6.8 31.70 .. 4,874

94 84 4599 87 84

7,571 2,512 2,75499.6 92.9 67.386.9 74.3 29.3

6.4 3.6 2.62.9 2.9 2.4

2,588 5,854 81,789..

110..

96 88 8896 93 93

2.7 3.8 1.6514.8 604.6 523.9210.3 1,230 3,744

–9.947.0 287 1,70519.0 74 6873.2 7 17

903 1,399 680164.5 213.9 217.9

15 / 291.9 to 2.4

51–20 to 1

4 / 8–2 / –2

6/7/2010 (2nd)n/a

..n/aYes

97,012

n/an/a

Egypt, Arab Rep.









Countrydata


Lowermiddleincome

2.5 1.5 1.71.7 3.8 6.525 35 14

1.8 2.0 2.80.47.8 2.0 18.72.1 .. ..5.1 8.1 ..0.8 20.8 9.516 23 69

6.1 3.8 31.71 206 4,874

87 79 4587 93 84

2,727 3,337 2,75486.4 93.4 67.319.8 28.1 29.3

2.0 6.9 2.60.0 2.3 2.4

152 33,064 81,7893.3112

..89 102 8898 102 93

1.0 2.8 1.6158.9 285.6 523.9

6.1 1,584 3,7443.93.1 1,009 1,7051.4 442 6870.1 21 17

828 1,245 680137.5 130.6 217.9

18 / 311.7 to 2.9

1,724–205 to 14

9 / 25–2 / –2

4/10/2000 (1st)n/a

..n/a

..

6790n/an/a

El Salvador









Countrydata

Highincome

0.9 2.22.6 7.7

.. ..3.8 1.0

..0.1 10.4

.. ..

.. ..19.2 13.4121 610.6 ..

27,726 ..

51 10043 100

.. 5,445

.. ..

.. 87.30.8 10.75.0 1.8

.. ..

..155

..50 9783 100

7.3 11.9234.6 354.4

4.8 13,285.... 1,539.. 813.. 460

2,732 4,94494.9 147.0

21 / 291.8 to 2.1

2,156–16 to 129

13 / 27–3 / –3

..n/a

..

..

..

00

n/an/a

Equatorial Guinea









Countrydata

Sub-SaharanAfrica

Lowincome

3.1 0.4 0.71.2 2.0 5.1

.. 14 114.1 4.0 3.77.3

20.8 3.2 3.7.. .. .... 50.9 ..

5.0 11.7 10.661 121 108

34.5 24.6 28.3762 26,113 16,659

14 31 3561 60 63

500 1,297 2,04732.0 32.5 23.021.8 18.3 14.1

0.6 1.2 0.72.6 3.6 3.240 11,957 4,471

..1802.748 67 6577 89 91

0.1 0.8 0.3171.0 428.6 270.2

0.4 685 2191.72.5 590 4361.2 334 2090.0 .. ..142 689 365

288.2 308.4 303.9

19 / 322.1 to 2.7

384–55 to 26

7 / 14–2 / –2


..

..

..n/an/a

Eritrea









Countrydata

Highincome

3.4 2.27.2 7.7

.. ..-0.9 1.00.01.2 10.4

.. ..<2 ..

20.0 13.45 6.. .... ..

95 10098 100

2,761 5,445.. ..

28.8 87.310.2 10.78.2 1.8

.. ..

..24

..100 97101 100

13.6 11.9731.7 354.418.3 13,285–7.02.1 1,5390.9 8130.0 460

4,085 4,944249.8 147.0

2 / 92.2 to 3.2

62633 to 93

2 / 5–2 / –2

2/12/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a12

0

Estonia









Countrydata

Sub-SaharanAfrica

Lowincome

0.7 0.4 0.70.4 2.0 5.1

4 14 114.4 4.0 3.73.34.6 3.2 3.70.5 .. ..

39.0 50.9 ..18.4 11.7 10.6106 121 108

34.6 24.6 28.311,509 26,113 16,659

12 31 3538 60 63

1,677 1,297 2,04717.0 32.5 23.013.7 18.3 14.10.3 1.2 0.70.6 3.6 3.2

4 11,957 4,471..

1113.255 67 6588 89 91

0.1 0.8 0.3109.9 428.6 270.2

7.1 685 219–9.952.2 590 43630.5 334 209

0.0 .. ..402 689 365

464.6 308.4 303.9

16 / 292.1 to 2.5

848–42 to 79

7 / 21–2 / –3


..

10

n/an/a

Ethiopia








Population (thousands) 48.7 GDP ($ billions) 2.2Pop. growth (avg. ann. %, 1990–2010) 0.1 GNI per capita (Atlas $) ..

Countrydata

Highincome

14.5 2.211.0 7.7

.. ..1.8 1.0

..

.. 10.4

.. ..

.. ..

.. 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

14.6 11.9.. 354.4

0.7 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

4 / 80.6 to 1.6

1,57816 to 95

4 / 5–1 / –1

n/an/an/an/a

..

n/an/an/an/a

Faeroe Islands









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

11.4 2.5 1.711.0 10.3 6.5

.. .. 142.1 3.3 2.81.70.3 10.8 18.7

.. .. ..

.. 16.8 ..1.3 14.9 9.517 24 69.. 9.0 31.7.. 525 4,874

.. 59 45

.. 88 842,458 4,860 2,754

.. 90.8 67.349.2 15.9 29.3

2.4 2.8 2.64.3 3.0 2.490 14,638 81,7892.877

..92 97 88

103 103 93

1.5 4.3 1.6348.5 827.1 523.9

1.3 8,259 3,744–7.7

.. 1,928 1,705

.. 707 687

.. .. 17627 1,436 680

145.9 259.5 217.9

21 / 281.3 to 1.7

2,593–93 to 271

10 / 18–3 / –3

5/18/2006 (1st)n/a

..n/aYes

236

n/an/a

Fiji









Countrydata

Highincome

1.1 2.24.4 7.721 ..

0.6 1.00.02.1 10.42.8 ..

.. ..9.1 13.4

3 6.. .... ..

100 100100 100

3,760 5,445.. ..

65.5 87.32.7 10.71.8 1.8

.. ..3.511

..97 97

102 100

10.6 11.9316.3 354.456.5 13,285

–40.69.7 1,5397.1 8130.8 460

6,639 4,944210.6 147.0

–2 / 62.4 to 3.7

53637 to 103

2 / 4–2 / –2

12/23/2009 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

3245

Finland









Countrydata

Highincome

2.1 2.24.0 7.722 ..0.8 1.00.0

15.9 10.45.1 ..

.. ..15.1 13.4

4 6.. .... ..

100 100100 100

7,456 5,445.. ..

100.0 87.38.9 10.71.3 1.8

.. ..

..29

..98 97

100 100

5.9 11.9193.5 354.4377.0 13,285–63.9

77.3 1,53949.1 81315.5 460

4,073 4,944137.4 147.0

7 / 151.6 to 2.6

867–112 to 2

4 / 6–1 / –1

2/8/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a17

3,535

France









Countrydata

Highincome

37.6 2.219.8 7.7

.. ..1.2 1.0

..

.. 10.4

.. ..

.. ..0.4 13.4

.. 6

.. ..

.. ..

98 100100 100

.. 5,445

.. ..

.. 87.31.7 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

3.4 11.9.. 354.4

0.9 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

..1.3 to 1.7

..–79 to 283

16 / 25–3 / –3

n/an/an/an/a

..

n/an/an/an/a

French Polynesia









Countrydata

Sub-SaharanAfrica

Uppermiddleincome

0.5 0.4 1.85.9 2.0 6.5

.. 14 223.5 4.0 2.3

..0.1 3.2 5.6

.. .. ..4.8 50.9 ..

14.9 11.7 13.674 121 20

8.8 24.6 4.129,451 26,113 80

33 31 6887 60 92

2,389 1,297 3,69036.7 32.5 98.010.2 18.3 50.55.3 1.2 4.51.3 3.6 2.7

125 11,957 26,166..

156..

70 67 9896 89 103

1.7 0.8 5.3126.8 428.6 659.4

2.5 685 12,860–500.9

8.2 590 3,4550.5 334 1,1440.0 .. 243

1,214 689 1,84893.3 308.4 227.1

21 / 291.8 to 2.2

1,831–51 to 148

14 / 27–3 / –3


..

..n/an/a

Gabon








Population (millions) 1.7 GDP ($ millions) 806.5Pop. growth (avg. ann. %, 1990–2010) 2.9 GNI per capita (Atlas $) 450

Countrydata

Sub-SaharanAfrica

Lowincome

16.6 0.4 0.733.4 2.0 5.1

.. 14 115.0 4.0 3.70.22.4 3.2 3.7

.. .. ..34.3 50.9 ..

1.5 11.7 10.698 121 108

15.8 24.6 28.331,925 26,113 16,659

67 31 3592 60 63

1,049 1,297 2,047.. 32.5 23.0

19.3 18.3 14.10.6 1.2 0.74.6 3.6 3.235 11,957 4,471

..1493.072 67 65

100 89 91

0.3 0.8 0.3209.4 428.6 270.2

0.4 685 219–50.0

.. 590 436

.. 334 209

.. .. ..84 689 365

71.5 308.4 303.9

20 / 352.1 to 2.7

837–87 to 26

7 / 17–2 / –3

10/6/2003 (1st)n/a

..Yes

..

..

..n/an/a

Gambia, The









Countrydata

Europe &Central

Asia

Lowermiddleincome

1.4 2.5 1.73.3 3.0 6.525 18 14

-0.6 0.3 2.80.82.8 6.5 18.74.0 .. ..

15.3 3.7 ..3.7 7.5 9.522 23 692.3 .. 31.7

0 .. 4,874

95 89 4598 95 84

1,918 2,475 2,754.. .. 67.3

94.1 85.8 29.38.4 9.9 2.64.7 2.8 2.461 22,652 81,789

2.816

3.9107 95 8896 97 93

1.2 7.7 1.6262.8 708.0 523.9

5.2 3,110 3,7441.04.4 937 1,7052.0 214 6870.0 76 17

723 2,833 680167.4 276.8 217.9

0 / 111.9 to 3.0

1,026–77 to -3

3 / 6–1 / –1

10/2/2009 (2nd)n/aYesn/a

..

253

n/an/a

Georgia









Countrydata

Highincome

4.9 2.24.4 7.7

8 ..0.2 1.00.0

36.6 10.4.. .... ..

40.5 13.44 6

1.1 .... ..

100 100100 100

7,201 5,445.. ..

100.0 87.314.4 10.71.4 1.8

.. ..4.319

..104 97

96 100

9.6 11.9283.8 354.4786.7 13,285

17.667.6 1,53956.6 81331.5 460

4,057 4,944121.1 147.0

5 / 121.7 to 2.6

700–38 to 57

3 / 5–1 / –2

2/11/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a11

2,087

Germany









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.8 0.4 1.72.3 2.0 6.517 14 14

4.2 4.0 2.81.03.2 3.2 18.7

.. .. ..30.0 50.9 ..14.0 11.7 9.5

74 121 6914.3 24.6 31.7

31,179 26,113 4,874

13 31 4582 60 84

1,660 1,297 2,75460.5 32.5 67.314.9 18.3 29.3

1.1 1.2 2.68.1 3.6 2.4

290 11,957 81,7893.3633.783 67 8895 89 93

0.4 0.8 1.6267.6 428.6 523.9

8.6 685 3,744–19.0

9.0 590 1,7054.9 334 6870.0 .. 17

388 689 680275.0 308.4 217.9

22 / 321.8 to 2.4

1,187–159 to 83

7 / 22–2 / –2


00

n/an/a

Ghana









Countrydata

Highincome

100.0 2.2100.0 7.7

.. ..

.. 1.0

..

.. 10.4

.. ..

.. ..4.7 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

14.4 11.9.. 354.4

0.4 13,285..

0.0 1,5390.0 8130.0 460

5,597 4,944.. 147.0

13 / 221.8 to 2.7

618–100 to –26

3 / 8–2 / –2

n/an/an/an/a

..

n/an/an/an/a

Gibraltar









Countrydata

Highincome

6.3 2.29.9 7.729 ..0.8 1.00.0

12.2 10.416.9 ..

.. ..13.8 13.4

4 6.. .... ..

98 100100 100

4,103 5,445.. ..

91.8 87.39.7 10.70.7 1.8

.. ..

..100

..101 9797 100

8.7 11.9323.6 354.4

97.8 13,285–3.07.3 1,5396.0 8131.8 460

2,387 4,94495.5 147.0

11 / 201.7 to 2.6

652-110 to -40

3 / 6-2 / -2

1/18/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Greece









Countrydata

Highincome

16.3 2.252.2 7.7

.. ..0.3 1.0

..

.. 10.4

.. ..

.. ..40.5 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

10.2 11.9.. 354.4

0.6 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

–23 / –101.9 to 3.0

5856 to 74

2 / 5–1 / –2

n/an/an/an/a

..

n/an/an/an/a

Greenland








Population (thousands) 104.5 GDP ($ millions) 627.9Pop. growth (avg. ann. %, 1990–2010) 0.4 GNI per capita (Atlas $) 5,550

Countrydata


Uppermiddleincome

21.7 1.5 1.821.7 3.8 6.5

.. 35 220.2 2.0 2.3

..

.. 2.0 5.60.0 .. ..

.. 8.1 ..1.7 20.8 13.611 23 20

.. 3.8 4.1

.. 206 80

97 79 6895 93 92

989 3,337 3,690.. 93.4 98.0

61.0 28.1 50.5.. 6.9 4.5

10.1 2.3 2.714 33,064 26,166

..733.7

126 102 9897 102 103

2.4 2.8 5.3290.2 285.6 659.4

0.2 1,584 12,860–0.1

.. 1,009 3,455

.. 442 1,144

.. 21 243784 1,245 1,84896.5 130.6 227.1

23 / 311.5 to 1.9

1,535–245 to 7

15 / 26–3 / –3

11/21/2000 (1st)n/a

..n/a

..

..

..n/an/a

Grenada









Countrydata

Highincome

20.4 2.226.6 7.7

.. ..1.6 1.0

..

.. 10.4

.. ..

.. ..26.4 13.4

.. 6

.. ..

.. ..

99 100100 100

3,333 5,445.. .... 87.3.. 10.7.. 1.8.. .......... 97.. 100

.. 11.9

.. 354.4

.. 13,285

..

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

..1.3 to 1.7

..–25 to 230

19 / 27–3 / –3

n/an/an/an/a

..

n/an/an/an/a

Guam









Countrydata


Lowermiddleincome

0.6 1.5 1.70.3 3.8 6.5

8 35 143.3 2.0 2.81.32.7 2.0 18.7

.. .. ..11.7 8.1 ..30.6 20.8 9.5

32 23 6917.7 3.8 31.7184 206 4,874

81 79 4594 93 84

1,966 3,337 2,75480.5 93.4 67.334.5 28.1 29.3

.. 6.9 2.61.7 2.3 2.4

971 33,064 81,7893.397

..80 102 8894 102 93

0.9 2.8 1.6199.4 285.6 523.9

11.9 1,584 3,744–39.5

8.3 1,009 1,7055.4 442 6870.5 21 17701 1,245 680

163.8 130.6 217.9

18 / 291.7 to 2.8

2,712–186 to 22

8 / 22–2 / –2

2/1/2002 (1st)n/a

..n/a

..

111,023

n/an/a

Guatemala









Countrydata

Sub-SaharanAfrica

Lowincome

1.1 0.4 0.73.6 2.0 5.117 14 11

3.9 4.0 3.70.20.7 3.2 3.7

.. .. ..43.3 50.9 ..

6.8 11.7 10.6130 121 108

20.8 24.6 28.340,585 26,113 16,659

19 31 3571 60 63

1,339 1,297 2,047.. 32.5 23.0

9.8 18.3 14.10.1 1.2 0.72.2 3.6 3.271 11,957 4,471

..1792.662 67 6577 89 91

0.1 0.8 0.3145.0 428.6 270.2

1.4 685 219–17.6

.. 590 436

.. 334 209

.. .. ..

.. 689 365

.. 308.4 303.9

20 / 322.0 to 2.6

1,651–122 to 104

7 / 20–2 / –2

10/28/2002 (1st)n/a

..Yes

..

..

..n/an/a

Guinea









Countrydata

Sub-SaharanAfrica

Lowincome

9.5 0.4 0.718.8 2.0 5.1

.. 14 112.3 4.0 3.70.51.1 3.2 3.7

.. .. ..48.8 50.9 ..16.1 11.7 10.6150 121 10817.4 24.6 28.3

34,043 26,113 16,659

21 31 3561 60 63

1,445 1,297 2,047.. 32.5 23.0

27.9 18.3 14.10.6 1.2 0.71.0 3.6 3.219 11,957 4,4711.01762.631 67 6565 89 91

0.2 0.8 0.3186.6 428.6 270.2

0.3 685 219.... 590 436.. 334 209.. .. ..

67 689 36564.8 308.4 303.9

21 / 331.8 to 2.2

1,577-69 to 130

10 / 22–3 / –3

12/1/2005 (1st)n/a

..Yes

..

..

..n/an/a

Guinea-Bissau









Countrydata


Lowermiddleincome

2.7 1.5 1.731.3 3.8 6.5

.. 35 140.0 2.0 2.87.20.7 2.0 18.7

.. .. ..8.7 8.1 ..4.9 20.8 9.530 23 69

10.8 3.8 31.72,194 206 4,874

81 79 4594 93 84

2,568 3,337 2,754.. 93.4 67.3

7.4 28.1 29.32.8 6.9 2.68.4 2.3 2.426 33,064 81,789

..1143.0

109 102 88100 102 93

2.0 2.8 1.6780.2 285.6 523.9

1.5 1,584 3,744–30.9

.. 1,009 1,705

.. 442 687

.. 21 17667 1,245 680

260.8 130.6 217.9

22 / 301.9 to 3.0

2,387–158 to 72

9 / 26–3 / –3

5/16/2002 (1st)n/a

..n/a

..

10

n/an/a

Guyana









Countrydata


Lowincome

3.9 1.5 0.75.4 3.8 5.121 35 11

4.5 2.0 3.70.89.2 2.0 3.7

.. .. ..54.9 8.1 ..

0.3 20.8 10.6165 23 108

18.9 3.8 28.31,891 206 16,659

17 79 3563 93 63

991 3,337 2,04738.5 93.4 23.024.3 28.1 14.1

.. 6.9 0.72.2 2.3 3.2

1 33,064 4,471..

1742.5

.. 102 65

.. 102 91

0.3 2.8 0.3238.9 285.6 270.2

2.4 1,584 2191.04.0 1,009 4361.4 442 2090.0 21 ..

263 1,245 365247.5 130.6 303.9

20 / 301.5 to 1.8

1,440–125 to 34

13 / 23–3 /–3

1/3/2002 (1st)n/a

..Yes

..

..

..n/an/a

Haiti









Countrydata


Lowermiddleincome

3.0 1.5 1.72.2 3.8 6.514 35 14

3.2 2.0 2.81.31.2 2.0 18.7

.. .. ..23.3 8.1 ..18.2 20.8 9.5

24 23 698.6 3.8 31.7

335 206 4,874

71 79 4586 93 84

1,752 3,337 2,75470.3 93.4 67.320.4 28.1 29.3

1.9 6.9 2.65.2 2.3 2.4321 33,064 81,7893.8

1283.390 102 88

107 102 93

1.2 2.8 1.6326.6 285.6 523.9

8.7 1,584 3,7444.65.2 1,009 1,7052.9 442 6870.0 21 17

592 1,245 680169.2 130.6 217.9

19 / 281.6 to 2.6

1,976-204 to 15

10 / 25-2 / -2

11/15/2000 (1st)n/a

..n/a

..

19568n/an/a

Honduras









Countrydata

Highincome

24.6 2.226.2 7.7100 ..1.1 1.00.0

.. 10.4

.. ..

.. ..41.8 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..100.0 87.3

.. 10.730.7 1.8

.. ..

..2..

93 97102 100

5.5 11.9136.2 354.4

38.6 13,285..

2.8 1,5390.4 8130.1 460

2,133 4,94454.2 147.0

19 / 261.4 to 1.9

2,240–83 to 73

7 / 10–1 / –1

n/an/an/an/a

..

n/an/an/an/a

Hong Kong SAR, China









Countrydata

Highincome

0.0 2.20.0 7.717 ..

0.0 1.00.1

89.6 10.41.8 ..<2 ..5.1 13.4

6 6.. .... ..

100 100100 100

4,712 5,445.. ..

37.7 87.39.4 10.7

–32.2 1.82,645 ..

