from world development indicators the little green data book

From World Development Indicators

The Little Green Data Book

Agriculture

Forests and biodiversity

Energy

Emissions and pollution

Water and sanitation

Environment and health

National accounting aggregates

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Typewritten Text

63848

2011 THE LITTLE GREENDATA BOOK

Copyright ©2011 by the International Bank for Reconstruction and Development/THE WORLD BANK

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

U.S.A.

All rights reservedManufactured in the United States of America

First printing June 2011

ISBN: 978-0-8213-8862-4eISBN: 978-0-8213-8885-3

DOI: 10.1596/978-0-8213-8862-4SKU: 18862

The Little Green Data Book 2011 is a product of theDevelopment Data Group of the Development Economics Vice Presidency

and the Environment Department of the World Bank.

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

iiiThe Little Green Data Book 2011

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

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

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

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

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

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

Contents

iv 2011 The Little Green Data Book

The Little Green Data Book 2011 is based on World Development Indicators

2011 and its accompanying CD-ROM. Defining, gathering, and disseminating international statistics is a collective effort of many people and organizations. The indicators presented in World Development Indicators are the fruit of decades of work at many levels, from the field workers who administer censuses and household surveys to the committees and working parties of the national and international statistical agencies that develop the nomenclature, classifications, and standards fundamental to the international statistical system. Nongovernmental organizations have also made important contributions. We are indebted to the World Development Indicators partners, as detailed in World Development Indicators 2011.

The Little Green Data Book 2011 is the result of close collaboration between the staff of the Development Data Group of the Development Economics Vice Presidency and the Environment Department of the Sustainable Development Vice Presidency. Mehdi Akhlaghi, Kirk Hamilton, Glenn-Marie Lange, Elisabeth Mealey, Esther Grace Lee, and William Prince contributed to its preparation. Design by Communications Development Incorporated, cover design by Peter Grundy Art & Design and typesetting by Deborah Arroyo. Azita Amjadi, Alison Kwong, and Jomo Tariku coordinated the production of the book. Staff from External Affairs oversaw publication and distribution of the book.

Acknowledgments

vThe Little Green Data Book 2011

ForewordWelcome to The Little Green Data Book 2011. This year’s edition introduces a new green national accounting aggregate, adjusted Net National Income (aNNI), into the set of environment and development indicators. Using the underlying methodology of the Adjusted Net Saving (ANS) measure, which has been published since the first edition in 2000, aNNI provides a broader measure of national income that accounts for the depletion of natural resources.

The standard measure of income in the Un ited Nations System of National Accounts (SNA) is Net National Income (NNI), defined as Gross National Income (GNI) minus depreciation of fixed capital. aNNI starts with NNI, then subtracts a charge for the depletion of energy, mineral and forest resources, reflecting the decline in asset values associated with their extraction and harvest—this is analogous to depreciation of fixed assets.

As this definition indicates, aNNI represents a downward shift in level relative to GNI. This level shift represents a truer measure of a nation’s income because it accounts for the depletion of the nation’s assets. This does not necessarily translate into a difference in growth rates between GNI and aNNI. But we can think of situations, such as during a resource boom, where the growth rates could diverge significantly.

Consider the example of the East Asia and Pacific Region (EAP), focusing on countries rich in both mineral and energy resources. Looking at the figure, we see a smooth and steady upward trend of real GNI from the year 1995, with real ANNI following in parallel. But during the resource boom of the 2000s, both the value and the quantity of resource extraction increased in EAP, resulting in real aNNI diverging from real GNI along a slower and more volatile growth path.

Source: World Development Indicators data files.

0

500

1000

1500

2000

2500

3000

3500

20092007200520032001199919971995

real GNI

real aNNI

Resource Dependent Countries in EAP

real GNI and real aNNI, US$ billions, 1995-2009

vi 2011 The Little Green Data Book

ForewordRegion: Resource Dependent Countries

GNI % Growth (2000-09)

aNNI % Growth (2000-09)

East Asia and Pacific 9.7 9.1

Europe and Central Asia 6.5 8.3

Latin America and Caribbean 3.6 3.7

Middle East and North Africa 3.9 3.6

South Asia 7.5 7.1

Sub-Saharan Africa 4.3 4.0

These divergent growth paths highlight the importance of considering aNNI in addition to traditional development indicators. Especially during a resource boom, countries need a better idea of their true income levels, to restrain their spending and give a firmer guide to policy. Without accounting for natural resource depletion, indicators such as Gross Domestic Product (GDP) and GNI may be misleading, resulting in overconfidence and policy mistakes.

The SNA includes non-produced natural assets (e.g., land, mineral resources and forests) within the asset boundary insofar as they are under the effective control of economic actors. The calculation of aNNI, which accounts for net forest, energy, and mineral depletion, therefore remains within the SNA boundaries. This point is critical, since it allows for comparisons across GDP, GNI, and aNNI. For more information on data and methods, see World Bank (2011).

The Little Green Data Book 2011 is a knowledge resource that aids policy makers in using environmental data more effectively to support priority-setting and improve development outcomes. It is the result of close collaboration between the Development Data Group of the Development Economics Vice Presidency and the Environment Department of the Sustainable Development Vice Presidency of the World Bank. We welcome your suggestions on how to improve future editions and make them even more useful.

Shaida Badiee Mary Barton-Dock

Director Director

Development Data Group Environment Department

viiThe Little Green Data Book 2011

The data in this book are for the most recent year available. Regional aggregates include data for low- and middle-income economies only. Aggregates for regions and income groups are shown only if data are available for 66 percent of the economies in that group.

Symbols used:

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

at the displayed number of decimal places.

.. indicates that data are not available.

$ indicates current U.S. dollars.

Data are shown for economies with populations greater than 30,000 or for smaller economies if they are members of the World Bank. The word country (used interchangeably with economy) does not imply political independence or official recognition by the World Bank but refers to any economy for which the authorities report separate social or economic statistics.

The selection of indicators in these pages includes some that are being used to monitor progress toward the Millennium Development Goals. For more information about the eight goals—halving poverty and increasing well-being by 2015—please see the other books in the World Development

Indicators 2011 family of products.

Data notes

1The Little Green Data Book 2011

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

regions and may differ from common geographic usage.

East Asia and Pacific

American Samoa, Cambodia, China, Fiji, Indonesia, Kiribati, Democratic

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

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

Papua New Guinea, Philippines, Samoa, Solomon Islands, Thailand,

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

Europe and Central Asia

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

Georgia, Kazakhstan, Kosovo, Kyrgyz Republic, 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. Kitts and Nevis, St. Lucia, St.

Vincent and the Grenadines, Suriname, Uruguay, República Bolivariana

de Venezuela.

Middle East and North Africa

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

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

Bank and Gaza, Republic of Yemen.

South Asia

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

Lanka.

Sub-Saharan Africa

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

Verde, Central African Republic, Chad, Comoros, Democratic Republic

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

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

Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Mozambique,

Namibia, Niger, Nigeria, Rwanda, São Tomé and Principe, Senegal,

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

Tanzania, Togo, Uganda, Zambia, Zimbabwe.

Regional tables

GNI per capita, World Bank Atlas method ($)Adjusted Net National Income per capita ($)Urban population (% of total)Urban population growth (average annual %, 1990-2009) AgricultureAgricultural land (% land area)Agricultural productivity, value added per worker (2000 $)Food production index (1999-2001=100)Population density, rural (people/ sq. km of arable land) Forests and biodiversityForest area (% land area)Deforestation (average annual %, 1990-2010)Nationally terrestrial protected area (% of land area)Threatened species, mammalsThreatened species, birdsThreatened species, fishThreatened species, higher plantsGEF benefits index for biodiversity (0-100, median is 1.5) EnergyGDP per unit of energy use (2005 PPP $/kg oil equivalent)Energy use per capita (kg oil equivalent)Energy from biomass products and waste (% of total)Electric power consumption per capita (kWh)Electricity generated using fossil fuel (% of total)Electricity generated by hydropower (% of total) Emissions and pollutionCO2 emissions per unit of GDP (kg/2005 PPP $)CO2 emissions per capita (metric tons)CO2 emissions growth (%, 1990–2007)Particulate matter (urban-pop.-weighted avg., μg/cu. m)Road sector energy use per capita (kg oil equivalent) Water and sanitationInternal freshwater resources per capita (cu. m)Freshwater withdrawal

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

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

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

Environment and healthAcute resp. infection prevalence (% of children under 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)

2 2011 The Little Green Data Book

8,7327,23250.3

2.2

381,072

123548

31.10.1

12.5

5.51,835

9.82,875

67.215.8

0.54.6

36.046

261

6,511

9.070877896614576

61

18.313.14.22.00.30.00.40.26.4

WorldPopulation (millions) 6,775 Land area (1,000 sq. km) 129,562 GDP ($ billions) 58,259.8







3,1632,80745.0

3.4

48550135657

29.6–0.214.9

3.81,380

12.41,97280.316.4

0.84.0

148.96197

4,582

10.274888196595464

26

46.510.3

2.13.30.30.01.00.7

33.1

Population (millions) 1,944 Land area (1,000 sq. km) 15,854 GDP ($ billions) 6,353.8

East Asia & Pacific







6,7934,892

64.00.2

283,011

126148

38.60.07.4

3.63,030

1.74,052

67.516.4

0.77.2

–31.324

228

12,913

7.063958998898094

21

19.811.73.68.70.40.00.90.21.4

Population (millions) 404 Land area (1,000 sq. km) 22,687 GDP ($ billions) 2,591.7

Europe & Central Asia







7,0075,72579.0

2.0

353,542

131245

47.00.3

20.8

7.71,290

16.81,907

38.755.3

0.32.7

51.232

302

24,000

2.071938097795486

23

19.511.74.43.51.30.00.30.36.8


Latin America & Caribbean







3,5972,859

57.62.6

232,896

132818

2.4–0.14.0

4.71,329

1.11,494

94.14.4

0.63.7

103.471

259

709

122.386878095847692

33

..10.44.3

14.50.30.00.90.6

..


Middle East & North Africa







1,10795229.8

2.7

55494123633

17.1-0.16.1

5.2495

28.550380.515.4

0.51.2

134.17236

1,195

51.790878395362757

71

32.38.42.92.10.90.90.90.5

21.6


South Asia







1,125861

36.94.0

45314130356

28.00.3

11.7

3.267857.7531

66.217.2

0.40.8

46.14957

4,826

3.287604782312443

130

15.510.63.67.51.20.60.60.3

–1.8

Population (millions) 840 Land area (1,000 sq. km) 23,585 GDP ($ billions) 945.9

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 Green Data Book is classified as low income, middle income, or high income. Low- and middle-income economies are sometimes referred to as developing economies. The use of the term is convenient; it is not intended to imply that all economies in the group are experiencing similar development or that other economies have reached a preferred or final stage of development. Classification by income does not necessarily reflect development status.

Low-income economies are those with a GNI per capita of $995 or less in 2009.

Middle-income economies are those with a GNI per capita of more than $995 but less than $12,196. Lower-middle-income and upper-middle-income economies are separated at a GNI per capita of $3,945.

