from world development indicators public disclosure

1818 H Street N.W.

Washington, D.C. 20433 USA

Telephone: 202 473 1000

Fax: 202 477 6391

Web site: www.worldbank.org

Email: [email protected]

AFGHANISTAN ALBANIA ALGERIA AMERICAN SAMOA ANDORRA ANGOLA ANTIGUA AND BARBUDA ARGENTINA ARMENIA ARUBA AUSTRALIA AUSTRIA AZERBAIJAN THE BAHAMAS BAHRAIN BANGLADESH BARBADOS BELARUS BELGIUM BELIZE BENIN BERMUDA BHUTAN BOLIVIA BOSNIA AND HERZEGOVINA BOTSWANA BRAZIL BRUNEI DARUSSALAM BULGARIA BURKINA FASO BURUNDI CAMBODIA CAMEROON CANADA CAPE VERDE CAYMAN ISLANDS CENTRAL AFRICAN REPUBLIC CHAD CHANNEL ISLANDS CHILE CHINA COLOMBIA COMOROS DEMOCRATIC REPUBLIC OF CONGO REPUBLIC OF CONGO COSTA RICA CÔTE D’IVOIRE CROATIA CUBA CYPRUS CZECH REPUBLIC DENMARK DJIBOUTI DOMINICA DOMINICAN REPUBLIC ECUADOR ARAB REPUBLIC OF EGYPT EL SALVADOR EQUATORIAL GUINEA ERITREA ESTONIA ETHIOPIA FAEROE ISLANDS FIJI FINLAND FRANCE FRENCH POLYNESIA GABON THE GAMBIA GEORGIA GERMANY GHANA GREECE GREENLAND GRENADA GUAM GUATEMALA GUINEA GUINEA-BISSAU GUYANA HAITI HONDURAS HONG KONG, CHINA HUNGARY ICELAND INDIA INDONESIA ISLAMIC REPUBLIC OF IRAN IRAQ IRELAND ISLE OF MAN ISRAEL ITALY JAMAICA JAPAN JORDAN KAZAKHSTAN KENYA KIRIBATI DEMOCRATIC REPUBLIC OF KOREA REPUBLIC OF KOREA KUWAIT KYRGYZ REPUBLIC LAO PEOPLE’S DEMOCRATIC REPUBLIC LATVIA LEBANON LESOTHO LIBERIA LIBYA LIECHTENSTEIN LITHUANIA LUXEMBOURG MACAO, CHINA FORMER YUGOSLAV REPUBLIC OF MACEDONIA MADAGASCAR MALAWI MALAYSIA MALDIVES MALI MALTA MARSHALL ISLANDS MAURITANIA MAURITIUS MAYOTTE MEXICO FEDERATED STATES OF MICRONESIA MOLDOVA MONACO MONGOLIA MONTENEGRO MOROCCO MOZAMBIQUE MYANMAR NAMIBIA NEPAL NETHERLANDS NETHERLANDS ANTILLES NEW CALEDONIA NEW ZEALAND NICARAGUA NIGER NIGERIA NORTHERN MARIANA ISLANDS NORWAY OMAN PAKISTAN PALAU PANAMA PAPUA NEW GUINEA PARAGUAY PERU PHILIPPINES POLAND PORTUGAL PUERTO RICO QATAR ROMANIA RUSSIAN FEDERATION RWANDA SAMOA SAN MARINO SÃO TOMÉ AND PRINCIPE SAUDI ARABIA SENEGAL SERBIA SEYCHELLES SIERRA LEONE SINGAPORE SLOVAK REPUBLIC SLOVENIA SOLOMON ISLANDS SOMALIA SOUTH AFRICA SPAIN SRI LANKA ST. KITTS AND NEVIS ST. LUCIA ST. VINCENT & GRENADINES SUDAN SURINAME SWAZILAND SWEDEN SWITZERLAND SYRIAN ARAB REPUBLIC TAJIKISTAN TANZANIA THAILAND TIMOR-LESTE TOGO TONGA TRINIDAD AND TOBAGO TUNISIA TURKEY TURKMENISTAN UGANDA UKRAINE UNITED ARAB EMIRATES UNITED KINGDOM UNITED STATES URUGUAY UZBEKISTAN VANUATU REPÚBLICA BOLIVIARANA DE VENEZUELA VIETNAM U.S. VIRGIN ISLANDS WEST BANK AND GAZA REPUBLIC OF YEMEN ZAMBIA ZIMBABWE

From World Development Indicators

Agriculture

Forests and biodiversity

Energy

Emissions and pollution

Water and sanitation

Environment and health

National accounting aggregates

The Little Green Data Book


ISBN 978-0-8213-7399-6

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Typewritten Text

54163

2008 THE LITTLE GREENDATA BOOK

Copyright ©2008 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 May 2008

ISBN: 978-0-8213-7399-6E-ISBN: 978-0-8213-7427-6

DOI: 10.1596/978-0-8213-7399-6

The Little Green Data Book 2008 is a product of theDevelopment Data Group of the Development Economics Vice Presidency

and the Environment Department of the World Bank.

Editing, design, and layout by Communications Development Incorporated, Washington, DC. Cover design by Peter Grundy Art & Design, London, U.K.

iiiThe Little Green Data Book 2008

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

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

Focus: climate change. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi

Data notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . x

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 group tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

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

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

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

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

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

Euro area . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

High income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Country tables (in alphabetical order) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

Glossary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227

References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233

Contents

iv 2008 The Little Green Data Book

The Little Green Data Book 2008 is based on World Development Indicators

2008 and its accompanying CD-ROM. Defining, gathering, and disseminating international statistics is a collective effort of many people and organizations. The indicators presented in World Development Indicators are the fruit 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 international statistical agencies that develop the nomenclature, classifications, and standards fundamental to the international statistical system. Nongovernmental organizations have also made important contributions. We are indebted to the World Development Indicators partners, as detailed in World Development Indicators 2008. The financial assistance of the Government of Sweden is also gratefully acknowledged.

The Little Green Data Book 2008 is the result of close collaboration between the staff of the Development Data Group of the Development Economics Vice Presidency and the Environment Department. Mehdi Akhlaghi, Richard Fix, Kirk Hamilton, Saeed Ordoubadi, Beatriz Prieto-Oramas, Giovanni Ruta, Alexandra Sears, and Jana Stoever contributed to its preparation. Meta de Coquereaumont, Christopher Trott, and Elaine Wilson of Communications Development provided design, editing, and layout. Staff from External Affairs oversaw publication and distribution of the book.

Acknowledgments

vThe Little Green Data Book 2008

ForewordWelcome to The Little Green Data Book 2008. As in the 2007 edition, this year’s edition includes a Focus section, four introductory pages that focus on a specific issue related to development and the environment. This year the focus is on the damage from climate change and carbon dioxide emissions.

Climate change continues to dominate public discourse about the environment. Following on the strong interest stirred by the Stern Review on the Economics

of Climate Change in 2006, the Fourth Assessment Report of the Inter-Governmental Panel on Climate Change has codified the firm scientific consensus on the extent of human-induced climate change. Another important milestone was the December 2007 United Nations Framework Convention on Climate Change conference in Bali, which culminated in the adoption of the Bali Roadmap, establishing four pillars—mitigation, adaptation, technology, and finance—for negotiating a post-2012 climate pact.

As this Focus shows, global warming can have negative effects on agriculture, health, infrastructure, and other economic activities —effects that are likely to hit developing countries the hardest. While high-income countries emit more carbon dioxide than developing countries, emissions from developing countries are growing at a faster pace. And emissions per capita in high-income countries are still five times higher than in developing countries.

The Little Green Data Book 2008 is a collaboration between the Development Data Group of the Development Economics Vice Presidency and the Environment Department of the World Bank. We welcome your suggestions for how to improve future editions and make them more useful.

Shaida Badiee James Warren Evans

Director Director

Development Data Group Environment Department

vi 2008 The Little Green Data Book

Focus: climate changeClimate change effects on agricultural productivity

Global warming is predicted to reduce worldwide agricultural productivity more than 15 percent by the 2080s. The effect will be more severe for developing countries than for developed countries, partly for geographic reasons. The predicted effect becomes positive for developed countries when carbon fertilization effects are taken into account.

Change in agricultural productivity (%)

Source: Cline 2007.

Climate change effects on health

The largest health impacts of climate change are on malnutrition and are linked to declining agricultural yields. While the effects are felt in South East Asia through malnutrition and diarrhea, the impact on Africa is expected to be dominated by increased incidence of malaria.

Estimated disability-adjusted life years attributable to climate change, 2000 (millions)

Note: Regions are World Health Organization Regions. Climate change for 2000 is estimated by interpolating between baseline (1961–90) climate variables and projected climate variables, assuming climate stabilization at 750 parts per million of carbon dioxide in 2000.

Source: McMichael and others 2004.

–20

–10

0

10

Developed countriesDeveloping countriesWorld

Without carbon fertilization With carbon fertilization

0

1

2

3

FloodsMalariaDiarrheaMalnutrition

OtherWestern Pacific, low child, low adult mortalityAfrica, high child, high adult mortalityEastern Mediterranean, high child, high adult mortalityAfrica, high child, very high adult mortalitySoutheast Asia, high child, high adult mortality

viiThe Little Green Data Book 2008

Climate change effects due to rise in sea level

The Intergovernmental Panel on Climate Change predicts a 1 meter rise in sea level over the next hundred years linked to climate change (barring catastrophic events, such as the melting of the West Antarctic Ice Sheet). The effects are most severe in the Middle East and North Africa and East Asia and Pacific for virtually all dimensions measured.

Losses due to 1 meter rise in sea level, by category (%)

Note: The figure assumes no adaptation.

Source: Dasgupta and others 2007.

Climate change effects due to extreme weather events

Weather variability is likely to increase. The five countries most vulnerable to extreme weather events in each region are shown. Ethiopia and Bangladesh stand out as the countries most vulnerable to extreme weather events.

Weather damage index

Note: The index takes into account droughts, heat waves, floods, wildfires, and wind storms between 1960 and 2002. People killed are given a weight of 1,000, people rendered homeless a weight of 10, and people affected a weight of 1. The sum is divided by population in 1980 (the midpoint of the period).

Source: Buys and others 2007.

0

1

2

3

4

Sub-SaharanAfrica

SouthAsia

Middle East& NorthAfrica

LatinAmerica &Caribbean

East Asia &Pacific

World

Area

Popu

latio

nGD

PUr

ban

exte

ntAg

ricul

tura

l ext

ent

Wet

land

s

0

500

1,000

1,500

2,000

Botswa

na

Djibou

ti

Suda

n

Mozam

biqu

e

Ethiop

ia

Maldive

s

Pakis

tan

Sri L

anka

India

Bang

lade

shSy

ria

Yemen

, Rep

.

Tunisia

JordanIra

n

Nica

ragu

aHa

iti

Belize

Antig

ua and

Barbu

da

Hond

uras

Philip

pine

s

Solomon

Island

s

Lao PD

R

Samoa

Tong

a

East Asia & Pacific

Latin America& Caribbean

Middle East &North Africa

SouthAsia

Sub-SaharanAfrica

viii 2008 The Little Green Data Book

Focus: climate changeProjected trends in energy emissions

While high-income economies today produce nearly half of world carbon dioxide emissions from energy, developing economies are projected to increase their share at a faster rate.

Energy-related carbon dioxide emissions, by income group (billions of tons)

Source: IEA 2007.

World distribution of per capita emissions

Per capita emissions of greenhouse gases (including land use change) differ widely across countries and regions. High-income economies have the highest levels of emissions, but when land use change is taken into account Indonesia, the Russian Federation, and Brazil also have significant emissions per capita.

Per capita emissions, by country and region, 2000 (tons)

Source: WRI 2008.

0

10

20

30

20302015

Developing economies

Organisation for Economic Co-operation and Development economies

Transition economies

2005

0

10

20

30

6 billion4 billion2 billion

Unite

d St

ates

Othe

r hig

h-in

com

e

Indo

nesi

aRu

ssia

n Fe

dera

tion

Braz

ilOt

her L

atin

Am

eric

a&

Car

ibbe

anOt

her E

urop

e&

Cen

tral A

sia

Othe

r Eas

t As

ia &

Pac

ific

Sub-

Saha

ran

Afric

a

Mid

dle

East

&

Nor

th A

frica

Othe

rSo

uth

Asia

Chin

a

Indi

a

Population

ixThe Little Green Data Book 2008

Emissions by source, high-income and transition economies

Nearly all greenhouse gas emissions from high-income and transition economies (those listed in Annex I of the Kyoto Protocol) are linked to energy use (86.6 percent), including power generation, transport, and building heating and cooling.

Share of emissions, 2000 (Annex I)

Source: WRI 2008.

Emissions by source, low-income economies

In developing economies greenhouse gas emissions stem mostly from land use change, forestry, and agriculture (51.2 percent). Energy-related emissions come next (42.5 percent). Better management of land and forests in developing economies can offer both mitigation and development benefits.

Share of emissions, 2000 (non–Annex I)

Source: WRI 2008.

Industrial processes 3.7%

Agriculture 8.7%

Land use changeand forestry –1.6% Waste 2.8%

Energy86.6%

Waste 3.1%

Industrial processes 3.2%

Energy42.5%

Land usechange and

forestry35.5%

Agriculture15.7%

Note: Annex I countries that have ratified the Kyoto Protocol are committed to binding emissions targets to reduce greenhouse gases. Non–Annex I countries are developing countries, which have no specific greenhouse gas emissions obligations.

x 2008 The Little Green Data Book

The data in this book are for the most recent year available; for details, see

the Glossary. Regional aggregates include data for low- and middle-income

economies only. Aggregates for regions and income groups are shown only

if data are available for 66 percent of the economies in that group.

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

$ 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. 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 selection of indicators in these pages includes some that are being used

to monitor progress toward the Millennium Development Goals. For more

information about the eight goals—halving poverty and increasing well-being

by 2015—please visit our Web site www.developmentgoals.org or see the

other books in the World Development Indicators 2008 series.

Data notes

1The Little Green Data Book 2008

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, Fiji, Indonesia, Kiribati, Democratic

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

Islands, Federated States of Micronesia, Mongolia, Myanmar, Northern

Mariana Islands, Palau, Papua New Guinea, Philippines, Samoa, Solomon

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

Europe and Central Asia

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

Croatia, Georgia, Hungary, Kazakhstan, Kyrgyz Republic, Latvia, Lithuania,

Former Yugoslav Republic of Macedonia, Moldova, Montenegro, Poland,

Romania, Russian Federation, Serbia, Slovak Republic, Tajikistan, Turkey,

Turkmenistan, Ukraine, Uzbekistan.

Latin America and the Caribbean

Argentina, Belize, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba,

Dominica, Dominican Republic, Ecuador, El Salvador, Grenada, Guatemala,

Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay,

Peru, St. Kitts and Nevis, St. Lucia, St. Vincent and the Grenadines,

Suriname, Uruguay, Bolivarian Republic of Venezuela.

Middle East and North Africa

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

Jordan, Lebanon, Libya, Morocco, Oman, 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 the

Congo, Republic of Congo, Côte d’Ivoire, Equatorial Guinea, 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

Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa,

Sudan, Swaziland, Tanzania, Togo, Uganda, Zambia, Zimbabwe.

Regional tables

GNI per capita, World Bank Atlas method ($)Urban population (% of total)Urban population growth (average annual %, 1990–2006)Population growth (average annual %, 1990–2006) AgricultureAgricultural land (% of land area)Irrigated land (% of cropland)Fertilizer consumption (100 grams/ha of arable land)Population density, rural (people/sq. km of arable land) Forests and biodiversityForest area (% of land area)Deforestation (average annual %, 1990–2005)Nationally protected area (% of land area)Animal species, total knownAnimal species, threatenedHigher plant species, total knownHigher plant species, threatenedGEF benefits index for biodiversity (0–100, median is 1.8) EnergyGDP per unit of energy use (2005 PPP $/kg oil equivalent)Energy use per capita (kg oil equivalent)Energy from biomass products and waste (% of total)Electric power consumption per capita (kWh)Electricity generated using fossil fuel (% of total)Electricity generated by hydropower (% of total) Emissions and pollutionCO2 emissions per unit of GDP (kg/2005 PPP $)CO2 emissions per capita (metric tons)CO2 emissions growth (%, 1990–2004)Particulate matter (urban-pop.-weighted avg., µg/cu. m)Passenger cars (per 1,000 people) Water and sanitationInternal freshwater resources per capita (cu. m)Freshwater withdrawal

Total (% of internal resources)Agriculture (% of total freshwater withdrawal)

Access to improved water source (% of total population)Rural (% of rural population)Urban (% of urban population)

Access to improved sanitation (% of total population)Rural (% of rural population)Urban (% of urban population)

Environment and healthAcute resp. infection prevalence (% of children under 5)Diarrhea prevalence (% of children under 5)Under-five mortality rate (per 1,000 live births) National accounting aggregatesGross savings (% of GNI)Consumption of fixed capital (% of GNI)Education expenditure (% of GNI)Energy depletion (% of GNI)Mineral depletion (% of GNI)Net forest depletion (% of GNI)CO2 damage (% of GNI)Particulate emission damage (% of GNI)Adjusted net savings (% of GNI)

2 2008 The Little Green Data Book

Population (millions) 6,538 Land area (1,000 sq. km) 129,645 GDP ($ billions) 48,461.9

7,44849.12.21.4

3818.1

1,166498

30.50.2

11.6

5.01,796

9.72,67866.416.0

0.514.3127.7

53118

6,778

9.170837294573879

73

21.812.4

4.44.10.50.00.40.48.3

World

GNI per capita, World Bank Atlas method ($)Urban population (% of total)Urban population growth (average annual %, 1990–2006)Population growth (average annual %, 1990–2006) AgricultureAgricultural land (% of land area)Irrigated land (% of cropland)Fertilizer consumption (100 grams/ha of arable land)Population density, rural (people/sq. km of arable land) Forests and biodiversityForest area (% of land area)Deforestation (average annual %, 1990–2005)Nationally protected area (% of land area)Animal species, total knownAnimal species, threatenedHigher plant species, total knownHigher plant species, threatenedGEF benefits index for biodiversity (0–100, median is 1.8) EnergyGDP per unit of energy use (2005 PPP $/kg oil equivalent)Energy use per capita (kg oil equivalent)Energy from biomass products and waste (% of total)Electric power consumption per capita (kWh)Electricity generated using fossil fuel (% of total)Electricity generated by hydropower (% of total) Emissions and pollutionCO2 emissions per unit of GDP (kg/2005 PPP $ GDP)CO2 emissions per capita (metric tons)CO2 emissions growth (%, 1990–2004)Particulate matter (urban-pop.-weighted avg., µg/cu. m)Passenger cars (per 1,000 people) Water and sanitationInternal freshwater resources per capita (cu. m)Freshwater withdrawal







1,85642.43.51.1

51....

547

28.40.1

12.1

3.31,18215.5

1,49281.915.6

0.903.2797.7

7314

5,022

11.174797092513672

29

47.210.3

2.17.10.90.01.21.3

28.5

East Asia & Pacific







Population (millions) 461 Land area (1,000 sq. km) 23,248 GDP ($ billions) 2,499.4

4,81563.8

0.20.1

2810.9400129

38.3–0.07.0

3.32,826

2.23,633

66.117.5

0.817.06

–30.229

152

11,473

7.559928099857093

26

22.610.3

4.118.4

1.10.01.10.5

–4.9

Europe & Central Asia








4,78577.72.11.5

3612.5

1,003241

45.40.5

19.7

7.01,19814.8

1,71537.057.6

0.312.5529.6

37115

24,471

2.071917396774986

26

22.412.14.49.13.00.00.40.41.8

Latin America & Caribbean







Population (millions) 311 Land area (1,000 sq. km) 8,953 GDP ($ billions) 734.4

2,50757.52.62.0

2233.8

1,050672

2.4–0.43.4

4.71,270

1.11,358

92.57.4

0.673.86

101.17734

757

105.089898196765892

42

..10.9

4.640.0

0.30.11.10.6

..

Middle East & North Africa








76828.8

2.71.8

5539.2

1,391619

16.8–0.16.0

4.645331.543279.916.7

0.541.0597.0

818

1,230

51.890848194372763

83

32.18.93.54.50.90.51.10.8

18.8

South Asia








82935.8

4.12.6

443.5

..351

26.50.7

11.3

2.7681

56.354276.120.1

0.570.9246.3

60..

5,093

3.187564280372853

157

19.410.73.8

18.72.30.40.60.4

–10.0

Sub-Saharan Africa


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

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

economy in The Little Green Data Book 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.

Low-income economies are those with a GNI per capita of $905 or less

in 2006.

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

$905 but less than $11,116. Lower-middle-income and upper-middle-income

economies are separated at a GNI per capita of $3,595.

High-income economies are those with a GNI per capita of $11,116 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, Finland, France, Germany, Greece, Ireland, Italy,

Luxembourg, Malta, Netherlands, Portugal, Slovenia, and Spain.

Income group tables








64930.4

3.12.0

4524.0

..544

23.90.69.9

3.848641.739172.424.8

0.530.9055.7

748

3,077

18.989756988382860

112

30.59.03.49.41.30.61.00.7

11.9

Low income








3,05354.5

2.41.1

3518.2

1,331471

33.80.2

11.7

4.01,486

10.31,928

71.521.5

0.703.9529.9

5650

8,754

6.371847295624181

33

30.510.93.5

12.81.60.00.90.87.0

Middle income








2,03847.33.01.1

4226.3

2,057531

26.50.1

12.8

3.61,21612.8

1,50278.616.8

0.823.3771.1

6921

5,769

7.375817193553976

36

41.410.42.5

11.11.10.01.21.1

18.9

Lower middle income








5,91375.0

1.40.9

309.0

672112

38.80.2

10.9

4.62,248

6.53,13161.927.8

0.575.60–7.733

140

17,199

4.054937898816089

26

22.311.44.4

14.42.00.00.70.4

–2.2

Upper middle income








1,99743.9

2.61.5

3820.4

1,159511

30.90.3

11.2

4.01,07116.2

1,29071.622.0

0.672.6233.2

6139

6,268

8.878807093513474

79

30.510.73.5

12.31.50.10.90.87.6

Low and middle income








34,30773.5

0.60.4

4716.8

1,904180

37.2–0.711.5

7.53,961

4.36,926

52.58.4

0.288.22

3.924

536

2,951

22.338

100100100100

..

..

4

21.813.8

4.80.40.00.00.20.2

12.0

Euro area








36,60877.61.10.7

3611.0

1,188325

29.5–0.113.0

6.05,498

3.29,76062.511.5

0.4113.23

22.427

467

9,579

10.2429998

100100

..100

7

19.913.0

4.71.50.20.00.30.39.3

High income


China

Unless otherwise noted, data for China do not include data for Hong Kong,

China; Macao, China; and Taiwan, China.

Serbia

Data on population and gross national income per capita for Serbia exclude

Kosovo and Metohija.

Country tables







Country data

South Asia

group

Low-income group

Population (millions) .. Land area (1,000 sq. km) 652 GDP ($ billions) 8.4

.. 768 649

.. 28.8 30.4

.. 2.7 3.1

.. 1.8 2.0

58 55 4533.8 39.2 24.0

.. 1,391 ..

.. 619 544

1.3 16.8 23.92.7 –0.1 0.60.3 6.0 9.957833

4,0002

3.6

.. 4.6 3.8

.. 453 486

.. 31.5 41.7

.. 432 391

.. 79.9 72.4

.. 16.7 24.8

0.04 0.54 0.53.. 1.05 0.90

–73.5 97.0 55.744 81 74

.. 8 8

.. 1,230 3,077

42.3 51.8 18.998 90 89

.. 84 75

.. 81 69

.. 94 88

.. 37 38

.. 27 28

.. 63 60

19.020.0257 83 112

.. 32.1 30.57.7 8.9 9.0

.. 3.5 3.4

.. 4.5 9.4

.. 0.9 1.30.9 0.5 0.60.1 1.1 1.00.9 0.8 0.7

.. 18.8 11.9

Afghanistan







Country data

Europe & Central

Asia group

Lower middle-income group

Population (millions) 3.2 Land area (1,000 sq. km) 27 GDP ($ billions) 9.1

2,930 4,815 2,03846.1 63.8 47.3

1.3 0.2 3.0–0.2 0.1 1.1

41 28 4250.5 10.9 26.3995 400 2,057298 129 531

29.0 38.3 26.5–0.0 –0.0 0.12.7 7.0 12.8

37645

3,0310

0.2

7.2 3.3 3.6762 2,826 1,2169.6 2.2 12.8

1,167 3,633 1,5021.3 66.1 78.6

98.7 17.5 16.8

0.2 0.8 0.81.2 7.1 3.4

–49.5 –30.2 71.150 29 6961 152 21

8,530 11,473 5,769

6.4 7.5 7.362 59 7596 92 8194 80 7199 99 9391 85 5584 70 3999 93 76

1.47.317 26 36

16.7 22.6 41.410.5 10.3 10.42.8 4.1 2.52.0 18.4 11.10.0 1.1 1.10.0 0.0 0.00.2 1.1 1.20.2 0.5 1.16.5 –4.9 18.9

Albania







Country data

Middle East &

N. Africa group



3,030 2,507 2,03863.9 57.5 47.3

3.0 2.6 3.01.7 2.0 1.1

17 22 426.9 33.8 26.3144 1,050 2,057162 672 531

1.0 2.4 26.5–1.6 –0.4 0.15.0 3.4 12.8472

713,164

33.0

5.7 4.7 3.61,058 1,270 1,216

0.2 1.1 12.8899 1,358 1,50298.4 92.5 78.6

1.6 7.4 16.8

1.0 0.7 0.86.0 3.9 3.4

151.8 101.1 71.171 77 6958 34 21

341 757 5,769

54.2 105.0 7.365 89 7585 89 8180 81 7188 96 9392 76 5582 58 3999 92 76

9.019.8

38 42 36

.. .. 41.411.8 10.9 10.44.5 4.6 2.5

58.1 40.0 11.10.1 0.3 1.10.1 0.1 0.01.3 1.1 1.20.3 0.6 1.1

.. .. 18.9

Algeria







Country data

East Asia & Pacific

group

Upper middle-income group

Population (thousands) 60 Land area (sq. km) 200 GDP ($ billions) ..

.. 1,856 5,91391.6 42.4 75.0

.. 3.5 1.4

.. 1.1 0.9

25 51 30.. .. 9.0.. .. 672

254 547 112

90.0 28.4 38.80.0 0.1 0.22.5 12.1 10.94626

4711

0.4

.. 3.3 4.6

.. 1,182 2,248

.. 15.5 6.5

.. 1,492 3,131

.. 81.9 61.9

.. 15.6 27.8

.. 0.9 0.65.1 3.3 5.6

.. 97.7 –7.7

.. 73 33

.. 14 140

.. 5,022 17,199

.. 11.1 4.0

.. 74 54

.. 79 93

.. 70 78

.. 92 98

.. 51 81

.. 36 60

.. 72 89

..

..

.. 29 26

.. 47.2 22.3

.. 10.3 11.4

.. 2.1 4.4

.. 7.1 14.4

.. 0.9 2.0

.. 0.0 0.0

.. 1.2 0.7

.. 1.3 0.4

.. 28.5 –2.2

American Samoa







Country data

High-income group


.. 36,60890.3 77.6

.. 1.1

.. 0.7

55 36.. 11.0.. 1,188

622 325

34.0 29.50.0 –0.17.0 13.0

..