..51

..95 9799 100

5.4 11.9312.1 354.454.6 13,285–3.07.8 1,5397.0 8131.6 460

2,542 4,944153.9 147.0

5 / 152.0 to 3.0

589–75 to 23

3 / 5–1 / –2

12/10/2009 (5th)20% / 30% (EU)

n/an/aYes

n/an/a11

1,321

Hungary









Countrydata

Highincome

4.4 2.213.1 7.7

.. ..1.2 1.0

..0.1 10.4

.. ..

.. ..9.7 13.4

2 6.. .... ..

100 100100 100

.. 5,445

.. ..36.6 87.320.4 10.723.4 1.8

.. ..

..9..

98 97102 100

7.0 11.9191.5 354.4

2.2 13,2850.70.4 1,5390.4 8130.2 460

16,876 4,944512.0 147.0

–1 / 50.9 to 2.3

978–1 to 101

3 / 6–1 / –1

3/12/2010 (5th)30%n/an/a

..

n/an/a

..

..

Iceland









Countrydata

SouthAsia

Lowermiddleincome

1.4 1.5 1.73.8 4.4 6.513 13 142.4 2.7 2.84.4

47.8 50.6 18.735.1 .. ..41.6 40.3 ..5.3 6.1 9.563 67 69

43.5 42.5 31.71,124 1,127 4,874

31 36 4588 87 84

2,572 2,728 2,75466.3 62.1 67.349.3 58.9 29.3

1.9 1.7 2.61.4 1.3 2.4

71,898 73,548 81,7893.31323.695 86 8892 92 93

1.5 1.3 1.6549.8 504.6 523.9

1,742.7 1,970 3,74414.3

584.0 846 1,705212.9 268 687

8.4 9 17585 532 680

195.4 193.5 217.9

18 / 301.9 to 2.6

1,083–91 to 135

5 / 13–2 / –2

6/22/2004 (1st)n/a


727118,184

n/an/a

India









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

5.5 2.5 1.711.2 10.3 6.5

9 .. 144.1 3.3 2.80.25.6 10.8 18.7

16.0 .. ..18.7 16.8 ..14.1 14.9 9.5

35 24 6917.5 9.0 31.7

1,645 525 4,874

52 59 4580 88 84

4,813 4,860 2,75464.5 90.8 67.359.1 15.9 29.32.3 2.8 2.61.9 3.0 2.4

3,408 14,638 81,7893.3

1293.2109 97 88

98 103 93

1.7 4.3 1.6484.1 827.1 523.9406.0 8,259 3,744164.1208.9 1,928 1,705123.3 707 687

1.0 .. 17851 1,436 680

230.3 259.5 217.9

21 / 311.5 to 1.8

2,702–160 to 234

17 / 27–3 / –3

10/27/1999 (1st)n/a


703,007

n/an/a

Indonesia









Countrydata

MiddleEast &

N. Africa

Uppermiddleincome

1.6 1.4 1.85.0 9.7 6.524 20 22

2.5 2.5 2.33.1

72.5 121.9 5.619.0 .. ..

<2 3.6 ..7.1 4.0 13.626 34 20

.. 6.8 4.118 .. 80

83 84 6893 87 92

2,289 2,512 3,69098.4 92.9 98.073.3 74.3 50.5

2.5 3.6 4.50.9 2.9 2.7

486 5,854 26,166..

144..

101 88 9897 93 103

7.4 3.8 5.3716.3 604.6 659.4538.4 1,230 12,860

31.6114.6 287 3,45526.6 74 1,144

2.6 7 2432,951 1,399 1,848282.1 213.9 227.1

10 / 242.2 to 3.3

228–51 to 6

3 / 7–1 / –1

3/31/2003 (1st)n/a

..n/a

..

70

n/an/a

Iran, Islamic Rep.









Countrydata

MiddleEast &

N. Africa

Lowermiddleincome

4.0 1.4 1.76.5 9.7 6.523 20 142.6 2.5 2.80.0

187.5 121.9 18.7.. .. ..

4.0 3.6 ..0.1 4.0 9.539 34 697.1 6.8 31.7

0 .. 4,874

73 84 4579 87 84

1,222 2,512 2,75486.0 92.9 67.384.3 74.3 29.3

2.1 3.6 2.61.7 2.9 2.4

956 5,854 81,789..

164..

64 88 8881 93 93

3.4 3.8 1.61,057.0 604.6 523.9

102.9 1,230 3,744..

15.9 287 1,7053.4 74 6870.1 7 17

1,035 1,399 680317.1 213.9 217.9

14 / 292.3 to 3.2

216–38 to -2

3 / 7–2 / –1

..n/a

..n/a

..

..

..n/an/a

Iraq









Countrydata

Highincome

4.0 2.26.6 7.725 ..1.6 1.00.0

.. 10.4

.. ..

.. ..1.0 13.4

4 6.. .... ..

99 100100 100

6,798 5,445.. ..

100.0 87.315.7 10.713.3 1.8

.. ..

..10

..97 97

103 100

9.9 11.9252.9 354.443.6 13,285-2.215.3 1,539

7.5 8131.2 460

3,333 4,94494.7 147.0

6 / 130.9 to 1.4

1,118–13 to 78

3 / 6–1 / –1

3/3/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..


Ireland









Countrydata

Highincome

12.1 2.227.8 7.7

.. ..0.7 1.0

..

.. 10.4

.. ..

.. ..

.. 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

.. 11.9

.. 354.4

.. 13,285

..

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

..1.3 to 1.8

..–13 to 56

3 / 5–1 / –1

n/an/an/an/a

..

n/an/an/an/a

Isle of Man









Countrydata

Highincome

7.8 2.28.3 7.757 ..

2.5 1.00.0

241.9 10.428.4 ..

.. ..18.7 13.4

5 6.. .... ..

100 100100 100

3,182 5,44599.7 ..

100.0 87.39.8 10.72.4 1.8

.. ..

..34

..102 97102 100

5.2 11.9200.2 354.4

37.7 13,285-0.43.5 1,5391.8 8132.0 460

2,873 4,944110.4 147.0

13 / 251.9 to 2.7

435–41 to -11

4 / 8–2 / –2

12/7/2010 (2nd)n/a


221,160

n/an/a

Israel









Countrydata

Highincome

5.2 2.27.5 7.717 ..

0.4 1.00.0

24.8 10.418.8 ..

.. ..9.9 13.4

4 6.. .... ..

.. 100100 100

5,035 5,445.. ..

100.0 87.36.5 10.70.5 1.8

.. ..3.587

..104 9799 100

7.4 11.9264.1 354.4445.1 13,285–94.740.8 1,53928.6 81314.0 460

2,814 4,944105.2 147.0

10 / 171.8 to 2.6

832–108 to –11

4 / 7–2 / –2

3/17/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Italy









Countrydata


Uppermiddleincome

7.1 1.5 1.85.8 3.8 6.5

.. 35 221.0 2.0 2.31.16.2 2.0 5.6

.. .. ..<2 8.1 ..

18.9 20.8 13.624 23 20

2.2 3.8 4.1.. 206 80

83 79 6894 93 92

1,262 3,337 3,69092.0 93.4 98.073.3 28.1 50.5

2.5 6.9 4.51.6 2.3 2.7170 33,064 26,1663.888

..89 102 98

100 102 103

4.5 2.8 5.3618.4 285.6 659.412.2 1,584 12,860–0.21.3 1,009 3,4550.6 442 1,1440.1 21 243

1,208 1,245 1,848169.3 130.6 227.1

21 / 291.3 to 1.8

2,051–102 to 28

14 / 24–3 / –3

11/21/2000 (1st)n/a

..n/aYes

1211n/an/a

Jamaica









Countrydata

Highincome

5.9 2.216.2 7.7

49 ..0.4 1.00.0

20.6 10.435.2 ..

.. ..16.3 13.4

3 6.. .... ..

100 100100 100

5,920 5,445.. ..

79.6 87.36.2 10.7

–0.0 1.8.. ..

4.520

..102 97100 100

9.5 11.9

302.2 354.41,208.2 13,285

-71.542.8 1,53929.8 81353.8 460

3,883 4,944125.7 147.0

7 / 151.8 to 2.3

1,668–47 to 80

3 / 6–2 / –2

12/21/2009 (5th)25%n/an/aYes

n/an/a

..

..

Japan









Countrydata

MiddleEast &

N. Africa

Uppermiddleincome

2.0 1.4 1.84.2 9.7 6.518 20 223.6 2.5 2.30.4

136.5 121.9 5.69.2 .. ..<2 3.6 ..9.4 4.0 13.622 34 201.9 6.8 4.1

.. .. 80

98 84 6896 87 92

1,044 2,512 3,69099.9 92.9 98.0

100.0 74.3 50.56.5 3.6 4.56.2 2.9 2.7301 5,854 26,166

..96

..99 88 98

102 93 103

3.7 3.8 5.3723.4 604.6 659.4

21.4 1,230 12,8600.71.8 287 3,4550.7 74 1,1440.1 7 243

1,260 1,399 1,848246.3 213.9 227.1

11 / 252.1 to 2.9

111–28 to -3

4 / 7–1 / –2


2986n/an/a

Jordan









Countrydata

Europe &Central

Asia

Uppermiddleincome

6.7 2.5 1.83.9 3.0 6.5

8 18 220.2 0.3 2.30.2

42.1 6.5 5.6.. .. ..

<2 3.7 ..2.5 7.5 13.633 23 204.9 .. 4.1

.. .. 80

97 89 6895 95 92

1,254 2,475 3,690.. .. 98.0

89.9 85.8 50.53.8 9.9 4.57.0 2.8 2.7

596 22,652 26,166..

47..

108 95 9899 97 103

15.1 7.7 5.31,444.1 708.0 659.4

237.0 3,110 12,860..

47.1 937 3,45517.6 214 1,1440.3 76 243

4,134 2,833 1,848396.5 276.8 227.1

1 / 122.2 to 3.1

250–1 to 37

2 / 5–1 / –1

6/4/2009 (2nd)15%

..n/a

..

..

..n/an/a

Kazakhstan









Countrydata

Sub-SaharanAfrica

Lowincome

0.2 0.4 0.71.4 2.0 5.1

9 14 113.7 4.0 3.76.5

13.2 3.2 3.70.0 .. ..

19.7 50.9 ..11.6 11.7 10.6

85 121 10816.4 24.6 28.3

30,307 26,113 16,659

31 31 3559 60 63

1,204 1,297 2,04716.1 32.5 23.014.1 18.3 14.10.1 1.2 0.70.4 3.6 3.2

492 11,957 4,4714.0

1093.390 67 6595 89 91

0.3 0.8 0.3187.6 428.6 270.210.4 685 219

–28.022.1 590 43610.5 334 2090.0 .. ..474 689 365

329.4 308.4 303.9

19 / 311.9 to 2.1

6920 to 144

8 / 25–2 / –3

10/22/2002 (1st)n/a

..n/a

..

50

n/an/a

Kenya









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

96.7 2.5 1.795.2 10.3 6.5

.. .. 142.8 3.3 2.85.0

.. 10.8 18.7

.. .. ..

.. 16.8 ..22.0 14.9 9.5

49 24 69.. 9.0 31.7.. 525 4,874

31 59 4561 88 84

.. 4,860 2,754

.. 90.8 67.3

.. 15.9 29.30.3 2.8 2.62.4 3.0 2.4

.. 14,638 81,789

..1153.1

118 97 88107 103 93

0.3 4.3 1.6134.6 827.1 523.9

0.0 8,259 3,744.... 1,928 1,705.. 707 687.. .. 17

116 1,436 68049.9 259.5 217.9

25 / 311.6 to 2.0

1,94281 to 385

14 / 24-2 / -2

10/30/1999 (1st)n/a

..Yes

..

..

..n/an/a

Kiribati








Population (millions) 24.3 GDP ($ millions) ..Pop. growth (avg. ann. %, 1990–2010) 0.9 GNI per capita (Atlas $) ..

Countrydata

EastAsia &Pacifi c

Lowincome

2.4 2.5 0.75.3 10.3 5.112 .. 111.4 3.3 3.72.5

10.3 10.8 3.7.. .. .... 16.8 ..

4.0 14.9 10.633 24 108

20.6 9.0 28.3284 525 16,659

59 59 35100 88 63

3,513 4,860 2,04726.0 90.8 23.0

2.8 15.9 14.17.4 2.8 0.7

.. 3.0 3.247 14,638 4,471

..

..

..

.. 97 65

.. 103 91

3.2 4.3 0.3.. 827.1 270.2

78.4 8,259 219–14.618.2 1,928 436

3.4 707 2092.8 .. ..

795 1,436 365.. 259.5 303.9

0 / 112.1 to 2.7

1,062–9 to 129

3 / 5–1 / –2

5/7/2004 (1st)n/a

..n/a

..

00

n/an/a

Korea, Dem. Rep.









Countrydata

Highincome

4.3 2.25.0 7.748 ..1.2 1.00.1

39.3 10.451.6 ..

.. ..2.4 13.4

5 6.. ..8 ..

100 10098 100

7,238 5,445.. ..

78.5 87.37.3 10.7

–0.0 1.8.. ....8..

101 9797 100

10.5 11.9410.5 354.4509.2 13,285–34.632.1 1,53913.5 81310.2 460

5,044 4,944186.6 147.0

7 / 171.8 to 2.3

1,4040 to 181

3 / 5–1 / –2

12/1/2003 (2nd)n/a


6477,317

n/an/a

Korea, Rep.









Countrydata

Europe &Central

Asia

Lowermiddleincome

.. 2.5 1.7

.. 3.0 6.5

.. 18 14

.. 0.3 2.8

..

.. 6.5 18.7

.. .. ..

.. 3.7 ..

.. 7.5 9.5

.. 23 69

.. .. 31.7

.. .. 4,874

.. 89 45

.. 95 84

.. 2,475 2,754

.. .. 67.3

.. 85.8 29.3

.. 9.9 2.67.4 2.8 2.4

5 22,652 81,789..

1173.2

.. 95 88

.. 97 93

.. 7.7 1.6

.. 708.0 523.9

.. 3,110 3,744

..

.. 937 1,705

.. 214 687

.. 76 17

.. 2,833 680

.. 276.8 217.9

..2.0 to 3.1

..–148 to -34

3 / 6–1 / –1

n/an/an/an/a

..

n/an/an/an/a

Kosovo









Countrydata

Highincome

8.9 2.222.8 7.7

84 ..1.4 1.00.0

.. 10.4

.. ..

.. ..1.6 13.411 61.7 ..

.. ..

100 10099 100

3,084 5,445100.0 ..85.0 87.3

6.3 10.71.0 1.8

.. ..

..67

..93 97

101 100

30.1 11.9602.0 354.4

76.7 13,285..

14.4 1,5390.6 8130.9 460

11,402 4,944217.6 147.0

19 / 322.2 to 3.1

121–19 to 4

4 / 7–2 / –2

..n/a

..n/aYes

..

..n/an/a

Kuwait









Countrydata

Europe &Central

AsiaLow

income

0.0 2.5 0.70.0 3.0 5.1

.. 18 110.8 0.3 3.72.1

20.6 6.5 3.79.4 .. ..<2 3.7 ..6.9 7.5 10.638 23 1082.7 .. 28.3

0 .. 16,659

93 89 3590 95 63

3,034 2,475 2,047.. .. 23.0

91.1 85.8 14.18.0 9.9 0.75.1 2.8 3.214 22,652 4,471

..70

3.094 95 65

101 97 91

1.2 7.7 0.3575.9 708.0 270.2

6.2 3,110 219–0.73.6 937 4361.5 214 2090.0 76 ..

566 2,833 365271.4 276.8 303.9

-5 / 82.3 to 3.2

381–32 to 35

3 / 7–1 / –1

6/4/2009 (2nd)n/a

..n/a

..

00

n/an/a

Kyrgyz Republic









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

0.0 2.5 1.70.0 10.3 6.5

.. .. 145.8 3.3 2.82.71.6 10.8 18.7

.. .. ..33.9 16.8 ..16.3 14.9 9.5

54 24 6931.6 9.0 31.7327 525 4,874

53 59 4557 88 84

3,808 4,860 2,75455.0 90.8 67.313.5 15.9 29.3

1.2 2.8 2.64.7 3.0 2.4

3,860 14,638 81,7892.31653.175 97 8887 103 93

0.3 4.3 1.6125.3 827.1 523.9

1.5 8,259 3,744–104.3

.. 1,928 1,705

.. 707 687

.. .. 17

.. 1,436 680

.. 259.5 217.9

18 / 271.6 to 2.4

1,834–95 to 70

3 / 13–1 / –1

11/2/2000 (1st)n/a

..Yes

..

12

n/an/a

Lao PDR









Countrydata

Europe &Central

Asia

Uppermiddleincome

3.0 2.5 1.823.9 3.0 6.5

.. 18 22–1.0 0.3 2.30.02.4 6.5 5.60.0 .. ..<2 3.7 ..

17.8 7.5 13.610 23 20

.. .. 4.1

.. .. 80

78 89 6899 95 92

3,075 2,475 3,690.. .. 98.0

100.0 85.8 50.57.8 9.9 4.51.4 2.8 2.7

122 22,652 26,166..

21..

93 95 98100 97 103

3.3 7.7 5.3213.9 708.0 659.4

7.6 3,110 12,860–20.5

3.1 937 3,4551.3 214 1,1440.9 76 243

1,871 2,833 1,848144.9 276.8 227.1

2 / 92.1 to 3.1

64131 to 89

2 / 5–2 / –2

3/16/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

00

Latvia









Countrydata

MiddleEast &

N. Africa

Uppermiddleincome

1.7 1.4 1.89.1 9.7 6.546 20 222.0 2.5 2.30.0

26.3 121.9 5.619.9 .. ..

.. 3.6 ..0.5 4.0 13.622 34 20

4.2 6.8 4.1.. .. 80

98 84 68100 87 92

2,832 2,512 3,69099.9 92.9 98.0

.. 74.3 50.55.8 3.6 4.5

12.7 2.9 2.73 5,854 26,166

3.0104

..85 88 98

104 93 103

4.1 3.8 5.3372.5 604.6 659.4

17.1 1,230 12,860-0.11.0 287 3,4550.7 74 1,1440.0 7 243

1,580 1,399 1,848133.2 213.9 227.1

11 / 222.0 to 2.9

661–75 to -27

4 / 7–2 / –2

3/31/2011 (2nd)n/a

..n/aYes

00

n/an/a

Lebanon









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.0 0.4 1.70.0 2.0 6.5

.. 14 144.7 4.0 2.83.41.0 3.2 18.7

.. .. ..43.4 50.9 ..

0.5 11.7 9.585 121 69

16.6 24.6 31.7.. 26,113 4,874

29 31 4585 60 84

421 1,297 2,75416.0 32.5 67.318.3 18.3 29.3

0.7 1.2 2.65.5 3.6 2.411 11,957 81,789

2.51433.569 67 88

107 89 93

.. 0.8 1.6

.. 428.6 523.9

.. 685 3,7441.3

.. 590 1,705

.. 334 687

.. .. 179 689 680

7.0 308.4 217.9

5 / 192.0 to 2.5

789–66 to 89

4 / 10–2 / –2

4/17/2000 (1st)n/a

..Yes

..

00

n/an/a

Lesotho









Countrydata

Sub-SaharanAfrica

Lowincome

0.4 0.4 0.73.3 2.0 5.130 14 114.7 4.0 3.71.90.1 3.2 3.7

.. .. ..83.7 50.9 ..18.1 11.7 10.6103 121 108

20.4 24.6 28.329,994 26,113 16,659

17 31 3568 60 63

1,610 1,297 2,047.. 32.5 23.0

6.2 18.3 14.10.3 1.2 0.7

25.1 3.6 3.2135 11,957 4,471

..1512.858 67 6572 89 91

0.2 0.8 0.3447.7 428.6 270.2

0.6 685 219.... 590 436.. 334 209.. .. .... 689 365.. 308.4 303.9

20 / 311.7 to 2.2

2,391–115 to 81

10 / 25–3 / –3

..n/a

..Yes

..

10

n/an/a

Liberia









Countrydata

Middle East &

N. Africa

Uppermiddleincome

0.8 1.4 1.84.7 9.7 6.517 20 22

2.1 2.5 2.30.0

718.0 121.9 5.6.. .. .... 3.6 ..

0.1 4.0 13.617 34 20

5.6 6.8 4.1.. .. 80

97 84 6854 87 92

569 2,512 3,69099.8 92.9 98.057.2 74.3 50.58.7 3.6 4.52.7 2.9 2.7

.. 5,854 26,166

..