High-income economies are those with a GNI per capita of $12,196 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







50945328.7

3.7

37280134642

28.20.4

11.2

3.2357

66.2231

28.948.9

0.30.3

–36.26019

5,606

5.693645685353244

118

..7.23.21.21.31.40.30.3

..


Low income







3,3972,804

48.02.5

38767130547

32.80.1

12.4

4.41,26113.3

1,67073.120.4

0.63.3

59.653

129

6,093

9.178888195574371

51

29.210.73.25.10.70.10.80.5

14.5


Middle income







2,3212,02840.9

3.0

50588131591

25.90.0

11.5

4.01,01916.9

1,31878.216.8

0.72.8

117.76378

2,936

17.981868194504163

57

39.99.92.44.00.40.21.00.7

26.2


Lower middle income







7,5025,773

74.91.6

303,671

129153

37.20.1

13.0

5.22,177

6.83,001

64.726.4

0.55.33.831

320

18,143

3.265958698846790

22

19.911.8

4.16.41.00.00.60.23.9


Upper middle income







2,9682,454

45.12.6

38695130565

31.90.1

12.2

4.41,15715.2

1,50572.021.0

0.62.9

56.253

116

6,022

8.679847694544169

66

29.110.73.25.00.70.10.80.5

14.6


Low and middle income







38,87232,385

73.40.6

4424,856

98189

37.3–0.415.4

8.23,763

5.96,97050.3

9.5

0.38.22.420

665

2,998

22.038

100100100100100100

4

18.714.24.50.10.00.00.20.18.7


Euro area







37,99031,467

77.31.0

3725,774

106331

28.9-0.113.4

6.65,131

3.99,51862.911.3

0.412.517.9

24964

9,031

10.542

10098

1009998

100

7

16.114.14.60.90.10.00.20.15.2


High income


China

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

China; or Taiwan, China.

Cyprus

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

the area controlled by the government of the Republic of Cyprus. For more

information, see World Development Indicators 2011 or data.worldbank.org.

Georgia

GNI and GDP data and data calculated using GNI and GDP exclude Abkhazia

and South Ossetia. For more information, see World Development Indicators

2011 or data.worldbank.org.

Kosovo, Montenegro, and Serbia

Montenegro declared independence from Serbia and Montenegro on June 3,

2006. Where available, data for each country are shown separately. However,

some indicators for Serbia prior to 2006 include data for Montenegro.

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

data for Kosovo, which in 1999 became a territory under international admin-

istration 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 and GDP data and all data calculated using GNI and GDP data exclude

Transnistria. For more information, see World Development Indicators 2011

or data.worldbank.org.

Morocco

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

Former Spanish Sahara. For more information, see World Development

Indicators 2011 or data.worldbank.org.

Country tables


Netherlands Antilles

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

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

St Eustatius and Saba became special municipalities of the Netherlands.

Tanzania

GNI and GDP data and all data calculated using GNI and GDP data refer to mainland Tanzania only. For more information, see World Development

Indicators 2011 or data.worldbank.org.

Country tables







Country data

South Asia

group

Low-income group

Population (millions) 30 Land area (1,000 sq. km) 652 GDP ($ billions) 14.5

310 1,107 509326 952 45324.4 29.8 28.74.0 2.7 3.7

58 55 37.. 494 280

127 123 134283 633 642

2.1 17.1 28.20.0 –0.1 0.40.4 6.1 11.21113

52

3.4

.. 5.2 3.2

.. 495 357

.. 28.5 66.2

.. 503 231

.. 80.5 28.9

.. 15.4 48.9

0.03 0.49 0.280.03 1.20 0.28

–73.3 134.1 –36.237 72 60

.. 36 19

1,946 1,195 5,606

42.0 51.7 5.699 90 9348 87 6439 83 5678 95 8537 36 3530 27 3260 57 44

19.020.0199 71 118

.. 32.3 ..

.. 8.4 7.2

.. 2.9 3.2

.. 2.1 1.2

.. 0.9 1.3

.. 0.9 1.4

.. 0.9 0.3

.. 0.5 0.3

.. 21.6 ..

Afghanistan







Country data

Europe & Central

Asia group

Lower middle-income group

Population (millions) 3.2 Land area (1,000 sq. km) 27.4 GDP ($ billions) 12.0

4,000 6,793 7,5023,331 4,892 5,773

47.4 64.0 74.91.2 0.2 1.6

43 28 301,663 3,011 3,671

115 126 129275 148 153

28.3 38.6 37.20.1 0.0 0.19.8 7.4 13.0

36

380

0.2

11.0 3.6 5.2664 3,030 2,17710.3 1.7 6.8

1,372 4,052 3,0010.0 67.5 64.7

100.0 16.4 26.4

0.2 0.7 0.51.4 7.2 5.3

–43.3 –31.3 3.846 24 31

213 228 320

8,588 12,913 18,143

6.8 7.0 3.258 63 6597 95 9598 89 8696 98 9898 89 8498 80 6798 94 90

1.07.315 21 22

17.6 19.8 19.910.5 11.7 11.82.8 3.6 4.11.3 8.7 6.40.0 0.4 1.00.0 0.0 0.00.3 0.9 0.60.2 0.2 0.28.2 1.4 3.9

Albania







Country data

Middle East &

N. Africa group

Upper middle-income group


4,420 3,597 7,5022,901 2,859 5,77365.9 57.6 74.9

2.9 2.6 1.6

17 23 302,159 2,896 3,671

163 132 129160 818 153

0.6 2.4 37.20.4 –0.1 0.16.3 4.0 13.014113315

2.9

6.8 4.7 5.21,078 1,329 2,177

0.1 1.1 6.8957 1,494 3,001

99.3 94.1 64.70.7 4.4 26.4

0.6 0.6 0.54.1 3.7 5.3

77.6 103.4 3.869 71 31

173 259 320

332 709 18,143

54.6 122.3 3.264 86 6583 87 9579 80 8685 95 9895 84 8488 76 6798 92 90

9.019.8

32 33 22

.. .. 19.910.5 10.4 11.84.5 4.3 4.1

16.7 14.5 6.40.1 0.3 1.00.1 0.0 0.00.8 0.9 0.60.2 0.6 0.2

.. .. 3.9

Algeria







Country data

East Asia & Pacific

group


Population (thousands) 67 Land area (1,000 sq. km) 0.2 GDP ($ millions) ..

.. 3,163 7,502

.. 2,807 5,77392.7 45.0 74.9

.. 3.4 1.6

25 48 30.. 550 3,671

128 135 129254 657 153

90.0 29.6 37.20.0 –0.2 0.10.3 14.9 13.0

1881

0.3

.. 3.8 5.2

.. 1,380 2,177

.. 12.4 6.8

.. 1,972 3,001

.. 80.3 64.7

.. 16.4 26.4

.. 0.8 0.5

.. 4.0 5.3

.. 148.9 3.8

.. 61 31

.. 97 320

.. 4,582 18,143

.. 10.2 3.2

.. 74 65

.. 88 95

.. 81 86

.. 96 98

.. 59 84

.. 54 67

.. 64 90

..

..

.. 26 22

.. 46.5 19.9

.. 10.3 11.8

.. 2.1 4.1

.. 3.3 6.4

.. 0.3 1.0

.. 0.0 0.0

.. 1.0 0.6

.. 0.7 0.2

.. 33.1 3.9

American Samoa







Country data

High-income group

Population (thousands) 85 Land area (1,000 sq. km) 0.5 GDP ($ billions) 3.7

41,130 37,990.. 31,467

88.5 77.3.. 1.0

55 37.. 25,774.. 106

929 331

34.0 28.90.0 –0.16.0 13.4

2010

0.0

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.46.6 12.5

.. 17.917 24.. 964

.. 9,031

.. 10.5

.. 42100 100100 98100 100100 99100 98100 100

..

..4 7

.. 16.1

.. 14.12.6 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Andorra







Country data

Sub-Saharan Africa group



3,750 1,125 2,3212,160 861 2,028

57.6 36.9 40.95.2 4.0 3.0

46 45 50249 314 588198 130 131229 356 591

46.9 28.0 25.90.1 0.3 0.0

12.4 11.7 11.515213733

8.3

8.8 3.2 4.0609 678 1,01963.5 57.7 16.9189 531 1,3183.7 66.2 78.2

96.3 17.2 16.8

0.3 0.4 0.71.4 0.8 2.8

459.0 46.1 117.755 49 6365 57 78

8,431 4,826 2,936

0.4 3.2 17.933 87 8150 60 8638 47 8160 82 9457 31 5018 24 4186 43 63

8.028.4161 130 57

10.9 15.5 39.911.7 10.6 9.92.3 3.6 2.4

29.1 7.5 4.00.0 1.2 0.40.0 0.6 0.20.3 0.6 1.01.2 0.3 0.7

–29.2 –1.8 26.2

Angola







Country data


group



12,130 7,007 7,502.. 5,725 5,773

30.4 79.0 74.91.0 2.0 1.6

30 35 303,378 3,542 3,671

112 131 129753 245 153

22.7 47.0 37.20.0 0.3 0.17.0 20.8 13.0

21

144

0.7

.. 7.7 5.2

.. 1,290 2,177

.. 16.8 6.8

.. 1,907 3,001

.. 38.7 64.7

.. 55.3 26.4

0.3 0.3 0.55.1 2.7 5.3

45.1 51.2 3.813 32 31

.. 302 320

607 24,000 18,143

3.3 2.0 3.2.. 71 65

91 93 9589 80 8695 97 9895 79 8494 54 6798 86 90

..

..12 23 22

53.7 19.5 19.913.0 11.7 11.8

4.0 4.4 4.10.0 3.5 6.40.0 1.3 1.0

.. 0.0 0.00.3 0.3 0.6

.. 0.3 0.2

.. 6.8 3.9

Antigua and Barbuda







Country data


group



7,550 7,007 7,5026,161 5,725 5,77392.2 79.0 74.9

1.4 2.0 1.6

49 35 3011,793 3,542 3,671

106 131 12910 245 153

10.7 47.0 37.20.6 0.3 0.15.4 20.8 13.037503644

17.7

6.9 7.7 5.21,915 1,290 2,177

3.7 16.8 6.82,789 1,907 3,001

67.7 38.7 64.724.9 55.3 26.4

0.4 0.3 0.54.6 2.7 5.3

63.1 51.2 3.868 32 31

346 302 320

6,989 24,000 18,143

11.8 2.0 3.266 71 6597 93 9580 80 8698 97 9890 79 8477 54 6791 86 90

..