..

..

..0.0

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.4

.. 13.2

.. 22.428 27

.. 467

.. 9,579

.. 10.2

.. 42100 99100 98100 100100 100100 ..100 100

..

..3 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Andorra







Country data

Sub-Saharan Africa group



1,970 829 2,03854.0 35.8 47.3

5.2 4.1 3.02.8 2.6 1.1

46 44 422.2 3.5 26.323 .. 2,057

228 351 531

47.4 26.5 26.50.2 0.7 0.1

10.1 11.3 12.81,226

625,185

269.6

6.1 2.7 3.6615 681 1,216

63.8 56.3 12.8141 542 1,502

34.2 76.1 78.665.8 20.1 16.8

0.2 0.6 0.80.5 0.9 3.4

69.9 46.3 71.180 60 69

8 .. 21

9,195 5,093 5,769

0.2 3.1 7.360 87 7553 56 8140 42 7175 80 9331 37 5516 28 3956 53 76

8.028.4260 157 36

42.2 19.4 41.412.2 10.7 10.4

3.0 3.8 2.568.8 18.7 11.1

0.0 2.3 1.10.0 0.4 0.00.2 0.6 1.21.6 0.4 1.1

–37.6 –10.0 18.9

Angola







Country data

High-income group

Population (thousands) 84 Land area (sq. km) 440 GDP ($ millions) 998

11,050 36,60839.6 77.6

2.6 1.11.9 0.7

32 36.. 11.0.. 1,188

632 325

20.5 29.50.0 –0.10.0 13.0

18622

1,1584

0.5

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

0.4 0.45.1 13.2

37.8 22.412 27

.. 467

1,204 9,579

.. 10.2

.. 4291 9989 9895 10095 10094 ..98 100

..

..11 7

.. 19.914.0 13.03.9 4.70.0 1.50.0 0.2

.. 0.00.4 0.3

.. 0.3

.. 9.3

Antigua and Barbuda







Country data


group



5,150 4,785 5,91390.3 77.7 75.0

1.4 2.1 1.41.1 1.5 0.9

47 36 304.7 12.5 9.0

490 1,003 67213 241 112

12.1 45.4 38.80.4 0.5 0.26.4 19.7 10.9

1,413152

9,37242

18.5

6.6 7.0 4.61,644 1,198 2,248

3.5 14.8 6.52,418 1,715 3,13159.8 37.0 61.932.4 57.6 27.8

0.4 0.3 0.63.7 2.5 5.6

29.1 29.6 –7.776 37 33

.. 115 140

7,123 24,471 17,199

10.6 2.0 4.074 71 5496 91 9380 73 7898 96 9891 77 8183 49 6092 86 89

..

..16 26 26

27.1 22.4 22.312.0 12.1 11.4

4.0 4.4 4.412.8 9.1 14.4

1.0 3.0 2.00.0 0.0 0.00.5 0.4 0.71.6 0.4 0.43.2 1.8 –2.2

Argentina







Country data

Europe & Central

Asiagroup



1,920 4,815 2,03864.0 63.8 47.3–1.4 0.2 3.0–1.0 0.1 1.1

49 28 4251.5 10.9 26.3209 400 2,057219 129 531

10.0 38.3 26.51.3 –0.0 0.1

10.6 7.0 12.8380

353,553

10.3

4.9 3.3 3.6848 2,826 1,2160.0 2.2 12.8

1,503 3,633 1,50228.9 66.1 78.628.1 17.5 16.8

0.3 0.8 0.81.2 7.1 3.4

–13.1 –30.2 71.168 29 69

.. 152 21

3,016 11,473 5,769

32.4 7.5 7.366 59 7592 92 8180 80 7199 99 9383 85 5561 70 3996 93 76

8.07.824 26 26

29.3 22.6 41.410.2 10.3 10.4

3.0 4.1 2.50.0 18.4 11.12.2 1.1 1.10.0 0.0 0.00.6 1.1 1.21.8 0.5 1.1

17.6 –4.9 18.9

Armenia







Country data

High-income group


.. 36,60846.7 77.6

.. 1.1

.. 0.7

11 36.. 11.0.. 1,188

2,678 325

.. 29.5

.. –0.11.7 13.09223

460..

0.4

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.421.8 13.217.1 22.4

.. 27

.. 467

.. 9,579

.. 10.2

.. 42100 99100 98100 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Aruba







Country data

High-income group


35,860 36,60888.4 77.6

1.4 1.11.2 0.7

58 364.8 11.0

448 1,1885 325

21.3 29.50.2 –0.19.7 13.0

1,227568

15,63855

95.8

5.7 6.05,978 5,498

4.3 3.211,481 9,760

92.6 62.56.3 11.5

0.5 0.416.2 13.217.3 22.4

15 27542 467

24,118 9,579

4.9 10.275 42

100 99100 98100 100100 100100 ..100 100

..

..6 7

21.9 19.915.1 13.0

4.7 4.73.6 1.55.1 0.20.0 0.00.4 0.30.1 0.32.4 9.3

Australia







Country data

High-income group


39,750 36,60866.1 77.6

0.5 1.10.4 0.7

40 362.8 11.0

2,332 1,188202 325

46.8 29.5–0.2 –0.128.5 13.051362

3,1004

0.3

8.2 6.04,174 5,49811.6 3.2

7,889 9,76036.8 62.557.0 11.5

0.3 0.48.5 13.2

21.2 22.434 27

503 467

6,680 9,579

3.8 10.21 42

100 99100 98100 100100 100100 ..100 100

..

..5 7

25.8 19.914.2 13.05.3 4.70.3 1.50.0 0.20.0 0.00.2 0.30.3 0.3

16.1 9.3

Austria








Country data

Europe & Central

Asiagroup


1,840 4,815 2,03851.6 63.8 47.30.8 0.2 3.01.1 0.1 1.1

58 28 4269.3 10.9 26.3174 400 2,057221 129 531

11.3 38.3 26.50.0 –0.0 0.14.8 7.0 12.8

44638

4,3000

0.9

2.8 3.3 3.61,649 2,826 1,216

0.0 2.2 12.82,407 3,633 1,50285.8 66.1 78.614.2 17.5 16.8

1.0 0.8 0.83.8 7.1 3.4

–41.7 –30.2 71.159 29 6957 152 21

965 11,473 5,769

213.0 7.5 7.368 59 7577 92 8159 80 7195 99 9354 85 5536 70 3973 93 76

3.121.7

88 26 36

57.0 22.6 41.412.1 10.3 10.42.8 4.1 2.5

83.8 18.4 11.10.0 1.1 1.10.0 0.0 0.02.4 1.1 1.21.1 0.5 1.1

–39.7 –4.9 18.9

Azerbaijan







.. 36,60890.6 77.6

2.1 1.11.6 0.7

1 368.3 11.0

.. 1,188388 325

51.4 29.50.0 –0.12.1 13.0

34737

1,1115

4.3

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.46.3 13.23.0 22.437 27

290 467

.. 9,579

.. 10.2

.. 4297 9986 9898 100

100 100100 ..100 100

..

..14 7

.. 19.9

.. 13.03.8 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.30.5 0.3

.. 9.3

Population (thousands) 327 Land area (1,000 sq. km) 10 GDP ($ billions) ..

Country data

High-income group

Bahamas, The







19,350 36,60896.7 77.6

3.1 1.12.5 0.7

14 3666.7 11.0

9,200 1,1881,268 325

.. 29.5

.. –0.11.1 13.0

21016

195..

0.0

3.0 6.011,214 5,498

0.0 3.211,401 9,760100.0 62.5

0.0 11.5

0.8 0.423.8 13.244.6 22.4

88 27325 467

.. 9,579

.. 10.257 42

.. 99

.. 98100 100

.. 100

.. ..100 100

..

..10 7

.. 19.9

.. 13.04.4 4.7

.. 1.5

.. 0.20.0 0.0

.. 0.30.6 0.3

.. 9.3

Population (thousands) 739 Land area (sq. km) 710 GDP ($ billions) 16.0

Country data

High-income group

Bahrain







450 768 64925.5 28.8 30.4

3.6 2.7 3.12.0 1.8 2.0

69 55 4556.1 39.2 24.0

2,210 1,391 ..1,444 619 544

6.7 16.8 23.90.1 –0.1 0.60.5 6.0 9.9

73589

5,000121.6

6.8 4.6 3.8158 453 486

34.3 31.5 41.7136 432 391

94.3 79.9 72.45.7 16.7 24.8

0.2 0.5 0.50.2 1.1 0.9

141.8 97.0 55.7140 81 74

.. 8 8

685 1,230 3,077

75.6 51.8 18.996 90 8974 84 7572 81 6982 94 8839 37 3835 27 2851 63 60

20.86.169 83 112

31.6 32.1 30.58.1 8.9 9.01.9 3.5 3.45.6 4.5 9.40.0 0.9 1.30.7 0.5 0.60.4 1.1 1.00.5 0.8 0.7

18.3 18.8 11.9

Country data

SouthAsia

group

Low-income group

Population (millions) 156 Land area (1,000 sq. km) 130 GDP ($ billions) 61.9

Bangladesh








Country data

High-income group

.. 36,60853.3 77.6

1.6 1.10.5 0.7

44 3629.4 11.0885 1,188863 325

4.7 29.50.0 –0.10.0 13.0

23620

5722

0.3

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.44.4 13.2

17.7 22.434 27

343 467

343 9,579

90.0 10.222 42

100 99100 98100 100100 100100 ..99 100

..

..12 7

.. 19.9

.. 13.07.0 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.30.0 0.3

.. 9.3

Barbados







3,470 4,815 2,03872.7 63.8 47.30.3 0.2 3.0

–0.3 0.2 1.1

43 28 422.0 10.9 26.3

2,253 400 2,05750 129 531

38.0 38.3 26.5–0.5 –0.0 0.16.3 7.0 12.8297

172,100

..0.0

3.1 3.3 3.62,720 2,826 1,216

4.8 2.2 12.83,209 3,633 1,502

99.8 66.1 78.60.1 17.5 16.8

0.8 0.8 0.86.6 7.1 3.4

–39.9 –30.2 71.17 29 69

181 152 21

3,805 11,473 5,769

7.5 7.5 7.330 59 75

100 92 81100 80 71100 99 9384 85 5561 70 3993 93 76

..

..13 26 36

26.4 22.6 41.411.2 10.3 10.4

5.7 4.1 2.52.1 18.4 11.10.0 1.1 1.10.0 0.0 0.01.6 1.1 1.2

.. 0.5 1.117.2 –4.9 18.9

Country data

Europe & Central

Asiagroup



Belarus








Country data

High-income group

38,460 36,60897.2 77.60.4 1.10.3 0.7

46 364.7 11.0

.. 1,18835 325

22.1 29.50.1 –0.13.5 13.051929

1,5501

0.0

5.9 6.05,407 5,498

2.8 3.28,510 9,76040.9 62.5

0.3 11.5

0.3 0.49.7 13.20.0 22.423 27

468 467

1,145 9,579

.. 10.2

.. 42

.. 99

.. 98100 100

.. 100

.. ..

.. 100

..

..4 7

23.9 19.915.4 13.05.9 4.70.0 1.50.0 0.20.0 0.00.2 0.30.2 0.3

14.1 9.3

Belgium







3,740 4,785 5,91348.5 77.7 75.0

3.0 2.1 1.42.8 1.5 0.9

7 36 302.9 12.5 9.0810 1,003 672216 241 112

72.5 45.4 38.80.0 0.5 0.2

46.3 19.7 10.969144

2,894301.9

.. 7.0 4.6

.. 1,198 2,248

.. 14.8 6.5

.. 1,715 3,131

.. 37.0 61.9

.. 57.6 27.8

0.4 0.3 0.62.8 2.5 5.6

154.1 29.6 –7.717 37 33

121 115 140

54,832 24,471 17,199

0.9 2.0 4.020 71 5491 91 9382 73 78

100 96 9847 77 8125 49 6071 86 89

6.711.0

16 26 26

19.1 22.4 22.312.5 12.1 11.45.2 4.4 4.40.0 9.1 14.40.0 3.0 2.00.0 0.0 0.00.6 0.4 0.70.0 0.4 0.4

11.2 1.8 –2.2

Country data


group


Population (thousands) 298 Land area (1,000 sq. km) 23 GDP ($ billions) 1.2

Belize








Country data


Low-income group

530 829 64940.5 35.8 30.4

4.3 4.1 3.13.3 2.6 2.0

32 44 450.4 3.5 24.0

0 .. ..185 351 544

21.3 26.5 23.92.3 0.7 0.6

23.9 11.3 9.9644

342,500

140.2

4.0 2.7 3.8304 681 48664.7 56.3 41.7

69 542 39199.1 76.1 72.40.9 20.1 24.8

0.2 0.6 0.50.3 0.9 0.9

233.8 46.3 55.741 60 7413 .. 8

1,213 5,093 3,077

1.3 3.1 18.945 87 8967 56 7557 42 6978 80 8833 37 3811 28 2859 53 60

12.013.4148 157 112

.. 19.4 30.58.5 10.7 9.03.6 3.8 3.40.0 18.7 9.40.0 2.3 1.30.9 0.4 0.60.3 0.6 1.00.4 0.4 0.7

.. –10.0 11.9

Benin








Country data

High-income group

.. 36,608100.0 77.6

0.3 1.10.3 0.7

20 36.. 11.0.. 1,1880 325

20.0 29.50.0 –0.18.0 13.0

24343

1674

1.5

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.48.7 13.2

–6.8 22.4.. 27.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.9

.. 13.03.3 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Bermuda







Population (thousands) 649 Land area (1,000 sq. km) 47 GDP ($ millions) 942

Country data

South Asia

group


1,430 768 2,03811.4 28.8 47.34.0 2.7 3.01.1 1.8 1.1

13 55 4223.5 39.2 26.3

.. 1,391 2,057356 619 531

68.0 16.8 26.5–0.3 –0.1 0.125.6 6.0 12.871741

5,4687

1.1

.. 4.6 3.6

.. 453 1,216

.. 31.5 12.8

.. 432 1,502

.. 79.9 78.6

.. 16.7 16.8

0.2 0.5 0.80.7 1.1 3.4

222.9 97.0 71.127 81 6912 8 21

149,134 1,230 5,769

0.4 51.8 7.394 90 7562 84 8160 81 7186 94 9370 37 5570 27 3965 63 76

..

..70 83 36

39.4 32.1 41.49.8 8.9 10.43.8 3.5 2.50.0 4.5 11.10.0 0.9 1.12.8 0.5 0.00.4 1.1 1.20.2 0.8 1.1

30.0 18.8 18.9

Bhutan







Population (millions) 9.4 Land area (1,000 sq. km) 1,084 GDP ($ billions) 11.2

Country data


group


1,100 4,785 2,03864.7 77.7 47.3

3.1 2.1 3.02.1 1.5 1.1

35 36 424.1 12.5 26.381 1,003 2,057

108 241 531

54.2 45.4 26.50.4 0.5 0.1

19.5 19.7 12.81,775

8017,367

7113.8

6.4 7.0 3.6578 1,198 1,21614.0 14.8 12.8479 1,715 1,502

49.0 37.0 78.647.8 57.6 16.8

0.2 0.3 0.80.8 2.5 3.4

26.7 29.6 71.197 37 6915 115 21

33,054 24,471 5,769

0.5 2.0 7.381 71 7585 91 8168 73 7195 96 9346 77 5522 49 3960 86 76

22.024.8

61 26 36

26.9 22.4 41.49.8 12.1 10.46.3 4.4 2.5

40.6 9.1 11.14.9 3.0 1.10.0 0.0 0.00.7 0.4 1.21.4 0.4 1.1

–24.2 1.8 18.9

Bolivia








Country data

Europe & Central

Asiagroup


3,230 4,815 2,03846.3 63.8 47.3

0.5 0.2 3.0–0.6 0.1 1.1

42 28 420.3 10.9 26.3597 400 2,057213 129 531

42.7 38.3 26.50.1 –0.0 0.10.5 7.0 12.8

39055

..1

0.4

4.7 3.3 3.61,268 2,826 1,216

3.7 2.2 12.82,316 3,633 1,502

57.1 66.1 78.642.9 17.5 16.8

0.7 0.8 0.84.0 7.1 3.4

125.6 –30.2 71.119 29 69

.. 152 21

9,067 11,473 5,769

.. 7.5 7.3

.. 59 7597 92 8196 80 7199 99 9395 85 5592 70 3999 93 76

1.58.915 26 36

6.0 22.6 41.410.4 10.3 10.4

.. 4.1 2.50.3 18.4 11.10.0 1.1 1.1

.. 0.0 0.01.3 1.1 1.20.1 0.5 1.1

.. –4.9 18.9

Bosnia and Herzegovina







Country data




5,570 829 5,91358.2 35.8 75.0

4.0 4.1 1.41.9 2.6 0.9

46 44 300.3 3.5 9.0

.. .. 672207 351 112

21.1 26.5 38.80.9 0.7 0.2

30.9 11.3 10.9739

182,151

01.5

11.6 2.7 4.61,032 681 2,248

24.1 56.3 6.51,406 542 3,131100.0 76.1 61.9

0.0 20.1 27.8

0.2 0.6 0.62.4 0.9 5.6

98.1 46.3 –7.768 60 3347 .. 140

1,307 5,093 17,199

8.1 3.1 4.041 87 5495 56 9390 42 78

100 80 9842 37 8125 28 6057 53 89

38.56.5124 157 26

55.8 19.4 22.312.5 10.7 11.4

8.6 3.8 4.40.3 18.7 14.47.0 2.3 2.00.0 0.4 0.00.3 0.6 0.7

.. 0.4 0.444.2 –10.0 –2.2

Botswana








Country data


group


4,710 4,785 5,91384.7 77.7 75.02.2 2.1 1.41.5 1.5 0.9

31 36 304.4 12.5 9.0

1,366 1,003 67250 241 112

56.5 45.4 38.80.6 0.5 0.2

18.1 19.7 10.92,290

34356,215

382100.0

7.6 7.0 4.61,122 1,198 2,24826.5 14.8 6.5

2,008 1,715 3,13110.1 37.0 61.983.7 57.6 27.8

0.2 0.3 0.61.8 2.5 5.6

58.2 29.6 –7.726 37 33

136 115 140

29,000 24,471 17,199

1.1 2.0 4.062 71 5490 91 9357 73 7896 96 9875 77 8137 49 6083 86 89

23.713.1

20 26 26

17.8 22.4 22.312.0 12.1 11.44.3 4.4 4.43.7 9.1 14.42.3 3.0 2.00.0 0.0 0.00.2 0.4 0.70.3 0.4 0.43.5 1.8 –2.2

Brazil







26,930 36,60873.9 77.6

3.2 1.12.5 0.7

5 365.6 11.0

.. 1,188708 325

52.8 29.50.8 –0.1

61.5 13.0567

506,000

990.1

6.7 6.07,065 5,498

0.7 3.27,498 9,760100.0 62.5

0.0 11.5

0.5 0.424.1 13.251.3 22.4

46 27397 467

22,738 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..9 7

.. 19.9

.. 13.02.8 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.30.3 0.3

.. 9.3

Country data

High-income group

Population (thousands) 382 Land area (1,000 sq. km) 5.3 GDP ($ billions) 11.6

Brunei Darussalam








Country data

Europe & Central

Asiagroup


3,990 4,815 5,91370.3 63.8 75.0–0.4 0.2 1.4–0.8 0.1 0.9

48 28 3016.6 10.9 9.0

1,770 400 67273 129 112

33.4 38.3 38.8–0.6 –0.0 0.210.3 7.0 10.9485

473,572

00.9

3.6 3.3 4.62,592 2,826 2,248

3.7 2.2 6.54,121 3,633 3,131

47.7 66.1 61.99.9 17.5 27.8

0.6 0.8 0.65.5 7.1 5.6

–43.5 –30.2 –7.760 29 33

314 152 140

2,713 11,473 17,199

50.0 7.5 4.019 59 5499 92 9397 80 78

100 99 9899 85 8196 70 60

100 93 89

..

..14 26 26

15.5 22.6 22.311.9 10.3 11.44.2 4.1 4.40.9 18.4 14.42.0 1.1 2.00.0 0.0 0.01.2 1.1 0.71.6 0.5 0.42.1 –4.9 –2.2

Bulgaria







440 829 64918.7 35.8 30.44.9 4.1 3.13.0 2.6 2.0

40 44 450.5 3.5 24.0

126 .. ..235 351 544

24.8 26.5 23.90.3 0.7 0.6

15.4 11.3 9.9581

131,100

20.3

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.08 0.57 0.530.08 0.92 0.9010.3 46.3 55.7

94 60 745 .. 8

897 5,093 3,077

6.4 3.1 18.986 87 8961 56 7554 42 6994 80 8813 37 38

6 28 2842 53 60

9.020.0204 157 112

.. 19.4 30.58.1 10.7 9.04.5 3.8 3.40.0 18.7 9.40.0 2.3 1.30.9 0.4 0.60.1 0.6 1.01.4 0.4 0.7

.. –10.0 11.9

Country data


Low-income group


Burkina Faso







Population (millions) 8.2 Land area (1,000 sq. km) 26 GDP ($ millions) 903

Country data


Low-income group

100 829 64910.3 35.8 30.45.3 4.1 3.12.3 2.6 2.0

91 44 451.5 3.5 24.035 .. ..

728 351 544

5.9 26.5 23.94.2 0.7 0.65.7 11.3 9.9

71348

2,5002

0.5

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.09 0.57 0.530.03 0.92 0.9013.2 46.3 55.7

30 60 741 .. 8

1,285 5,093 3,077

2.9 3.1 18.977 87 8979 56 7577 42 6992 80 8836 37 3835 28 2847 53 60

13.0..

181 157 112

2.0 19.4 30.56.4 10.7 9.05.1 3.8 3.40.0 18.7 9.40.8 2.3 1.3

10.5 0.4 0.60.2 0.6 1.00.1 0.4 0.7

–10.9 –10.0 11.9

Burundi







Country data

East Asia & Pacific

group

Low-income group


490 1,856 64920.3 42.4 30.4

5.4 3.5 3.12.4 1.1 2.0

30 51 457.0 .. 24.0

0 .. ..303 547 544

59.2 28.4 23.91.4 0.1 0.6

23.5 12.1 9.9648

82..

313.9

.. 3.3 3.8

.. 1,182 486

.. 15.5 41.7

.. 1,492 39141.0 81.9 72.41.9 15.6 24.8

0.03 0.90 0.530.04 3.27 0.9018.7 97.7 55.7

62 73 74.. 14 8

8,642 5,022 3,077

3.4 11.1 18.998 74 8941 79 7535 70 6964 92 8817 51 388 36 28

53 72 60

20.018.9

82 29 112

18.1 47.2 30.58.7 10.3 9.01.8 2.1 3.40.0 7.1 9.40.0 0.9 1.30.3 0.0 0.60.1 1.2 1.00.4 1.3 0.7

10.5 28.5 11.9

Cambodia







990 829 2,03855.5 35.8 47.3

4.4 4.1 3.02.5 2.6 1.1

20 44 420.4 3.5 26.379 .. 2,057

136 351 531

45.6 26.5 26.51.0 0.7 0.18.0 11.3 12.8

1,258157

8,26035513.3

5.1 2.7 3.6392 681 1,21678.6 56.3 12.8196 542 1,5025.6 76.1 78.6

94.4 20.1 16.8

0.1 0.6 0.80.2 0.9 3.4

139.0 46.3 71.165 60 6911 .. 21

15,341 5,093 5,769

0.4 3.1 7.374 87 7566 56 8144 42 7186 80 9351 37 5543 28 3958 53 76

11.018.9149 157 36

17.5 19.4 41.49.4 10.7 10.41.6 3.8 2.5

14.9 18.7 11.10.1 2.3 1.10.0 0.4 0.00.2 0.6 1.20.8 0.4 1.1

–6.2 –10.0 18.9


Country data



Cameroon








Country data

High-income group

36,650 36,60880.2 77.6

1.3 1.11.0 0.7

7 361.5 11.0

613 1,18814 325

34.1 29.50.0 –0.16.9 13.0

68377

3,2701

22.2

4.2 6.08,417 5,498

4.6 3.217,285 9,760

25.8 62.557.9 11.5

0.6 0.420.0 13.253.7 22.4

19 27561 467

88,203 9,579

1.6 10.212 42

100 9999 98

100 100100 10099 ..

100 100

..

..6 7

23.7 19.914.6 13.05.2 4.77.4 1.51.1 0.20.0 0.00.3 0.30.1 0.35.4 9.3

Canada







Country data



2,130 829 2,03858.0 35.8 47.3

4.1 4.1 3.02.4 2.5 1.1

18 44 426.1 3.5 26.3

.. .. 2,057470 351 531

20.8 26.5 26.5–2.5 0.7 0.10.2 11.3 12.8

18625

7742

3.2

.. 2.7 3.6

.. 681 1,216

.. 56.3 12.8

.. 542 1,502

.. 76.1 78.6

.. 20.1 16.8

0.2 0.6 0.80.6 0.9 3.4

212.5 46.3 71.1.. 60 69.. .. 21

592 5,093 5,769

7.3 3.1 7.391 87 7580 56 8173 42 7186 80 9343 37 5519 28 3961 53 76

..

..34 157 36

28.8 19.4 41.410.8 10.7 10.4

6.1 3.8 2.50.0 18.7 11.10.0 2.3 1.10.0 0.4 0.00.1 0.6 1.2

.. 0.4 1.123.9 –10.0 18.9


Cape Verde







.. 36,608100.0 77.6

.. 1.1

.. 0.7

12 36.. 11.0.. 1,1880 325

46.2 29.50.0 –0.13.1 13.0

22122

5392

0.7

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.47.1 13.2

25.0 22.420 27

.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group


Cayman Islands







Country data


Low-income group

350 829 64938.2 35.8 30.4

2.4 4.1 3.12.2 2.6 2.0

8 44 450.1 3.5 24.0

.. .. ..135 351 544

36.5 26.5 23.90.1 0.7 0.6

16.6 11.3 9.9850

173,602

151.7

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.09 0.57 0.530.06 0.92 0.9027.8 46.3 55.7

49 60 741 .. 8

33,640 5,093 3,077

0.0 3.1 18.94 87 89

75 56 7561 42 6993 80 8827 37 3812 28 2847 53 60

10.026.5175 157 112

.. 19.4 30.57.8 10.7 9.01.6 3.8 3.40.0 18.7 9.40.0 2.3 1.30.0 0.4 0.60.1 0.6 1.00.4 0.4 0.7

.. –10.0 11.9


Central African Republic







Country data


Low-income group

450 829 64925.8 35.8 30.4

4.7 4.1 3.13.4 2.6 2.0

39 44 450.8 3.5 24.0

.. .. ..180 351 544

9.5 26.5 23.90.6 0.7 0.69.5 11.3 9.9

63521

1,6002

2.1

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.01 0.57 0.530.01 0.92 0.90

–12.8 46.3 55.7123 60 74

.. .. 8

1,478 5,093 3,077

1.5 3.1 18.983 87 8942 56 7543 42 6941 80 889 37 384 28 28

24 53 60

9.231.2209 157 112

29.5 19.4 30.510.9 10.7 9.01.3 3.8 3.4

65.4 18.7 9.40.0 2.3 1.30.0 0.4 0.60.0 0.6 1.01.1 0.4 0.7

–46.6 –10.0 11.9


Chad







.. 36,60830.6 77.6

0.1 1.10.3 0.7

40 36.. 11.0.. 1,188

2,718 325

5.3 29.50.0 –0.1

.. 13.0

..

