ISBN 978-0-8213-9814-2 1818 H Street N.W. Green Data Book...

13AFGHANISTAN 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 CURACAO 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 SAR, CHINA HUNGARY ICELAND INDIA INDONESIA ISLAMIC REPUBLIC OF IRAN IRAQ IRELAND ISLE OF MAN ISRAEL ITALY JAMAICA JAPAN JORDAN KAZAKHSTAN KENYA KIRIBATI DEMOCRATIC PEOPLE’S REPUBLIC OF KOREA REPUBLIC OF KOREA KOSOVO KUWAIT KYRGYZ REPUBLIC LAO PEOPLE’S DEMOCRATIC REPUBLIC LATVIA LEBANON LESOTHO LIBERIA LIBYA LIECHTENSTEIN LITHUANIA LUXEMBOURG MACAO SAR, CHINA FORMER YUGOSLAV REPUBLIC OF MACEDONIA MADAGASCAR MALAWI MALAYSIA MALDIVES MALI MALTA MARSHALL ISLANDS MAURITANIA MAURITIUS MEXICO FEDERATED STATES OF MICRONESIA MOLDOVA MONACO MONGOLIA MONTENEGRO MOROCCO MOZAMBIQUE MYANMAR NAMIBIA NEPAL NETHERLANDS 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 PRÍNCIPE SAUDI ARABIA SENEGAL SERBIA SEYCHELLES SIERRA LEONE SINGAPORE SINT MAARTEN SLOVAK REPUBLIC SLOVENIA SOLOMON ISLANDS SOMALIA SOUTH AFRICA SOUTH SUDAN SPAIN SRI LANKA ST. KITTS AND NEVIS ST. LUCIA ST. MARTIN ST. VINCENT AND GRENADINES SUDAN SURINAME SWAZILAND SWEDEN SWITZERLAND SYRIAN ARAB REPUBLIC TAJIKISTAN TANZANIA THAILAND TIMOR-LESTE TOGO TONGA TRINIDAD AND TOBAGO TUNISIA TURKEY TURKMENISTAN TURKS AND CAICOS ISLANDS TUVALU UGANDA UKRAINE UNITED ARAB EMIRATES UNITED KINGDOM UNITED STATES URUGUAY UZBEKISTAN VANUATU REPÚBLICA BOLIVARIANA DE VENEZUELA VIETNAM U.S. VIRGIN ISLANDS WEST BANK AND GAZA REPUBLIC OF YEMEN ZAMBIA ZIMBABWE

From World Development Indicators

The Little Green Data Book


1818 H Street N.W.

Washington, D.C. 20433 USA

Telephone: 202 473 1000

Fax: 202 477 6391

Web site: data.worldbank.org

Email: [email protected]

Agriculture

Forests and biodiversity

Oceans

Energy and emissions

Water and sanitation

Environment and health

National accounting aggregates

SKU 19814

ISBN 978-0-8213-9814-2

13

2013 THE LITTLE GREENDATA BOOK

© 2013 International Bank for Reconstruction and Development / The World Bank1818 H Street NW, Washington DC 20433Telephone: 202-473-1000; Internet: www.worldbank.org

Some rights reserved1 2 3 4 16 15 14 13

This work is a product of the staff of The World Bank with external contributions. Note that The World Bank does not necessarily own each component of the content included in the work. The World Bank therefore does not warrant that the use of the content contained in the work will not infringe on the rights of third parties. The risk of claims resulting from such infringement rests solely with you.

The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the govern-ments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries.

Nothing herein shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of The World Bank, all of which are specifically reserved.

Rights and Permissions

This work is available under the Creative Commons Attribution 3.0 Unported license (CC BY 3.0) http://creativecommons.org/licenses/by/3.0. Under the Creative Commons Attribution license, you are free to copy, distribute, transmit, and adapt this work, including for commercial purposes, under the following conditions:

Attribution—Please cite the work as follows: World Bank. 2013. The Little Green Data Book 2013. Washington, DC: World Bank. doi: 10.1596/978-0-8213-9814-2. License: Creative Commons Attribution CC BY 3.0

Translations—If you create a translation of this work, please add the following dis-claimer along with the attribution: This translation was not created by The World Bank and should not be considered an official World Bank translation. The World Bank shall not be liable for any content or error in this translation.

All queries on rights and licenses should be addressed to the Office of the Publisher, The World Bank, 1818 H Street NW, Washington, DC 20433, USA; fax: 202-522-2625; e-mail: [email protected].

ISBN (paper): 978-0-8213-9814-2ISBN (electronic): 978-0-8213-9815-9DOI: 10.1596/978-0-8213-9814-2

The Little Green Data Book 2013 is a product of the Development Data Group of the Development Economics Vice Presidency and the Environment Department of the World Bank.

Design by Communications Development Incorporated, Washington, DC.

iiiThe Little Green Data Book 2013

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

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

Data notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .vii

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

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

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

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

Notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232

Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239

Contents

iv 2013 The Little Green Data Book

The Little Green Data Book 2013 is based on World Development Indicators

2013 and its online database . 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 2013.

The Little Green Data Book 2013 is the result of close collaboration between the staff of the Development Data Group of the Development Economics Vice Presidency and the Agriculture and Environmental Services Department of the Sustainable Development Vice Presidency . Liu Cui, Mahyar Eshragh-Tabary, Sonu Jain, Glenn-Marie Lange, Esther Naikal, Urvashi Narain, William Prince, and Jomo Tariku contributed to its preparation . Azita Amjadi and Alison Kwong coordinated the production of the book . Barton Matheson Willse & Worthington typeset the book . The work was carried out under the direction of Shaida Badiee and Juergen Voegele . Staff from The World Bank’s Office of the Publisher oversaw publication and dissemination of the book .

Acknowledgments

vThe Little Green Data Book 2013

ForewordWelcome to the Little Green Data Book 2013. For 13 years, we have been taking the pulse of development and environment using more than 50 indicators for more than 200 countries . Today, we believe that one of the indicators—Adjusted Net Savings—is critical to the post-2015 development dialogue .

When leaders from around the world gathered in Rio de Janeiro in June 2012 for the United Nations Conference on Environment and Development (Rio +20), one of the main outcomes was to launch a process to develop Sustainable Development Goals (SDGs) . These goals could define the post-2015 agenda, building on the Millennium Development Goals . Issues currently being discussed for SDGs cover the three pillars of sustainability—economic, social, and environmental .

Yet, many countries do not have the information they need on the state of their environment and natural resources—whether in terms of GDP or from other conventional indicators . Increasingly, they need a new generation of metrics to monitor sustainable development at the macroeconomic level .

One of the key indicators in the Little Green Data Book, Adjusted Net Savings (ANS), allows countries to do just that . Also known as genuine savings, ANS shows whether a country is on the path to sustainable development (see

box on regional Adjusted Net Saving Rate on page vi) . It monitors whether depletion of natural capital, such as minerals or forests, is compensated for by investment in other assets, such as human capital or infrastructure . A positive ANS indicates that a country is adding to its overall wealth and that economic growth is on a sustainable path . In resource-rich countries in particular, macroeconomic indicators such as ANS can be a useful complement to GDP, providing a more comprehensive lens on the long-term sustainability of economic growth .

The World Bank has linked this approach to our core mission—ending poverty and boosting shared prosperity . It also allows us to monitor our commitment to intergenerational equity so that we are not using our resources today in a way that compromises the quality of life and aspirations of our children tomorrow .

The Development Committee, a Joint Ministerial Committee of the Boards of Governors of the World Bank and the International Monetary Fund, at its April 2013 meeting discussed a new paper that defines the direction of the World Bank Group . “We have committed, working closely with our development partners, to moving beyond a reliance on GDP and promoting wealth and natural capital accounting and making progress in the development of measures of genuine savings . . .” says the Development Committee paper, A Common Vision for the World Bank Group.

As we move toward 2015 and the deadline for the implementation of the UN’s Millennium Development Goals approaches, we hope policy makers will find indicators like the ANS useful for development and implementation of their post-2015 development agendas .

vi 2013 The Little Green Data Book

Foreword

The Little Green Data Book is a result of close collaboration between the World Bank’s Development Data Group within the Development Economics Vice Presidency and the Agriculture and Environmental Services Department of the Sustainable Development Vice Presidency . We welcome suggestions on how to improve future editions and make them even more useful .

Juergen Voegle Shaida BadieeDirector DirectorAgriculture and Environmental Services Development Data Group

Box 1. Adjusted net savings paths diverge

1980

35

30

25

20

15

10

5

0

–5

–0

1990

East Asia & Paci cLatin America & Caribbean

South AsiaEurope & Central Asia

Sub-Saharan Africa

perc

ent o

f GNI

2000 2010

Adjusted Net Saving Rate (share of GNI, %)

Source: World Bank, World Development Indicators 2013.

Savings lay the basis for building wealth and future growth . Adjusted net savings (ANS) measures the real difference between production and consump-tion, taking into account investments in human capital, depreciation of fixed capital, depletion of natural resources, and damages caused by pollution . The East Asia and Pacific region has maintained the highest savings rate among developing regions since 1980, driven largely by China . South Asia has displayed consistently strong savings rates, fluctuating between 10 and 20 percent since 1985, with India dominating the aggregate figure . Over the past decades, Latin America’s rates have remained fairly constant, while Eastern Europe and Central Asia are more variable . In Sub-Saharan Africa, ANS has not only declined in recent years but dipped below zero, suggesting unsustainable development and declining wealth .

viiThe Little Green Data Book 2013

The data in this book are for the most recent year available as noted in the glossary .

• Growth rates are calculated as annual averages and represented as percentages .

• Regional aggregates include data for low- and middle-income economies only .

• Figures in italics indicate data for years or periods other than those specified in the glossary.

Symbols used:

.. indicates that data are not available or that aggregates cannot

be calculated because of missing data .

0 or 0 .0 indicates zero or small enough that the number would round

to zero at the displayed number of decimal places .

$ indicates current U .S . dollars .

Lettered notes on country tables can be found in the notes page . Data are shown for economies with populations greater than 30,000 or for smaller economies if they are members of the World Bank . The term 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 of those 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 see the other books in the World Development Indicators 2013 family of products at data .worldbank .org/products/data-books .

Data notes

1The Little Green Data Book 2013

Regional tablesThe 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

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

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

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

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

Europe and Central Asia

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

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

Yugoslav Republic of Macedonia, Moldova, Montenegro, Romania,

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

Uzbekistan .

Latin America and the Caribbean

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

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

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

Nicaragua, Panama, Paraguay, Peru, St . Lucia, St . Vincent and the

Grenadines, Suriname, Uruguay, República Bolivariana de Venezuela .

Middle East and North Africa

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

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

Bank and Gaza, Republic of Yemen .

South Asia

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

Lanka .

Sub-Saharan Africa

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

Central African Republic, Chad, Comoros, the Democratic Republic

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

The Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia,

Madagascar, Malawi, Mali, Mauritania, Mauritius, Mozambique, Namibia,

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

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

Tanzania, Togo, Uganda, Zambia, Zimbabwe .

GNI per capita, World Bank Atlas method ($)Adjusted net national income per capita ($)Urban population (% of total)Urban population growth (avg. annual %, 1990–2011) AgricultureAgricultural land (% land area)Agricultural irrigated land (% of total agricultural land)Agricultural productivity, value added per worker (2000 $)Cereal yield (kg per hectare) Forests and biodiversityForest area (% land area)Deforestation (avg. annual %, 2000–2010)Terrestrial protected areas (% of total land area)Threatened species, mammalsThreatened species, birdsThreatened species, fishThreatened species, higher plants OceansTotal fisheries production (thousand metric tons)

Capture fisheries growth (avg. annual %, 1990–2011)Aquaculture growth (avg. annual %, 1990–2011)

Marine protected areas (% of territorial waters)Coral reef area (sq. km)Mangroves area (sq. km) Energy and emissionsEnergy 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)CO2 emissions per capita (metric tons) Water and sanitationInternal freshwater resources per capita (cu. m)Total freshwater withdrawal (% 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 healthParticulate matter (urban-pop.-weighted avg., µg/cu. m)Acute resp. infection prevalence (% of children under five)Diarrhea prevalence (% of children under five)Under-five mortality rate (per 1,000 live births) National accounting aggregates—savings, depletion and degradationGross 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 emissions damage (% of GNI)Adjusted net savings (% of GNI)

9,5148,340

52.02.2

37..

7653,708

31.00.1

12.33,0863,7766,286

11,275

178,3230.57.9

10.0284,300150,398

1,8519.9

2,97567.015.9

4.7

6,1159.270888096634679

41....

51

23.113.14.22.80.60.00.40.3

10.0

2 2013 The Little Green Data Book

WorldPopulation (millions) 6,974.2 Land area (1,000 sq. km) 129,710 GDP ($ billions) 70,020.4








4,2483,884

48.63.6

48..

6105,050

29.7-0.415.0

101,2993.49.11.4

137,69056,537

1,52010.9

2,33779.816.5

4.6

4,44610.9

73908497665876

55....

21

49.311.0

2.14.31.70.00.91.1

32.2


Population (millions) 1,974.2 Land area (1,000 sq. km) 15,853 GDP ($ billions) 9,313.0

East Asia & Pacific








7,7346,652

64.70.3

28..

3,3742,740

38.70.07.5

5,790-2.9-0.510.4

..

..

3,0152.0

4,05965.418.8

7.1

12,4986.360969199848187

21....

21

26.112.3

3.69.30.80.00.70.36.2


Population (millions) 408.1 Land area (1,000 sq. km) 22,748 GDP ($ billions) 3,634.9

Europe & Central Asia








8,5747,648

79.12.0

37..

3,4483,838

46.80.4

20.2

19,0090.1

11.813.1

15,10039,997

1,31216.7

1,97339.053.7

2.7

22,8102.068948198795984

28....

19

21.112.2

5.04.51.90.00.20.36.8



Latin America & Caribbean








3,8663,285

58.92.5

23..

2,6272,475

2.4–0.13.9

3,5382.4

13.12.0

5,700217

1,3720.9

1,65892.9

5.44.1

673122.1

86898194888094

59....

32

27.010.84.5

15.20.60.10.60.96.1



Middle East & North Africa








1,3131,20130.9

2.8

55..

5502,959

17.1–0.35.9

13,2192.38.11.7

15,44010,343

51926.755580.614.01.4

1,19751.6

91908896382860

62....

62

33.59.22.82.81.00.60.80.6

21.6



South Asia








1,2581,02236.5

3.8

44..

3341,361

27.80.5

11.7

6,3831.8

16.05.8

17,98027,808

68358.2553

65.218.70.9

4,4553.284614883312342

41....

109

18.410.9

3.710.42.20.50.50.4

–1.2



Sub-Saharan Africa


For operational and analytical purposes the World Bank’s main criterion for classifying economies is gross national income (GNI) per capita . Each economy in The Little Data Book is classified as low income, middle income, or high income . Low- and middle-income economies are sometimes referred to as developing economies . The use of the term is convenient; it is not intended to imply that all economies in the group are experiencing similar development or that other economies have reached a preferred or final stage of development . Classification by income does not necessarily reflect development status . Note: Classifications are fixed during the World Bank’s fiscal year (ending on June 30), thus countries remain in the categories in which they are classified irrespective of any revisions to their per capita income data .

Low-income economies are those with a GNI per capita of $1,025 or less in 2011 .

Middle-income economies are those with a GNI per capita of more than $1,025 but less than $12,476 . Lower-middle-income and upper-middle-income economies are separated at a GNI per capita of $4,036 .

High-income economies are those with a GNI per capita of $12,476 or more .

Euro area includes the member states of the Economic and Monetary Union of the European Union that have adopted the euro as their currency: Austria, Belgium, Cyprus, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Malta, Netherlands, Portugal, Slovak Republic, Slovenia, and Spain .

Income group tables








571521

28.03.5

39..

3082,034

25.70.6

10.0

11,5634.04.9

..15,12025,818

36366.2242

32.045.3

0.3

5,1254.590655786373247

54....

95

25.27.73.01.42.01.20.30.5

15.2


Population (millions) 816.8 Land area (1,000 sq. km) 16,079 GDP ($ billions) 475.8

Low income








4,1483,692

49.62.6

38..

8023,549

33.30.1

12.5

137,6751.29.37.2

176,790109,084

1,31012.7

1,82372.920.5

3.5

5,8199.578908496594575

46....

46

35.111.43.35.81.50.10.70.7

18.2



Middle income








1,7721,595

38.72.7

46..

7163,065

28.40.39.9

40,2382.4

10.02.9

143,44060,301

66726.269873.017.41.6

3,12120.2

88878493473566

53....

62

29.79.93.16.31.20.30.70.6

14.7



Lower middle income








6,5635,821

60.62.5

35..

8693,944

34.80.0

13.3

97,4370.79.08.4

33,35048,783

1,9488.1

2,94272.921.35.5

8,5505.666938698736281

42....

20

36.411.83.35.71.60.00.70.7

19.2



Upper middle income








3,6523,25146.6

2.7

38..

7313,291

32.00.2

12.0

149,2381.59.07.2

191,910134,902

1,21014.4

1,66172.020.9

3.1

5,7228.979867995564373

47....

56

34.911.33.35.71.50.10.70.7

18.2



Low and middle income








39,86034,611

80.51.1

37 . .

26,5155,349

28.40.0

12.9

28,774–1.71.8

16.581,97015,496

5,0004.4

9,41562.011.211.4

8,19510.3

41100

9810010099

100

22....6

17.913.9

4.61.40.20.00.20.16.6



High income








38,66133,727

75.50.7

45..

25,4155,784

37.4–0.317.0

4,023–1.50.6

15.1....

3,6337.4

6,84746.811.1

7.4

2,93319.1

32100100100100100100

18....4

19.914.04.80.10.00.00.20.1

10.3



Euro area


China

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

SAR, China; Macao SAR, China; or Taiwan, China .

Cyprus

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

controlled by the government of the Republic of Cyprus .

France

Data for Mayotte, to which a reference appeared in previous editions, are

included in data for France .

Georgia

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

population exclude Abkhazia and South Ossetia .

Kosovo, Montenegro, and Serbia

Data for each country are shown separately where available . However, some

indicators for Serbia prior to 2006 include data for Montenegro; these data

are noted in the tables . Moreover, data for most indicators for Serbia from

1999 onward exclude data for Kosovo, which in 1999 became a territory

under international administration pursuant to UN Security Council Resolution

1244 (1999) . Kosovo became a member of the World Bank on June 29,

2009, and its data are shown where available .

Moldova

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

population exclude Transnistria .

Morocco

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

Spanish Sahara .

South Sudan and Sudan

South Sudan declared its independence on July 9, 2011 . Data are shown

separately for South Sudan where available . However, data reported for

Sudan include South Sudan unless otherwise noted .

Tanzania

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

Tanzania only .

For more information, see World Development Indicators 2013 or data .

worldbank .org .

Country tables








470 1,313 571490 1,201 52123.5 30.9 28.0

4.2 2.8 3.5

58 55 395.4 .. ..

.. 550 3081,660 2,959 2,034

2.1 17.1 25.70.0 -0.3 0.60.4 5.9 10.0111452

1.0 13,219 11,563-0.5 2.3 4.0

.. 8.1 4.9

.. 1.7 ..

.. 15,440 15,120

.. 10,343 25,818

.. 519 363

.. 26.7 66.2

.. 555 242

.. 80.6 32.0

.. 14.0 45.30.2 1.4 0.3

1,335 1,197 5,12543.0 51.6 4.5

99 91 9050 90 6542 88 5778 96 8637 38 3730 28 3260 60 47

30 62 54.. .. .... .. ..

101 62 95

.. 33.5 25.27.8 9.2 7.7

.. 2.8 3.00.0 2.8 1.40.0 1.0 2.02.1 0.6 1.20.2 0.8 0.30.5 0.6 0.5

.. 21.6 15.2


Country data

South Asia

group

Low-income group

Population (millions) 35.3 Land area (1,000 sq. km) 652 GDP ($ billions) 19.2

Afghanistan








3,980 7,734 1,7723,431 6,652 1,59553.4 64.7 38.7

1.7 0.3 2.7

44 28 4617.0 .. ..

2,144 3,374 7164,459 2,740 3,065

28.3 38.7 28.4-0.1 0.0 0.39.8 7.5 9.9

36

390

7.3 5,790 40,238-3.0 -2.9 2.4-4.2 -0.5 10.01.6 10.4 2.9

.. .. 143,440

.. .. 60,301

648 3,015 6679.9 2.0 26.2

1,770 4,059 6980.0 65.4 73.0

100.0 18.8 17.40.9 7.1 1.6

8,364 12,498 3,1216.8 6.3 20.258 60 8895 96 8794 91 8496 99 9394 84 4793 81 3595 87 66

38 21 53.. .. .... .. ..

14 21 62

12.8 26.1 29.710.7 12.3 9.92.8 3.6 3.13.4 9.3 6.30.3 0.8 1.20.0 0.0 0.30.3 0.7 0.70.3 0.3 0.60.7 6.2 14.7


Country data

Europe & Central

Asia group

Lower middle-income group


Albania








4,470 3,866 6,5633,531 3,285 5,821

72.9 58.9 60.63.3 2.5 2.5

17 23 352.1 .. ..

2,254 2,627 8691,515 2,475 3,944

0.6 2.4 34.80.6 -0.1 0.06.3 3.9 13.314113613

104 3,538 97,4370.6 2.4 0.78.5 13.1 9.0

0.29 2.0 8.4.. 5,700 33,350.. 217 48,783

1,138 1,372 1,9480.2 0.9 8.1

1,026 1,658 2,94299.6 92.9 72.9

0.4 5.4 21.33.5 4.1 5.5

313 673 8,55054.8 122.1 5.6

64 86 6683 89 9379 81 8685 94 9895 88 7388 80 6298 94 81

69 59 42.. .. .... .. ..

30 32 20

50.4 27.0 36.411.5 10.8 11.84.5 4.5 3.3

18.2 15.2 5.70.2 0.6 1.60.1 0.1 0.00.5 0.6 0.70.3 0.9 0.7

25.3 6.1 19.2


Country data

Middle East &

N. Africa group

Upper middle-income group


Algeria








.. 4,248 6,563

.. 3,884 5,82193.2 48.6 60.6

2.5 3.6 2.5

25 48 35.. .. .... 610 869.. 5,050 3,944

88.4 29.7 34.80.2 –0.4 0.00.3 15.0 13.3

1891

4.8 101,299 97,43725.3 3.4 0.7

.. 9.1 9.017.0 1.4 8.4220 137,690 33,3500.52 56,537 48,783

.. 1,520 1,948

.. 10.9 8.1

.. 2,337 2,942

.. 79.8 72.9

.. 16.5 21.3

.. 4.6 5.5

.. 4,446 8,550

.. 10.9 5.6

.. 73 66

.. 90 93

.. 84 86

.. 97 98

.. 66 73

.. 58 62

.. 76 81

.. 55 42

.. .. ..

.. .. ..

.. 21 20

.. 49.3 36.4

.. 11.0 11.8

.. 2.1 3.3

.. 4.3 5.7

.. 1.7 1.6

.. 0.0 0.0

.. 0.9 0.7

.. 1.1 0.7

.. 32.2 19.2


Country data

East Asia & Pacific

group


Population (thousands) 70 Land area (sq. km) 200 GDP ($ millions) ..

American Samoa








41,750 39,860.. 34,611

87.3 80.51.9 1.1

43 37.. .... 26,515.. 5,349

34.0 28.40.0 0.06.1 12.9

2100

.. 28,774

.. –1.7

.. 1.8

.. 16.5

.. 81,970

.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.26.2 11.4

3,663 8,195.. 10.3.. 41

100 100100 98100 100100 100100 99100 100

18 22.. .... ..3 6

.. 17.913.2 13.9

2.9 4.60.0 1.40.0 0.2

.. 0.00.1 0.2

.. 0.1

.. 6.6


Country data

High-income group

Population (thousands) 86 Land area (sq. km) 470 GDP ($ billions) 3.7

Andorra








3,830 1,258 6,5632,471 1,022 5,82159.1 36.5 60.65.3 3.8 2.5

47 44 35.. .. ..

162 334 869694 1,361 3,944

46.8 27.8 34.80.2 0.5 0.0

12.4 11.7 13.315253933

263 6,383 97,4373.3 1.8 0.7

.. 16.0 9.00.07 5.8 8.4

.. 17,980 33,350312 27,808 48,783

716 683 1,94856.2 58.2 8.1248 553 2,94232.7 65.2 72.967.3 18.7 21.31.4 0.9 5.5

7,544 4,455 8,5500.4 3.2 5.633 84 6651 61 9338 48 8660 83 9858 31 7319 23 6285 42 81

58 41 42.. .. .... .. ..

158 109 20

22.8 18.4 36.412.5 10.9 11.8

3.5 3.7 3.335.0 10.4 5.7

0.0 2.2 1.60.0 0.5 0.00.2 0.5 0.71.8 0.4 0.7

–23.2 –1.2 19.2


Country data

Sub-Saharan Africa group



Angola








11,940 8,574 6,563.. 7,648 5,821

29.9 79.1 60.60.9 2.0 2.5

20 37 35.. .. ..

2,850 3,448 8692,000 3,838 3,944

22.3 46.8 34.80.2 0.4 0.07.0 20.2 13.3

21

184

2.3 19,009 97,4374.7 0.1 0.7

.. 11.8 9.00.70 13.1 8.4240 15,100 33,3508.4 39,997 48,783

1,699 1,312 1,948.. 16.7 8.1.. 1,973 2,942.. 39.0 72.9.. 53.7 21.3

5.3 2.7 5.5

580 22,810 8,5509.6 2.0 5.620 68 66

.. 94 93

.. 81 8695 98 98

.. 79 73

.. 59 6298 84 81

13 28 42.. .. .... .. ..8 19 20

28.0 21.1 36.412.6 12.2 11.82.2 5.0 3.30.0 4.5 5.70.0 1.9 1.6

.. 0.0 0.00.3 0.2 0.7

.. 0.3 0.7

.. 6.8 19.2


Country data


group



Antigua and Barbuda








9,740 8,574 6,5638,836 7,648 5,821

92.5 79.1 60.61.4 2.0 2.5

54 37 35.. .. ..

10,959 3,448 8694,672 3,838 3,944

10.7 46.8 34.80.8 0.4 0.05.5 20.2 13.338503736

796 19,009 97,4371.7 0.1 0.7

11.9 11.8 9.01.1 13.1 8.4

.. 15,100 33,350

.. 39,997 48,783

1,847 1,312 1,9483.3 16.7 8.1

2,904 1,973 2,94265.7 39.0 72.926.8 53.7 21.3

4.4 2.7 5.5

6,771 22,810 8,55011.8 2.0 5.6

66 68 6697 94 9380 81 8698 98 9890 79 7377 59 6291 84 81

57 28 42.. .. .... .. ..

14 19 20

22.9 21.1 36.412.4 12.2 11.86.0 5.0 3.34.3 4.5 5.70.5 1.9 1.60.0 0.0 0.00.4 0.2 0.71.5 0.3 0.79.8 6.8 19.2


Country data


group



Argentina








3,360 7,734 1,7723,083 6,652 1,595

64.1 64.7 38.7–0.9 0.3 2.7

60 28 468.9 .. ..

5,093 3,374 7162,742 2,740 3,065

9.1 38.7 28.41.5 0.0 0.38.0 7.5 9.9

913

31

7.1 5,790 40,238–5.7 –2.9 2.41.1 –0.5 10.0

.. 10.4 2.9

.. .. 143,440

.. .. 60,301

791 3,015 6670.0 2.0 26.2

1,606 4,059 69822.2 65.4 73.039.4 18.8 17.4

1.5 7.1 1.6

2,212 12,498 3,12141.2 6.3 20.2

66 60 8898 96 8797 91 8499 99 9390 84 4780 81 3595 87 66

45 21 538 .. ..