..

..

.. 88 98105 93 103

9.5 3.8 5.3619.1 604.6 659.458.3 1,230 12,860

..14.7 287 3,4551.3 74 1,1440.3 7 243

3,258 1,399 1,848212.1 213.9 227.1

14 / 292.0 to 2.4

57–18 to 5

4 / 8–2 / –2

..n/a

..n/aYes

00

n/an/a

Libya









Countrydata

Highincome

0.0 2.20.0 7.7

.. ..0.2 1.0

..

.. 10.4

.. ..

.. ..42.4 13.4

2 6.. .... ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..107 9793 100

.. 11.9

.. 354.4

.. 13,2850.0

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

2 / 91.7 to 2.8

1,539–66 to 32

3 / 5–1 / –1

1/25/2010 (5th)20% / 30%

n/an/a

..

n/an/a

..

..

Liechtenstein









Countrydata

Europe &Central

Asia

Uppermiddleincome

1.9 2.5 1.84.0 3.0 6.5

.. 18 22-0.6 0.3 2.30.0

17.7 6.5 5.6.. .. ..

<2 3.7 ..4.5 7.5 13.6

7 23 20.. .. 4.1.. .. 80

.. 89 68

.. 95 923,450 2,475 3,690

.. .. 98.028.6 85.8 50.511.0 9.9 4.5

1.7 2.8 2.7104 22,652 26,166

..27

..96 95 9899 97 103

4.5 7.7 5.3255.8 708.0 659.4

15.1 3,110 12,860–3.75.5 937 3,4552.5 214 1,1440.7 76 243

2,512 2,833 1,848166.3 276.8 227.1

2 / 102.0 to 3.0

65622 to 83

2 / 5–2 / –2

2/22/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a12

2,408

Lithuania









Countrydata

Highincome

0.0 2.20.0 7.7

.. ..1.5 1.00.0

.. 10.4

.. ..

.. ..19.8 13.4

3 6.. .... ..

100 100100 100

6,202 5,445.. ..

100.0 87.32.9 10.7

279.2 1.8.. ....

50..

84 97102 100

21.5 11.9291.0 354.4

10.5 13,285–0.31.1 1,5390.5 8130.1 460

8,313 4,944116.8 147.0

4 / 131.5 to 2.5

934–86 to 26

3 / 5–1 / –1

2/14/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Luxembourg









Countrydata

Highincome

35.4 2.279.9 7.7

.. ..2.1 1.0

..

.. 10.4

.. ..

.. ..

.. 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..100.0 87.3

.. 10.78.3 1.8

.. ..

..

..

..99 9795 100

2.6 11.946.0 354.4

1.3 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

20 / 261.4 to 1.9

2,219–83 to 73

7 / 10–1 / –1

n/an/an/an/a

..

n/an/an/an/a

Macao SAR, China









Countrydata

Europe &Central

Asia

Uppermiddleincome

0.0 2.5 1.80.0 3.0 6.5

.. 18 221.2 0.3 2.30.3

28.8 6.5 5.67.3 .. ..<2 3.7 ..4.8 7.5 13.612 23 201.8 .. 4.1

.. .. 80

89 89 68100 95 92

3,373 2,475 3,690.. .. 98.0

56.5 85.8 50.56.9 9.9 4.53.2 2.8 2.786 22,652 26,166

3.322

..92 95 9899 97 103

5.8 7.7 5.3655.2 708.0 659.4

11.8 3,110 12,860–2.61.4 937 3,4550.6 214 1,1440.1 76 243

1,352 2,833 1,848155.6 276.8 227.1

5 / 151.9 to 3.0

619–150 to -43

3 / 6–1 / –1

1/15/2009 (2nd)n/aYesn/a

..

10

n/an/a

Macedonia, FYR









Countrydata

Sub-SaharanAfrica

Lowincome

1.3 0.4 0.72.0 2.0 5.1

9 14 114.3 4.0 3.70.94.4 3.2 3.72.2 .. ..

67.8 50.9 ..2.9 11.7 10.662 121 108

36.8 24.6 28.33,735 26,113 16,659

11 31 3541 60 63

2,582 1,297 2,04719.0 32.5 23.011.6 18.3 14.10.2 1.2 0.79.9 3.6 3.2

132 11,957 4,4713.81373.079 67 6597 89 91

0.1 0.8 0.3102.9 428.6 270.2

1.9 685 219–233.3

.. 590 436

.. 334 209

.. .. ..

.. 689 365

.. 308.4 303.9

18 / 271.7 to 2.1

1,513–104 to 56

8 / 16–3 / –3

12/7/2010 (2nd)n/aYesYesYes

10

n/an/a

Madagascar









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.1

.. 14 115.0 4.0 3.78.86.0 3.2 3.70.5 .. ..

73.9 50.9 ..15.0 11.7 10.6

92 121 10815.5 24.6 28.3

33,773 26,113 16,659

56 31 3580 60 63

2,163 1,297 2,0479.0 32.5 23.0

45.0 18.3 14.10.3 1.2 0.72.7 3.6 3.2116 11,957 4,4711.81453.459 67 65

100 89 91

0.1 0.8 0.3120.1 428.6 270.2

1.2 685 21917.5

.. 590 436

.. 334 209

.. .. ..

.. 689 365

.. 308.4 303.9

17 / 272.0 to 2.5

1,181-53 to 91

4 / 16–2 / –2

12/2/2003 (1st)n/a

..YesYes

..

..n/an/a

Malawi









Countrydata

East Asia &Pacifi c

Uppermiddleincome

3.0 2.5 1.89.5 10.3 6.5

9 .. 224.1 3.3 2.30.12.1 10.8 5.6

.. .. ..<2 16.8 ..

17.9 14.9 13.66 24 20.. 9.0 4.1

75 525 80

96 59 68100 88 92

3,750 4,860 3,69099.4 90.8 98.082.8 15.9 50.5

3.7 2.8 4.53.8 3.0 2.7

1,201 14,638 26,1663.818

..97 97 98

103 103 103

7.6 4.3 5.3585.7 827.1 659.4208.3 8,259 12,860

–220.246.5 1,928 3,45515.1 707 1,1441.0 .. 243

2,391 1,436 1,848191.2 259.5 227.1

21 / 301.6 to 1.9

2,875–160 to 117

13 / 26–2 / –3

4/14/2011 (2nd)n/a

..n/a

..

1011,475

n/an/a

Malaysia









Countrydata

SouthAsia

Uppermiddleincome

100.0 1.5 1.8100.0 4.4 6.5

.. 13 224.1 2.7 2.30.0

.. 50.6 5.6

.. .. ..<2 40.3 ..

.. 6.1 13.615 67 20

25.7 42.5 4.1.. 1,127 80

98 36 6891 87 92

2,042 2,728 3,690.. 62.1 98.0

100.0 58.9 50.56.0 1.7 4.5

11.1 1.3 2.7490 73,548 26,1662.379

3.5119 86 9898 92 103

3.0 1.3 5.3580.8 504.6 659.4

0.9 1,970 12,860.... 846 3,455.. 268 1,144.. 9 243

985 532 1,848200.3 193.5 227.1

25 / 311.5 to 1.8

1,972–2 to 319

22 / 27–3 / –3

11/5/2001 (1st)n/a

Yes, with GoalYes

..

..

..n/an/a

Maldives









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.111 14 11

4.6 4.0 3.70.7

10.9 3.2 3.7.. .. ..

51.4 50.9 ..2.4 11.7 10.6178 121 10827.9 24.6 28.3

25,366 26,113 16,659

36 31 3556 60 63

1,588 1,297 2,047.. 32.5 23.0

19.0 18.3 14.10.3 1.2 0.71.6 3.6 3.2

254 11,957 4,471..

1463.464 67 6580 89 91

0.0 0.8 0.344.2 428.6 270.2

0.6 685 219–9.7

.. 590 436

.. 334 209

.. .. ..

.. 689 365

.. 308.4 303.9

21 / 362.5 to 3.1

282–142 to 43

5 / 13–2 / –2

11/13/2000 (1st)n/a

..YesYes

10

n/an/a

Mali









Countrydata

Highincome

19.4 2.221.8 7.7

.. ..0.9 1.0

..53.5 10.422.2 ..

.. ..17.2 13.4

6 6.. .... ..

100 100100 100

4,431 5,445.. ..

87.5 87.39.7 10.79.4 1.8

.. ..

..

..

..100 9799 100

6.2 11.9274.3 354.4

2.6 13,285-0.10.2 1,5390.1 8130.1 460

1,935 4,94487.5 147.0

15 / 231.7 to 2.1

383–67 to –28

5 / 7–2 / –2

7/27/2010 (2nd)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Malta









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

99.0 2.5 1.799.4 10.3 6.5

.. .. 141.2 3.3 2.80.1

.. 10.8 18.7

.. .. ..

.. 16.8 ..3.1 14.9 9.526 24 69

.. 9.0 31.7

.. 525 4,874

73 59 4594 88 84

.. 4,860 2,754

.. 90.8 67.3

.. 15.9 29.33.1 2.8 2.65.6 3.0 2.4

.. 14,638 81,7891.8

106..

94 97 88101 103 93

1.9 4.3 1.6.. 827.1 523.9

0.1 8,259 3,744.... 1,928 1,705.. 707 687.. .. 17

610 1,436 680.. 259.5 217.9

25 / 301.4 to 1.8

2,7058 to 24021 / 27–3 / –3

11/24/2000 (1st)n/a

Yes, with Goaln/a

..

..

..n/an/a

Marshall Islands









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

1.0 0.4 1.720.4 2.0 6.5

.. 14 143.0 4.0 2.83.1

399.8 3.2 18.7.. .. ..

21.2 50.9 ..0.5 11.7 9.5111 121 69

16.7 24.6 31.717,325 26,113 4,874

26 31 4549 60 84

876 1,297 2,754.. 32.5 67.3

26.8 18.3 29.30.8 1.2 2.60.4 3.6 2.4

133 11,957 81,789..

1593.064 67 88

103 89 93

0.6 0.8 1.6343.6 428.6 523.9

2.0 685 3,744-1.3

.. 590 1,705

.. 334 687

.. .. 17

.. 689 680

.. 308.4 217.9

20 / 352.4 to 3.1

92–113 to 9

5 / 11–2 / –2

12/6/2008 (2nd)n/aYesYes

..

..

..n/an/a

Mauritania









Countrydata

Sub-SaharanAfrica

Uppermiddleincome

7.1 0.4 1.85.6 2.0 6.5

.. 14 220.8 4.0 2.30.0

26.4 3.2 5.621.4 .. ..

.. 50.9 ..4.5 11.7 13.615 121 20

.. 24.6 4.1

.. 26,113 80

91 31 6899 60 92

8,307 1,297 3,69099.4 32.5 98.098.0 18.3 50.5

4.8 1.2 4.54.4 3.6 2.726 11,957 26,166

3.523

..89 67 98

101 89 103

3.1 0.8 5.3269.6 428.6 659.4

4.0 685 12,860–0.2

.. 590 3,455

.. 334 1,144

.. .. 243947 689 1,848

85.9 308.4 227.1

19 / 261.3 to 1.7

2,041–165 to 67

8 / 14–3 / –3


00

n/an/a

Mauritius









Countrydata

Sub-SaharanAfrica

Uppermiddleincome

21.6 0.4 1.821.6 2.0 6.5

.. 14 22

.. 4.0 2.3

..

.. 3.2 5.6

.. .. ..

.. 50.9 ..2.2 11.7 13.6

.. 121 20

.. 24.6 4.1

.. 26,113 80

.. 31 68

.. 60 92

.. 1,297 3,690

.. 32.5 98.0

.. 18.3 50.5

.. 1.2 4.5

.. 3.6 2.7

.. 11,957 26,166

..

..

..

.. 67 98

.. 89 103

.. 0.8 5.3

.. 428.6 659.4

.. 685 12,860

..

.. 590 3,455

.. 334 1,144

.. .. 243

.. 689 1,848

.. 308.4 227.1

..1.5 to 1.8

..–24 to 112

13 / 20–3 / –3

n/an/an/an/a

..

n/an/an/an/a

Mayotte









Countrydata


Uppermiddleincome

2.9 1.5 1.82.7 3.8 6.535 35 221.9 2.0 2.30.1

19.3 2.0 5.65.5 .. ..<2 8.1 ..

11.1 20.8 13.617 23 20

3.4 3.8 4.13 206 80

85 79 6894 93 92

3,434 3,337 3,690.. 93.4 98.0

35.3 28.1 50.56.9 6.9 4.51.8 2.3 2.7

6,360 33,064 26,1664.353

..104 102 98102 102 103

4.3 2.8 5.3332.6 285.6 659.4475.8 1,584 12,86070.2

128.2 1,009 3,45542.5 442 1,144

4.6 21 2431,497 1,245 1,848119.8 130.6 227.1

14 / 291.7 to 2.8

752–178 to 10

6 / 12–2 / –2

4/20/2010 (4th)n/a

Yes, with Goaln/a

..

13210,122

n/an/a

Mexico









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

33.4 2.5 1.754.9 10.3 6.5

.. .. 140.1 3.3 2.81.3

.. 10.8 18.7

.. .. ..31.2 16.8 ..4.0 14.9 9.542 24 69

.. 9.0 31.7

.. 525 4,874

27 59 4594 88 84

1,450 4,860 2,754.. 90.8 67.3

17.5 15.9 29.32.8 2.8 2.63.5 3.0 2.4

.. 14,638 81,789

..140

..

.. 97 88102 103 93

0.6 4.3 1.6196.8 827.1 523.9

0.1 8,259 3,744.... 1,928 1,705.. 707 687.. .. 17.. 1,436 680.. 259.5 217.9

..1.4 to 1.7

..–85 to 411

26 / 27–3 / –3

10/30/1999 (1st)n/a

..n/a

..

..

..n/an/a

Micronesia, Fed. Sts.









Countrydata

Europe &Central

Asia

Lowermiddleincome

1.3 2.5 1.70.9 3.0 6.5

.. 18 14–0.8 0.3 2.80.3

191.5 6.5 18.79.2 .. ..<2 3.7 ..1.4 7.5 9.519 23 69

3.2 .. 31.7.. .. 4,874

79 89 4590 95 84

2,340 2,475 2,754.. .. 67.3

85.8 85.8 29.39.3 9.9 2.63.3 2.8 2.435 22,652 81,789

..81

3.493 95 88

101 97 93

1.3 7.7 1.6483.1 708.0 523.9

4.8 3,110 3,744–1.43.4 937 1,7050.8 214 6870.0 76 17

687 2,833 680263.6 276.8 217.9

5 / 142.0 to 3.3

553–72 to 11

3 / 5–1 / –2

1/27/2010 (2nd)n/a


40

n/an/a

Moldova









Countrydata

Highincome

100.0 2.2100.0 7.7

.. ..0.7 1.0

..

.. 10.4

.. ..

.. ..23.7 13.4

4 6.. .... ..

100 100100 100

.. 5,445

.. ..100.0 87.3

.. 10.7

.. 1.8

.. ..

..

..

..132 97

98 100

.. 11.9

.. 354.4

.. 13,2850.0

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

10 / 171.8 to 2.7

894–114 to 1

4 / 7–2 / –2

3/25/2011 (5th)30%n/an/a

..

n/an/a

..

..

Monaco









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

0.0 2.5 1.70.0 10.3 6.5

.. .. 141.2 3.3 2.82.61.4 10.8 18.7

.. .. ..22.4 16.8 ..13.4 14.9 9.5

32 24 695.3 9.0 31.7

.. 525 4,874

50 59 4576 88 84

1,552 4,860 2,75467.0 90.8 67.33.5 15.9 29.36.3 2.8 2.6

23.9 3.0 2.42 14,638 81,789

2.8863.493 97 88

103 103 93

4.1 4.3 1.61,146.7 827.1 523.9

10.9 8,259 3,744–2.16.1 1,928 1,7053.5 707 6870.0 .. 17

1,194 1,436 680345.1 259.5 217.9

–8 / 62.3 to 3.1

2411 to 50

2 / 4–1 / –1


315

n/an/a

Mongolia









Countrydata

Europe &Central

Asia

Uppermiddleincome

.. 2.5 1.8

.. 3.0 6.5

.. 18 221.3 0.3 2.30.0

.. 6.5 5.6

.. .. ..<2 3.7 ..

13.3 7.5 13.68 23 20

2.2 .. 4.1.. .. 80

92 89 6898 95 92

3,464 2,475 3,690.. .. 98.0.. 85.8 50.5

7.5 9.9 4.519.0 2.8 2.7

6 22,652 26,166..

56.... 95 98

100 97 103

3.1 7.7 5.3293.7 708.0 659.4

2.0 3,110 12,860–0.9

.. 937 3,455

.. 214 1,144

.. 76 2431,384 2,833 1,848139.9 276.8 227.1

..1.9 to 2.9

..–138 to –27

3 / 6–2 / –1

10/12/2010 (1st)n/a

..n/a

..

..

..n/an/a

Montenegro









Countrydata

MiddleEast &

N. Africa

Lowermiddleincome

0.7 1.4 1.73.8 9.7 6.519 20 142.1 2.5 2.80.1

43.4 121.9 18.74.6 .. ..2.5 3.6 ..1.5 4.0 9.536 34 699.9 6.8 31.7

.. .. 4,874

69 84 4581 87 84

1,911 2,512 2,75497.0 92.9 67.367.8 74.3 29.31.5 3.6 2.61.4 2.9 2.4

1,124 5,854 81,7893.094

..80 88 8888 93 93

1.5 3.8 1.6379.0 604.6 523.9

47.9 1,230 3,7443.6

10.6 287 1,7055.8 74 6870.0 7 17477 1,399 680

113.7 213.9 217.9

11 / 232.1 to 3.0

346–62 to –5

4 / 8–2 / –2


6330n/an/a

Morocco









Countrydata

Sub-SaharanAfrica

Lowincome

1.8 0.4 0.76.5 2.0 5.1

7 14 115.7 4.0 3.73.70.7 3.2 3.7

.. .. ..59.6 50.9 ..15.8 11.7 10.6135 121 10821.2 24.6 28.3

32,555 26,113 16,659

17 31 3547 60 63

877 1,297 2,04711.7 32.5 23.020.8 18.3 14.1

0.3 1.2 0.78.2 3.6 3.280 11,957 4,4714.0

1393.461 67 6589 89 91

0.1 0.8 0.3133.6 428.6 270.2

2.3 685 2197.7

12.8 590 4369.5 334 2090.3 .. ..427 689 365

529.7 308.4 303.9

19 / 291.9 to 2.4

1,031–69 to 61

5 / 15–2 / –3

6/2/2006 (1st)n/a

..Yes

..

00

n/an/a

Mozambique









Countrydata

EastAsia &Pacifi c

Lowincome

4.6 2.5 0.714.0 10.3 5.1

11 .. 112.5 3.3 3.70.13.3 10.8 3.7

24.8 .. .... 16.8 ..

6.3 14.9 10.666 24 108

29.6 9.0 28.37,943 525 16,659

81 59 3571 88 63

3,949 4,860 2,04713.0 90.8 23.011.9 15.9 14.11.3 2.8 0.7

.. 3.0 3.2556 14,638 4,471

..

..

..99 97 65

100 103 91

0.3 4.3 0.3.. 827.1 270.2

12.8 8,259 219..

77.2 1,928 43630.9 707 209

0.0 .. ..316 1,436 365

.. 259.5 303.9

18 / 81.7 to 2.3

2,091–84 to 97

4 / 14–2 / –2

..n/a

..

..

..

00

n/an/a

Myanmar









Countrydata

Sub-SaharanAfrica

Uppermiddleincome

0.3 0.4 1.82.9 2.0 6.5

.. 14 224.0 4.0 2.33.44.9 3.2 5.6

.. .. ..49.1 50.9 ..14.5 11.7 13.6

40 121 2017.5 24.6 4.1

4,589 26,113 80

33 31 6892 60 92

365 1,297 3,69034.0 32.5 98.012.8 18.3 50.53.2 1.2 4.57.0 3.6 2.7

9 11,957 26,166..

78..

87 67 98104 89 103

1.8 0.8 5.3311.4 428.6 659.4

4.0 685 12,860-5.75.1 590 3,4553.8 334 1,1440.0 .. 243

764 689 1,848135.4 308.4 227.1

13 / 272.2 to 2.9

285-67 to 23

6 / 13–2 / –2

10/7/2002 (1st)n/a

..n/a

..

..

..n/an/a

Namibia









Countrydata

EastAsia &Pacifi c

Uppermiddleincome

40.4 2.5 1.840.4 10.3 6.5

.. .. 22

.. 3.3 2.3

..