..

..

..0.0

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.4

.. 13.2

.. 22.4

.. 27

.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group


Channel Islands







Country data


group



6,810 4,785 5,91387.9 77.7 75.01.7 2.1 1.41.4 1.5 0.9

20 36 3081.0 12.5 9.0

3,019 1,003 672104 241 112

21.5 45.4 38.8–0.4 0.5 0.23.6 19.7 10.9

60495

5,28439

16.2

6.7 7.0 4.61,815 1,198 2,24815.5 14.8 6.5

3,074 1,715 3,13150.1 37.0 61.948.1 57.6 27.8

0.3 0.3 0.63.9 2.5 5.6

75.1 29.6 –7.753 37 3388 115 140

54,249 24,471 17,199

1.4 2.0 4.064 71 5495 91 9358 73 78

100 96 9891 77 8162 49 6095 86 89

..

..9 26 26

27.6 22.4 22.314.2 12.1 11.4

3.7 4.4 4.40.6 9.1 14.4

27.5 3.0 2.00.0 0.0 0.00.4 0.4 0.70.6 0.4 0.4

–12.1 1.8 –2.2

Chile







2,000 1,856 2,03841.3 42.4 47.33.5 3.5 3.00.9 1.1 1.1

60 51 4235.6 .. 26.3

3,410 .. 2,057543 547 531

21.2 28.4 26.5–1.5 0.1 0.111.8 12.1 12.8

1,801351

32,20044664.8

3.1 3.3 3.61,316 1,182 1,21613.0 15.5 12.8

1,781 1,492 1,50281.9 81.9 78.615.9 15.6 16.8

1.0 0.9 0.83.9 3.3 3.4

108.7 97.7 71.175 73 6915 14 21

2,156 5,022 5,769

22.4 11.1 7.368 74 7577 79 8167 70 7193 92 9344 51 5528 36 3969 72 76

..

..24 29 36

53.8 47.2 41.410.2 10.3 10.4

1.8 2.1 2.55.8 7.1 11.10.7 0.9 1.10.0 0.0 0.01.3 1.2 1.21.5 1.3 1.1

36.1 28.5 18.9

Country data

East Asia & Pacific

group



China







3,120 4,785 2,03873.0 77.7 47.3

2.0 2.1 3.01.7 1.5 1.1

38 36 4224.0 12.5 26.3

2,330 1,003 2,057612 241 531

54.7 45.4 26.50.1 0.5 0.1

74.4 19.7 12.82,288

38251,220

22257.3

9.2 7.0 3.6636 1,198 1,21614.4 14.8 12.8890 1,715 1,50221.7 37.0 78.677.2 57.6 16.8

0.2 0.3 0.81.2 2.5 3.4–7.7 29.6 71.123 37 6935 115 21

46,990 24,471 5,769

0.5 2.0 7.346 71 7593 91 8171 73 7199 96 9386 77 5554 49 3996 86 76

9.613.9

21 26 36

20.9 22.4 41.411.4 12.1 10.45.0 4.4 2.59.7 9.1 11.11.7 3.0 1.10.0 0.0 0.00.3 0.4 1.20.1 0.4 1.12.5 1.8 18.9

Country data


group



Colombia







Country data


Low-income group

660 829 64937.7 35.8 30.44.0 4.1 3.12.1 2.6 2.0

80 44 45.. 3.5 24.0.. .. ..

473 351 544

2.7 26.5 23.95.7 0.7 0.6

21.7 11.3 9.9153

23721

52.2

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.1 0.6 0.50.1 0.9 0.9

33.3 46.3 55.736 60 74

.. .. 8

1,998 5,093 3,077

0.8 3.1 18.947 87 8986 56 7582 42 6992 80 8833 37 3829 28 2841 53 60

10.118.3

68 157 112

4.3 19.4 30.58.7 10.7 9.04.2 3.8 3.40.0 18.7 9.40.0 2.3 1.30.1 0.4 0.60.2 0.6 1.00.1 0.4 0.7

–0.6 –10.0 11.9

Population (thousands) 614 Land area (1,000 sq. km) 1.9 GDP ($ millions) 403

Comoros







Country data


Low-income group


130 829 64932.7 35.8 30.43.9 4.1 3.12.9 2.6 2.0

10 44 450.1 3.5 24.0

.. .. ..595 351 544

58.9 26.5 23.90.3 0.7 0.68.6 11.3 9.9

1,578126

11,00765

17.0

0.9 2.7 3.8289 681 48692.5 56.3 41.7

91 542 3910.3 76.1 72.4

99.7 20.1 24.8

0.1 0.6 0.50.04 0.92 0.90

–47.0 46.3 55.750 60 74

.. .. 8

15,322 5,093 3,077

0.0 3.1 18.931 87 8946 56 7529 42 6982 80 8830 37 3825 28 2842 53 60

11.022.7205 157 112

9.3 19.4 30.56.8 10.7 9.00.9 3.8 3.44.8 18.7 9.44.2 2.3 1.30.0 0.4 0.60.2 0.6 1.00.6 0.4 0.7

–6.3 –10.0 11.9

Congo, Dem. Rep.







1,050 829 2,03860.6 35.8 47.3

3.3 4.1 3.02.6 2.6 1.1

31 44 420.4 3.5 26.3

.. .. 2,057290 351 531

65.8 26.5 26.50.1 0.7 0.1

18.0 11.3 12.8763

376,000

353.4

9.8 2.7 3.6332 681 1,216

56.3 56.3 12.8160 542 1,5020.3 76.1 78.6

99.7 20.1 16.8

0.3 0.6 0.81.0 0.9 3.4

201.9 46.3 71.191 60 698 .. 21

61,498 5,093 5,769

0.0 3.1 7.39 87 75

58 56 8127 42 7184 80 9327 37 5525 28 3928 53 76

..

..126 157 36

.. 19.4 41.4

.. 10.7 10.42.6 3.8 2.5

.. 18.7 11.1

.. 2.3 1.1

.. 0.4 0.0

.. 0.6 1.21.0 0.4 1.1

.. –10.0 18.9

Country data




Congo, Rep.







Country data


group



4,980 4,785 5,91362.2 77.7 75.0

3.5 2.1 1.42.2 1.5 0.9

57 36 3020.2 12.5 9.0

10,345 1,003 672737 241 112

46.8 45.4 38.80.5 0.5 0.2

23.6 19.7 10.91,070

13112,119

11111.1

9.9 7.0 4.6883 1,198 2,2487.0 14.8 6.5

1,719 1,715 3,1313.3 37.0 61.9

79.6 57.6 27.8

0.2 0.3 0.61.5 2.5 5.6

119.5 29.6 –7.737 37 33

146 115 140

25,975 24,471 17,199

2.4 2.0 4.053 71 5497 91 9392 73 78

100 96 9892 77 8197 49 6089 86 89

..

..12 26 26

19.4 22.4 22.36.2 12.1 11.44.0 4.4 4.40.0 9.1 14.40.0 3.0 2.00.2 0.0 0.00.2 0.4 0.70.3 0.4 0.4

16.5 1.8 –2.2

Costa Rica







Country data


Low-income group


880 829 64945.4 35.8 30.4

3.3 4.1 3.12.5 2.6 2.0

64 44 451.1 3.5 24.0

142 .. ..292 351 544

32.7 26.5 23.9–0.1 0.7 0.617.1 11.3 9.993173

3,6601053.9

3.8 2.7 3.8422 681 486

58.3 56.3 41.7170 542 391

74.2 76.1 72.425.8 20.1 24.8

0.2 0.6 0.50.3 0.9 0.9

–4.2 46.3 55.748 60 74

7 .. 8

4,132 5,093 3,077

1.2 3.1 18.965 87 8984 56 7574 42 6997 80 8837 37 3829 28 2846 53 60

3.720.1127 157 112

15.1 19.4 30.59.6 10.7 9.04.7 3.8 3.4

12.5 18.7 9.40.0 2.3 1.30.0 0.4 0.60.3 0.6 1.00.4 0.4 0.7

–3.0 –10.0 11.9

Côte d’Ivoire







9,310 4,815 5,91356.8 63.8 75.0–0.1 0.2 1.4–0.5 0.1 0.9

48 28 300.7 10.9 9.0

1,241 400 672174 129 112

38.2 38.3 38.8–0.1 –0.0 0.26.5 7.0 10.9

46178

4,2881

0.5

6.6 3.3 4.62,000 2,826 2,248

4.0 2.2 6.53,475 3,633 3,13148.5 66.1 61.951.3 17.5 27.8

0.4 0.8 0.65.3 7.1 5.6

–4.5 –30.2 –7.731 29 33

312 152 140

8,485 11,473 17,199

.. 7.5 4.0

.. 59 54100 92 93100 80 78100 99 98100 85 81100 70 60100 93 89

..11.3

6 26 26

24.7 22.6 22.312.9 10.3 11.4

4.5 4.1 4.42.1 18.4 14.40.0 1.1 2.00.2 0.0 0.00.4 1.1 0.70.5 0.5 0.4

13.0 –4.9 –2.2

Country data

Europe & Central

Asiagroup



Croatia







.. 4,785 2,03875.4 77.7 47.3

0.5 2.1 3.00.4 1.5 1.1

60 36 4219.5 12.5 26.3191 1,003 2,05775 241 531

24.7 45.4 26.5–1.9 0.5 0.11.4 19.7 12.8

423115

6,522163

13.5

.. 7.0 3.6906 1,198 1,21620.3 14.8 12.8

1,152 1,715 1,50297.5 37.0 78.60.6 57.6 16.8

.. 0.3 0.82.3 2.5 3.4

–19.5 29.6 71.117 37 69.. 115 21

3,384 24,471 5,769

21.5 2.0 7.369 71 7591 91 8178 73 7195 96 9398 77 5595 49 3999 86 76

..

..7 26 36

.. 22.4 41.4

.. 12.1 10.47.1 4.4 2.5

.. 9.1 11.1

.. 3.0 1.1

.. 0.0 0.0

.. 0.4 1.20.1 0.4 1.1

.. 1.8 18.9

Country data


group


Population (millions) 11 Land area (1,000 sq. km) 110 GDP ($ billions) ..

Cuba







Country data

High-income group

23,270 36,60869.5 77.6

2.0 1.11.8 0.7

18 3620.5 11.0

1,410 1,188194 325

18.8 29.5–0.5 –0.18.3 13.037023

1,6827

0.5

7.3 6.03,368 5,498

0.6 3.25,560 9,760100.0 62.5

0.0 11.5

0.4 0.49.1 13.2

45.2 22.447 27

550 467

1,056 9,579

30.0 10.271 42

100 99100 98100 100100 100100 ..100 100

..

..4 7

.. 19.913.9 13.0

5.8 4.70.0 1.50.0 0.20.0 0.00.3 0.30.9 0.3

.. 9.3


Cyprus








Country data

High-income group

12,790 36,60873.5 77.6–0.2 1.1–0.1 0.7

55 360.7 11.0

1,525 1,18889 325

34.3 29.50.0 –0.1

18.7 13.047439

1,9004

0.1

4.6 6.04,417 5,498

3.9 3.26,343 9,760

66.0 62.52.9 11.5

0.6 0.411.5 13.2

–27.7 22.422 27

363 467

1,290 9,579

19.5 10.22 42

100 99100 98100 100

98 10097 ..99 100

..

..4 7

25.4 19.913.7 13.04.2 4.70.3 1.50.0 0.20.1 0.00.7 0.30.1 0.3

14.7 9.3

Czech Republic







52,110 36,60885.7 77.60.4 1.10.4 0.7

61 3611.2 11.0599 1,188

35 325

11.8 29.5–0.8 –0.125.7 13.0508

281,450

30.2

9.3 6.03,621 5,49813.2 3.2

6,663 9,76070.7 62.50.1 11.5

0.3 0.49.8 13.26.4 22.419 27

354 467

1,108 9,579

21.2 10.243 42

100 99100 98100 100

.. 100

.. ..

.. 100

..

..5 7

25.0 19.915.0 13.0

8.1 4.73.4 1.50.0 0.20.0 0.00.1 0.30.1 0.3

14.4 9.3

Country data

High-income group


Denmark








Country data

Middle East &

N. Africa group


1,060 2,507 2,03886.5 57.5 47.3

3.2 2.6 3.02.4 2.0 1.1

73 22 42.. 33.8 26.3.. 1,050 2,057

11,178 672 531

0.3 2.4 26.50.0 –0.4 0.10.4 3.4 12.841828

8262

0.5

.. 4.7 3.6

.. 1,270 1,216

.. 1.1 12.8

.. 1,358 1,502

.. 92.5 78.6

.. 7.4 16.8

0.3 0.7 0.80.5 3.9 3.44.2 101.1 71.144 77 69

.. 34 21

373 757 5,769

6.3 105.0 7.316 89 7573 89 8159 81 7176 96 9382 76 5550 58 3988 92 76

..

..130 42 36

18.6 .. 41.48.3 10.9 10.46.6 4.6 2.50.0 40.0 11.10.0 0.3 1.10.0 0.1 0.00.4 1.1 1.2

.. 0.6 1.116.6 .. 18.9

Djibouti







4,160 4,785 5,91373.2 77.7 75.0

0.5 2.1 1.40.0 1.5 0.9

31 36 30.. 12.5 9.0.. 1,003 672

390 241 112

61.3 45.4 38.80.6 0.5 0.2

26.5 19.7 10.9180

271,228

111.1

.. 7.0 4.6

.. 1,198 2,248

.. 14.8 6.5

.. 1,715 3,131

.. 37.0 61.9

.. 57.6 27.8

0.2 0.3 0.61.5 2.5 5.6

81.3 29.6 –7.729 37 33

.. 115 140

.. 24,471 17,199

.. 2.0 4.0

.. 71 5497 91 9390 73 78

100 96 9884 77 8175 49 6086 86 89

..

..15 26 26

.. 22.4 22.3

.. 12.1 11.45.0 4.4 4.4

.. 9.1 14.4

.. 3.0 2.0

.. 0.0 0.0

.. 0.4 0.7

.. 0.4 0.4

.. 1.8 –2.2

Country data


group



Dominica








Country data


group


2,910 4,785 2,03867.5 77.7 47.33.0 2.1 3.01.7 1.5 1.1

71 36 4220.8 12.5 26.3

.. 1,003 2,057383 241 531

28.4 45.4 26.50.0 0.5 0.1

24.6 19.7 12.8260

815,657

306.8

6.7 7.0 3.6777 1,198 1,21618.6 14.8 12.8

1,000 1,715 1,50284.8 37.0 78.614.7 57.6 16.8

0.4 0.3 0.82.1 2.5 3.4

105.2 29.6 71.123 37 6978 115 21

2,218 24,471 5,769

16.1 2.0 7.366 71 7595 91 8191 73 7197 96 9378 77 5573 49 3981 86 76

20.020.1

29 26 36

20.7 22.4 41.411.6 12.1 10.41.9 4.4 2.50.0 9.1 11.13.4 3.0 1.10.0 0.0 0.00.6 0.4 1.20.1 0.4 1.16.9 1.8 18.9

Dominican Republic







2,910 4,785 2,03863.3 77.7 47.3

2.4 2.1 3.01.6 1.5 1.1

27 36 4229.4 12.5 26.3

1,450 1,003 2,057360 241 531

39.2 45.4 26.51.6 0.5 0.1

24.3 19.7 12.81,856

34019,3621,838

30.0

8.4 7.0 3.6799 1,198 1,2165.1 14.8 12.8714 1,715 1,502

48.6 37.0 78.651.4 57.6 16.8

0.4 0.3 0.82.3 2.5 3.4

74.9 29.6 71.126 37 6932 115 21

33,076 24,471 5,769

3.9 2.0 7.382 71 7594 91 8189 73 7197 96 9389 77 5582 49 3994 86 76

57.219.9

24 26 36

28.1 22.4 41.411.4 12.1 10.41.4 4.4 2.5

28.8 9.1 11.10.4 3.0 1.10.0 0.0 0.00.5 0.4 1.20.1 0.4 1.1

–11.8 1.8 18.9

Country data


group



Ecuador







1,360 2,507 2,03843.0 57.5 47.3

1.8 2.6 3.01.9 2.0 1.1

4 22 42100.0 33.8 26.37,331 1,050 2,0571,389 672 531

0.1 2.4 26.5–2.8 –0.4 0.15.6 3.4 12.8

59959

2,0762

3.2

5.4 4.7 3.6841 1,270 1,2162.3 1.1 12.8

1,245 1,358 1,50287.9 92.5 78.611.6 7.4 16.8

0.5 0.7 0.82.2 3.9 3.4

109.6 101.1 71.1128 77 69

27 34 21

25 757 5,769

3,794.4 105.0 7.386 89 7598 89 8197 81 7199 96 9370 76 5558 58 3986 92 76

9.018.4

35 42 36

22.1 .. 41.49.8 10.9 10.44.4 4.6 2.5

24.4 40.0 11.10.2 0.3 1.10.2 0.1 0.01.1 1.1 1.21.0 0.6 1.1

–10.2 .. 18.9


Country data

Middle East &

N. Africa group


Egypt, Arab Rep.








Country data


group


2,680 4,785 2,03860.1 77.7 47.3

3.0 2.1 3.01.8 1.5 1.1

82 36 424.9 12.5 26.3

1,091 1,003 2,057406 241 531

14.4 45.4 26.51.5 0.5 0.11.9 19.7 12.857129

2,91126

0.8

7.8 7.0 3.6694 1,198 1,21632.4 14.8 12.8666 1,715 1,50242.6 37.0 78.635.0 57.6 16.8

0.2 0.3 0.80.9 2.5 3.4

135.6 29.6 71.135 37 69

.. 115 21

2,669 24,471 5,769

7.2 2.0 7.359 71 7584 91 8170 73 7194 96 9362 77 5539 49 3977 86 76

42.019.8

25 26 36

11.9 22.4 41.411.0 12.1 10.42.8 4.4 2.50.0 9.1 11.10.0 3.0 1.10.5 0.0 0.00.3 0.4 1.20.3 0.4 1.12.7 1.8 18.9

El Salvador







Country data



8,510 829 5,91339.1 35.8 75.0

3.1 4.1 1.42.4 2.6 0.9

12 44 30.. 3.5 9.0.. .. 672

228 351 112

58.2 26.5 38.80.9 0.7 0.2

16.2 11.3 10.957142

3,250631.7

.. 2.7 4.6

.. 681 2,248

.. 56.3 6.5

.. 542 3,131

.. 76.1 61.9

.. 20.1 27.8

0.4 0.6 0.611.5 0.9 5.6

4,525.0 46.3 –7.78 60 33.. .. 140

53,708 5,093 17,199

0.4 3.1 4.01 87 54

43 56 9342 42 7845 80 9853 37 8146 28 6060 53 89

..

..206 157 26

75.4 19.4 22.321.7 10.7 11.41.5 3.8 4.4

142.6 18.7 14.40.0 2.3 2.00.0 0.4 0.00.0 0.6 0.7

.. 0.4 0.4–87.5 –10.0 –2.2


Equatorial Guinea







190 829 64919.8 35.8 30.43.9 4.1 3.12.5 2.6 2.0

75 44 453.5 3.5 24.022 .. ..

573 351 544

15.4 26.5 23.90.3 0.7 0.65.0 11.3 9.9

60738

..3

0.9

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.2 0.6 0.50.2 0.9 0.9

.. 46.3 55.761 60 74

.. .. 8

619 5,093 3,077

10.7 3.1 18.997 87 8960 56 7557 42 6974 80 889 37 383 28 28

32 53 60

19.023.6

74 157 112

8.7 19.4 30.57.2 10.7 9.04.0 3.8 3.40.0 18.7 9.40.0 2.3 1.31.1 0.4 0.60.4 0.6 1.00.4 0.4 0.73.5 –10.0 11.9

Country data


Low-income group


Eritrea








Country data

High-income group

11,400 36,60869.1 77.6–1.2 1.1–1.0 0.7

20 360.7 11.0

4,867 1,18870 325

53.9 29.5–0.4 –0.121.1 13.0334

141,630

00.0

4.3 6.03,786 5,498

12.1 3.25,567 9,76098.9 62.5

0.2 11.5

0.9 0.414.0 13.2

–33.2 22.414 27

367 467

9,435 9,579

1.2 10.25 42

100 9999 98

100 10097 10096 ..97 100

..

..7 7

25.7 19.912.9 13.0

5.1 4.737.6 1.50.0 0.20.0 0.01.1 0.30.0 0.3

–20.9 9.3

Estonia







170 829 64916.3 35.8 30.44.2 4.1 3.12.6 2.6 2.0

34 44 452.5 3.5 24.026 .. ..

481 351 544

13.0 26.5 23.91.0 0.7 0.6

18.6 11.3 9.91,127

866,603

228.5

2.0 2.7 3.8288 681 48690.6 56.3 41.7

34 542 3910.7 76.1 72.4

99.3 20.1 24.8

0.2 0.6 0.50.1 0.9 0.9

169.1 46.3 55.774 60 741 .. 8

1,623 5,093 3,077

4.6 3.1 18.994 87 8922 56 7511 42 6981 80 8813 37 38

7 28 2844 53 60

12.623.6123 157 112

9.4 19.4 30.56.9 10.7 9.04.0 3.8 3.40.0 18.7 9.40.6 2.3 1.36.8 0.4 0.60.5 0.6 1.00.3 0.4 0.7

–1.7 –10.0 11.9

Country data


Low-income group


Ethiopia







Country data

High-income group

.. 36,60839.0 77.6

.. 1.1

.. 0.7

2 36.. 11.0.. 1,188

985 325

.. 29.5

.. –0.1

.. 13.0268

..236

..0.4

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.413.7 13.2

7.1 22.415 27

.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Population (thousands) 48 Land area (1,000 sq. km) 1.4 GDP ($ billions) ..

Faeroe Islands







3,720 1,856 2,03851.3 42.4 47.32.2 3.5 3.00.9 1.1 1.1

25 51 421.1 .. 26.3

333 .. 2,057204 547 531

54.7 28.4 26.5–0.1 0.1 0.11.4 12.1 12.8

12735

1,518665.0

.. 3.3 3.6

.. 1,182 1,216

.. 15.5 12.8

.. 1,492 1,502

.. 81.9 78.6

.. 15.6 16.8

0.3 0.9 0.81.3 3.3 3.4

31.5 97.7 71.123 73 6996 14 21

34,539 5,022 5,769

0.0 11.1 7.360 74 7547 79 8151 70 7143 92 9372 51 5555 36 3987 72 76

..

..18 29 36

.. 47.2 41.411.4 10.3 10.46.3 2.1 2.50.0 7.1 11.11.8 0.9 1.10.0 0.0 0.00.3 1.2 1.20.2 1.3 1.1

.. 28.5 18.9

Country data

East Asia & Pacific

group



Fiji








41,360 36,60861.2 77.60.3 1.10.3 0.7

7 362.9 11.0

1,344 1,18891 325

73.9 29.5–0.1 –0.19.7 13.0

50119

1,1021

0.2

4.6 6.06,664 5,498

19.6 3.216,120 9,760

33.2 62.519.5 11.5

0.4 0.412.6 13.228.4 22.4

18 27460 467

20,396 9,579

2.3 10.23 42

100 99100 98100 100100 100100 ..100 100

..

..4 7

26.5 19.915.8 13.0

6.0 4.70.0 1.50.2 0.20.0 0.00.2 0.30.1 0.3

16.3 9.3

Country data

High-income group

Finland







36,560 36,60876.9 77.6

0.7 1.10.3 0.7

54 3613.3 11.0

2,032 1,18877 325

28.3 29.5–0.5 –0.13.0 13.0

665117

4,6307

3.9

6.7 6.04,534 5,498

4.3 3.27,938 9,760

10.7 62.59.1 11.5

0.2 0.46.2 13.22.7 22.414 27

494 467

2,932 9,579

22.4 10.210 42

100 99100 98100 100

.. 100

.. ..

.. 100

..

..4 7

18.8 19.912.5 13.05.3 4.70.0 1.50.0 0.20.0 0.00.1 0.30.0 0.3

11.4 9.3

Country data

High-income group

Population (millions) 61 Land area (1,000 sq. km) 550 GDP ($ billions) 2,248.1

France







Country data

High-income group

.. 36,60851.7 77.61.3 1.11.8 0.7

12 364.0 11.0

2,507 1,1884,116 325

28.7 29.50.0 –0.10.3 13.013777

95947

5.6

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.42.7 13.29.6 22.4

.. 27

.. 467

39,119 9,579

.. 10.2

.. 42100 99100 98100 100

98 10097 ..99 100

..

..

.. 7

.. 19.913.0 13.0

.. 4.70.0 1.50.0 0.2

.. 0.00.1 0.3

.. 0.3

.. 9.3

Population (thousands) 259 Land area (1,000 sq. km) 3.7 GDP ($ billions) ..

French Polynesia







5,360 829 5,91384.1 35.8 75.03.5 4.1 1.42.2 2.6 0.9

20 44 301.4 3.5 9.027 .. 67265 351 112

84.5 26.5 38.80.0 0.7 0.23.4 11.3 10.9

79843

6,6511083.4

10.4 2.7 4.61,333 681 2,248

58.7 56.3 6.5999 542 3,13147.7 76.1 61.951.9 20.1 27.8

0.08 0.57 0.571.1 0.9 5.6

–77.1 46.3 –7.77 60 33.. .. 140

127,064 5,093 17,199

0.1 3.1 4.042 87 5488 56 9347 42 7895 80 9836 37 8130 28 6037 53 89

13.015.7

91 157 26

52.4 19.4 22.315.3 10.7 11.43.3 3.8 4.4

60.8 18.7 14.40.0 2.3 2.00.0 0.4 0.00.2 0.6 0.7

.. 0.4 0.4–20.6 –10.0 –2.2

Country data




Gabon







Country data


Low-income group

290 829 64954.7 35.8 30.4

5.7 4.1 3.13.4 2.6 2.0

81 44 450.6 3.5 24.0

.. .. ..213 351 544

47.1 26.5 23.9–0.4 0.7 0.63.5 11.3 9.9

66831

9744

0.1

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.2 0.6 0.50.2 0.9 0.9

50.0 46.3 55.795 60 74

5 .. 8

1,855 5,093 3,077

1.0 3.1 18.965 87 8982 56 7577 42 6995 80 8853 37 3846 28 2872 53 60

7.721.5113 157 112

10.3 19.4 30.57.8 10.7 9.02.0 3.8 3.40.0 18.7 9.40.0 2.3 1.30.6 0.4 0.60.5 0.6 1.00.8 0.4 0.72.7 –10.0 11.9


Gambia, The







Country data

Europe & Central

Asiagroup



1,580 4,815 2,03852.3 63.8 47.3–1.6 0.2 3.0–1.3 0.1 1.1

43 28 4244.0 10.9 26.3378 400 2,057267 129 531

39.7 38.3 26.50.0 –0.0 0.14.3 7.0 12.8

36646

4,3500

0.7

4.9 3.3 3.6718 2,826 1,216

20.1 2.2 12.81,672 3,633 1,50214.2 66.1 78.685.8 17.5 16.8

0.3 0.8 0.80.9 7.1 3.4

–77.3 –30.2 71.151 29 6956 152 21

12,988 11,473 5,769

6.2 7.5 7.359 59 7582 92 8167 80 7196 99 9394 85 5591 70 3996 93 76

3.86.032 26 36

7.7 22.6 41.410.4 10.3 10.42.8 4.1 2.50.4 18.4 11.10.0 1.1 1.10.0 0.0 0.00.5 1.1 1.21.4 0.5 1.1

–2.2 –4.9 18.9

Georgia








36,810 36,60875.3 77.6

0.4 1.10.2 0.7

49 364.0 11.0

2,122 1,188172 325

31.8 29.5–0.2 –0.132.0 13.061359

2,682120.7

7.3 6.04,180 5,498

3.5 3.27,111 9,76062.9 62.5

3.2 11.5

0.3 0.49.8 13.2

–17.6 22.419 27

550 467

1,297 9,579

44.0 10.220 42

100 99100 98100 100100 100100 ..100 100

..