17 .. ..18 21 62

18.3 26.1 29.79.8 12.3 9.92.2 3.6 3.10.0 9.3 6.31.7 0.8 1.20.0 0.0 0.30.3 0.7 0.71.4 0.3 0.67.3 6.2 14.7


Country data

Europe & Central

Asia group



Armenia








.. 39,860

.. 34,61146.9 80.5

2.3 1.1

11 37.. .... 26,515.. 5,349

2.3 28.40.0 0.00.1 12.9

21

151

0.17 28,774–4.3 –1.7

.. 1.80.0 16.5

<50 81,9700.71 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.221.5 11.4

.. 8,195

.. 10.3

.. 41100 100100 98100 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.95.5 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group


Aruba








49,790 39,86046,204 34,611

89.2 80.51.5 1.1

53 370.5 ..

35,165 26,5152,097 5,349

19.3 28.40.4 0.0

10.6 12.95551

10246

237 28,774–1.6 –1.78.7 1.8

28.3 16.548,960 81,970

9,910 15,496

5,653 5,0004.2 4.4

10,286 9,41591.1 62.05.2 11.2

18.4 11.4

22,039 8,1954.6 10.374 41

100 100100 98100 100100 100100 99100 100

13 22.. .... ..5 6

23.8 17.915.1 13.94.8 4.62.3 1.44.7 0.20.0 0.00.2 0.20.0 0.16.8 6.6


Country data

High-income group


Australia








48,170 39,86042,291 34,611

67.7 80.50.6 1.1

35 371.4 ..

25,771 26,5157,873 5,349

47.2 28.4–0.1 0.022.9 12.9

39

1110

2.5 28,774–2.0 –1.7–1.7 1.8

.. 16.5

.. 81,970

.. 15,496

4,034 5,00017.8 4.4

8,356 9,41532.9 62.056.5 11.2

7.4 11.4

6,529 8,1956.6 10.3

3 41100 100100 98100 100100 100100 99100 100

27 22.. .... ..4 6

25.6 17.914.2 13.95.3 4.60.1 1.40.0 0.20.0 0.00.1 0.20.2 0.1

16.2 6.6


Country data

High-income group


Austria








5,290 7,734 6,5633,275 6,652 5,82153.6 64.7 60.6

1.2 0.3 2.5

58 28 3529.5 .. ..

1,360 3,374 8692,484 2,740 3,944

11.3 38.7 34.80.0 0.0 0.07.1 7.5 13.3

715100

1.6 5,790 97,437–15.9 –2.9 0.7–4.0 –0.5 9.0

.. 10.4 8.4

.. .. 33,350

.. .. 48,783

1,307 3,015 1,9480.0 2.0 8.1

1,603 4,059 2,94281.6 65.4 72.918.4 18.8 21.3

5.5 7.1 5.5

885 12,498 8,550150.5 6.3 5.6

76 60 6680 96 9371 91 8688 99 9882 84 7378 81 6286 87 81

27 21 423 .. ..

11 .. ..45 21 20

51.6 26.1 36.412.8 12.3 11.8

3.4 3.6 3.333.8 9.3 5.7

0.1 0.8 1.60.0 0.0 0.00.8 0.7 0.70.4 0.3 0.77.1 6.2 19.2


Country data

Europe & Central

Asia group



Azerbaijan








21,970 39,86018,695 34,611

84.3 80.51.7 1.1

1 37.. ..

44,812 26,5154,410 5,349

51.4 28.40.0 0.0

13.7 12.966

295

10.4 28,7741.5 –1.7

.. 1.80.41 16.5

3,150 81,970875 15,496

2,156 5,000.. 4.4.. 9,415.. 62.0.. 11.2

7.6 11.4

58 8,195.. 10.3.. 41.. 100.. 98

98 100100 100100 99100 100

.. 22

.. ..

.. ..16 6

12.1 17.913.7 13.93.8 4.60.0 1.40.0 0.20.0 0.00.2 0.2

.. 0.1

.. 6.6


Country data

High-income group

Population (thousands) 347 Land area (1,000 sq. km) 10 GDP ($ billions) 7.8

Bahamas, The








15,920 39,86011,033 34,611

88.7 80.54.7 1.1

11 37.. .... 26,515.. 5,349

0.7 28.4–3.6 0.01.3 12.9

3380

9.9 28,7741.0 –1.7

.. 1.80.65 16.5570 81,970

0.65 15,496

7,754 5,0000.0 4.4

9,814 9,415100.0 62.0

0.0 11.220.7 11.4

3 8,1958,935.0 10.3

45 41.. 100.. 98

100 100.. 100.. 99

100 100

44 22.. .... ..

10 6

34.4 17.914.2 13.9

3.0 4.618.1 1.4

0.0 0.20.0 0.00.9 0.20.1 0.19.6 6.6


Country data

High-income group

Population (millions) 1.3 Land area (sq. km) 760 GDP ($ billions) 22.9

Bahrain








780 1,313 571731 1,201 521

28.4 30.9 28.03.4 2.8 3.5

70 55 3952.6 .. ..535 550 308

4,191 2,959 2,034

11.1 17.1 25.70.2 –0.3 0.61.8 5.9 10.034311716

3,125 13,219 11,5634.4 2.3 4.0

10.4 8.1 4.90.81 1.7 ..<50 15,440 15,120

4,951 10,343 25,818

209 519 36328.1 26.7 66.2279 555 242

96.1 80.6 32.03.9 14.0 45.30.3 1.4 0.3

698 1,197 5,12534.2 51.6 4.5

88 91 9081 90 6580 88 5785 96 8656 38 3755 28 3257 60 47

115 62 545 .. ..

10 .. ..46 62 95

33.5 33.5 25.27.6 9.2 7.71.8 2.8 3.01.9 2.8 1.40.0 1.0 2.00.4 0.6 1.20.4 0.8 0.30.7 0.6 0.5

24.4 21.6 15.2


Country data

South Asia

group

Low-income group


Bangladesh








12,660 39,860.. 34,611

44.4 80.51.7 1.1

35 37.. .... 26,515

3,444 5,349

19.4 28.40.0 0.00.1 12.9

32

202

1.8 28,774–2.4 –1.7

.. 1.80.07 16.5

<100 81,9700.04 15,496

1,476 5,000.. 4.4.. 9,415.. 62.0.. 11.2

5.8 11.4

292 8,19576.1 10.3

33 41100 100100 98100 100100 100100 99100 100

35 22.. .... ..

20 6

17.2 17.912.4 13.9

7.4 4.60.0 1.40.0 0.2

.. 0.00.3 0.20.0 0.1

.. 6.6


Country data

High-income group


Barbados








5,830 7,734 6,5634,906 6,652 5,821

75.0 64.7 60.60.3 0.3 2.5

44 28 350.3 .. ..

6,247 3,374 8693,250 2,740 3,944

42.7 38.7 34.8–0.4 0.0 0.07.2 7.5 13.3

4621

17.4 5,790 97,437–4.6 –2.9 0.7–0.1 –0.5 9.0

.. 10.4 8.4

.. .. 33,350

.. .. 48,783

2,922 3,015 1,9486.2 2.0 8.1

3,564 4,059 2,94299.2 65.4 72.9

0.1 18.8 21.36.3 7.1 5.5

3,927 12,498 8,55011.7 6.3 5.6

19 60 66100 96 9399 91 86

100 99 9893 84 7397 81 6291 87 81

6 21 42.. .. .... .. ..6 21 20

27.2 26.1 36.411.5 12.3 11.84.4 3.6 3.31.4 9.3 5.70.0 0.8 1.60.0 0.0 0.01.1 0.7 0.70.0 0.3 0.7

17.6 6.2 19.2


Country data

Europe & Central

Asia group



Belarus








45,930 39,86040,544 34,611

97.5 80.50.5 1.1

44 370.4 ..

.. 26,5159,004 5,349

22.4 28.4–0.2 0.013.8 12.9

24

110

22.5 28,774–2.9 –1.7

–11.7 1.80.04 16.5

.. 81,970

.. 15,496

5,586 5,0005.1 4.4

8,388 9,41540.3 62.0

0.3 11.29.6 11.4

1,089 8,19551.8 10.3

1 41100 100100 98100 100100 100100 99100 100

21 22.. .... ..4 6

22.1 17.913.9 13.9

6.1 4.60.0 1.40.0 0.20.0 0.00.2 0.20.2 0.1

13.9 6.6


Country data

High-income group


Belgium








3,710 8,574 1,7723,275 7,648 1,59544.8 79.1 38.7

2.7 2.0 2.7

7 37 46.. .. ..

4,258 3,448 7162,817 3,838 3,065

60.6 46.8 28.40.7 0.4 0.3

27.9 20.2 9.985

3027

268 19,009 40,23826.1 0.1 2.420.3 11.8 10.011.9 13.1 2.9

1,330 15,100 143,440958 39,997 60,301

571 1,312 667.. 16.7 26.2.. 1,973 698.. 39.0 73.0.. 53.7 17.4

1.2 2.7 1.6

44,868 22,810 3,1210.9 2.0 20.220 68 8898 94 8799 81 8498 98 9390 79 4787 59 3593 84 66

12 28 53.. .. .... .. ..

17 19 62

17.4 21.1 29.711.7 12.2 9.96.9 5.0 3.10.0 4.5 6.30.0 1.9 1.20.0 0.0 0.30.3 0.2 0.70.0 0.3 0.6

10.5 6.8 14.7


Country data


group



Belize








780 1,258 571728 1,022 521

44.9 36.5 28.04.3 3.8 3.5

30 44 39.. .. ..

670 334 3081,430 1,361 2,034

40.0 27.8 25.71.0 0.5 0.6

23.8 11.7 10.0119

2713

39.2 6,383 11,5630.1 1.8 4.0

.. 16.0 4.90.0 5.8 ..

.. 17,980 15,12065.7 27,808 25,818

413 683 36356.2 58.2 66.2

90 553 24299.3 65.2 32.0

0.0 18.7 45.30.6 0.9 0.3

1,132 4,455 5,1251.3 3.2 4.545 84 9075 61 6568 48 5784 83 8613 31 37

5 23 3225 42 47

48 41 5410 .. ..9 .. ..

106 109 95

13.2 18.4 25.28.4 10.9 7.74.3 3.7 3.00.0 10.4 1.40.0 2.2 2.00.3 0.5 1.20.5 0.5 0.30.6 0.4 0.57.7 –1.2 15.2


Country data


Low-income group


Country data


Low-income group

Benin








.. 39,860

.. 34,611100.0 80.5

0.3 1.1

15 37.. ..

32,356 26,515.. 5,349

20.0 28.40.0 0.05.6 12.9

41

163

0.48 28,7740.2 –1.7

.. 1.85.0 16.5370 81,9700.18 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.27.2 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.92.1 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group


Bermuda








2,130 1,313 1,7721,928 1,201 1,595

35.6 30.9 38.75.0 2.8 2.7

14 55 466.7 .. ..

463 550 7162,705 2,959 3,065

84.9 17.1 28.4–0.3 –0.3 0.328.3 5.9 9.9

2718

32

0.24 13,219 40,238–2.9 2.3 2.44.3 8.1 10.0

.. 1.7 2.9

.. 15,440 143,440

.. 10,343 60,301

354 519 667.. 26.7 26.2.. 555 698.. 80.6 73.0.. 14.0 17.4

0.6 1.4 1.6

105,653 1,197 3,1210.4 51.6 20.294 91 8896 90 8794 88 84

100 96 9344 38 4729 28 3573 60 66

20 62 53.. .. .... .. ..

54 62 62

.. 33.5 29.710.4 9.2 9.93.2 2.8 3.10.0 2.8 6.30.0 1.0 1.23.4 0.6 0.30.2 0.8 0.70.0 0.6 0.6

.. 21.6 14.7


Country data

South Asia

group



Bhutan








2,020 8,574 1,7721,707 7,648 1,59566.8 79.1 38.7

2.9 2.0 2.7

34 37 46.. .. ..

723 3,448 7162,365 3,838 3,065

52.5 46.8 28.40.5 0.4 0.3

18.5 20.2 9.92053

073

7.6 19,009 40,238–0.2 0.1 2.43.0 11.8 10.0

.. 13.1 2.9

.. 15,100 143,440

.. 39,997 60,301

737 1,312 66724.4 16.7 26.2616 1,973 698

66.0 39.0 73.031.7 53.7 17.41.5 2.7 1.6

30,085 22,810 3,1210.7 2.0 20.257 68 8888 94 8771 81 8496 98 9327 79 4710 59 3535 84 66

57 28 5320 .. ..26 .. ..51 19 62

27.2 21.1 29.710.3 12.2 9.95.2 5.0 3.1

10.0 4.5 6.34.7 1.9 1.20.0 0.0 0.30.5 0.2 0.71.0 0.3 0.65.9 6.8 14.7


Country data


group



Bolivia








4,780 7,734 6,563.. 6,652 5,821

48.3 64.7 60.60.3 0.3 2.5

42 28 35.. .. ..

16,209 3,374 8693,725 2,740 3,944

42.8 38.7 34.80.0 0.0 0.00.6 7.5 13.3

46

310

10.0 5,790 97,437.. –2.9 0.7.. –0.5 9.0

0.71 10.4 8.4.. .. 33,350.. .. 48,783

1,703 3,015 1,9482.9 2.0 8.1

3,110 4,059 2,94253.1 65.4 72.946.9 18.8 21.3

8.0 7.1 5.5

9,461 12,498 8,5501.0 6.3 5.6

.. 60 6699 96 9398 91 86

100 99 9895 84 7392 81 6299 87 81

21 21 42.. .. .... .. ..8 21 20

12.9 26.1 36.410.8 12.3 11.8

.. 3.6 3.31.9 9.3 5.70.5 0.8 1.6

.. 0.0 0.01.3 0.7 0.70.2 0.3 0.7

.. 6.2 19.2


Country data

Europe & Central

Asia group



Bosnia and Herzegovina








7,470 1,258 6,5637,157 1,022 5,82161.6 36.5 60.6

3.7 3.8 2.5

46 44 350.0 .. ..

567 334 869393 1,361 3,944

19.8 27.8 34.81.0 0.5 0.0

30.9 11.7 13.37

1021

0.23 6,383 97,437–7.8 1.8 0.7

.. 16.0 9.0

.. 5.8 8.4

.. 17,980 33,350

.. 27,808 48,783

1,128 683 1,94821.5 58.2 8.1

1,586 553 2,942100.0 65.2 72.9

0.0 18.7 21.32.2 0.9 5.5

1,182 4,455 8,5508.1 3.2 5.641 84 6696 61 9392 48 8699 83 9862 31 7341 23 6275 42 81

64 41 42.. .. .... .. ..

26 109 20

28.1 18.4 36.411.9 10.9 11.8

7.6 3.7 3.30.2 10.4 5.72.9 2.2 1.60.0 0.5 0.00.2 0.5 0.70.3 0.4 0.7

20.4 –1.2 19.2


Country data




Botswana








10,720 8,574 6,56310,363 7,648 5,821

84.6 79.1 60.61.9 2.0 2.5

33 37 351.6 .. ..

4,461 3,448 8694,038 3,838 3,944

61.2 46.8 34.80.5 0.4 0.0

26.3 20.2 13.381

15283

400

1,433 19,009 97,4371.2 0.1 0.7

17.7 11.8 9.016.5 13.1 8.4

1,200 15,100 33,35012,999 39,997 48,783

1,363 1,312 1,94830.6 16.7 8.1

2,384 1,973 2,94212.4 39.0 72.978.2 53.7 21.3

1.9 2.7 5.5

27,551 22,810 8,5501.1 2.0 5.655 68 6698 94 9385 81 86

100 98 9879 79 7344 59 6285 84 81

18 28 42.. .. .... .. ..

16 19 20

17.6 21.1 36.412.5 12.2 11.8

5.5 5.0 3.31.9 4.5 5.71.8 1.9 1.60.0 0.0 0.00.1 0.2 0.70.2 0.3 0.76.6 6.8 19.2


Country data


group



Brazil








31,800 39,86015,781 34,611

76.0 80.52.9 1.1

2 370.9 ..

80,337 26,515591 5,349

71.8 28.40.4 0.0

44.0 12.934247

98

2.6 28,774–0.5 –1.723.8 1.8

1.4 16.5210 81,970173 15,496

8,308 5,0000.0 4.4

8,759 9,415100.0 62.0

0.0 11.223.7 11.4

20,939 8,1951.1 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

44 22.. .... ..7 6

50.7 17.912.7 13.92.0 4.6

29.9 1.40.0 0.20.0 0.00.6 0.20.1 0.1

10.1 6.6


Country data

High-income group

Population (thousands) 406 Land area (1,000 sq. km) 5.3 GDP ($ billions) 16.4

Brunei Darussalam








6,640 7,734 6,5635,949 6,652 5,821

73.1 64.7 60.6–0.4 0.3 2.5

47 28 351.8 .. ..

9,739 3,374 8693,910 2,740 3,944

36.7 38.7 34.8–1.5 0.0 0.09.2 7.5 13.3

71419

6

15.2 5,790 97,437–7.5 –2.9 0.7–1.7 –0.5 9.03.2 10.4 8.4

.. .. 33,350

.. .. 48,783

2,370 3,015 1,9485.1 2.0 8.1

4,476 4,059 2,94254.3 65.4 72.911.0 18.8 21.35.6 7.1 5.5

2,858 12,498 8,55029.1 6.3 5.6

16 60 66100 96 93100 91 86100 99 98100 84 73100 81 62100 87 81

40 21 42.. .. .... .. ..

12 21 20

24.8 26.1 36.412.0 12.3 11.8

4.1 3.6 3.31.1 9.3 5.71.3 0.8 1.60.0 0.0 0.00.7 0.7 0.71.0 0.3 0.7

12.7 6.2 19.2


Country data

Europe & Central

Asia group



Bulgaria








580 1,258 571516 1,022 521

26.5 36.5 28.06.0 3.8 3.5

43 44 39.. .. .... 334 308

995 1,361 2,034

20.4 27.8 25.71.0 0.5 0.6

14.2 11.7 10.09943

15.3 6,383 11,5633.7 1.8 4.0

20.0 16.0 4.9.. 5.8 .... 17,980 15,120.. 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

737 4,455 5,1257.9 3.2 4.570 84 9079 61 6573 48 5795 83 8617 31 376 23 32

50 42 47

65 41 54.. .. .... .. ..

146 109 95

15.6 18.4 25.28.0 10.9 7.73.4 3.7 3.00.0 10.4 1.46.4 2.2 2.01.4 0.5 1.20.1 0.5 0.30.8 0.4 0.55.5 –1.2 15.2


Country data


Low-income group


Country data


Low-income group

Burkina Faso








250 1,258 571227 1,022 52110.9 36.5 28.0

4.7 3.8 3.5

86 44 39.. .. ..

86 334 3081,326 1,361 2,034

6.6 27.8 25.71.4 0.5 0.64.8 11.7 10.01112173

10.7 6,383 11,563–2.3 1.8 4.02.5 16.0 4.9

.. 5.8 ..

.. 17,980 15,120

.. 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.0 0.9 0.3

1,173 4,455 5,1252.9 3.2 4.577 84 9072 61 6571 48 5783 83 8646 31 3746 23 3249 42 47

24 41 54.. .. .... .. ..

139 109 95

1.7 18.4 25.26.8 10.9 7.78.7 3.7 3.00.0 10.4 1.40.9 2.2 2.08.8 0.5 1.20.1 0.5 0.30.1 0.4 0.5

–6.2 –1.2 15.2


Country data


Low-income group


Country data


Low-income group

Burundi








820 4,248 571769 3,884 52120.0 48.6 28.0

3.1 3.6 3.5

32 48 39.. .. ..

442 610 3082,925 5,050 2,034

56.5 29.7 25.71.3 –0.4 0.6

25.8 15.0 10.037264032

562 101,299 11,5637.6 3.4 4.0

12.2 9.1 4.90.44 1.4 ..<50 137,690 15,120728 56,537 25,818

355 1,520 36372.0 10.9 66.2146 2,337 24295.1 79.8 32.0

2.6 16.5 45.30.3 4.6 0.3

8,431 4,446 5,1251.8 10.9 4.594 73 9064 90 6558 84 5787 97 8631 66 3720 58 3273 76 47

42 55 5415 .. ..20 .. ..43 21 95

11.2 49.3 25.29.0 11.0 7.71.6 2.1 3.00.0 4.3 1.40.0 1.7 2.00.1 0.0 1.20.3 0.9 0.30.5 1.1 0.53.0 32.2 15.2


Country data

East Asia & Pacific

group

Low-income group


Cambodia








1,210 1,258 1,7721,065 1,022 1,595

52.1 36.5 38.73.7 3.8 2.7

20 44 46.. .. ..

685 334 7161,768 1,361 3,065

41.7 27.8 28.41.0 0.5 0.39.2 11.7 9.93824

111376

141 6,383 40,2383.3 1.8 2.4

10.3 16.0 10.00.39 5.8 2.9

.. 17,980 143,4401,962 27,808 60,301

363 683 66762.3 58.2 26.2271 553 698

26.8 65.2 73.072.2 18.7 17.4

0.3 0.9 1.6

13,629 4,455 3,1210.4 3.2 20.276 84 8877 61 8752 48 8495 83 9349 31 4736 23 3558 42 66

59 41 53.. .. .... .. ..

127 109 62

12.4 18.4 29.79.1 10.9 9.93.1 3.7 3.15.2 10.4 6.30.2 2.2 1.20.0 0.5 0.30.2 0.5 0.70.7 0.4 0.60.8 –1.2 14.7


Country data




Cameroon








45,550 39,86040,811 34,611

80.7 80.51.3 1.1

7 371.2 ..

50,579 26,5153,527 5,349

34.1 28.40.0 0.07.5 12.9111635

1

1,039 28,774–3.1 –1.76.7 1.81.2 16.5

.. 81,970

.. 15,496

7,380 5,0004.8 4.4

15,137 9,41524.2 62.057.8 11.215.2 11.4

82,647 8,1951.6 10.312 41

100 10099 98

100 100100 10099 99

100 100

15 22.. .... ..6 6

20.0 17.914.5 13.94.5 4.62.3 1.40.7 0.20.0 0.00.3 0.20.0 0.16.7 6.6


Country data

High-income group


Canada








3,540 1,258 1,7723,284 1,022 1,595

62.6 36.5 38.73.4 3.8 2.7

19 44 46.. .. ..

3,335 334 716178 1,361 3,065

21.0 27.8 28.4–0.4 0.5 0.32.5 11.7 9.9

34

243

22.5 6,383 40,2386.0 1.8 2.4

.. 16.0 10.00.0 5.8 2.9

.. 17,980 143,440

.. 27,808 60,301

213 683 667.. 58.2 26.2.. 553 698.. 65.2 73.0.. 18.7 17.4

0.6 0.9 1.6

599 4,455 3,1217.3 3.2 20.291 84 8888 61 8785 48 8490 83 9361 31 4743 23 3573 42 66

.. 41 53

.. .. ..

.. .. ..21 109 62

22.8 18.4 29.710.9 10.9 9.94.9 3.7 3.10.0 10.4 6.30.0 2.2 1.20.1 0.5 0.30.2 0.5 0.7

.. 0.4 0.616.7 –1.2 14.7


Country data




Cape Verde








.. 39,860

.. 34,611100.0 80.5

3.7 1.1

11 37.. .... 26,515.. 5,349

52.9 28.40.0 0.08.7 12.9

11

192

0.13 28,774–8.7 –1.7

.. 1.81.2 16.5

230 81,97078.3 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.29.2 11.4

.. 8,195

.. 10.3

.. 4196 100

.. 9896 10096 100

.. 9996 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group


Cayman Islands








480 1,258 571450 1,022 52139.1 36.5 28.02.3 3.8 3.5

8 44 39.. .. ..

418 334 3081,522 1,361 2,034

36.2 27.8 25.70.1 0.5 0.6

17.7 11.7 10.08

133

17

35.2 6,383 11,5634.8 1.8 4.02.3 16.0 4.9

.. 5.8 ..

.. 17,980 15,120

.. 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

31,425 4,455 5,1250.0 3.2 4.5

1 84 9067 61 6551 48 5792 83 8634 31 3728 23 3243 42 47

35 41 54.. .. .... .. ..

164 109 95

.. 18.4 25.27.7 10.9 7.71.1 3.7 3.00.0 10.4 1.40.1 2.2 2.00.0 0.5 1.20.1 0.5 0.30.2 0.4 0.5

.. –1.2 15.2


Country data


Low-income group


Central African Republic








720 1,258 571543 1,022 52121.8 36.5 28.03.3 3.8 3.5

40 44 39.. .. .... 334 308

888 1,361 2,034

9.1 27.8 25.70.7 0.5 0.69.4 11.7 10.0131113

60.0 6,383 11,563–0.7 1.8 4.0

.. 16.0 4.9

.. 5.8 ..

.. 17,980 15,120

.. 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.0 0.9 0.3

1,301 4,455 5,1252.4 3.2 4.552 84 9051 61 6544 48 5770 83 8613 31 37

6 23 3230 42 47

83 41 54.. .. .... .. ..

169 109 95

.. 18.4 25.29.4 10.9 7.72.3 3.7 3.0

25.3 10.4 1.40.0 2.2 2.00.0 0.5 1.20.0 0.5 0.31.2 0.4 0.5

.. –1.2 15.2


Country data


Low-income group


Chad








67,960 39,860.. 34,611

31.2 80.50.4 1.1

51 374.3 ..

.. 26,515

.. 5,349

4.2 28.4.. 0.0

9.3 12.9........

4.0 28,774–0.2 –1.714.2 1.80.02 16.5

.. 81,970

.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

.. 17.914.5 13.9

.. 4.60.0 1.40.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group


Channel Islands








12,280 8,574 6,56310,103 7,648 5,821

89.1 79.1 60.61.6 2.0 2.5

21 37 355.6 .. ..

6,882 3,448 8696,934 3,838 3,944

21.9 46.8 34.8–0.2 0.4 0.016.6 20.2 13.3

20332034

4,436 19,009 97,437–2.0 0.1 0.713.3 11.8 9.0

3.7 13.1 8.4.. 15,100 33,350.. 39,997 48,783

1,807 1,312 1,94815.9 16.7 8.1

3,297 1,973 2,94259.6 39.0 72.935.9 53.7 21.3

3.9 2.7 5.5

51,188 22,810 8,5501.3 2.0 5.670 68 6696 94 9375 81 8699 98 9896 79 7383 59 6298 84 81

46 28 42.. .. .... .. ..9 19 20

26.8 21.1 36.413.2 12.2 11.8

4.6 5.0 3.30.1 4.5 5.7

12.3 1.9 1.60.0 0.0 0.00.2 0.2 0.70.5 0.3 0.75.4 6.8 19.2


Country data


group



Chile








4,940 4,248 6,5634,503 3,884 5,821

50.5 48.6 60.63.9 3.6 2.5

56 48 3510.3 .. ..571 610 869

5,706 5,050 3,944

22.5 29.7 34.8–1.6 –0.4 0.016.6 15.0 13.3

7587

120382

66,219 101,299 97,4374.2 3.4 0.79.2 9.1 9.01.3 1.4 8.4

1,510 137,690 33,350208 56,537 48,783

1,807 1,520 1,9488.5 10.9 8.1

2,944 2,337 2,94279.7 79.8 72.917.2 16.5 21.35.8 4.6 5.5

2,093 4,446 8,55019.7 10.9 5.6

65 73 6691 90 9385 84 8698 97 9864 66 7356 58 6274 76 81

59 55 42.. .. .... .. ..