..14 23 22

23.9 19.5 19.911.8 11.7 11.84.9 4.4 4.14.5 3.5 6.40.3 1.3 1.00.0 0.0 0.00.5 0.3 0.61.1 0.3 0.2

10.6 6.8 3.9

Argentina







Country data

Europe & Central

Asia group



3,100 6,793 2,3212,602 4,892 2,02863.8 64.0 40.9–1.0 0.2 3.0

61 28 505,000 3,011 588

191 126 131247 148 591

9.2 38.6 25.90.9 0.0 0.08.0 7.4 11.5

91031

0.2

5.8 3.6 4.0974 3,030 1,0190.0 1.7 16.9

1,578 4,052 1,31826.2 67.5 78.231.1 16.4 16.8

0.3 0.7 0.71.6 7.2 2.8

.. –31.3 117.769 24 63

100 228 78

2,232 12,913 2,936

25.3 7.0 17.966 63 8196 95 8693 89 8198 98 9490 89 5080 80 4195 94 63

8.07.822 21 57

19.5 19.8 39.99.7 11.7 9.92.2 3.6 2.40.0 8.7 4.00.5 0.4 0.40.0 0.0 0.20.5 0.9 1.01.6 0.2 0.79.6 1.4 26.2

Armenia







Country data

High-income group


.. 37,990

.. 31,46746.8 77.3

2.4 1.0

11 37.. 25,774.. 106

2,806 331

.. 28.9

.. –0.10.1 13.4

21

151

0.3

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.423.0 12.530.3 17.9

.. 24

.. 964

.. 9,031

.. 10.5

.. 42100 100100 98100 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.14.6 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Aruba







Country data

High-income group


43,770 37,99032,956 31,467

88.9 77.31.5 1.0

54 3729,257 25,774

95 1065 331

19.4 28.90.1 –0.1

10.5 13.45552

10067

87.7

5.7 6.66,071 5,131

4.2 3.911,217 9,518

92.9 62.94.6 11.3

0.5 0.417.7 12.527.6 17.9

14 241,091 964

23,348 9,031

4.9 10.575 42

100 100100 98100 100100 99100 98100 100

..

..5 7

.. 16.114.4 14.14.5 4.61.9 0.93.1 0.10.0 0.00.3 0.20.0 0.1

.. 5.2

Australia







Country data

High-income group


46,450 37,99038,579 31,467

67.4 77.30.6 1.0

38 3724,998 25,774

97 106199 331

47.1 28.9–0.1 –0.122.9 13.4

38

114

0.3

9.1 6.63,988 5,131

16.3 3.98,218 9,518

30.1 62.959.0 11.3

0.2 0.48.3 12.5

12.7 17.929 24

877 964

6,626 9,031

6.5 10.51 42

100 100100 98100 100100 99100 98100 100

..

..4 7

24.4 16.114.3 14.15.2 4.60.1 0.90.0 0.10.0 0.00.1 0.20.1 0.1

15.0 5.2

Austria







Country data

Europe & Central

Asia group



4,840 6,793 7,5022,557 4,892 5,773

52.1 64.0 74.90.9 0.2 1.6

58 28 301,274 3,011 3,671

151 126 129224 148 153

11.3 38.6 37.20.0 0.0 0.17.1 7.4 13.0

715100

0.8

5.3 3.6 5.21,540 3,030 2,177

0.0 1.7 6.82,317 4,052 3,00190.7 67.5 64.79.3 16.4 26.4

0.5 0.7 0.53.7 7.2 5.3

.. –31.3 3.833 24 31

188 228 320

946 12,913 18,143

150.5 7.0 3.276 63 6580 95 9571 89 8688 98 9845 89 8439 80 6751 94 90

3.021.7

34 21 22

48.0 19.8 19.911.5 11.7 11.82.9 3.6 4.1

32.7 8.7 6.40.0 0.4 1.00.0 0.0 0.01.0 0.9 0.60.3 0.2 0.25.4 1.4 3.9

Azerbaijan







Country data

High-income group

Population (thousands) 342 Land area (1,000 sq. km) 10 GDP ($ millions) ..

.. 37,990

.. 31,46783.9 77.3

1.8 1.0

1 3715,764 25,774

116 106786 331

51.4 28.90.0 –0.1

13.7 13.475

257

3.6

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.46.4 12.5

10.2 17.934 24

.. 964

60 9,031

.. 10.5

.. 4297 10086 9898 100

100 99100 98100 100

..

..12 7

.. 16.1

.. 14.13.8 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Bahamas, The







Country data

High-income group


25,420 37,99014,450 31,467

88.6 77.32.5 1.0

11 37.. 25,774

130 1066,360 331

1.3 28.9–5.5 –0.11.3 13.4

3480

0.0

2.7 6.611,896 5,131

0.0 3.913,144 9,518100.0 62.9

0.0 11.3

1.0 0.429.6 12.589.0 17.9

49 241,324 964

5 9,031

6,375.0 10.545 42

.. 100

.. 98100 100

.. 99

.. 98100 100

8.38.412 7

.. 16.1

.. 14.13.0 4.6

.. 0.9

.. 0.10.0 0.0

.. 0.20.2 0.1

.. 5.2

Bahrain







Country data

South Asia

group

Low-income group


580 1,107 509545 952 45327.6 29.8 28.73.5 2.7 3.7

71 55 37418 494 280132 123 134

1,476 633 642

11.1 17.1 28.20.1 –0.1 0.41.6 6.1 11.234291916

1.4

7.1 5.2 3.2175 495 35731.1 28.5 66.2208 503 23195.8 80.5 28.9

4.2 15.4 48.9

0.2 0.5 0.30.3 1.2 0.3

181.7 134.1 –36.2134 72 60

11 36 19

666 1,195 5,606

.. 51.7 5.6

.. 90 9380 87 6478 83 5685 95 8553 36 3552 27 3256 57 44

20.86.152 71 118

35.3 32.3 ..6.8 8.4 7.22.0 2.9 3.22.1 2.1 1.20.0 0.9 1.30.6 0.9 1.40.4 0.9 0.30.4 0.5 0.3

27.1 21.6 ..

Bangladesh







Country data

High-income group


.. 37,990

.. 31,46740.3 77.3

1.0 1.0

44 3715,621 25,774

97 106960 331

18.6 28.90.0 –0.10.1 13.4

31

162

0.4

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

0.3 0.45.3 12.5

25.3 17.938 24

.. 964

314 9,031

76.1 10.533 42

100 100100 98100 100100 99100 98100 100

..

..11 7

.. 16.1

.. 14.16.8 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.20.0 0.1

.. 5.2

Barbados







Country data

Europe & Central

Asia group



5,560 6,793 7,5024,366 4,892 5,773

73.9 64.0 74.90.3 0.2 1.6

44 28 304,911 3,011 3,671

157 126 12947 148 153

42.5 38.6 37.2–0.3 0.0 0.17.3 7.4 13.0

4420

0.0

4.0 3.6 5.22,907 3,030 2,177

5.5 1.7 6.83,427 4,052 3,00199.6 67.5 64.7

0.1 16.4 26.4

0.7 0.7 0.56.9 7.2 5.3

.. –31.3 3.87 24 31

161 228 320

3,834 12,913 18,143

11.7 7.0 3.219 63 65

100 95 9599 89 86

100 98 9893 89 8497 80 6791 94 90

..

..12 21 22

25.7 19.8 19.911.1 11.7 11.84.4 3.6 4.10.9 8.7 6.40.0 0.4 1.00.0 0.0 0.01.3 0.9 0.60.0 0.2 0.2

16.9 1.4 3.9

Belarus







Country data

High-income group


45,270 37,99037,868 31,467

97.4 77.30.5 1.0

45 3740,858 25,774

96 10633 331

22.4 28.90.0 –0.10.9 13.4

32

101

0.0

6.1 6.65,471 5,131

4.0 3.98,523 9,518

38.6 62.90.5 11.3

0.3 0.49.7 12.5

–4.2 17.921 24

827 964

1,129 9,031

.. 10.5

.. 42100 100100 98100 100100 99100 98100 100

..

..5 7

21.7 16.114.0 14.15.8 4.60.0 0.90.0 0.10.0 0.00.2 0.20.1 0.1

13.2 5.2

Belgium







Country data


group


Population (thousands) 333 Land area (1,000 sq. km) 23 GDP ($ billions) 1.4

3,740 7,007 2,3213,274 5,725 2,02852.2 79.0 40.9

3.5 2.0 3.0

7 35 504,735 3,542 588

106 131 131222 245 591

61.1 47.0 25.90.4 0.3 0.0

27.9 20.8 11.584

25321.7

.. 7.7 4.0

.. 1,290 1,019

.. 16.8 16.9

.. 1,907 1,318

.. 38.7 78.2

.. 55.3 16.8

0.2 0.3 0.71.4 2.7 2.8

36.5 51.2 117.713 32 63

.. 302 78

51,364 24,000 2,936

0.9 2.0 17.920 71 8199 93 86

100 80 8199 97 9490 79 5086 54 4193 86 63

6.711.0

18 23 57

.. 19.5 39.9

.. 11.7 9.95.7 4.4 2.4

.. 3.5 4.0

.. 1.3 0.4

.. 0.0 0.2

.. 0.3 1.00.0 0.3 0.7

.. 6.8 26.2

Belize







Country data


Low-income group


750 1,125 509678 861 45341.6 36.9 28.74.3 4.0 3.7

31 45 37661 314 280116 130 134200 356 642

41.2 28.0 28.20.8 0.3 0.4

23.8 11.7 11.2115

2714

0.2

3.9 3.2 3.2347 678 35761.0 57.7 66.2

76 531 23199.3 66.2 28.9

0.7 17.2 48.9

0.3 0.4 0.30.5 0.8 0.3

442.1 46.1 –36.245 49 6079 57 19

1,227 4,826 5,606

1.3 3.2 5.645 87 9375 60 6469 47 5684 82 8512 31 35

4 24 3224 43 44

12.013.4118 130 118

.. 15.5 ..7.9 10.6 7.23.3 3.6 3.20.0 7.5 1.20.0 1.2 1.31.2 0.6 1.40.4 0.6 0.30.3 0.3 0.3

.. –1.8 ..

Country data


Low-income group

Benin







Country data

High-income group

Population (thousands) 64 Land area (sq. km) 50 GDP ($ billions) 5.7

.. 37,990

.. 31,467100.0 77.3

0.3 1.0

15 3736,570 25,774

103 1060 331

20.0 28.90.0 –0.15.6 13.4

41

114

1.2

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.48.0 12.5

–14.1 17.9.. 24.. 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.12.8 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Bermuda







Country data

South Asia

group



2,020 1,107 2,3211,627 952 2,02835.6 29.8 40.95.3 2.7 3.0

15 55 50495 494 588153 123 131352 633 591

84.6 17.1 25.9–0.2 –0.1 0.028.3 6.1 11.5

271738

1.1

.. 5.2 4.0

.. 495 1,019

.. 28.5 16.9

.. 503 1,318

.. 80.5 78.2

.. 15.4 16.8

0.2 0.5 0.70.9 1.2 2.8

351.4 134.1 117.722 72 63

.. 36 78

115,378 1,195 2,936

.. 51.7 17.9

.. 90 8192 87 8688 83 8199 95 9465 36 5054 27 4187 57 63

..