..4 7

22.9 19.914.7 13.04.5 4.70.3 1.50.0 0.20.0 0.00.2 0.30.1 0.3

12.1 9.3

Country data

High-income group

Germany







Country data


Low-income group

510 829 64948.5 35.8 30.4

4.2 4.1 3.12.4 2.6 2.0

65 44 450.5 3.5 24.075 .. ..

281 351 544

24.2 26.5 23.92.0 0.7 0.6

16.2 11.3 9.997856

3,7251172.0

2.9 2.7 3.8397 681 486

66.0 56.3 41.7266 542 39121.5 76.1 72.478.5 20.1 24.8

0.3 0.6 0.50.3 0.9 0.9

90.8 46.3 55.734 60 74

.. .. 8

1,345 5,093 3,077

3.2 3.1 18.966 87 8975 56 7564 42 6988 80 8818 37 3811 28 2827 53 60

10.017.9120 157 112

27.4 19.4 30.58.5 10.7 9.04.7 3.8 3.40.0 18.7 9.47.7 2.3 1.31.6 0.4 0.60.5 0.6 1.00.1 0.4 0.7

13.8 –10.0 11.9


Ghana








27,390 36,60859.1 77.60.6 1.10.6 0.7

65 3637.9 11.0

1,652 1,188173 325

29.1 29.5–0.9 –0.13.3 13.0

53095

4,99211

3.0

10.5 6.02,790 5,498

3.3 3.25,242 9,760

89.1 62.58.4 11.5

0.3 0.48.7 13.2

33.5 22.436 27

388 467

5,223 9,579

13.4 10.280 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..4 7

16.4 19.96.9 13.03.4 4.70.2 1.50.2 0.20.0 0.00.3 0.30.7 0.3

11.6 9.3

Country data

High-income group

Greece







.. 36,60883.2 77.6

0.4 1.10.1 0.7

1 36.. 11.0.. 1,188.. 325

.. 29.5

.. –0.10.0 13.0

16614

5291

1.4

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.410.0 13.23.3 22.4

.. 27

.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group


Greenland








Country data


group


4,650 4,785 5,91330.7 77.7 75.00.6 2.1 1.40.9 1.5 0.9

38 36 30.. 12.5 9.0.. 1,003 672

3,696 241 112

11.8 45.4 38.80.0 0.5 0.22.1 19.7 10.9

18123

1,0683

0.6

.. 7.0 4.6

.. 1,198 2,248

.. 14.8 6.5

.. 1,715 3,131

.. 37.0 61.9

.. 57.6 27.8

0.2 0.3 0.62.0 2.5 5.6

78.8 29.6 –7.719 37 33

.. 115 140

.. 24,471 17,199

.. 2.0 4.0

.. 71 5495 91 9393 73 7897 96 9896 77 8197 49 6096 86 89

..

..20 26 26

.. 22.4 22.312.0 12.1 11.45.2 4.4 4.40.0 9.1 14.40.0 3.0 2.0

.. 0.0 0.00.3 0.4 0.70.1 0.4 0.4

.. 1.8 –2.2

Grenada







.. 36,60894.1 77.61.8 1.11.5 0.7

37 36.. 11.0.. 1,188

506 325

48.1 29.50.0 –0.12.4 13.07128

3304

0.6

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.425.0 13.2

.. 22.4

.. 27

.. 467

.. 9,579

.. 10.2

.. 42100 99100 98100 10099 10098 ..99 100

..

..

.. 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group


Guam







2,590 4,785 2,03847.7 77.7 47.33.3 2.1 3.02.4 1.5 1.1

43 36 426.3 12.5 26.3

1,379 1,003 2,057466 241 531

36.3 45.4 26.51.2 0.5 0.1

23.4 19.7 12.8877133

8,681848.9

7.8 7.0 3.6628 1,198 1,216

53.2 14.8 12.8522 1,715 1,502

45.3 37.0 78.642.8 57.6 16.8

0.2 0.3 0.81.0 2.5 3.4

140.1 29.6 71.162 37 69

.. 115 21

8,592 24,471 5,769

1.8 2.0 7.380 71 7595 91 8192 73 7199 96 9386 77 5582 49 3990 86 76

18.013.3

41 26 36

14.5 22.4 41.410.8 12.1 10.4

1.6 4.4 2.51.1 9.1 11.10.0 3.0 1.10.7 0.0 0.00.2 0.4 1.20.4 0.4 1.12.9 1.8 18.9

Country data


group



Guatemala








Country data


Low-income group

400 829 64933.5 35.8 30.4

3.7 4.1 3.12.6 2.6 2.0

51 44 455.4 3.5 24.028 .. ..

503 351 544

27.4 26.5 23.90.6 0.7 0.66.4 11.3 9.9

85561

3,000222.6

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.1 0.6 0.50.2 0.9 0.9

32.2 46.3 55.777 60 74

.. .. 8

25,104 5,093 3,077

0.7 3.1 18.990 87 8950 56 7535 42 6978 80 8818 37 3811 28 2831 53 60

15.021.2161 157 112

8.6 19.4 30.57.9 10.7 9.02.0 3.8 3.40.0 18.7 9.49.5 2.3 1.32.1 0.4 0.60.3 0.6 1.00.4 0.4 0.7

–9.7 –10.0 11.9

Guinea








Country data


Low-income group

190 829 64929.7 35.8 30.43.4 4.1 3.13.0 2.6 2.0

58 44 454.5 3.5 24.0

.. .. ..375 351 544

73.7 26.5 23.90.4 0.7 0.60.0 11.3 9.9

56029

1,0004

0.7

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.4 0.6 0.50.2 0.9 0.9

29.8 46.3 55.780 60 74

.. .. 8

10,019 5,093 3,077

1.1 3.1 18.982 87 8959 56 7549 42 6979 80 8835 37 3823 28 2857 53 60

10.131.5200 157 112

23.5 19.4 30.57.1 10.7 9.02.3 3.8 3.40.0 18.7 9.40.0 2.3 1.30.0 0.4 0.60.7 0.6 1.01.0 0.4 0.7

17.0 –10.0 11.9

Guinea-Bissau







1,150 4,785 2,03828.3 77.7 47.3–0.2 2.1 3.00.1 1.5 1.1

9 36 4229.4 12.5 26.3163 1,003 2,057111 241 531

76.7 45.4 26.50.0 0.5 0.12.5 19.7 12.8

1,02350

6,40922

3.2

.. 7.0 3.6

.. 1,198 1,216

.. 14.8 12.8

.. 1,715 1,502

.. 37.0 78.6

.. 57.6 16.8

0.6 0.3 0.82.0 2.5 3.4

27.5 29.6 71.135 37 69

.. 115 21

325,908 24,471 5,769

0.7 2.0 7.398 71 7583 91 8183 73 7183 96 9370 77 5560 49 3986 86 76

5.0..

62 26 36

.. 22.4 41.49.9 12.1 10.48.2 4.4 2.50.0 9.1 11.1

25.3 3.0 1.10.0 0.0 0.01.4 0.4 1.20.4 0.4 1.1

.. 1.8 18.9

Country data


group



Guyana







430 4,785 64939.5 77.7 30.4

3.6 2.1 3.11.8 1.5 2.0

58 36 458.4 12.5 24.0

.. 1,003 ..729 241 544

3.8 45.4 23.90.7 0.5 0.60.3 19.7 9.9312

915,242

295.8

4.4 7.0 3.8269 1,198 48675.9 14.8 41.7

37 1,715 39152.3 37.0 72.447.7 57.6 24.8

0.2 0.3 0.50.2 2.5 0.9

76.8 29.6 55.739 37 74

.. 115 8

1,398 24,471 3,077

7.6 2.0 18.994 71 8954 91 7556 73 6952 96 8830 77 3814 49 2857 86 60

39.025.7

80 26 112

.. 22.4 30.59.6 12.1 9.01.5 4.4 3.40.0 9.1 9.40.0 3.0 1.30.8 0.0 0.60.3 0.4 1.00.4 0.4 0.7

.. 1.8 11.9

Country data


group

Low-income group


Haiti








1,270 4,785 2,03847.0 77.7 47.33.2 2.1 3.02.2 1.5 1.1

26 36 425.6 12.5 26.3

585 1,003 2,057342 241 531

41.5 45.4 26.53.0 0.5 0.1

21.0 19.7 12.8900102

5,6801107.9

5.8 7.0 3.6566 1,198 1,21642.0 14.8 12.8626 1,715 1,502

66.4 37.0 78.632.3 57.6 16.8

0.4 0.3 0.81.1 2.5 3.4

193.8 29.6 71.146 37 69

.. 115 21

14,033 24,471 5,769

0.9 2.0 7.380 71 7587 91 8181 73 7195 96 9369 77 5554 49 3987 86 76

..19.3

27 26 36

32.3 22.4 41.410.0 12.1 10.43.5 4.4 2.50.0 9.1 11.12.4 3.0 1.10.0 0.0 0.00.5 0.4 1.20.4 0.4 1.1

22.5 1.8 18.9

Country data


group


Honduras







Population (millions) 6.9 Land area (1,000 sq. km) 1.0 GDP ($ billions) 189.8

Country data

High-income group

29,040 36,608100.0 77.6

1.2 1.11.2 0.7

.. 36

.. 11.0

.. 1,188

.. 325

.. 29.5

.. –0.124.7 13.0363

37..6..

13.5 6.02,653 5,498

0.3 3.25,878 9,760100.0 62.5

0.0 11.5

0.2 0.45.5 13.2

42.8 22.4.. 27

53 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

31.9 19.913.9 13.0

3.4 4.70.0 1.50.0 0.20.0 0.00.2 0.3

.. 0.321.3 9.3

Hong Kong, China







10,870 4,815 5,91366.7 63.8 75.0–0.1 0.2 1.4–0.2 0.1 0.9

65 28 301.7 10.9 9.0

1,234 400 67274 129 112

22.1 38.3 38.8–0.6 –0.0 0.29.3 7.0 10.9

45555

2,2141

0.2

6.2 3.3 4.62,752 2,826 2,248

4.0 2.2 6.53,771 3,633 3,13155.9 66.1 61.9

0.6 17.5 27.8

0.3 0.8 0.65.7 7.1 5.6

–4.9 –30.2 –7.718 29 33

274 152 140

595 11,473 17,199

127.3 7.5 4.032 59 5499 92 9398 80 78

100 99 9895 85 8185 70 60

100 93 89

..

..7 26 26

20.3 22.6 22.313.6 10.3 11.45.5 4.1 4.41.3 18.4 14.40.0 1.1 2.00.0 0.0 0.00.4 1.1 0.70.1 0.5 0.4

10.3 –4.9 –2.2

Country data

Europe & Central

Asiagroup



Hungary







49,960 36,60892.9 77.6

1.2 1.11.1 0.7

23 36.. 11.0

25,249 1,188305 325

0.5 29.5–4.1 –0.14.7 13.0

33817

3770

1.0

2.9 6.012,219 5,498

0.1 3.227,987 9,760

0.1 62.580.8 11.5

0.2 0.47.6 13.2

10.3 22.417 27

632 467

572,873 9,579

0.1 10.26 42

100 99100 98100 100100 100100 ..100 100

..

..3 7

7.0 19.912.5 13.0

7.4 4.70.0 1.50.0 0.20.0 0.00.1 0.30.0 0.31.8 9.3

Country data

High-income group


Iceland







Population (millions) 1,110 Land area (1,000 sq. km) 2,973 GDP ($ billions) 911.8

820 768 64929.0 28.8 30.4

2.5 2.7 3.11.7 1.8 2.0

61 55 4532.9 39.2 24.0

1,290 1,391 ..489 619 544

22.8 16.8 23.9–0.4 –0.1 0.65.3 6.0 9.9

1,602313

18,664247

43.9

4.5 4.6 3.8491 453 48629.4 31.5 41.7480 432 39182.1 79.9 72.414.3 16.7 24.8

0.6 0.5 0.51.2 1.1 0.9

96.9 97.0 55.768 81 74

8 8 8

1,152 1,230 3,077

51.2 51.8 18.986 90 8986 84 7583 81 6995 94 8833 37 3822 27 2859 63 60

19.319.2

76 83 112

33.7 32.1 30.59.0 8.9 9.03.9 3.5 3.44.3 4.5 9.41.2 0.9 1.30.5 0.5 0.61.3 1.1 1.00.7 0.8 0.7

20.6 18.8 11.9

Country data

South Asia

group

Low-income group

India







1,420 1,856 2,03849.2 42.4 47.3

4.4 3.5 3.01.4 1.1 1.1

26 51 4212.4 .. 26.3

1,497 .. 2,057498 547 531

48.8 28.4 26.51.8 0.1 0.1

14.3 12.1 12.82,271

46429,375

38690.0

3.9 3.3 3.6814 1,182 1,216

28.5 15.5 12.8509 1,492 1,50286.4 81.9 78.6

8.4 15.6 16.8

0.6 0.9 0.81.7 3.3 3.4

76.8 97.7 71.196 73 69

.. 14 21

12,867 5,022 5,769

2.9 11.1 7.391 74 7577 79 8169 70 7187 92 9355 51 5540 36 3973 72 76

8.010.4

34 29 36

27.6 47.2 41.410.4 10.3 10.40.9 2.1 2.5

11.4 7.1 11.13.1 0.9 1.10.0 0.0 0.00.7 1.2 1.21.2 1.3 1.11.7 28.5 18.9

Country data

East Asia & Pacific

group



Indonesia







Country data

Middle East &

N. Africa group



2,930 2,507 2,03867.4 57.5 47.32.7 2.6 3.01.6 2.0 1.1

29 22 4247.3 33.8 26.3762 1,050 2,057138 672 531

6.8 2.4 26.50.0 –0.4 0.16.5 3.4 12.8

65675

8,0001

7.9

4.0 4.7 3.62,352 1,270 1,216

0.5 1.1 12.82,117 1,358 1,50291.1 92.5 78.68.9 7.4 16.8

0.7 0.7 0.86.4 3.9 3.4

98.5 101.1 71.155 77 6924 34 21

1,860 757 5,769

56.7 105.0 7.391 89 7594 89 8184 81 7199 96 9383 76 5578 58 3986 92 76

24.011.3

34 42 36

40.7 .. 41.411.0 10.9 10.44.4 4.6 2.5

54.2 40.0 11.10.5 0.3 1.10.0 0.1 0.01.3 1.1 1.20.8 0.6 1.1

–22.7 .. 18.9

Iran, Islamic Rep.







Population (millions) .. Land area (1,000 sq. km) 437 GDP ($ billions) 12.6

Country data

Middle East &

N. Africa group


.. 2,507 2,038

.. 57.5 47.3

.. 2.6 3.0

.. 2.0 1.1

23 22 4258.6 33.8 26.3

.. 1,050 2,057

.. 672 531

1.9 2.4 26.5–0.1 –0.4 0.10.0 3.4 12.8

49840

..0

1.7

.. 4.7 3.6

.. 1,270 1,2160.1 1.1 12.8

.. 1,358 1,50298.5 92.5 78.6

1.5 7.4 16.8

.. 0.7 0.8

.. 3.9 3.4

.. 101.1 71.1126 77 69

.. 34 21

.. 757 5,769

121.3 105.0 7.392 89 75

.. 89 81

.. 81 71

.. 96 93

.. 76 55

.. 58 39

.. 92 76

..

..46 42 36

.. .. 41.4

.. 10.9 10.4

.. 4.6 2.5

.. 40.0 11.1

.. 0.3 1.1

.. 0.1 0.0

.. 1.1 1.2

.. 0.6 1.1

.. .. 18.9

Iraq







44,830 36,60860.8 77.6

1.6 1.11.2 0.7

61 36.. 11.0

4,619 1,188135 325

9.7 29.5–2.8 –0.11.1 13.047115

9501

0.7

10.3 6.03,676 5,498

1.6 3.26,234 9,760

92.7 62.52.5 11.5

0.3 0.410.4 13.238.2 22.4

17 27382 467

11,781 9,579

2.3 10.20 42.. 99.. 98

100 100.. 100.. .... 100

..

..5 7

37.7 19.910.7 13.05.3 4.73.4 1.50.4 0.20.0 0.00.2 0.30.0 0.3

28.2 9.3

Country data

High-income group


Ireland







40,600 36,60851.9 77.61.0 1.11.0 0.7

46 36.. 11.0.. 1,188

489 325

5.3 29.50.0 –0.1

.. 13.0

..

..

..

..0.0

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.4

.. 13.2

.. 22.4

.. 27

.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.913.5 13.0

.. 4.70.0 1.50.0 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group


Isle of Man








Country data

High-income group

20,170 36,60891.6 77.6

2.7 1.12.6 0.7

24 3640.2 11.0

21,977 1,188183 325

7.9 29.5–0.7 –0.121.3 13.0649

792,317

00.9

8.0 6.02,816 5,498

0.1 3.26,759 9,76099.9 62.5

0.1 11.5

0.5 0.410.5 13.2

114.9 22.431 27

239 467

116 9,579

256.3 10.262 42

100 99100 98100 100

.. 100

.. ..100 100

..

..5 7

.. 19.916.7 13.06.7 4.70.3 1.50.0 0.20.0 0.00.4 0.30.4 0.3

.. 9.3

Israel







31,990 36,60867.8 77.60.3 1.10.2 0.7

50 3625.8 11.0

1,569 1,188245 325

33.9 29.5–1.2 –0.111.0 13.0610119

5,59919

4.4

8.8 6.03,160 5,498

2.3 3.25,669 9,76083.5 62.511.4 11.5

0.3 0.47.7 13.2

15.4 22.428 27

595 467

3,114 9,579

24.3 10.245 42

.. 99

.. 98100 100

.. 100

.. ..

.. 100

..

..4 7

19.3 19.913.4 13.0

4.5 4.70.3 1.50.0 0.20.0 0.00.2 0.30.2 0.39.7 9.3


Country data

High-income group

Italy







3,560 4,785 2,03853.4 77.7 47.3

1.2 2.1 3.00.7 1.5 1.1

47 36 428.8 12.5 26.3

309 1,003 2,057715 241 531

31.3 45.4 26.50.1 0.5 0.1

16.2 19.7 12.8333

613,308

2094.9

5.0 7.0 3.61,445 1,198 1,216

12.2 14.8 12.82,474 1,715 1,50296.6 37.0 78.6

2.0 57.6 16.8

0.6 0.3 0.84.0 2.5 3.4

33.0 29.6 71.138 37 69

135 115 21

3,541 24,471 5,769

4.4 2.0 7.349 71 7593 91 8188 73 7198 96 9380 77 5569 49 3991 86 76

3.0..

31 26 36

.. 22.4 41.47.6 12.1 10.44.5 4.4 2.50.0 9.1 11.13.5 3.0 1.10.0 0.0 0.00.8 0.4 1.20.2 0.4 1.1

.. 1.8 18.9


Country data


group


Jamaica








Country data

High-income group

38,630 36,60866.0 77.6

0.5 1.10.2 0.7

13 3636.3 11.0

3,908 1,1881,002 325

68.2 29.50.0 –0.1

14.3 13.0763190

5,56512

41.4

7.3 6.04,152 5,498

1.2 3.28,233 9,760

58.9 62.57.1 11.5

0.3 0.49.8 13.2

17.4 22.431 27

441 467

3,365 9,579

20.6 10.262 42

100 99100 98100 100100 100100 ..100 100

..

..4 7

27.3 19.913.9 13.0

3.1 4.70.0 1.50.0 0.20.0 0.00.2 0.30.5 0.3

15.8 9.3

Japan







2,650 2,507 2,03882.6 57.5 47.34.3 2.6 3.03.5 2.0 1.1

11 22 4229.6 33.8 26.3

7,883 1,050 2,057521 672 531

0.9 2.4 26.50.0 –0.4 0.1

11.0 3.4 12.8490

432,100

00.3

3.3 4.7 3.61,311 1,270 1,216

0.0 1.1 12.81,676 1,358 1,50299.4 92.5 78.6

0.6 7.4 16.8

0.8 0.7 0.83.1 3.9 3.4

61.6 101.1 71.152 77 6978 34 21

129 757 5,769

144.3 105.0 7.375 89 7597 89 8191 81 7199 96 9393 76 5587 58 3994 92 76

6.018.0

25 42 36

13.8 .. 41.410.2 10.9 10.4

5.6 4.6 2.50.4 40.0 11.10.0 0.3 1.10.0 0.1 0.01.0 1.1 1.20.7 0.6 1.17.1 .. 18.9

Country data

Middle East &

N. Africa group



Jordan







3,870 4,815 5,91357.6 63.8 75.0–0.3 0.2 1.4–0.4 0.1 0.9

77 28 3015.7 10.9 9.0

64 400 67229 129 112

1.2 38.3 38.80.2 –0.0 0.22.9 7.0 10.9

64255

6,00016

5.4

2.5 3.3 4.63,462 2,826 2,248

0.1 2.2 6.53,206 3,633 3,131

88.4 66.1 61.911.6 17.5 27.8

1.7 0.8 0.613.3 7.1 5.6

–30.5 –30.2 –7.719 29 3393 152 140

4,978 11,473 17,199

46.4 7.5 4.082 59 5486 92 9373 80 7897 99 9872 85 8152 70 6087 93 89

3.013.4

29 26 26

34.5 22.6 22.313.1 10.3 11.44.4 4.1 4.4

52.4 18.4 14.44.2 1.1 2.00.0 0.0 0.02.1 1.1 0.70.3 0.5 0.4

–33.2 –4.9 –2.2

Country data

Europe & Central

Asiagroup



Kazakhstan








580 829 64921.0 35.8 30.4

3.7 4.1 3.12.8 2.6 2.0

47 44 451.8 3.5 24.0178 .. ..536 351 544

6.2 26.5 23.90.3 0.7 0.6

12.6 11.3 9.91,510

1726,506

1039.9

2.8 2.7 3.8484 681 48674.6 56.3 41.7138 542 39129.5 76.1 72.450.4 20.1 24.8

0.2 0.6 0.50.3 0.9 0.9

81.7 46.3 55.738 60 74

9 .. 8

581 5,093 3,077

7.6 3.1 18.964 87 8961 56 7546 42 6983 80 8843 37 3841 28 2846 53 60

18.017.1121 157 112

10.1 19.4 30.59.6 10.7 9.06.3 3.8 3.40.0 18.7 9.40.1 2.3 1.31.0 0.4 0.60.4 0.6 1.00.1 0.4 0.75.2 –10.0 11.9

Country data


Low-income group

Kenya







1,240 1,856 2,03848.2 42.4 47.3

4.0 3.5 3.02.0 1.1 1.1

46 51 42.. .. 26.3.. .. 2,057

2,604 547 531

2.5 28.4 26.50.0 0.1 0.1

138.9 12.1 12.8511360

..1.6

.. 3.3 3.6

.. 1,182 1,216

.. 15.5 12.8

.. 1,492 1,502

.. 81.9 78.6

.. 15.6 16.8

0.09 0.90 0.820.3 3.3 3.4

33.3 97.7 71.1.. 73 69.. 14 21

.. 5,022 5,769

.. 11.1 7.3

.. 74 7565 79 8153 70 7177 92 9340 51 5522 36 3959 72 76

..

..64 29 36

.. 47.2 41.45.2 10.3 10.4

.. 2.1 2.50.0 7.1 11.10.0 0.9 1.1

.. 0.0 0.00.2 1.2 1.2

.. 1.3 1.1

.. 28.5 18.9

Country data

East Asia & Pacific

group



Kiribati








Country data

East Asia & Pacific

group

Low-income group

.. 1,856 64962.0 42.4 30.4

1.4 3.5 3.11.0 1.1 2.0

25 51 4550.3 .. 24.0

.. .. ..324 547 544

51.4 28.4 23.91.9 0.1 0.62.6 12.1 9.947444

2,8983

0.7

.. 3.3 3.8898 1,182 4864.9 15.5 41.7817 1,492 391

42.7 81.9 72.457.3 15.6 24.8

.. 0.9 0.53.4 3.3 0.9

–67.7 97.7 55.773 73 74

.. 14 8

2,837 5,022 3,077

13.5 11.1 18.955 74 89

100 79 75100 70 69100 92 8859 51 3860 36 2858 72 60

12.0..

55 29 112

.. 47.2 30.5

.. 10.3 9.0

.. 2.1 3.4

.. 7.1 9.4

.. 0.9 1.3

.. 0.0 0.6

.. 1.2 1.0

.. 1.3 0.7

.. 28.5 11.9

Korea, Dem. Rep.








Country data

High-income group

17,690 36,60881.0 77.61.3 1.10.8 0.7

19 3647.6 11.0

4,448 1,188571 325

63.5 29.50.1 –0.13.6 13.051254

2,8980

1.8

4.8 6.04,426 5,498

1.0 3.27,779 9,76060.6 62.5

0.9 11.5

0.5 0.49.7 13.2

93.0 22.437 27

230 467

1,344 9,579

28.6 10.248 4292 9971 9897 100

.. 100

.. ..

.. 100

..

..5 7

30.5 19.913.3 13.0

4.0 4.70.1 1.50.0 0.20.0 0.00.4 0.30.6 0.3

20.0 9.3

Korea, Rep.







30,630 36,60898.3 77.6

1.3 1.11.3 0.7

9 3672.2 11.0

31,893 1,188287 325

0.3 29.5–4.7 –0.10.0 13.0

38123

234..