15 21 20

52.8 49.3 36.411.1 11.0 11.81.8 2.1 3.34.2 4.3 5.71.9 1.7 1.60.0 0.0 0.01.0 0.9 0.71.3 1.1 0.7

35.1 32.2 19.2


Country data

East Asia & Pacific

group



China








6,070 8,574 6,5635,251 7,648 5,82175.3 79.1 60.6

2.1 2.0 2.5

39 37 35.. .. ..

2,979 3,448 8694,033 3,838 3,944

54.4 46.8 34.80.2 0.4 0.0

20.9 20.2 13.353

11254

215

169 19,009 97,437–1.6 0.1 0.710.4 11.8 9.015.5 13.1 8.4940 15,100 33,350

4,079 39,997 48,783

696 1,312 1,94810.3 16.7 8.1

1,012 1,973 2,94227.9 39.0 72.971.1 53.7 21.31.6 2.7 5.5

45,006 22,810 8,5500.6 2.0 5.639 68 6692 94 9372 81 8699 98 9877 79 7363 59 6282 84 81

19 28 426 .. ..

13 .. ..18 19 20

20.0 21.1 36.412.0 12.2 11.83.9 5.0 3.39.7 4.5 5.70.8 1.9 1.60.0 0.0 0.00.2 0.2 0.70.1 0.3 0.71.2 6.8 19.2


Country data


group



Colombia








770 1,258 571732 1,022 52128.1 36.5 28.0

2.6 3.8 3.5

83 44 39.. .. ..

551 334 3081,411 1,361 2,034

1.4 27.8 25.79.3 0.5 0.60.0 11.7 10.0

5964

25.1 6,383 11,5633.5 1.8 4.0

.. 16.0 4.93.2 5.8 ..

430 17,980 15,1201.2 27,808 25,818

60 683 363.. 58.2 66.2.. 553 242.. 65.2 32.0.. 18.7 45.3

0.2 0.9 0.3

1,592 4,455 5,1250.8 3.2 4.547 84 9095 61 6597 48 5791 83 8636 31 3730 23 3250 42 47

30 41 54.. .. .... .. ..

79 109 95

.. 18.4 25.28.4 10.9 7.74.2 3.7 3.00.0 10.4 1.40.0 2.2 2.01.1 0.5 1.20.2 0.5 0.30.0 0.4 0.5

.. –1.2 15.2


Country data


Low-income group

Population (thousands) 754 Land area (1,000 sq. km) 1.9 GDP ($ millions) 610.4

Comoros








190 1,258 571159 1,022 521

34.3 36.5 28.04.0 3.8 3.5

11 44 39.. .. ..

179 334 308766 1,361 2,034

67.9 27.8 25.70.2 0.5 0.6

10.0 11.7 10.030358385

239 6,383 11,5631.8 1.8 4.07.1 16.0 4.94.4 5.8 ..

.. 17,980 15,120193 27,808 25,818

360 683 36393.4 58.2 66.2

95 553 2420.4 65.2 32.0

99.6 18.7 45.30.0 0.9 0.3

13,283 4,455 5,1250.1 3.2 4.518 84 9045 61 6527 48 5779 83 8624 31 3724 23 3224 42 47

35 41 54.. .. ..

16 .. ..168 109 95

.. 18.4 25.27.2 10.9 7.72.4 3.7 3.03.0 10.4 1.4

15.0 2.2 2.00.0 0.5 1.20.2 0.5 0.30.6 0.4 0.5

.. –1.2 15.2


Country data


Low-income group


Congo, Dem. Rep.








2,250 1,258 1,772469 1,022 1,59563.6 36.5 38.7

3.4 3.8 2.7

31 44 46.. .. ..

577 334 716814 1,361 3,065

65.6 27.8 28.40.1 0.5 0.39.4 11.7 9.9114

4537

73.3 6,383 40,2382.0 1.8 2.4

–5.8 16.0 10.032.8 5.8 2.9

.. 17,980 143,44016.7 27,808 60,301

363 683 66751.7 58.2 26.2145 553 69823.1 65.2 73.076.9 18.7 17.4

0.5 0.9 1.6

53,626 4,455 3,1210.0 3.2 20.2

9 84 8871 61 8732 48 8495 83 9318 31 4715 23 3520 42 66

57 41 538 .. ..

14 .. ..99 109 62

22.0 18.4 29.714.1 10.9 9.92.5 3.7 3.1

67.8 10.4 6.30.0 2.2 1.20.0 0.5 0.30.1 0.5 0.70.7 0.4 0.6

–50.1 –1.2 14.7


Country data




Congo, Rep.








7,640 8,574 6,5637,413 7,648 5,82164.6 79.1 60.6

3.2 2.0 2.5

37 37 351.5 .. ..

5,738 3,448 8693,376 3,838 3,944

51.5 46.8 34.8–0.9 0.4 0.020.9 20.2 13.3

92250

113

48.3 19,009 97,4370.5 0.1 0.7

20.3 11.8 9.012.2 13.1 8.4970 15,100 33,350418 39,997 48,783

998 1,312 1,94817.3 16.7 8.1

1,855 1,973 2,9426.7 39.0 72.9

75.8 53.7 21.31.8 2.7 5.5

23,780 22,810 8,5502.4 2.0 5.653 68 6697 94 9391 81 86

100 98 9895 79 7396 59 6295 84 81

27 28 42.. .. .... .. ..

10 19 20

15.1 21.1 36.412.0 12.2 11.86.2 5.0 3.30.0 4.5 5.70.0 1.9 1.60.1 0.0 0.00.2 0.2 0.70.1 0.3 0.79.0 6.8 19.2


Country data


group



Costa Rica








1,090 1,258 1,772986 1,022 1,59551.3 36.5 38.73.5 3.8 2.7

64 44 46.. .. ..

1,104 334 7161,682 1,361 3,065

32.7 27.8 28.4–0.2 0.5 0.322.6 11.7 9.9

232045

104

75.1 6,383 40,238–1.3 1.8 2.418.3 16.0 10.00.07 5.8 2.9

.. 17,980 143,44099.6 27,808 60,301

485 683 66775.7 58.2 26.2210 553 698

71.2 65.2 73.027.0 18.7 17.40.3 0.9 1.6

3,813 4,455 3,1211.8 3.2 20.243 84 8880 61 8768 48 8491 83 9324 31 4711 23 3536 42 66

30 41 53.. .. .... .. ..

115 109 62

13.3 18.4 29.79.3 10.9 9.94.3 3.7 3.13.6 10.4 6.30.9 2.2 1.20.0 0.5 0.30.2 0.5 0.70.4 0.4 0.64.1 –1.2 14.7


Country data




Côte d’Ivoire








13,540 39,86011,785 34,611

57.8 80.5–0.1 1.1

24 371.1 ..

16,096 26,5155,228 5,349

34.4 28.4–0.2 0.013.0 12.9

71260

6

83.8 28,774.. –1.7.. 1.8

3.4 16.5.. 81,970.. 15,496

1,932 5,0004.7 4.4

3,813 9,41539.3 62.059.5 11.2

4.9 11.4

8,562 8,1951.7 10.3

2 4199 10097 98

100 10099 10098 9999 100

22 22.. .... ..5 6

20.7 17.912.9 13.9

4.1 4.60.7 1.40.0 0.20.2 0.00.3 0.20.2 0.1

10.5 6.6


Country data

High-income group


Croatia








5,460 8,574 6,5634,526 7,648 5,821

75.2 79.1 60.60.4 2.0 2.5

62 37 35.. .. ..

3,903 3,448 8692,619 3,838 3,944

27.3 46.8 34.8–1.7 0.4 0.06.4 20.2 13.3141735

155

48.6 19,009 97,437–9.1 0.1 0.75.4 11.8 9.04.4 13.1 8.4

3,020 15,100 33,3504,944 39,997 48,783

975 1,312 1,94811.6 16.7 8.1

1,299 1,973 2,94252.6 39.0 72.9

0.6 53.7 21.32.8 2.7 5.5

3,387 22,810 8,55019.8 2.0 5.6

75 68 6694 94 9389 81 8696 98 9891 79 7381 59 6294 84 81

15 28 42.. .. .... .. ..6 19 20

.. 21.1 36.411.5 12.2 11.812.9 5.0 3.3

2.4 4.5 5.71.0 1.9 1.60.0 0.0 0.00.4 0.2 0.70.0 0.3 0.7

.. 6.8 19.2


Country data


group



Cuba








.. 39,860

.. 34,611

.. 80.5

.. 1.1

.. 37

.. ..

.. 26,515

.. 5,349

.. 28.4

.. 0.0

.. 12.91190

21.1 28,774.. –1.7.. 1.8.. 16.5.. 81,970.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group

CuraçaoPopulation (thousands) 146 Land area (sq. km) 444 GDP ($ millions) ..








29,450 39,86025,009 34,611

70.5 80.52.0 1.1

13 3721.9 ..

7,927 26,5151,887 5,349

18.8 28.4–0.1 0.010.5 12.9

55

1916

5.9 28,774–3.6 –1.718.9 1.80.56 16.5

.. 81,970

.. 15,496

2,215 5,0001.8 4.4

4,675 9,41597.6 62.00.0 11.27.5 11.4

699 8,19523.6 10.3

86 41100 100100 98100 100100 100100 99100 100

27 22.. .... ..3 6

9.0 17.910.8 13.96.9 4.60.0 1.40.0 0.20.0 0.00.3 0.20.2 0.14.6 6.6

Country data

High-income group

Population (millions) 1.1 Land area (1,000 sq. km) 9.2 GDP ($ billions) 24.7

Cyprus









18,700 39,86016,437 34,611

73.4 80.50.0 1.1

55 370.4 ..

6,423 26,5155,422 5,349

34.4 28.4–0.1 0.015.1 12.9

2729

24.9 28,774.. –1.7.. 1.8.. 16.5.. 81,970.. 15,496

4,193 5,0006.0 4.4

6,321 9,41560.2 62.0

3.3 11.210.3 11.4

1,253 8,19512.9 10.3

2 41100 100100 98100 100

98 10097 9999 100

16 22.. .... ..4 6

23.3 17.913.9 13.9

4.2 4.60.6 1.40.0 0.20.0 0.00.5 0.20.0 0.1

12.5 6.6

Country data

High-income group


Czech Republic
















60,160 39,86051,527 34,611

86.9 80.50.5 1.1

63 3712.1 ..

53,407 26,5155,907 5,349

12.9 28.4–1.1 0.04.9 12.9

24

151

751 28,774–3.4 –1.7–0.9 1.83.2 16.5

.. 81,970

.. 15,496

3,470 5,00018.6 4.4

6,327 9,41566.1 62.0

0.1 11.28.3 11.4

1,077 8,19511.0 10.3

36 41100 100100 98100 100100 100100 99100 100

15 22.. .... ..4 6

22.9 17.914.1 13.98.1 4.61.9 1.40.0 0.20.0 0.00.1 0.20.0 0.1

14.9 6.6


Country data

High-income group


Denmark















1,270 3,866 1,7721,160 3,285 1,595

77.1 58.9 38.72.4 2.5 2.7

73 23 46.. .. ..

80 2,627 7162,000 2,475 3,065

0.2 2.4 28.40.0 –0.1 0.30.0 3.9 9.9

89

172

1.7 3,538 40,2387.6 2.4 2.4

.. 13.1 10.00.24 2.0 2.9450 5,700 143,44010.0 217 60,301

170 1,372 667.. 0.9 26.2.. 1,658 698.. 92.9 73.0.. 5.4 17.4

0.6 4.1 1.6

331 673 3,1216.3 122.1 20.216 86 8888 89 8754 81 8499 94 9350 88 4710 80 3563 94 66

28 59 53.. .. .... .. ..

90 32 62

33.7 27.0 29.79.4 10.8 9.9

.. 4.5 3.10.0 15.2 6.30.0 0.6 1.20.3 0.1 0.30.3 0.6 0.70.6 0.9 0.6

.. 6.1 14.7


Country data

Middle East &

N. Africa group



Djibouti








7,030 8,574 6,5636,179 7,648 5,82167.2 79.1 60.6–0.3 2.0 2.5

35 37 35.. .. ..

5,913 3,448 8692,288 3,838 3,944

59.2 46.8 34.80.6 0.4 0.0

21.7 20.2 13.333

199

0.70 19,009 97,4371.8 0.1 0.7

.. 11.8 9.00.13 13.1 8.4

<100 15,100 33,3500.10 39,997 48,783

628 1,312 1,948.. 16.7 8.1.. 1,973 2,942.. 39.0 72.9.. 53.7 21.3

1.9 2.7 5.5

.. 22,810 8,550

.. 2.0 5.6

.. 68 6695 94 9392 81 8696 98 9881 79 7384 59 6280 84 81

20 28 42.. .. .... .. ..

12 19 20

5.1 21.1 36.411.7 12.2 11.83.1 5.0 3.30.0 4.5 5.70.0 1.9 1.60.0 0.0 0.00.2 0.2 0.7

.. 0.3 0.7–3.7 6.8 19.2


Country data


group


Population (thousands) 68 Land area (sq. km) 750 GDP ($ millions) 484.1

Dominica








5,240 8,574 6,5634,683 7,648 5,821

69.6 79.1 60.62.7 2.0 2.5

51 37 35.. .. ..

5,480 3,448 8692,972 3,838 3,944

40.8 46.8 34.80.0 0.4 0.0

22.2 20.2 13.36

142229

15.9 19,009 97,437–1.6 0.1 0.79.7 11.8 9.0

30.4 13.1 8.4610 15,100 33,350212 39,997 48,783

840 1,312 1,94821.4 16.7 8.1

1,442 1,973 2,94288.6 39.0 72.911.3 53.7 21.3

2.1 2.7 5.5

2,088 22,810 8,55016.6 2.0 5.6

64 68 6686 94 9384 81 8687 98 9883 79 7375 59 6287 84 81

14 28 427 .. ..

15 .. ..25 19 20

8.7 21.1 36.411.5 12.2 11.81.9 5.0 3.30.0 4.5 5.70.4 1.9 1.60.0 0.0 0.00.4 0.2 0.70.0 0.3 0.7

–1.7 6.8 19.2


Country data


group



Dominican Republic








4,200 8,574 6,5633,203 7,648 5,821

67.4 79.1 60.62.7 2.0 2.5

30 37 3512.6 .. ..

2,178 3,448 8692,604 3,838 3,944

38.9 46.8 34.81.8 0.4 0.0

25.1 20.2 13.3439350

1,714

817 19,009 97,4372.7 0.1 0.76.8 11.8 9.0

75.4 13.1 8.4<50 15,100 33,350

1,583 39,997 48,783

836 1,312 1,9485.3 16.7 8.1

1,055 1,973 2,94248.4 39.0 72.948.8 53.7 21.3

2.1 2.7 5.5

29,456 22,810 8,5503.5 2.0 5.692 68 6694 94 9389 81 8696 98 9892 79 7384 59 6296 84 81

19 28 42.. .. .... .. ..

23 19 20

23.2 21.1 36.411.0 12.2 11.81.4 5.0 3.3

16.4 4.5 5.70.0 1.9 1.60.0 0.0 0.00.4 0.2 0.70.0 0.3 0.7

–3.3 6.8 19.2


Country data


group



Ecuador








2,600 3,866 1,7722,180 3,285 1,59543.5 58.9 38.7

1.8 2.5 2.7

4 23 46.. .. ..

3,364 2,627 7167,247 2,475 3,065

0.1 2.4 28.4–1.7 –0.1 0.35.9 3.9 9.9181040

2

1,362 3,538 40,2381.9 2.4 2.4

14.1 13.1 10.09.3 2.0 2.9

3,800 5,700 143,4405.1 217 60,301

903 1,372 6672.1 0.9 26.2

1,608 1,658 69890.1 92.9 73.08.9 5.4 17.42.7 4.1 1.6

22 673 3,1213,794.4 122.1 20.2

86 86 8899 89 8799 81 84

100 94 9395 88 4793 80 3597 94 66

78 59 538 .. ..9 .. ..

21 32 62

17.3 27.0 29.710.4 10.8 9.94.4 4.5 3.18.7 15.2 6.30.3 0.6 1.20.1 0.1 0.30.8 0.6 0.70.7 0.9 0.60.7 6.1 14.7


Country data

Middle East &

N. Africa group



Egypt, Arab Rep.








3,480 8,574 1,7723,194 7,648 1,59564.8 79.1 38.7

2.0 2.0 2.7

74 37 462.1 .. ..

2,674 3,448 7162,492 3,838 3,065

13.6 46.8 28.41.5 0.4 0.30.8 20.2 9.9

56

1423

59.2 19,009 40,2389.2 0.1 2.4

10.2 11.8 10.03.1 13.1 2.9

.. 15,100 143,440252 39,997 60,301

677 1,312 66718.4 16.7 26.2855 1,973 69834.9 39.0 73.034.8 53.7 17.4

1.0 2.7 1.6

2,850 22,810 3,1217.8 2.0 20.255 68 8888 94 8776 81 8494 98 9387 79 4783 59 3589 84 66

28 28 53.. .. .... .. ..

15 19 62

9.2 21.1 29.710.8 12.2 9.9

3.0 5.0 3.10.0 4.5 6.30.0 1.9 1.20.5 0.0 0.30.2 0.2 0.70.2 0.3 0.60.5 6.8 14.7


Country data


group



El Salvador








15,670 39,8607,915 34,61139.5 80.5

3.7 1.1

11 37.. ..

981 26,515.. 5,349

57.5 28.40.7 0.0

19.2 12.919

62867

7.1 28,7743.2 –1.7

.. 1.82.6 16.5

.. 81,970253 15,496

2,732 5,000.. 4.4.. 9,415.. 62.0.. 11.2

7.1 11.4

36,100 8,1950.1 10.3

6 4151 10042 9866 10089 10087 9992 100

6 22.. .... ..

118 6

.. 17.918.9 13.9

1.2 4.640.4 1.4

0.0 0.20.0 0.00.3 0.20.0 0.1

.. 6.6



Country data

High-income group

Equatorial Guinea









Country data


Low-income group


Eritrea

430 1,258 571440 1,022 52121.4 36.5 28.04.0 3.8 3.5

75 44 39.. .. ..

66 334 308592 1,361 2,034

15.1 27.8 25.70.3 0.5 0.65.0 11.7 10.0101419

4

2.6 6,383 11,563.. 1.8 4.0.. 16.0 4.9

0.0 5.8 ..3,260 17,980 15,120

102 27,808 25,818

142 683 36378.0 58.2 66.2

52 553 24299.4 65.2 32.0

0.0 18.7 45.30.1 0.9 0.3

517 4,455 5,12520.8 3.2 4.5

95 84 9061 61 6557 48 5774 83 8614 31 374 23 32

52 42 47

61 41 54.. .. .... .. ..

68 109 95

.. 18.4 25.27.7 10.9 7.71.7 3.7 3.00.0 10.4 1.40.0 2.2 2.00.0 0.5 1.20.2 0.5 0.30.3 0.4 0.5

.. –1.2 15.2








15,260 39,86013,314 34,611

69.5 80.5–0.9 1.1

22 37.. ..

4,531 26,5152,596 5,349

52.1 28.40.1 0.0

20.4 12.91550

81.7 28,774–6.7 –1.7–4.1 1.826.5 16.5

.. 81,970

.. 15,496

4,155 5,00014.7 4.4

6,464 9,41591.0 62.00.2 11.2

11.9 11.4

9,486 8,19514.1 10.3

0 4198 10097 9899 10095 10094 9996 100

9 22.. .... ..4 6

26.4 17.913.3 13.9

5.5 4.61.4 1.40.0 0.20.3 0.00.6 0.20.0 0.1

16.3 6.6


Country data

High-income group


Estonia








370 1,258 571312 1,022 52117.0 36.5 28.04.1 3.8 3.5

36 44 390.5 .. ..

229 334 3081,761 1,361 2,034

12.2 27.8 25.71.1 0.5 0.6

18.4 11.7 10.033261425

24.1 6,383 11,5637.8 1.8 4.0

–1.7 16.0 4.9.. 5.8 .... 17,980 15,120.. 27,808 25,818

400 683 36393.3 58.2 66.2

54 553 2420.6 65.2 32.0

99.0 18.7 45.30.1 0.9 0.3

1,440 4,455 5,1254.6 3.2 4.594 84 9044 61 6534 48 5797 83 8621 31 3719 23 3229 42 47

47 41 5413 .. ..18 .. ..77 109 95

27.3 18.4 25.27.2 10.9 7.72.9 3.7 3.00.0 10.4 1.40.8 2.2 2.04.4 0.5 1.20.2 0.5 0.30.2 0.4 0.5

17.4 –1.2 15.2

Country data


Low-income group


Ethiopia









.. 39,860

.. 34,61141.1 80.51.5 1.1

2 37.. .... 26,515.. 5,349

0.1 28.40.0 0.0

.. 12.94180

415 28,7741.3 –1.77.6 1.8

.. 16.5

.. 81,970

.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.214.6 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

11 22.. .... .... 6

.. 17.913.3 13.9

.. 4.60.0 1.40.0 0.2

.. 0.00.2 0.2

.. 0.1

.. 6.6

Country data

High-income group


Faeroe Islands









3,720 4,248 1,7723,763 3,884 1,59552.2 48.6 38.7

1.9 3.6 2.7

23 48 46.. .. ..

1,864 610 7163,075 5,050 3,065

55.7 29.7 28.4–0.3 –0.4 0.31.3 15.0 9.9

6141361

42.1 101,299 40,2381.1 3.4 2.4

–10.3 9.1 10.00.06 1.4 2.9

10,020 137,690 143,440425 56,537 60,301

627 1,520 667.. 10.9 26.2.. 2,337 698.. 79.8 73.0.. 16.5 17.4

1.0 4.6 1.6

32,876 4,446 3,1210.3 10.9 20.261 73 8898 90 8795 84 84

100 97 9383 66 4771 58 3594 76 66

20 55 53.. .. .... .. ..

16 21 62

6.3 49.3 29.711.1 11.0 9.96.0 2.1 3.10.0 4.3 6.30.5 1.7 1.20.0 0.0 0.30.2 0.9 0.70.1 1.1 0.60.2 32.2 14.7


Country data

East Asia & Pacific

group



Fiji








47,760 39,86042,089 34,611

83.7 80.50.6 1.1

8 370.6 ..

47,514 26,5153,534 5,349

72.9 28.40.1 0.09.0 12.9

1661

165 28,7740.4 –1.7

–2.3 1.85.0 16.5

.. 81,970

.. 15,496

6,787 5,00022.6 4.4

16,483 9,41533.3 62.016.0 11.210.0 11.4

19,858 8,1951.5 10.3

3 41100 100100 98100 100100 100100 99100 100

15 22.. .... ..3 6

19.6 17.914.1 13.96.3 4.60.0 1.40.1 0.20.0 0.00.2 0.20.0 0.1

11.5 6.6


Country data

High-income group


Finland








42,420 39,86037,251 34,611

85.7 80.51.2 1.1

53 375.1 ..

57,973 26,5156,859 5,349

29.2 28.4–0.4 0.016.5 12.9

89

4328

680 28,774–2.0 –1.7–0.6 1.821.3 16.5

.. 81,970

.. 15,496

4,031 5,0006.0 4.4

7,729 9,4159.9 62.0

11.0 11.25.6 11.4

3,057 8,19515.8 10.3

12 41100 100100 98100 100100 100100 99100 100

12 22.. .... ..4 6

17.5 17.913.7 13.95.3 4.60.0 1.40.0 0.20.0 0.00.1 0.20.0 0.19.0 6.6


Country data

High-income group

Population (millions) 65.4 Land area (1,000 sq. km) 548 GDP ($ billions) 2,773.0

France








.. 39,860

.. 34,61151.4 80.51.2 1.1

12 37.. .... 26,515.. 5,349

43.7 28.4–4.0 0.00.4 12.9

1332747

15.8 28,7745.5 –1.7

18.1 1.80.06 16.5

6,000 81,970.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.23.3 11.4

38,264 8,195.. 10.3.. 41

100 100100 98100 100

98 10097 9999 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group

Population (thousands) 274 Land area (1,000 sq. km) 3.7 GDP ($ millions) ..

French Polynesia








8,080 1,258 6,5634,944 1,022 5,821

86.1 36.5 60.63.4 3.8 2.5

20 44 35.. .. ..

1,908 334 8691,698 1,361 3,944

85.4 27.8 34.80.0 0.5 0.0

15.1 11.7 13.3145

61119

32.2 6,383 97,4372.3 1.8 0.7

23.2 16.0 9.07.3 5.8 8.4

.. 17,980 33,3501,598 27,808 48,783

1,418 683 1,94852.9 58.2 8.1

1,004 553 2,94255.8 65.2 72.943.8 18.7 21.3

1.1 0.9 5.5

106,892 4,455 8,5500.1 3.2 5.638 84 6687 61 9341 48 8695 83 9833 31 7330 23 6233 42 81

7 41 42.. .. .... .. ..

66 109 20

.. 18.4 36.413.9 10.9 11.8

3.1 3.7 3.334.7 10.4 5.7

0.1 2.2 1.60.0 0.5 0.00.1 0.5 0.70.0 0.4 0.7

.. –1.2 19.2


Country data




Gabon








500 1,258 571446 1,022 52157.2 36.5 28.04.8 3.8 3.5

61 44 39.. .. ..

285 334 308869 1,361 2,034

47.6 27.8 25.7–0.4 0.5 0.61.5 11.7 10.0101023

4

45.0 6,383 11,5633.6 1.8 4.0

–4.1 16.0 4.90.06 5.8 ..

.. 17,980 15,120581 27,808 25,818

84 683 363.. 58.2 66.2.. 553 242.. 65.2 32.0.. 18.7 45.3

0.3 0.9 0.3

1,689 4,455 5,1252.4 3.2 4.528 84 9089 61 6585 48 5792 83 8668 31 3765 23 3270 42 47

60 41 54.. .. .... .. ..

101 109 95

12.6 18.4 25.28.0 10.9 7.73.1 3.7 3.00.0 10.4 1.40.0 2.2 2.00.7 0.5 1.20.4 0.5 0.30.5 0.4 0.56.1 –1.2 15.2


Country data


Low-income group

Population (millions) 1.8 Land area (1,000 sq. km) 10 GDP ($ millions) 898.3

Gambia, TheCountry

data

Sub- Saharan Africa group

Low-income group








2,860 7,734 1,7722,768 6,652 1,59552.9 64.7 38.7–0.5 0.3 2.7

36 28 464.0 .. ..

2,045 3,374 7162,201 2,740 3,065

39.4 38.7 28.40.1 0.0 0.33.7 7.5 9.9101190

27.1 5,790 40,238–6.3 –2.9 2.40.3 –0.5 10.0

0.45 10.4 2.9.. .. 143,440.. .. 60,301

700 3,015 66711.5 2.0 26.2

1,743 4,059 6987.5 65.4 73.0

92.5 18.8 17.41.3 7.1 1.6

12,958 12,498 3,1213.1 6.3 20.258 60 8898 96 8796 91 84

100 99 9395 84 4793 81 3596 87 66

49 21 53.. .. .... .. ..

21 21 62

14.2 26.1 29.711.2 12.3 9.92.8 3.6 3.10.2 9.3 6.30.3 0.8 1.20.0 0.0 0.30.4 0.7 0.71.2 0.3 0.63.7 6.2 14.7


Country data

Europe & Central

Asia group



Georgia








44,230 39,86038,601 34,611

73.9 80.50.2 1.1

48 372.2 ..

32,866 26,5156,461 5,349

31.8 28.40.0 0.0

42.4 12.957

2314

273 28,774–1.6 –1.7–2.3 1.840.3 16.5

.. 81,970

.. 15,496

4,003 5,0009.0 4.4

7,215 9,41559.3 62.0

3.3 11.29.0 11.4

1,308 8,19530.2 10.3

0 41100 100100 98100 100100 100100 99100 100

16 22.. .... ..4 6

23.5 17.913.8 13.9

4.4 4.60.2 1.40.0 0.20.0 0.00.2 0.20.0 0.1

13.8 6.6


Country data

High-income group


Germany








1,410 1,258 1,7721,214 1,022 1,59551.9 36.5 38.74.2 3.8 2.7

70 44 460.2 .. ..