..79 71 57

.. 32.3 39.98.9 8.4 9.93.1 2.9 2.40.0 2.1 4.00.0 0.9 0.45.3 0.9 0.20.4 0.9 1.00.0 0.5 0.7

.. 21.6 26.2

Bhutan







Country data


group


Population (millions) 9.9 Land area (1,000 sq. km) 1,083.3 GDP ($ billions) 17.3

1,630 7,007 2,3211,340 5,725 2,028

66.0 79.0 40.93.0 2.0 3.0

34 35 50723 3,542 588133 131 131

93 245 591

52.8 47.0 25.90.3 0.3 0.0

18.2 20.8 11.52033

072

12.5

6.7 7.7 4.0587 1,290 1,01914.4 16.8 16.9561 1,907 1,318

60.5 38.7 78.236.6 55.3 16.8

0.4 0.3 0.71.4 2.7 2.8

139.6 51.2 117.774 32 63

149 302 78

31,865 24,000 2,936

0.7 2.0 17.957 71 8186 93 8667 80 8196 97 9425 79 50

9 54 4134 86 63

22.024.8

51 23 57

23.8 19.5 39.99.5 11.7 9.94.7 4.4 2.49.7 3.5 4.01.5 1.3 0.40.0 0.0 0.20.6 0.3 1.01.0 0.3 0.76.2 6.8 26.2

Bolivia







Country data

Europe & Central

Asia group



4,700 6,793 7,502.. 4,892 5,773

48.0 64.0 74.90.4 0.2 1.6

42 28 3013,301 3,011 3,671

138 126 129197 148 153

42.7 38.6 37.20.0 0.0 0.10.6 7.4 13.0

46

311

0.4

4.7 3.6 5.21,588 3,030 2,177

3.1 1.7 6.82,467 4,052 3,001

65.7 67.5 64.734.3 16.4 26.4

1.1 0.7 0.57.7 7.2 5.3

.. –31.3 3.819 24 31

242 228 320

9,395 12,913 18,143

.. 7.0 3.2

.. 63 6599 95 9598 89 86

100 98 9895 89 8492 80 6799 94 90

2.08.914 21 22

12.9 19.8 19.910.4 11.7 11.8

.. 3.6 4.10.7 8.7 6.40.9 0.4 1.0

.. 0.0 0.01.3 0.9 0.60.1 0.2 0.2

.. 1.4 3.9

Bosnia and Herzegovina







Country data




6,260 1,125 7,5024,981 861 5,77360.3 36.9 74.9

3.8 4.0 1.6

46 45 30467 314 3,671113 130 129311 356 153

20.0 28.0 37.20.6 0.3 0.1

30.9 11.7 13.07920

1.4

11.6 3.2 5.21,102 678 2,17722.3 57.7 6.8

1,503 531 3,001100.0 66.2 64.7

0.0 17.2 26.4

0.2 0.4 0.52.6 0.8 5.3

130.2 46.1 3.869 49 31

340 57 320

1,268 4,826 18,143

8.1 3.2 3.241 87 6595 60 9590 47 8699 82 9860 31 8439 24 6774 43 90

40.06.557 130 22

17.1 15.5 19.911.5 10.6 11.8

7.4 3.6 4.10.3 7.5 6.42.5 1.2 1.00.0 0.6 0.00.3 0.6 0.60.2 0.3 0.29.6 –1.8 3.9

Botswana







Country data


group



8,070 7,007 7,5026,769 5,725 5,77386.0 79.0 74.9

2.1 2.0 1.6

31 35 303,843 3,542 3,671

148 131 12945 245 153

61.4 47.0 37.20.3 0.3 0.1

28.0 20.8 13.080

12380

387100.0

7.4 7.7 5.21,295 1,290 2,177

31.6 16.8 6.82,232 1,907 3,001

12.8 38.7 64.779.8 55.3 26.4

0.2 0.3 0.51.9 2.7 5.3

76.3 51.2 3.821 32 31

298 302 320

28,498 24,000 18,143

1.1 2.0 3.255 71 6597 93 9584 80 8699 97 9880 79 8437 54 6787 86 90

24.013.1

21 23 22

14.9 19.5 19.911.8 11.7 11.84.8 4.4 4.11.6 3.5 6.41.5 1.3 1.00.0 0.0 0.00.2 0.3 0.60.1 0.3 0.24.6 6.8 3.9

Brazil







Country data

High-income group


.. 37,990

.. 31,46775.3 77.3

3.0 1.0

2 3774,363 25,774

150 1063,293 331

72.1 28.90.3 –0.1

42.9 13.43419

8990.1

5.6 6.69,251 5,131

0.0 3.98,308 9,518100.0 62.9

0.0 11.3

0.4 0.419.7 12.518.4 17.9

51 24969 964

22,086 9,031

1.1 10.5.. 42

99 100.. 98.. 100.. 99.. 98.. 100

..

..7 7

.. 16.1

.. 14.13.6 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.20.1 0.1

.. 5.2

Brunei Darussalam







Country data

Europe & Central

Asia group



6,060 6,793 7,5025,354 4,892 5,773

71.4 64.0 74.9–0.3 0.2 1.6

48 28 309,855 3,011 3,671

76 126 12972 148 153

36.2 38.6 37.2–0.6 0.0 0.19.1 7.4 13.0

71218

00.8

4.6 3.6 5.22,595 3,030 2,177

3.8 1.7 6.84,594 4,052 3,001

58.0 67.5 64.76.3 16.4 26.4

0.6 0.7 0.56.8 7.2 5.3

–32.5 –31.3 3.851 24 31

335 228 320

2,742 12,913 18,143

24.2 7.0 3.23 63 65

100 95 95100 89 86100 98 98100 89 84100 80 67100 94 90

..

..10 21 22

16.7 19.8 19.911.7 11.7 11.83.8 3.6 4.10.4 8.7 6.40.7 0.4 1.00.0 0.0 0.00.9 0.9 0.60.8 0.2 0.26.1 1.4 3.9

Bulgaria







Country data


Low-income group


510 1,125 509465 861 45320.0 36.9 28.7

5.0 4.0 3.7

45 45 37181 314 280136 130 134195 356 642

20.6 28.0 28.20.6 0.3 0.4

13.9 11.7 11.29643

0.3

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.1 0.4 0.30.1 0.8 0.3

188.8 46.1 –36.264 49 60

.. 57 19

849 4,826 5,606

7.9 3.2 5.670 87 9376 60 6472 47 5695 82 8511 31 356 24 32

33 43 44

9.020.0166 130 118

.. 15.5 ..7.4 10.6 7.24.3 3.6 3.20.0 7.5 1.20.0 1.2 1.31.6 0.6 1.40.1 0.6 0.30.6 0.3 0.3

.. –1.8 ..

Country data


Low-income group

Burkina Faso







Country data


Low-income group


Country data


Low-income group

150 1,125 509135 861 45310.7 36.9 28.74.8 4.0 3.7

85 45 3770 314 280

110 130 134804 356 642

6.7 28.0 28.21.7 0.3 0.44.8 11.7 11.21010172

0.3

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.07 0.45 0.280.02 0.85 0.28

–41.0 46.1 –36.231 49 60

.. 57 19

1,283 4,826 5,606

2.9 3.2 5.677 87 9372 60 6471 47 5683 82 8546 31 3546 24 3249 43 44

13.0..

166 130 118

.. 15.5 ..5.5 10.6 7.27.1 3.6 3.20.0 7.5 1.20.8 1.2 1.39.8 0.6 1.40.1 0.6 0.30.1 0.3 0.3

.. –1.8 ..

Burundi







Country data

East Asia & Pacific

group

Low-income group

650 3,163 509582 2,807 45322.2 45.0 28.7

5.2 3.4 3.7

31 48 37388 550 280184 135 134293 657 642

57.2 29.6 28.20.8 –0.2 0.4

24.0 14.9 11.2372428303.5

5.0 3.8 3.2358 1,380 35769.6 12.4 66.2113 1,972 231

96.5 80.3 28.93.1 16.4 48.9

0.2 0.8 0.30.3 4.0 0.3

884.6 148.9 –36.241 61 6026 97 19

8,420 4,582 5,606

3.4 10.2 5.694 74 9361 88 6456 81 5681 96 8529 59 3518 54 3267 64 44

20.018.9

88 26 118

20.3 46.5 ..8.1 10.3 7.21.6 2.1 3.20.0 3.3 1.20.0 0.3 1.30.2 0.0 1.40.4 1.0 0.30.3 0.7 0.3

13.0 33.1 ..


Cambodia







Country data




1,190 1,125 2,321982 861 2,02857.6 36.9 40.94.3 4.0 3.0

19 45 50730 314 588120 130 131138 356 591

42.1 28.0 25.90.7 0.3 0.09.2 11.7 11.53916

110378

12.5

5.4 3.2 4.0372 678 1,01971.0 57.7 16.9263 531 1,31823.6 66.2 78.276.2 17.2 16.8

0.2 0.4 0.70.3 0.8 2.8

254.9 46.1 117.747 49 6336 57 78

14,630 4,826 2,936

0.4 3.2 17.976 87 8174 60 8651 47 8192 82 9447 31 5035 24 4156 43 63

11.018.9154 130 57

.. 15.5 39.98.6 10.6 9.93.1 3.6 2.44.7 7.5 4.00.1 1.2 0.40.0 0.6 0.20.2 0.6 1.00.4 0.3 0.7

.. –1.8 26.2

Cameroon







Country data

High-income group


41,980 37,99032,597 31,467

80.5 77.31.3 1.0

7 3748,710 25,774

119 10614 331

34.1 28.90.0 –0.18.0 13.4121532

221.5

4.5 6.68,008 5,131

4.5 3.917,061 9,518

24.9 62.958.7 11.3

0.5 0.416.9 12.523.8 17.9

15 241,324 964

86,426 9,031

1.6 10.512 42

100 10099 98

100 100100 9999 98

100 100

..

..6 7

18.0 16.114.2 14.1

4.7 4.61.9 0.90.4 0.10.0 0.00.3 0.20.0 0.15.8 5.2

Canada







Country data




3,010 1,125 2,3212,658 861 2,028

60.4 36.9 40.93.5 4.0 3.0

23 45 502,132 314 588

118 130 131310 356 591

21.1 28.0 25.9–1.3 0.3 0.02.5 11.7 11.5

34

203

2.4

.. 3.2 4.0

.. 678 1,019

.. 57.7 16.9

.. 531 1,318

.. 66.2 78.2

.. 17.2 16.8

0.2 0.4 0.70.6 0.8 2.8

250.0 46.1 117.7.. 49 63.. 57 78

610 4,826 2,936

6.8 3.2 17.991 87 8184 60 8682 47 8185 82 9454 31 5038 24 4165 43 63

..