0.1

3.9 6.011,100 5,498

0.0 3.215,345 9,760

100.0 62.50.0 11.5

1.0 0.440.4 13.2

128.8 22.4101 27349 467

.. 9,579

.. 10.252 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..11 7

.. 19.9

.. 13.04.2 4.7

.. 1.5

.. 0.20.0 0.0

.. 0.31.4 0.3

.. 9.3

Country data

High-income group


Kuwait








Country data

Europe & Central

Asiagroup

Low-income group

500 4,815 64936.0 63.8 30.4

0.7 0.2 3.11.0 0.1 2.0

56 28 4573.8 10.9 24.0223 400 ..257 129 544

4.5 38.3 23.9–0.3 –0.0 0.63.7 7.0 9.9

26522

4,50014

1.2

3.2 3.3 3.8544 2,826 4860.1 2.2 41.7

1,842 3,633 39113.1 66.1 72.486.9 17.5 24.8

0.6 0.8 0.51.1 7.1 0.9

–54.5 –30.2 55.724 29 7439 152 8

9,041 11,473 3,077

21.7 7.5 18.994 59 8977 92 7566 80 6998 99 8859 85 3851 70 2875 93 60

4.017.6

41 26 112

4.5 22.6 30.58.5 10.3 9.04.4 4.1 3.41.1 18.4 9.40.0 1.1 1.30.0 0.0 0.61.3 1.1 1.00.3 0.5 0.7

–2.3 –4.9 11.9

Kyrgyz Republic







500 1,856 64921.0 42.4 30.4

4.1 3.5 3.12.2 1.1 2.0

8 51 4516.5 .. 24.0

.. .. ..450 547 544

69.9 28.4 23.90.5 0.1 0.6

16.2 12.1 9.991977

8,28621

5.4

.. 3.3 3.8

.. 1,182 486

.. 15.5 41.7

.. 1,492 391

.. 81.9 72.4

.. 15.6 24.8

0.1 0.9 0.50.2 3.3 0.9

454.0 97.7 55.747 73 74

.. 14 8

33,616 5,022 3,077

1.6 11.1 18.990 74 8951 79 7543 70 6979 92 8830 51 3820 36 2867 72 60

1.06.275 29 112

21.8 47.2 30.59.7 10.3 9.01.1 2.1 3.40.0 7.1 9.40.0 0.9 1.30.0 0.0 0.60.4 1.2 1.00.8 1.3 0.7

12.1 28.5 11.9

Country data

East Asia & Pacific

group

Low-income group


Lao PDR








Country data

Europe & Central

Asiagroup


8,100 4,815 5,91367.9 63.8 75.0–1.1 0.2 1.4–1.0 0.1 0.9

28 28 302.1 10.9 9.0

724 400 67268 129 112

47.2 38.3 38.8–0.4 –0.0 0.215.6 7.0 10.9393

231,153

00.0

6.4 3.3 4.62,050 2,826 2,24830.2 2.2 6.5

2,702 3,633 3,13130.4 66.1 61.967.8 17.5 27.8

0.3 0.8 0.63.1 7.1 5.6

–51.1 –30.2 –7.715 29 33

323 152 140

7,259 11,473 17,199

1.8 7.5 4.013 59 5499 92 9396 80 78

100 99 9878 85 8171 70 6082 93 89

..

..9 26 26

17.5 22.6 22.318.2 10.3 11.4

5.6 4.1 4.40.0 18.4 14.40.0 1.1 2.00.7 0.0 0.00.3 1.1 0.70.0 0.5 0.43.8 –4.9 –2.2

Latvia







5,580 2,507 5,91386.7 57.5 75.02.2 2.6 1.41.9 2.0 0.9

38 22 3031.3 33.8 9.0

1,358 1,050 672289 672 112

13.3 2.4 38.8–0.8 –0.4 0.20.7 3.4 10.9

44738

3,0000

0.2

6.9 4.7 4.61,391 1,270 2,248

2.3 1.1 6.52,242 1,358 3,131

89.7 92.5 61.910.3 7.4 27.8

0.4 0.7 0.64.1 3.9 5.6

78.7 101.1 –7.740 77 33

.. 34 140

1,197 757 17,199

28.8 105.0 4.067 89 54

100 89 93100 81 78100 96 98

98 76 8187 58 60

100 92 89

3.519.3

30 42 26

–4.5 .. 22.311.9 10.9 11.42.5 4.6 4.40.0 40.0 14.40.0 0.3 2.00.0 0.1 0.00.6 1.1 0.70.9 0.6 0.4

–15.4 .. –2.2

Country data

Middle East &

N. Africa group



Lebanon







980 829 2,03819.0 35.8 47.32.0 4.1 3.01.4 2.6 1.1

77 44 420.9 3.5 26.3

.. .. 2,057488 351 531

0.3 26.5 26.5–3.2 0.7 0.10.2 11.3 12.8370

111,591

10.3

.. 2.7 3.6

.. 681 1,216

.. 56.3 12.8

.. 542 1,502

.. 76.1 78.6

.. 20.1 16.8

.. 0.6 0.8

.. 0.9 3.4

.. 46.3 71.142 60 69

.. .. 21

2,625 5,093 5,769

1.0 3.1 7.320 87 7579 56 8176 42 7192 80 9337 37 5532 28 3961 53 76

18.7..

132 157 36

21.8 19.4 41.47.1 10.7 10.49.3 3.8 2.50.0 18.7 11.10.0 2.3 1.11.4 0.4 0.00.0 0.6 1.20.2 0.4 1.1

22.4 –10.0 18.9

Country data




Lesotho







Population (millions) 3.6 Land area (1,000 sq. km) 96 GDP ($ billions) 631

Country data


Low-income group

130 829 64958.8 35.8 30.4

4.9 4.1 3.13.2 2.6 2.0

27 44 450.5 3.5 24.0

.. .. ..378 351 544

32.7 26.5 23.91.7 0.7 0.6

15.8 11.3 9.975960

2,200462.9

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.5 0.6 0.50.1 0.9 0.90.8 46.3 55.745 60 74

.. .. 8

58,109 5,093 3,077

0.1 3.1 18.955 87 8961 56 7552 42 6972 80 8827 37 387 28 28

49 53 60

39.0..

235 157 112

.. 19.4 30.58.7 10.7 9.0

.. 3.8 3.40.0 18.7 9.40.1 2.3 1.36.0 0.4 0.60.6 0.6 1.00.5 0.4 0.7

.. –10.0 11.9

Liberia








Country data

Middle East &

N. Africa group


7,290 2,507 5,91385.1 57.5 75.0

2.5 2.6 1.42.0 2.0 0.9

9 22 3021.9 33.8 9.0671 1,050 672

51 672 112

0.1 2.4 38.80.0 –0.4 0.20.1 3.4 10.941331

1,8251

1.7

3.4 4.7 4.63,218 1,270 2,248

0.8 1.1 6.53,299 1,358 3,131100.0 92.5 61.9

0.0 7.4 27.8

1.0 0.7 0.610.3 3.9 5.658.5 101.1 –7.7

94 77 33232 34 140

101 757 17,199

711.3 105.0 4.083 89 5471 89 9368 81 7872 96 9897 76 8196 58 6097 92 89

4.316.9

18 42 26

.. .. 22.312.2 10.9 11.4

.. 4.6 4.481.3 40.0 14.4

0.0 0.3 2.00.0 0.1 0.00.8 1.1 0.7

.. 0.6 0.4

.. .. –2.2

Libya







.. 36,60814.6 77.6

.. 1.1

.. 0.7

44 36.. 11.0.. 1,188

742 325

43.8 29.5–1.0 –0.138.8 13.0297

61,410

00.0

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.4

.. 13.2

.. 22.434 27

.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..3 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group


Liechtenstein








Country data

Europe & Central

Asiagroup


7,930 4,815 5,91366.6 63.8 75.0–0.6 0.2 1.4–0.5 0.1 0.9

45 28 300.4 10.9 9.0

1,198 400 67260 129 112

33.5 38.3 38.8–0.5 –0.0 0.29.5 7.0 10.9

29820

1,796..

0.0

5.6 3.3 4.62,515 2,826 2,248

8.3 2.2 6.53,104 3,633 3,131

23.7 66.1 61.93.1 17.5 27.8

0.3 0.8 0.63.9 7.1 5.6

–45.4 –30.2 –7.719 29 33

426 152 140

4,569 11,473 17,199

1.7 7.5 4.07 59 54.. 92 93.. 80 78.. 99 98.. 85 81.. 70 60.. 93 89

..

..8 26 26

14.5 22.6 22.313.0 10.3 11.4

5.1 4.1 4.40.3 18.4 14.40.0 1.1 2.00.1 0.0 0.00.4 1.1 0.70.2 0.5 0.45.6 –4.9 –2.2

Lithuania







71,240 36,60882.7 77.61.3 1.11.2 0.7

50 36.. 11.0

4,907 1,188131 325

33.6 29.5–0.1 –0.117.0 13.0350

71,246

00.0

6.7 6.010,457 5,498

1.3 3.215,971 9,760

92.7 62.53.0 11.5

0.4 0.424.9 13.213.9 22.4

15 27647 467

2,190 9,579

.. 10.2

.. 42100 99100 98100 100

.. 100

.. ..

.. 100

..

..4 7

34.7 19.919.4 13.0

3.7 4.70.0 1.50.0 0.20.0 0.00.2 0.30.0 0.3

24.6 9.3

Country data

High-income group


Luxembourg








Country data

High-income group

.. 36,608100.0 77.6

1.6 1.11.6 0.7

.. 36

.. 11.0

.. 1,188

.. 325

.. 29.5

.. –0.1

.. 13.060

..

..

..

..

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

0.1 0.44.7 13.2

115.0 22.4.. 27

134 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.912.4 13.0

.. 4.70.0 1.50.0 0.2

.. 0.00.2 0.3

.. 0.3

.. 9.3

Macao, China







3,070 4,815 2,03869.6 63.8 47.3

1.6 0.2 3.00.4 0.1 1.1

49 28 429.0 10.9 26.3

225 400 2,057112 129 531

35.6 38.3 26.50.0 –0.0 0.17.9 7.0 12.8

38034

3,5000

0.2

5.5 3.3 3.61,346 2,826 1,216

5.6 2.2 12.83,417 3,633 1,50278.5 66.1 78.621.5 17.5 16.8

0.7 0.8 0.85.1 7.1 3.4

–33.0 –30.2 71.120 29 69

150 152 21

2,655 11,473 5,769

.. 7.5 7.3

.. 59 75

.. 92 81

.. 80 71

.. 99 93

.. 85 55

.. 70 39

.. 93 76

..

..17 26 36

22.1 22.6 41.410.8 10.3 10.44.9 4.1 2.50.0 18.4 11.10.0 1.1 1.10.2 0.0 0.01.4 1.1 1.20.1 0.5 1.1

14.5 –4.9 18.9

Country data

Europe & Central

Asiagroup



Macedonia, FYR








Country data


Low-income group

280 829 64927.1 35.8 30.43.8 4.1 3.12.9 2.6 2.0

70 44 4530.6 3.5 24.0

54 .. ..463 351 544

22.1 26.5 23.90.4 0.7 0.63.1 11.3 9.9

427262

9,50528031.4

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.2 0.6 0.50.2 0.9 0.9

189.9 46.3 55.735 60 74

.. .. 8

18,077 5,093 3,077

4.4 3.1 18.996 87 8946 56 7535 42 6977 80 8832 37 3826 28 2848 53 60

9.012.8115 157 112

16.3 19.4 30.57.6 10.7 9.02.7 3.8 3.40.0 18.7 9.40.0 2.3 1.30.0 0.4 0.60.3 0.6 1.00.2 0.4 0.7

10.9 –10.0 11.9

Madagascar







230 829 64917.7 35.8 30.44.9 4.1 3.12.3 2.6 2.0

49 44 452.2 3.5 24.0

353 .. ..421 351 544

36.2 26.5 23.90.9 0.7 0.6

20.6 11.3 9.9865141

3,76514

3.9

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.1 0.6 0.50.08 0.92 0.9073.8 46.3 55.7

34 60 74.. .. 8

1,217 5,093 3,077

6.3 3.1 18.980 87 8973 56 7568 42 6998 80 8861 37 3861 28 2862 53 60

27.017.6120 157 112

15.7 19.4 30.57.3 10.7 9.04.9 3.8 3.40.0 18.7 9.40.0 2.3 1.30.6 0.4 0.60.2 0.6 1.00.2 0.4 0.7

12.2 –10.0 11.9

Country data


Low-income group


Malawi








Country data

East Asia & Pacific

group


5,620 1,856 5,91368.2 42.4 75.0

4.3 3.5 1.42.3 1.1 0.9

24 51 304.8 .. 9.0

8,432 .. 672466 547 112

63.6 28.4 38.80.5 0.1 0.2

30.7 12.1 10.91,083

22515,500

68614.8

4.9 3.3 4.62,389 1,182 2,248

4.5 15.5 6.53,262 1,492 3,131

93.4 81.9 61.96.6 15.6 27.8

0.6 0.9 0.67.0 3.3 5.6

221.1 97.7 –7.725 73 33

225 14 140

22,609 5,022 17,199

1.6 11.1 4.062 74 5499 79 9396 70 78

100 92 9894 51 8193 36 6095 72 89

..

..12 29 26

32.7 47.2 22.312.1 10.3 11.45.8 2.1 4.4

22.1 7.1 14.40.0 0.9 2.00.0 0.0 0.00.8 1.2 0.70.1 1.3 0.43.3 28.5 –2.2

Malaysia

Green08 0424.indd 134 4/24/08 1:50:46 PM







3,010 768 2,03830.1 28.8 47.33.0 2.7 3.02.1 1.8 1.1

47 55 42.. 39.2 26.3

220 1,391 2,0575,197 619 531

3.3 16.8 26.50.0 –0.1 0.1

.. 6.0 12.8181

14583

..1.8

.. 4.6 3.6

.. 453 1,216

.. 31.5 12.8

.. 432 1,502

.. 79.9 78.6

.. 16.7 16.8

0.6 0.5 0.82.5 1.1 3.4

371.4 97.0 71.135 81 69

6 8 21

.. 1,230 5,769

.. 51.8 7.3

.. 90 7583 84 8176 81 7198 94 9359 37 5542 27 39

100 63 76

22.07.930 83 36

37.7 32.1 41.411.5 8.9 10.46.0 3.5 2.50.0 4.5 11.10.0 0.9 1.10.0 0.5 0.00.8 1.1 1.20.3 0.8 1.1

31.5 18.8 18.9

Country data

South Asia

group



Maldives

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Country data


Low-income group

460 829 64931.1 35.8 30.44.6 4.1 3.12.8 2.6 2.0

32 44 454.9 3.5 24.0

.. .. ..168 351 544

10.3 26.5 23.90.7 0.7 0.63.8 11.3 9.9

75821

1,7416

1.6

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.05 0.57 0.530.05 0.92 0.9033.9 46.3 55.7171 60 74

.. .. 8

5,167 5,093 3,077

10.9 3.1 18.990 87 8950 56 7536 42 6978 80 8846 37 3839 28 2859 53 60

10.018.6217 157 112

13.8 19.4 30.58.8 10.7 9.03.6 3.8 3.40.0 18.7 9.40.0 2.3 1.30.0 0.4 0.60.1 0.6 1.01.6 0.4 0.77.0 –10.0 11.9

Mali

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15,310 36,60895.5 77.6

1.1 1.10.8 0.7

31 3618.2 11.0773 1,188211 325

.. 29.5

.. –0.115.6 13.039120

9143

0.1

8.7 6.02,352 5,498

0.0 3.24,917 9,760100.0 62.5

0.0 11.5

0.3 0.46.1 13.29.9 22.4

.. 27523 467

248 9,579

50.5 10.220 42

100 99100 98100 100

.. 100

.. ..100 100

..

..6 7

.. 19.913.4 13.04.3 4.70.0 1.50.0 0.2

.. 0.00.3 0.3

.. 0.3

.. 9.3

Country data

High-income group


Malta

Green08 0424.indd 137 4/24/08 1:50:47 PM







2,980 1,856 2,03866.9 42.4 47.3

2.4 3.5 3.02.2 1.1 1.1

78 51 42.. .. 26.35 .. 2,057

1,053 547 531

.. 28.4 26.5

.. 0.1 0.1420.6 12.1 12.8

6115

100..

1.6

.. 3.3 3.6

.. 1,182 1,216

.. 15.5 12.8

.. 1,492 1,502

.. 81.9 78.6

.. 15.6 16.8

.. 0.9 0.8

.. 3.3 3.4

.. 97.7 71.1

.. 73 69

.. 14 21

.. 5,022 5,769

.. 11.1 7.3

.. 74 7587 79 8196 70 7182 92 9382 51 5558 36 3993 72 76

..

..56 29 36

.. 47.2 41.48.4 10.3 10.46.6 2.1 2.50.0 7.1 11.10.0 0.9 1.1

.. 0.0 0.00.0 1.2 1.2

.. 1.3 1.1

.. 28.5 18.9

Country data

East Asia & Pacific

group



Marshall Islands

Green08 0424.indd 138 4/24/08 1:50:47 PM







Country data


Low-income group


760 829 64940.6 35.8 30.4

2.9 4.1 3.12.8 2.6 2.0

39 44 459.8 3.5 24.0

.. .. ..353 351 544

0.3 26.5 23.92.9 0.7 0.60.2 11.3 9.961544

1,100..

1.4

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.5 0.6 0.50.9 0.9 0.9

–3.1 46.3 55.7104 60 74

.. .. 8

135 5,093 3,077

425.0 3.1 18.988 87 8953 56 7544 42 6959 80 8834 37 38

8 28 2849 53 60

10.018.3125 157 112

27.5 19.4 30.58.7 10.7 9.02.4 3.8 3.40.0 18.7 9.4

24.2 2.3 1.30.4 0.4 0.60.8 0.6 1.02.8 0.4 0.7

–7.0 –10.0 11.9

Mauritania

Green08 0424.indd 139 4/24/08 1:50:47 PM








Country data



5,430 829 5,91342.5 35.8 75.00.9 4.1 1.41.1 2.6 0.9

56 44 3020.8 3.5 9.0

2,575 .. 672716 351 112

18.2 26.5 38.80.4 0.7 0.23.3 11.3 10.915165

750884.2

.. 2.7 4.6

.. 681 2,248

.. 56.3 6.5

.. 542 3,131

.. 76.1 61.9

.. 20.1 27.8

0.3 0.6 0.62.6 0.9 5.6

118.5 46.3 –7.717 60 3396 .. 140

2,252 5,093 17,199

21.8 3.1 4.0.. 87 54

100 56 93100 42 78100 80 9894 37 8194 28 6095 53 89

..

..14 157 26

18.9 19.4 22.311.5 10.7 11.43.8 3.8 4.40.0 18.7 14.40.0 2.3 2.00.0 0.4 0.00.4 0.6 0.7

.. 0.4 0.410.8 –10.0 –2.2

Mauritius

Green08 0424.indd 140 4/24/08 1:50:47 PM







Country data



.. 829 5,913

.. 35.8 75.0

.. 4.1 1.4

.. 2.6 0.9

53 44 30.. 3.5 9.0.. .. 672.. 351 112

13.4 26.5 38.81.2 0.7 0.2

.. 11.3 10.9

..

..

..

..0.3

.. 2.7 4.6

.. 681 2,248

.. 56.3 6.5

.. 542 3,131

.. 76.1 61.9

.. 20.1 27.8

.. 0.6 0.6

.. 0.9 5.6

.. 46.3 –7.7

.. 60 33

.. .. 140

.. 5,093 17,199

.. 3.1 4.0

.. 87 54

.. 56 93

.. 42 78

.. 80 98

.. 37 81

.. 28 60

.. 53 89

..

..

.. 157 26

.. 19.4 22.3

.. 10.7 11.4

.. 3.8 4.4

.. 18.7 14.4

.. 2.3 2.0

.. 0.4 0.0

.. 0.6 0.7

.. 0.4 0.4

.. –10.0 –2.2


Mayotte

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Country data


group


7,830 4,785 5,91376.3 77.7 75.0

1.7 2.1 1.41.4 1.5 0.9

55 36 3022.8 12.5 9.0692 1,003 672

99 241 112

33.0 45.4 38.80.5 0.5 0.25.1 19.7 10.9

1,570579

26,071261

75.8

6.6 7.0 4.61,712 1,198 2,248

4.7 14.8 6.51,899 1,715 3,131

79.4 37.0 61.911.8 57.6 27.8

0.4 0.3 0.64.3 2.5 5.65.9 29.6 –7.740 37 33

137 115 140

3,967 24,471 17,199

19.1 2.0 4.077 71 5497 91 9387 73 78

100 96 9879 77 8141 49 6091 86 89

..9.735 26 26

22.2 22.4 22.312.4 12.1 11.45.3 4.4 4.4

10.6 9.1 14.40.6 3.0 2.00.0 0.0 0.00.4 0.4 0.70.4 0.4 0.43.1 1.8 –2.2

Mexico

Green08 0424.indd 142 4/24/08 1:50:48 PM







Country data

East Asia & Pacific

group


2,390 1,856 2,03822.4 42.4 47.3

0.0 3.5 3.00.9 1.1 1.1

44 51 42.. .. 26.3.. .. 2,057

2,851 547 531

90.0 28.4 26.50.0 0.1 0.17.3 12.1 12.8

10531

1,1945

3.0

.. 3.3 3.6

.. 1,182 1,216

.. 15.5 12.8

.. 1,492 1,502

.. 81.9 78.6

.. 15.6 16.8

.. 0.9 0.8

.. 3.3 3.4

.. 97.7 71.1

.. 73 69

.. 14 21

.. 5,022 5,769

.. 11.1 7.3

.. 74 7594 79 8194 70 7195 92 9328 51 5514 36 3961 72 76

..

..41 29 36

.. 47.2 41.49.7 10.3 10.4

.. 2.1 2.50.0 7.1 11.10.0 0.9 1.1

.. 0.0 0.00.0 1.2 1.2

.. 1.3 1.1

.. 28.5 18.9


Micronesia, Fed. Sts.

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1,080 4,815 2,03847.0 63.8 47.3–0.8 0.2 3.0–0.8 0.1 1.1

77 28 4210.7 10.9 26.3149 400 2,057112 129 531

10.0 38.3 26.5–0.2 –0.0 0.11.4 7.0 12.8

25328

1,7520

0.0

2.4 3.3 3.6917 2,826 1,2162.1 2.2 12.8

1,428 3,633 1,50298.4 66.1 78.6

1.6 17.5 16.8

1.0 0.8 0.82.0 7.1 3.4

–67.8 –30.2 71.138 29 6970 152 21

258 11,473 5,769

231.0 7.5 7.333 59 7592 92 8188 80 7197 99 9368 85 5552 70 3986 93 76

7.07.419 26 36

20.3 22.6 41.48.1 10.3 10.43.6 4.1 2.50.1 18.4 11.10.0 1.1 1.10.0 0.0 0.01.7 1.1 1.20.7 0.5 1.1

13.3 –4.9 18.9

Country data

Europe & Central

Asia group


Moldova

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.. 36,608100.0 77.6

.. 1.1

.. 0.7

.. 36

.. 11.0

.. 1,188

.. 325

0.0 29.5.. –0.1

51.3 13.0169..0..

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.4

.. 13.2

.. 22.4

.. 27

.. 467

.. 9,579

.. 10.2

.. 42100 99

.. 98100 100100 100

.. ..100 100

..

..4 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Population (thousands) 33 Land area (sq. km) 2.0 GDP ($ billions) ..

Country data

High-income group

Monaco

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1,000 1,856 64956.9 42.4 30.4

1.3 3.5 3.11.3 1.1 2.0

83 51 457.0 .. 24.037 .. ..95 547 544

6.5 28.4 23.90.8 0.1 0.6

13.9 12.1 9.952738

2,8230

4.4

.. 3.3 3.8

.. 1,182 486

.. 15.5 41.7

.. 1,492 391

.. 81.9 72.4

.. 15.6 24.8

1.4 0.9 0.53.4 3.3 0.9

–14.4 97.7 55.764 73 7428 14 8

13,626 5,022 3,077

1.3 11.1 18.952 74 8962 79 7530 70 6987 92 8859 51 3837 36 2875 72 60

2.38.043 29 112

45.3 47.2 30.57.9 10.3 9.05.1 2.1 3.42.8 7.1 9.4

26.4 0.9 1.30.0 0.0 0.62.5 1.2 1.01.1 1.3 0.79.7 28.5 11.9

Country data

East Asia & Pacific

group

Low-income group

Mongolia

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4,130 4,815 5,913.. 63.8 75.0.. 0.2 1.4

0.1 0.1 0.9

.. 28 30

.. 10.9 9.0

.. 400 672

.. 129 112

.. 38.3 38.8

.. –0.0 0.2

.. 7.0 10.9

..

..

..

..

..

.. 3.3 4.6

.. 2,826 2,248

.. 2.2 6.5

.. 3,633 3,131

.. 66.1 61.9

.. 17.5 27.8

.. 0.8 0.6

.. 7.1 5.6

.. –30.2 –7.7

.. 29 33

.. 152 140

.. 11,473 17,199

.. 7.5 4.0

.. 59 54

.. 92 93

.. 80 78

.. 99 98

.. 85 81

.. 70 60

.. 93 89

..

..10 26 26

.. 22.6 22.3

.. 10.3 11.4

.. 4.1 4.4

.. 18.4 14.4

.. 1.1 2.0

.. 0.0 0.0

.. 1.1 0.7

.. 0.5 0.4

.. –4.9 –2.2

Country data

Europe & Central

Asia group



Montenegro

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Country data

Middle East &

N. Africa group


2,160 2,507 2,03859.3 57.5 47.3

2.7 2.6 3.01.5 2.0 1.1

68 22 4215.4 33.8 26.3426 1,050 2,057147 672 531

9.8 2.4 26.5–0.1 –0.4 0.11.1 3.4 12.8

55976

3,6752

4.0

7.8 4.7 3.6458 1,270 1,2163.3 1.1 12.8

644 1,358 1,50292.8 92.5 78.6

6.3 7.4 16.8

0.4 0.7 0.81.4 3.9 3.4

75.2 101.1 71.122 77 6946 34 21

962 757 5,769

43.4 105.0 7.387 89 7581 89 8156 81 7199 96 9373 76 5552 58 3988 92 76

12.010.4

37 42 36

35.0 .. 41.410.5 10.9 10.46.5 4.6 2.50.2 40.0 11.10.8 0.3 1.10.0 0.1 0.00.5 1.1 1.20.1 0.6 1.1

29.4 .. 18.9

Morocco

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310 829 64935.3 35.8 30.4

5.9 4.1 3.12.7 2.6 2.0

62 44 452.6 3.5 24.016 .. ..

306 351 544

24.5 26.5 23.90.3 0.7 0.65.8 11.3 9.991393

5,69246

8.2

1.4 2.7 3.8497 681 486

85.4 56.3 41.7450 542 3910.2 76.1 72.4

99.8 20.1 24.8

0.2 0.6 0.50.1 0.9 0.9

117.3 46.3 55.728 60 74

.. .. 8

4,885 5,093 3,077

0.6 3.1 18.987 87 8943 56 7526 42 6972 80 8832 37 3819 28 2853 53 60

10.020.7138 157 112

3.5 19.4 30.58.5 10.7 9.03.7 3.8 3.4

11.5 18.7 9.40.0 2.3 1.30.5 0.4 0.60.2 0.6 1.00.2 0.4 0.7

–13.8 –10.0 11.9

Country data


Low-income group


Mozambique

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Country data

East Asia & Pacific

group

Low-income group

.. 1,856 64931.3 42.4 30.4

2.6 3.5 3.11.2 1.1 2.0

17 51 4517.0 .. 24.0

2 .. ..331 547 544

49.0 28.4 23.91.3 0.1 0.65.4 12.1 9.9

1,335118

7,00038

10.6

2.7 3.3 3.8307 1,182 486

69.6 15.5 41.782 1,492 391

50.2 81.9 72.449.8 15.6 24.8

0.3 0.9 0.50.2 3.3 0.9

128.7 97.7 55.763 73 74

4 14 8

18,358 5,022 3,077

3.8 11.1 18.998 74 8978 79 7577 70 6980 92 8877 51 3872 36 2888 72 60

2.0..