.. 10.8 5.6

.. .. ..

.. 16.8 ..

.. 14.9 13.640 24 20

.. 9.0 4.1

.. 525 80

50 59 6890 88 92

.. 4,860 3,690

.. 90.8 98.0

.. 15.9 50.55.6 2.8 4.5

.. 3.0 2.7

.. 14,638 26,166

..

..

..97 97 98

112 103 103

13.9 4.3 5.3.. 827.1 659.4

0.1 8,259 12,860–0.0

.. 1,928 3,455

.. 707 1,144

.. .. 243

.. 1,436 1,848

.. 259.5 227.1

25 / 311.3 to 2.1

2,445–60 to 565

18 / 26–3 / –3

10/30/1999 (1st)n/a

..n/a

..

..

..n/an/a

Nauru









Countrydata

SouthAsia

Lowincome

0.0 1.5 0.70.0 4.4 5.1

.. 13 115.8 2.7 3.70.75.1 50.6 3.7

27.7 .. ..55.1 40.3 ..17.0 6.1 10.6

50 67 10838.8 42.5 28.3103 1,127 16,659

31 36 3588 87 63

2,374 2,728 2,04743.6 62.1 23.055.9 58.9 14.1

0.7 1.7 0.70.6 1.3 3.234 73,548 4,4712.81072.870 86 6582 92 91

0.1 1.3 0.3120.0 504.6 270.2

3.5 1,970 2198.1

22.1 846 4364.5 268 2090.0 9 ..

338 532 365323.2 193.5 303.9

2 / 152.2 to 3.4

1,321–116 to 231

3 / 8–2 / –2

9/1/2004 (1st)n/a

..Yes

..

492

n/an/a

Nepal









Countrydata

Highincome

58.5 2.261.3 7.7

12 ..1.5 1.00.0

105.1 10.410.6 ..

.. ..12.4 13.4

4 6.. .... ..

100 100100 100

9,032 5,445.. ..

90.0 87.30.2 10.7

–2.3 1.8.. ....

31..

100 9799 100

10.6 11.9277.0 354.4173.7 13,285

2.521.3 1,53914.6 8133.8 460

5,016 4,944135.9 147.0

6 / 131.4 to 2.3

778–18 to 50

3 / 5–2 / –2

12/19/2009 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Netherlands









Countrydata

Highincome

8.0 2.234.3 7.7

.. ..2.5 1.0

..

.. 10.4

.. ..

.. ..5.5 13.4

.. 6

.. ..

.. ..

.. 100

.. 1003,391 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

12.8 11.9.. 354.4

3.1 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

19 / 251.4 to 1.7

1,498–122 to 118

7 / 12–3 / –3

n/an/an/an/a

..

n/an/an/an/a

New Caledonia









Countrydata

Highincome

2.7 2.212.6 7.7

32 ..1.3 1.00.00.6 10.43.2 ..

.. ..25.8 13.4

6 6.. .... ..

.. 100100 100

6,924 5,445.. ..

65.9 87.313.3 10.7–1.0 1.8

.. ..3.8

3.... 97

102 100

7.8 11.9304.1 354.4

33.1 13,285–26.727.6 1,53912.9 813

1.0 4604,193 4,944162.9 147.0

6 / 151.1 to 1.7

1,732–44 to 53

4 / 8–2 / –2

12/23/2009 (5th)10% / 20%

n/an/aYes

n/an/a

71,898

New Zealand









Countrydata


Lowermiddleincome

3.6 1.5 1.71.5 3.8 6.523 35 14

2.2 2.0 2.80.80.7 2.0 18.7

.. .. ..15.8 8.1 ..36.7 20.8 9.5

27 23 694.3 3.8 31.726 206 4,874

52 79 4585 93 84

2,077 3,337 2,75472.1 93.4 67.312.0 28.1 29.3

1.4 6.9 2.67.8 2.3 2.4

547 33,064 81,7893.81183.275 102 88

102 102 93

0.8 2.8 1.6308.2 285.6 523.9

4.3 1,584 3,744–13.1

6.0 1,009 1,7053.3 442 6870.0 21 17

540 1,245 680222.8 130.6 217.9

20 / 301.6 to 2.4

2,391–220 to 19

10 / 26–3 / –3

6/22/2011 (2nd)n/a

..n/aYes

5602n/an/a

Nicaragua









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.1

7 14 113.9 4.0 3.77.5

67.5 3.2 3.7.. .. ..

43.1 50.9 ..6.8 11.7 10.6143 121 108

39.9 24.6 28.337,958 26,113 16,659

9 31 3548 60 63

380 1,297 2,047.. 32.5 23.0

20.7 18.3 14.10.2 1.2 0.7

17.1 3.6 3.2107 11,957 4,471

..1733.241 67 6578 89 91

0.1 0.8 0.390.3 428.6 270.2

0.9 685 219–16.8

.. 590 436

.. 334 209

.. .. ..

.. 689 365

.. 308.4 303.9

19 / 352.4 to 2.8

151–71 to 36

5 / 12–2 / –2

12/9/2009 (2nd)n/a

..YesYes

..

..n/an/a

Niger









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.5 0.4 1.73.0 2.0 6.515 14 144.1 4.0 2.80.14.7 3.2 18.7

.. .. ..64.4 50.9 ..12.8 11.7 9.5143 121 6926.7 24.6 31.7

38,259 26,113 4,874

32 31 4558 60 84

1,528 1,297 2,75450.6 32.5 67.315.0 18.3 29.3

2.0 1.2 2.63.1 3.6 2.4

3,036 11,957 81,7894.0

1332.979 67 8885 89 93

0.6 0.8 1.6326.6 428.6 523.995.8 685 3,744

105.0130.3 590 1,705

21.6 334 6870.7 .. 17

701 689 680345.1 308.4 217.9

21 / 332.0 to 2.5

1,150–128 to 89

6 / 19–2 / –2

11/17/2003 (1st)n/a

..n/aYes

5312n/an/a

Nigeria








Population (thousands) 1.5 GDP ($ millions) ..Pop. growth (avg. ann. %, 1990–2010) -2.3 GNI per capita (Atlas $) ..

Countrydata

EastAsia &Pacifi c

Uppermiddleincome

10.4 2.5 1.810.4 10.3 6.5

.. .. 22

.. 3.3 2.3

..

.. 10.8 5.6

.. .. ..

.. 16.8 ..22.2 14.9 13.6

22 24 20.. 9.0 4.1.. 525 80

100 59 68100 88 92

.. 4,860 3,690

.. 90.8 98.0

.. 15.9 50.519.0 2.8 4.5

.. 3.0 2.7

.. 14,638 26,166

..

..

..126 97 98129 103 103

2.5 4.3 5.3.. 827.1 659.4

0.0 8,259 12,8600.1

.. 1,928 3,455

.. 707 1,144

.. .. 243

.. 1,436 1,848

.. 259.5 227.1

22 / 271.3 to 1.7

2,210–9 to 153

9 / 15–3 / –3

10/2/2001 (1st)n/a

..n/a

..

..

..n/an/a

Niue









Countrydata

Highincome

28.1 2.239.3 7.7

.. ..1.7 1.0

..

.. 10.4

.. ..

.. ..1.1 13.4

.. 6

.. ..

.. ..

94 10098 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

.. 11.9

.. 354.4

.. 13,285

..

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

24 / 301.4 to 1.8

7,3691 to 19717 / 26–3 / –3

n/an/an/an/a

..

n/an/an/an/a

Northern Mariana Islands









Countrydata

Highincome

4.9 2.29.3 7.7

.. ..1.1 1.00.00.5 10.45.4 ..

.. ..14.4 13.4

3 6.. .... ..

100 100100 100

3,105 5,445.. ..

80.5 87.318.8 10.7

2.8 1.8.. ..

3.86..

100 9799 100

10.5 11.9215.9 354.450.0 13,285

–25.316.9 1,539

4.7 8135.2 460

6,332 4,944134.9 147.0

–2 / 51.8 to 3.3

1,11941 to 131

2 / 5–2 / –2

1/22/2010 (5th)30% / 40%

n/an/a

..

n/an/a

..

..

Norway









Countrydata

Highincome

1.1 2.25.5 7.7

.. ..2.4 1.0

..94.7 10.44.0 ..

.. ..10.7 13.4

9 6.. .... ..

87 10088 100

3,473 5,44598.0 ..43.5 87.3

6.0 10.73.2 1.8

.. ..

..49

..80 9797 100

17.3 11.9703.9 354.4

45.7 13,285..

17.8 1,5390.6 8130.2 460

5,554 4,944229.3 147.0

21 / 302.0 to 2.4

125–16 to 31

4 / 12–2 / –2

..n/a

..n/a

..

00

n/an/a

Oman









Countrydata

SouthAsia

Lowermiddleincome

1.4 1.5 1.71.3 4.4 6.518 13 143.1 2.7 2.81.1

313.8 50.6 18.773.9 .. ..22.6 40.3 ..10.3 6.1 9.5

87 67 6931.3 42.5 31.7881 1,127 4,874

45 36 4590 87 84

2,790 2,728 2,75462.4 62.1 67.365.4 58.9 29.3

1.4 1.7 2.61.2 1.3 2.4

437 73,548 81,7893.51053.161 86 8882 92 93

1.0 1.3 1.6420.7 504.6 523.9163.2 1,970 3,744

6.5137.4 846 1,70526.8 268 687

0.8 9 17502 532 680

212.7 193.5 217.9

13 / 272.4 to 3.4

305–60 to 36

3 / 8–2 / –2

11/15/2003 (1st)n/a

..n/aYes

122,983

n/an/a

Pakistan









Countrydata

EastAsia & Pacifi c

Uppermiddleincome

21.4 2.5 1.855.6 10.3 6.5

.. .. 222.4 3.3 2.3

..

.. 10.8 5.6

.. .. ..

.. 16.8 ..2.0 14.9 13.619 24 20

.. 9.0 4.1

.. 525 80

83 59 6884 88 92

.. 4,860 3,690

.. 90.8 98.0

.. 15.9 50.57.2 2.8 4.51.4 3.0 2.7

.. 14,638 26,166

..116

..104 97 98100 103 103

10.5 4.3 5.3827.5 827.1 659.4

0.2 8,259 12,860.... 1,928 3,455.. 707 1,144.. .. 243.. 1,436 1,848.. 259.5 227.1

24 / 311.4 to 1.7

3,259–89 to 172

25 / 27–3 / –3

6/18/2003 (1st)n/a

..n/a

..

..

..n/an/a

Palau









Countrydata


Uppermiddleincome

3.7 1.5 1.84.0 3.8 6.539 35 223.5 2.0 2.30.20.3 2.0 5.6

.. .. ..2.4 8.1 ..

18.7 20.8 13.620 23 20

.. 3.8 4.135 206 80

69 79 6893 93 92

2,019 3,337 3,69088.1 93.4 98.038.1 28.1 50.54.3 6.9 4.58.8 2.3 2.7

339 33,064 26,1663.061

..102 102 98101 102 103

2.0 2.8 5.3173.8 285.6 659.4

6.9 1,584 12,86023.73.2 1,009 3,4551.2 442 1,1440.0 21 243

896 1,245 1,84875.5 130.6 227.1

21 / 301.6 to 2.2

2,692–228 to 107

14 / 27–3 / –3

7/20/2001 (1st)n/a

..n/a

..

7138n/an/a

Panama









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

1.8 2.5 1.72.0 10.3 6.5

.. .. 141.6 3.3 2.80.70.0 10.8 18.7

.. .. ..35.8 16.8 ..

3.1 14.9 9.561 24 69

18.1 9.0 31.718,012 525 4,874

45 59 4540 88 84

4,415 4,860 2,754.. 90.8 67.3

3.5 15.9 29.30.6 2.8 2.60.3 3.0 2.4

150 14,638 81,789..

1012.953 97 88

.. 103 93

0.3 4.3 1.6158.0 827.1 523.9

2.1 8,259 3,744–0.4

.. 1,928 1,705

.. 707 687

.. .. 17

.. 1,436 680

.. 259.5 217.9

20 / 301.4 to 1.8

3,142–163 to 421

16 / 26–3 / –3

2/27/2002 (1st)n/aYesn/a

..

1215n/an/a

Papua New Guinea









Countrydata


Lowermiddleincome

0.0 1.5 1.70.0 3.8 6.531 35 14

3.3 2.0 2.80.70.5 2.0 18.7

.. .. ..5.1 8.1 ..5.4 20.8 9.525 23 69

.. 3.8 31.716 206 4,874

70 79 4586 93 84

2,358 3,337 2,75496.7 93.4 67.350.8 28.1 29.3

2.9 6.9 2.62.3 2.3 2.445 33,064 81,7893.8102

..93 102 88

100 102 93

0.7 2.8 1.6151.9 285.6 523.9

4.1 1,584 3,74419.515.4 1,009 1,705

9.1 442 6870.0 21 17749 1,245 680

182.3 130.6 217.9

18 / 291.9 to 2.6

1,130–48 to 112

3 / 12–1 / –1

4/10/2002 (1st)n/a

..n/a

..

20

n/an/a

Paraguay









Countrydata


Uppermiddleincome

0.4 1.5 1.81.7 3.8 6.531 35 221.7 2.0 2.32.01.2 2.0 5.6

.. .. ..5.9 8.1 ..

13.6 20.8 13.619 23 20

5.4 3.8 4.1478 206 80

68 79 6882 93 92

3,910 3,337 3,69085.7 93.4 98.013.9 28.1 50.5

2.2 6.9 4.54.8 2.3 2.7

1,663 33,064 26,1663.041..

101 102 9899 102 103

1.4 2.8 5.3178.7 285.6 659.440.5 1,584 12,86056.817.2 1,009 3,4557.6 442 1,1440.3 21 243

550 1,245 1,84869.2 130.6 227.1

14 / 262.1 to 2.7

1,493–57 to 181

8 / 23–3 / –3

9/28/2010 (2nd)n/a

Yes, with Goaln/a

..

25620n/an/a

Peru









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

6.0 2.5 1.710.5 10.3 6.5

14 .. 143.6 3.3 2.80.8

16.5 10.8 18.7.. .. ..

22.6 16.8 ..10.9 14.9 9.5

29 24 6920.7 9.0 31.7

96 525 4,874

76 59 4591 88 84

3,229 4,860 2,75489.7 90.8 67.39.9 15.9 29.37.2 2.8 2.60.9 3.0 2.4

2,817 14,638 81,789..

136..

94 97 88102 103 93

0.9 4.3 1.6272.6 827.1 523.983.2 8,259 3,744–0.151.9 1,928 1,70513.0 707 687

0.4 .. 17424 1,436 680

125.9 259.5 217.9

22 / 301.4 to 1.8

2,348–136 to 140

13 / 24–2 / –3

5/19/2000 (1st)n/a

..n/aYes

57245n/an/a

Philippines









Countrydata

Highincome

1.7 2.22.5 7.7

4 ..0.0 1.00.0

24.5 10.40.4 ..<2 ..

21.8 13.46 6.. .... ..

90 100100 100

3,475 5,445.. ..

68.2 87.37.9 10.71.9 1.8

4,638 ..3.362

..95 97

100 100

8.3 11.9503.8 354.4316.1 13,285–37.270.0 1,53930.2 813

2.5 4602,663 4,944153.6 147.0

4 / 121.9 to 2.8

600–12 to 64

2 / 5–2 / –2

3/12/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a170

Poland









Countrydata

Highincome

2.3 2.25.2 7.739 ..1.5 1.00.0

31.3 10.411.4 ..

.. ..5.9 13.4

4 6.. .... ..

100 10099 100

3,455 5,445.. ..

86.0 87.33.8 10.70.6 1.8

.. ..

..30

..103 97101 100

5.3 11.9241.4 354.456.3 13,285–14.112.2 1,539

6.0 8130.8 460

2,210 4,944102.0 147.0

10 / 201.3 to 2.3

855–113 to –7

5 / 9–2 / –2

6/11/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Portugal









Countrydata

Highincome

7.7 2.211.3 7.7

69 ..2.2 1.00.0

14.0 10.48.5 ..

.. ..10.1 13.4

.. 6

.. ..

.. ..

.. 100

.. 1001,878 5,445

.. ..95.0 87.3

.. 10.7

.. 1.8

.. ..

..43

..

.. 97102 100

.. 11.9

.. 354.4

.. 13,285

..

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

21 / 291.4 to 1.8

2,054–133 to 37

13 / 24–3 / –3

n/an/an/an/a

..

n/an/an/an/a

Puerto Rico








Population (millions) 1.8 GDP ($ billions) 98.3Pop. growth (avg. ann. %, 1990–2010) 6.6 GNI per capita (Atlas $) ..

Countrydata

Highincome

13.4 2.223.1 7.7

.. ..6.8 1.0

..471.4 10.4

.. ..

.. ..0.7 13.4

8 6.. .... ..

100 100100 100

4,746 5,44598.7 ..90.0 87.310.1 10.78.3 1.8

.. ..

..36

..108 97120 100

49.1 11.9636.1 354.468.5 13,285

..15.7 1,5390.2 8130.0 460

14,911 4,944203.7 147.0

21 / 332.3 to 2.9

74–23 to 8

5 / 9–2 / –2

6/20/2011 (1st)n/a

..n/a

..

10

n/an/a

Qatar









Countrydata

Europe &Central

Asia

Uppermiddleincome

2.9 2.5 1.82.9 3.0 6.5

9 18 22–0.3 0.3 2.30.1

21.7 6.5 5.62.2 .. ..<2 3.7 ..7.1 7.5 13.614 23 20

3.5 .. 4.1.. .. 80

72 89 68.. 95 92

2,825 2,475 3,690.. .. 98.0

30.2 85.8 50.56.1 9.9 4.52.1 2.8 2.7

680 22,652 26,1663.372

..96 95 9899 97 103

4.4 7.7 5.3373.1 708.0 659.494.7 3,110 12,860

–36.524.3 937 3,45511.5 214 1,144

0.7 76 2431,602 2,833 1,848148.2 276.8 227.1

4 / 142.0 to 3.1

637–92 to 2

3 / 5–1 / –2

2/15/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a15

2,405

Romania








Population (millions) 141.8 GDP ($ billions) 1,479.8Pop. growth (avg. ann. %, 1990–2010) –0.2 GNI per capita (Atlas $) 9,910

Countrydata

Europe &Central

Asia

Uppermiddleincome

1.9 2.5 1.82.9 3.0 6.518 18 22

–0.3 0.3 2.30.11.5 6.5 5.62.0 .. ..<2 3.7 ..9.0 7.5 13.612 23 20

.. .. 4.1

.. .. 80

87 89 6896 95 92

2,281 2,475 3,690.. .. 98.0

80.1 85.8 50.512.8 9.9 4.5

2.9 2.8 2.716,097 22,652 26,166

..120

..95 95 9898 97 103

12.0 7.7 5.3815.1 708.0 659.4

1,708.7 3,110 12,860–656.5562.8 937 3,455

76.1 214 1,14459.7 76 243

4,561 2,833 1,848334.8 276.8 227.1

–10 / 02.6 to 3.7

46024 to 79

2 / 4–2 / –2

3/16/2010 (5th)15% / 25%

n/an/aYes

n/an/a25

7,211

Russian Federation









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.1

.. 14 118.3 4.0 3.71.31.6 3.2 3.7

.. .. ..76.8 50.9 ..10.0 11.7 10.6

91 121 10818.0 24.6 28.3

11,429 26,113 16,659

54 31 3565 60 63

1,829 1,297 2,047.. 32.5 23.0

19.0 18.3 14.10.5 1.2 0.70.8 3.6 3.263 11,957 4,471

..453.754 67 65

100 89 91

0.1 0.8 0.371.1 428.6 270.20.7 685 219

–7.0.. 590 436.. 334 209.. .. .... 689 365.. 308.4 303.9

12 / 242.1 to 2.4

1,212–12 to 211

8 / 26–2 / –3

9/6/2005 (1st)n/a

..YesYes

30

n/an/a

Rwanda









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

7.3 2.5 1.715.6 10.3 6.5

.. .. 141.1 3.3 2.80.0

.. 10.8 18.7

.. .. ..

.. 16.8 ..3.4 14.9 9.520 24 69

.. 9.0 31.7

.. 525 4,874

100 59 4588 88 84

.. 4,860 2,754

.. 90.8 67.314.2 15.9 29.31.2 2.8 2.60.4 3.0 2.4

.. 14,638 81,7893.5604.093 97 88

105 103 93

0.9 4.3 1.6213.0 827.1 523.9

0.2 8,259 3,744–0.1

.. 1,928 1,705

.. 707 687

.. .. 17320 1,436 680

80.4 259.5 217.9

24 / 301.3 to 1.6

2,991–41 to 196

16 / 25–3 / –3

6/14/2010 (2nd)n/a

..Yes

..