.. 334 7161,594 1,361 3,065

21.2 27.8 28.42.1 0.5 0.3

14.7 11.7 9.9161744

115

353 6,383 40,238–0.8 1.8 2.420.8 16.0 10.00.01 5.8 2.9

.. 17,980 143,440137 27,808 60,301

382 683 66763.8 58.2 26.2298 553 69816.4 65.2 73.083.6 18.7 17.4

0.3 0.9 1.6

1,214 4,455 3,1213.2 3.2 20.266 84 8886 61 8780 48 8491 83 9314 31 478 23 35

19 42 66

22 41 536 .. ..

20 .. ..78 109 62

9.1 18.4 29.79.6 10.9 9.94.7 3.7 3.12.1 10.4 6.37.1 2.2 1.21.3 0.5 0.30.2 0.5 0.70.0 0.4 0.6

–6.6 –1.2 14.7


Country data


Lower-income group


Ghana








24,490 39,86021,389 34,611

61.5 80.50.7 1.1

63 3716.9 ..

.. 26,5154,851 5,349

30.5 28.4–0.8 0.016.2 12.9

10127455

214 28,774–2.9 –1.713.7 1.82.6 16.5

.. 81,970

.. 15,496

2,440 5,0003.9 4.4

5,242 9,41581.4 62.013.0 11.2

8.4 11.4

5,133 8,19516.3 10.3

89 41100 10099 98

100 10098 10097 9999 100

27 22.. .... ..4 6

5.5 17.913.7 13.93.2 4.60.3 1.40.1 0.20.0 0.00.2 0.20.4 0.1

–5.9 6.6


Country data

High-income group

GreecePopulation (millions) 11.3 Land area (1,000 sq. km) 129 GDP ($ billions) 289.6








26,020 39,860.. 34,611

84.7 80.50.4 1.1

1 37.. .... 26,515.. 5,349

0.0 28.40.0 0.0

40.5 12.97170

214 28,7741.9 –1.7

.. 1.836.3 16.5

.. 81,970

.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.210.2 11.4

10,662,187 8,195.. 10.3.. 41

100 100100 98100 100100 100100 99100 100

.. 22

.. ..

.. ..

.. 6

.. 17.914.0 13.9

.. 4.60.0 1.40.0 0.2

.. 0.00.4 0.2

.. 0.1

.. 6.6



Country data

High-income group

Greenland








7,350 8,574 6,563.. 7,648 5,821

39.2 79.1 60.61.2 2.0 2.5

32 37 352.0 .. ..

2,617 3,448 8691,032 3,838 3,944

50.0 46.8 34.80.0 0.4 0.01.7 20.2 13.3

31

193

2.3 19,009 97,4370.9 0.1 0.7

.. 11.8 9.00.02 13.1 8.4150 15,100 33,3501.4 39,997 48,783

784 1,312 1,948.. 16.7 8.1.. 1,973 2,942.. 39.0 72.9.. 53.7 21.3

2.4 2.7 5.5

.. 22,810 8,550

.. 2.0 5.6

.. 68 66

.. 94 93

.. 81 8697 98 9897 79 7397 59 6296 84 81

19 28 42.. .. .... .. ..

13 19 20

–5.9 21.1 36.412.1 12.2 11.83.8 5.0 3.30.0 4.5 5.70.0 1.9 1.6

.. 0.0 0.00.2 0.2 0.7

.. 0.3 0.7

.. 6.8 19.2


Country data


group



Grenada








.. 39,860

.. 34,61193.2 80.5

1.6 1.1

33 37.. .... 26,515

2,421 5,349

47.9 28.40.0 0.0

26.4 12.92

1493

0.42 28,774–2.1 –1.7–3.0 1.80.77 16.5220 81,9700.97 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 41100 100100 98100 10099 10098 9999 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group


Guam








2,870 8,574 1,7722,681 7,648 1,59549.8 79.1 38.7

3.3 2.0 2.7

41 37 46.. .. ..

2,823 3,448 7161,987 3,838 3,065

33.6 46.8 28.41.4 0.4 0.3

30.6 20.2 9.916142573

41.2 19,009 40,2385.1 0.1 2.4

16.3 11.8 10.012.5 13.1 2.9

.. 15,100 143,440177 39,997 60,301

713 1,312 66762.0 16.7 26.2567 1,973 69833.1 39.0 73.037.3 53.7 17.41.1 2.7 1.6

7,400 22,810 3,1212.7 2.0 20.255 68 8892 94 8787 81 8498 98 9378 79 4770 59 3587 84 66

51 28 53.. .. .... .. ..

30 19 62

11.0 21.1 29.710.7 12.2 9.92.9 5.0 3.10.5 4.5 6.30.9 1.9 1.20.7 0.0 0.30.2 0.2 0.70.2 0.3 0.60.7 6.8 14.7



Country data


group


Guatemala








430 1,258 571350 1,022 52135.5 36.5 28.0

3.9 3.8 3.5

58 44 39.. .. ..

237 334 3081,379 1,361 2,034

26.5 27.8 25.70.5 0.5 0.66.8 11.7 10.021176622

115 6,383 11,5634.7 1.8 4.0

15.3 16.0 4.90.0 5.8 ..

.. 17,980 15,1202,033 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

22,110 4,455 5,1250.7 3.2 4.584 84 9074 61 6565 48 5790 83 8618 31 3711 23 3232 42 47

55 41 548 .. ..

16 .. ..126 109 95

–7.2 18.4 25.28.5 10.9 7.72.3 3.7 3.00.0 10.4 1.4

12.0 2.2 2.02.3 0.5 1.20.2 0.5 0.30.7 0.4 0.5

–28.4 –1.2 15.2


Country data


Low-income group


Guinea








600 1,258 571572 1,022 521

43.9 36.5 28.04.1 3.8 3.5

58 44 39.. .. .... 334 308

1,340 1,361 2,034

71.6 27.8 25.70.5 0.5 0.6

16.1 11.7 10.012

9314

6.8 6,383 11,5631.1 1.8 4.0

.. 16.0 4.945.8 5.8 ..

.. 17,980 15,1202,982 27,808 25,818

67 683 363.. 58.2 66.2.. 553 242.. 65.2 32.0.. 18.7 45.3

0.2 0.9 0.3

10,342 4,455 5,1251.1 3.2 4.582 84 9064 61 6553 48 5791 83 8620 31 37

9 23 3244 42 47

48 41 54.. .. .... .. ..

161 109 95

.. 18.4 25.28.0 10.9 7.72.3 3.7 3.00.0 10.4 1.40.0 2.2 2.00.5 0.5 1.20.3 0.5 0.31.2 0.4 0.5

.. –1.2 15.2


Country data


Low-income group

Population (millions) 1.5 Land area (1,000 sq. km) 28 GDP ($ millions) 967.8

Guinea-Bissau








2,900 8,574 1,7722,686 7,648 1,595

28.4 79.1 38.70.0 2.0 2.7

9 37 46.. .. ..

3,483 3,448 7164,741 3,838 3,065

77.2 46.8 28.40.0 0.4 0.35.0 20.2 9.910132821

43.4 19,009 40,2380.8 0.1 2.48.2 11.8 10.00.0 13.1 2.9

.. 15,100 143,440396 39,997 60,301

667 1,312 667.. 16.7 26.2.. 1,973 698.. 39.0 73.0.. 53.7 17.4

2.1 2.7 1.6

318,766 22,810 3,1210.7 2.0 20.298 68 8894 94 8793 81 8498 98 9384 79 4782 59 3588 84 66

20 28 53.. .. .... .. ..

36 19 62

14.4 21.1 29.710.4 12.2 9.93.4 5.0 3.10.0 4.5 6.3

10.5 1.9 1.20.0 0.0 0.30.5 0.2 0.70.1 0.3 0.6

–1.3 6.8 14.7


Country data


group



Guyana








700 8,574 571666 7,648 521

53.3 79.1 28.04.7 2.0 3.5

64 37 395.4 .. ..

.. 3,448 308949 3,838 2,034

3.6 46.8 25.70.8 0.4 0.60.3 20.2 10.0

5132129

17.1 19,009 11,5635.7 0.1 4.0

.. 11.8 4.90.0 13.1 ..

450 15,100 15,120136 39,997 25,818

229 1,312 36369.8 16.7 66.2

24 1,973 24269.8 39.0 32.030.2 53.7 45.3

0.2 2.7 0.3

1,285 22,810 5,1259.2 2.0 4.578 68 9069 94 6551 81 5785 98 8617 79 3710 59 3224 84 47

35 28 5428 .. ..24 .. ..70 19 95

24.5 21.1 25.28.2 12.2 7.71.5 5.0 3.00.0 4.5 1.40.0 1.9 2.00.6 0.0 1.20.2 0.2 0.30.5 0.3 0.5

16.4 6.8 15.2


Country data


group

Low-income group


Haiti








1,980 8,574 1,7721,889 7,648 1,595

52.2 79.1 38.73.4 2.0 2.7

29 37 46.. .. ..

2,163 3,448 7161,233 3,838 3,065

45.3 46.8 28.42.1 0.4 0.3

18.2 20.2 9.97

1128

107

46.1 19,009 40,238–2.7 0.1 2.412.0 11.8 10.0

1.9 13.1 2.9810 15,100 143,440628 39,997 60,301

601 1,312 66743.0 16.7 26.2671 1,973 698

53.9 39.0 73.044.0 53.7 17.4

1.0 2.7 1.6

12,371 22,810 3,1211.2 2.0 20.258 68 8887 94 8779 81 8495 98 9377 79 4769 59 3585 84 66

34 28 5317 .. ..16 .. ..21 19 62

18.9 21.1 29.710.4 12.2 9.93.5 5.0 3.10.0 4.5 6.30.6 1.9 1.20.0 0.0 0.30.4 0.2 0.70.2 0.3 0.6

10.8 6.8 14.7


Country data


group



Honduras








36,010 39,86031,588 34,611

100.0 80.51.0 1.1

.. 37

.. ..

.. 26,515

.. 5,349

.. 28.4

.. 0.041.8 12.9

22013

6

174 28,774–1.3 –1.7–5.1 1.8

.. 16.5

.. 81,970

.. 15,496

1,951 5,0000.4 4.4

5,923 9,415100.0 62.0

0.0 11.25.3 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

28.4 17.913.2 13.9

3.1 4.60.0 1.40.0 0.20.0 0.00.1 0.2

.. 0.118.1 6.6


Country data

High-income group


Hong Kong SAR, China








12,730 39,86011,364 34,611

69.4 80.50.1 1.1

59 371.8 ..

8,522 26,5155,099 5,349

22.5 28.4–0.6 0.05.1 12.9

21099

22.6 28,774–3.9 –1.7–0.6 1.8

.. 16.5

.. 81,970

.. 15,496

2,567 5,0007.3 4.4

3,876 9,41549.3 62.0

0.5 11.24.9 11.4

602 8,19593.2 10.3

6 41100 100100 98100 100100 100100 99100 100

15 22.. .... ..6 6

22.0 17.913.2 13.9

4.9 4.60.5 1.40.0 0.20.0 0.00.3 0.20.0 0.1

12.9 6.6


Country data

High-income group


Hungary








34,820 39,86031,219 34,611

93.7 80.51.2 1.1

16 37.. ..

56,880 26,515.. 5,349

0.3 28.4–5.0 0.019.7 12.9

61

120

1,160 28,774–1.3 –1.73.0 1.83.9 16.5

.. 81,970

.. 15,496

16,882 5,0000.0 4.4

51,440 9,4150.0 62.0

73.8 11.26.4 11.4

532,892 8,1950.1 10.342 41

100 100100 98100 100100 100100 99100 100

18 22.. .... ..3 6

8.6 17.916.5 13.9

9.0 4.60.0 1.40.0 0.20.0 0.00.1 0.20.1 0.10.8 6.6


Country data

High-income group

Population (thousands) 319 Land area (1,000 sq. km) 100a GDP ($ billions) 14.0

Iceland








1,420 1,313 1,7721,283 1,201 1,595

31.3 30.9 38.72.6 2.8 2.7

60 55 4635.2 .. ..523 550 716

2,883 2,959 3,065

23.1 17.1 28.4–0.5 –0.3 0.35.0 5.9 9.99480

212300

8,879 13,219 40,2382.0 2.3 2.47.4 8.1 10.01.7 1.7 2.9

5,790 15,440 143,4404,326 10,343 60,301

566 519 66724.6 26.7 26.2616 555 698

83.1 80.6 73.011.9 14.0 17.41.6 1.4 1.6

1,165 1,197 3,12152.6 51.6 20.2

90 91 8892 90 8790 88 8497 96 9334 38 4723 28 3558 60 66

52 62 539 .. ..9 .. ..

61 62 62

35.0 33.5 29.79.3 9.2 9.93.1 2.8 3.13.1 2.8 6.31.3 1.0 1.20.5 0.6 0.30.9 0.8 0.70.6 0.6 0.6

22.5 21.6 14.7


Country data

South Asia

group



India








2,940 4,248 1,7722,784 3,884 1,595

50.7 48.6 38.73.7 3.6 2.7

30 48 46.. .. ..

753 610 7164,886 5,050 3,065

51.7 29.7 28.40.5 –0.4 0.3

14.1 15.0 9.9184122141385

13,651 101,299 40,2383.7 3.4 2.4

13.1 9.1 10.02.0 1.4 2.9

51,020 137,690 143,44031,894 56,537 60,301

867 1,520 66726.0 10.9 26.2641 2,337 698

84.0 79.8 73.010.4 16.5 17.41.9 4.6 1.6

8,332 4,446 3,1215.6 10.9 20.282 73 8882 90 8774 84 8492 97 9354 66 4739 58 3573 76 66

60 55 53.. .. ..

14 .. ..32 21 62

32.8 49.3 29.710.7 11.0 9.92.7 2.1 3.16.2 4.3 6.31.1 1.7 1.20.0 0.0 0.30.4 0.9 0.70.6 1.1 0.6

16.5 32.2 14.7


Country data

East Asia & Pacific

group



Indonesia








4,520 3,866 6,5633,106 3,285 5,82169.1 58.9 60.6

2.4 2.5 2.5

30 23 3519.0 .. ..

3,104 2,627 8692,469 2,475 3,944

6.8 2.4 34.80.0 –0.1 0.07.1 3.9 13.3162230

2

735 3,538 97,4373.4 2.4 0.7

11.1 13.1 9.01.7 2.0 8.4

700 5,700 33,350192 217 48,783

2,817 1,372 1,9480.1 0.9 8.1

2,652 1,658 2,94295.8 92.9 72.9

4.1 5.4 21.38.2 4.1 5.5

1,718 673 8,55072.6 122.1 5.6

92 86 6696 89 9392 81 8697 94 98

100 88 73100 80 62100 94 81

56 59 42.. .. .... .. ..

25 32 20

.. 27.0 36.411.3 10.8 11.8

4.1 4.5 3.319.1 15.2 5.70.6 0.6 1.60.0 0.1 0.01.3 0.6 0.70.8 0.9 0.7

.. 6.1 19.2


Country data

Middle East &

N. Africa group



Iran, Islamic Rep.








2,640 3,866 1,7721,311 3,285 1,59566.5 58.9 38.7

2.6 2.5 2.7

19 23 46.. .. .... 2,627 716

1,799 2,475 3,065

1.9 2.4 28.4–0.1 –0.1 0.30.1 3.9 9.91316111

51.8 3,538 40,2381.6 2.4 2.4

12.9 13.1 10.00.0 2.0 2.9

.. 5,700 143,440

.. 217 60,301

1,180 1,372 6670.1 0.9 26.2

1,183 1,658 69890.5 92.9 73.0

9.5 5.4 17.43.5 4.1 1.6

1,068 673 3,121187.5 122.1 20.2

79 86 8879 89 8756 81 8491 94 9373 88 4767 80 3576 94 66

88 59 53.. .. .... .. ..

38 32 62

.. 27.0 29.710.8 10.8 9.9

.. 4.5 3.150.6 15.2 6.3

0.0 0.6 1.20.0 0.1 0.30.9 0.6 0.73.5 0.9 0.6

.. 6.1 14.7


Country data

Middle East &

N. Africa group



Iraq








39,150 39,86032,178 34,611

62.2 80.51.7 1.1

66 37.. ..

13,931 26,5158,440 5,349

10.9 28.4–1.5 0.01.8 12.9

53

211

288 28,774–0.1 –1.72.4 1.8

0.18 16.5.. 81,970.. 15,496

3,218 5,0002.6 4.4

6,025 9,41579.0 62.0

2.1 11.29.3 11.4

10,707 8,1951.6 10.310 41

100 100100 98100 10099 10098 99

100 100

13 22.. .... ..4 6

17.1 17.917.2 13.95.9 4.60.0 1.40.1 0.20.0 0.00.2 0.20.0 0.15.5 6.6


Country data

High-income group


Ireland








48,910 39,860.. 34,611

50.6 80.50.7 1.1

75 37.. .... 26,515.. 5,349

6.1 28.40.0 0.0

.. 12.90020

6.8 28,7742.5 –1.7

.. 1.8

.. 16.5

.. 81,970

.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

.. 17.912.8 13.9

.. 4.60.0 1.40.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group


Isle of Man








28,930 39,86026,158 34,611

91.9 80.52.5 1.1

24 3731.8 ..

.. 26,5153,407 5,349

7.1 28.4–0.1 0.017.8 12.9

151436

0

22.8 28,774–5.6 –1.71.5 1.8

0.45 16.5<10 81,970

.. 15,496

3,005 5,0000.1 4.4

6,856 9,41599.7 62.00.0 11.29.0 11.4

97 8,195260.5 10.3

58 41100 100100 98100 100100 100100 99100 100

21 22.. .... ..4 6

15.1 17.913.9 13.9

5.6 4.60.2 1.40.1 0.20.0 0.00.2 0.20.1 0.16.2 6.6



Country data

High-income group

Israel








35,320 39,86030,844 34,611

68.4 80.50.4 1.1

47 3716.9 ..

31,254 26,5155,682 5,349

31.4 28.4–0.9 0.015.1 12.9

7104662

378 28,774–2.5 –1.70.2 1.8

17.4 16.5.. 81,970.. 15,496

2,815 5,0005.1 4.4

5,384 9,41573.3 62.017.1 11.26.7 11.4

3,005 8,19524.9 10.3

44 41100 100100 98100 100

.. 100

.. 99

.. 100

21 22.. .... ..4 6

16.5 17.913.8 13.9

4.4 4.60.1 1.40.0 0.20.0 0.00.2 0.20.1 0.16.8 6.6



Country data

High-income group

Italy








.. 8,574 6,5634,489 7,648 5,821

52.1 79.1 60.60.8 2.0 2.5

41 37 35.. .. ..

3,016 3,448 8691,270 3,838 3,944

31.1 46.8 34.80.1 0.4 0.0

18.9 20.2 13.35

1022

206

16.3 19,009 97,4370.5 0.1 0.7

–5.0 11.8 9.04.2 13.1 8.4

1,240 15,100 33,35097.5 39,997 48,783

1,131 1,312 1,94814.6 16.7 8.1

1,223 1,973 2,94293.6 39.0 72.9

3.6 53.7 21.33.2 2.7 5.5

3,475 22,810 8,5506.2 2.0 5.634 68 6693 94 9388 81 8698 98 9880 79 7382 59 6278 84 81

27 28 42.. .. .... .. ..

18 19 20

8.7 21.1 36.411.5 12.2 11.85.8 5.0 3.30.0 4.5 5.71.1 1.9 1.60.0 0.0 0.00.7 0.2 0.70.1 0.3 0.71.1 6.8 19.2



Country data


group


Jamaica








44,900 39,86040,800 34,611

91.1 80.50.9 1.1

13 3734.5 ..

40,385 26,5154,911 5,349

68.6 28.40.0 0.0

16.5 12.9274065

7

4,756 28,774–4.3 –1.7–1.9 1.85.5 16.5

2,900 81,9707.4 15,496

3,898 5,0001.4 4.4

8,394 9,41561.8 62.0

7.4 11.28.6 11.4

3,364 8,19520.9 10.3

63 41100 100100 98100 100100 100100 99100 100

24 22.. .... ..3 6

21.1 17.913.7 13.93.2 4.60.0 1.40.0 0.20.0 0.00.1 0.20.3 0.1

10.1 6.6



Country data

High-income group

Japan








4,380 3,866 6,5634,050 3,285 5,821

82.7 58.9 60.63.8 2.5 2.5

11 23 359.6 .. ..

3,760 2,627 869812 2,475 3,944

1.1 2.4 34.80.0 –0.1 0.01.9 3.9 13.3131013

1

1.1 3,538 97,4371.7 2.4 0.7

11.4 13.1 9.030.0 2.0 8.4<50 5,700 33,350

.. 217 48,783

1,191 1,372 1,9480.1 0.9 8.1

2,226 1,658 2,94299.5 92.9 72.9

0.4 5.4 21.33.8 4.1 5.5

110 673 8,550138.0 122.1 5.6

65 86 6697 89 9392 81 8698 94 9898 88 7398 80 6298 94 81

30 59 421 .. ..

16 .. ..21 32 20

13.5 27.0 36.410.9 10.8 11.8

5.6 4.5 3.30.0 15.2 5.71.7 0.6 1.60.0 0.1 0.00.7 0.6 0.70.2 0.9 0.75.6 6.1 19.2


Country data

Middle East &

N. Africa group



Jordan








8,260 7,734 6,5635,654 6,652 5,821

53.6 64.7 60.6–0.2 0.3 2.5

77 28 35.. .. ..

2,275 3,374 8691,687 2,740 3,944

1.2 38.7 34.80.2 0.0 0.02.5 7.5 13.316221517

43.3 5,790 97,437–2.8 –2.9 0.7

–15.9 –0.5 9.0.. 10.4 8.4.. .. 33,350.. .. 48,783

4,595 3,015 1,9480.1 2.0 8.1

4,728 4,059 2,94290.3 65.4 72.9

9.7 18.8 21.314.0 7.1 5.5

3,886 12,498 8,55032.9 6.3 5.6

66 60 6695 96 9390 91 8699 99 9897 84 7398 81 6297 87 81

18 21 42.. .. .... .. ..

28 21 20

34.6 26.1 36.414.1 12.3 11.84.4 3.6 3.3

26.0 9.3 5.72.0 0.8 1.60.0 0.0 0.01.2 0.7 0.70.3 0.3 0.7

–4.6 6.2 19.2


Country data

Europe & Central

Asia group



Kazakhstan








820 1,258 571745 1,022 521

24.0 36.5 28.04.4 3.8 3.5

48 44 390.0 .. ..

350 334 3081,514 1,361 2,034

6.1 27.8 25.70.3 0.5 0.6

11.8 11.7 10.0283468

128

204 6,383 11,563–0.5 1.8 4.014.7 16.0 4.910.5 5.8 ..630 17,980 15,120610 27,808 25,818

483 683 36372.8 58.2 66.2156 553 242

30.5 65.2 32.045.7 18.7 45.30.3 0.9 0.3

497 4,455 5,12513.2 3.2 4.5

79 84 9059 61 6552 48 5782 83 8632 31 3732 23 3232 42 47

30 41 548 .. ..

17 .. ..73 109 95

13.5 18.4 25.26.7 10.9 7.75.9 3.7 3.00.0 10.4 1.40.1 2.2 2.01.1 0.5 1.20.3 0.5 0.30.1 0.4 0.5

11.2 –1.2 15.2



Country data


Low-income group

Kenya








2,030 4,248 1,772.. 3,884 1,595

43.9 48.6 38.72.7 3.6 2.7

42 48 46.. .. ..

1,327 610 716.. 5,050 3,065

15.0 29.7 28.40.0 –0.4 0.3

23.2 15.0 9.916

110

69.6 101,299 40,2384.3 3.4 2.4

–0.8 9.1 10.022.6 1.4 2.9

2,940 137,690 143,4402.6 56,537 60,301

116 1,520 667.. 10.9 26.2.. 2,337 698.. 79.8 73.0.. 16.5 17.4

0.5 4.6 1.6

.. 4,446 3,121

.. 10.9 20.2

.. 73 8863 90 8753 84 8477 97 9334 66 4722 58 3549 76 66

.. 55 53

.. .. ..

.. .. ..47 21 62

.. 49.3 29.76.6 11.0 9.9

.. 2.1 3.10.0 4.3 6.30.0 1.7 1.2

.. 0.0 0.30.1 0.9 0.7

.. 1.1 0.6

.. 32.2 14.7


Country data

East Asia & Pacific

group



Kiribati








.. 4,248 571

.. 3,884 52160.3 48.6 28.0

1.1 3.6 3.5

21 48 39.. .. .... 610 308

3,749 5,050 2,034

46.0 29.7 25.72.0 –0.4 0.65.9 15.0 10.0

925146

713 101,299 11,563–4.0 3.4 4.0–2.7 9.1 4.90.11 1.4 ..

.. 137,690 15,120

.. 56,537 25,818

761 1,520 3635.7 10.9 66.2

749 2,337 24238.1 79.8 32.061.9 16.5 45.3

3.1 4.6 0.3

2,740 4,446 5,12512.9 10.9 4.5

76 73 9098 90 6597 84 5799 97 8680 66 3771 58 3286 76 47

52 55 54.. .. .... .. ..

33 21 95

.. 49.3 25.2

.. 11.0 7.7

.. 2.1 3.0

.. 4.3 1.4

.. 1.7 2.0

.. 0.0 1.2

.. 0.9 0.30.6 1.1 0.5

.. 32.2 15.2


Country data

East Asia & Pacific

group

Low-income group

Population (millions) 24.5 Land area (1,000 sq. km) 120 GDP ($ millions) ..

Korea, Dem. People’s Rep.








20,870 39,86019,551 34,611

83.2 80.51.3 1.1

18 3751.6 ..

20,559 26,5157,038 5,349

64.0 28.40.1 0.02.4 12.9

92919

4

3,261 28,774–1.6 –1.73.1 1.83.9 16.5

.. 81,970

.. 15,496

5,060 5,0001.4 4.4

9,744 9,41568.7 62.0

0.7 11.210.4 11.4

1,303 8,19539.3 10.3

62 4198 10088 98

100 100100 100100 99100 100

30 22.. .... ..5 6

31.4 17.913.0 13.94.2 4.60.0 1.40.0 0.20.0 0.00.4 0.20.4 0.1

21.8 6.6


Country data

High-income group


Korea, Rep.








3,510 7,734 1,772.. 6,652 1,595.. 64.7 38.7.. 0.3 2.7

52 28 46.. .. .... 3,374 716.. 2,740 3,065

.. 38.7 28.4

.. 0.0 0.3

.. 7.5 9.9

..

..

..

..

.. 5,790 40,238

.. –2.9 2.4

.. –0.5 10.0

.. 10.4 2.9

.. .. 143,440

.. .. 60,301

1,372 3,015 6679.7 2.0 26.2

2,650 4,059 69897.0 65.4 73.03.0 18.8 17.4

.. 7.1 1.6

.. 12,498 3,121

.. 6.3 20.2

.. 60 88

.. 96 87

.. 91 84

.. 99 93

.. 84 47

.. 81 35

.. 87 66

.. 21 53

.. .. ..

.. .. ..