..28 130 57

32.3 15.5 39.910.4 10.6 9.94.6 3.6 2.40.0 7.5 4.00.0 1.2 0.40.0 0.6 0.20.2 0.6 1.0

.. 0.3 0.7

.. –1.8 26.2

Cape Verde







Country data

High-income group


.. 37,990

.. 31,467100.0 77.3

3.9 1.0

11 37.. 25,774

97 1060 331

54.2 28.90.0 –0.18.7 13.4

11

152

0.6

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.410.1 12.5

113.0 17.918 24

.. 964

.. 9,031

.. 10.5

.. 4295 100

.. 9895 10096 99

.. 9896 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Cayman Islands







Country data


Low-income group


450 1,125 509416 861 453

38.7 36.9 28.72.4 4.0 3.7

8 45 37409 314 280123 130 134138 356 642

36.3 28.0 28.20.1 0.3 0.4

14.7 11.7 11.2873

171.5

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.09 0.45 0.280.06 0.85 0.2827.8 46.1 –36.2

34 49 60.. 57 19

33,119 4,826 5,606

0.0 3.2 5.61 87 93

67 60 6451 47 5692 82 8534 31 3528 24 3243 43 44

10.026.5171 130 118

.. 15.5 ..7.2 10.6 7.21.3 3.6 3.20.0 7.5 1.20.0 1.2 1.30.0 0.6 1.40.1 0.6 0.30.2 0.3 0.3

.. –1.8 ..

Central African Republic







Country data


Low-income group


600 1,125 509308 861 45327.1 36.9 28.74.6 4.0 3.7

39 45 37220 314 280125 130 134186 356 642

9.2 28.0 28.20.4 0.3 0.49.4 11.7 11.213

912

2.2

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.03 0.45 0.280.04 0.85 0.28

162.5 46.1 –36.281 49 60

.. 57 19

1,412 4,826 5,606

2.4 3.2 5.652 87 9350 60 6444 47 5667 82 85

9 31 354 24 32

23 43 44

9.231.2209 130 118

.. 15.5 ..

.. 10.6 7.22.3 3.6 3.2

25.2 7.5 1.20.0 1.2 1.30.0 0.6 1.40.0 0.6 0.31.0 0.3 0.3

.. –1.8 ..

Chad







Country data

High-income group


Channel Islands

.. 37,990

.. 31,46731.3 77.30.3 1.0

39 37.. 25,774.. 106

2,785 331

.. 28.9

.. –0.1

.. 13.4

..

..

..

..0.0

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.4

.. 12.5

.. 17.9

.. 24

.. 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2







Country data


group



9,470 7,007 7,5027,001 5,725 5,77388.7 79.0 74.9

1.7 2.0 1.6

21 35 306,569 3,542 3,671

120 131 129154 245 153

21.8 47.0 37.2–0.2 0.3 0.116.5 20.8 13.0

20341941

15.3

7.2 7.7 5.21,871 1,290 2,17715.5 16.8 6.8

3,319 1,907 3,00154.3 38.7 64.740.5 55.3 26.4

0.3 0.3 0.54.3 2.7 5.3

105.4 51.2 3.862 32 31

345 302 320

53,137 24,000 18,143

1.3 2.0 3.270 71 6596 93 9575 80 8699 97 9896 79 8483 54 6798 86 90

..

..9 23 22

23.0 19.5 19.912.6 11.7 11.8

3.6 4.4 4.10.1 3.5 6.49.9 1.3 1.00.0 0.0 0.00.4 0.3 0.60.5 0.3 0.23.2 6.8 3.9

Chile







Country data

East Asia & Pacific

group



3,650 3,163 2,3213,255 2,807 2,028

44.0 45.0 40.93.3 3.4 3.0

56 48 50504 550 588133 135 131694 657 591

22.2 29.6 25.9–0.9 –0.2 0.016.6 14.9 11.5

748597

45366.6

3.6 3.8 4.01,598 1,380 1,019

9.6 12.4 16.92,455 1,972 1,318

80.6 80.3 78.216.9 16.4 16.8

0.9 0.8 0.75.0 4.0 2.8

165.7 148.9 117.766 61 6385 97 78

2,134 4,582 2,936

18.7 10.2 17.965 74 8189 88 8682 81 8198 96 9455 59 5052 54 4158 64 63

..

..19 26 57

53.2 46.5 39.910.2 10.3 9.9

1.8 2.1 2.42.9 3.3 4.00.2 0.3 0.40.0 0.0 0.21.1 1.0 1.00.8 0.7 0.7

39.7 33.1 26.2

China







Country data


group



4,990 7,007 7,5024,048 5,725 5,773

74.8 79.0 74.92.2 2.0 1.6

38 35 302,861 3,542 3,671

128 131 129627 245 153

54.5 47.0 37.20.1 0.3 0.1

20.4 20.8 13.0519150

22751.5

12.0 7.7 5.2684 1,290 2,17714.7 16.8 6.8974 1,907 3,001

16.0 38.7 64.782.8 55.3 26.4

0.2 0.3 0.51.4 2.7 5.3

10.6 51.2 3.820 32 31

171 302 320

47,611 24,000 18,143

0.6 2.0 3.239 71 6592 93 9573 80 8699 97 9874 79 8455 54 6781 86 90

9.613.9

19 23 22

19.2 19.5 19.911.3 11.7 11.84.0 4.4 4.15.9 3.5 6.40.3 1.3 1.00.0 0.0 0.00.2 0.3 0.60.1 0.3 0.25.4 6.8 3.9

Colombia







Country data


Low-income group

Population (thousands) 659 Land area (1,000 sq. km) 2 GDP ($ millions) 535

810 1,125 509764 861 45328.1 36.9 28.72.2 4.0 3.7

81 45 37443 314 280112 130 134579 356 642

1.6 28.0 28.24.5 0.3 0.40.0 11.7 11.2

5865

2.3

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.2 0.4 0.30.2 0.8 0.3

57.1 46.1 –36.234 49 60

.. 57 19

1,910 4,826 5,606

0.8 3.2 5.647 87 9395 60 6497 47 5691 82 8536 31 3530 24 3250 43 44

10.018.3104 130 118

.. 15.5 ..8.0 10.6 7.23.2 3.6 3.20.0 7.5 1.20.0 1.2 1.31.0 0.6 1.40.2 0.6 0.30.0 0.3 0.3

.. –1.8 ..

Comoros







Country data


Low-income group


160 1,125 509124 861 453

34.6 36.9 28.74.2 4.0 3.7

10 45 37166 314 28098 130 134

633 356 642

68.0 28.0 28.20.1 0.3 0.4

10.0 11.7 11.230348183

19.9

0.8 3.2 3.2346 678 35793.4 57.7 66.2

95 531 2310.6 66.2 28.9

99.4 17.2 48.9

0.1 0.4 0.30.04 0.85 0.28

–40.2 46.1 –36.240 49 60

3 57 19

14,395 4,826 5,606

0.1 3.2 5.618 87 9346 60 6428 47 5680 82 8523 31 3523 24 3223 43 44

11.022.7199 130 118

.. 15.5 ..5.9 10.6 7.20.9 3.6 3.22.9 7.5 1.27.9 1.2 1.30.0 0.6 1.40.2 0.6 0.30.5 0.3 0.3

.. –1.8 ..

Congo, Dem. Rep.







Country data




2,080 1,125 2,321752 861 2,02861.7 36.9 40.92.8 4.0 3.0

31 45 50351 314 588123 130 131285 356 591

65.6 28.0 25.90.0 0.3 0.09.4 11.7 11.5113

4537

3.6

9.6 3.2 4.0378 678 1,01951.3 57.7 16.9150 531 1,31818.7 66.2 78.281.3 17.2 16.8

0.1 0.4 0.70.4 0.8 2.8

33.6 46.1 117.768 49 6398 57 78

62,516 4,826 2,936

0.0 3.2 17.99 87 81

71 60 8634 47 8195 82 9430 31 5029 24 4131 43 63

..

..128 130 57

.. 15.5 39.913.6 10.6 9.9

2.5 3.6 2.450.6 7.5 4.0

0.0 1.2 0.40.0 0.6 0.20.2 0.6 1.00.7 0.3 0.7

.. –1.8 26.2

Congo, Rep.







Country data


group



6,260 7,007 7,5025,558 5,725 5,773

63.8 79.0 74.93.3 2.0 1.6

35 35 305,457 3,542 3,671

126 131 129830 245 153

51.0 47.0 37.2–0.1 0.3 0.120.9 20.8 13.0

91946

1169.7

9.6 7.7 5.21,084 1,290 2,177

17.3 16.8 6.81,866 1,907 3,001

7.1 38.7 64.778.0 55.3 26.4

0.2 0.3 0.51.8 2.7 5.3

174.7 51.2 3.832 32 31

320 302 320

25,209 24,000 18,143

2.4 2.0 3.253 71 6597 93 9591 80 86

100 97 9895 79 8496 54 6795 86 90

..

..11 23 22

20.8 19.5 19.911.3 11.7 11.86.2 4.4 4.10.0 3.5 6.40.1 1.3 1.00.1 0.0 0.00.2 0.3 0.60.1 0.3 0.2

15.2 6.8 3.9

Costa Rica







Country data




1,070 1,125 2,321938 861 2,02849.4 36.9 40.93.9 4.0 3.0

64 45 50892 314 588120 130 131377 356 591

32.7 28.0 25.9–0.1 0.3 0.022.6 11.7 11.5

241443

1063.4

3.1 3.2 4.0499 678 1,01974.0 57.7 16.9186 531 1,318

65.2 66.2 78.232.7 17.2 16.8

0.2 0.4 0.70.3 0.8 2.8

10.1 46.1 117.732 49 6321 57 78

3,819 4,826 2,936

1.8 3.2 17.943 87 8180 60 8668 47 8193 82 9423 31 5011 24 4136 43 63

4.020.1119 130 57

15.4 15.5 39.98.8 10.6 9.94.3 3.6 2.43.1 7.5 4.00.0 1.2 0.40.0 0.6 0.20.2 0.6 1.00.3 0.3 0.77.3 –1.8 26.2

Côte d’Ivoire







Country data

High-income group


13,770 37,99011,797 31,467

57.5 77.3–0.1 1.0

23 3713,909 25,774

104 106220 331

34.3 28.9–0.1 –0.17.3 13.4

71056

30.6

8.5 6.62,047 5,131

3.6 3.93,878 9,51856.8 62.942.7 11.3

0.3 0.45.6 12.5

.. 17.927 24

432 964

8,499 9,031

.. 10.5

.. 4299 10097 98

100 10099 9998 9899 100

..11.3

5 7

22.6 16.112.9 14.1

3.9 4.60.7 0.90.0 0.10.2 0.00.3 0.20.2 0.1

12.3 5.2

Croatia







Country data


group



5,550 7,007 7,502.. 5,725 5,773

75.7 79.0 74.90.5 2.0 1.6

62 35 303,647 3,542 3,671

83 131 12976 245 153

27.0 47.0 37.2–1.1 0.3 0.16.2 20.8 13.0141730

16612.5

.. 7.7 5.21,076 1,290 2,17710.0 16.8 6.8

1,327 1,907 3,00197.0 38.7 64.70.8 55.3 26.4

.. 0.3 0.52.4 2.7 5.3

–18.9 51.2 3.821 32 3129 302 320

3,402 24,000 18,143

19.8 2.0 3.275 71 6594 93 9589 80 8696 97 9891 79 8481 54 6794 86 90

..