..

..n/an/a

Samoa









Countrydata

Highincome

0.0 2.20.0 7.7

.. ..1.5 1.0

..

.. 10.4

.. ..

.. ..

.. 13.42 6.. .... ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..92 97

103 100

.. 11.9

.. 354.4

.. 13,2850.0

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

8 / 161.9 to 3.0

840–111 to 3

4 / 6–1 / –1

8/24/2009 (1st)n/aYesn/a

..

..

..n/an/a

San Marino









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

14.7 0.4 1.711.1 2.0 6.5

.. 14 143.5 4.0 2.8

..0.3 3.2 18.7

.. .. ..29.7 50.9 ..

.. 11.7 9.580 121 69

13.1 24.6 31.71,961 26,113 4,874

26 31 4589 60 84

4,056 1,297 2,754.. 32.5 67.3

68.1 18.3 29.32.4 1.2 2.61.5 3.6 2.450 11,957 81,789

..1633.185 67 88

100 89 93

0.8 0.8 1.6496.2 428.6 523.9

0.1 685 3,744–1.5

.. 590 1,705

.. 334 687

.. .. 17280 689 680

180.0 308.4 217.9

21 / 271.5 to 2.0

2,169–42 to 137

20 / 27–3 / –3

5/19/2005 (1st)n/a

..Yes

..

..

..n/an/a

São Tomé and Príncipe









Countrydata

Highincome

0.5 2.21.0 7.739 ..3.1 1.00.0

943.3 10.4.. .... ..

31.3 13.418 6

5.3 ..7 ..

99 10096 100

4,161 5,44599.0 ..21.5 87.33.0 10.75.0 1.8

.. ..

..12

..88 9791 100

16.6 11.9805.7 354.4433.6 13,285-15.248.2 1,539

6.5 8132.2 460

5,888 4,944292.9 147.0

18 / 312.3 to 2.9

..–27 to 9

5 / 9–1 / –2

11/29/2005 (1st)n/a

..n/a

..

00

n/an/a

Saudi Arabia









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

4.5 0.4 1.714.8 2.0 6.5

23 14 143.2 4.0 2.80.68.6 3.2 18.70.7 .. ..

33.5 50.9 ..24.1 11.7 9.5

75 121 6914.5 24.6 31.7

7,077 26,113 4,874

51 31 4569 60 84

1,135 1,297 2,75442.0 32.5 67.329.3 18.3 29.3

0.5 1.2 2.61.8 3.6 2.4

258 11,957 81,7892.8

1543.557 67 8895 89 93

0.4 0.8 1.6246.0 428.6 523.9

5.0 685 3,744–10.5

7.1 590 1,7054.1 334 6870.0 .. 17

243 689 680142.2 308.4 217.9

21 / 352.0 to 2.7

687–124 to 37

7 / 17–2 / –3

9/16/2010 (2nd)n/a

..YesYes

10

n/an/a

Senegal









Countrydata

Europe &Central

Asia

Uppermiddleincome

0.2 2.5 1.80.1 3.0 6.515 18 22

0.0 0.3 2.30.0

.. 6.5 5.60.6 .. ..<2 3.7 ..6.0 7.5 13.6

7 23 201.8 .. 4.1

.. .. 80

92 89 6899 95 92

4,623 2,475 3,690.. .. 98.0

47.7 85.8 50.56.5 9.9 4.53.4 2.8 2.7107 22,652 26,166

..922.996 95 98

101 97 103

6.8 7.7 5.3663.2 708.0 659.4

49.9 3,110 12,860–8.77.8 937 3,4554.6 214 1,1444.5 76 243

1,974 2,833 1,848198.1 276.8 227.1

..2.0 to 3.1

..–125 to -15

3 / 6–1 / –1

11/29/2010 (1st)n/a

..n/a

..

00

n/an/a

Serbia









Countrydata

Sub-SaharanAfrica

Uppermiddleincome

43.9 0.4 1.841.3 2.0 6.5

.. 14 221.6 4.0 2.30.1

.. 3.2 5.6

.. .. ..<2 50.9 ..

42.0 11.7 13.614 121 20

.. 24.6 4.1

.. 26,113 80

.. 31 68

.. 60 92

.. 1,297 3,690

.. 32.5 98.096.5 18.3 50.5

9.4 1.2 4.539.4 3.6 2.7

15 11,957 26,166..

103..

105 67 98103 89 103

7.8 0.8 5.3404.4 428.6 659.4

0.7 685 12,860–0.8

.. 590 3,455

.. 334 1,144

.. .. 2432,411 689 1,848120.0 308.4 227.1

25 / 301.5 to 1.8

1,970–75 to 226

18 / 25–3 / –3

11/15/2020 (1st)n/a

..n/a

..

..

..n/an/a

Seychelles









Countrydata

Sub-SaharanAfrica

Lowincome

3.0 0.4 0.75.1 2.0 5.1

.. 14 112.7 4.0 3.70.20.3 3.2 3.7

.. .. ..53.4 50.9 ..

5.0 11.7 10.6174 121 108

21.3 24.6 28.336,141 26,113 16,659

13 31 3549 60 63

1,402 1,297 2,047.. 32.5 23.0

8.0 18.3 14.10.2 1.2 0.74.5 3.6 3.2

168 11,957 4,4713.01413.0

.. 67 6568 89 91

0.2 0.8 0.3332.2 428.6 270.2

1.3 685 219.... 590 436.. 334 209.. .. .... 689 365.. 308.4 303.9

21 / 311.8 to 2.3

2,526–96 to 128

9 / 24–3 / –3


..

00

n/an/a

Sierra Leone









Countrydata

Highincome

8.1 2.212.1 7.7

95 ..2.6 1.0

..

.. 10.4

.. ..

.. ..5.4 13.4

3 63.3 ..

.. ..

100 100100 100

.. 5,445100.0 ..100.0 87.3

7.7 10.717.3 1.8

.. ..

..1.... 97.. 100

6.7 11.9139.0 354.432.3 13,285

..2.2 1,5391.1 8132.5 460

3,704 4,94480.2 147.0

23 / 301.5 to 1.8

2,497–134 to 49

12 / 26–3 / –3

11/12/2010 (2nd)n/a

Yes, with Goaln/a

..

20

n/an/a

Singapore









Countrydata

Highincome

.. 2.2

.. 7.7

.. ..

.. 1.0

..

.. 10.4

.. ..

.. ..

.. 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

.. 11.9

.. 354.4

.. 13,285

..

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

..

..

..

..

..

..

n/an/an/an/a

..

n/an/an/an/a

Sint Maarten (Dutch part)









Countrydata

Highincome

0.0 2.20.0 7.7

.. ..0.2 1.00.0

.. 10.41.0 ..<2 ..

23.5 13.48 6.. .... ..

100 100100 100

4,327 5,445.. ..

87.0 87.36.6 10.70.6 1.8

.. ..

..48

..97 97

101 100

6.9 11.9338.6 354.4

37.6 13,285–3.43.9 1,5393.4 8130.4 460

3,178 4,944165.1 147.0

2 / 122.0 to 2.9

824–44 to 45

3 / 5–1 / –2

2/15/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

00

Slovak Republic









Countrydata

Highincome

0.2 2.21.3 7.7

.. ..–0.1 1.00.0

.. 10.40.9 ..<2 ..

12.1 13.43 6.. .... ..

100 10099 100

5,257 5,445.. ..

100.0 87.310.6 10.70.8 1.8

.. ..

..37

..96 9799 100

8.5 11.9312.1 354.4

17.2 13,285–8.53.5 1,5391.2 8130.5 460

3,455 4,944138.3 147.0

4 / 142.0 to 3.0

1,161–93 to 5

3 / 6–1 / –1

4/6/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

Slovenia









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

11.5 2.5 1.713.4 10.3 6.5

.. .. 144.3 3.3 2.80.1

.. 10.8 18.7

.. .. ..

.. 16.8 ..0.1 14.9 9.527 24 69

11.5 9.0 31.713,718 525 4,874

29 59 4569 88 84

3,265 4,860 2,754.. 90.8 67.3

2.4 15.9 29.31.6 2.8 2.6

35.0 3.0 2.45 14,638 81,789

2.074

2.7.. 97 88

94 103 93

0.4 4.3 1.6160.1 827.1 523.9

0.2 8,259 3,744.... 1,928 1,705.. 707 687.. .. 17

129 1,436 68055.5 259.5 217.9

22 / 301.4 to 1.7

3,028–107 to 314

22 / 27–3 / –3

9/29/2004 (1st)n/a

..Yes

..

..

..n/an/a

Solomon Islands









Countrydata

Sub-SaharanAfrica

Lowincome

0.6 0.4 0.72.2 2.0 5.116 14 11

2.9 4.0 3.74.6

55.0 3.2 3.7.. .. .... 50.9 ..

0.6 11.7 10.6180 121 10832.8 24.6 28.3

8,711 26,113 16,659

23 31 3530 60 63

371 1,297 2,047.. 32.5 23.0

11.8 18.3 14.10.1 1.2 0.7

.. 3.6 3.21 11,957 4,471........ 67 65

53 89 91

0.1 0.8 0.3.. 428.6 270.2

0.6 685 219.... 590 436.. 334 209.. .. .... 689 365.. 308.4 303.9

21 / 331.9 to 2.2

282–4 to 111

9 / 21–2 / –3

..n/a

..

..

..

..

..n/an/a

Somalia









Countrydata

Sub-SaharanAfrica

Uppermiddleincome

0.1 0.4 1.80.5 2.0 6.534 14 222.6 4.0 2.31.8

27.9 3.2 5.6.. .. ..

17.4 50.9 ..6.9 11.7 13.657 121 20

.. 24.6 4.180 26,113 80

77 31 6891 60 92

4,414 1,297 3,69075.0 32.5 98.017.3 18.3 50.54.9 1.2 4.50.4 3.6 2.7

2,107 11,957 26,166..

35..

93 67 9899 89 103

8.9 0.8 5.3930.3 428.6 659.4435.9 685 12,860–18.663.8 590 3,45524.0 334 1,144

2.6 .. 2432,921 689 1,848312.7 308.4 227.1

11 / 251.9 to 2.7

495–78 to 33

4 / 10–2 / –2

12/11/2003 (1st)n/a


201,900

n/an/a

South Africa









Countrydata

Highincome

1.3 2.26.6 7.724 ..

1.0 1.00.7

33.4 10.411.9 ..

.. ..8.6 13.4

5 6.. .... ..

100 100100 100

2,940 5,445.. ..

99.0 87.38.9 10.71.8 1.8

.. ..

..44

..103 97102 100

7.2 11.9255.1 354.4329.3 13,285–28.636.3 1,53926.5 813

9.1 4602,781 4,944103.2 147.0

8 / 191.5 to 2.6

636–112 to -18

4 / 8–2 / –2

12/18/2009 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

30

Spain









Countrydata

SouthAsia

Lowermiddleincome

3.9 1.5 1.75.4 4.4 6.5

.. 13 140.3 2.7 2.82.2

24.5 50.6 18.7.. .. ..

7.0 40.3 ..20.8 6.1 9.5

17 67 6921.6 42.5 31.7

21 1,127 4,874

91 36 4590 87 84

3,664 2,728 2,75476.6 62.1 67.381.0 58.9 29.31.9 1.7 2.61.0 1.3 2.472 73,548 81,789

3.5893.497 86 88

104 92 93

0.6 1.3 1.6138.5 504.6 523.9

11.8 1,970 3,744379.110.2 846 1,705

2.1 268 6870.0 9 17

449 532 680105.5 193.5 217.9

23 / 311.5 to 1.8

1,71211 to 196

8 / 24–3 / –3

11/6/2000 (1st)n/a

..n/aYes

7238n/an/a

Sri Lanka









Countrydata


Uppermiddleincome

19.0 1.5 1.822.1 3.8 6.5

.. 35 220.8 2.0 2.3

..

.. 2.0 5.60.0 .. ..

.. 8.1 ..3.6 20.8 13.6

8 23 20.. 3.8 4.1.. 206 80

96 79 6899 93 92

.. 3,337 3,690

.. 93.4 98.0

.. 28.1 50.55.8 6.9 4.5

24.3 2.3 2.713 33,064 26,166

3.595

..96 102 98

104 102 103

4.9 2.8 5.3350.5 285.6 659.4

0.2 1,584 12,860–0.1

.. 1,009 3,455

.. 442 1,144

.. 21 2431,645 1,245 1,848122.1 130.6 227.1

21 / 281.3 to 1.8

2,133–102 to 32

12 / 23–3 / –3

11/30/2001 (1st)n/a

..n/a

..

..

..n/an/a

St. Kitts and Nevis









Countrydata


Uppermiddleincome

8.0 1.5 1.88.0 3.8 6.5

.. 35 221.1 2.0 2.3

..

.. 2.0 5.6

.. .. ..20.9 8.1 ..14.3 20.8 13.6

16 23 20.. 3.8 4.1.. 206 80

89 79 6898 93 92

.. 3,337 3,690

.. 93.4 98.0

.. 28.1 50.52.6 6.9 4.5

13.0 2.3 2.711 33,064 26,166

3.3524.096 102 9899 102 103

2.3 2.8 5.3253.7 285.6 659.4

0.4 1,584 12,860-0.3

.. 1,009 3,455

.. 442 1,144

.. 21 243760 1,245 1,84882.7 130.6 227.1

22 / 291.4 to 1.7

2,301–159 to 14

14 / 24–3 / –3

11/30/2001 (1st)n/a

..n/a

..

..

..n/an/a

St. Lucia









Countrydata

Highincome

.. 2.2

.. 7.7

.. ..

.. 1.0

..

.. 10.4

.. ..

.. ..

.. 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

.. 11.9

.. 354.4

.. 13,285

..

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

..

..

..

..

..

..

n/an/an/an/a

..

n/an/an/an/a

St. Martin (French part)










Countrydata


Uppermiddleincome

22.0 1.5 1.822.0 3.8 6.5

.. 35 220.9 2.0 2.30.0

.. 2.0 5.6

.. .. ..

.. 8.1 ..10.9 20.8 13.6

21 23 20.. 3.8 4.1.. 206 80

.. 79 68

.. 93 923,387 3,337 3,690

.. 93.4 98.070.0 28.1 50.54.5 6.9 4.5

17.8 2.3 2.735 33,064 26,166

..75

3.8109 102 98

98 102 103

1.8 2.8 5.3215.2 285.6 659.4

0.2 1,584 12,860–0.1

.. 1,009 3,455

.. 442 1,144

.. 21 243642 1,245 1,84875.7 130.6 227.1

23 / 301.4 to 1.7

1,583–165 to 15

15 / 25–3 / –3

11/21/2000 (1st)n/a

..n/a

..

..

..n/an/a

St. Vincent & the Grenadines









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.1 0.4 1.70.2 2.0 6.512 14 145.1 4.0 2.82.8

123.8 3.2 18.71.0 .. ..

.. 50.9 ..4.9 11.7 9.5

103 121 6931.7 24.6 31.7

12,805 26,113 4,874

34 31 4557 60 84

587 1,297 2,75435.9 32.5 67.336.3 18.3 29.3

1.1 1.2 2.64.7 3.6 2.4

478 11,957 81,789..

1352.257 67 8889 89 93

0.3 0.8 1.6173.2 428.6 523.9

14.1 685 3,74417.867.4 590 1,70549.5 334 687

0.0 .. 17372 689 680

187.5 308.4 217.9

19 / 342.1 to 2.6

417–69 to 44

5 / 17–2 / –2

6/7/2003 (1st)n/a

..Yes

..

00

n/an/a

Sudan









Countrydata


Uppermiddleincome

3.4 1.5 1.868.2 3.8 6.5

.. 35 221.8 2.0 2.30.30.8 2.0 5.6

.. .. ..15.5 8.1 ..11.4 20.8 13.6

31 23 207.5 3.8 4.1

681 206 80

84 79 6893 93 92

3,750 3,337 3,690.. 93.4 98.0

26.3 28.1 50.52.1 6.9 4.5

–2.9 2.3 2.760 33,064 26,166

..158

..88 102 98

107 102 103

4.7 2.8 5.3697.7 285.6 659.4

2.4 1,584 12,8601.5

.. 1,009 3,455

.. 442 1,144

.. 21 2431,400 1,245 1,848213.8 130.6 227.1

21 / 301.9 to 2.9

2,331–138 to 107

10 / 27–2 / –3

3/27/2006 (1st)n/a

..n/a

..

..

..n/an/a

Suriname









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.0 0.4 1.70.0 2.0 6.5

.. 14 142.1 4.0 2.89.2

39.5 3.2 18.7.. .. ..

62.9 50.9 ..3.0 11.7 9.578 121 696.1 24.6 31.757 26,113 4,874

55 31 4569 60 84

1,148 1,297 2,754.. 32.5 67.3

30.0 18.3 29.36.5 1.2 2.62.5 3.6 2.415 11,957 81,789

..124

..72 67 8892 89 93

0.9 0.8 1.6205.6 428.6 523.9

1.1 685 3,744–3.3

.. 590 1,705

.. 334 687

.. .. 17373 689 68081.5 308.4 217.9

16 / 272.0 to 2.4

788–82 to 34

4 / 11–2 / –2

5/21/2002 (1st)n/a

..n/a

..

00

n/an/a

Swaziland









Countrydata

Highincome

1.5 2.26.3 7.714 ..

0.6 1.00.01.6 10.4

.. ..

.. ..11.3 13.4

3 6.. .... ..

100 100100 100

5,086 5,445.. ..

23.6 87.315.2 10.7

1.2 1.8.. ..

3.814

..95 9799 100

5.3 11.9155.1 354.449.0 13,285

–41.611.3 1,5395.9 8132.1 460

5,414 4,944160.7 147.0

–2 / 62.1 to 3.1

62435 to 107

2 / 4–2 / –2

2/4/2010 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

00

Sweden









Countrydata

Highincome

0.0 2.20.0 7.715 ..

0.8 1.00.06.5 10.4

.. ..

.. ..22.8 13.4

5 6.. .... ..

100 100100 100

6,579 5,445.. ..

100.0 87.34.1 10.7

–1.2 1.8.. ..

4.826

..96 9798 100

5.3 11.9138.7 354.440.4 13,285

0.14.7 1,5392.4 8132.1 460

3,362 4,94489.8 147.0

2 / 91.7 to 2.8

1,537–89 to 11

3 / 6–1 / –1

12/14/2009 (5th)20% / 30%

n/an/aYes

n/an/a

..

..

Switzerland









Countrydata

MiddleEast &

N. Africa

Lowermiddleincome

0.1 1.4 1.70.3 9.7 6.534 20 143.1 2.5 2.80.5

235.0 121.9 18.78.9 .. ..<2 3.6 ..0.6 4.0 9.516 34 69

10.0 6.8 31.7.. .. 4,874

96 84 4589 87 84

1,708 2,512 2,75492.7 92.9 67.391.0 74.3 29.33.4 3.6 2.62.3 2.9 2.465 5,854 81,7893.5

134..

112 88 8897 93 93

3.6 3.8 1.6808.0 604.6 523.9

71.6 1,230 3,744..

12.5 287 1,7055.5 74 6870.0 7 17

1,123 1,399 680239.5 213.9 217.9

11 / 252.2 to 3.1

318–57 to -13

3 / 7–2 / –1

12/29/2010 (1st)n/a

..n/aYes

30

n/an/a

Syrian Arab Republic









Countrydata

Europe &Central

AsiaLow

income

0.0 2.5 0.70.0 3.0 5.1

.. 18 110.4 0.3 3.75.4

18.0 6.5 3.714.8 .. ..21.5 3.7 ..

4.1 7.5 10.663 23 108

14.9 .. 28.39 .. 16,659

94 89 3570 95 63

2,731 2,475 2,047.. .. 23.0.. 85.8 14.1

7.0 9.9 0.70.3 2.8 3.256 22,652 4,471

..1472.898 95 6591 97 91

0.5 7.7 0.3264.0 708.0 270.2

3.1 3,110 219–1.93.9 937 4361.4 214 2090.4 76 ..

342 2,833 365180.3 276.8 303.9

-4 / 82.3 to 3.4

491–46 to 27

3 / 7–1 / –1

12/31/2008 (2nd)n/aYesn/a

..