.. 21 62

.. 26.1 29.710.2 12.3 9.9

.. 3.6 3.10.0 9.3 6.31.8 0.8 1.2

.. 0.0 0.3

.. 0.7 0.7

.. 0.3 0.6

.. 6.2 14.7


Country data

Europe & Central

Asia group



Kosovo








48,900 39,86030,970 34,611

98.3 80.51.4 1.1

9 37.. .... 26,515

8,648 5,349

0.4 28.4–2.6 0.01.6 12.9

68

110

4.9 28,7740.0 –1.7

.. 1.80.01 16.5110 81,970

0.05 15,496

12,204 5,0000.0 4.4

18,320 9,415100.0 62.0

0.0 11.230.3 11.4

0 8,195.. 10.3

54 4199 10099 9899 100

100 100100 99100 100

91 22.. .... ..

11 6

45.8 17.96.5 13.93.2 4.6

29.3 1.40.0 0.20.0 0.00.4 0.20.5 0.1

12.2 6.6


KuwaitPopulation (millions) 2.8 Land area (1,000 sq. km) 18 GDP ($ billions) 176.6

Country data

High-income group








900 7,734 571829 6,652 52135.4 64.7 28.0

0.8 0.3 3.5

55 28 399.4 .. ..

1,022 3,374 3082,603 2,740 2,034

5.1 38.7 25.7–1.1 0.0 0.66.9 7.5 10.0

612

314

0.42 5,790 11,563–11.2 –2.9 4.0–4.2 –0.5 4.9

.. 10.4 ..

.. .. 15,120

.. .. 25,818

536 3,015 3630.1 2.0 66.2

1,375 4,059 2429.0 65.4 32.0

91.0 18.8 45.31.2 7.1 0.3

8,873 12,498 5,12520.6 6.3 4.5

94 60 9090 96 6585 91 5799 99 8693 84 3793 81 3294 87 47

35 21 54.. .. .... .. ..

31 21 95

19.9 26.1 25.29.7 12.3 7.76.0 3.6 3.00.7 9.3 1.49.0 0.8 2.00.0 0.0 1.20.9 0.7 0.30.4 0.3 0.55.1 6.2 15.2



Country data

Europe & Central

Asia group

Low-income group

Kyrgyz Republic








1,130 4,248 1,772973 3,884 1,595

34.2 48.6 38.75.7 3.6 2.7

10 48 46.. .. ..

456 610 7164,045 5,050 3,065

67.9 29.7 28.40.5 –0.4 0.3

16.6 15.0 9.945245424

117 101,299 40,2382.6 3.4 2.4

10.8 9.1 10.0.. 1.4 2.9.. 137,690 143,440.. 56,537 60,301

.. 1,520 667

.. 10.9 26.2

.. 2,337 698

.. 79.8 73.0

.. 16.5 17.40.3 4.6 1.6

30,280 4,446 3,1212.2 10.9 20.293 73 8867 90 8762 84 8477 97 9363 66 4750 58 3589 76 66

45 55 53.. .. .... .. ..

42 21 62

17.7 49.3 29.79.8 11.0 9.91.1 2.1 3.10.0 4.3 6.3

10.5 1.7 1.20.0 0.0 0.30.2 0.9 0.70.8 1.1 0.6

–2.6 32.2 14.7


Lao PDRCountry

data

East Asia & Pacific

group

Lower middle-incomegroup









13,320 7,734 6,56312,053 6,652 5,821

67.7 64.7 60.6–1.3 0.3 2.5

29 28 350.1 .. ..

3,837 3,374 8692,748 2,740 3,944

54.1 38.7 34.8–0.3 0.0 0.018.0 7.5 13.3

1660

156 5,790 97,437–5.0 –2.9 0.7–6.5 –0.5 9.06.7 10.4 8.4

.. .. 33,350

.. .. 48,783

1,971 3,015 1,94829.3 2.0 8.1

3,026 4,059 2,94245.1 65.4 72.953.1 18.8 21.3

3.0 7.1 5.5

8,133 12,498 8,5502.5 6.3 5.612 60 6699 96 9396 91 86

100 99 9878 84 7371 81 6282 87 81

12 21 42.. .. .... .. ..8 21 20

25.9 26.1 36.412.3 12.3 11.8

5.6 3.6 3.30.0 9.3 5.70.0 0.8 1.60.5 0.0 0.00.2 0.7 0.70.0 0.3 0.7

18.5 6.2 19.2


Country data

Europe & Central

Asia group



Latvia








9,140 3,866 6,5638,207 3,285 5,821

87.2 58.9 60.62.0 2.5 2.5

62 23 3520.2 .. ..

44,019 2,627 8692,802 2,475 3,944

13.4 2.4 34.8–0.4 –0.1 0.00.5 3.9 13.3109

221

5.1 3,538 97,4374.8 2.4 0.7

14.1 13.1 9.00.11 2.0 8.4

.. 5,700 33,350

.. 217 48,783

1,526 1,372 1,9481.9 0.9 8.1

3,569 1,658 2,94294.7 92.9 72.95.3 5.4 21.35.0 4.1 5.5

1,127 673 8,55027.3 122.1 5.6

60 86 66100 89 93100 81 86100 94 98

98 88 7387 80 62

100 94 81

25 59 42.. .. .... .. ..9 32 20

11.6 27.0 36.412.0 10.8 11.8

1.6 4.5 3.30.0 15.2 5.70.0 0.6 1.60.0 0.1 0.00.4 0.6 0.70.1 0.9 0.70.7 6.1 19.2


LebanonCountry

data

Middle East &

N. Africa group










1,210 1,258 1,7721,222 1,022 1,595

27.6 36.5 38.74.6 3.8 2.7

76 44 46.. .. ..

200 334 716664 1,361 3,065

1.5 27.8 28.4–0.5 0.5 0.30.5 11.7 9.9

2714

0.35 6,383 40,2387.4 1.8 2.4

13.8 16.0 10.0.. 5.8 2.9.. 17,980 143,440.. 27,808 60,301

9 683 667.. 58.2 26.2.. 553 698.. 65.2 73.0.. 18.7 17.4.. 0.9 1.6

2,384 4,455 3,1211.0 3.2 20.220 84 8878 61 8773 48 8491 83 9326 31 4724 23 3532 42 66

38 41 53.. .. .... .. ..

86 109 62

12.5 18.4 29.77.3 10.9 9.99.7 3.7 3.10.0 10.4 6.30.0 2.2 1.21.0 0.5 0.3

.. 0.5 0.70.1 0.4 0.6

.. –1.2 14.7



Country data



Lesotho








330 1,258 571303 1,022 521

48.2 36.5 28.03.9 3.8 3.5

27 44 39.. .. ..

716 334 3081,200 1,361 2,034

44.6 27.8 25.70.7 0.5 0.61.8 11.7 10.018135347

8.0 6,383 11,5631.0 1.8 4.0

.. 16.0 4.90.0 5.8 ..

.. 17,980 15,120109 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

48,443 4,455 5,1250.1 3.2 4.534 84 9073 61 6560 48 5788 83 8618 31 37

7 23 3229 42 47

31 41 549 .. ..

20 .. ..78 109 95

32.9 18.4 25.27.9 10.9 7.73.1 3.7 3.00.0 10.4 1.41.8 2.2 2.02.9 0.5 1.20.5 0.5 0.30.4 0.4 0.5

22.6 –1.2 15.2


LiberiaCountry

data


Low-income group









12,320 3,866 6,5635,845 3,285 5,821

77.7 58.9 60.62.0 2.5 2.5

9 23 35.. .. .... 2,627 869

614 2,475 3,944

0.1 2.4 34.80.0 –0.1 0.00.1 3.9 13.312

4243

30.2 3,538 97,4370.9 2.4 0.76.0 13.1 9.0

0.05 2.0 8.4.. 5,700 33,350.. 217 48,783

3,013 1,372 1,9480.9 0.9 8.1

4,270 1,658 2,942100.0 92.9 72.9

0.0 5.4 21.310.0 4.1 5.5

109 673 8,550618.0 122.1 5.6

83 86 66.. 89 93.. 81 86.. 94 98

97 88 7396 80 6297 94 81

65 59 42.. .. .... .. ..

16 32 20

66.8 27.0 36.412.0 10.8 11.8

.. 4.5 3.329.0 15.2 5.7

0.0 0.6 1.60.0 0.1 0.00.7 0.6 0.71.4 0.9 0.7

.. 6.1 19.2



Country data

Middle East &

N. Africa group


Libya








137,070 39,860.. 34,611

14.4 80.50.3 1.1

41 37.. .... 26,515.. 5,349

43.1 28.40.0 0.0

42.4 12.90000

.. 28,774

.. –1.7

.. 1.8

.. 16.5

.. 81,970

.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

24 22.. .... ..2 6

.. 17.913.3 13.9

2.4 4.60.0 1.40.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6



Country data

High-income group

Liechtenstein








12,980 7,734 6,56311,775 6,652 5,821

67.1 64.7 60.6–1.0 0.3 2.5

45 28 35.. .. ..

5,996 3,374 8693,030 2,740 3,944

34.6 38.7 34.8–0.7 0.0 0.014.5 7.5 13.3

3661

142 5,790 97,437–4.1 –2.9 0.7–1.7 –0.5 9.010.7 10.4 8.4

.. .. 33,350

.. .. 48,783

2,107 3,015 1,94814.3 2.0 8.1

3,271 4,059 2,94276.8 65.4 72.910.8 18.8 21.33.8 7.1 5.5

5,135 12,498 8,55015.3 6.3 5.6

3 60 6692 96 9381 91 8698 99 9886 84 7369 81 6295 87 81

16 21 42.. .. .... .. ..6 21 20

18.1 26.1 36.412.8 12.3 11.8

5.4 3.6 3.30.1 9.3 5.70.0 0.8 1.60.6 0.0 0.00.3 0.7 0.70.1 0.3 0.79.6 6.2 19.2


Country data

Europe & Central

Asia group



Lithuania








77,390 39,86064,847 34,611

85.4 80.51.7 1.1

51 37.. ..

25,431 26,5155,193 5,349

33.5 28.40.0 0.0

20.0 12.90110

.. 28,774

.. –1.7

.. 1.8

.. 16.5

.. 81,970

.. 15,496

8,343 5,0003.7 4.4

16,834 9,41590.3 62.0

3.3 11.220.4 11.4

1,930 8,1956.0 10.3

0 41100 100100 98100 100100 100100 99100 100

12 22.. .... ..3 6

30.5 17.921.3 13.93.5 4.60.0 1.40.1 0.20.0 0.00.2 0.20.0 0.1

12.4 6.6


Country data

High-income group


Luxembourg








45,460 39,860.. 34,611

100.0 80.52.1 1.1

.. 37

.. ..

.. 26,515

.. 5,349

.. 28.4

.. 0.0

.. 12.90450

1.5 28,774–2.6 –1.7

.. 1.8

.. 16.5

.. 81,970

.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.22.8 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

62.6 17.91.8 13.92.8 4.60.0 1.40.0 0.2

.. 0.00.1 0.2

.. 0.1

.. 6.6


Country data

High-income group


Macao SAR, China








4,810 7,734 6,5634,221 6,652 5,821

59.3 64.7 60.60.5 0.3 2.5

44 28 357.4 .. ..

6,430 3,374 8693,502 2,740 3,944

39.8 38.7 34.8–0.4 0.0 0.04.9 7.5 13.3

51113

0

1.6 5,790 97,437.. –2.9 0.7.. –0.5 9.0.. 10.4 8.4.. .. 33,350.. .. 48,783

1,402 3,015 1,9487.1 2.0 8.1

3,591 4,059 2,94266.5 65.4 72.933.5 18.8 21.3

5.5 7.1 5.5

2,616 12,498 8,55019.0 6.3 5.6

12 60 66100 96 9399 91 86

100 99 9888 84 7382 81 6292 87 81

17 21 42.. .. .... .. ..

10 21 20

26.1 26.1 36.411.1 12.3 11.84.9 3.6 3.30.9 9.3 5.72.9 0.8 1.60.1 0.0 0.00.9 0.7 0.70.1 0.3 0.7

14.9 6.2 19.2



Country data

Europe & Central

Asia group


Macedonia, FYR








430 1,258 571409 1,022 52132.6 36.5 28.0

4.6 3.8 3.5

71 44 392.2 .. ..187 334 308

2,503 1,361 2,034

21.5 27.8 25.70.4 0.5 0.63.1 11.7 10.0653586

358

138 6,383 11,5631.0 1.8 4.0

18.9 16.0 4.90.12 5.8 ..

2,230 17,980 15,1202,991 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

15,810 4,455 5,1254.4 3.2 4.597 84 9046 61 6534 48 5774 83 8615 31 3712 23 3221 42 47

28 41 543 .. ..8 .. ..

62 109 95

.. 18.4 25.27.7 10.9 7.72.7 3.7 3.00.0 10.4 1.42.5 2.2 2.00.2 0.5 1.20.1 0.5 0.30.1 0.4 0.5

.. –1.2 15.2



Country data


Low-income group

Madagascar








360 1,258 571324 1,022 52115.7 36.5 28.03.8 3.8 3.5

59 44 390.5 .. ..172 334 308

2,094 1,361 2,034

34.0 27.8 25.71.0 0.5 0.6

15.0 11.7 10.07

15101

16

85.8 6,383 11,5630.5 1.8 4.0

14.6 16.0 4.9.. 5.8 .... 17,980 15,120.. 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

1,049 4,455 5,1256.0 3.2 4.584 84 9083 61 6580 48 5795 83 8651 31 3751 23 3249 42 47

29 41 54.. .. .... .. ..

83 109 95

13.9 18.4 25.27.4 10.9 7.75.3 3.7 3.00.0 10.4 1.40.0 2.2 2.01.7 0.5 1.20.2 0.5 0.30.1 0.4 0.59.7 –1.2 15.2


Country data


Low-income group


Malawi








8,770 4,248 6,5637,932 3,884 5,821

72.7 48.6 60.64.0 3.6 2.5

24 48 35.. .. ..

7,170 610 8693,920 5,050 3,944

62.0 29.7 34.80.5 –0.4 0.0

18.1 15.0 13.3704568

676

1,909 101,299 97,4371.8 3.4 0.7

11.6 9.1 9.02.0 1.4 8.4

3,600 137,690 33,3507,097 56,537 48,783

2,558 1,520 1,9484.7 10.9 8.1

4,117 2,337 2,94293.8 79.8 72.9

5.2 16.5 21.37.1 4.6 5.5

20,098 4,446 8,5502.3 10.9 5.634 73 66

100 90 9399 84 86

100 97 9896 66 7395 58 6296 76 81

18 55 42.. .. .... .. ..7 21 20

35.5 49.3 36.412.2 11.0 11.8

4.1 2.1 3.36.1 4.3 5.70.1 1.7 1.60.0 0.0 0.00.6 0.9 0.70.0 1.1 0.7

20.5 32.2 19.2


Country data

East Asia & Pacific

group



Malaysia








5,720 1,313 6,5634,640 1,201 5,821

41.1 30.9 60.64.0 2.8 2.5

23 55 35.. .. ..

2,490 550 8692,508 2,959 3,944

3.0 17.1 34.80.0 –0.3 0.0

.. 5.9 13.320

180

121 13,219 97,4372.0 2.3 0.7

.. 8.1 9.0

.. 1.7 8.48,920 15,440 33,350

.. 10,343 48,783

985 519 1,948.. 26.7 8.1.. 555 2,942.. 80.6 72.9.. 14.0 21.3

3.3 1.4 5.5

94 1,197 8,55019.7 51.6 5.6

0 91 6698 90 9397 88 86

100 96 9897 38 7397 28 6298 60 81

28 62 427 .. ..5 .. ..

11 62 20

.. 33.5 36.413.5 9.2 11.8

5.0 2.8 3.30.0 2.8 5.70.0 1.0 1.60.0 0.6 0.00.5 0.8 0.70.2 0.6 0.7

.. 21.6 19.2


Country data

South Asia

group



Maldives








610 1,258 571532 1,022 52134.9 36.5 28.0

4.8 3.8 3.5

34 44 39.. .. ..

511 334 308996 1,361 2,034

10.2 27.8 25.70.6 0.5 0.62.4 11.7 10.01213

27

110 6,383 11,5632.1 1.8 4.0

27.3 16.0 4.9.. 5.8 .... 17,980 15,120.. 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.0 0.9 0.3

3,788 4,455 5,12510.9 3.2 4.5

90 84 9064 61 6551 48 5787 83 8622 31 3714 23 3235 42 47

111 41 546 .. ..

13 .. ..176 109 95

8.9 18.4 25.28.5 10.9 7.73.9 3.7 3.00.0 10.4 1.49.8 2.2 2.00.0 0.5 1.20.1 0.5 0.31.3 0.4 0.5

–5.2 –1.2 15.2



Country data


Low-income group

Mali








18,620 39,860.. 34,611

94.8 80.51.0 1.1

32 3734.0 ..

38,898 26,5155,302 5,349

0.9 28.40.0 0.0

17.3 12.933

174

4.1 28,7744.3 –1.7

36.8 1.80.40 16.5

.. 81,970

.. 15,496

2,013 5,0000.0 4.4

4,151 9,415100.0 62.0

0.0 11.26.0 11.4

121 8,195106.7 10.3

35 41100 100100 98100 100100 100100 99100 100

.. 22

.. ..

.. ..6 6

10.3 17.914.6 13.95.6 4.60.0 1.40.0 0.2

.. 0.00.3 0.2

.. 0.1

.. 6.6


Country data

High-income group


Malta








3,910 4,248 1,772.. 3,884 1,595

71.8 48.6 38.71.2 3.6 2.7

72 48 46.. .. .... 610 716.. 5,050 3,065

70.2 29.7 28.40.0 –0.4 0.33.1 15.0 9.9

24

120

93.2 101,299 40,23830.0 3.4 2.4

.. 9.1 10.00.61 1.4 2.9

6,110 137,690 143,440.. 56,537 60,301

610 1,520 667.. 10.9 26.2.. 2,337 698.. 79.8 73.0.. 16.5 17.4

1.9 4.6 1.6

.. 4,446 3,121

.. 10.9 20.2

.. 73 8894 90 8799 84 8492 97 9375 66 4753 58 3583 76 66

.. 55 53

.. .. ..

.. .. ..26 21 62

.. 49.3 29.78.3 11.0 9.96.5 2.1 3.10.0 4.3 6.30.0 1.7 1.2

.. 0.0 0.30.4 0.9 0.7

.. 1.1 0.6

.. 32.2 14.7


Country data

East Asia & Pacific

group



Marshall Islands








1,030 1,258 571586 1,022 52141.5 36.5 28.02.9 3.8 3.5

39 44 39.. .. ..

773 334 3081,395 1,361 2,034

0.2 27.8 25.72.7 0.5 0.60.5 11.7 10.0161332

0

372 6,383 11,5638.6 1.8 4.0

.. 16.0 4.932.1 5.8 ..

.. 17,980 15,1201.4 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.6 0.9 0.3

113 4,455 5,125400.3 3.2 4.5

94 84 9050 61 6548 48 5752 83 8626 31 37

9 23 3251 42 47

68 41 54.. .. .... .. ..

112 109 95

.. 18.4 25.29.3 10.9 7.73.8 3.7 3.00.0 10.4 1.4

38.8 2.2 2.00.4 0.5 1.20.4 0.5 0.30.6 0.4 0.5

.. –1.2 15.2



Country data


Low-income group

Mauritania








8,040 1,258 6,5637,674 1,022 5,82141.8 36.5 60.6

0.7 3.8 2.5

44 44 3522.5 .. ..

6,013 334 8697,442 1,361 3,944

17.3 27.8 34.81.0 0.5 0.04.5 11.7 13.3

6111588

5.5 6,383 97,437–4.8 1.8 0.79.6 16.0 9.0

0.28 5.8 8.4870 17,980 33,3501.2 27,808 48,783

947 683 1,948.. 58.2 8.1.. 553 2,942.. 65.2 72.9.. 18.7 21.3

3.0 0.9 5.5

2,139 4,455 8,55026.4 3.2 5.6

68 84 6699 61 9399 48 86

100 83 9889 31 7388 23 6291 42 81

16 41 42.. .. .... .. ..

15 109 20

13.8 18.4 36.411.8 10.9 11.8

3.1 3.7 3.30.0 10.4 5.70.0 2.2 1.60.0 0.5 0.00.3 0.5 0.70.0 0.4 0.74.8 –1.2 19.2



Country data



Mauritius








9,420 8,574 6,5638,220 7,648 5,821

78.1 79.1 60.61.9 2.0 2.5

53 37 356.3 .. ..

3,196 3,448 8693,241 3,838 3,944

33.3 46.8 34.80.3 0.4 0.0

11.1 20.2 13.3100

61152196

1,709 19,009 97,4370.5 0.1 0.79.0 11.8 9.0

16.7 13.1 8.41,780 15,100 33,3506,557 39,997 48,783

1,570 1,312 1,9484.7 16.7 8.1

1,990 1,973 2,94280.2 39.0 72.913.7 53.7 21.34.0 2.7 5.5

3,563 22,810 8,55019.5 2.0 5.6

77 68 6696 94 9391 81 8697 98 9885 79 7379 59 6287 84 81

30 28 42.. .. .... .. ..

16 19 20

26.4 21.1 36.411.8 12.2 11.85.2 5.0 3.36.2 4.5 5.70.8 1.9 1.60.0 0.0 0.00.3 0.2 0.70.3 0.3 0.7

12.1 6.8 19.2


Country data


group



Mexico








2,860 4,248 1,772.. 3,884 1,595

22.6 48.6 38.70.1 3.6 2.7

31 48 46.. .. .... 610 716

1,624 5,050 3,065

91.7 29.7 28.40.0 –0.4 0.34.0 15.0 9.9

71020

3

36.3 101,299 40,23813.9 3.4 2.4

.. 9.1 10.00.06 1.4 2.9

4,340 137,690 143,44087.0 56,537 60,301

.. 1,520 667

.. 10.9 26.2

.. 2,337 698

.. 79.8 73.0

.. 16.5 17.40.6 4.6 1.6

.. 4,446 3,121

.. 10.9 20.2

.. 73 8894 90 8794 84 8495 97 9325 66 4715 58 3561 76 66

.. 55 53

.. .. ..

.. .. ..42 21 62

.. 49.3 29.79.7 11.0 9.9

.. 2.1 3.10.0 4.3 6.30.0 1.7 1.2

.. 0.0 0.30.1 0.9 0.7

.. 1.1 0.6

.. 32.2 14.7



Country data

East Asia & Pacific

group


Micronesia, Fed. Sts.








1,980 7,734 1,7721,934 6,652 1,595

47.7 64.7 38.7–0.1 0.3 2.7

75 28 469.2 .. ..

1,791 3,374 7162,866 2,740 3,065

11.9 38.7 28.4–1.8 0.0 0.31.4 7.5 9.9

4882

9.4 5,790 40,238–16.7 –2.9 2.4

1.3 –0.5 10.0.. 10.4 2.9.. .. 143,440.. .. 60,301

731 3,015 6673.2 2.0 26.2

1,049 4,059 69897.8 65.4 73.02.2 18.8 17.41.3 7.1 1.6

281 12,498 3,121191.5 6.3 20.2

40 60 8896 96 8793 91 8499 99 9385 84 4782 81 3589 87 66

36 21 537 .. ..7 .. ..

16 21 62

12.1 26.1 29.78.9 12.3 9.97.7 3.6 3.10.1 9.3 6.30.0 0.8 1.20.1 0.0 0.30.5 0.7 0.71.1 0.3 0.69.1 6.2 14.7


Country data

Europe & Central

Asia group



Moldova








188,800 39,860.. 34,611

100.0 80.50.7 1.1

.. 37

.. ..

.. 26,515

.. 5,349

0.0 28.40.0 0.0

23.7 12.920

110

0.00 28,774–3.2 –1.7

.. 1.8100.0 16.5

.. 81,970

.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.30 41

100 100.. 98

100 100100 100

.. 99100 100

.. 22

.. ..

.. ..4 6

.. 17.914.4 13.91.2 4.60.0 1.40.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group

Population (thousands) 35 Land area (sq. km) 2.0 GDP ($ billions) 6.1

Monaco








2,310 4,248 1,7721,594 3,884 1,59568.5 48.6 38.7

2.0 3.6 2.7

73 48 46.. .. ..

1,530 610 7161,485 5,050 3,065

7.0 29.7 28.40.7 –0.4 0.3

13.4 15.0 9.91120

20

0.08 101,299 40,238–2.1 3.4 2.4

.. 9.1 10.0

.. 1.4 2.9

.. 137,690 143,440

.. 56,537 60,301

1,189 1,520 6674.5 10.9 26.2

1,530 2,337 698100.0 79.8 73.0

0.0 16.5 17.45.3 4.6 1.6

12,428 4,446 3,1211.2 10.9 20.253 73 8882 90 8753 84 84

100 97 9351 66 4729 58 3564 76 66

96 55 53.. .. .... .. ..

31 21 62

34.4 49.3 29.711.4 11.0 9.95.1 2.1 3.1

20.2 4.3 6.312.0 1.7 1.2

0.0 0.0 0.31.4 0.9 0.72.5 1.1 0.6

–8.1 32.2 14.7



Country data

East Asia & Pacific

group


Mongolia








7,140 7,734 6,563.. 6,652 5,821

63.3 64.7 60.61.5 0.3 2.5

38 28 35.. .. ..

3,078 3,374 8693,666 2,740 3,944

40.4 38.7 34.80.0 0.0 0.0

13.3 7.5 13.36

1225

2

2.3 5,790 97,437.. –2.9 0.7.. –0.5 9.0

0.85 10.4 8.4.. .. 33,350.. .. 48,783

1,303 3,015 1,9483.1 2.0 8.1

5,547 4,059 2,94230.5 65.4 72.966.0 18.8 21.3

4.8 7.1 5.5

.. 12,498 8,550

.. 6.3 5.61 60 66

98 96 9396 91 8699 99 9890 84 7387 81 6292 87 81

.. 21 42

.. .. ..

.. .. ..7 21 20

.. 26.1 36.411.2 12.3 11.8

.. 3.6 3.30.0 9.3 5.70.0 0.8 1.6

.. 0.0 0.00.7 0.7 0.7

.. 0.3 0.7

.. 6.2 19.2


Country data

Europe & Central

Asia group



Montenegro








2,970 3,866 1,7722,616 3,285 1,595

57.0 58.9 38.72.0 2.5 2.7

67 23 464.6 .. ..

3,451 2,627 7161,407 2,475 3,065

11.5 2.4 28.4–0.2 –0.1 0.31.5 3.9 9.917114529

966 3,538 40,2382.5 2.4 2.46.0 13.1 10.01.3 2.0 2.9

.. 5,700 143,440

.. 217 60,301

517 1,372 6672.9 0.9 26.2781 1,658 69881.5 92.9 73.015.5 5.4 17.4

1.5 4.1 1.6

899 673 3,12143.5 122.1 20.2

87 86 8883 89 8761 81 8498 94 9370 88 4752 80 3583 94 66

23 59 53.. .. .... .. ..

33 32 62

28.5 27.0 29.710.4 10.8 9.95.2 4.5 3.10.0 15.2 6.32.6 0.6 1.20.0 0.1 0.30.4 0.6 0.70.1 0.9 0.6

20.1 6.1 14.7


Country data

Middle East &

N. Africa group



Morocco








460 1,258 571468 1,022 52131.2 36.5 28.0

4.6 3.8 3.5

63 44 39.. .. ..

231 334 3081,110 1,361 2,034

49.4 27.8 25.70.5 0.5 0.6

15.8 11.7 10.012265442

190 6,383 11,5638.2 1.8 4.0

20.8 16.0 4.93.3 5.8 ..

1,860 17,980 15,1202,909 27,808 25,818

436 683 36381.6 58.2 66.2444 553 2420.1 65.2 32.0

99.9 18.7 45.30.1 0.9 0.3

4,191 4,455 5,1250.7 3.2 4.574 84 9047 61 6529 48 5777 83 8618 31 37

5 23 3238 42 47

22 41 54.. .. .... .. ..