..6 23 22

.. 19.5 19.9

.. 11.7 11.813.6 4.4 4.1

.. 3.5 6.4

.. 1.3 1.0

.. 0.0 0.0

.. 0.3 0.60.1 0.3 0.2

.. 6.8 3.9

Cuba







Country data

High-income group


30,480 37,99023,767 31,467

70.1 77.31.6 1.0

13 3710,149 25,774

84 106315 331

18.7 28.9–0.2 –0.111.0 13.4

55

178

0.5

8.1 6.62,998 5,131

1.8 3.95,711 9,51899.7 62.90.0 11.3

0.4 0.49.6 12.5

76.2 17.934 24

788 964

914 9,031

24.5 10.578 42

100 100100 98100 100100 99100 98100 100

..

..4 7

.. 16.1

.. 14.14.0 4.60.0 0.90.0 0.10.0 0.00.3 0.20.3 0.1

.. 5.2

Cyprus







Country data

High-income group


17,310 37,99014,602 31,467

73.5 77.30.0 1.0

55 375,687 25,774

99 10691 331

34.4 28.90.0 –0.1

15.1 13.42624

0.1

5.4 6.64,282 5,131

4.9 3.96,464 9,518

61.3 62.92.4 11.3

0.5 0.412.1 12.5

.. 17.918 24

553 964

1,272 9,031

13.6 10.53 42

100 100100 98100 100

98 9997 9899 100

..

..4 7

21.8 16.113.6 14.1

4.0 4.60.3 0.90.0 0.10.0 0.00.6 0.20.0 0.1

11.3 5.2

Czech Republic







Country data

High-income group


59,060 37,99047,216 31,467

86.9 77.30.5 1.0

63 3736,907 25,774

107 10630 331

12.8 28.9–0.7 –0.15.0 13.4

22

143

0.2

9.9 6.63,460 5,131

15.6 3.96,460 9,518

70.1 62.90.1 11.3

0.3 0.49.1 12.5

–0.8 17.916 24

779 964

1,099 9,031

17.4 10.551 42

100 100100 98100 100100 99100 98100 100

..

..4 7

21.4 16.116.5 14.1

7.4 4.61.5 0.90.0 0.10.0 0.00.1 0.20.0 0.1

10.7 5.2

Denmark







Country data

Middle East &

N. Africa group



1,280 3,597 2,3211,192 2,859 2,028

87.7 57.6 40.93.1 2.6 3.0

73 23 5080 2,896 588

147 132 13110,785 818 591

0.3 2.4 25.90.0 –0.1 0.00.0 4.0 11.5

86

152

0.5

.. 4.7 4.0

.. 1,329 1,019

.. 1.1 16.9

.. 1,494 1,318

.. 94.1 78.2

.. 4.4 16.8

0.3 0.6 0.70.6 3.7 2.8

22.0 103.4 117.749 71 63

.. 259 78

360 709 2,936

6.3 122.3 17.916 86 8192 87 8652 80 8198 95 9456 84 5010 76 4163 92 63

..

..94 33 57

.. .. 39.98.1 10.4 9.9

.. 4.3 2.40.0 14.5 4.00.0 0.3 0.40.3 0.0 0.20.4 0.9 1.01.2 0.6 0.7

.. .. 26.2

Djibouti







Country data


group


Population (thousands) 74 Land area (1,000 sq. km) 0.8 GDP ($ millions) 378

4,900 7,007 7,5024,331 5,725 5,773

74.3 79.0 74.90.6 2.0 1.6

31 35 306,848 3,542 3,671

91 131 129382 245 153

60.0 47.0 37.20.4 0.3 0.1

21.7 20.8 13.033

1510

0.9

.. 7.7 5.2

.. 1,290 2,177

.. 16.8 6.8

.. 1,907 3,001

.. 38.7 64.7

.. 55.3 26.4

0.2 0.3 0.51.7 2.7 5.3

106.3 51.2 3.822 32 31

.. 302 320

.. 24,000 18,143

.. 2.0 3.2

.. 71 6595 93 9592 80 8696 97 9881 79 8484 54 6780 86 90

..

..10 23 22

2.4 19.5 19.911.4 11.7 11.83.9 4.4 4.10.0 3.5 6.40.0 1.3 1.00.0 0.0 0.00.3 0.3 0.6

.. 0.3 0.2

.. 6.8 3.9

Dominica







Country data


group



4,550 7,007 7,5023,944 5,725 5,773

69.8 79.0 74.92.9 2.0 1.6

52 35 303,989 3,542 3,671

131 131 129385 245 153

40.8 47.0 37.20.0 0.3 0.1

22.1 20.8 13.06

1417306.0

9.2 7.7 5.2820 1,290 2,17718.9 16.8 6.8

1,377 1,907 3,00188.6 38.7 64.711.2 55.3 26.4

0.3 0.3 0.52.1 2.7 5.3

116.9 51.2 3.816 32 31

144 302 320

2,140 24,000 18,143

16.6 2.0 3.264 71 6586 93 9584 80 8687 97 9883 79 8474 54 6787 86 90

20.020.1

32 23 22

10.5 19.5 19.911.1 11.7 11.81.9 4.4 4.10.0 3.5 6.40.5 1.3 1.00.0 0.0 0.00.4 0.3 0.60.0 0.3 0.20.4 6.8 3.9

Dominican Republic







Country data


group



Ecuador

3,970 7,007 2,3213,269 5,725 2,028

66.2 79.0 40.92.5 2.0 3.0

30 35 502,092 3,542 588

126 131 131375 245 591

39.7 47.0 25.91.1 0.3 0.0

25.1 20.8 11.5437149

1,83729.3

9.9 7.7 4.0767 1,290 1,0196.3 16.8 16.9

1,137 1,907 1,31837.0 38.7 78.260.7 55.3 16.8

0.3 0.3 0.72.2 2.7 2.8

78.1 51.2 117.720 32 63

289 302 78

32,379 24,000 2,936

3.5 2.0 17.992 71 8194 93 8688 80 8197 97 9492 79 5084 54 4196 86 63

57.219.9

24 23 57

24.1 19.5 39.910.7 11.7 9.91.4 4.4 2.49.8 3.5 4.00.0 1.3 0.40.0 0.0 0.20.4 0.3 1.00.0 0.3 0.74.4 6.8 26.2







Country data

Middle East &

N. Africa group



2,070 3,597 2,3211,872 2,859 2,02842.8 57.6 40.9

1.8 2.6 3.0

4 23 502,931 2,896 588

139 132 1311,684 818 591

0.1 2.4 25.9–1.6 –0.1 0.05.9 4.0 11.5171036

22.9

5.8 4.7 4.0867 1,329 1,0192.1 1.1 16.9

1,425 1,494 1,31888.1 94.1 78.211.2 4.4 16.8

0.5 0.6 0.72.3 3.7 2.8

143.2 103.4 117.797 71 63

145 259 78

22 709 2,936

3,788.9 122.3 17.986 86 8199 87 8698 80 81

100 95 9494 84 5092 76 4197 92 63

9.018.4

21 33 57

16.7 .. 39.99.6 10.4 9.94.4 4.3 2.47.0 14.5 4.00.1 0.3 0.40.1 0.0 0.20.8 0.9 1.00.5 0.6 0.73.1 .. 26.2

Egypt, Arab Rep.







Country data


group



3,370 7,007 2,3212,951 5,725 2,028

61.0 79.0 40.91.9 2.0 3.0

75 35 502,807 3,542 588

116 131 131352 245 591

13.9 47.0 25.90.9 0.3 0.00.8 20.8 11.5

55

1227

0.9

7.9 7.7 4.0796 1,290 1,01931.2 16.8 16.9953 1,907 1,31838.6 38.7 78.234.2 55.3 16.8

0.2 0.3 0.71.1 2.7 2.8

155.9 51.2 117.728 32 63

131 302 78

2,907 24,000 2,936

7.8 2.0 17.955 71 8187 93 8676 80 8194 97 9487 79 5083 54 4189 86 63

42.019.8

17 23 57

11.7 19.5 39.910.5 11.7 9.93.3 4.4 2.40.0 3.5 4.00.0 1.3 0.40.5 0.0 0.20.3 0.3 1.00.1 0.3 0.73.7 6.8 26.2

El Salvador








Country data

High-income group

12,420 37,9902,205 31,467

39.5 77.33.7 1.0

11 37993 25,774

89 106305 331

58.0 28.90.4 –0.1

19.2 13.419

527681.5

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

0.3 0.47.5 12.5

3,863.6 17.97 24.. 964

40,485 9,031

0.1 10.56 42

43 10042 9845 10051 9946 9860 100

..

..145 7

.. 16.120.6 14.11.2 4.6

66.0 0.90.0 0.10.0 0.00.7 0.20.0 0.1

.. 5.2

Equatorial Guinea







Country data


Low-income group


320 1,125 509338 861 45321.2 36.9 28.7

4.0 4.0 3.7

75 45 3765 314 280

126 130 134583 356 642

15.2 28.0 28.20.2 0.3 0.45.0 11.7 11.2101018

30.8

3.8 3.2 3.2138 678 357

80.0 57.7 66.2.. 531 231

99.3 66.2 28.90.0 17.2 48.9

0.2 0.4 0.30.1 0.8 0.3

.. 46.1 –36.271 49 607 57 19

586 4,826 5,606

14.8 3.2 5.695 87 9361 60 6457 47 5674 82 8514 31 354 24 32

52 43 44

19.023.6

55 130 118

.. 15.5 ..6.8 10.6 7.21.6 3.6 3.20.0 7.5 1.20.0 1.2 1.30.8 0.6 1.40.2 0.6 0.30.3 0.3 0.3

.. –1.8 ..

Eritrea







Country data

High-income group


14,060 37,99011,945 31,467

69.5 77.3–1.0 1.0

19 373,207 25,774

134 10668 331

52.3 28.9–0.2 –0.120.0 13.4

1340

0.1

4.7 6.64,026 5,131

11.7 3.96,348 9,518

95.4 62.90.3 11.3

0.8 0.415.2 12.5

.. 17.913 24

542 964

9,473 9,031

1.2 10.5.. 42

98 10097 9899 10095 9994 9896 100

..

..6 7

24.2 16.112.8 14.1

4.4 4.60.7 0.90.0 0.10.0 0.00.8 0.20.0 0.1

14.4 5.2

Estonia







Country data


Low-income group


330 1,125 509306 861 45317.3 36.9 28.74.5 4.0 3.7

35 45 37208 314 280151 130 134492 356 642

12.3 28.0 28.20.7 0.3 0.4

18.4 11.7 11.232231426

8.4

2.0 3.2 3.2393 678 35792.4 57.7 66.2

42 531 23112.4 66.2 28.987.3 17.2 48.9

0.1 0.4 0.30.08 0.85 0.28

115.7 46.1 –36.259 49 6016 57 19

1,551 4,826 5,606

4.6 3.2 5.694 87 9338 60 6426 47 5698 82 8512 31 35

8 24 3229 43 44

12.623.6104 130 118

16.2 15.5 ..6.7 10.6 7.23.7 3.6 3.20.0 7.5 1.20.1 1.2 1.34.4 0.6 1.40.2 0.6 0.30.2 0.3 0.38.3 –1.8 ..