00

n/an/a

Tajikistan









Countrydata

Sub-SaharanAfrica

Lowincome

0.2 0.4 0.71.3 2.0 5.1

7 14 114.5 4.0 3.71.56.2 3.2 3.7

.. .. ..67.9 50.9 ..27.7 11.7 10.6

76 121 10816.7 24.6 28.3

24,088 26,113 16,659

24 31 3554 60 63

1,110 1,297 2,04713.9 32.5 23.0

7.4 18.3 14.10.2 1.2 0.71.9 3.6 3.2

625 11,957 4,4713.51273.3102 67 6596 89 91

0.2 0.8 0.3130.4 428.6 270.2

6.5 685 219913.632.0 590 43621.6 334 2090.0 .. ..

451 689 365373.1 308.4 303.9

17 / 281.9 to 2.2

1,071–9 to 167

6 / 22–2 / –3

7/4/2003 (1st)n/a

..Yes

..

156

n/an/a

Tanzania









Countrydata

EastAsia &Pacifi c

Uppermiddleincome

4.2 2.5 1.813.8 10.3 6.5

10 .. 221.7 3.3 2.33.8

25.5 10.8 5.6.. .. ..

<2 16.8 ..19.6 14.9 13.6

13 24 207.0 9.0 4.1

322 525 80

96 59 6898 88 92

2,951 4,860 3,69099.3 90.8 98.098.5 15.9 50.5

1.8 2.8 4.52.0 3.0 2.7

4,720 14,638 26,1663.817.... 97 98

103 103 103

4.2 4.3 5.3567.3 827.1 659.4285.7 8,259 12,860

–7.983.3 1,928 3,45522.3 707 1,144

1.1 .. 2431,504 1,436 1,848210.0 259.5 227.1

21 / 311.7 to 2.1

1,622–109 to 76

4 / 17–2 / –2

3/24/2011 (2nd)n/a

..n/aYes

55902n/an/a

Thailand








Population (millions) 1.1 GDP ($ millions) 701.0Pop. growth (avg. ann. %, 1990–2010) 2.1 GNI per capita (Atlas $) 2,220

Countrydata

EastAsia &Pacifi c

Lowermiddleincome

2.9 2.5 1.74.4 10.3 6.5

.. .. 143.6 3.3 2.80.0

.. 10.8 18.7

.. .. ..37.4 16.8 ..6.0 14.9 9.555 24 69

41.5 9.0 31.746,380 525 4,874

50 59 4569 88 84

2,316 4,860 2,75422.0 90.8 67.3

.. 15.9 29.32.3 2.8 2.6

39.9 3.0 2.4.. 14,638 81,789..

1682.780 97 8895 103 93

0.2 4.3 1.6234.5 827.1 523.9

0.2 8,259 3,744.... 1,928 1,705.. 707 687.. .. 17

58 1,436 68084.9 259.5 217.9

..1.3 to 1.7

..–123 to 206

16 / 26–3 / –3

12/20/2001 (1st)n/a

..Yes

..

..

..n/an/a

Timor-Leste









Countrydata

Sub-SaharanAfrica

Lowincome

0.6 0.4 0.76.1 2.0 5.128 14 11

4.3 4.0 3.70.51.5 3.2 3.7

.. .. ..38.7 50.9 ..11.3 11.7 10.6103 121 108

22.3 24.6 28.330,388 26,113 16,659

12 31 3560 60 63

1,398 1,297 2,04720.0 32.5 23.021.0 18.3 14.10.3 1.2 0.71.3 3.6 3.223 11,957 4,471

..1622.661 67 6575 89 91

0.2 0.8 0.3280.6 428.6 270.2

1.4 685 21928.12.9 590 4361.7 334 2090.0 .. ..

445 689 365503.1 308.4 303.9

22 / 331.9 to 2.5

1,168–175 to 100

6 / 21–2 / –2


..

00

n/an/a

Togo









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

40.5 2.5 1.731.3 10.3 6.5

.. .. 141.0 3.3 2.8

..

.. 10.8 18.7

.. .. ..

.. 16.8 ..14.5 14.9 9.5

16 24 69.. 9.0 31.7.. 525 4,874

96 59 45100 88 84

.. 4,860 2,754

.. 90.8 67.327.0 15.9 29.32.9 2.8 2.64.5 3.0 2.410 14,638 81,789

..583.8105 97 88100 103 93

1.7 4.3 1.6413.9 827.1 523.9

0.2 8,259 3,744–0.3

.. 1,928 1,705

.. 707 687

.. .. 17567 1,436 680

139.9 259.5 217.9

23 / 281.3 to 1.7

1,966–13 to 182

8 / 14–3 / –3

11/30/2001 (1st)n/a

..n/aYes

..

..n/an/a

Tonga









Countrydata

Highincome

8.0 2.27.5 7.7

.. ..3.0 1.00.06.0 10.4

12.7 ..4.2 ..

31.2 13.427 6

4.4 .... ..

92 10094 100

2,598 5,44599.0 ..51.1 87.34.7 10.72.7 1.8

.. ..

..68

..93 97

101 100

37.4 11.91,552.9 354.4

49.8 13,285-1.510.1 1,5390.2 8130.0 460

15,158 4,944654.9 147.0

22 / 301.5 to 2.1

1,787–266 to 8

15 / 26–3 / –3

11/30/2001 (1st)n/a

..n/a

..

..

..n/an/a

Trinidad and Tobago









Countrydata

MiddleEast &

N. Africa

Uppermiddleincome

2.8 1.4 1.89.5 9.7 6.5

.. 20 222.0 2.5 2.30.1

67.6 121.9 5.64.1 .. ..2.6 3.6 ..1.3 4.0 13.616 34 20

3.3 6.8 4.1.. .. 80

85 84 6894 87 92

1,813 2,512 3,69099.5 92.9 98.075.2 74.3 50.5

4.5 3.6 4.53.4 2.9 2.7

1,061 5,854 26,166..

46..

90 88 98103 93 103

2.4 3.8 5.3329.2 604.6 659.4

25.0 1,230 12,860–1.88.2 287 3,4552.4 74 1,1440.0 7 243

881 1,399 1,848117.4 213.9 227.1

14 / 251.9 to 2.6

313–57 to –16

3 / 7–2 / –2


20

n/an/a

Tunisia









Countrydata

Europe &Central

Asia

Uppermiddleincome

1.0 2.5 1.82.4 3.0 6.529 18 222.3 0.3 2.30.1

17.7 6.5 5.613.4 .. ..

2.7 3.7 ..1.9 7.5 13.618 23 20

3.5 .. 4.10 .. 80

90 89 6899 95 92

2,808 2,475 3,690.. .. 98.0.. 85.8 50.5

1.6 9.9 4.51.3 2.8 2.7

6,606 22,652 26,166..

71..

93 95 9893 97 103

4.0 7.7 5.3322.8 708.0 659.4284.0 3,110 12,860–82.564.3 937 3,45532.8 214 1,144

5.1 76 2431,440 2,833 1,848114.9 276.8 227.1

5 / 171.9 to 2.9

593–103 to -29

3 / 6–1 / –1

2/20/2007 (4th)..

n/an/aYes

n/an/a

..

..

Turkey









Countrydata

Europe &Central

Asia

Lowermiddleincome

5.3 2.5 1.75.6 3.0 6.5

.. 18 142.1 0.3 2.80.0

1,831.6 6.5 18.7.. .. ..

24.8 3.7 ..3.0 7.5 9.556 23 69

10.5 .. 31.70 .. 4,874

98 89 4583 95 84

3,203 2,475 2,754.. .. 67.3

81.2 85.8 29.37.0 9.9 2.69.9 2.8 2.444 22,652 81,789

..

..

..

.. 95 88

.. 97 93

9.7 7.7 1.61,537.5 708.0 523.9

47.8 3,110 3,744-0.828.0 937 1,705

4.3 214 6870.1 76 17

3,933 2,833 680593.2 276.8 217.9

9 / 221.8 to 3.0

162–32 to 12

3 / 6–1 / –1

11/29/2010 (2nd)n/a

..n/a

..

..

..n/an/a

Turkmenistan









Countrydata

Highincome

53.3 2.253.3 7.7

.. ..

.. 1.0

..

.. 10.4

.. ..

.. ..42.9 13.4

.. 6

.. ..

.. ..

96 100100 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..2.3

..

..92 97

100 100

4.4 11.9.. 354.4

0.2 13,285.... 1,539.. 813.. 460.. 4,944.. 147.0

25 / 311.4 to 1.7

3,035–87 to 52

11 / 18–3 / –2

n/an/an/an/a

..

n/an/an/an/a

Turks and Caicos Islands









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

100.0 2.5 1.7100.0 10.3 6.5

.. .. 14

.. 3.3 2.8

..

.. 10.8 18.7

.. .. ..

.. 16.8 ..0.4 14.9 9.533 24 691.6 9.0 31.7

.. 525 4,874

84 59 4597 88 84

.. 4,860 2,754

.. 90.8 67.3

.. 15.9 29.36.5 2.8 2.64.8 3.0 2.4

.. 14,638 81,789

..

..

..99 97 88

112 103 93

.. 4.3 1.6

.. 827.1 523.9

.. 8,259 3,744

..

.. 1,928 1,705

.. 707 687

.. .. 17

.. 1,436 680

.. 259.5 217.9

25 / 311.4 to 1.9

3,0359 to 65124 / 27–3 / –3

10/30/1999 (1st)n/a

..Yes

..

..

..n/an/a

Tuvalu









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.1

5 14 114.1 4.0 3.70.90.8 3.2 3.7

.. .. ..37.7 50.9 ..9.7 11.7 10.699 121 108

16.4 24.6 28.336,233 26,113 16,659

48 31 3567 60 63

1,539 1,297 2,0479.0 32.5 23.0

23.0 18.3 14.11.4 1.2 0.74.8 3.6 3.2257 11,957 4,471

..1233.273 67 6599 89 91

0.1 0.8 0.3110.8 428.6 270.2

3.7 685 2198.3

.. 590 436

.. 334 209

.. .. ..

.. 689 365

.. 308.4 303.9

17 / 292.1 to 2.3

1,180–13 to 224

6 / 26–2 / –3

10/26/2002 (1st)n/a

..YesYes

50

n/an/a

Uganda









Countrydata

Europe &Central

Asia

Lowermiddleincome

1.5 2.5 1.72.1 3.0 6.514 18 14

-0.5 0.3 2.80.3

72.5 6.5 18.75.3 .. ..<2 3.7 ..3.5 7.5 9.513 23 69

0.9 .. 31.7.. .. 4,874

95 89 4598 95 84

3,004 2,475 2,754.. .. 67.3

97.8 85.8 29.311.6 9.9 2.64.7 2.8 2.4

423 22,652 81,789..

152..

95 95 8899 97 93

7.0 7.7 1.61,040.6 708.0 523.9

323.5 3,110 3,744–19.270.4 937 1,70526.1 214 687

0.7 76 172,507 2,833 680435.9 276.8 217.9

4 / 132.1 to 3.0

565-43 to 31

3 / 5–1 / –2

2/8/2010 (5th)20%n/an/a

..

n/an/a80

39,780

Ukraine








Population (millions) 7.5 GDP ($ billions) 230.3Pop. growth (avg. ann. %, 1990–2010) 7.1 GNI per capita (Atlas $) ..

Countrydata

Highincome

4.6 2.27.3 7.721 ..7.0 1.0

..2,032.0 10.4

.. ..

.. ..5.6 13.4

7 6.. .... ..

97 100100 100

3,000 5,445100.0 ..100.0 87.3

6.0 10.71.7 1.8

.. ..

..33

..99 97

100 100

25.0 11.9638.6 354.4155.1 13,285

-9.723.3 1,539

1.2 8131.1 460

8,588 4,944247.1 147.0

21 / 332.2 to 2.8

78–26 to 17

4 / 9–2 / –2

4/7/2010 (2nd)n/a

..n/a

..

580

n/an/a

United Arab Emirates









Countrydata

Highincome

7.6 2.28.6 7.726 ..

0.5 1.00.0

10.0 10.4.. .... ..

24.4 13.45 6.. .... ..

100 100100 100

7,072 5,445.. ..

100.0 87.313.0 10.7

2.1 1.8.. ....7.... 97

101 100

8.5 11.9251.5 354.4522.9 13,285

–4.165.8 1,53930.6 81310.4 460

3,283 4,944102.0 147.0

5 / 121.1 to 1.8

1,220–10 to 66

3 / 5–1 / –2

6/12/2009 (5th)20% / 30% (EU)

n/an/aYes

n/an/a

..

..

United Kingdom









Countrydata

Highincome

1.7 2.24.1 7.745 ..1.5 1.00.2

17.0 10.4.. .... ..

14.8 13.48 6

1.3 .... ..

100 10099 100

7,238 5,445.. ..

67.4 87.39.8 10.71.6 1.8

.. ..3.5

4..

96 97101 100

17.9 11.9414.8 354.4

5,461.0 13,285–990.1548.1 1,539317.2 813239.5 4607,232 4,944169.6 147.0

2 / 152.0 to 3.0

736–26 to 98

3 / 6–1 / –1

5/28/2010 (5th)17%n/an/a

..

n/an/a

..

..

United States









Countrydata


Uppermiddleincome

1.9 1.5 1.84.7 3.8 6.549 35 220.6 2.0 2.30.35.3 2.0 5.61.2 .. ..<2 8.1 ..0.3 20.8 13.611 23 20

6.0 3.8 4.1.. 206 80

100 79 68100 93 92

4,045 3,337 3,69098.3 93.4 98.0

.. 28.1 50.59.3 6.9 4.54.0 2.3 2.742 33,064 26,166

..90

..106 102 98104 102 103

2.5 2.8 5.3214.0 285.6 659.4

8.3 1,584 12,860–10.319.6 1,009 3,455

7.0 442 1,1440.1 21 243

1,224 1,245 1,848102.5 130.6 227.1

12 / 231.4 to 1.8

1,2650 to 130

2 / 6–1 / –1

11/18/2010 (3rd)n/a

..n/a

..

641

n/an/a

Uruguay









Countrydata

Europe &Central

Asia

Lowermiddleincome

0.1 2.5 1.70.0 3.0 6.5

8 18 141.2 0.3 2.80.1

364.8 6.5 18.7.. .. ..

46.3 3.7 ..2.3 7.5 9.552 23 694.4 .. 31.7

0 .. 4,874

100 89 4587 95 84

4,269 2,475 2,754.. .. 67.3

87.3 85.8 29.313.4 9.9 2.6

2.1 2.8 2.4644 22,652 81,789

..1662.892 95 8899 97 93

4.6 7.7 1.61,862.7 708.0 523.9

124.9 3,110 3,7440.4

39.6 937 1,70510.0 214 6870.6 76 17

1,758 2,833 680673.3 276.8 217.9

6 / 182.0 to 3.0

206–26 to 17

3 / 6–1 / –1

12/3/2008 (2nd)n/a

..n/a

..

110

n/an/a

Uzbekistan









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

11.7 2.5 1.710.8 10.3 6.5

.. .. 144.0 3.3 2.80.1

.. 10.8 18.7

.. .. ..

.. 16.8 ..4.3 14.9 9.514 24 69

11.7 9.0 31.76,036 525 4,874

52 59 4583 88 84

565 4,860 2,754.. 90.8 67.3

23.9 15.9 29.31.8 2.8 2.65.3 3.0 2.435 14,638 81,7892.076

3.483 97 88

100 103 93

0.4 4.3 1.698.7 827.1 523.9

0.1 8,259 3,7440.0

.. 1,928 1,705

.. 707 687

.. .. 17157 1,436 680

40.1 259.5 217.9

21 / 271.3 to 1.7

2,876–163 to 180

10 / 19–3 / –3

10/30/1999 (1st)n/a

..Yes

..

..

..n/an/a

Vanuatu









Countrydata


Uppermiddleincome

2.3 1.5 1.83.7 3.8 6.532 35 222.4 2.0 2.30.21.3 2.0 5.6

.. .. ..3.0 8.1 ..

53.7 20.8 13.618 23 203.7 3.8 4.1

263 206 80

91 79 6893 93 92

3,695 3,337 3,69099.0 93.4 98.033.6 28.1 50.5

3.1 6.9 4.5-0.4 2.3 2.7423 33,064 26,1662.8177

..95 102 98

102 102 103

6.1 2.8 5.3516.2 285.6 659.4169.5 1,584 12,860–14.361.2 1,009 3,45514.9 442 1,1442.5 21 243

2,357 1,245 1,848210.6 130.6 227.1

20 / 301.8 to 2.9

1,875–150 to 85

9 / 27–3 / –3

10/13/2005 (1st)n/a

..n/a

..

..

..n/an/a

Venezuela, RB









Countrydata

EastAsia &Pacifi c

Lowermiddleincome

17.5 2.5 1.742.8 10.3 6.5

13 .. 143.1 3.3 2.81.6

22.8 10.8 18.7.. .. ..

13.1 16.8 ..6.2 14.9 9.523 24 69

20.2 9.0 31.755 525 4,874

75 59 4594 88 84

5,075 4,860 2,75497.6 90.8 67.347.6 15.9 29.32.2 2.8 2.67.7 3.0 2.4

155 14,638 81,789..

983.6

102 97 8893 103 93

1.5 4.3 1.6573.2 827.1 523.9127.4 8,259 3,74415.183.0 1,928 1,70523.0 707 687

0.0 .. 17745 1,436 680

273.7 259.5 217.9

21 / 281.4 to 2.1

1,821–107 to 61

6 / 14–1 / –1

12/7/2010 (2nd)n/a

..n/aYes

786,646

n/an/a

Vietnam









Countrydata

Highincome

31.0 2.221.9 7.7

.. ..0.7 1.0

..

.. 10.4

.. ..

.. ..15.2 13.4

.. 6

.. ..

.. ..

.. 100

.. 100

.. 5,445

.. ..

.. 87.3

.. 10.7

.. 1.8

.. ..

..

..

..

.. 97

.. 100

.. 11.9

.. 354.4

.. 13,285

..

.. 1,539

.. 813

.. 460

.. 4,944

.. 147.0

22 / 301.3 to 1.7

2,263–116 to 44

12 / 23–3 / –3

n/an/an/an/a

..

n/an/an/an/a

Virgin Islands (U.S.)









Countrydata

MiddleEast &

N. Africa

Lowermiddleincome

14.8 1.4 1.711.2 9.7 6.5

.. 20 144.0 2.5 2.8

..51.5 121.9 18.74.6 .. ..

.. 3.6 ..

.. 4.0 9.522 34 692.2 6.8 31.7

.. .. 4,874

89 84 4591 87 84

1,565 2,512 2,754.. 92.9 67.3

100.0 74.3 29.30.8 3.6 2.61.2 2.9 2.447 5,854 81,789

..131

..82 88 88

104 93 93

0.5 3.8 1.6311.3 604.6 523.9

2.1 1,230 3,744.... 287 1,705.. 74 687.. 7 17.. 1,399 680.. 213.9 217.9

..2.0 to 2.6

..–40 to –13

4 / 8–2 / –2

n/an/an/an/a

..

n/an/an/an/a

West Bank and Gaza









Countrydata

MiddleEast &

N. Africa

Lowermiddleincome

0.6 1.4 1.71.8 9.7 6.510 20 14

5.6 2.5 2.80.1

161.4 121.9 18.73.3 .. ..

.. 3.6 ..0.5 4.0 9.577 34 69

43.1 6.8 31.71,106 .. 4,874

52 84 4562 87 84

1,003 2,512 2,75439.6 92.9 67.3

8.7 74.3 29.30.3 3.6 2.60.5 2.9 2.459 5,854 81,7892.3992.961 88 8866 93 93

1.0 3.8 1.6458.8 604.6 523.9

23.4 1,230 3,744–9.76.7 287 1,7053.3 74 6870.0 7 17324 1,399 680

143.0 213.9 217.9

19 / 292.0 to 2.6

167–24 to 51

6 / 13–2 / –2

10/29/2001 (1st)n/a

..Yes

..

00

n/an/a

Yemen, Rep.









Countrydata

Sub-SaharanAfrica

Lowermiddleincome

0.0 0.4 1.70.0 2.0 6.511 14 14

2.0 4.0 2.84.22.2 3.2 18.7

.. .. ..

.. 50.9 ..36.0 11.7 9.5111 121 69

14.9 24.6 31.713,456 26,113 4,874

49 31 4560 60 84

2,067 1,297 2,75418.8 32.5 67.322.0 18.3 29.3

0.8 1.2 2.66.4 3.6 2.4

453 11,957 81,7893.8843.187 67 8896 89 93

0.2 0.8 1.6119.4 428.6 523.9

1.9 685 3,7443.5

19.3 590 1,70525.1 334 6870.0 .. 17617 689 680

466.8 308.4 217.9

15 / 282.1 to 2.7

1,020–54 to 94

4 / 18–2 / –2

8/18/2004 (1st)n/a

..Yes

..