104 29 112

.. 47.2 30.5

.. 10.3 9.00.8 2.1 3.4

.. 7.1 9.4

.. 0.9 1.3

.. 0.0 0.6

.. 1.2 1.00.6 1.3 0.7

.. 28.5 11.9

Myanmar

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3,210 829 2,03835.7 35.8 47.33.9 4.1 3.02.3 2.6 1.1

47 44 421.0 3.5 26.319 .. 2,057

161 351 531

9.3 26.5 26.50.9 0.7 0.15.6 11.3 12.881155

3,17424

5.9

6.7 2.7 3.6683 681 1,21613.5 56.3 12.8

1,428 542 1,5023.0 76.1 78.6

97.0 20.1 16.8

0.3 0.6 0.81.2 0.9 3.4

.. 46.3 71.142 60 6942 .. 21

3,070 5,093 5,769

4.8 3.1 7.371 87 7587 56 8181 42 7198 80 9325 37 5513 28 3950 53 76

18.020.6

61 157 36

42.7 19.4 41.411.0 10.7 10.4

7.3 3.8 2.50.0 18.7 11.15.2 2.3 1.10.0 0.4 0.00.3 0.6 1.20.1 0.4 1.1

33.4 –10.0 18.9

Country data




Namibia

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Country data

South Asia

group

Low-income group

320 768 64916.3 28.8 30.4

6.1 2.7 3.12.3 1.8 2.0

30 55 4547.0 39.2 24.0

96 1,391 ..968 619 544

25.4 16.8 23.91.9 –0.1 0.6

18.6 6.0 9.9455

726,973

72.2

2.8 4.6 3.8338 453 48686.6 31.5 41.7

70 432 3910.2 79.9 72.4

99.8 16.7 24.8

0.1 0.5 0.50.1 1.1 0.9

382.6 97.0 55.736 81 74

3 8 8

7,315 1,230 3,077

5.1 51.8 18.996 90 8990 84 7589 81 6996 94 8835 37 3830 27 2862 63 60

23.027.5

59 83 112

28.0 32.1 30.57.6 8.9 9.02.6 3.5 3.40.0 4.5 9.40.0 0.9 1.32.1 0.5 0.60.3 1.1 1.00.1 0.8 0.7

20.5 18.8 11.9

Nepal

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43,050 36,60880.7 77.6

1.6 1.10.6 0.7

57 3660.2 11.0

6,231 1,188356 325

10.8 29.5–0.4 –0.128.0 13.0539

261,221

00.1

6.9 6.05,015 5,498

3.2 3.26,988 9,760

86.9 62.50.1 11.5

0.3 0.48.7 13.20.7 22.435 27

429 467

674 9,579

72.2 10.234 42

100 99100 98100 100100 100100 ..100 100

..

..5 7

28.7 19.914.5 13.05.2 4.72.5 1.50.0 0.20.0 0.00.2 0.30.6 0.3

16.0 9.3

Country data

High-income group


Netherlands

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Country data

High-income group

.. 36,60870.7 77.60.2 1.1

–0.1 0.7

10 36.. 11.0.. 1,188

690 325

1.3 29.50.0 –0.1

.. 13.0300

26..2

0.2

.. 6.08,890 5,498

0.0 3.25,172 9,760100.0 62.5

0.0 11.5

.. 0.422.2 13.2

239.9 22.430 27

360 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Netherlands Antilles

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.. 36,60864.1 77.6

2.6 1.12.2 0.7

14 36100.0 11.03,207 1,1881,419 325

39.2 29.50.0 –0.17.4 13.0

17851

3,2502198.9

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.411.2 13.259.8 22.4

66 27.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.912.8 13.0

.. 4.70.0 1.50.0 0.20.0 0.00.4 0.3

.. 0.3

.. 9.3

Country data

High-income group


New Caledonia

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26,750 36,60886.3 77.6

1.3 1.11.2 0.7

65 3611.4 11.0

7,026 1,18838 325

31.0 29.5–0.5 –0.124.2 13.0424124

2,38221

22.3

6.0 6.04,090 5,498

5.1 3.29,656 9,760

35.6 62.554.6 11.5

0.3 0.47.7 13.2

39.3 22.415 27

607 467

79,102 9,579

0.6 10.242 42

.. 99

.. 98100 100

.. 100

.. ..

.. 100

..

..6 7

21.2 19.913.7 13.0

7.0 4.71.5 1.50.3 0.20.0 0.00.3 0.30.0 0.3

12.4 9.3

Country data

High-income group

New Zealand

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930 4,785 2,03859.4 77.7 47.3

2.5 2.1 3.01.8 1.5 1.1

44 36 422.8 12.5 26.3

292 1,003 2,057116 241 531

42.7 45.4 26.51.5 0.5 0.1

23.1 19.7 12.881359

7,590393.6

4.3 7.0 3.6611 1,198 1,216

50.5 14.8 12.8414 1,715 1,502

69.8 37.0 78.615.1 57.6 16.8

0.3 0.3 0.80.7 2.5 3.4

51.4 29.6 71.130 37 6918 115 21

34,727 24,471 5,769

0.7 2.0 7.383 71 7579 91 8163 73 7190 96 9347 77 5534 49 3956 86 76

31.014.0

36 26 36

13.6 22.4 41.49.5 12.1 10.43.0 4.4 2.50.0 9.1 11.11.1 3.0 1.10.0 0.0 0.00.6 0.4 1.20.1 0.4 1.15.3 1.8 18.9

Country data


group

Lower middleincome group


Nicaragua

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Country data


Low-income group

270 829 64917.0 35.8 30.44.1 4.1 3.13.5 2.6 2.0

30 44 450.5 3.5 24.0

3 .. ..76 351 544

1.0 26.5 23.92.8 0.7 0.67.7 11.3 9.9

61620

1,4602

0.9

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.2 0.6 0.50.09 0.92 0.9015.7 46.3 55.7149 60 74

4 .. 8

264 5,093 3,077

62.3 3.1 18.995 87 8946 56 7536 42 6980 80 8813 37 38

4 28 2843 53 60

11.840.0253 157 112

.. 19.4 30.57.4 10.7 9.02.3 3.8 3.40.0 18.7 9.40.0 2.3 1.32.6 0.4 0.60.3 0.6 1.00.9 0.4 0.7

.. –10.0 11.9

Niger

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620 829 64949.0 35.8 30.44.8 4.1 3.12.7 2.6 2.0

81 44 450.8 3.5 24.067 .. ..

229 351 544

12.2 26.5 23.92.9 0.7 0.66.0 11.3 9.9

1,18979

4,7151716.6

2.1 2.7 3.8734 681 48678.0 56.3 41.7127 542 391

66.2 76.1 72.433.8 20.1 24.8

0.6 0.6 0.50.8 0.9 0.9

151.3 46.3 55.762 60 7417 .. 8

1,563 5,093 3,077

3.6 3.1 18.969 87 8948 56 7531 42 6967 80 8844 37 3836 28 2853 53 60

10.015.3191 157 112

38.8 19.4 30.510.2 10.7 9.00.9 3.8 3.4

57.7 18.7 9.40.0 2.3 1.30.2 0.4 0.60.4 0.6 1.00.7 0.4 0.7

–29.6 –10.0 11.9

Country data


Low-income group


Nigeria

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.. 1,856 5,91394.7 42.4 75.0

.. 3.5 1.4

.. 1.1 0.9

7 51 30.. .. 9.0.. .. 672

442 547 112

71.7 28.4 38.80.4 0.1 0.22.2 12.1 10.99930

..5

1.7

.. 3.3 4.6

.. 1,182 2,248

.. 15.5 6.5

.. 1,492 3,131

.. 81.9 61.9

.. 15.6 27.8

.. 0.9 0.6

.. 3.3 5.6

.. 97.7 –7.7

.. 73 33

.. 14 140

.. 5,022 17,199

.. 11.1 4.0

.. 74 5499 79 9397 70 7898 92 9895 51 8196 36 6094 72 89

..

..

.. 29 26

.. 47.2 22.3

.. 10.3 11.4

.. 2.1 4.4

.. 7.1 14.4

.. 0.9 2.0

.. 0.0 0.0

.. 1.2 0.7

.. 1.3 0.4

.. 28.5 –2.2

Country data

East Asia & Pacific

group



Northern Mariana Islands

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68,440 36,60877.5 77.61.0 1.10.6 0.7

3 36.. 11.0

1,909 1,188121 325

30.8 29.5–0.2 –0.16.5 13.0525

321,715

21.6

6.8 6.06,948 5,498

4.1 3.225,137 9,760

0.4 62.598.9 11.5

0.4 0.419.1 13.2

163.7 22.420 27

439 467

82,625 9,579

0.6 10.211 42

100 99100 98100 100

.. 100

.. ..

.. 100

..

..4 7

38.8 19.913.3 13.0

7.0 4.723.0 1.5

0.0 0.20.0 0.00.1 0.30.1 0.39.2 9.3

Country data

High-income group


Norway

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Country data

Middle East &

N. Africa group


11,120 2,507 5,91371.5 57.5 75.02.6 2.6 1.42.0 2.0 0.9

6 22 3090.0 33.8 9.0

6,168 1,050 6721,152 672 112

0.0 2.4 38.80.0 –0.4 0.20.1 3.4 10.9

55750

1,2046

4.4

3.7 4.7 4.65,570 1,270 2,248

0.0 1.1 6.53,757 1,358 3,131100.0 92.5 61.9

0.0 7.4 27.8

0.6 0.7 0.612.5 3.9 5.6

200.8 101.1 –7.7132 77 33156 34 140

399 757 17,199

136.0 105.0 4.090 89 5482 89 9373 81 7885 96 9888 76 8161 58 6097 92 89

6.26.712 42 26

.. .. 22.3

.. 10.9 11.43.7 4.6 4.4

.. 40.0 14.4

.. 0.3 2.00.0 0.1 0.0

.. 1.1 0.71.4 0.6 0.4

.. .. –2.2

Oman

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800 768 64935.3 28.8 30.4

3.3 2.7 3.12.4 1.8 2.0

35 55 4585.4 39.2 24.0

1,913 1,391 ..477 619 544

2.5 16.8 23.91.9 –0.1 0.69.5 6.0 9.9

82078

4,9502

5.1

4.5 4.6 3.8490 453 48635.5 31.5 41.7456 432 391

64.5 79.9 72.432.9 16.7 24.8

0.4 0.5 0.50.8 1.1 0.9

84.6 97.0 55.7120 81 74

10 8 8

336 1,230 3,077

323.3 51.8 18.996 90 8991 84 7589 81 6996 94 8859 37 3841 27 2892 63 60

24.026.0

97 83 112

23.1 32.1 30.58.4 8.9 9.01.8 3.5 3.47.2 4.5 9.40.0 0.9 1.30.4 0.5 0.60.8 1.1 1.01.5 0.8 0.76.8 18.8 11.9

Country data

South Asia

group

Low-income group


Pakistan

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7,990 1,856 5,91369.7 42.4 75.0

.. 3.5 1.4

.. 1.1 0.9

20 51 30.. .. 9.0.. .. 672

153 547 112

87.0 28.4 38.8–0.3 0.1 0.20.0 12.1 10.9

12022

..4

1.5

.. 3.3 4.6

.. 1,182 2,248

.. 15.5 6.5

.. 1,492 3,131

.. 81.9 61.9

.. 15.6 27.8

1.0 0.9 0.611.9 3.3 5.6

.. 97.7 –7.7

.. 73 33

.. 14 140

.. 5,022 17,199

.. 11.1 4.0

.. 74 5485 79 9394 70 7879 92 9880 51 8152 36 6096 72 89

..

..11 29 26

.. 47.2 22.312.0 10.3 11.4

.. 2.1 4.40.0 7.1 14.40.0 0.9 2.0

.. 0.0 0.01.2 1.2 0.7

.. 1.3 0.4

.. 28.5 –2.2

Country data

East Asia & Pacific

group



Palau

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5,000 4,785 5,91371.6 77.7 75.0

3.7 2.1 1.41.9 1.5 0.9

30 36 306.2 12.5 9.0

343 1,003 672172 241 112

57.7 45.4 38.80.1 0.5 0.2

17.6 19.7 10.91,145

1219,915

19411.7

10.5 7.0 4.6804 1,198 2,24816.1 14.8 6.5

1,500 1,715 3,13135.7 37.0 61.963.9 57.6 27.8

0.2 0.3 0.61.8 2.5 5.6

80.8 29.6 –7.735 37 3373 115 140

45,613 24,471 17,199

0.6 2.0 4.028 71 5490 91 9379 73 7899 96 9873 77 8151 49 6089 86 89

..12.6

23 26 26

18.6 22.4 22.312.3 12.1 11.4

4.4 4.4 4.40.0 9.1 14.40.0 3.0 2.00.0 0.0 0.00.3 0.4 0.70.2 0.4 0.4

10.2 1.8 –2.2

Country data


group


Panama

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Country data

East Asia & Pacific

group

Low-income group

740 1,856 64913.5 42.4 30.4

2.7 3.5 3.12.5 1.1 2.0

2 51 45.. .. 24.0

714 .. ..2,190 547 544

65.0 28.4 23.90.5 0.1 0.61.6 12.1 9.9

980158

11,54414227.7

.. 3.3 3.8

.. 1,182 486

.. 15.5 41.7

.. 1,492 391

.. 81.9 72.4

.. 15.6 24.8

0.2 0.9 0.50.4 3.3 0.90.8 97.7 55.724 73 74

.. 14 8

131,967 5,022 3,077

.. 11.1 18.9

.. 74 8939 79 7532 70 6988 92 8844 51 3841 36 2867 72 60

12.616.5

73 29 112

.. 47.2 30.510.2 10.3 9.0

.. 2.1 3.423.8 7.1 9.448.5 0.9 1.3

0.0 0.0 0.60.4 1.2 1.00.0 1.3 0.7

.. 28.5 11.9

Papua New Guinea

Green08 0424.indd 166 4/24/08 1:50:52 PM







1,410 4,785 2,03859.1 77.7 47.33.4 2.1 3.02.2 1.5 1.1

61 36 421.7 12.5 26.3

542 1,003 2,05758 241 531

46.5 45.4 26.50.9 0.5 0.14.2 19.7 12.8

86439

7,85110

3.3

5.7 7.0 3.6674 1,198 1,216

54.8 14.8 12.8849 1,715 1,5020.0 37.0 78.6

100.0 57.6 16.8

0.2 0.3 0.80.7 2.5 3.4

84.8 29.6 71.184 37 69

.. 115 21

15,936 24,471 5,769

0.5 2.0 7.371 71 7586 91 8168 73 7199 96 9380 77 5561 49 3994 86 76

17.316.1

22 26 36

7.3 22.4 41.49.9 12.1 10.44.1 4.4 2.50.0 9.1 11.10.0 3.0 1.10.0 0.0 0.00.3 0.4 1.20.7 0.4 1.10.5 1.8 18.9

Country data


group



Paraguay

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Country data


group


2,980 4,785 2,03872.8 77.7 47.3

1.8 2.1 3.01.5 1.5 1.1

17 36 4227.8 12.5 26.3817 1,003 2,057202 241 531

53.7 45.4 26.50.1 0.5 0.1

16.9 19.7 12.82,222

23817,144

27436.3

12.7 7.0 3.6506 1,198 1,21616.4 14.8 12.8848 1,715 1,50221.1 37.0 78.678.3 57.6 16.8

0.2 0.3 0.81.2 2.5 3.4

49.7 29.6 71.161 37 6930 115 21

59,250 24,471 5,769

1.2 2.0 7.382 71 7583 91 8165 73 7189 96 9363 77 5532 49 3974 86 76

20.415.4

25 26 36

25.1 22.4 41.412.0 12.1 10.4

2.5 4.4 2.53.2 9.1 11.1

14.8 3.0 1.10.0 0.0 0.00.3 0.4 1.20.7 0.4 1.1

–3.4 1.8 18.9

Peru

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1,390 1,856 2,03863.4 42.4 47.3

3.8 3.5 3.02.1 1.1 1.1

41 51 4214.5 .. 26.3

1,426 .. 2,057553 547 531

24.0 28.4 26.52.6 0.1 0.18.2 12.1 12.8812253

8,931213

33.7

5.6 3.3 3.6528 1,182 1,21624.4 15.5 12.8588 1,492 1,50267.7 81.9 78.614.8 15.6 16.8

0.3 0.9 0.81.0 3.3 3.4

83.2 97.7 71.126 73 69

9 14 21

5,664 5,022 5,769

6.0 11.1 7.374 74 7585 79 8182 70 7187 92 9372 51 5559 36 3980 72 76

10.07.432 29 36

30.5 47.2 41.48.4 10.3 10.42.4 2.1 2.50.7 7.1 11.11.2 0.9 1.10.1 0.0 0.00.5 1.2 1.20.3 1.3 1.1

21.7 28.5 18.9

Country data

East Asia & Pacific

group



Philippines

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Country data

Europe & Central

Asia group


8,210 4,815 5,91362.2 63.8 75.0

0.1 0.2 1.40.0 0.1 0.9

52 28 300.6 10.9 9.0

1,281 400 672119 129 112

30.0 38.3 38.8–0.2 –0.0 0.223.1 7.0 10.9534

382,450

40.6

5.6 3.3 4.62,436 2,826 2,248

5.1 2.2 6.53,437 3,633 3,131

97.3 66.1 61.91.4 17.5 27.8

0.6 0.8 0.68.0 7.1 5.6

–11.7 –30.2 –7.737 29 33

323 152 140

1,404 11,473 17,199

30.2 7.5 4.08 59 54.. 92 93.. 80 78

100 99 98.. 85 81.. 70 60.. 93 89

..

..7 26 26

18.8 22.6 22.312.8 10.3 11.4

5.4 4.1 4.41.3 18.4 14.41.1 1.1 2.00.0 0.0 0.00.8 1.1 0.70.4 0.5 0.47.8 –4.9 –2.2

Poland

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17,850 36,60858.2 77.6

1.6 1.10.4 0.7

40 3623.8 11.0

1,709 1,188354 325

41.3 29.5–1.3 –0.15.1 13.0

606147

5,05016

3.8

7.7 6.02,575 5,498

10.8 3.24,663 9,760

81.5 62.510.2 11.5

0.3 0.45.6 13.2

39.1 22.428 27

471 467

3,602 9,579

29.6 10.278 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..5 7

12.7 19.917.4 13.05.7 4.70.0 1.50.2 0.20.0 0.00.2 0.30.4 0.30.1 9.3

Country data

High-income group


Portugal

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10,950 36,60897.8 77.62.6 1.10.7 0.7

25 3615.7 11.0

.. 1,188132 325

46.0 29.5–0.1 –0.13.5 13.0

34847

2,493533.8

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.40.5 13.2

.. 22.421 27

.. 467

1,815 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group


Puerto Rico

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.. 36,60895.5 77.6

3.7 1.13.5 0.7

6 3661.9 11.0

4,083 1,188203 325

.. 29.5

.. –0.10.0 13.0

15913

355..

0.1

3.6 6.019,877 5,498

0.0 3.216,801 9,760

100.0 62.50.0 11.5

1.0 0.469.2 13.2

334.0 22.454 27

335 467

126 9,579

290.0 10.272 42

100 99100 98100 100100 100100 ..100 100

..8.821 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group


Qatar

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Country data

Europe & Central

Asia group


4,830 4,815 5,91353.9 63.8 75.0–0.5 0.2 1.4–0.5 0.1 0.9

63 28 300.5 10.9 9.0497 400 672108 129 112

27.7 38.3 38.80.0 –0.0 0.22.5 7.0 10.9

46664

3,4001..

5.3 3.3 4.61,772 2,826 2,248

8.5 2.2 6.52,342 3,633 3,131

56.6 66.1 61.934.0 17.5 27.8

0.5 0.8 0.64.2 7.1 5.6

–41.7 –30.2 –7.714 29 33

149 152 140

1,955 11,473 17,199

54.8 7.5 4.057 59 5457 92 9316 80 7891 99 98

.. 85 81

.. 70 6089 93 89

..

..18 26 26

13.0 22.6 22.312.0 10.3 11.43.3 4.1 4.44.5 18.4 14.40.2 1.1 2.00.0 0.0 0.00.7 1.1 0.70.0 0.5 0.4

–1.2 –4.9 –2.2

Romania

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5,770 4,815 5,91372.9 63.8 75.0–0.3 0.2 1.4–0.2 0.1 0.9

13 28 303.6 10.9 9.0

159 400 67232 129 112

49.4 38.3 38.80.0 –0.0 0.27.9 7.0 10.9

941153

11,4007

37.1

2.6 3.3 4.64,517 2,826 2,248

1.1 2.2 6.55,785 3,633 3,13165.8 66.1 61.918.2 17.5 27.8

1.0 0.8 0.610.6 7.1 5.6

–32.6 –30.2 –7.719 29 33

161 152 140

30,127 11,473 17,199

1.8 7.5 4.018 59 5497 92 9388 80 78

100 99 9887 85 8170 70 6093 93 89

..

..16 26 26

30.7 22.6 22.37.0 10.3 11.43.5 4.1 4.4

37.5 18.4 14.41.9 1.1 2.00.0 0.0 0.01.4 1.1 0.70.3 0.5 0.4

–13.8 –4.9 –2.2

Country data

Europe & Central

Asia group



Russian Federation

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Country data


Low-income group

250 829 64920.2 35.8 30.4

9.9 4.1 3.11.6 2.6 2.0

79 44 450.6 3.5 24.0

.. .. ..621 351 544

19.5 26.5 23.9–2.8 0.7 0.67.9 11.3 9.9

87149

2,2883

1.1

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.09 0.57 0.530.06 0.92 0.908.3 46.3 55.728 60 74

.. .. 8

1,029 5,093 3,077

1.6 3.1 18.968 87 8974 56 7569 42 6992 80 8842 37 3838 28 2856 53 60

17.114.1160 157 112

13.9 19.4 30.57.4 10.7 9.03.5 3.8 3.40.0 18.7 9.40.0 2.3 1.32.3 0.4 0.60.2 0.6 1.00.1 0.4 0.77.3 –10.0 11.9

Rwanda

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2,270 1,856 2,03822.6 42.4 47.31.3 3.5 3.00.9 1.1 1.1

33 51 42.. .. 26.3

18 .. 2,057476 547 531

60.4 28.4 26.5–1.8 0.1 0.13.2 12.1 12.855

..

..

..1.9

.. 3.3 3.6

.. 1,182 1,216

.. 15.5 12.8

.. 1,492 1,502

.. 81.9 78.6

.. 15.6 16.8

0.2 0.9 0.80.8 3.3 3.4

20.6 97.7 71.1.. 73 69.. 14 21

.. 5,022 5,769

.. 11.1 7.3

.. 74 7588 79 8187 70 7190 92 93

100 51 55100 36 39100 72 76

..

..28 29 36

.. 47.2 41.410.6 10.3 10.44.0 2.1 2.50.0 7.1 11.10.0 0.9 1.11.0 0.0 0.00.3 1.2 1.2

.. 1.3 1.1

.. 28.5 18.9

Country data

East Asia & Pacific

group


Population (thousands) 185 Land area (1,000 sq. km) 2.8 GDP ($ millions) 424

Samoa

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Country data

High-income group

45,130 36,60897.5 77.6

.. 1.1

.. 0.7

17 36.. 11.0.. 1,188

79 325

.. 29.5

.. –0.1

.. 13.090..0..

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.4

.. 13.2

.. 22.410 27

.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..3 7

.. 19.9

.. 13.0

.. 4.70.0 1.50.0 0.2

.. 0.00.0 0.3

.. 0.3

.. 9.3

San Marino

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800 829 64958.8 35.8 30.4

3.7 4.1 3.11.8 2.6 2.0

59 44 4518.2 3.5 24.0

.. .. ..712 351 544

28.1 26.5 23.90.0 0.7 0.6

.. 11.3 9.9126

28895

353.0

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.5 0.6 0.50.6 0.9 0.9

38.9 46.3 55.749 60 74

.. .. 8

14,415 5,093 3,077

.. 3.1 18.9

.. 87 8979 56 7573 42 6989 80 8825 37 3820 28 2832 53 60

5.0..

96 157 112

.. 19.4 30.59.1 10.7 9.0

.. 3.8 3.40.0 18.7 9.40.0 2.3 1.30.0 0.4 0.60.7 0.6 1.00.1 0.4 0.7

.. –10.0 11.9

Country data


Low-income group


São Tomé and Principe

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Country data

High-income group

13,980 36,60881.2 77.6

2.7 1.12.3 0.7

.. 3642.7 11.0939 1,188126 325

1.4 29.50.0 –0.1

41.0 13.052745

2,0283

3.4

3.5 6.06,068 5,498

0.0 3.26,813 9,760100.0 62.5

0.0 11.5

0.7 0.413.7 13.221.0 22.4120 27415 467

104 9,579

721.7 10.289 4296 9963 9897 10099 100

.. ..100 100

..

..25 7

.. 19.9

.. 13.07.2 4.7

.. 1.5

.. 0.20.0 0.0

.. 0.31.4 0.3

.. 9.3

Saudi Arabia

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760 829 64941.9 35.8 30.43.1 4.1 3.12.7 2.6 2.0

43 44 454.8 3.5 24.0

254 .. ..270 351 544

45.0 26.5 23.90.5 0.7 0.6

11.2 11.3 9.9803

552,086

71.3

6.0 2.7 3.8258 681 48639.2 56.3 41.7151 542 391

81.8 76.1 72.410.5 20.1 24.8

0.3 0.6 0.50.4 0.9 0.9

59.3 46.3 55.795 60 74

.. .. 8

2,192 5,093 3,077

8.6 3.1 18.993 87 8976 56 7560 42 6992 80 8857 37 3834 28 2879 53 60

6.615.1116 157 112

18.8 19.4 30.59.0 10.7 9.04.6 3.8 3.40.0 18.7 9.40.1 2.3 1.30.0 0.4 0.60.4 0.6 1.01.1 0.4 0.7

12.6 –10.0 11.9

Country data


Low-income group


Senegal

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Country data

Europe & Central

Asia group


4,030 4,815 5,913.. 63.8 75.0.. 0.2 1.4

–0.1 0.1 0.9

.. 28 30

.. 10.9 9.0

.. 400 672

.. 129 112

.. 38.3 38.8

.. –0.0 0.2

.. 7.0 10.9

..

..

..

..

..

.. 3.3 4.6

.. 2,826 2,248

.. 2.2 6.5

.. 3,633 3,131

.. 66.1 61.9

.. 17.5 27.8

.. 0.8 0.6

.. 7.1 5.6

.. –30.2 –7.7

.. 29 33

.. 152 140

.. 11,473 17,199

.. 7.5 4.0

.. 59 54

.. 92 93

.. 80 78

.. 99 98

.. 85 81

.. 70 60

.. 93 89

..

..8 26 26

.. 22.6 22.3

.. 10.3 11.4

.. 4.1 4.4

.. 18.4 14.4

.. 1.1 2.0

.. 0.0 0.0

.. 1.1 0.7

.. 0.5 0.4

.. –4.9 –2.2

Serbia

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8,870 829 5,91353.4 35.8 75.0

1.7 4.1 1.41.2 2.6 0.9

13 44 30.. 3.5 9.0.. .. 672

3,905 351 112

87.0 26.5 38.80.0 0.7 0.28.3 11.3 10.9

26348

250454.7

.. 2.7 4.6

.. 681 2,248

.. 56.3 6.5

.. 542 3,131

.. 76.1 61.9

.. 20.1 27.8

0.5 0.6 0.66.6 0.9 5.6

380.6 46.3 –7.7.. 60 33

74 .. 140

.. 5,093 17,199

.. 3.1 4.0

.. 87 5488 56 9375 42 78

100 80 98.. 37 81

100 28 60.. 53 89

..