103 109 95

12.6 18.4 25.27.9 10.9 7.74.0 3.7 3.02.7 10.4 1.40.1 2.2 2.00.0 0.5 1.20.2 0.5 0.30.1 0.4 0.55.6 –1.2 15.2



Country data


Low-income group

Mozambique








.. 4,248 571

.. 3,884 52132.7 48.6 28.02.3 3.6 3.5

19 48 3924.8 .. ..

.. 610 3083,880 5,050 2,034

48.2 29.7 25.70.9 –0.4 0.66.3 15.0 10.046444139

4,150 101,299 11,5637.5 3.4 4.0

25.4 9.1 4.90.31 1.4 ..

1,870 137,690 15,1205,029 56,537 25,818

292 1,520 36375.3 10.9 66.2131 2,337 242

32.3 79.8 32.067.7 16.5 45.30.2 4.6 0.3

20,750 4,446 5,1253.3 10.9 4.589 73 9083 90 6578 84 5793 97 8676 66 3773 58 3283 76 47

40 55 54.. .. .... .. ..

62 21 95

.. 49.3 25.2

.. 11.0 7.70.8 2.1 3.0

.. 4.3 1.4

.. 1.7 2.0

.. 0.0 1.2

.. 0.9 0.30.5 1.1 0.5

.. 32.2 15.2


Country data

East Asia & Pacific

group

Low-income group


Myanmar








4,700 1,258 6,5634,513 1,022 5,82138.4 36.5 60.6

3.9 3.8 2.5

47 44 35.. .. ..

1,493 334 869354 1,361 3,944

8.8 27.8 34.81.0 0.5 0.0

14.9 11.7 13.312262825

415 6,383 97,4372.1 1.8 0.7

17.2 16.0 9.08.2 5.8 8.4

.. 17,980 33,350

.. 27,808 48,783

702 683 1,94813.0 58.2 8.1

1,479 553 2,94215.1 65.2 72.984.9 18.7 21.3

1.6 0.9 5.5

2,651 4,455 8,5504.9 3.2 5.671 84 6693 61 9390 48 8699 83 9832 31 7317 23 6257 42 81

42 41 424 .. ..

12 .. ..42 109 20

19.4 18.4 36.411.5 10.9 11.88.0 3.7 3.30.0 10.4 5.71.0 2.2 1.60.0 0.5 0.00.3 0.5 0.70.0 0.4 0.7

14.5 –1.2 19.2


Country data




Namibia








540 1,313 571559 1,201 52117.0 30.9 28.05.3 2.8 3.5

30 55 3927.4 .. ..244 550 308

2,481 2,959 2,034

25.4 17.1 25.70.7 –0.3 0.6

17.0 5.9 10.03133

72

52.5 13,219 11,5636.9 2.3 4.05.9 8.1 4.9

.. 1.7 ..

.. 15,440 15,120

.. 10,343 25,818

341 519 36385.1 26.7 66.2

93 555 2420.1 80.6 32.0

99.9 14.0 45.30.1 1.4 0.3

6,501 1,197 5,1254.9 51.6 4.598 91 9089 90 6588 88 5793 96 8631 38 3727 28 3248 60 47

27 62 548 .. ..

12 .. ..48 62 95

34.0 33.5 25.28.0 9.2 7.74.2 2.8 3.00.0 2.8 1.40.0 1.0 2.02.2 0.6 1.20.1 0.8 0.30.0 0.6 0.5

27.8 21.6 15.2


Country data

South Asia

group

Low-income group


Nepal








49,660 39,86042,750 34,611

83.1 80.51.4 1.1

56 3710.6 ..

47,805 26,5157,801 5,349

10.8 28.4–0.1 0.012.4 12.9

34

130

413 28,774–0.4 –1.7–4.0 1.822.1 16.5

.. 81,970

.. 15,496

5,021 5,0004.2 4.4

7,010 9,41585.7 62.0

0.1 11.210.3 11.4

659 8,19596.5 10.3

1 41100 100100 98100 100100 100100 99100 100

30 22.. .... ..4 6

25.9 17.914.6 13.9

4.7 4.60.8 1.40.0 0.20.0 0.00.2 0.20.4 0.1

14.7 6.6


Country data

High-income group


Netherlands








.. 39,860

.. 34,61161.8 80.5

2.1 1.1

14 37.. .... 26,515

2,732 5,349

45.9 28.40.0 0.0

60.2 12.99

1530

230

5.4 28,774–1.1 –1.74.4 1.8

17.7 16.55,980 81,970

227 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.212.1 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

48 22.. .... .... 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Population (thousands) 254 Land area (1,000 sq. km) 18 GDP ($ millions) ..

Country data

High-income group

New Caledonia








29,140 39,86026,828 34,611

86.2 80.51.4 1.1

43 37.. ..

26,556 26,5156,951 5,349

31.4 28.40.0 0.0

26.2 12.99

702319

545 28,7741.0 –1.77.0 1.8

10.8 16.5.. 81,970

261 15,496

4,166 5,0006.5 4.4

9,566 9,41526.6 62.055.1 11.2

7.4 11.4

74,230 8,1951.5 10.374 41

100 100100 98100 100

.. 100

.. 99

.. 100

11 22.. .... ..6 6

19.3 17.913.9 13.9

7.2 4.60.7 1.40.4 0.20.0 0.00.2 0.20.0 0.1

11.2 6.6



Country data

High-income group

New Zealand








1,510 8,574 1,7721,384 7,648 1,595

57.6 79.1 38.72.1 2.0 2.7

43 37 46.. .. ..

3,760 3,448 7162,143 3,838 3,065

25.3 46.8 28.42.0 0.4 0.3

36.7 20.2 9.96

143139

46.7 19,009 40,23811.6 0.1 2.429.1 11.8 10.037.2 13.1 2.9710 15,100 143,440671 39,997 60,301

542 1,312 66745.2 16.7 26.2473 1,973 698

63.0 39.0 73.013.8 53.7 17.4

0.8 2.7 1.6

32,318 22,810 3,1210.7 2.0 20.284 68 8885 94 8768 81 8498 98 9352 79 4737 59 3563 84 66

21 28 53.. .. .... .. ..

26 19 62

19.4 21.1 29.79.5 12.2 9.93.0 5.0 3.10.0 4.5 6.30.7 1.9 1.20.5 0.0 0.30.4 0.2 0.70.0 0.3 0.6

11.2 6.8 14.7


Country data


group



Nicaragua








360 1,258 571350 1,022 52117.9 36.5 28.04.2 3.8 3.5

35 44 390.2 .. ..

.. 334 308378 1,361 2,034

0.9 27.8 25.71.0 0.5 0.67.1 11.7 10.012

942

53.3 6,383 11,56314.1 1.8 4.04.2 16.0 4.9

.. 5.8 ..

.. 17,980 15,120

.. 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

218 4,455 5,12567.5 3.2 4.5

88 84 9049 61 6539 48 57

100 83 869 31 374 23 32

34 42 47

96 41 5414 .. ..21 .. ..

125 109 95

.. 18.4 25.23.9 10.9 7.73.5 3.7 3.00.0 10.4 1.40.4 2.2 2.01.4 0.5 1.20.1 0.5 0.31.6 0.4 0.5

.. –1.2 15.2


Country data


Low-income group


Niger








1,280 1,258 1,772889 1,022 1,59549.6 36.5 38.7

4.1 3.8 2.7

84 44 46.. .. .... 334 716

1,331 1,361 3,065

9.5 27.8 28.43.7 0.5 0.3

12.8 11.7 9.9261859

167

857 6,383 40,2383.5 1.8 2.4

17.6 16.0 10.00.16 5.8 2.9

.. 17,980 143,4407,356 27,808 60,301

714 683 66783.9 58.2 26.2136 553 69875.6 65.2 73.024.4 18.7 17.40.5 0.9 1.6

1,360 4,455 3,1214.7 3.2 20.253 84 8858 61 8743 48 8474 83 9331 31 4727 23 3535 42 66

38 41 533 .. ..

10 .. ..124 109 62

.. 18.4 29.710.2 10.9 9.90.9 3.7 3.1

24.2 10.4 6.30.0 2.2 1.20.2 0.5 0.30.4 0.5 0.70.5 0.4 0.6

.. –1.2 14.7


Country data




Nigeria








.. 39,860

.. 34,61191.5 80.5

1.7 1.1

7 37.. .... 26,515.. 5,349

65.5 28.40.5 0.0

12.8 12.95

1512

4

0.25 28,7741.2 –1.7

.. 1.828.7 16.5<50 81,9700.07 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 4198 10097 9898 10094 10096 9994 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6



Country data

High-income group

Northern Mariana Islands








88,870 39,86075,531 34,611

79.4 80.51.2 1.1

3 374.3 ..

46,480 26,5153,226 5,349

33.3 28.4–0.8 0.014.6 12.9

74

192

3,573 28,7741.4 –1.7

10.1 1.82.4 16.5

.. 81,970

.. 15,496

6,637 5,0005.1 4.4

25,175 9,4154.0 62.0

94.7 11.29.7 11.4

77,124 8,1950.8 10.329 41

100 100100 98100 100100 100100 99100 100

16 22.. .... ..3 6

37.0 17.913.8 13.9

6.6 4.610.5 1.40.0 0.20.0 0.00.1 0.20.0 0.1

19.2 6.6


Country data

High-income group


Norway








19,260 39,86010,846 34,611

73.4 80.52.5 1.1

6 374.0 ..

.. 26,51510,269 5,349

0.0 28.40.0 0.0

10.7 12.99

10276

159 28,7741.3 –1.7

.. 1.81.3 16.5

530 81,97010.9 15,496

7,188 5,0000.0 4.4

5,933 9,415100.0 62.0

0.0 11.215.2 11.4

492 8,19594.4 10.3

88 4189 10078 9893 10099 10095 99

100 100

95 22.. .... ..9 6

39.7 17.913.7 13.94.2 4.6

31.1 1.40.0 0.20.0 0.00.6 0.20.0 0.1

–8.1 6.6


Country data

High-income group


Oman








1,120 1,313 1,7721,105 1,201 1,59536.2 30.9 38.7

3.0 2.8 2.7

34 55 4670.2 .. ..951 550 716

2,718 2,959 3,065

2.1 17.1 28.42.2 –0.3 0.3

10.1 5.9 9.9232935

2

595 13,219 40,238–0.2 2.3 2.413.4 8.1 10.0

1.8 1.7 2.9.. 15,440 143,440

977 10,343 60,301

487 519 66734.1 26.7 26.2457 555 69862.7 80.6 73.033.7 14.0 17.40.9 1.4 1.6

311 1,197 3,121333.6 51.6 20.2

94 91 8892 90 8789 88 8496 96 9348 38 4734 28 3572 60 66

91 62 5314 .. ..22 .. ..72 62 62

19.5 33.5 29.78.5 9.2 9.91.6 2.8 3.12.0 2.8 6.30.1 1.0 1.20.6 0.6 0.30.6 0.8 0.71.0 0.6 0.68.3 21.6 14.7


Country data

South Asia

group



Pakistan








6,510 4,248 6,563.. 3,884 5,821

84.1 48.6 60.62.4 3.6 2.5

11 48 35.. .. .... 610 869.. 5,050 3,944

87.6 29.7 34.8–0.2 –0.4 0.02.0 15.0 13.3

44

153

1.0 101,299 97,437–0.3 3.4 0.712.5 9.1 9.05.3 1.4 8.4

1,150 137,690 33,35048.5 56,537 48,783

.. 1,520 1,948

.. 10.9 8.1

.. 2,337 2,942

.. 79.8 72.9

.. 16.5 21.310.3 4.6 5.5

.. 4,446 8,550

.. 10.9 5.6

.. 73 6685 90 9396 84 8683 97 98

100 66 73100 58 62100 76 81

.. 55 42

.. .. ..

.. .. ..19 21 20

.. 49.3 36.414.4 11.0 11.8

.. 2.1 3.30.0 4.3 5.70.0 1.7 1.6

.. 0.0 0.01.2 0.9 0.7

.. 1.1 0.7

.. 32.2 19.2


Country data

East Asia & Pacific

group



Palau








7,470 8,574 6,5636,077 7,648 5,82175.2 79.1 60.6

3.4 2.0 2.5

30 37 35.. .. ..

3,488 3,448 8692,569 3,838 3,944

43.6 46.8 34.80.4 0.4 0.0

18.7 20.2 13.3151941

191

165 19,009 97,4370.9 0.1 0.73.7 11.8 9.04.0 13.1 8.4

720 15,100 33,3501,744 39,997 48,783

1,073 1,312 1,94812.8 16.7 8.1

1,832 1,973 2,94243.0 39.0 72.956.0 53.7 21.3

2.3 2.7 5.5

41,275 22,810 8,5500.3 2.0 5.651 68 6693 94 9383 81 8697 98 9869 79 7351 59 6275 84 81

45 28 42.. .. .... .. ..

20 19 20

19.1 21.1 36.412.4 12.2 11.83.5 5.0 3.30.0 4.5 5.70.5 1.9 1.60.0 0.0 0.00.3 0.2 0.70.3 0.3 0.79.1 6.8 19.2


Country data


group



Panama








1,480 4,248 1,7721,186 3,884 1,59512.5 48.6 38.7

1.6 3.6 2.7

3 48 46.. .. ..

688 610 7164,457 5,050 3,065

63.1 29.7 28.40.5 –0.4 0.33.1 15.0 9.9393745

142

187 101,299 40,2389.7 3.4 2.4

29.6 9.1 10.00.32 1.4 2.9

13,840 137,690 143,4404,265 56,537 60,301

.. 1,520 667

.. 10.9 26.2

.. 2,337 698

.. 79.8 73.0

.. 16.5 17.40.5 4.6 1.6

114,203 4,446 3,1210.0 10.9 20.2

0 73 8840 90 8733 84 8487 97 9345 66 4741 58 3571 76 66

16 55 53.. .. .... .. ..

58 21 62

20.8 49.3 29.79.9 11.0 9.9

.. 2.1 3.10.0 4.3 6.3

23.1 1.7 1.20.0 0.0 0.30.3 0.9 0.70.0 1.1 0.6

.. 32.2 14.7


Country data

East Asia & Pacific

group



Papua New Guinea








3,020 8,574 1,7723,174 7,648 1,59561.9 79.1 38.73.2 2.0 2.7

53 37 46.. .. ..

2,784 3,448 7163,480 3,838 3,065

43.8 46.8 28.41.0 0.4 0.35.4 20.2 9.9

828

010

21.9 19,009 40,2381.5 0.1 2.4

23.3 11.8 10.0.. 13.1 2.9.. 15,100 143,440.. 39,997 60,301

742 1,312 66748.1 16.7 26.2

1,134 1,973 6980.0 39.0 73.0

100.0 53.7 17.40.7 2.7 1.6

14,311 22,810 3,1210.5 2.0 20.271 68 8886 94 8766 81 8499 98 9371 79 4740 59 3590 84 66

64 28 53.. .. .... .. ..

22 19 62

10.8 21.1 29.710.7 12.2 9.93.7 5.0 3.10.0 4.5 6.30.0 1.9 1.20.0 0.0 0.30.2 0.2 0.71.0 0.3 0.62.6 6.8 14.7


Country data


group



Paraguay








5,150 8,574 6,5634,329 7,648 5,821

77.2 79.1 60.62.0 2.0 2.5

17 37 35.. .. ..

1,665 3,448 8693,899 3,838 3,944

53.0 46.8 34.80.2 0.4 0.0

13.6 20.2 13.354

12420

270

8,346 19,009 97,4370.9 0.1 0.7

14.6 11.8 9.02.8 13.1 8.4

.. 15,100 33,35053.1 39,997 48,783

667 1,312 1,94816.3 16.7 8.1

1,106 1,973 2,94242.1 39.0 72.955.8 53.7 21.3

1.6 2.7 5.5

54,966 22,810 8,5501.2 2.0 5.685 68 6685 94 9365 81 8691 98 9871 79 7337 59 6281 84 81

42 28 42.. .. .... .. ..

18 19 20

25.4 21.1 36.412.2 12.2 11.8

2.3 5.0 3.32.0 4.5 5.77.9 1.9 1.60.0 0.0 0.00.2 0.2 0.70.4 0.3 0.75.0 6.8 19.2


Country data


group



Peru








2,210 4,248 1,7722,084 3,884 1,59548.9 48.6 38.7

2.1 3.6 2.7

41 48 469.4 .. ..

1,143 610 7163,341 5,050 3,065

25.9 29.7 28.4–0.7 –0.4 0.310.9 15.0 9.9

387473

212

4,975 101,299 40,2381.2 3.4 2.46.7 9.1 10.02.5 1.4 2.9

25,060 137,690 143,4402,565 56,537 60,301

434 1,520 66717.0 10.9 26.2643 2,337 69873.7 79.8 73.011.5 16.5 17.4

0.7 4.6 1.6

5,050 4,446 3,12117.0 10.9 20.2

82 73 8892 90 8792 84 8493 97 9374 66 4769 58 3579 76 66

17 55 535 .. ..9 .. ..

25 21 62

25.0 49.3 29.79.8 11.0 9.92.4 2.1 3.10.5 4.3 6.32.1 1.7 1.20.1 0.0 0.30.3 0.9 0.70.0 1.1 0.6

14.6 32.2 14.7



Country data

East Asia & Pacific

group


Philippines








12,380 39,86010,975 34,611

60.9 80.50.0 1.1

49 370.4 ..

2,994 26,5153,358 5,349

30.8 28.4–0.3 0.022.4 12.9

5879

221 28,774–4.0 –1.70.5 1.84.1 16.5

.. 81,970

.. 15,496

2,657 5,0007.5 4.4

3,783 9,41592.9 62.0

1.9 11.27.8 11.4

1,391 8,19522.3 10.3

10 41.. 100.. 98

100 10090 10080 9996 100

33 22.. .... ..6 6

17.6 17.912.8 13.9

5.0 4.61.1 1.40.5 0.20.1 0.00.5 0.20.4 0.19.2 6.6


Country data

High-income group


Poland








21,370 39,86017,468 34,611

61.0 80.51.4 1.1

40 3712.7 ..

7,019 26,5153,459 5,349

37.8 28.4–0.1 0.08.3 12.9119

5468

225 28,774–2.0 –1.73.0 1.83.1 16.5

.. 81,970

.. 15,496

2,213 5,00013.5 4.4

4,929 9,41546.6 62.030.1 11.25.4 11.4

3,600 8,19522.3 10.3

73 4199 100

100 9899 100

100 100100 99100 100

18 22.. .... ..3 6

12.2 17.919.2 13.9

5.7 4.60.0 1.40.1 0.20.0 0.00.2 0.20.0 0.1

–1.7 6.6


Country data

High-income group


Portugal








16,560 39,860.. 34,611

98.9 80.51.7 1.1

21 378.6 ..

.. 26,5151,952 5,349

63.2 28.4–1.8 0.010.1 12.9

38

2051

1.5 28,774–1.4 –1.7–7.9 1.81.6 16.5

480 81,97073.9 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

1,915 8,19514.0 10.3

7 41.. 100.. 98.. 100.. 100.. 99.. 100

15 22.. .... .... 6

.. 17.920.2 13.9

.. 4.60.0 1.40.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6



Country data

High-income group

Puerto Rico








80,440 39,860.. 34,611

98.8 80.56.8 1.1

6 37.. .... 26,515

6,050 5,349

0.0 28.40.0 0.02.5 12.9

34

110

13.0 28,7744.0 –1.7

.. 1.80.25 16.5700 81,97012.3 15,496

12,799 5,0000.0 4.4

14,997 9,415100.0 62.0

0.0 11.244.0 11.4

30 8,195792.9 10.3

59 41100 100100 98100 100100 100100 99100 100

20 22.. .... ..8 6

.. 17.915.4 13.91.9 4.6

18.3 1.40.0 0.2

.. 0.00.5 0.20.0 0.1

.. 6.6


Country data

High-income group


Qatar








8,140 7,734 6,5637,558 6,652 5,82152.8 64.7 60.6–0.4 0.3 2.5

61 28 350.7 .. ..

6,818 3,374 8693,993 2,740 3,944

28.7 38.7 34.8–0.3 0.0 0.0

7.1 7.5 13.37

1419

5

11.6 5,790 97,437–14.7 –2.9 0.7–6.6 –0.5 9.033.3 10.4 8.4

.. .. 33,350

.. .. 48,783

1,632 3,015 1,94811.8 2.0 8.1

2,392 4,059 2,94247.6 65.4 72.932.4 18.8 21.3

3.7 7.1 5.5

1,978 12,498 8,55016.3 6.3 5.6

17 60 6689 96 9376 91 8699 99 9873 84 7354 81 6288 87 81

11 21 42.. .. .... .. ..

13 21 20

25.1 26.1 36.411.9 12.3 11.83.4 3.6 3.31.8 9.3 5.70.0 0.8 1.60.0 0.0 0.00.4 0.7 0.70.0 0.3 0.7

14.4 6.2 19.2



Country data

Europe & Central

Asia group


Romania








10,650 7,734 6,5639,179 6,652 5,82173.8 64.7 60.6–0.1 0.3 2.5

13 28 352.0 .. ..

3,281 3,374 8692,262 2,740 3,944

49.4 38.7 34.80.0 0.0 0.09.1 7.5 13.3315236

8

4,391 5,790 97,437–2.6 –2.9 0.7–3.3 –0.5 9.010.8 10.4 8.4

.. .. 33,350

.. .. 48,783

4,927 3,015 1,9481.0 2.0 8.1

6,431 4,059 2,94267.1 65.4 72.916.1 18.8 21.311.1 7.1 5.5

30,169 12,498 8,5501.5 6.3 5.620 60 6697 96 9392 91 8699 99 9870 84 7359 81 6274 87 81

15 21 42.. .. .... .. ..

12 21 20

31.4 26.1 36.412.7 12.3 11.83.5 3.6 3.3

13.2 9.3 5.71.1 0.8 1.60.0 0.0 0.00.7 0.7 0.70.1 0.3 0.77.1 6.2 19.2


Country data

Europe & Central

Asia group



Russian Federation








570 1,258 571515 1,022 52119.1 36.5 28.08.1 3.8 3.5

78 44 39.. .. ..

257 334 3081,950 1,361 2,034

18.0 27.8 25.7–2.4 0.5 0.610.0 11.7 10.0

201495

17.8 6,383 11,5639.9 1.8 4.06.6 16.0 4.9

.. 5.8 ..

.. 17,980 15,120

.. 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

868 4,455 5,1251.6 3.2 4.568 84 9065 61 6563 48 5776 83 8655 31 3756 23 3252 42 47

21 41 5415 .. ..14 .. ..54 109 95

11.4 18.4 25.28.0 10.9 7.74.2 3.7 3.00.0 10.4 1.40.1 2.2 2.02.8 0.5 1.20.1 0.5 0.30.1 0.4 0.54.5 –1.2 15.2



Country data


Low-income group

Rwanda








3,160 4,248 1,7722,948 3,884 1,595

19.9 48.6 38.70.3 3.6 2.7

12 48 46.. .. ..

1,718 610 716.. 5,050 3,065

60.4 29.7 28.40.0 –0.4 0.33.4 15.0 9.9

26

132

11.8 101,299 40,23810.3 3.4 2.4

.. 9.1 10.00.55 1.4 2.9490 137,690 143,4403.7 56,537 60,301

320 1,520 667.. 10.9 26.2.. 2,337 698.. 79.8 73.0.. 16.5 17.4

0.9 4.6 1.6

.. 4,446 3,121

.. 10.9 20.2

.. 73 8896 90 8796 84 8496 97 9398 66 4798 58 3598 76 66

.. 55 53

.. .. ..

.. .. ..19 21 62

.. 49.3 29.711.0 11.0 9.94.4 2.1 3.10.0 4.3 6.30.0 1.7 1.20.3 0.0 0.30.2 0.9 0.7

.. 1.1 0.6

.. 32.2 14.7


Country data

East Asia & Pacific

group


Population (thousands) 184 Land area (1,000 sq. km) 2.8 GDP ($ millions) 640.9

Samoa








50,400 39,860.. 34,611

94.1 80.51.5 1.1

17 37.. .... 26,515.. 5,349

0.0 28.40.0 0.0

.. 12.90000

.. 28,774

.. –1.7

.. 1.8

.. 16.5

.. 81,970

.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

8 22.. .... ..2 6

.. 17.915.3 13.9

.. 4.60.0 1.40.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group


San Marino








1,350 1,258 1,7721,328 1,022 1,595

62.7 36.5 38.73.5 3.8 2.7

51 44 46.. .. .... 334 716

3,000 1,361 3,065

28.1 27.8 28.40.0 0.5 0.3

.. 11.7 9.95

131434

3.9 6,383 40,2380.1 1.8 2.4

.. 16.0 10.0

.. 5.8 2.9

.. 17,980 143,4401.4 27,808 60,301

280 683 667.. 58.2 26.2.. 553 698.. 65.2 73.0.. 18.7 17.4

0.8 0.9 1.6

12,936 4,455 3,1210.3 3.2 20.2

.. 84 8889 61 8788 48 8489 83 9326 31 4719 23 3530 42 66

28 41 53.. .. .... .. ..

89 109 62

.. 18.4 29.79.2 10.9 9.9

.. 3.7 3.10.0 10.4 6.30.0 2.2 1.20.7 0.5 0.30.5 0.5 0.70.2 0.4 0.6

.. –1.2 14.7


Country data




São Tomé and Príncipe








17,820 39,86010,722 34,611

82.3 80.53.0 1.1

81 37.. ..

20,233 26,5155,611 5,349

0.5 28.40.0 0.0

31.3 12.99

15243

91.2 28,7742.2 –1.7

13.2 1.83.4 16.5

6,660 81,970204 15,496

6,168 5,0000.0 4.4

7,967 9,415100.0 62.0

0.0 11.216.1 11.4

85 8,195986.3 10.3

88 41.. 100.. 98

97 100.. 100.. 99

100 100

96 22.. .... ..9 6

46.0 17.912.7 13.9

7.2 4.636.0 1.4

0.0 0.20.0 0.00.6 0.21.0 0.12.8 6.6


Country data

High-income group


Saudi Arabia








1,070 1,258 1,772990 1,022 1,59542.6 36.5 38.7

3.1 3.8 2.7

49 44 460.7 .. ..

233 334 716966 1,361 3,065

43.8 27.8 28.40.5 0.5 0.3

24.1 11.7 9.9161345

9

427 6,383 40,2381.5 1.8 2.4

20.2 16.0 10.012.4 5.8 2.9

.. 17,980 143,4401,279 27,808 60,301

272 683 66746.3 58.2 26.2195 553 698

88.1 65.2 73.08.4 18.7 17.40.4 0.9 1.6

2,021 4,455 3,1218.6 3.2 20.293 84 8872 61 8756 48 8493 83 9352 31 4739 23 3570 42 66

77 41 5313 .. ..22 .. ..65 109 62

22.0 18.4 29.78.9 10.9 9.95.2 3.7 3.10.0 10.4 6.31.6 2.2 1.20.0 0.5 0.30.3 0.5 0.70.7 0.4 0.6

17.3 –1.2 14.7



Country data



Senegal








5,690 7,734 6,563.. 6,652 5,821

56.4 64.7 60.60.3 0.3 2.5

58 28 350.7 .. ..

2,057 3,374 8694,753 2,740 3,944

31.6 38.7 34.8–1.0 0.0 0.06.0 7.5 13.3

611113

13.0 5,790 97,437.. –2.9 0.7.. –0.5 9.0.. 10.4 8.4.. .. 33,350.. .. 48,783

2,141 3,015 1,9486.6 2.0 8.1

4,359 4,059 2,94268.2 65.4 72.931.8 18.8 21.36.3 7.1 5.5

1,158 12,498 8,55049.0 6.3 5.6

2 60 6699 96 9398 91 8699 99 9892 84 7388 81 6296 87 81

.. 21 42

.. .. ..