10

n/an/a

Zambia









Countrydata

Sub-SaharanAfrica

Lowincome

0.0 0.4 0.70.0 2.0 5.113 14 11

2.3 4.0 3.7..

34.3 3.2 3.7.. .. .... 50.9 ..

28.0 11.7 10.680 121 108

14.0 24.6 28.37,480 26,113 16,659

44 31 3582 60 63

450 1,297 2,04741.5 32.5 23.019.0 18.3 14.10.9 1.2 0.71.4 3.6 3.2

301 11,957 4,471..

1712.181 67 6597 89 91

0.7 0.8 0.3.. 428.6 270.2

9.1 685 219–62.2

9.5 590 4366.1 334 2090.0 .. ..

763 689 365.. 308.4 303.9

14 / 282.2 to 2.9

692–81 to 24

4 / 13–2 / –2

5/25/1998 (1st)n/a

..n/a

..

00

n/an/a

Zimbabwe


2010 saw a new record for global investment in renewable power and fuels1

of $211 billion. This reflects a 32 percent increase in investments compared

to 2009 and nearly seven-fold increase compared to 2004. Investment levels

were boosted particularly by wind farm development in China and small-scale

solar photovoltaic installations on rooftops in Europe.

Asset finance for utility-scale generation and biofuel projects reached $128

billion in 2010 rising from 19 percent in 2009. Over the same period, invest-

ment in small distributed capacity soared 91 percent to $60 billion. Though

renewable power capacity remains a small fraction of total world power

capacity at around 8 percent (excluding large hydropower), its share in overall

new power capacity additions is gradually increasing and has risen from

about 10 percent to 34 percent between 2004 and 2010. Investment in

renewable energy (excluding large hydropower) is also progressively catching

up with investment in fossil fuel–based generation capacity. Investment in

small-scale renewable heat (e.g., biomass heating, ground- and air- source

heating, and solar water heating) is also gaining traction. In 2010, invest-

ment in solar water heating alone was estimated at $10 billion.2

Other segments of the value chain also grew over the period 2009–10:

venture capital for young firms rose 59 percent to $2.4 billion; equity-raising

on the public markets by quoted renewable energy companies grew 23 per-

cent to $15.4 billion; and government-funded research and development

increased by 121 percent to $5.3 billion as more “green stimulus” funds

arrived in the sector. Only two areas of investment declined over this period.

Corporate research, development, and deployment dropped 12 percent to

$3.3 billion as companies retrenched in the face of economic difficulties.

Expansion capital provided by private equity funds for renewable energy

companies also decreased by 1 percent to $3.1 billion.

For the first time, developing countries overtook industrialized countries in

financial new investment (i.e., total investment minus small-scale projects

and government and corporate research and development [R&D]). Financial

new investment exceeded $72 billion in developing countries and just over

$70 billion in developed countries. This compares to a ratio of nearly four-

to-one for equivalent investment in favor of developed countries in 2004.

Importantly, developing countries are starting to host the development of

a range of new renewable energy technologies for specific, local applica-

tions from rice-husk power generation to solar telecommunications towers.

China attracted the most investment in renewable energy for the second

year in a row. In 2010, financial new investment rose 28 percent to almost

$49 billion, representing more than a third of global financial new invest-

ment. Expenditure in the United States, ranked second, jumped 58 percent

in 2010 to just over $25 billion. Developed economies remain well ahead in

1 This includes all biomass, geothermal, and wind generation project of more than

1 megawatt (MW), all hydro projects of 0.5 to 50.0 MW, all solar projects of more

than 0.3 MW, all marine energy projects, and all biofuel projects with a capacity of

1 million liters or more per year.2 Small-scale renewable heat is not included in the overall renewable energy because

it delivers energy services but does not generate power.

Renewable energy in 2010




Table: Global trends in renewable energy investment ($ billion)

Category 2004 2008 2009 2010($ billion) ($ billion) ($ billion) ($ billion)

New investment by value chain

Technology developmentVenture capital 0.4 2.9 1.5 2.4Government R&D 1.1 1.6 2.4 5.3Corporate R&D 3.8 3.7 3.7 3.3Equipment manufacturingPrivate equity expansion capital 0.3 6.6 3.1 3.1Public markets 0.4 12.8 12.5 15.4ProjectsAsset finance 18.3 114.7 107.5 127.8of which re-invested equity 0.0 –4.5 –2.4 –6.0Small distributed capacity 8.6 21.1 31.2 59.6

Total new financial investment 19 132 122 143R&D, Small distributed capacity 14 26 37 68Total

33 159 160 211

Mergers and acquisitionsPrivate equity buy-outs 0.8 5.5 2.8 0.8Public markets investor exits 0.0 1.0 2.0 1.3Coporate mergers and acquisitions 2.4 18.0 21.6 20.2Project acquisitions and refinancing 5.3 40.7 39.3 35.6

Total 9 65 66 58

Financial new investment by technologyBiofuels 1.6 18.7 6.9 5.5Biomass and w-t-e 3.7 10.1 11.5 11.0Geothermal 1.0 1.6 1.4 2.0Marine 0.0 0.1 0.2 0.1Small hydro 1.1 5.8 4.1 3.2Solar 0.5 33.3 25.3 26.1Wind 11.3 62.7 72.7 94.7

Total 19 132 122 143

Financial new investment by geographyGlobalAsia and Oceania 5.6 34.4 45.7 59.3Europe 9.0 47.6 45.0 35.2Middle East and Africa 0.3 2.4 2.4 5.0North America 3.8 32.3 19.7 30.1South America 0.5 15.7 9.4 13.1

Total 19 132 122 143

Select developing countriesBrazil 0.4 13.2 7.3 6.9China 1.5 23.9 38.3 48.9India 1.3 4.1 3.0 3.8Africa 0.3 1.1 0.7 3.6

Source: UNEP and Bloomberg New Energy Finance (2011).Notes: New investment volume adjusts for re-invested equity. Total values include estimates of undisclosed deals. R&D = research and development, w-t-e = waste-to-energy.



investment for small-scale projects and R&D, which are not included in the

financial new investment measure. Germany had the highest investment in

small-scale projects in 2010 at $34.3 billion (60 percent of the world total).

Wind remains the leading technology, with solar now a close second. Finan-

cial new investment in wind energy and investment in small distributed wind

capacity reached $95 billion in 2010 (up 30 percent from 2009). The majority

of this investment was asset finance ($90 billion). Financial new invest-

ment in solar energy and small distributed solar capacity rose 52 percent

in 2010 compared to 2009 to reach $86 billion. Small distributed capacity

represented 70 percent of this investment.

Source: UNEP and Bloomberg New Energy Finance (2011).


Sources: World Bank, 2010, Kennedy et al., 2009.

Urban areasGHG Emissions

Country City YearPopulation(thousands)

Total (MtCO2e)

Per capita

Belgium Brussels 2005 1,007 7.55 7.5

Brazil Rio de Janeiro 1998 5,633 12.11 2.1

São Paulo 2000 10,434 14.22 1.4

Canada Calgary 2003 922 .. 17.7

Toronto (Metro Area) 2005 5,556 64.22 11.6

China Beijing 2006 15,810 159 10.1

Shanghai 2006 18,150 211.98 11.7

Tianjin 2006 10,750 119.25 11.1

Czech Republic Prague 2005 1,182 11.03 9.4

Finland Helsinki 2005 989 6.94 7.0

France Paris (Île-de-France) 2005 11,532 59.64 5.2

Germany Frankfurt 2005 3,778 51.61 13.7

Hamburg 2005 4,260 41.52 9.7

Stuttgart 2005 2,668 42.57 16.0

Greece Athens 2005 3,989 41.57 10.4

Italy Bologna (Province) 2005 900 9.97 11.1

Naples (Province) 2005 3,087 12.49 4.0

Turin 2005 2,243 21.86 9.7

Veneto (Province) 2005 4,738 47.29 10.0

Japan Tokyo 2006 12,678 62.02 4.89

Jordan Amman 2008 .. .. 3.25

Netherlands Rotterdam 2005 593 17.64 29.8

Norway Oslo 2005 1,040 3.63 3.5

Portugal Porto 2005 1,667 12.14 7.3

Slovenia Ljubljana 2005 500 4.77 9.5

South Africa Cape Town 2005 3,497 40.43 7.6

Spain Barcelona 2006 1,606 6.74 4.2

Madrid 2005 5,964 40.98 6.9

Sweden Stockholm 2005 1,890 6.88 3.6

Switzerland Geneva 2005 432 3.35 7.8

Thailand Bangkok 2005 5,659 60.44 10.7

United Kingdom London (Greater Area) 2003 7,364 70.84 9.6

Glasgow 2004 1,747 15.3 8.8

United States Austin 2005 672 .. 15.57

Denver 2005 580 11.08 21.5

Los Angeles 2000 9,519 124.04 13.0

Minneapolis 2005 388 .. 18.34

New York City 2005 8,170 85.87 10.5

Portland, OR 2005 683 .. 12.41

Seattle 2005 576 .. 13.68


Renewable energy targets

This table summarizes various renewable energy targets announced by coun-

tries. Targets vary significantly with respect to sector coverage, baseline

year, methodology, and form, and thus are generally not comparable.

Renewable targets include both voluntary and mandatory targets. Renewable

energy targets in italics are expressed as percentages of primary energy;

other targets are expressed in terms of final energy. Primary energy typically

covers direct use at the supply level before transformation or distribution,

while final energy covers energy supplied to consumers.

Summary of national actions

Albania 18% by 2020Algeria 5% by 2017

20% by 2030Argentina 40% by 2015Australia 20% by 2020Austria 34% by 2020Bangladesh 5% by 2015

10% by 2020Belgium 13% by 2020Botswana 1% by 2016Brazil 16% by 2020Bulgaria 16% by 2020Burundi 2.1% by 2020Cape Verde 50% by 2020Chile 8% by 2020China 15% by 2020 3% by 2020Cyprus 13% by 2020Czech Republic 13% by 2020 16–17% by 2030Denmark 20% by 2011

30% by 2020Dominican Republic 10% by 2015

25% by 2020Egypt, Arab Rep. 14% by 2020 20% by 2020Estonia 25% by 2020 8% by 2015

35% by 2020Fiji 100% by 2013Finland 38% by 2020France 23% by 2020Gabon 80% by 2020Germany 18% by 2020

30% by 203045% by 204060% by 2050

50% by 203065% by 204080% by 2050

Ghana 10% by 2020Greece 18% by 2020Hungary 14.7% by 2020India 10% by 2012Indonesia 17% by 2025Ireland 16% by 2020Israel 50% by 2020 5% by 2016

7% by 2020Italy 17% by 2020 26% by 2020Jamaica 20% by 2030 15% by 2020Japan 10% by 2020 1.6% by 2014Jordan 7% by 2015

10% by 2020

Renewable energy target Renewable electricity target



Korea, Rep. 4.3% by 20156.1% by 202011% by 2030

Kuwait 5% by 2020Latvia 40% by 2020Lebanon 12% by 2020Libya 10% by 2020

30% by 2030Lithuania 23% by 2020

20% by 2025Luxembourg 11% by 2020Madagascar 54% by 2020 75% by 2020Malawi 7% by 2020MaldivesMali 15% by 2020Malta 10% by 2020Mauritius 35% by 2025 65% by 2028MexicoMoldova 20% by 2020Mongolia 20–25% by 2020Morocco 10% by 2012

8% by 201220% by 2020

Netherlands 14% by 2020New Zealand 90% by 2025Nicaragua 38% by 2011Niger 10% by 2020Nigeria 7% by 2025Pakistan 10% by 2012PeruPhilippines 40% by 2020Poland 15% by 2020

14% by 2020Portugal 31% by 2020 55–60% by 2020Romania 24% by 2020 35% by 2015

38% by 2020Russian Federation 2.5% by 2015

4.5% by 2020Rwanda 90% by 2012Senegal 15% by 2025Slovak Republic 14% by 2020Slovenia 25% by 2020South Africa 4% by 2013

13% by 202014% by 2050

Spain 20% by 2020 40% by 2020Sri Lanka 10% by 2017

14% by 2022Sweden 50% by 2020Switzerland 24% by 2020Syrian Arab Republic 4.3% by 2011Thailand 20% by 2022 11% by 2011

14% by 2022Tonga 100% by 2013 50% by 2012Tunisia 11% by 2016

25% by 2030Turkey 30% by 2023Uganda 61% by 2017United Kingdom 15% by 2020 10% by 2010/11

15% by 2015/16Vietnam 5% by 2020

8% by 202511% by 2050

5% by 2020

Renewable energy target Renewable electricity target

Source: REN21 Secretariat, 2011.

Non-Annex-I country GHG emissions reduction goals

This table summarizes GHG emissions reduction goals included by non-

Annex-I countries in their Nationally Appropriate Mitigation Action plans

submitted to the UNFCCC. Goals vary significantly with respect to sector

coverage, baseline year, methodology, and form, and thus are generally

not comparable.

Sources: UNFCCC, UNEP Risø Centre.



NAMA emissions goal

Antigua and Barbuda GHG emission reduction of 25% below 1990 levels by 2020

Bhutan Efforts to remain GHG neutral

Brazil GHG reduction of 36.1–38.9% below its BAU emissions in 2020

Chile GHG reduction of 20% below its BAU emissions in 2020

China Reduce CO2 emissions per unit of GDP by 40–45% by 2020 compared to 2005

Colombia 77% of total electric capacity installed will be from renewable sources and 20% of fuel consumption from biofuels by 2020

Costa Rica Long-term effort to enable carbon neutrality

India Reduce CO2 emissions (except agriculture) per unit of GDP by 20–25% by 2020 compared to 2005

Indonesia GHG emissions reduction by 26% by 2020

Israel GHG reduction of 20% below its BAU emissions in 2020

Korea, Rep. GHG emissions reduction by 30% below BAU by 2020

Maldives Long-term transformational effort to achieve carbon neutrality as a country by 2020

Marshall Islands GHG reduction of 40% below 2009 level

Mexico GHG reduction of 30% below its BAU emissions in 2020

Moldova GHG emissions reduction by 35% compared with the base year 1990, by 2020

Peru Renewable energy represents at least 33% of total energy used and zero net deforestation by 2020

Singapore GHG emissions reduction by 16% below BAU by 2020

South Africa GHG emissions reduction by 34% below BAU by 2020


Annex-I emissions reduction target is the Annex-I (A1) country’s target for

reducing economy-wide greenhouse gas emissions by 2020 to the UNFCCC

under the Copenhagen Accord. Targets are relative to 1990 emissions unless

otherwise specified. Multiple targets indicate that countries have signaled a

willingness to accept deeper targets, contingent on commitments by other

parties or other conditions. (EU) indicates that the target submitted by

the European Union and its member States applies to this country. “n/a”

indicates that the country is not an Annex-1 party to the UNFCCC. (UNFCCC

on October 21, 2011)

Access to electricity is the percentage of population with access to electric-

ity. Electrification data are collected from industry, national surveys, and

international sources. (International Energy Agency, World Energy Outlook

2010; data are for 2008/2009)

Access to improved sanitation is the percentage of population with ade-

quate access to excreta disposal facilities (private or shared, but not pub-

lic) that can effectively prevent human, animal, and insect contact with

excreta. Improved facilities range from simple but protected pit latrines to

flush toilets with a sewerage connection. To be effective, facilities must be

correctly constructed and properly maintained. (World Health Organization;

data are for 2008)

Access to improved water source is the percentage of the population

with reasonable access to an adequate amount of water from an improved

source, such as piped water into a dwelling, plot, or yard; public tap or

standpipe; tube-well or borehole; protected dug well or spring; or rainwater

collection. Unimproved sources include an unprotected dug well or spring,

cart with small tank or drum, bottled water, and tanker trucks. Reasonable

access to an adequate amount means the availability of at least 20 liters a

person a day from a source within 1 kilometer of the dwelling. (World Health

Organization; data are for 2008)

Agricultural land is arable land, land under permanent crops, and permanent

pastures. Arable land includes land defined by the Food and Agriculture

Organization of the United Nations as land under temporary crops (double-

cropped areas are counted once), temporary meadows for mowing or for

pasture, land under market or kitchen gardens, and land temporarily fallow.

Land abandoned as a result of shifting cultivation is excluded. Land under

permanent crops is land cultivated with crops that occupy the land for long

periods and need not be replanted after each harvest, such as cocoa, cof-

fee, and rubber. This category includes land under flowering shrubs, fruit

trees, nut trees, and vines but excludes land under trees grown for wood

or timber. Permanent pasture is land used for five or more years for forage,

including natural and cultivated crops. (Food and Agriculture Organization)

Agricultural land under irrigation is the area purposely provided with water,

including land irrigated by controlled flooding. (Food and Agriculture Organiza-

tion; data are for 2009)

Glossary

Glossary


Annual freshwater withdrawals are total water withdrawals, excluding evapo-

ration losses from storage basins and including water from desalination

plants in countries where they are a significant source. Withdrawals can

exceed 100 percent of internal renewable resources because river flows

from other countries are not included, because extraction from nonrenewable

aquifers or desalination plants is considerable, or because there is signifi-

cant water reuse. (Food and Agriculture Organization and World Resources

Institute; data are for various years; for details, see World Development

Indicators 2011, Primary data documentation)

Average annual precipitation is the sum of the rainfall and the assumed

water equivalent of the snowfall for the year in the country, averaged over

the years 1961–1990. Values are based on gridded climatologies from the

Climatic Research Unit (Mitchell et al., 2003).

Average daily min/max temperature are the minimum and maximum daily

temperatures in the country, averaged for the years 1961–90, based on

gridded climatologies from the Climatic Research Unit (Mitchell et al., 2003).

Carbon dioxide (CO2) emissions are emissions from the burning of fossil

fuels and the manufacture of cement and include carbon dioxide produced

during consumption of solid, liquid, and gas fuels and gas flaring. (Carbon

Dioxide Information Analysis Center; latest data are for 2008)

Carbon dioxide (CO2) emissions per capita are carbon dioxide emissions

divided by midyear population. (Carbon Dioxide Information Analysis Center,

World Bank, and United Nations; data are for 2008)

Carbon dioxide (CO2) emissions per units of GDP are carbon dioxide emis-

sions in kilograms per $1,000 of GDP in 2005 purchasing power parity (PPP)

terms. PPP GDP is gross domestic product converted to international dollars

using PPP rates. An international dollar has the same purchasing power over

GDP that a U.S. dollar has in the United States. (Carbon Dioxide Information

Analysis Center and World Bank; data are for 2008)

Certified Emission Reductions—see Issued Certified Emission Reductions

(CERs) from Clean Development Mechanism (CDM).

Cereal yield is measured in kilograms per hectare of harvested land and

includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat,

and mixed grains. Production data on cereals refer to crops harvested for

dry grain only. Cereal crops harvested for hay or harvested green for food,

feed, or silage, and those used for grazing, are excluded. The FAO allocates

production data to the calendar year in which the bulk of the harvest took

place. But most of a crop harvested near the end of a year will be used in

the following year. (Food and Agriculture Organization; data are for 2009)

Child malnutrition, underweight is the percentage of children under age

5 whose weight for age is more than two standard deviations below the

median for the international reference population ages 0–59 months. The

data are based on the World Health Organization’s child growth standards

Glossary


released in 2006. (World Health Organization; data are for the most recent

year available)

Disaster risk reduction progress score is an average of self-assessment

scores, ranging from 1 to 5, submitted by countries under Priority 1 of the

Hyogo Framework National Progress Reports. The Hyogo Framework is a

global blueprint for disaster risk reduction efforts that was adopted by 168

countries in 2005. Assessments of “Priority 1” include four indicators that

reflect the degree to which countries have prioritized disaster risk reduction

and the strengthening of relevant institutions (UNISDR, 2009–11 Progress

Reports, http://www.preventionweb.net/english/hyogo).