..13 157 26

10.0 19.4 22.313.1 10.7 11.45.3 3.8 4.40.0 18.7 14.40.0 2.3 2.00.0 0.4 0.00.5 0.6 0.7

.. 0.4 0.41.6 –10.0 –2.2

Country data




Seychelles

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240 829 64941.4 35.8 30.44.1 4.1 3.12.1 2.6 2.0

40 44 454.7 3.5 24.0

.. .. ..552 351 544

38.5 26.5 23.90.7 0.7 0.64.5 11.3 9.9

82348

2,09047

1.5

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.3 0.6 0.50.2 0.9 0.9

197.8 46.3 55.757 60 742 .. 8

28,641 5,093 3,077

0.2 3.1 18.992 87 8957 56 7546 42 6975 80 8839 37 3830 28 2853 53 60

8.725.3270 157 112

9.7 19.4 30.57.5 10.7 9.04.5 3.8 3.40.0 18.7 9.40.0 2.3 1.31.7 0.4 0.60.5 0.6 1.01.1 0.4 0.73.5 –10.0 11.9

Country data


Low-income group

Sierra Leone

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Country data

High-income group

28,730 36,608100.0 77.6

2.4 1.12.4 0.7

1 36.. 11.0.. 1,1880 325

2.9 29.50.0 –0.14.2 13.047344

2,282540.1

6.0 6.06,933 5,498

0.0 3.28,358 9,760100.0 62.5

0.0 11.5

0.3 0.412.3 13.215.9 22.4

40 27101 467

138 9,579

.. 10.2

.. 42100 99

.. 98100 100100 100

.. ..100 100

..

..3 7

47.8 19.915.0 13.0

2.5 4.70.0 1.50.0 0.20.0 0.00.4 0.30.8 0.3

34.0 9.3

Population (millions) 4.5 Land area (sq. km) 689 GDP ($ billions) 132.2

Singapore

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Country data

Europe & Central

Asia group


9,610 4,815 5,91356.3 63.8 75.0

0.1 0.2 1.40.1 0.1 0.9

40 28 301.8 10.9 9.0

1,125 400 672170 129 112

40.1 38.3 38.8–0.0 –0.0 0.222.8 7.0 10.941944

3,1242

0.1

4.5 3.3 4.63,496 2,826 2,248

2.4 2.2 6.54,920 3,633 3,131

28.5 66.1 61.914.8 17.5 27.8

0.4 0.8 0.66.7 7.1 5.6

–29.5 –30.2 –7.716 29 33

222 152 140

2,339 11,473 17,199

.. 7.5 4.0

.. 59 54100 92 9399 80 78

100 99 9899 85 8198 70 60

100 93 89

..

..8 26 26

21.2 22.6 22.321.9 10.3 11.4

4.1 4.1 4.40.1 18.4 14.40.0 1.1 2.00.4 0.0 0.00.6 1.1 0.70.0 0.5 0.42.2 –4.9 –2.2

Slovak Republic

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18,660 36,60851.2 77.6

0.1 1.10.0 0.7

25 361.0 11.0

3,716 1,188557 325

62.8 29.5–0.4 –0.114.5 13.0437

803,200

..0.2

6.2 6.03,657 5,498

6.7 3.26,918 9,760

37.4 62.522.9 11.5

0.4 0.48.1 13.2

–10.1 22.431 27

471 467

9,348 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..4 7

26.3 19.913.5 13.0

5.6 4.75.1 1.50.0 0.20.2 0.00.3 0.30.2 0.3

12.5 9.3

Country data

High-income group


Slovenia

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Country data

East Asia & Pacific

group

Low-income group

690 1,856 64917.3 42.4 30.44.2 3.5 3.12.7 1.1 2.0

3 51 45.. .. 24.0.. .. ..

2,178 547 544

77.6 28.4 23.91.6 0.1 0.60.1 12.1 9.9

32061

3,17216

4.5

.. 3.3 3.8

.. 1,182 486

.. 15.5 41.7

.. 1,492 391

.. 81.9 72.4

.. 15.6 24.8

0.2 0.9 0.50.4 3.3 0.99.1 97.7 55.735 73 74

.. 14 8

94,619 5,022 3,077

.. 11.1 18.9

.. 74 8970 79 7565 70 6994 92 8831 51 3818 36 2898 72 60

..

..73 29 112

.. 47.2 30.58.7 10.3 9.03.8 2.1 3.40.0 7.1 9.40.4 0.9 1.36.5 0.0 0.60.4 1.2 1.00.2 1.3 0.7

.. 28.5 11.9


Solomon Islands

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Population (millions) 8.4 Land area (1,000 sq. km) 627 GDP ($ billions) ..

.. 829 64935.7 35.8 30.4

2.6 4.1 3.11.4 2.6 2.0

71 44 4515.7 3.5 24.0

.. .. ..393 351 544

11.4 26.5 23.91.0 0.7 0.60.3 11.3 9.982455

3,02817

6.7

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

.. 0.6 0.5

.. 0.9 0.9

.. 46.3 55.732 60 74

.. .. 8

732 5,093 3,077

54.8 3.1 18.9100 87 89

29 56 7527 42 6932 80 8826 37 3814 28 2848 53 60

..23.4145 157 112

.. 19.4 30.5

.. 10.7 9.0

.. 3.8 3.4

.. 18.7 9.4

.. 2.3 1.3

.. 0.4 0.6

.. 0.6 1.0

.. 0.4 0.7

.. –10.0 11.9

Country data


Low-income group

Somalia

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Country data



5,390 829 5,91359.8 35.8 75.0

2.7 4.1 1.41.9 2.6 0.9

82 44 309.5 3.5 9.0

451 .. 672129 351 112

7.6 26.5 38.80.0 0.7 0.26.1 11.3 10.9

1,149323

23,42073

23.5

3.1 2.7 4.62,722 681 2,24810.5 56.3 6.5

4,847 542 3,13194.1 76.1 61.90.9 20.1 27.8

1.2 0.6 0.69.4 0.9 5.6

31.6 46.3 –7.722 60 3398 .. 140

955 5,093 17,199

27.9 3.1 4.063 87 5488 56 9373 42 7899 80 9865 37 8146 28 6079 53 89

19.013.2

69 157 26

14.2 19.4 22.311.9 10.7 11.45.3 3.8 4.43.5 18.7 14.43.1 2.3 2.00.1 0.4 0.01.1 0.6 0.70.1 0.4 0.4

–0.3 –10.0 –2.2

South Africa

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27,340 36,60876.8 77.6

0.9 1.10.8 0.7

58 3620.4 11.0

1,286 1,18874 325

35.9 29.5–1.9 –0.19.3 13.0

647170

5,050496.6

8.1 6.03,346 5,498

3.5 3.26,147 9,76063.4 62.5

6.7 11.5

0.3 0.47.7 13.2

55.7 22.434 27

445 467

2,562 9,579

32.0 10.268 42

100 99100 98100 100100 100100 ..100 100

..

..4 7

22.4 19.914.5 13.03.9 4.70.0 1.50.0 0.20.0 0.00.2 0.30.4 0.3

11.2 9.3

Country data

High-income group


Spain

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Country data

South Asia

group


1,310 768 2,03815.1 28.8 47.30.2 2.7 3.01.0 1.8 1.1

36 55 4238.8 39.2 26.3

3,071 1,391 2,0571,823 619 531

29.9 16.8 26.51.3 –0.1 0.1

27.3 6.0 12.8504177

3,3142806.6

7.2 4.6 3.6477 453 1,216

52.9 31.5 12.8378 432 1,502

60.6 79.9 78.639.4 16.7 16.8

0.2 0.5 0.80.6 1.1 3.4

206.6 97.0 71.194 81 6913 8 21

2,542 1,230 5,769

25.2 51.8 7.395 90 7579 84 8174 81 7198 94 9391 37 5589 27 3998 63 76

..5.013 83 36

24.9 32.1 41.49.7 8.9 10.42.6 3.5 2.50.0 4.5 11.10.0 0.9 1.10.3 0.5 0.00.3 1.1 1.20.4 0.8 1.1

16.7 18.8 18.9

Sri Lanka

Green08 0424.indd 192 4/24/08 1:50:56 PM








8,460 4,785 5,91332.2 77.7 75.0

0.4 2.1 1.40.9 1.5 0.9

38 36 30.. 12.5 9.0.. 1,003 672

465 241 112

19.2 45.4 38.80.0 0.5 0.20.0 19.7 10.9

139..

659..

0.1

.. 7.0 4.6

.. 1,198 2,248

.. 14.8 6.5

.. 1,715 3,131

.. 37.0 61.9

.. 57.6 27.8

0.2 0.3 0.62.7 2.5 5.6

88.9 29.6 –7.718 37 33

.. 115 140

.. 24,471 17,199

.. 2.0 4.0

.. 71 54100 91 9399 73 7899 96 9895 77 8196 49 6096 86 89

..

..19 26 26

21.3 22.4 22.313.7 12.1 11.44.0 4.4 4.40.0 9.1 14.40.0 3.0 2.0

.. 0.0 0.00.2 0.4 0.70.1 0.4 0.4

.. 1.8 –2.2

Country data


group


St. Kitts and Nevis

Green08 0424.indd 193 4/24/08 1:50:57 PM







5,060 4,785 5,91327.7 77.7 75.01.0 2.1 1.41.3 1.5 0.9

33 36 3016.7 12.5 9.0

.. 1,003 6722,983 241 112

27.9 45.4 38.80.0 0.5 0.2

14.6 19.7 10.917527

1,0286

1.0

.. 7.0 4.6

.. 1,198 2,248

.. 14.8 6.5

.. 1,715 3,131

.. 37.0 61.9

.. 57.6 27.8

0.3 0.3 0.62.3 2.5 5.6

127.3 29.6 –7.730 37 33

.. 115 140

.. 24,471 17,199

.. 2.0 4.0

.. 71 5498 91 9398 73 7898 96 9889 77 8189 49 6089 86 89

..

..14 26 26

2.3 22.4 22.312.8 12.1 11.4

5.6 4.4 4.40.0 9.1 14.40.0 3.0 2.0

.. 0.0 0.00.3 0.4 0.70.2 0.4 0.4

.. 1.8 –2.2

Country data


group



St. Lucia

Green08 0424.indd 194 4/24/08 1:50:57 PM








Country data


group


3,320 4,785 5,91346.3 77.7 75.0

1.4 2.1 1.40.6 1.5 0.9

26 36 3012.5 12.5 9.0

.. 1,003 6721,289 241 112

28.2 45.4 38.8–1.3 0.5 0.211.3 19.7 10.9185

251,166

51.1

.. 7.0 4.6

.. 1,198 2,248

.. 14.8 6.5

.. 1,715 3,131

.. 37.0 61.9

.. 57.6 27.8

0.2 0.3 0.61.7 2.5 5.6

145.5 29.6 –7.733 37 3399 115 140

.. 24,471 17,199

.. 2.0 4.0

.. 71 54

.. 91 9393 73 78

.. 96 98

.. 77 8196 49 60

.. 86 89

..

..20 26 26

–3.6 22.4 22.311.9 12.1 11.45.9 4.4 4.40.0 9.1 14.40.0 3.0 2.00.0 0.0 0.00.4 0.4 0.70.2 0.4 0.4

–10.2 1.8 –2.2

St. Vincent & Grenadines

Green08 0424.indd 195 4/24/08 1:50:57 PM







800 829 64941.7 35.8 30.45.1 4.1 3.12.3 2.6 2.0

58 44 4510.2 3.5 24.0

26 .. ..112 351 544

28.4 26.5 23.90.8 0.7 0.65.2 11.3 9.9

1,25447

3,13717

5.5

3.4 2.7 3.8499 681 48679.5 56.3 41.7

94 542 39170.0 76.1 72.430.0 20.1 24.8

0.2 0.6 0.50.3 0.9 0.9

92.6 46.3 55.7173 60 74

.. .. 8

813 5,093 3,077

124.4 3.1 18.997 87 8970 56 7564 42 6978 80 8834 37 3824 28 2850 53 60

5.029.4

89 157 112

15.5 19.4 30.510.0 10.7 9.00.9 3.8 3.4

21.6 18.7 9.40.2 2.3 1.30.0 0.4 0.60.2 0.6 1.00.4 0.4 0.7

–16.2 –10.0 11.9

Country data


Low-income group


Sudan

Green08 0424.indd 196 4/24/08 1:50:57 PM








Country data


group


4,210 4,785 2,03874.2 77.7 47.31.3 2.1 3.00.8 1.5 1.1

1 36 4275.0 12.5 26.3504 1,003 2,057197 241 531

94.7 45.4 26.50.0 0.5 0.1

11.8 19.7 12.887740

5,018263.0

.. 7.0 3.6

.. 1,198 1,216

.. 14.8 12.8

.. 1,715 1,502

.. 37.0 78.6

.. 57.6 16.8

0.7 0.3 0.85.1 2.5 3.4

26.1 29.6 71.132 37 69

171 115 21

194,489 24,471 5,769

0.8 2.0 7.393 71 7592 91 8173 73 7198 96 9394 77 5576 49 3999 86 76

4.014.8

39 26 36

–10.0 22.4 41.411.7 12.1 10.4

.. 4.4 2.50.0 9.1 11.14.7 3.0 1.10.0 0.0 0.01.0 0.4 1.20.5 0.4 1.1

.. 1.8 18.9

Suriname

Green08 0424.indd 197 4/24/08 1:50:57 PM







Country data




2,400 829 2,03824.4 35.8 47.32.8 4.1 3.02.4 2.6 1.1

81 44 4226.0 3.5 26.3

.. .. 2,057482 351 531

31.5 26.5 26.5–0.9 0.7 0.13.5 11.3 12.861416

2,71511

0.1

.. 2.7 3.6

.. 681 1,216

.. 56.3 12.8

.. 542 1,502

.. 76.1 78.6

.. 20.1 16.8

0.2 0.6 0.80.9 0.9 3.4

125.0 46.3 71.131 60 6940 .. 21

2,299 5,093 5,769

40.1 3.1 7.397 87 7562 56 8154 42 7187 80 9348 37 5544 28 3959 53 76

10.0..

164 157 36

18.6 19.4 41.410.4 10.7 10.46.2 3.8 2.50.0 18.7 11.10.0 2.3 1.10.0 0.4 0.00.3 0.6 1.20.1 0.4 1.1

14.1 –10.0 18.9

Swaziland

Green08 0424.indd 198 4/24/08 1:50:57 PM







43,530 36,60884.3 77.6

0.5 1.10.4 0.7

8 364.3 11.0

889 1,18853 325

67.1 29.5–0.0 –0.110.9 13.0542

301,750

30.3

5.5 6.05,782 5,498

17.2 3.215,440 9,760

2.5 62.546.0 11.5

0.2 0.45.9 13.27.2 22.412 27

460 467

18,949 9,579

1.7 10.29 42

100 99100 98100 100100 100100 ..100 100

..

..3 7

24.8 19.912.1 13.0

7.3 4.70.0 1.50.5 0.20.0 0.00.1 0.30.0 0.3

19.4 9.3

Country data

High-income group


Sweden

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Country data

High-income group

58,050 36,60875.6 77.61.3 1.10.7 0.7

38 365.8 11.0

2,230 1,188450 325

30.5 29.5–0.4 –0.129.6 13.047544

3,0303

0.2

9.6 6.03,651 5,498

7.1 3.28,305 9,760

1.8 62.554.1 11.5

0.2 0.45.5 13.2

–5.3 22.425 27

520 467

5,432 9,579

6.4 10.22 42

100 99100 98100 100100 100100 ..100 100

..

..5 7

.. 19.913.5 13.0

5.1 4.70.0 1.50.0 0.20.0 0.00.1 0.30.2 0.3

.. 9.3

Switzerland

Green08 0424.indd 200 4/24/08 1:50:58 PM







1,560 2,507 2,03850.8 57.5 47.3

2.9 2.6 3.02.6 2.0 1.1

76 22 4224.3 33.8 26.3985 1,050 2,057192 672 531

2.5 2.4 26.5–1.4 –0.4 0.11.5 3.4 12.8

43259

3,0000

0.9

4.2 4.7 3.6948 1,270 1,2160.0 1.1 12.8

1,411 1,358 1,50290.1 92.5 78.6

9.9 7.4 16.8

0.9 0.7 0.83.7 3.9 3.4

90.4 101.1 71.179 77 6912 34 21

370 757 5,769

285.0 105.0 7.395 89 7593 89 8187 81 7198 96 9390 76 5581 58 3999 92 76

18.08.614 42 36

17.6 .. 41.410.3 10.9 10.4

2.6 4.6 2.531.7 40.0 11.10.0 0.3 1.10.0 0.1 0.01.2 1.1 1.20.9 0.6 1.1

–24.0 .. 18.9

Country data

Middle East &

N. Africa group



Syrian Arab Republic

Green08 0424.indd 201 4/24/08 1:50:58 PM







390 4,815 64924.6 63.8 30.4–0.1 0.2 3.11.4 0.1 2.0

30 28 4568.3 10.9 24.0

.. 400 ..530 129 544

2.9 38.3 23.9–0.0 –0.0 0.618.6 7.0 9.9427

275,000

140.7

2.8 3.3 3.8528 2,826 4860.0 2.2 41.7

2,267 3,633 3912.3 66.1 72.4

97.7 17.5 24.8

0.6 0.8 0.50.8 7.1 0.9

–78.7 –30.2 55.752 29 74

.. 152 8

10,122 11,473 3,077

18.0 7.5 18.992 59 8959 92 7548 80 6992 99 8851 85 3845 70 2870 93 60

1.420.8

68 26 112

12.2 22.6 30.58.3 10.3 9.03.2 4.1 3.40.6 18.4 9.40.0 1.1 1.30.0 0.0 0.61.6 1.1 1.00.4 0.5 0.74.5 –4.9 11.9


Country data

Europe & Central

Asia group

Low-income group

Tajikistan

Green08 0424.indd 202 4/24/08 1:50:58 PM








Country data


Low-income group

350 829 64924.6 35.8 30.44.4 4.1 3.12.7 2.6 2.0

39 44 451.8 3.5 24.0

104 .. ..317 351 544

39.8 26.5 23.91.1 0.7 0.6

42.3 11.3 9.91,431

29910,008

24015.1

1.8 2.7 3.8530 681 48692.1 56.3 41.7

61 542 39141.4 76.1 72.458.6 20.1 24.8

0.1 0.6 0.50.1 0.9 0.9

86.3 46.3 55.724 60 74

.. .. 8

2,183 5,093 3,077

6.2 3.1 18.989 87 8962 56 7549 42 6985 80 8847 37 3843 28 2853 53 60

8.112.6118 157 112

11.4 19.4 30.57.8 10.7 9.02.4 3.8 3.40.3 18.7 9.44.7 2.3 1.30.0 0.4 0.60.2 0.6 1.00.1 0.4 0.70.6 –10.0 11.9

Tanzania

Green08 0424.indd 203 4/24/08 1:50:58 PM







3,050 1,856 2,03832.6 42.4 47.3

1.6 3.5 3.01.0 1.1 1.1

36 51 4228.2 .. 26.3

1,214 .. 2,057300 547 531

28.4 28.4 26.50.6 0.1 0.1

15.7 12.1 12.81,271

15711,625

868.0

4.4 3.3 3.61,588 1,182 1,216

16.5 15.5 12.81,988 1,492 1,502

93.1 81.9 78.64.4 15.6 16.8

0.6 0.9 0.84.3 3.3 3.4

179.8 97.7 71.177 73 6954 14 21

3,333 5,022 5,769

41.5 11.1 7.395 74 7599 79 81

100 70 7198 92 9399 51 5599 36 3998 72 76

..

..8 29 36

32.1 47.2 41.411.2 10.3 10.4

4.7 2.1 2.55.8 7.1 11.10.1 0.9 1.10.2 0.0 0.01.0 1.2 1.20.4 1.3 1.1

18.1 28.5 18.9

Country data

East Asia & Pacific

group



Thailand

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Country data

East Asia & Pacific

group

Low-income group

840 1,856 64926.9 42.4 30.4

3.6 3.5 3.12.0 1.1 2.0

23 51 45.. .. 24.0.. .. ..

588 547 544

53.7 28.4 23.91.3 0.1 0.6

12.6 12.1 9.9..........

.. 3.3 3.8

.. 1,182 486

.. 15.5 41.7

.. 1,492 391

.. 81.9 72.4

.. 15.6 24.8

0.08 0.90 0.530.2 3.3 0.9

.. 97.7 55.7

.. 73 74

.. 14 8

.. 5,022 3,077

.. 11.1 18.9

.. 74 8958 79 7556 70 6977 92 8836 51 3833 36 2866 72 60

14.0..

55 29 112

104.5 47.2 30.53.3 10.3 9.0

.. 2.1 3.4

.. 7.1 9.4

.. 0.9 1.3

.. 0.0 0.6

.. 1.2 1.0

.. 1.3 0.7

.. 28.5 11.9

Timor-Leste

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Country data


Low-income group

350 829 64940.8 35.8 30.4

4.9 4.1 3.13.0 2.6 2.0

67 44 450.3 3.5 24.082 .. ..

150 351 544

7.1 26.5 23.93.8 0.7 0.6

11.9 11.3 9.974033

3,08510

0.4

2.3 2.7 3.8320 681 48679.4 56.3 41.7

94 542 39160.4 76.1 72.439.6 20.1 24.8

0.5 0.6 0.50.4 0.9 0.9

207.3 46.3 55.736 60 74

.. .. 8

1,843 5,093 3,077

1.5 3.1 18.945 87 8952 56 7536 42 6980 80 8835 37 3815 28 2871 53 60

9.031.1108 157 112

.. 19.4 30.57.8 10.7 9.02.5 3.8 3.40.0 18.7 9.40.3 2.3 1.32.8 0.4 0.60.6 0.6 1.00.2 0.4 0.7

.. –10.0 11.9

Togo

Green08 0424.indd 206 4/24/08 1:50:59 PM







2,250 1,856 2,03824.3 42.4 47.30.8 3.5 3.00.3 1.1 1.1

42 51 42.. .. 26.3.. .. 2,057

503 547 531

5.6 28.4 26.50.0 0.1 0.18.6 12.1 12.85117

4634

0.6

.. 3.3 3.6

.. 1,182 1,216

.. 15.5 12.8

.. 1,492 1,502

.. 81.9 78.6

.. 15.6 16.8

0.2 0.9 0.81.2 3.3 3.4

52.4 97.7 71.1.. 73 69.. 14 21

.. 5,022 5,769

.. 11.1 7.3

.. 74 75100 79 81100 70 71100 92 93

96 51 5596 36 3998 72 76

..

..24 29 36

.. 47.2 41.410.3 10.3 10.4

3.7 2.1 2.50.0 7.1 11.10.0 0.9 1.10.0 0.0 0.00.4 1.2 1.2

.. 1.3 1.1

.. 28.5 18.9

Country data

East Asia & Pacific

group



Tonga

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12,500 36,60812.5 77.6

2.9 1.10.5 0.7

26 363.3 11.0

8,913 1,1881,550 325

44.1 29.50.3 –0.14.7 13.0

55138

2,2591

2.4

1.6 6.09,599 5,498

0.2 3.25,038 9,760

99.7 62.50.0 11.5

1.7 0.424.7 13.292.4 22.4107 27

.. 467

2,871 9,579

8.2 10.26 42

91 9988 9892 100

100 100100 ..100 100

..

..38 7

.. 19.912.1 13.04.0 4.7

71.7 1.50.0 0.20.0 0.01.6 0.30.2 0.3

.. 9.3

Country data

High-income group


Trinidad and Tobago

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Country data

Middle East &

N. Africa group


2,970 2,507 2,03865.7 57.5 47.3

2.0 2.6 3.01.4 2.0 1.1

63 22 427.4 33.8 26.3

644 1,050 2,057128 672 531

6.8 2.4 26.5–3.4 –0.4 0.11.5 3.4 12.8

43852

2,1960

0.5

7.6 4.7 3.6843 1,270 1,21613.3 1.1 12.8

1,194 1,358 1,50298.6 92.5 78.6

1.1 7.4 16.8

0.4 0.7 0.82.3 3.9 3.4

72.5 101.1 71.132 77 6983 34 21

419 757 5,769

62.9 105.0 7.382 89 7593 89 8182 81 7199 96 9385 76 5565 58 3996 92 76

9.05.823 42 36

26.9 .. 41.411.4 10.9 10.46.7 4.6 2.57.4 40.0 11.10.4 0.3 1.10.1 0.1 0.00.6 1.1 1.20.3 0.6 1.1

13.4 .. 18.9

Tunisia

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Country data

Europe & Central

Asia group


5,400 4,815 5,91367.8 63.8 75.02.5 0.2 1.41.6 0.1 0.9

54 28 3019.6 10.9 9.0852 400 672

99 129 112

13.2 38.3 38.8–0.3 –0.0 0.22.6 7.0 10.9

581121

8,6503

6.0

6.6 3.3 4.61,182 2,826 2,248

6.3 2.2 6.51,898 3,633 3,131

75.4 66.1 61.924.4 17.5 27.8

0.4 0.8 0.63.2 7.1 5.6

54.6 –30.2 –7.743 29 3380 152 140

3,150 11,473 17,199

16.5 7.5 4.074 59 5496 92 9393 80 7898 99 9888 85 8172 70 6096 93 89

29.029.7

26 26 26

16.6 22.6 22.311.7 10.3 11.43.5 4.1 4.40.4 18.4 14.40.1 1.1 2.00.0 0.0 0.00.5 1.1 0.71.2 0.5 0.46.2 –4.9 –2.2

Turkey

Green08 0424.indd 210 4/24/08 1:51:00 PM







650 4,815 2,03846.6 63.8 47.3

2.0 0.2 3.01.8 0.1 1.1

70 28 4279.5 10.9 26.3

.. 400 2,057113 129 531

8.8 38.3 26.50.0 –0.0 0.14.2 7.0 12.842144

..3

2.0

.. 3.3 3.63,381 2,826 1,216

0.0 2.2 12.81,731 3,633 1,502100.0 66.1 78.6

0.0 17.5 16.8

.. 0.8 0.88.7 7.1 3.4

30.4 –30.2 71.156 29 69

.. 152 21

290 11,473 5,769

1,760.7 7.5 7.398 59 7572 92 8154 80 7193 99 9362 85 5550 70 3977 93 76

1.03.251 26 36

.. 22.6 41.411.0 10.3 10.4

.. 4.1 2.5

.. 18.4 11.10.0 1.1 1.1

.. 0.0 0.02.9 1.1 1.21.0 0.5 1.1

.. –4.9 18.9

Country data

Europe & Central

Asia group



Turkmenistan

Green08 0424.indd 211 4/24/08 1:51:00 PM







300 829 64912.7 35.8 30.44.1 4.1 3.13.2 2.6 2.0

64 44 450.1 3.5 24.011 .. ..