.. .. ..7 21 20

16.9 26.1 36.411.6 12.3 11.85.0 3.6 3.32.4 9.3 5.70.2 0.8 1.6

.. 0.0 0.00.9 0.7 0.7

.. 0.3 0.7

.. 6.2 19.2


Country data

Europe & Central

Asia group



Serbia








11,270 1,258 6,56310,224 1,022 5,821

53.6 36.5 60.61.4 3.8 2.5

7 44 35.. .. ..

455 334 869.. 1,361 3,944

88.5 27.8 34.80.0 0.5 0.0

42.0 11.7 13.35

101855

75.4 6,383 97,43713.3 1.8 0.7

.. 16.0 9.00.51 5.8 8.4

1,690 17,980 33,35032.3 27,808 48,783

2,411 683 1,948.. 58.2 8.1.. 553 2,942.. 65.2 72.9.. 18.7 21.3

8.4 0.9 5.5

.. 4,455 8,550

.. 3.2 5.67 84 66.. 61 93.. 48 86

100 83 98.. 31 73.. 23 62

98 42 81

.. 41 42

.. .. ..

.. .. ..14 109 20

.. 18.4 36.412.8 10.9 11.8

4.6 3.7 3.30.0 10.4 5.70.0 2.2 1.60.0 0.5 0.00.6 0.5 0.7

.. 0.4 0.7

.. –1.2 19.2



Country data



Seychelles








460 1,258 571389 1,022 52139.3 36.5 28.0

2.8 3.8 3.5

48 44 39.. .. .... 334 308

1,669 1,361 2,034

37.8 27.8 25.70.7 0.5 0.64.9 11.7 10.017134748

199 6,383 11,5636.2 1.8 4.03.9 16.0 4.90.0 5.8 ..

.. 17,980 15,1201,049 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.2 0.9 0.3

26,678 4,455 5,1250.3 3.2 4.571 84 9055 61 6535 48 5787 83 8613 31 37

6 23 3223 42 47

36 41 547 .. ..

13 .. ..185 109 95

9.9 18.4 25.24.0 10.9 7.73.4 3.7 3.00.0 10.4 1.40.7 2.2 2.01.1 0.5 1.21.1 0.5 0.31.0 0.4 0.5

–6.0 –1.2 15.2


Country data


Low-income group


Sierra Leone








42,930 39,86038,731 34,611100.0 80.5

2.5 1.1

1 37.. ..

29,706 26,515.. 5,349

3.3 28.40.0 0.05.4 12.911152557

5.6 28,774–8.9 –1.73.7 1.81.4 16.5

<100 81,9704.6 15,496

6,456 5,0001.2 4.4

8,307 9,41597.4 62.00.0 11.26.4 11.4

116 8,19531.7 10.3

4 41100 100

.. 98100 100100 100

.. 99100 100

23 22.. .... ..3 6

47.4 17.914.4 13.93.0 4.60.0 1.40.0 0.20.0 0.00.1 0.20.4 0.1

35.7 6.6


Population (millions) 5.2 Land area (sq. km) 700 GDP ($ billions) 239.7

Country data

High-income group

Singapore








.. 39,860

.. 34,611

.. 80.5

.. 1.1

.. 37

.. ..

.. 26,515

.. 5,349

.. 28.4

.. 0.0

.. 12.90110

0.18 28,774.. –1.7.. 1.8.. 16.5.. 81,970.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6



Country data

High-income group

Sint Maarten (Dutch part)








16,190 39,86014,127 34,611

54.8 80.5–0.1 1.1

40 370.7 ..

9,924 26,5154,942 5,349

40.2 28.4–0.1 0.023.2 12.9

3856

2.7 28,774.. –1.7.. 1.8.. 16.5.. 81,970.. 15,496

3,280 5,0005.4 4.4

5,164 9,41525.1 62.019.1 11.26.3 11.4

2,334 8,1955.5 10.3

3 41100 100100 98100 100100 10099 99

100 100

13 22.. .... ..8 6

17.8 17.913.8 13.9

3.9 4.60.1 1.40.0 0.20.3 0.00.3 0.20.0 0.17.2 6.6


Country data

High-income group


Slovak Republic








23,600 39,86020,483 34,611

49.9 80.50.1 1.1

23 370.9 ..

76,633 26,5156,372 5,349

62.3 28.4–0.2 0.013.2 12.9

45

297

2.3 28,774.. –1.7.. 1.8

0.68 16.5.. 81,970.. 15,496

3,520 5,0009.3 4.4

6,521 9,41536.0 62.027.8 11.27.5 11.4

9,095 8,1955.0 10.3

0 4199 10099 98

100 100100 100100 99100 100

26 22.. .... ..3 6

21.8 17.913.4 13.9

5.4 4.60.1 1.40.0 0.20.2 0.00.2 0.20.1 0.1

13.1 6.6



Country data

High-income group

Slovenia








1,110 4,248 1,772894 3,884 1,59520.5 48.6 38.7

4.7 3.6 2.7

3 48 46.. .. ..

1,777 610 7164,211 5,050 3,065

78.9 29.7 28.40.2 –0.4 0.30.1 15.0 9.920201816

58.9 101,299 40,2381.0 3.4 2.4

42.1 9.1 10.00.12 1.4 2.9

5,750 137,690 143,440603 56,537 60,301

129 1,520 667.. 10.9 26.2.. 2,337 698.. 79.8 73.0.. 16.5 17.4

0.4 4.6 1.6

80,939 4,446 3,121.. 10.9 20.2.. 73 88

70 90 8765 84 8494 97 9332 66 4718 58 3598 76 66

31 55 53.. .. .... .. ..

22 21 62

10.2 49.3 29.711.5 11.0 9.93.8 2.1 3.10.0 4.3 6.30.0 1.7 1.2

15.1 0.0 0.30.3 0.9 0.70.1 1.1 0.6

–7.6 32.2 14.7


Country data

East Asia & Pacific

group


Population (thousands) 552 Land area (1,000 sq. km) 28 GDP ($ millions) 838.0

Solomon Islands








.. 1,258 571

.. 1,022 52137.8 36.5 28.02.9 3.8 3.5

70 44 39.. .. .... 334 308

466 1,361 2,034

10.6 27.8 25.71.1 0.5 0.60.6 11.7 10.015142823

30.0 6,383 11,5631.3 1.8 4.0

.. 16.0 4.90.0 5.8 ..710 17,980 15,120

48.0 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

628 4,455 5,12555.0 3.2 4.5

99 84 9029 61 65

7 48 5766 83 8623 31 37

6 23 3252 42 47

26 41 54.. .. .... .. ..

180 109 95

.. 18.4 25.2

.. 10.9 7.7

.. 3.7 3.0

.. 10.4 1.4

.. 2.2 2.0

.. 0.5 1.2

.. 0.5 0.30.4 0.4 0.5

.. –1.2 15.2



Country data


Low-income group

Somalia








6,960 1,258 6,5636,333 1,022 5,821

62.0 36.5 60.62.6 3.8 2.5

79 44 351.7 .. ..

4,097 334 8694,024 1,361 3,944

7.6 27.8 34.80.0 0.5 0.06.9 11.7 13.324418567

545 6,383 97,437–0.1 1.8 0.72.8 16.0 9.06.5 5.8 8.4

.. 17,980 33,35030.5 27,808 48,783

2,738 683 1,94810.5 58.2 8.1

4,803 553 2,94294.3 65.2 72.9

0.8 18.7 21.310.1 0.9 5.5

886 4,455 8,55027.9 3.2 5.6

63 84 6691 61 9379 48 8699 83 9879 31 7367 23 6286 42 81

18 41 42.. .. .... .. ..

47 109 20

16.8 18.4 36.413.0 10.9 11.8

5.4 3.7 3.33.6 10.4 5.72.9 2.2 1.60.2 0.5 0.00.9 0.5 0.70.1 0.4 0.71.5 –1.2 19.2


Country data




South Africa








.. 1,258 1,772

.. 1,022 1,59518.1 36.5 38.74.0 3.8 2.7

.. 44 46

.. .. ..

.. 334 716

.. 1,361 3,065

.. 27.8 28.4

.. 0.5 0.3

.. 11.7 9.90

14....

.. 6,383 40,238

.. 1.8 2.4

.. 16.0 10.0

.. 5.8 2.9

.. 17,980 143,440

.. 27,808 60,301

.. 683 667

.. 58.2 26.2

.. 553 698

.. 65.2 73.0

.. 18.7 17.4

.. 0.9 1.6

.. 4,455 3,121

.. 3.2 20.2

.. 84 88

.. 61 87

.. 48 84

.. 83 93

.. 31 47

.. 23 35

.. 42 66

.. 41 53

.. .. ..

.. .. ..121 109 62

.. 18.4 29.7

.. 10.9 9.9

.. 3.7 3.1

.. 10.4 6.3

.. 2.2 1.2

.. 0.5 0.3

.. 0.5 0.7

.. 0.4 0.6

.. –1.2 14.7


Country data



Population (millions) 10.3 Land area (sq. km) .. GDP ($ billions) 19.2

South Sudan








30,930 39,86026,987 34,611

77.4 80.51.0 1.1

55 3712.0 ..

22,035 26,5153,658 5,349

36.8 28.4–0.7 0.08.6 12.9161270

205

1,266 28,774–0.6 –1.71.4 1.83.5 16.5

.. 81,970

.. 15,496

2,773 5,0005.3 4.4

6,155 9,41546.5 62.014.1 11.26.3 11.4

2,408 8,19529.2 10.3

61 41100 100100 98100 100100 100100 99100 100

24 22.. .... ..4 6

18.5 17.913.8 13.9

4.6 4.60.0 1.40.0 0.20.0 0.00.2 0.20.2 0.18.9 6.6


Country data

High-income group


Spain








2,580 1,313 1,7722,509 1,201 1,595

15.1 30.9 38.70.4 2.8 2.7

42 55 46.. .. ..

978 550 7163,503 2,959 3,065

29.4 17.1 28.41.1 –0.3 0.3

21.5 5.9 9.9291544

283

445 13,219 40,2384.1 2.3 2.4

12.4 8.1 10.01.1 1.7 2.9

680 15,440 143,44088.8 10,343 60,301

478 519 66751.2 26.7 26.2449 555 69847.5 80.6 73.052.3 14.0 17.4

0.6 1.4 1.6

2,530 1,197 3,12124.5 51.6 20.2

87 91 8891 90 8790 88 8499 96 9392 38 4793 28 3588 60 66

65 62 53.. .. .... .. ..

12 62 62

22.4 33.5 29.710.3 9.2 9.9

1.7 2.8 3.10.0 2.8 6.30.0 1.0 1.20.3 0.6 0.30.2 0.8 0.70.2 0.6 0.6

13.2 21.6 14.7


Country data

South Asia

group



Sri Lanka








12,610 39,860.. 34,611

32.0 80.50.7 1.1

23 3713.3 ..

1,517 26,515.. 5,349

42.3 28.40.0 0.03.6 12.9

21

192

31.0 28,77420.5 –1.7–5.1 1.80.53 16.5180 81,970

0.68 15,496

1,645 5,000.. 4.4.. 9,415.. 62.0.. 11.2

5.0 11.4

452 8,195.. 10.3.. 41

99 10099 9899 10096 10096 9996 100

15 22.. .... ..7 6

24.5 17.912.9 13.9

3.5 4.60.0 1.40.0 0.2

.. 0.00.3 0.2

.. 0.1

.. 6.6



Country data


group

High-income group

St. Kitts and Nevis








6,820 8,574 6,563.. 7,648 5,821

17.6 79.1 60.6–1.1 2.0 2.5

18 37 35.. .. ..

1,433 3,448 869.. 3,838 3,944

77.0 46.8 34.8–0.1 0.4 0.014.3 20.2 13.3

25

205

2.0 19,009 97,4373.5 0.1 0.75.4 11.8 9.0

0.06 13.1 8.4160 15,100 33,3501.9 39,997 48,783

760 1,312 1,948.. 16.7 8.1.. 1,973 2,942.. 39.0 72.9.. 53.7 21.3

2.2 2.7 5.5

.. 22,810 8,550

.. 2.0 5.6

.. 68 6696 94 9395 81 8698 98 9865 79 7363 59 6271 84 81

31 28 42.. .. .... .. ..

16 19 20

12.2 21.1 36.411.8 12.2 11.84.5 5.0 3.30.0 4.5 5.70.0 1.9 1.6

.. 0.0 0.00.2 0.2 0.70.0 0.3 0.7

.. 6.8 19.2


Country data


group



St. Lucia








.. 39,860

.. 34,611

.. 80.5

.. 1.1

.. 37

.. ..

.. 26,515

.. 5,349

.. 28.40.0 0.0

.. 12.91052

0.20 28,774.. –1.7.. 1.8.. 16.5.. 81,970.. 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6



Country data

High-income group

St. Martin (French part)








6,070 8,574 6,5635,421 7,648 5,82149.3 79.1 60.6

0.9 2.0 2.5

26 37 35.. .. ..

2,299 3,448 8695,297 3,838 3,944

68.7 46.8 34.8–0.3 0.4 0.010.9 20.2 13.3

22

204

76.6 19,009 97,43710.7 0.1 0.7

.. 11.8 9.00.61 13.1 8.4140 15,100 33,350

0.90 39,997 48,783

642 1,312 1,948.. 16.7 8.1.. 1,973 2,942.. 39.0 72.9.. 53.7 21.3

1.8 2.7 5.5

.. 22,810 8,550

.. 2.0 5.6

.. 68 66

.. 94 93

.. 81 86

.. 98 98

.. 79 7396 59 62

.. 84 81

22 28 42.. .. .... .. ..

21 19 20

–4.9 21.1 36.411.6 12.2 11.84.5 5.0 3.30.0 4.5 5.70.0 1.9 1.60.0 0.0 0.00.2 0.2 0.70.1 0.3 0.7

–12.2 6.8 19.2



Country data


group


St. Vincent and Grenadines









Country data



Population (millions) 34.3b Land area (1,000 sq. km) 2,376 GDP ($ billions) 64.1c

Sudan

1,310 1,258 1,7721,044 1,022 1,59533.2 36.5 38.7

3.2 3.8 2.7

57 44 461.0 .. ..

1,015 334 716452 1,361 3,065

29.4 27.8 28.40.1 0.5 0.34.2 11.7 9.915172017

73.2 6,383 40,2383.9 1.8 2.4

11.3 16.0 10.00.05 5.8 2.9

2,720 17,980 143,4409.8 27,808 60,301

371 683 66768.7 58.2 26.2141 553 698

51.0 65.2 73.049.0 18.7 17.40.3 0.9 1.6

672 4,455 3,121123.8 3.2 20.2

97 84 8858 61 8752 48 8467 83 9326 31 4714 23 3544 42 66

137 41 53.. .. .... .. ..

86 109 62

22.8 18.4 29.710.5 10.9 9.90.9 3.7 3.19.7 10.4 6.30.1 2.2 1.20.0 0.5 0.30.2 0.5 0.70.9 0.4 0.60.1 –1.2 14.7

c

bb








7,840 8,574 6,5636,037 7,648 5,821

69.7 79.1 60.62.0 2.0 2.5

1 37 35.. .. ..

4,048 3,448 8694,133 3,838 3,944

94.6 46.8 34.80.0 0.4 0.0

11.6 20.2 13.387

2626

34.5 19,009 97,4378.3 0.1 0.7

.. 11.8 9.022.9 13.1 8.4

.. 15,100 33,350510 39,997 48,783

1,400 1,312 1,948.. 16.7 8.1.. 1,973 2,942.. 39.0 72.9.. 53.7 21.3

4.8 2.7 5.5

166,220 22,810 8,5500.8 2.0 5.693 68 6692 94 9381 81 8697 98 9883 79 7366 59 6290 84 81

19 28 42.. .. .... .. ..

30 19 20

.. 21.1 36.412.4 12.2 11.8

.. 5.0 3.30.0 4.5 5.78.5 1.9 1.60.0 0.0 0.00.5 0.2 0.70.1 0.3 0.7

.. 6.8 19.2



Country data


group


Suriname








3,470 1,258 1,7723,348 1,022 1,595

21.3 36.5 38.70.7 3.8 2.7

71 44 46.. .. ..

1,213 334 7161,148 1,361 3,065

33.0 27.8 28.4–0.8 0.5 0.33.0 11.7 9.9

61143

0.29 6,383 40,2380.4 1.8 2.47.8 16.0 10.0

.. 5.8 2.9

.. 17,980 143,440

.. 27,808 60,301

415 683 667.. 58.2 26.2.. 553 698.. 65.2 73.0.. 18.7 17.4

1.0 0.9 1.6

2,472 4,455 3,12139.5 3.2 20.2

97 84 8871 61 8765 48 8491 83 9357 31 4755 23 3564 42 66

29 41 538 .. ..

13 .. ..104 109 62

–0.5 18.4 29.710.8 10.9 9.96.9 3.7 3.10.0 10.4 6.30.0 2.2 1.20.0 0.5 0.30.2 0.5 0.70.0 0.4 0.6

–5.1 –1.2 14.7


Country data




Swaziland








53,170 39,86050,463 34,611

85.2 80.50.6 1.1

7 372.0 ..

51,585 26,5154,716 5,349

68.7 28.4–0.3 0.010.9 12.9

14

124

195 28,774–1.5 –1.71.9 1.85.3 16.5

.. 81,970

.. 15,496

5,468 5,00023.2 4.4

14,939 9,4154.5 62.0

44.7 11.24.7 11.4

18,097 8,1951.5 10.3

4 41100 100100 98100 100100 100100 99100 100

10 22.. .... ..3 6

25.8 17.912.7 13.96.2 4.60.0 1.40.4 0.20.0 0.00.1 0.20.0 0.1

18.7 6.6



Country data

High-income group

Sweden








76,350 39,86073,014 34,611

73.7 80.50.8 1.1

38 372.4 ..

.. 26,5156,680 5,349

31.1 28.4–0.4 0.024.9 12.9

2392

2.9 28,774–3.0 –1.70.8 1.8

.. 16.5

.. 81,970

.. 15,496

3,349 5,0008.9 4.4

8,175 9,4151.7 62.0

54.6 11.25.4 11.4

5,106 8,1956.5 10.3

2 41100 100100 98100 100100 100100 99100 100

20 22.. .... ..4 6

31.3 17.914.5 13.95.3 4.60.0 1.40.0 0.20.0 0.00.0 0.20.1 0.1

21.9 6.6


Country data

High-income group


Switzerland








2,750 3,866 1,7722,134 3,285 1,59556.1 58.9 38.7

3.1 2.5 2.7

75 23 4610.1 .. ..

.. 2,627 7161,680 2,475 3,065

2.7 2.4 28.4–1.3 –0.1 0.30.6 3.9 9.9161534

2

12.9 3,538 40,2382.3 2.4 2.45.3 13.1 10.0

0.63 2.0 2.9.. 5,700 143,440.. 217 60,301

1,063 1,372 6670.0 0.9 26.2

1,905 1,658 69894.4 92.9 73.0

5.6 5.4 17.43.3 4.1 1.6

343 673 3,121235.0 122.1 20.2

88 86 8890 89 8786 81 8493 94 9395 88 4793 80 3596 94 66

54 59 53.. .. .... .. ..

15 32 62

17.4 27.0 29.710.5 10.8 9.9

2.6 4.5 3.113.2 15.2 6.3

0.1 0.6 1.20.0 0.1 0.30.9 0.6 0.71.0 0.9 0.6

–5.7 6.1 14.7



Country data

Middle East &

N. Africa group


Syrian Arab Republic








870 7,734 571832 6,652 52126.6 64.7 28.0

0.5 0.3 3.5

35 28 3914.8 .. ..600 3,374 308

2,519 2,740 2,034

2.9 38.7 25.70.0 0.0 0.64.1 7.5 10.0

812

513

0.70 5,790 11,563–2.7 –2.9 4.0–8.7 –0.5 4.9

.. 10.4 ..

.. .. 15,120

.. .. 25,818

336 3,015 3630.0 2.0 66.2

2,004 4,059 2423.4 65.4 32.0

96.6 18.8 45.30.4 7.1 0.3

9,096 12,498 5,12518.1 6.3 4.5

91 60 9064 96 6554 91 5792 99 8694 84 3794 81 3295 87 47

29 21 54.. .. .... .. ..

63 21 95

23.5 26.1 25.28.7 12.3 7.73.2 3.6 3.00.4 9.3 1.40.7 0.8 2.00.0 0.0 1.20.5 0.7 0.30.2 0.3 0.5

16.1 6.2 15.2


Country data

Europe & Central

Asia group

Low-income group


Tajikistan








540 1,258 571462 1,022 52126.7 36.5 28.04.5 3.8 3.5

42 44 39.. .. ..

291 334 3081,361 1,361 2,034

37.3 27.8 25.71.1 0.5 0.6

27.5 11.7 10.03544

175295

351 6,383 11,563–0.9 1.8 4.08.2 16.0 4.9

10.0 5.8 ..3,580 17,980 15,1201,287 27,808 25,818

448 683 36388.4 58.2 66.2

78 553 24242.0 65.2 32.058.0 18.7 45.3

0.2 0.9 0.3

1,817 4,455 5,1256.2 3.2 4.589 84 9053 61 6544 48 5779 83 8610 31 377 23 32

20 42 47

19 41 544 .. ..

15 .. ..68 109 95

20.6 18.4 25.27.8 10.9 7.72.4 3.7 3.00.3 10.4 1.44.0 2.2 2.00.0 0.5 1.20.3 0.5 0.30.0 0.4 0.5

10.5 –1.2 15.2



Country data


Low-income group

Tanzania








4,440 4,248 6,5634,098 3,884 5,821

34.1 48.6 60.61.6 3.6 2.5

41 48 35.. .. ..

743 610 8693,065 5,050 3,944

37.2 29.7 34.80.0 –0.4 0.0

20.1 15.0 13.3574796

116

2,870 101,299 97,437–1.4 3.4 0.76.1 9.1 9.04.4 1.4 8.4

2,130 137,690 33,3502,484 56,537 48,783

1,699 1,520 1,94819.2 10.9 8.1

2,243 2,337 2,94294.4 79.8 72.9

3.5 16.5 21.34.0 4.6 5.5

3,229 4,446 8,55025.5 10.9 5.6

90 73 6696 90 9395 84 8697 97 9896 66 7396 58 6295 76 81

53 55 42.. .. .... .. ..

12 21 20

32.3 49.3 36.411.3 11.0 11.8

4.1 2.1 3.33.3 4.3 5.70.1 1.7 1.60.1 0.0 0.00.7 0.9 0.70.3 1.1 0.7

20.8 32.2 19.2


Country data

East Asia & Pacific

group



Thailand








2,730 4,248 1,772.. 3,884 1,595

28.3 48.6 38.73.6 3.6 2.7

24 48 46.. .. .... 610 716

2,252 5,050 3,065

49.1 29.7 28.41.4 –0.4 0.36.1 15.0 9.9

4751

4.7 101,299 40,238.. 3.4 2.4.. 9.1 10.0

6.7 1.4 2.9.. 137,690 143,440

18.0 56,537 60,301

58 1,520 667.. 10.9 26.2.. 2,337 698.. 79.8 73.0.. 16.5 17.4

0.2 4.6 1.6

6,986 4,446 3,12114.3 10.9 20.2

91 73 8869 90 8760 84 8491 97 9347 66 4737 58 3573 76 66

.. 55 532 .. ..

16 .. ..54 21 62

.. 49.3 29.72.3 11.0 9.93.3 2.1 3.10.0 4.3 6.30.0 1.7 1.2

.. 0.0 0.30.1 0.9 0.7

.. 1.1 0.6

.. 32.2 14.7



Country data

East Asia & Pacific

group


Timor-Leste








570 1,258 571515 1,022 521

38.0 36.5 28.03.8 3.8 3.5

68 44 39.. .. ..

364 334 3081,226 1,361 2,034

4.9 27.8 25.75.1 0.5 0.6

11.3 11.7 10.0119

2310

24.1 6,383 11,5632.0 1.8 4.0

–0.5 16.0 4.90.0 5.8 ..

.. 17,980 15,12010.9 27,808 25,818

446 683 36382.7 58.2 66.2107 553 242

23.8 65.2 32.074.6 18.7 45.30.3 0.9 0.3

1,868 4,455 5,1251.5 3.2 4.545 84 9061 61 6540 48 5789 83 8613 31 37

3 23 3226 42 47

27 41 54.. .. .... .. ..

110 109 95

12.3 18.4 25.28.0 10.9 7.74.4 3.7 3.00.0 10.4 1.41.9 2.2 2.01.8 0.5 1.20.3 0.5 0.30.1 0.4 0.55.3 –1.2 15.2


Country data


Low-income group


Togo








3,820 4,248 1,7723,804 3,884 1,595

23.5 48.6 38.70.6 3.6 2.7

43 48 46.. .. ..

3,278 610 716.. 5,050 3,065

12.5 29.7 28.40.0 –0.4 0.3

14.5 15.0 9.925

122

2.1 101,299 40,2381.2 3.4 2.4

.. 9.1 10.09.4 1.4 2.9

1,500 137,690 143,4403.4 56,537 60,301

567 1,520 667.. 10.9 26.2.. 2,337 698.. 79.8 73.0.. 16.5 17.4

1.7 4.6 1.6

.. 4,446 3,121

.. 10.9 20.2

.. 73 88100 90 87100 84 84100 97 93

96 66 4796 58 3598 76 66

.. 55 53

.. .. ..

.. .. ..15 21 62

3.8 49.3 29.710.4 11.0 9.93.0 2.1 3.10.0 4.3 6.30.0 1.7 1.20.0 0.0 0.30.3 0.9 0.7

.. 1.1 0.6

.. 32.2 14.7



Country data

East Asia & Pacific

group


Tonga








15,840 39,8608,278 34,611

13.7 80.52.7 1.1

11 37.. ..

1,835 26,5153,416 5,349

44.0 28.40.3 0.0

31.2 12.924

251

13.9 28,7740.6 –1.75.2 1.82.8 16.5

<100 81,97065.7 15,496

15,913 5,0000.1 4.4

5,894 9,415100.0 62.0

0.0 11.235.8 11.4

2,852 8,1956.0 10.3

9 4194 10093 9898 10092 10092 9992 100

97 22.. .... ..

28 6

35.6 17.913.2 13.9

4.0 4.630.9 1.4

0.0 0.20.0 0.01.5 0.20.3 0.1

–24.6 6.6


Country data

High-income group


Trinidad and Tobago








4,020 3,866 6,5633,451 3,285 5,82166.3 58.9 60.6

1.9 2.5 2.5

65 23 353.8 .. ..

3,160 2,627 8691,712 2,475 3,944

6.6 2.4 34.8–1.9 –0.1 0.01.3 3.9 13.313

735

6

111 3,538 97,4370.7 2.4 0.7

10.4 13.1 9.01.2 2.0 8.4

.. 5,700 33,350

.. 217 48,783

913 1,372 1,94814.0 0.9 8.1

1,350 1,658 2,94298.8 92.9 72.9

0.3 5.4 21.32.4 4.1 5.5

393 673 8,55067.9 122.1 5.6

76 86 6694 89 9384 81 8699 94 9885 88 7364 80 6296 94 81

23 59 42.. .. .... .. ..

16 32 20

16.8 27.0 36.411.3 10.8 11.86.0 4.5 3.34.0 15.2 5.71.1 0.6 1.60.1 0.1 0.00.4 0.6 0.70.2 0.9 0.75.7 6.1 19.2



Country data

Middle East &

N. Africa group


Tunisia








10,410 7,734 6,5639,104 6,652 5,821

71.4 64.7 60.62.4 0.3 2.5

50 28 3513.6 .. ..