Droughts, floods, and extreme temperatures is the annual average per-

centage of the population that is affected by natural disasters classified

as either droughts, floods, or extreme temperature events. A drought is an

extended period of time characterized by a deficiency in a region’s water

supply that is the result of constantly below average precipitation. A drought

can lead to losses to agriculture, affect inland navigation and hydropower

plants, and cause a lack of drinking water and famine. A flood is a significant

rise of water level in a stream, lake, reservoir, or coastal region. Extreme

temperature events are either cold waves or heat waves. A cold wave can be

both a prolonged period of excessively cold weather and the sudden invasion

of very cold air over a large area. Along with frost, it can cause damage to

agriculture, infrastructure, and property. A heat wave is a prolonged period

of excessively hot and sometimes also humid weather relative to normal

climate patterns of a certain region. Population affected is the number of

people injured, left homeless, or requiring immediate assistance during a

period of emergency resulting from a natural disaster; it can also include

displaced or evacuated people. Average percentage of population affected

is calculated by dividing the sum of total affected for the period stated by

the sum of the annual population figures for the period stated. (EM-DAT:

The OFDA/CRED International Disaster Database—http://www.emdat.be,

Université Catholique de Louvain, Brussels [Belgium], World Bank)

Ease of doing business ranks economies from 1 to 183, with first place

being the best. A high ranking (a low numerical rank) means that the regula-

tory environment is conducive to business operation. The index averages

the country’s percentile rankings on 10 topics covered in the World Bank’s

Doing Business. The ranking on each topic is the simple average of the

percentile rankings on its component indicators. (World Bank; data are for

October 2011)

Emission Reduction Units—see Issued Emission Reduction Units (ERUs)

from Joint Implementation (JI).

Energy use per capita refers to use of primary energy before transforma-

tion to other end-use fuels, which is equal to indigenous production plus

imports and stock changes, minus exports and fuels supplied to ships and

aircraft engaged in international transport. (International Energy Agency;

data are for 2009)

Glossary


Energy use per units of GDP is the kilogram of oil equivalent of energy use

per $1,000 of GDP in 2005 purchasing power parity (PPP) terms. Energy

use refers to use of primary energy before transformation to other end-

use fuels, which is equal to indigenous production plus imports and stock

changes, minus exports and fuels supplied to ships and aircraft engaged

in international transport. PPP GDP is gross domestic product converted to

international dollars using PPP rates. An international dollar has the same

purchasing power over GDP that a U.S. dollar has in the United States.

(International Energy Agency, World Bank PPP data; data are for 2009)

Foreign direct investment, net inflows is investments to acquire a lasting

management interest in an enterprise operating in an economy other than

that of the investor. They are the sum of inflows of equity capital, reinvest-

ment of earnings, other long-term capital, and short-term capital as shown

in the balance of payments. Net inflows refer to new investments made

during the reporting period netted against disinvestments. (World Bank and

International Monetary Fund; data are for 2010)

GDP is gross domestic product and measures the total output of goods

and services for final use occurring within the domestic territory of a given

country, regardless of the allocation to domestic and foreign claims. GDP

at purchaser values (market prices) is the sum of gross value added by all

resident and nonresident producers in the economy plus any taxes and

minus any subsidies not included in the value of the products. It is calculated

without deductions for depreciation of fabricated assets or for depletion and

degradation of natural resources. (World Bank, Organization for Economic

Co-operation and Development, and United Nations; data are for 2010)

GHG stands for greenhouse gas, a classification of gases that absorb

infrared radiation in the atmosphere. Water vapor, carbon dioxide, meth-

ane, nitrous oxide, chlorofluorocarbons (CFCs), hydrochlorofluorocarbons

(HCFCs), ozone (O3 ), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs),

and sulfur hexafluoride (SF6) are all considered greenhouse gases.

GHG net emissions/removals by LUCF refers to changes in atmospheric

levels of all greenhouse gases attributable to forest and land-use change

activities, including but not limited to (1) emissions and removals of CO2

from decreases or increases in biomass stocks due to forest management,

logging, fuelwood collection, and so forth; (2) conversion of existing forests

and natural grasslands to other land uses; (3) removal of CO2 from the

abandonment of formerly managed lands (e.g. croplands and pastures); and

(4) emissions and removals of CO2 in soil associated with land-use change

and management. For Annex-I countries under the UNFCCC, these data are

drawn from the annual GHG inventories submitted to the UNFCCC by each

country; for non-Annex-I countries, data are drawn from the most recently

submitted National Communication where available. Because of differences

in reporting years and methodologies, these data are not generally consid-

ered comparable across countries (UNFCCC).

Glossary


GNI per capita is the gross national income, converted to U.S. dollars using

the World Bank Atlas method, divided by the midyear population. GNI is the

sum of value added by all resident producers plus any product taxes (less

subsidies) not included in the valuation of output plus net receipts of primary

income (compensation of employees and property income) from abroad.

GNI, calculated in national currency, is usually converted to U.S. dollars

at official exchange rates for comparisons across economies, although an

alternative rate is used when the official exchange rate is judged to diverge

by an exceptionally large margin from the rate actually applied in interna-

tional transactions. To smooth fluctuations in prices and exchange rates, a

special Atlas method of conversion is used by the World Bank. This applies

a conversion factor that averages the exchange rate for a given year and the

two preceding years, adjusted for differences in rates of inflation between

the country and the Euro area, Japan, the United Kingdom, and the United

States. (World Bank; data are for 2010)

Health workers include physicians, nurses, and midwives. Physicians include

generalist and specialist medical practitioners. Nurses and midwives include

professional nurses, professional midwives, auxiliary nurses, auxiliary mid-

wives, enrolled nurses, enrolled midwives, and other associated personnel,

such as dental nurses and primary care nurses. (World Health Organization,

Global Atlas of the Health Workforce; data are for 2009 or the most recent

year available)

Hosted Clean Development Mechanism (CDM) projects refers to the num-

ber of Clean Development Mechanism (CDM) projects registered within the

(host) country by the CDM Executive Board. One of the flexibility mechanisms

set forth under the Kyoto Protocol, the Clean Development Mechanism is

designed to assist developing countries in achieving sustainable develop-

ment by allowing entities from Annex I Parties to participate in low-emission

project activities and obtain Certified Emission Reductions (CERs) in return.

(UNEP Risø Centre: as of October 1, 2011)

Hosted Joint Implementation (JI) projects refers to the number of deter-

mined Joint Implementation (JI) projects within the (host) country. Joint

Implementation is one of the flexibility mechanisms set forth under the

Kyoto Protocol whereby entities from Annex I Parties may participate in

low-emission project activities in Annex I countries and obtain Emission

Reduction Units (ERUs) in return. (UNEP Risø Centre: as of October 1, 2011)

Investment in infrastructure with private participation is the value of infra-

structure projects in telecommunications, energy (electricity and natural gas

transmission and distribution), transport, and water and sanitation that have

reached financial closure and directly or indirectly serve the public, including

operation and management contracts with major capital expenditure, green-

field projects (in which a private entity or public-private joint venture builds

and operates a new facility), and divestitures. Incinerators, movable assets,

standalone solid waste projects, and small projects such as windmills are

excluded. Investment in the four sectors are summed by year. The total value

shown may not contain data for all sectors. (World Bank; data are for 2010)

Glossary


Issued Certified Emission Reductions (CERs) from CDM refers to the num-

ber of Certified Emission Reductions (CERs) issued to Clean Development

Mechanism (CDM) projects within the (host) country. One CER represents a

reduction in greenhouse gas emissions of one metric ton of carbon dioxide

equivalent. (UNEP Risø Centre: as of October 1, 2011)

Issued Emission Reduction Units (ERUs) from JI refers to the number of

Emission Reduction Units (ERUs) issued to Joint Implementation (JI) projects

within the (host) country. One ERU represents a reduction in greenhouse

gas emissions of one metric ton of carbon dioxide equivalent. (UNEP Risø

Centre: as of October 1, 2011)

Land area below 5m is the percentage of total land where the elevation is

5 meters or less. (CIESIN, Place II dataset; data are for 2000)

Latest UNFCCC national communication is the date of the country’s most

recent National Communication submission under the UNFCCC. The paren-

thetical number indicates the number of reports submitted by the country.

“n/a” indicates that the country is not a party to the UNFCCC. (UNFCCC: as

of October 21, 2011)

LUCF stands for Land Use Change and Forestry.

Malaria incidence rate is the number of new cases of malaria per 100,000

people each year. The number of cases reported is adjusted to take into

account incompleteness in reporting systems, patients seeking treatment

in the private sector, self-medicating or not seeking treatment at all, and

potential over-diagnosis through the lack of laboratory confirmation of cases.

(World Health Organization, data are for 2008)

Methane (CH 4) emissions are emissions from human activities such as

agriculture and from industrial methane production. (International Energy

Agency; data are for 2005)

NAMA submission indicates whether a non-Annex I country has submitted

Nationally Appropriate Mitigation Actions (NAMAs) to the UNFCCC. “Yes, with

Goal” indicates the country included a GHG emissions reduction goal as part

of its NAMA. See “Summary of National Actions” for details. “n/a” indicates

countries that are not non-Annex I parties to the UNFCCC. (UNFCCC, UNEP

Risø Centre: as of September 13, 2011)

NAPA submission indicates whether a country has submitted a National

Adaptation Programme of Action (NAPA) under the UNFCCC. NAPAs are part

of an effort under the UNFCCC to address the urgent adaptation needs of

Least Developed Countries. “n/a” indicates countries that are not consid-

ered to be Least Developed Countries. (UNFCCC)

National terrestrial protected areas are totally or partially protected areas of

at least 1,000 hectares that are designated by national authorities as scien-

tific reserves with limited public access, national parks, natural monuments,

nature reserves or wildlife sanctuaries, and protected landscapes. Marine

Glossary


areas, unclassified areas, littoral (intertidal) areas, and sites protected

under local or provincial law are excluded. (World Conservation Monitoring

Centre; data are for the most recent year available)

Nitrous oxide (N2O) emissions are emissions from agricultural biomass burn-

ing, industrial activities, and livestock management. (International Energy

Agency; data are for 2005)

Other GHG emissions are byproduct emissions of hydrofluorocarbons

(byproduct emissions of fluoroform from chlorodifluoromethane manufacture

and use of hydrofluorocarbons), perfluorocarbons (byproduct emissions of

tetrafluoromethane and hexafluoroethane from primary aluminum production

and use of perfluorocarbons, in particular for semiconductor manufacturing),

and sulfur hexafluoride (various sources, the largest being the use and

manufacture of gas insulated switchgear used in electricity distribution net-

works). (International Energy Agency; data are for 2005)

Paved roads are roads surfaced with crushed stone (macadam) and hydro-

carbon binder or bituminized agents, with concrete, or with cobblestones.

(International Road Federation and World Bank estimates; data are for the

most recent year available)

Population includes all residents who are present regardless of legal status

or citizenship except for refugees not permanently settled in the country of

asylum who are generally considered part of the population of their country

of origin. Values are midyear estimates. (World Bank; data are for 2010)

Population growth is the exponential change for the period indicated. (World

Bank)

Population living below $1.25 a day is the percentage of the population

living on less than $1.25 a day at 2005 international prices. (World Bank;

data are for the most recent year available)

Population below 5m is the percentage of the total population living in

areas where the elevation is 5 meters or less. (CIESIN, Place II dataset;

data are for 2000)

Population in urban agglomerations of more than 1 million is the percent-

age of a country’s population living in metropolitan areas that in 2009 had

a population of more than 1 million. (United Nations; data are for 2010)

Primary completion rate is the percentage of students completing the last

year of primary school. It is calculated by taking the total number of students

in the last grade of primary school, minus the number of repeaters in that

grade, divided by the total number of children of official graduation age.

(United Nations Educational, Scientific, and Cultural Organization [UNESCO]

Institute for Statistics; data are for 2009)

Projected annual precipitation change is the projected change in annual

precipitation in the years 2045–65, relative to the control period 1961–

Glossary


2000. The range reflects the 10th and 90th percentiles of results from nine

general circulation models (GCMs), employing the A2 storyline and scenario

family. Values are then calculated at the country level from 2-degree gridded

data. (Modified from Meehl et al., 2007)

Projected annual temperature change is the projected change in annual

temperature in the years 2045–65, relative to the control period 1961–

2000. The range reflects the 10th and 90th percentiles of results from

nine general circulation models (GCMs) at a standardized 2-degree grid,

employing the A2 storyline and scenario family. Values are aggregated at

the country level. (IPCC Fourth Assessment Report)

Projected change in annual cool days/cold nights are the projected changes

in the annual incidence of “cool days” and “cold nights” in the years 2045–

65, relative to the control period 1961–2000. Cool days and cold nights are

those that fall below the 10th percentile of maximum temperature and the

10th percentile of minimum temperatures, respectively, in the control period.

These indicators are useful to understand potentially critical thresholds

related to cold stress and frequency of frost in different sectors such as

agriculture and energy. The range reflects the 10th and 90th percentiles

of results from nine general circulation models (GCMs), employing the A2

storyline and scenario family. Values are then calculated at the country level

from 2-degree gridded data. (Climate Systems Analysis Group, University of

Cape Town, 2009, calculated from Meehl et al., 2007)

Projected change in annual hot days/warm nights are the projected

changes in the annual incidence of “hot days” and “warm nights” in the years

2045–65, relative to the control period 1961–2000. Hot days and warm

nights are those that exceed the 90th percentile of maximum temperatures

and those that exceeded the 90th percentile in minimum temperatures,

respectively, in the control period. These indicators are useful to understand

potentially critical thresholds related to heat stress in different sectors such

as agriculture and energy. The range reflects the 10th and 90th percentiles

of results from nine general circulation models (GCMs), employing the A2

storyline and scenario family. Values are then calculated at the country level

from 2-degree gridded data. (Climate Systems Analysis Group, University of

Cape Town, 2009, calculated from Meehl et al., 2007)

Public sector management & institutions average. The Country Policy and

Institutional Assessment (CPIA) assesses the quality of a country’s present

policy and institutional framework. “Quality” refers to how conducive that

framework is to fostering poverty reduction, sustainable growth, and the

effective use of development assistance. The CPIA ratings are used in the

International Development Association (IDA) allocation process and several

other corporate activities. The public sector management and institutions

cluster includes property rights and rule-based governance, quality of bud-

getary and financial management, efficiency of revenue mobilization, quality

of public administration, and trans parency, accountability, and corruption in

the public sector. (World Bank; data are for 2010)

Glossary


Ratio of girls to boys in primary and secondary school is the ratio of female

to male gross enrollment in primary and secondary school. (United Nations

Educational, Scientific, and Cultural Organization [UNESCO] Institute for

Statistics; data are for 2009/2010)

Renewable energy target indicates whether a country has announced one

or more targets for renewable energy production, either as a percentage

of electricity production, primary energy or final energy. See “Summary of

National Actions” for details. (REN21 Secretariat, 2011)

Under-five mortality rate is the probability per 1,000 that a newborn baby

will die before reaching age five, if subject to current age-specific mortality

rates. (UN Inter-agency Group for Child Mortality Estimation; data are for

2010, 2011)

UNFCCC stands for the United Nations Framework Convention on Climate

Change, the primary forum for international efforts to address climate

change.

Urban population is the share of the midyear population living in areas

defined as urban in each country.

Urban population growth is the exponential change for the period indicated.

(United Nations)


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Gas Emission Baselines for Global Cities and Metropolitan Regions.” Confer-

ence Paper, 5th Urban Research Symposium, “Cities and Climate Change—

Responding to an Urgent Agenda.” Marseille, France, June 28–29.

Meehl, G. A., C. Covey, T. Delworth, M. Latif, B. McAvaney, J. F. B. Mitchell,

R. J. Stouffer, and K. E. Taylor. 2007. “The WCRP CMIP3 Multi-Model Data-

set: A New Era in Climate Change Research.” Bulletin of the American Meteo-

rological Society 88: 1383–94.

Mitchell, T. D., T. R. Carter, P. D. Jones, M. Hulme, M. New. 2003. “A Compre-

hensive Set of High-Resolution Grids of Monthly Climate for Europe and the

Globe: the Observed Record (1901–2000) and 16 Scenarios (2001–2100).”

Journal of Climate: submitted.

REN21 Secretariat. 2011. Renewables 2011 Global Status Report. Paris:

REN21 Secretariat.

UN (United Nations) Inter-Agency Group for Child Mortality Estimation. 2011.

Levels and Trends in Child Mortality: Report 2011. New York: United Nations

Children's Fund.

UNEP (United Nations Environment Programme) and Bloomberg New Energy

Finance. 2011. Global Trends in Renewable Energy Investment 2011; Analysis

of Trends and Issues in the Financing of Renewable Energy. New York: UNEP.

World Bank. 2010. Cities and Climate Change: An Urgent Agenda. Washington,

D.C.: World Bank.

———. 2011. World Development Indicators 2011. Washington, D.C.: World

Bank.

AFGHANISTAN ALBANIA ALGERIA AMERICAN SAMOA ANDORRA ANGOLA ANTIGUA AND BARBUDAARGENTINA ARMENIA ARUBA AUSTRALIA AUSTRIA AZERBAIJAN THE BAHAMAS BAHRAINBANGLADESH BARBADOS BELARUS BELGIUM BELIZE BENIN BERMUDA BHUTAN BOLIVIABOSNIA AND HERZEGOVINA BOTSWANA BRAZIL BRUNEI DARUSSALAM BULGARIA BURKINAFASO BURUNDI CAMBODIA CAMEROON CANADA CAPE VERDE CAYMAN ISLANDS CENTRALAFRICAN REPUBLIC CHAD CHANNEL ISLANDS CHILE CHINA COLOMBIA COMOROS DEMOCRATICREPUBLIC OF CONGO REPUBLIC OF CONGO COOK ISLANDS COSTA RICA CÔTE D’IVOIRE CROATIACUBA CURACAO CYPRUS CZECH REPUBLIC DENMARK DJIBOUTI DOMINICA DOMINICANREPUBLIC ECUADOR ARAB REPUBLIC OF EGYPT EL SALVADOR EQUATORIAL GUINEA ERITREAESTONIA ETHIOPIA FAEROE ISLANDS FIJI FINLAND FRANCE FRENCH POLYNESIA GABON THEGAMBIA GEORGIA GERMANY GHANA GREECE GREENLAND GRENADA GUAM GUATEMALA GUINEAGUINEA-BISSAU GUYANA HAITI HONDURAS HONG KONG SAR, CHINA HUNGARY ICELANDINDIA INDONESIA ISLAMIC REPUBLIC OF IRAN IRAQ IRELAND ISLE OF MAN ISRAEL ITALYJAMAICA JAPAN JORDAN KAZAKHSTAN KENYA KIRIBATI DEMOCRATIC PEOPLE’S REPUBLICOF KOREA REPUBLIC OF KOREA KUWAIT KYRGYZ REPUBLIC LAO PEOPLE’S DEMOCRATICREPUBLIC LATVIA LEBANON LESOTHO LIBERIA LIBYA LIECHTENSTEIN LITHUANIA LUXEMBOURGMACAO, SAR CHINA FORMER YUGOSLAV REPUBLIC OF MACEDONIA MADAGASCAR MALAWIMALAYSIA MALDIVES MALI MALTA MARSHALL ISLANDS MAURITANIA MAURITIUS MAYOTTEMEXICO FEDERATED STATES OF MICRONESIA MOLDOVA MONACO MONGOLIA MONTENEGROMOROCCO MOZAMBIQUE MYANMAR NAMIBIA NAURU NEPAL NETHERLANDS NEW CALEDONIANEW ZEALAND NICARAGUA NIGER NIGERIA NIUE NORTHERN MARIANA ISLANDS NORWAYOMAN PAKISTAN PALAU PANAMA PAPUA NEW GUINEA PARAGUAY PERU PHILIPPINES POLANDPORTUGAL PUERTO RICO QATAR ROMANIA RUSSIAN FEDERATION RWANDA SAMOA SANMARINO SÃO TOMÉ AND PRÍNCIPE SAUDI ARABIA SENEGAL SERBIA SEYCHELLES SIERRA LEONESINGAPORE SINT MAARTEN SLOVAK REPUBLIC SLOVENIA SOLOMON ISLANDS SOMALIA SOUTHAFRICA SPAIN SRI LANKA ST. KITTS AND NEVIS ST. LUCIA ST. MARTIN ST. VINCENT ANDGRENADINES SUDAN SURINAME SWAZILAND SWEDEN SWITZERLAND SYRIAN ARAB REPUBLICTAJIKISTAN TANZANIA THAILAND TIMOR-LESTE TOGO TONGA TRINIDAD AND TOBAGO TUNISIATURKEY TURKMENISTAN UGANDA UKRAINE UNITED ARAB EMIRATES UNITED KINGDOM UNITEDSTATES URUGUAY UZBEKISTAN VANUATU REPÚBLICA BOLIVARIANA DE VENEZUELA VIETNAMU.S. VIRGIN ISLANDS WEST BANK AND GAZA REPUBLIC OF YEMEN ZAMBIA ZIMBABWE

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