Ethiopia







Country data

High-income group


.. 37,990

.. 31,46742.0 77.31.8 1.0

2 37.. 25,774

79 106947 331

.. 28.9

.. –0.1

.. 13.45080

0.3

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.414.4 12.511.8 17.9

10 24.. 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Faeroe Islands







Country data

East Asia & Pacific

group



3,840 3,163 7,5022,994 2,807 5,773

52.9 45.0 74.92.1 3.4 1.6

23 48 302,115 550 3,671

89 135 129237 657 153

55.5 29.6 37.2–0.2 –0.2 0.11.3 14.9 13.0

61311653.9

.. 3.8 5.2

.. 1,380 2,177

.. 12.4 6.8

.. 1,972 3,001

.. 80.3 64.7

.. 16.4 26.4

0.4 0.8 0.51.7 4.0 5.3

78.5 148.9 3.819 61 31

.. 97 320

34,041 4,582 18,143

0.3 10.2 3.261 74 65

.. 88 95

.. 81 8693 96 98

.. 59 84

.. 54 6796 64 90

..

..18 26 22

.. 46.5 19.910.1 10.3 11.86.0 2.1 4.10.0 3.3 6.40.0 0.3 1.00.0 0.0 0.00.4 1.0 0.60.1 0.7 0.2

.. 33.1 3.9

Fiji







Country data

High-income group


45,940 37,99037,010 31,467

63.6 77.30.5 1.0

8 3742,398 25,774

104 10686 331

72.9 28.90.0 –0.19.1 13.4

1451

0.2

5.1 6.66,635 5,131

21.8 3.916,350 9,518

26.8 62.922.1 11.3

0.4 0.412.1 12.526.0 17.9

15 24740 964

20,232 9,031

2.1 10.53 42

100 100100 98100 100100 99100 98100 100

..

..3 7

19.8 16.117.0 14.15.5 4.60.0 0.90.1 0.10.0 0.00.2 0.20.0 0.18.1 5.2

Finland







Country data

High-income group

Population (millions)a 63 Land area (1,000 sq. km) 548 GDP ($ billions) 2,649.4

42,620 37,99036,605 31,467

77.6 77.30.8 1.0

53 3753,497 25,774

98 10677 331

29.1 28.9–0.3 –0.115.1 13.4

97

4015

5.3

7.4 6.64,279 5,131

5.2 3.97,931 9,518

9.6 62.911.2 11.3

0.2 0.46.0 12.5

–6.8 17.913 24

666 964

3,229 9,031

15.9 10.512 42

100 100100 98100 100100 99100 98100 100

..

..4 7

16.3 16.114.2 14.15.0 4.60.0 0.90.0 0.10.0 0.00.1 0.20.0 0.17.0 5.2

a. Excludes the French overseas departments of French Guiana, Guadeloupe, Martinique, and Réunion.

France







Country data

High-income group


.. 37,990

.. 31,46751.6 77.31.3 1.0

12 374,772 25,774

113 1064,283 331

42.3 28.9–3.5 –0.10.4 13.4

1322047

4.6

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.43.1 12.5

27.9 17.9.. 24.. 964

38,120 9,031

.. 10.5

.. 42100 100100 98100 100

98 9997 9899 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

French Polynesia







Country data




7,370 1,125 7,5023,733 861 5,77385.5 36.9 74.9

3.6 4.0 1.6

20 45 301,860 314 3,671

103 130 12967 356 153

85.4 28.0 37.20.0 0.3 0.1

14.9 11.7 13.0145

591203.0

9.4 3.2 5.21,431 678 2,17752.5 57.7 6.8

1,158 531 3,00155.8 66.2 64.743.8 17.2 26.4

0.1 0.4 0.51.4 0.8 5.3

–66.6 46.1 3.87 49 31

143 57 320

115,340 4,826 18,143

0.1 3.2 3.238 87 6587 60 9541 47 8695 82 9833 31 8430 24 6733 43 90

13.015.7

69 130 22

.. 15.5 19.913.2 10.6 11.8

3.1 3.6 4.129.1 7.5 6.4

0.1 1.2 1.00.0 0.6 0.00.2 0.6 0.60.0 0.3 0.2

.. –1.8 3.9

Gabon







Country data


Low-income group

Population (millions) 1.7 Land area (1,000 sq. km) 10 GDP ($ millions) 733

440 1,125 509372 861 45357.3 36.9 28.75.5 4.0 3.7

66 45 37271 314 280117 130 134186 356 642

48.0 28.0 28.2–0.3 0.3 0.41.5 11.7 11.2106

214

0.1

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.2 0.4 0.30.2 0.8 0.3

107.7 46.1 –36.262 49 60

.. 57 19

1,857 4,826 5,606

2.4 3.2 5.628 87 9392 60 6486 47 5696 82 8567 31 3565 24 3268 43 44

8.021.5103 130 118

20.0 15.5 ..7.5 10.6 7.22.1 3.6 3.20.0 7.5 1.20.0 1.2 1.31.0 0.6 1.40.4 0.6 0.30.4 0.3 0.3

12.9 –1.8 ..

Gambia, The







Country data

Europe & Central

Asia group



2,530 6,793 2,3212,263 4,892 2,028

52.8 64.0 40.9–1.5 0.2 3.0

36 28 501,925 3,011 588

66 126 131435 148 591

39.5 38.6 25.90.0 0.0 0.03.7 7.4 11.5101090

0.6

6.6 3.6 4.0694 3,030 1,01912.7 1.7 16.9

1,678 4,052 1,31815.2 67.5 78.284.8 16.4 16.8

0.3 0.7 0.71.4 7.2 2.8

.. –31.3 117.749 24 63

135 228 78

13,339 12,913 2,936

2.8 7.0 17.965 63 8198 95 8696 89 81

100 98 9495 89 5093 80 4196 94 63

4.06.029 21 57

0.2 19.8 39.98.8 11.7 9.92.8 3.6 2.40.1 8.7 4.00.0 0.4 0.40.0 0.0 0.20.4 0.9 1.00.7 0.2 0.7

–7.1 1.4 26.2

Georgia







Country data

High-income group

Population (millions) 82 Land area (1,000 sq. km) 349 GDP ($ billions) 3,330.0

42,450 37,99035,503 31,467

73.7 77.30.2 1.0

49 3727,855 25,774

103 106181 331

31.8 28.9–0.1 –0.140.5 13.4

66

21120.6

8.3 6.64,083 5,131

7.0 3.97,149 9,51861.4 62.93.3 11.3

0.3 0.49.6 12.5

.. 17.916 24

609 964

1,301 9,031

36.6 10.53 42

100 100100 98100 100100 99100 98100 100

..

..4 7

21.2 16.113.8 14.1

4.3 4.60.1 0.90.0 0.10.0 0.00.2 0.20.0 0.1

11.4 5.2

Germany







Country data


Low-income group


1,190 1,125 509927 861 453

50.8 36.9 28.74.2 4.0 3.7

69 45 37360 314 280155 130 134265 356 642

21.7 28.0 28.21.4 0.3 0.4

14.0 11.7 11.2169

421181.9

3.4 3.2 3.2405 678 357

66.8 57.7 66.2268 531 23125.9 66.2 28.974.1 17.2 48.9

0.3 0.4 0.30.4 0.8 0.3

149.5 46.1 –36.224 49 6049 57 19

1,325 4,826 5,606

3.2 3.2 5.666 87 9382 60 6474 47 5690 82 8513 31 35

7 24 3218 43 44

10.017.9

69 130 118

15.7 15.5 ..9.4 10.6 7.24.7 3.6 3.20.0 7.5 1.24.8 1.2 1.32.1 0.6 1.40.3 0.6 0.30.0 0.3 0.33.8 –1.8 ..

Ghana







Population (thousands) 31 Land area (sq. km) 10 GDP ($ billions) ..

Country data

High-income group

.. 37,990

.. 31,467100.0 77.3

0.0 1.0

.. 37

.. 25,774

.. 1060 331

0.0 28.90.0 –0.14.7 13.4

53

120

0.0

.. 6.65,124 5,131

0.0 3.95,349 9,518100.0 62.9

0.0 11.3

.. 0.413.1 12.58.5 17.9

.. 243 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Gibraltar








Country data

High-income group

29,040 37,99024,430 31,467

61.2 77.30.8 1.0

36 379,524 25,774

83 106209 331

30.3 28.9–0.6 –0.113.8 13.4

10117313

2.8

10.0 6.62,707 5,131

3.4 3.95,723 9,51890.8 62.9

5.3 11.3

0.3 0.48.8 12.5

34.9 17.932 24

581 964

5,182 9,031

12.2 10.588 42

100 10099 98

100 10098 9997 9899 100

..

..3 7

3.4 16.113.9 14.1

3.3 4.60.1 0.90.0 0.10.0 0.00.2 0.20.3 0.1

–7.9 5.2

Greece







Country data

High-income group


26,160 37,990.. 31,467

83.8 77.30.3 1.0

1 37.. 25,774

99 106.. 331

.. 28.9

.. –0.140.5 13.4

6071

1.1

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.49.2 12.5

–6.6 17.9.. 24.. 964

10,662,187 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.60.0 0.90.0 0.1

.. 0.00.3 0.2

.. 0.1

.. 5.2

Greenland







Country data


group



5,580 7,007 7,502.. 5,725 5,773

30.9 79.0 74.90.2 2.0 1.6

35 35 302,711 3,542 3,671

87 131 1293,580 245 153

50.0 47.0 37.20.0 0.3 0.11.7 20.8 13.0

31

153

0.6

.. 7.7 5.2

.. 1,290 2,177

.. 16.8 6.8

.. 1,907 3,001

.. 38.7 64.7

.. 55.3 26.4

0.3 0.3 0.52.3 2.7 5.3

100.0 51.2 3.821 32 31

.. 302 320

.. 24,000 18,143

.. 2.0 3.2

.. 71 6595 93 9593 80 8697 97 9897 79 8497 54 6796 86 90

..