4,035 3,374 8692,958 2,740 3,944

14.9 38.7 34.8–1.1 0.0 0.01.9 7.5 13.3171670

7

704 5,790 97,4371.5 –2.9 0.7

18.1 –0.5 9.02.4 10.4 8.4

.. .. 33,350

.. .. 48,783

1,445 3,015 1,9484.3 2.0 8.1

2,477 4,059 2,94273.6 65.4 72.924.5 18.8 21.33.9 7.1 5.5

3,083 12,498 8,55017.7 6.3 5.6

74 60 66100 96 9399 91 86

100 99 9890 84 7375 81 6297 87 81

35 21 42.. .. .... .. ..

15 21 20

14.3 26.1 36.412.1 12.3 11.82.6 3.6 3.30.3 9.3 5.70.2 0.8 1.60.0 0.0 0.00.3 0.7 0.70.9 0.3 0.73.1 6.2 19.2


Country data

Europe & Central

Asia group



Turkey








4,800 7,734 6,563.. 6,652 5,821

48.7 64.7 60.61.9 0.3 2.5

69 28 35.. .. ..

2,156 3,374 8693,564 2,740 3,944

8.8 38.7 34.80.0 0.0 0.03.0 7.5 13.3

916114

15.0 5,790 97,437–4.8 –2.9 0.7

–21.0 –0.5 9.0.. 10.4 8.4.. .. 33,350.. .. 48,783

4,226 3,015 1,9480.0 2.0 8.1

2,403 4,059 2,942100.0 65.4 72.9

0.0 18.8 21.39.7 7.1 5.5

275 12,498 8,5501,989.3 6.3 5.6

94 60 6684 96 9372 91 8697 99 9898 84 7397 81 6299 87 81

36 21 42.. .. .... .. ..

53 21 20

.. 26.1 36.412.0 12.3 11.8

.. 3.6 3.334.9 9.3 5.7

0.0 0.8 1.6.. 0.0 0.0

2.1 0.7 0.70.6 0.3 0.7

.. 6.2 19.2



Country data

Europe & Central

Asia group


Turkmenistan








.. 39,860

.. 34,61193.7 80.56.9 1.1

1 37.. .... 26,515.. 5,349

36.2 28.40.0 0.0

42.9 12.922

187

3.8 28,7740.1 –1.7

.. 1.80.95 16.5730 81,970236 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.24.3 11.4

.. 8,195

.. 10.3

.. 41100 100100 98100 100

.. 100

.. 9998 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6



Country data

High-income group

Turks and Caicos Islands








4,950 4,248 6,563.. 3,884 5,821

50.6 48.6 60.61.5 3.6 2.5

60 48 35.. .. ..

2,764 610 869.. 5,050 3,944

33.3 29.7 34.80.0 –0.4 0.00.4 15.0 13.3

21

100

8.3 101,299 97,43714.1 3.4 0.7

.. 9.1 9.00.19 1.4 8.4710 137,690 33,350

0.40 56,537 48,783

.. 1,520 1,948

.. 10.9 8.1

.. 2,337 2,942

.. 79.8 72.9

.. 16.5 21.3

.. 4.6 5.5

.. 4,446 8,550

.. 10.9 5.6

.. 73 6698 90 9397 84 8698 97 9885 66 7381 58 6288 76 81

.. 55 42

.. .. ..

.. .. ..30 21 20

.. 49.3 36.46.8 11.0 11.8

.. 2.1 3.30.0 4.3 5.70.0 1.7 1.6

.. 0.0 0.0

.. 0.9 0.7

.. 1.1 0.7

.. 32.2 19.2



Country data

East Asia & Pacific

group


Tuvalu








510 1,258 571415 1,022 521

15.6 36.5 28.04.8 3.8 3.5

70 44 39.. .. ..

200 334 3082,099 1,361 2,034

14.5 27.8 25.72.6 0.5 0.6

10.3 11.7 10.022226137

523 6,383 11,5632.8 1.8 4.0

42.3 16.0 4.9.. 5.8 .... 17,980 15,120.. 27,808 25,818

.. 683 363

.. 58.2 66.2

.. 553 242

.. 65.2 32.0

.. 18.7 45.30.1 0.9 0.3

1,130 4,455 5,1250.8 3.2 4.538 84 9072 61 6568 48 5795 83 8634 31 3734 23 3234 42 47

10 41 5423 .. ..26 .. ..90 109 95

21.3 18.4 25.27.8 10.9 7.73.0 3.7 3.00.0 10.4 1.40.0 2.2 2.05.0 0.5 1.20.2 0.5 0.30.0 0.4 0.5

11.2 –1.2 15.2


Country data


Low-income group


Uganda








3,130 7,734 1,7723,016 6,652 1,59568.9 64.7 38.7–0.5 0.3 2.7

71 28 465.3 .. ..

3,039 3,374 7163,754 2,740 3,065

16.8 38.7 28.4–0.2 0.0 0.33.5 7.5 9.911142117

204 5,790 40,238–7.2 –2.9 2.4–5.7 –0.5 10.04.9 10.4 2.9

.. .. 143,440

.. .. 60,301

2,845 3,015 6671.1 2.0 26.2

3,550 4,059 69845.6 65.4 73.0

7.0 18.8 17.45.9 7.1 1.6

1,162 12,498 3,12172.5 6.3 20.2

51 60 8898 96 8798 91 8498 99 9394 84 4789 81 3596 87 66

15 21 53.. .. .... .. ..

10 21 62

16.4 26.1 29.710.7 12.3 9.95.9 3.6 3.13.9 9.3 6.30.0 0.8 1.20.0 0.0 0.31.5 0.7 0.70.1 0.3 0.66.1 6.2 14.7



Country data

Europe & Central

Asia group


Ukraine








40,760 39,860.. 34,611

84.3 80.57.3 1.1

5 3719.1 ..

.. 26,5152,625 5,349

3.8 28.4–0.2 0.05.6 12.9

79

130

75.3 28,774–1.1 –1.7

.. 1.82.6 16.5

1,190 81,97068.2 15,496

8,271 5,0000.0 4.4

11,044 9,415100.0 62.0

0.0 11.222.6 11.4

19 8,1952,665.3 10.3

83 41100 100100 98100 100

98 10095 9998 100

89 22.. .... ..7 6

.. 17.914.1 13.9

.. 4.615.1 1.40.0 0.2

.. 0.00.3 0.20.6 0.1

.. 6.6


Country data

High-income group


United Arab Emirates








37,780 39,86033,456 34,611

79.6 80.50.5 1.1

71 37.. .... 26,515

6,985 5,349

11.9 28.4–0.3 0.026.4 12.9

54

4311

782 28,774–1.2 –1.76.2 1.85.7 16.5

.. 81,970

.. 15,496

3,252 5,0002.9 4.4

5,733 9,41576.4 62.0

1.0 11.27.7 11.4

2,311 8,1959.0 10.310 41

100 100100 98100 100100 100100 99100 100

13 22.. .... ..5 6

12.7 17.913.7 13.95.1 4.61.3 1.40.0 0.20.0 0.00.2 0.20.0 0.12.7 6.6



Country data

High-income group

United Kingdom








48,620 39,86041,448 34,611

82.4 80.51.5 1.1

45 37.. ..

51,370 26,5156,818 5,349

33.3 28.4–0.1 0.012.4 12.9

3679

185232

5,560 28,774–0.4 –1.71.1 1.8

28.6 16.51,250 81,9703,030 15,496

7,164 5,0004.1 4.4

13,394 9,41570.3 62.0

6.0 11.217.3 11.4

9,044 8,19517.0 10.3

40 4199 10094 98

100 100100 10099 99

100 100

18 22.. .... ..8 6

11.5 17.913.9 13.9

4.8 4.61.0 1.40.1 0.20.0 0.00.3 0.20.1 0.10.9 6.6


Country data

High-income group


United States








11,860 8,574 6,56311,669 7,648 5,821

92.5 79.1 60.60.6 2.0 2.5

82 37 351.4 .. ..

9,064 3,448 8694,587 3,838 3,944

10.2 46.8 34.8–2.1 0.4 0.00.3 20.2 13.3112436

0

89.1 19,009 97,437–0.1 0.1 0.716.8 11.8 9.00.33 13.1 8.4

.. 15,100 33,350

.. 39,997 48,783

1,241 1,312 1,94830.9 16.7 8.1

2,763 1,973 2,94211.0 39.0 72.980.2 53.7 21.3

2.4 2.7 5.5

17,515 22,810 8,5506.2 2.0 5.687 68 66

100 94 93100 81 86100 98 98100 79 7399 59 62

100 84 81

112 28 42.. .. .... .. ..

10 19 20

17.0 21.1 36.412.8 12.2 11.8

2.3 5.0 3.30.0 4.5 5.70.1 1.9 1.60.4 0.0 0.00.1 0.2 0.71.8 0.3 0.74.1 6.8 19.2



Country data


group


Uruguay








1,510 7,734 1,7721,182 6,652 1,59536.2 64.7 38.7

1.2 0.3 2.7

63 28 46.. .. ..

2,904 3,374 7164,771 2,740 3,065

7.7 38.7 28.4–0.2 0.0 0.32.3 7.5 9.910167

17

10.7 5,790 40,238–0.9 –2.9 2.4–5.5 –0.5 10.0

.. 10.4 2.9

.. .. 143,440

.. .. 60,301

1,533 3,015 6670.0 2.0 26.2

1,648 4,059 69879.0 65.4 73.021.0 18.8 17.44.2 7.1 1.6

557 12,498 3,121342.7 6.3 20.2

90 60 8887 96 8781 91 8498 99 93

100 84 47100 81 35100 87 66

31 21 53.. .. .... .. ..

49 21 62

.. 26.1 29.78.9 12.3 9.99.4 3.6 3.1

11.4 9.3 6.36.1 0.8 1.20.0 0.0 0.32.5 0.7 0.70.3 0.3 0.6

.. 6.2 14.7


Country data

Europe & Central

Asia group



Uzbekistan








2,730 4,248 1,7722,695 3,884 1,595

24.9 48.6 38.73.8 3.6 2.7

15 48 46.. .. ..

2,164 610 716559 5,050 3,065

36.1 29.7 28.40.0 –0.4 0.34.3 15.0 9.9

89

158

56.4 101,299 40,2381.4 3.4 2.4

.. 9.1 10.00.05 1.4 2.9

4,110 137,690 143,44020.5 56,537 60,301

157 1,520 667.. 10.9 26.2.. 2,337 698.. 79.8 73.0.. 16.5 17.4

0.5 4.6 1.6

.. 4,446 3,121

.. 10.9 20.2

.. 73 8890 90 8787 84 8498 97 9357 66 4754 58 3564 76 66

14 55 53.. .. .... .. ..

13 21 62

19.6 49.3 29.710.5 11.0 9.95.2 2.1 3.10.0 4.3 6.30.0 1.7 1.20.0 0.0 0.30.1 0.9 0.70.0 1.1 0.6

14.3 32.2 14.7


Population (thousands) 246 Land area (1,000 sq. km) 12 GDP ($ millions) 760.0

Country data

East Asia & Pacific

group


Vanuatu








11,820 8,574 6,5637,045 7,648 5,82193.5 79.1 60.6

2.4 2.0 2.5

24 37 35.. .. ..

8,447 3,448 8693,601 3,838 3,944

52.1 46.8 34.80.6 0.4 0.0

53.8 20.2 13.332403768

248 19,009 97,437–1.8 0.1 0.717.4 11.8 9.015.3 13.1 8.4480 15,100 33,350

3,569 39,997 48,783

2,669 1,312 1,9481.2 16.7 8.1

3,287 1,973 2,94235.1 39.0 72.964.9 53.7 21.3

6.5 2.7 5.5

24,674 22,810 8,5501.3 2.0 5.644 68 6693 94 9375 81 8694 98 9891 79 7357 59 6294 84 81

10 28 42.. .. .... .. ..

15 19 20

31.4 21.1 36.412.3 12.2 11.8

3.6 5.0 3.320.2 4.5 5.7

0.6 1.9 1.60.0 0.0 0.00.5 0.2 0.70.0 0.3 0.71.4 6.8 19.2


Country data


group



Venezuela, RB








1,270 4,248 1,7721,083 3,884 1,595

31.0 48.6 38.73.4 3.6 2.7

35 48 46.. .. ..

378 610 7165,383 5,050 3,065

45.0 29.7 28.4–1.6 –0.4 0.36.2 15.0 9.9544573

141

5,555 101,299 40,2385.7 3.4 2.4

15.0 9.1 10.01.7 1.4 2.9

1,270 137,690 143,4401,056 56,537 60,301

681 1,520 66724.8 10.9 26.2

1,035 2,337 69870.9 79.8 73.029.0 16.5 17.4

1.7 4.6 1.6

4,092 4,446 3,12122.8 10.9 20.2

95 73 8895 90 8793 84 8499 97 9376 66 4768 58 3594 76 66

54 55 53.. .. .... .. ..

22 21 62

34.7 49.3 29.79.6 11.0 9.92.8 2.1 3.19.1 4.3 6.30.4 1.7 1.20.2 0.0 0.30.9 0.9 0.70.6 1.1 0.6

16.8 32.2 14.7



Country data

East Asia & Pacific

group


Vietnam








.. 39,860

.. 34,61195.4 80.5

0.7 1.1

11 37.. .... 26,515.. 5,349

57.4 28.40.8 0.0

15.2 12.921

1512

0.82 28,7740.8 –1.7

.. 1.80.64 16.5200 81,9702.6 15,496

.. 5,000

.. 4.4

.. 9,415

.. 62.0

.. 11.2

.. 11.4

.. 8,195

.. 10.3

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 22

.. ..

.. ..

.. 6

.. 17.9

.. 13.9

.. 4.6

.. 1.4

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.6


Country data

High-income group


Virgin Islands (U.S.)








.. 3,866 1,772

.. 3,285 1,59574.4 58.9 38.73.7 2.5 2.7

43 23 464.9 .. ..

.. 2,627 7161,536 2,475 3,065

1.5 2.4 28.4–0.1 –0.1 0.30.6 3.9 9.9

31000

.. 3,538 40,238

.. 2.4 2.4

.. 13.1 10.0

.. 2.0 2.9

.. 5,700 143,440

.. 217 60,301

.. 1,372 667

.. 0.9 26.2

.. 1,658 698

.. 92.9 73.0

.. 5.4 17.40.6 4.1 1.6

207 673 3,12151.5 122.1 20.2

45 86 8885 89 8781 81 8486 94 9392 88 4792 80 3592 94 66

.. 59 53

.. .. ..

.. .. ..22 32 62

.. 27.0 29.7

.. 10.8 9.9

.. 4.5 3.1

.. 15.2 6.3

.. 0.6 1.2

.. 0.1 0.3

.. 0.6 0.7

.. 0.9 0.6

.. 6.1 14.7


Population (millions) 3.9 Land area (1,000 sq. km) 6.0 GDP ($ millions) ..

Country data

Middle East &

N. Africa group


West Bank and Gaza








1,070 3,866 1,772943 3,285 1,59532.3 58.9 38.7

5.5 2.5 2.7

44 23 463.3 .. ..749 2,627 716

1,127 2,475 3,065

1.0 2.4 28.40.0 –0.1 0.30.5 3.9 9.9

91524

159

157 3,538 40,2383.4 2.4 2.4

.. 13.1 10.01.8 2.0 2.9

700 5,700 143,4409.3 217 60,301

298 1,372 6671.5 0.9 26.2

249 1,658 698100.0 92.9 73.0

0.0 5.4 17.41.0 4.1 1.6

85 673 3,121169.8 122.1 20.2

91 86 8855 89 8747 81 8472 94 9353 88 4734 80 3593 94 66

34 59 53.. .. .... .. ..

77 32 62

8.8 27.0 29.79.8 10.8 9.94.1 4.5 3.1

15.6 15.2 6.30.0 0.6 1.20.0 0.1 0.30.5 0.6 0.70.3 0.9 0.6

–10.0 6.1 14.7


Country data

Middle East &

N. Africa group



Yemen, Rep.








1,160 1,258 1,772949 1,022 1,59539.2 36.5 38.7

2.5 3.8 2.7

32 44 46.. .. ..

264 334 7162,359 1,361 3,065

66.3 27.8 28.40.3 0.5 0.3

36.0 11.7 9.99

152010

79.9 6,383 40,2380.3 1.8 2.49.9 16.0 10.0

.. 5.8 2.9

.. 17,980 143,440

.. 27,808 60,301

628 683 66780.2 58.2 26.2623 553 6980.3 65.2 73.0

99.7 18.7 17.40.2 0.9 1.6

5,952 4,455 3,1212.2 3.2 20.276 84 8861 61 8746 48 8487 83 9348 31 4743 23 3557 42 66

27 41 535 .. ..

16 .. ..83 109 62

30.3 18.4 29.710.0 10.9 9.91.3 3.7 3.10.0 10.4 6.3

17.5 2.2 1.20.0 0.5 0.30.1 0.5 0.70.2 0.4 0.63.8 –1.2 14.7



Country data



Zambia








660 1,258 571671 1,022 521

38.6 36.5 28.02.3 3.8 3.5

42 44 39.. .. ..

167 334 308820 1,361 2,034

39.5 27.8 25.71.9 0.5 0.6

28.0 11.7 10.0....3

14

18.1 6,383 11,563–4.2 1.8 4.020.3 16.0 4.9

.. 5.8 ..

.. 17,980 15,120

.. 27,808 25,818

764 683 36365.2 58.2 66.2

1,022 553 24249.8 65.2 32.050.2 18.7 45.3

0.7 0.9 0.3

961 4,455 5,12534.3 3.2 4.5

79 84 9080 61 6569 48 5798 83 8640 31 3732 23 3252 42 47

34 41 5411 .. ..12 .. ..67 109 95

.. 18.4 25.28.3 10.9 7.72.5 3.7 3.01.8 10.4 1.41.6 2.2 2.00.0 0.5 1.20.8 0.5 0.30.2 0.4 0.5

.. –1.2 15.2


Country data


Low-income group


Zimbabwe


a . Refers to area free from ice .

b . Excludes South Sudan .

c . Excludes South Sudan after July 9, 2011

Notes


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 2010)

Access to improved water source is the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as piped water into a dwelling, plot, or yard; public tap or standpipe; tube-well or borehole; protected dug well or spring; or rainwater collection . Unimproved sources include an unprotected dug well or spring, cart with small tank or drum, bottled water, and tanker trucks . Reasonable access to an adequate amount means the availability of at least 20 liters a person a day from a source within 1 kilometer of the dwelling . (World Health Organization; data are for 2010)

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 2005–10)

Adjusted net national income equals gross national income minus consumption of fixed capital, energy depletion, mineral depletion, and net forest depletion . (World Bank; data are for 2011)

Adjusted net savings equal gross savings minus consumption of fixed capital, plus education expenditures, minus energy depletion, mineral depletion, net forest depletion, and particulate emissions and carbon dioxide damage . (World Bank; data are for 2011)

Agricultural irrigated land refers to agricultural areas purposely provided with water, including land irrigated by controlled flooding . (Food and Agriculture Organization; data are for 2011)

Agricultural land is arable land, land under permanent crops, and permanent pastures . Arable land includes land defined by the Food and Agriculture Organization of the United Nations as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow . Land abandoned as a result of shifting cultivation is excluded . Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, 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 2011)

Agricultural productivity is the ratio of agricultural value added, measured in 2000 U .S . dollars, to the number of workers in agriculture . Agricultural

Glossary


productivity is measured by value added per unit of input . Agricultural value added includes that from forestry and fishing . Thus interpretations of land productivity should be made with caution . (Food and Agriculture Organization and World Bank; data are for 2011)

Aquaculture growth is the exponential change in aquaculture fisheries production for the period indicated . Aquaculture is understood to mean the farming of aquatic organisms including fish, molluscs, crustaceans, and aquatic plants . Aquaculture production specifically refers to output from aquaculture activities, which are designated for final harvest for consumption . (Food and Agriculture Organization; data are for 1990–2011)

Capture fisheries growth is the exponential change in capture fisheries production for the period indicated . Capture fisheries production contains the volume of fish catches landed by a country for all commercial, industrial, recreational, and subsistence purposes . (Food and Agriculture Organization; data are for 1990–2011)

Carbon 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 emitted . (World Bank estimates; data are for 2011)

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 2009)

Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains . Production data on cereals relate to crops harvested for dry grain only . Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded . The FAO allocates production data to the calendar year in which the bulk of the harvest took place . Most of a crop harvested near the end of a year will be used in the following year . (Food and Agriculture Organization; data are for 2011)

Consumption of fixed capital is the replacement value of capital used up in the process of production . (United Nations; data are extrapolated to 2011 from the most recent year available)

Coral reef area is a country’s area of coral reefs, which are shallow marine habitats defined both by a physical structure (corals) and by the organisms found on them . (See The World Atlas of Coral Reefs (2001), UNEP-World Conservation Monitoring Centre)

Deforestation is the permanent conversion of natural forest area to other uses, including shifting cultivation, permanent agriculture, ranching, settlements, and infrastructure development . Deforested areas do not include areas logged but intended for regeneration or areas degraded by fuel-wood gathering, acid precipitation, or forest fires . Negative numbers

Glossary


Glossaryindicate an increase in forest areas . (Food and Agriculture Organization; data are for 2000–2010)

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 2005–10)

Education expenditure is public current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment . (United Nations; data are extrapolated to 2011 from the most recent year available)

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 minus exports divided by midyear population . (International Energy Agency; data are for 2010)

Electricity generated by hydropower is use of hydropower as a percentage of total inputs to the generation of electricity . (International Energy Agency; data are for 2010)

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 2010)

Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years) . It covers crude oil, natural gas, and coal . (See World Bank 2011 for details; data are for 2011)

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 2010)

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 2010)

Fisheries production, total, contains the volume of aquatic species caught by a country for all commercial, industrial, recreational, and subsistence purposes . The harvest from mariculture, aquaculture, and other types of fish farming is also included . (Food and Agriculture Organization; data are for 2011)

Forest area is land under natural or planted stands of trees, whether productive or not . (Food and Agriculture Organization; data are for 2011)

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 2013, Primary data documentation .)


Freshwater withdrawal, total, is total water withdrawal, excluding evaporation 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

2013, 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 2011)

GNI is gross domestic product plus net receipts of primary income (employee compensation and property income) from abroad . GNI per capita is in current U .S . dollars, converted using the World Bank Atlas method (see World

Development Indicators 2013, Statistical methods) . (World Bank, Organization for Economic Co-operation and Development, and United Nations; data are for 2011)

GNI per capita is gross national income (GNI) divided by midyear population .

Gross savings are calculated as gross national income less total consumption, plus net transfers . (World Bank and Organization for Economic Co-operation and Development; data are for 2011)

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 . (Refers to data reported to the Food and Agriculture Organization as of 2011)

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 2011)

Mangroves area is a country’s total area of mangroves, which are plants of a variety of different species, including trees, shrubs, palms, and ferns, that grow in the tropics and subtropics in saline inter-tidal coastal habitats, such as estuaries and shorelines . (See The World Atlas of Mangroves (2010), International Society for Mangrove Ecosystems, The Nature Conservancy, Food and Agriculture Organization, UNEP-World Conservation Monitoring Centre)

Glossary


GlossaryMarine protected areas are areas of intertidal or subtidal terrain—and overlying water and associated flora and fauna and historical and cultural features—that have been reserved by law or other effective means to protect part or all of the enclosed environment . (United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute; data are for 2010)

Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years) . It covers bauxite, copper, iron, lead, nickel, phosphate, tin, gold, silver, and zinc . (See World Bank 2011 for details; data are for 2011)

Net forest depletion is the product of unit resource rents and the excess of round-wood 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 2011)

Particulate emissions 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 2010)

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 2010)

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 2011)

Terrestrial protected areas are 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 . (United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute; data are for 2010)

Threatened species, birds, are the number of species of birds classified by the International Union for Conservation of Nature (IUCN) as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known . Birds are listed for countries included within their breeding or wintering ranges . (World Conservation Monitoring Centre and IUCN; data are for 2012)

Threatened species, fish, are the number of species of fish—cold-blooded aquatic vertebrates of the superclass Pisces—classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known . (World Conservation Monitoring Centre and IUCN; data are for 2012)


GlossaryThreatened species, higher plants, are the number of native vascular plant species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known . (World Conservation Monitoring Centre and IUCN; data are for 2012)

Threatened species, mammals, are the number of species of mammals— excluding whales and porpoises—classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known . (World Conservation Monitoring Centre and IUCN; data are for 2012)

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 2011)

Urban population is the share of the midyear population living in areas defined as urban in each country . (United Nations; data are for 2011)

Urban population growth is the exponential change in urban population for the period indicated . (United Nations; data are for 1990–2011)


World Bank 2011 . The Changing Wealth of Nations: Measuring Sustainable

Development in the New Millennium . Washington, D .C .: World Bank .

World Bank 2013 . World Development Indicators 2013 . Washington, D .C .: World Bank .

References

13AFGHANISTAN 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 CURACAO 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 SAR, CHINA HUNGARY ICELAND INDIA INDONESIA ISLAMIC REPUBLIC OF IRAN IRAQ IRELAND ISLE OF MAN ISRAEL ITALY JAMAICA JAPAN JORDAN KAZAKHSTAN KENYA KIRIBATI DEMOCRATIC PEOPLE’S REPUBLIC OF KOREA REPUBLIC OF KOREA KOSOVO KUWAIT KYRGYZ REPUBLIC LAO PEOPLE’S DEMOCRATIC REPUBLIC LATVIA LEBANON LESOTHO LIBERIA LIBYA LIECHTENSTEIN LITHUANIA LUXEMBOURG MACAO SAR, CHINA FORMER YUGOSLAV REPUBLIC OF MACEDONIA MADAGASCAR MALAWI MALAYSIA MALDIVES MALI MALTA MARSHALL ISLANDS MAURITANIA MAURITIUS MEXICO FEDERATED STATES OF MICRONESIA MOLDOVA MONACO MONGOLIA MONTENEGRO MOROCCO MOZAMBIQUE MYANMAR NAMIBIA NEPAL NETHERLANDS 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 PRÍNCIPE SAUDI ARABIA SENEGAL SERBIA SEYCHELLES SIERRA LEONE SINGAPORE SINT MAARTEN SLOVAK REPUBLIC SLOVENIA SOLOMON ISLANDS SOMALIA SOUTH AFRICA SOUTH SUDAN SPAIN SRI LANKA ST. KITTS AND NEVIS ST. LUCIA ST. MARTIN ST. VINCENT AND GRENADINES SUDAN SURINAME SWAZILAND SWEDEN SWITZERLAND SYRIAN ARAB REPUBLIC TAJIKISTAN TANZANIA THAILAND TIMOR-LESTE TOGO TONGA TRINIDAD AND TOBAGO TUNISIA TURKEY TURKMENISTAN TURKS AND CAICOS ISLANDS TUVALU UGANDA UKRAINE UNITED ARAB EMIRATES UNITED KINGDOM UNITED STATES URUGUAY UZBEKISTAN VANUATU REPÚBLICA BOLIVARIANA DE VENEZUELA VIETNAM U.S. VIRGIN ISLANDS WEST BANK AND GAZA REPUBLIC OF YEMEN ZAMBIA ZIMBABWE

From World Development Indicators



1818 H Street N.W.

Washington, D.C. 20433 USA

Telephone: 202 473 1000

Fax: 202 477 6391

Web site: data.worldbank.org

Email: [email protected]

Agriculture

Forests and biodiversity

Oceans

Energy and emissions

Water and sanitation

Environment and health

National accounting aggregates

SKU 19814

ISBN 978-0-8213-9814-2

13

ISBN 978-0-8213-9814-2 1818 H Street N.W. Green Data Book...

Documents

Transcript of ISBN 978-0-8213-9814-2 1818 H Street N.W. Green Data Book...