469 351 544

18.4 26.5 23.92.0 0.7 0.6

32.6 11.3 9.91,375

1314,900

383.3

.. 2.7 3.8

.. 681 486

.. 56.3 41.7

.. 542 391

.. 76.1 72.4

.. 20.1 24.8

0.08 0.57 0.530.07 0.92 0.90

124.3 46.3 55.712 60 74

.. .. 8

1,347 5,093 3,077

0.8 3.1 18.940 87 8960 56 7556 42 6987 80 8843 37 3841 28 2854 53 60

22.019.6134 157 112

14.7 19.4 30.57.7 10.7 9.04.0 3.8 3.40.0 18.7 9.40.0 2.3 1.34.5 0.4 0.60.2 0.6 1.0

.. 0.4 0.76.3 –10.0 11.9

Country data


Low-income group


Uganda

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Country data

Europe & Central

Asia group

Lower middle-income groupv

1,940 4,815 2,03868.0 63.8 47.3–0.5 0.2 3.0–0.6 0.1 1.1

71 28 426.6 10.9 26.3

186 400 2,05747 129 531

16.5 38.3 26.5–0.2 –0.0 0.13.3 7.0 12.8

44558

5,1001

0.4

1.8 3.3 3.63,041 2,826 1,216

0.2 2.2 12.83,246 3,633 1,502

45.6 66.1 78.66.7 17.5 16.8

1.3 0.8 0.86.9 7.1 3.4

–51.8 –30.2 71.123 29 69

118 152 21

1,127 11,473 5,769

70.7 7.5 7.352 59 7596 92 8191 80 7199 99 9396 85 5593 70 3998 93 76

..

..24 26 36

23.2 22.6 41.410.6 10.3 10.44.4 4.1 2.59.7 18.4 11.10.0 1.1 1.10.0 0.0 0.02.8 1.1 1.20.5 0.5 1.14.1 –4.9 18.9

Ukraine

Green08 0424.indd 213 4/24/08 1:51:00 PM








26,210 36,60876.7 77.65.3 1.15.5 0.7

7 3629.9 11.0

2,322 1,1881,494 325

3.7 29.5–1.6 –0.10.2 13.0

29827

..

..0.2

2.9 6.011,436 5,498

0.0 3.213,708 9,760100.0 62.5

0.0 11.5

1.2 0.437.8 13.2

172.7 22.4135 27228 467

49 9,579

1,150.0 10.268 42

100 99100 98100 100

98 10095 ..98 100

..

..8 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group

United Arab Emirates

Green08 0424.indd 214 4/24/08 1:51:00 PM







40,560 36,60889.8 77.6

0.4 1.10.3 0.7

70 363.0 11.0

2,898 1,188108 325

11.8 29.5–0.6 –0.125.0 13.0660

381,623

132.1

8.1 6.03,884 5,498

1.7 3.26,253 9,760

74.2 62.51.2 11.5

0.3 0.49.8 13.21.3 22.416 27

457 467

2,408 9,579

6.6 10.23 42

100 99100 98100 100

.. 100

.. ..

.. 100

..

..6 7

14.2 19.910.2 13.05.3 4.72.2 1.50.0 0.20.0 0.00.2 0.30.0 0.36.9 9.3

Country data

High-income group


United Kingdom

Green08 0424.indd 215 4/24/08 1:51:00 PM







44,710 36,60881.1 77.61.6 1.11.1 0.7

45 3612.5 11.0

1,105 1,18833 325

33.1 29.5–0.1 –0.116.3 13.0

1,356937

19,473242

90.3

5.3 6.07,893 5,498

3.2 3.213,648 9,760

72.1 62.56.4 11.5

0.5 0.420.6 13.225.5 22.4

22 27461 467

9,443 9,579

17.1 10.241 42

100 99100 98100 100100 100100 ..100 100

..

..8 7

14.1 19.912.2 13.0

4.8 4.71.8 1.50.1 0.20.0 0.00.3 0.30.3 0.34.1 9.3


Country data

High-income group

United States

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5,310 4,785 5,91392.1 77.7 75.00.6 2.1 1.40.4 1.5 0.9

85 36 3014.9 12.5 9.0

1,356 1,003 67219 241 112

8.6 45.4 38.8–3.5 0.5 0.20.4 19.7 10.9

53266

2,2781

1.4

10.6 7.0 4.6875 1,198 2,24815.4 14.8 6.5

2,007 1,715 3,13112.5 37.0 61.987.0 57.6 27.8

0.2 0.3 0.61.7 2.5 5.6

40.0 29.6 –7.7161 37 33151 115 140

17,848 24,471 17,199

5.3 2.0 4.096 71 54

100 91 93100 73 78100 96 98100 77 8199 49 60

100 86 89

..

..12 26 26

14.3 22.4 22.312.1 12.1 11.42.6 4.4 4.40.0 9.1 14.40.0 3.0 2.00.2 0.0 0.00.2 0.4 0.71.9 0.4 0.42.6 1.8 –2.2

Country data


group



Uruguay

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610 4,815 64936.7 63.8 30.4

1.1 0.2 3.11.6 0.1 2.0

66 28 4584.9 10.9 24.0

.. 400 ..352 129 544

7.7 38.3 23.9–0.5 –0.0 0.64.8 7.0 9.9

43433

4,80015

1.2

1.1 3.3 3.81,798 2,826 486

0.0 2.2 41.71,659 3,633 391

87.2 66.1 72.412.8 17.5 24.8

2.8 0.8 0.55.3 7.1 0.96.6 –30.2 55.761 29 74

.. 152 8

623 11,473 3,077

357.9 7.5 18.993 59 8982 92 7575 80 6995 99 8867 85 3861 70 2878 93 60

..5.343 26 112

36.0 22.6 30.58.7 10.3 9.09.4 4.1 3.4

.. 18.4 9.40.0 1.1 1.30.0 0.0 0.66.3 1.1 1.00.9 0.5 0.7

.. –4.9 11.9


Country data

Europe & Central

Asia group

Low-income group

Uzbekistan

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Population (thousands) 221 Land area (1,000 sq. km) 12 GDP ($ billions) 388

Country data

East Asia & Pacific

group


1,690 1,856 2,03823.9 42.4 47.3

4.0 3.5 3.02.4 1.1 1.1

12 51 42.. .. 26.3.. .. 2,057

824 547 531

36.1 28.4 26.50.0 0.1 0.11.5 12.1 12.8

13025

87010

2.2

.. 3.3 3.6

.. 1,182 1,216

.. 15.5 12.8

.. 1,492 1,502

.. 81.9 78.6

.. 15.6 16.8

0.1 0.9 0.80.4 3.3 3.4

33.3 97.7 71.120 73 69

.. 14 21

.. 5,022 5,769

.. 11.1 7.3

.. 74 7560 79 8152 70 7186 92 9350 51 5542 36 3978 72 76

..

..26 29 36

.. 47.2 41.410.9 10.3 10.45.9 2.1 2.50.0 7.1 11.10.0 0.9 1.10.0 0.0 0.00.2 1.2 1.2

.. 1.3 1.1

.. 28.5 18.9

Vanuatu

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6,070 4,785 5,91393.7 77.7 75.0

2.6 2.1 1.42.0 1.5 0.9

25 36 3016.9 12.5 9.0

1,655 1,003 67266 241 112

54.1 45.4 38.80.6 0.5 0.2

73.1 19.7 10.91,745

16621,073

6826.8

4.3 7.0 4.62,293 1,198 2,248

0.9 14.8 6.52,848 1,715 3,131

26.1 37.0 61.973.9 57.6 27.8

0.7 0.3 0.66.6 2.5 5.6

47.0 29.6 –7.711 37 3394 115 140

27,185 24,471 17,199

1.2 2.0 4.047 71 5483 91 9370 73 7885 96 9868 77 8148 49 6071 86 89

9.0..

21 26 26

39.8 22.4 22.312.0 12.1 11.4

4.4 4.4 4.439.8 9.1 14.4

1.1 3.0 2.00.0 0.0 0.00.7 0.4 0.70.0 0.4 0.4

–9.5 1.8 –2.2

Country data


group



Venezuela, RB

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Country data

East Asia & Pacific

group

Low-income group

700 1,856 64926.9 42.4 30.4

3.3 3.5 3.11.5 1.1 2.0

31 51 4533.7 .. 24.0

3,007 .. ..927 547 544

41.7 28.4 23.9–2.2 0.1 0.64.4 12.1 9.9

1,116152

10,50014611.7

3.5 3.3 3.8617 1,182 486

46.7 15.5 41.7573 1,492 391

59.9 81.9 72.440.1 15.6 24.8

0.6 0.9 0.51.2 3.3 0.9

361.0 97.7 55.761 73 74

.. 14 8

4,410 5,022 3,077

19.5 11.1 18.968 74 8985 79 7580 70 6999 92 8861 51 3850 36 2892 72 60

20.011.3

17 29 112

37.7 47.2 30.59.0 10.3 9.02.8 2.1 3.4

17.9 7.1 9.40.1 0.9 1.30.4 0.0 0.61.1 1.2 1.00.6 1.3 0.7

11.6 28.5 11.9

Vietnam

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.. 36,60894.4 77.6

0.7 1.10.3 0.7

17 36.. 11.0.. 1,188

315 325

28.6 29.51.2 –0.10.3 13.0

23422

..11

0.3

.. 6.0

.. 5,498

.. 3.2

.. 9,760

.. 62.5

.. 11.5

.. 0.4124.3 13.260.2 22.4

39 27.. 467

.. 9,579

.. 10.2

.. 42

.. 99

.. 98

.. 100

.. 100

.. ..

.. 100

..

..

.. 7

.. 19.9

.. 13.0

.. 4.7

.. 1.5

.. 0.2

.. 0.0

.. 0.3

.. 0.3

.. 9.3

Country data

High-income group


Virgin Islands (U.S.)

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Country data

Middle East &

N. Africa group


1,230 2,507 2,03871.7 57.5 47.34.4 2.6 3.04.1 2.0 1.1

62 22 426.8 33.8 26.3

.. 1,050 2,057962 672 531

1.5 2.4 26.50.0 –0.4 0.1

.. 3.4 12.8

..

..

..

..

..

.. 4.7 3.6

.. 1,270 1,216

.. 1.1 12.8

.. 1,358 1,502

.. 92.5 78.6

.. 7.4 16.8

.. 0.7 0.8

.. 3.9 3.4

.. 101.1 71.1

.. 77 6929 34 21

.. 757 5,769

.. 105.0 7.3

.. 89 7592 89 8188 81 7194 96 9373 76 5561 58 3978 92 76

17.0..

22 42 36

10.0 .. 41.49.1 10.9 10.4

.. 4.6 2.50.0 40.0 11.10.0 0.3 1.1

.. 0.1 0.0

.. 1.1 1.2

.. 0.6 1.1

.. .. 18.9

West Bank and Gaza

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760 2,507 64927.7 57.5 30.45.3 2.6 3.13.6 2.0 2.0

34 22 4533.0 33.8 24.0

18 1,050 ..1,012 672 544

1.0 2.4 23.90.0 –0.4 0.60.0 3.4 9.9

45947

1,6501593.4

6.9 4.7 3.8319 1,270 4861.1 1.1 41.7174 1,358 391

100.0 92.5 72.40.0 7.4 24.8

0.5 0.7 0.51.0 3.9 0.9

120.1 101.1 55.782 77 7419 34 8

194 757 3,077

161.7 105.0 18.995 89 8967 89 7565 81 6971 96 8843 76 3828 58 2886 92 60

24.027.5100 42 112

.. .. 30.59.8 10.9 9.0

.. 4.6 3.442.8 40.0 9.4

0.0 0.3 1.30.0 0.1 0.60.7 1.1 1.00.9 0.6 0.7

.. .. 11.9


Country data

Middle East &

N. Africa group

Low-income group

Yemen, Rep.

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Country data


Low-income group

630 829 64935.1 35.8 30.4

1.6 4.1 3.12.3 2.6 2.0

35 44 452.9 3.5 24.0

.. .. ..142 351 544

57.1 26.5 23.91.0 0.7 0.6

42.0 11.3 9.91,025

384,747

85.0

1.9 2.7 3.8621 681 48678.7 56.3 41.7721 542 3910.6 76.1 72.4

99.4 20.1 24.8

0.2 0.6 0.50.2 0.9 0.9

–6.4 46.3 55.744 60 74

.. .. 8

6,987 5,093 3,077

2.2 3.1 18.976 87 8958 56 7540 42 6990 80 8855 37 3852 28 2859 53 60

15.021.2182 157 112

25.3 19.4 30.510.1 10.7 9.02.2 3.8 3.40.1 18.7 9.4

31.0 2.3 1.30.0 0.4 0.60.2 0.6 1.00.7 0.4 0.7

–14.4 –10.0 11.9

Zambia

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Country data


Low-income group


340 829 64936.4 35.8 30.4

2.9 4.1 3.11.5 2.6 2.0

40 44 455.2 3.5 24.0

339 .. ..261 351 544

45.3 26.5 23.91.6 0.7 0.6

14.9 11.3 9.9883

354,440

172.1

0.2 2.7 3.8741 681 486

61.9 56.3 41.7953 542 391

43.2 76.1 72.456.8 20.1 24.8

4.3 0.6 0.50.8 0.9 0.9

–36.6 46.3 55.727 60 7445 .. 8

938 5,093 3,077

34.2 3.1 18.979 87 8981 56 7572 42 6998 80 8853 37 3847 28 2863 53 60

15.813.9105 157 112

.. 19.4 30.5

.. 10.7 9.06.9 3.8 3.4

.. 18.7 9.4

.. 2.3 1.3

.. 0.4 0.6

.. 0.6 1.00.1 0.4 0.7

.. –10.0 11.9

Zimbabwe

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Access to improved sanitation is the percentage of population with adequate access to excreta disposal facilities (private or shared, but not public) 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 2004)

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 a piped water into a dwelling, plot, or yard; public tap or standpipe; tubewell 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 2004)

Acute respiratory infection prevalence is the percentage of children under age five with acute respiratory infection in the two weeks prior to the survey. (United Nations Children’s Fund; data are for the most recent year available during 1998–2005)

Adjusted net savings equal gross savings minus consumption of fixed capi-tal, plus education expenditures, minus energy depletion, mineral depletion, net forest depletion, and particulate emission and carbon dioxide damage. (World Bank; data are for 2006)

Agricultural land is arable land, land under permanent crops, and perma-nent pastures. Arable land includes land defined by the Food and Agriculture Organization 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, coffee, 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; data are for 2005)

Animal species, threatened, include the number of birds and mammal species classified by the World Conservation Union as endangered, vul-nerable, rare, indeterminate, out of danger, or insufficiently known. (World Conservation Monitoring Centre and World Conservation Union; data are for 2004)

Animal species, total, refer to mammals (excluding whales and porpoises) and birds included within a country’s breeding or wintering ranges. (World Conservation Monitoring Centre and World Conservation Union; data are for 2004)

Glossary

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GlossaryCarbon dioxide (CO2) damage is estimated at $20 per ton of carbon (the unit damage in 1995 U.S. dollars) times the number of tons of carbon emit-ted. (World Bank estimates; data are for 2006)

Carbon dioxide (CO2) emissions growth is the cumulative percentage change in emissions stemming from the burning of fossil fuels and the manufacture of cement. Emissions include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. (Carbon Dioxide Information Analysis Center; data are for 1990–2004)

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 2004)

Carbon dioxide (CO2) emissions per unit of GDP are carbon dioxide emissions in kilograms per unit 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 2004)

Consumption of fixed capital is the replacement value of capital used up in the process of production. (United Nations; data are extrapolated to 2006 from the most recent year available)

Deforestation is the permanent conversion of natural forest area to other uses, including shifting cultivation, permanent agriculture, ranching, settle-ments, and infrastructure development. Deforested areas do not include areas logged but intended for regeneration or areas degraded by fuelwood gathering, acid precipitation, or forest fires. Negative numbers indicate an increase in forest areas. (Food and Agriculture Organization; data are for 1990–2005)

Diarrhea prevalence is the percentage of children under age five who had diarrhea in the two weeks prior to the survey. (United Nations Children’s Fund; data are for the most recent year available during 1998–2005)

Education expenditure is public current operating expenditures in edu-cation, including wages and salaries and excluding capital investments in buildings and equipment. (United Nations; data are extrapolated to 2006 from the most recent year available)

Electricity generated using fossil fuel is use of coal, oil, and gas as a percentage of total inputs to the generation of electricity. (International Energy Agency; data are for 2005)

Electricity generated by hydropower is use of hydropower as a percent-age of total inputs to the generation of electricity. (International Energy Agency; data are for 2005)

Electric power consumption per capita is the production of power plants and combined heat and power plants, minus transmission, distribution, and transformation losses and own use by heat and power plants plus imports

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minus exports divided by midyear population. (International Energy Agency; data are for 2005)

Energy depletion is the product of unit resource rents and the physical quantities of energy extracted. It covers crude oil, natural gas, and coal. (The wide range of data sources and methods used to estimate resource depletion are described in World Bank 2006; data are for 2006)

Energy from biomass products and waste is energy from solid biomass, liquid biomass, biogas, industrial waste, and municipal waste as a percentage of total energy use. (International Energy Agency; data are for 2005)

Energy use per capita refers to apparent consumption, 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 2005)

Fertilizer consumption is the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). The time reference for fertil-izer consumption is the crop year. (Food and Agriculture Organization; data are for 2005)

Forest area is land under natural or planted stands of trees, whether produc-tive or not. (Food and Agriculture Organization; data are for 2005)

Freshwater withdrawal, agriculture, is withdrawals for irrigation and livestock production as a percentage of total freshwater withdrawal. (World Resources Institute; data are for various years; for details see World Development Indicators 2008, Primary data documentation)

Freshwater withdrawal, total, is total water withdrawal, excluding evapora-tion 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 significant water reuse. (Food and Agriculture Organization and World Resources Institute; data are for various years; for details see World Development Indicators 2008, Primary data documentation.)

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 2006)

GDP per unit of energy use is 2005 gross domestic product (GDP) in purchasing power parity (PPP) terms per kilogram of oil equivalent of energy

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Glossaryuse. PPP GDP is GDP 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 and World Bank; data are for 2005)

GEF benefits index for biodiversity is a composite index of relative bio-diversity potential for each country developed by the Global Environment Facility, based on the species represented in each country, their threat status, and the diversity of habitat types in each country. The index shown in the tables has been normalized so that values run from 0 (no biodiversity potential) to 100 (maximum biodiversity potential) (World Bank; estimates are for 2005)

GNI per capita is gross national income (GNI) divided by midyear population. GNI is gross domestic product plus net receipts of primary income (employee compensation and property income) from abroad. GNI per capita is in cur-rent U.S. dollars, converted using the World Bank Atlas method (see World Development Indicators 2008, Statistical methods). (World Bank, Organization for Economic Co-operation and Development, and United Nations; data are for 2006)

Gross savings are the difference between gross national income and public and private consumption plus net current transfers. (World Bank, Organization for Economic Co-operation and Development, and United Nations; data are for 2006)

Higher plant species, threatened, are the number of species classified by the World Conservation Union as endangered, vulnerable, rare, indetermi-nate, out of danger, or insufficiently known. (World Conservation Monitoring Centre and World Conservation Union; data are for 2004)

Higher plant species, total known, are native vascular plant species. (World Conservation Monitoring Centre and World Conservation Union; data are for 2004)

Internal freshwater resources per capita are internal renewable resources, which include flows of rivers and groundwater from rainfall in the country but excludes river flows from other countries, divided by midyear population. (Food and Agriculture Organization, World Resources Institute, and World Bank; estimates are for 2005)

Irrigated land is area purposely provided with water, including land irrigated by controlled flooding. Cropland refers to arable land and land used for per-manent crops. (Food and Agriculture Organization; data are for 2005)

Land area is a country’s total land area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes. (Food and Agriculture Organization; data are for 2006)

Mineral depletion is the product of unit resource rents and the physical quantities of minerals extracted. It covers bauxite, copper, iron, lead, nickel, phosphate, tin, gold, silver, and zinc. (The wide range of data sources and

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methods used to estimate resource depletion are described in World Bank 2006; data are for 2006)

Nationally protected area is totally or partially protected areas of at least 1,000 hectares that are designated as national parks, natural monuments, nature reserves or wildlife sanctuaries; protected landscapes and seascapes; and scientific reserves. It includes World Conservation Union–protected area categories I–VI. (World Conservation Monitoring Centre; data are for the most recent year available)

Net forest depletion is the product of unit resource rents and the excess of roundwood harvest over natural growth. If growth exceeds harvest, this figure is zero. (Food and Agriculture Organization and World Bank estimates of natural growth; data are for 2006)

Particulate emission damage is calculated as the willingness to pay to reduce the risk of illness and death attributable to particulate emissions. (World Bank estimates; data are for 2005)

Particulate matter is fine suspended particulates of less than 10 microns in diameter that are capable of penetrating deep into the respiratory tract and causing damage. The indicator is the population-weighted average of all cities in the country with a population greater than 100,000. (World Bank estimates; data are for 2005)

Passenger cars are road motor vehicles, other than two-wheelers, intended for the carriage of passengers and designed to seat no more than nine people including the driver. (International Road Federation; data are for 2005)

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. (United Nations; data are midyear estimates for 2006)

Population density, rural, is rural population divided by arable land area. Rural population is estimated as the difference between the total population and urban population. (See urban population; data are for 2006)

Population growth is the exponential change in population for the period indicated. (United Nations; data are for 1990–2006)

Under-five mortality rate is the probability that a newborn baby will die before reaching age five if subject to current age-specific mortality rates. (United Nations and United Nations Children’s Fund; data are for 2005)

Urban population is the share of the midyear population living in areas defined as urban in each country (United Nations; data are for 2006)

Urban population growth is the exponential change in urban population for the period indicated. (United Nations; data are for 1990–2006)

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ReferencesBuys, Piet, Uwe Deichmann, Craig Meisner, Thao Ton That, and David

Wheeler. 2007. “Country Stakes in Climate Negotiations: Two Dimensions of Vulnerability.” Policy Research Working Paper 4300. World Bank, Washington, D.C.

Cline, W. 2007. Global Warming and Agriculture: Impact Estimates by Country.

Washington, D.C.: Center for Global Development.

Dasgupta, Susmita, Benoit Laplante, Craig Meisner, David Wheeler, and David Jianping Yan. 2007. “The Impact of Sea Level Rise on Developing Countries: A Comparative Analysis.” Policy Research Working Paper 4136. World Bank, Washington, D.C.

IEA (International Energy Agency). 2007. World Energy Outlook 2007. Paris.

McMichael, A. J., D. Campbell-Lendrum, S. Kovats, S. Edwards, P. Wilkinson, T. Wilson, and others. 2004. “Global Climate Change.” In M. J. Ezzati and others, eds., Comparative Quantification of Health Risks: Global and

Regional Burden of Disease Due to Selected Major Risk Factors. Geneva: World Health Organization.

World Bank. 2006. Where Is the Wealth of Nations? Washington, D.C.: World Bank.

WRI (World Resources Institute). 2008. Climate Analysis Indicators Tool, version 5.0. Washington, D.C.

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1818 H Street N.W.

Washington, D.C. 20433 USA

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AFGHANISTAN ALBANIA ALGERIA AMERICAN SAMOA ANDORRA ANGOLA ANTIGUA AND BARBUDA ARGENTINA ARMENIA ARUBA AUSTRALIA AUSTRIA AZERBAIJAN THE BAHAMAS BAHRAIN BANGLADESH BARBADOS BELARUS BELGIUM BELIZE BENIN BERMUDA BHUTAN BOLIVIA BOSNIA AND HERZEGOVINA BOTSWANA BRAZIL BRUNEI DARUSSALAM BULGARIA BURKINA FASO BURUNDI CAMBODIA CAMEROON CANADA CAPE VERDE CAYMAN ISLANDS CENTRAL AFRICAN REPUBLIC CHAD CHANNEL ISLANDS CHILE CHINA COLOMBIA COMOROS DEMOCRATIC REPUBLIC OF CONGO REPUBLIC OF CONGO COSTA RICA CÔTE D’IVOIRE CROATIA CUBA CYPRUS CZECH REPUBLIC DENMARK DJIBOUTI DOMINICA DOMINICAN REPUBLIC ECUADOR ARAB REPUBLIC OF EGYPT EL SALVADOR EQUATORIAL GUINEA ERITREA ESTONIA ETHIOPIA FAEROE ISLANDS FIJI FINLAND FRANCE FRENCH POLYNESIA GABON THE GAMBIA GEORGIA GERMANY GHANA GREECE GREENLAND GRENADA GUAM GUATEMALA GUINEA GUINEA-BISSAU GUYANA HAITI HONDURAS HONG KONG, CHINA HUNGARY ICELAND INDIA INDONESIA ISLAMIC REPUBLIC OF IRAN IRAQ IRELAND ISLE OF MAN ISRAEL ITALY JAMAICA JAPAN JORDAN KAZAKHSTAN KENYA KIRIBATI DEMOCRATIC REPUBLIC OF KOREA REPUBLIC OF KOREA KUWAIT KYRGYZ REPUBLIC LAO PEOPLE’S DEMOCRATIC REPUBLIC LATVIA LEBANON LESOTHO LIBERIA LIBYA LIECHTENSTEIN LITHUANIA LUXEMBOURG MACAO, CHINA FORMER YUGOSLAV REPUBLIC OF MACEDONIA MADAGASCAR MALAWI MALAYSIA MALDIVES MALI MALTA MARSHALL ISLANDS MAURITANIA MAURITIUS MAYOTTE MEXICO FEDERATED STATES OF MICRONESIA MOLDOVA MONACO MONGOLIA MONTENEGRO MOROCCO MOZAMBIQUE MYANMAR NAMIBIA NEPAL NETHERLANDS NETHERLANDS ANTILLES NEW CALEDONIA NEW ZEALAND NICARAGUA NIGER NIGERIA NORTHERN MARIANA ISLANDS NORWAY OMAN PAKISTAN PALAU PANAMA PAPUA NEW GUINEA PARAGUAY PERU PHILIPPINES POLAND PORTUGAL PUERTO RICO QATAR ROMANIA RUSSIAN FEDERATION RWANDA SAMOA SAN MARINO SÃO TOMÉ AND PRINCIPE SAUDI ARABIA SENEGAL SERBIA SEYCHELLES SIERRA LEONE SINGAPORE SLOVAK REPUBLIC SLOVENIA SOLOMON ISLANDS SOMALIA SOUTH AFRICA SPAIN SRI LANKA ST. KITTS AND NEVIS ST. LUCIA ST. VINCENT & GRENADINES SUDAN SURINAME SWAZILAND SWEDEN SWITZERLAND SYRIAN ARAB REPUBLIC TAJIKISTAN TANZANIA THAILAND TIMOR-LESTE TOGO TONGA TRINIDAD AND TOBAGO TUNISIA TURKEY TURKMENISTAN UGANDA UKRAINE UNITED ARAB EMIRATES UNITED KINGDOM UNITED STATES URUGUAY UZBEKISTAN VANUATU REPÚBLICA BOLIVIARANA DE VENEZUELA VIETNAM U.S. VIRGIN ISLANDS WEST BANK AND GAZA REPUBLIC OF YEMEN ZAMBIA ZIMBABWE

From World Development Indicators

Agriculture

Forests and biodiversity

Energy

Emissions and pollution

Water and sanitation

Environment and health

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ISBN 978-0-8213-7399-6

SKU 17399

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