..15 23 22

–9.3 19.5 19.912.0 11.7 11.8

4.7 4.4 4.10.0 3.5 6.40.0 1.3 1.0

.. 0.0 0.00.3 0.3 0.6

.. 0.3 0.2

.. 6.8 3.9

Grenada







Country data

High-income group


.. 37,990

.. 31,46793.2 77.3

1.6 1.0

35 37.. 25,774

109 1061,201 331

48.1 28.90.0 –0.1

26.4 13.42

1464

0.2

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.4

.. 12.5

.. 17.9

.. 24

.. 964

.. 9,031

.. 10.5

.. 42100 100100 98100 10099 9998 9899 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Guam







Country data


group


2,650 7,007 2,3212,283 5,725 2,028

49.0 79.0 40.93.3 2.0 3.0

39 35 502,783 3,542 588

141 131 131531 245 591

34.1 47.0 25.90.9 0.3 0.0

30.6 20.8 11.5161020828.0

7.4 7.7 4.0590 1,290 1,019

53.3 16.8 16.9543 1,907 1,31839.6 38.7 78.242.6 55.3 16.8

0.2 0.3 0.71.0 2.7 2.8

154.2 51.2 117.760 32 63

134 302 78

8,177 24,000 2,936

2.7 2.0 17.955 71 8194 93 8690 80 8198 97 9481 79 5073 54 4189 86 63

18.013.3

40 23 57

12.9 19.5 39.910.1 11.7 9.92.9 4.4 2.40.4 3.5 4.00.0 1.3 0.40.8 0.0 0.20.3 0.3 1.00.1 0.3 0.74.0 6.8 26.2


Guatemala








370 1,125 509316 861 453

34.9 36.9 28.73.8 4.0 3.7

56 45 37321 314 280133 130 134269 356 642

26.6 28.0 28.20.3 0.3 0.46.8 11.7 11.2221363222.3

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.2 0.4 0.30.1 0.8 0.3

31.6 46.1 –36.253 49 60

.. 57 19

23,505 4,826 5,606

0.7 3.2 5.684 87 9371 60 6461 47 5689 82 8519 31 3511 24 3234 43 44

15.021.2142 130 118

8.5 15.5 ..7.7 10.6 7.22.3 3.6 3.20.0 7.5 1.23.7 1.2 1.32.9 0.6 1.40.3 0.6 0.30.5 0.3 0.3

–4.2 –1.8 ..

Guinea







Population (millions) 1.6 Land area (1,000 sq. km) 28.1 GDP ($ millions) 837

510 1,125 509475 861 453

29.9 36.9 28.72.7 4.0 3.7

58 45 37273 314 280122 130 134368 356 642

71.9 28.0 28.20.3 0.3 0.4

16.1 11.7 11.212

330

40.6

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.2 0.4 0.30.2 0.8 0.3

13.0 46.1 –36.247 49 60

.. 57 19

10,383 4,826 5,606

1.1 3.2 5.682 87 9361 60 6451 47 5683 82 8521 31 359 24 32

49 43 44

10.031.5193 130 118

.. 15.5 ..7.4 10.6 7.22.3 3.6 3.20.0 7.5 1.20.0 1.2 1.30.0 0.6 1.40.3 0.6 0.30.6 0.3 0.3

.. –1.8 ..

Guinea-Bissau







Country data


group



2,660 7,007 2,3211,246 5,725 2,02828.4 79.0 40.9–0.1 2.0 3.0

9 35 503,428 3,542 588

95 131 131130 245 591

77.2 47.0 25.90.0 0.3 0.04.9 20.8 11.5

93

25223.0

.. 7.7 4.0

.. 1,290 1,019

.. 16.8 16.9

.. 1,907 1,318

.. 38.7 78.2

.. 55.3 16.8

0.7 0.3 0.72.0 2.7 2.8

32.2 51.2 117.722 32 63

.. 302 78

315,404 24,000 2,936

0.7 2.0 17.998 71 8194 93 8693 80 8198 97 9481 79 5080 54 4185 86 63

5.0..

35 23 57

.. 19.5 39.9

.. 11.7 9.95.7 4.4 2.40.0 3.5 4.03.4 1.3 0.40.0 0.0 0.20.6 0.3 1.00.2 0.3 0.7

.. 6.8 26.2

Guyana







Country data


group

Low-income group


.. 7,007 509

.. 5,725 45348.2 79.0 28.7

4.6 2.0 3.7

65 35 37.. 3,542 280

112 131 134525 245 642

3.7 47.0 28.20.5 0.3 0.40.3 20.8 11.2

5131729

5.2

3.7 7.7 3.2281 1,290 35771.2 16.8 66.2

23 1,907 23162.8 38.7 28.937.2 55.3 48.9

0.2 0.3 0.30.2 2.7 0.3

141.3 51.2 –36.235 32 6025 302 19

1,338 24,000 5,606

9.2 2.0 5.678 71 9363 93 6455 80 5671 97 8517 79 3510 54 3224 86 44

39.025.7

87 23 118

.. 19.5 ..

.. 11.7 7.21.5 4.4 3.2

.. 3.5 1.2

.. 1.3 1.3

.. 0.0 1.4

.. 0.3 0.30.4 0.3 0.3

.. 6.8 ..

Haiti







Country data


group



1,800 7,007 2,3211,666 5,725 2,02848.3 79.0 40.9

3.2 2.0 3.0

28 35 501,984 3,542 588

145 131 131375 245 591

46.4 47.0 25.91.5 0.3 0.0

18.2 20.8 11.579

221137.2

5.7 7.7 4.0632 1,290 1,01941.7 16.8 16.9708 1,907 1,31861.9 38.7 78.235.0 55.3 16.8

0.3 0.3 0.71.2 2.7 2.8

240.7 51.2 117.742 32 63

135 302 78

13,372 24,000 2,936

1.2 2.0 17.958 71 8186 93 8677 80 8195 97 9471 79 5062 54 4180 86 63

..19.3

30 23 57

16.6 19.5 39.99.6 11.7 9.93.5 4.4 2.40.0 3.5 4.00.4 1.3 0.40.0 0.0 0.20.5 0.3 1.00.2 0.3 0.79.5 6.8 26.2

Honduras







Country data

High-income group


31,570 37,99026,703 31,467100.0 77.3

1.1 1.0

.. 37

.. 25,774

.. 106

.. 331

.. 28.9

.. –0.141.8 13.4

217116..

20.0 6.62,026 5,131

0.4 3.95,866 9,518100.0 62.9

0.0 11.3

0.1 0.45.8 12.5

44.5 17.9.. 24

204 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.13.0 4.60.0 0.90.0 0.10.0 0.00.1 0.2

.. 0.1

.. 5.2

Hong Kong SAR, China







Country data

High-income group


12,980 37,99010,493 31,467

67.9 77.30.0 1.0

64 3710,948 25,774

100 10671 331

22.6 28.9–0.4 –0.15.1 13.4

2981

0.2

6.8 6.62,636 5,131

5.8 3.93,989 9,518

56.8 62.90.5 11.3

0.3 0.45.6 12.5

–11.0 17.916 24

435 964

597 9,031

89.6 10.51 42

100 100100 98100 100100 99100 98100 100

..

..6 7

.. 16.113.0 14.15.3 4.60.2 0.90.0 0.10.0 0.00.4 0.20.0 0.1

.. 5.2

Hungary







Country data

High-income group


43,430 37,99028,659 31,467

92.3 77.31.3 1.0

23 3755,355 25,774

109 106351 331

0.3 28.9–4.1 –0.19.7 13.4

50

120

0.7

2.2 6.616,556 5,131

0.1 3.950,067 9,518

0.0 62.975.5 11.3

0.2 0.47.5 12.5

12.9 17.914 24

885 964

545,631 9,031

0.1 10.50 42

100 100100 98100 100100 99100 98100 100

..

..3 7

12.6 16.115.6 14.1

7.3 4.60.0 0.90.0 0.10.0 0.00.2 0.20.0 0.14.1 5.2

Iceland







Country data

South Asia

group



1,220 1,107 2,321983 952 2,02829.8 29.8 40.9

2.4 2.7 3.0

60 55 50471 494 588119 123 131508 633 591

23.0 17.1 25.9–0.2 –0.1 0.05.3 6.1 11.59478

12225539.9

5.1 5.2 4.0545 495 1,01926.3 28.5 16.9566 503 1,31882.6 80.5 78.213.8 15.4 16.8

0.5 0.5 0.71.4 1.2 2.8

133.5 134.1 117.759 72 6336 36 78

1,134 1,195 2,936

47.8 51.7 17.991 90 8188 87 8684 83 8196 95 9431 36 5021 27 4154 57 63

19.019.2

66 71 57

35.2 32.3 39.98.6 8.4 9.93.1 2.9 2.42.2 2.1 4.01.1 0.9 0.40.9 0.9 0.20.9 0.9 1.00.5 0.5 0.7

24.1 21.6 26.2

India







Country data

East Asia & Pacific

group



2,050 3,163 2,3211,714 2,807 2,02852.6 45.0 40.94.2 3.4 3.0

27 48 50706 550 588146 135 131502 657 591

52.1 29.6 25.90.8 –0.2 0.0

14.1 14.9 11.518311913839381.0

4.2 3.8 4.0874 1,380 1,019

26.7 12.4 16.9591 1,972 1,31886.7 80.3 78.2

7.7 16.4 16.8

0.5 0.8 0.71.8 4.0 2.8

165.5 148.9 117.772 61 63

103 97 78

8,987 4,582 2,936

5.6 10.2 17.982 74 8180 88 8671 81 8189 96 9452 59 5036 54 4167 64 63

8.010.4

39 26 57

26.2 46.5 39.910.9 10.3 9.93.3 2.1 2.45.3 3.3 4.01.2 0.3 0.40.0 0.0 0.20.6 1.0 1.00.5 0.7 0.7

11.0 33.1 26.2

Indonesia







Country data

Middle East &

N. Africa group



4,530 3,597 7,5023,219 2,859 5,77369.0 57.6 74.9

2.6 2.6 1.6

30 23 303,061 2,896 3,671

124 132 129133 818 153

6.8 2.4 37.20.0 –0.1 0.17.1 4.0 13.0162129

17.3

3.7 4.7 5.22,808 1,329 2,177

0.5 1.1 6.82,423 1,494 3,001

97.6 94.1 64.72.3 4.4 26.4

0.7 0.6 0.57.0 3.7 5.3

118.3 103.4 3.855 71 31

522 259 320

1,809 709 18,143

72.5 122.3 3.292 86 6593 87 9583 80 8698 95 9883 84 8478 76 6786 92 90

24.011.3

31 33 22

.. .. 19.910.7 10.4 11.84.0 4.3 4.1

17.7 14.5 6.40.2 0.3 1.00.0 0.0 0.01.1 0.9 0.60.5 0.6 0.2

.. .. 3.9

Iran, Islamic Rep.







Country data

Middle East &

N. Africa group



2,210 3,597 2,321868 2,859 2,02866.5 57.6 40.9

2.4 2.6 3.0

22 23 502,261 2,896 588

92 132 131197 818 591

1.9 2.4 25.9–0.1 –0.1 0.00.1 4.0 11.51318110

1.6

2.9 4.7 4.01,107 1,329 1,019

0.1 1.1 16.91,164 1,494 1,31898.5 94.1 78.2

1.5 4.4 16.8

1.1 0.6 0.73.3 3.7 2.8

90.5 103.4 117.7138 71 63330 259 78

1,175 709 2,936

187.5 122.3 17.979 86 8179 87 8655 80 8191 95 9473 84 5066 76 4176 92 63

7.0..

44 33 57

.. .. 39.910.1 10.4 9.9

.. 4.3 2.445.7 14.5 4.00.0 0.3 0.40.0 0.0 0.21.3 0.9 1.02.6 0.6 0.7

.. .. 26.2

Iraq







Country data

High-income group


44,280 37,99034,098 31,467

61.6 77.31.7 1.0

61 3712,361 25,774

90 106155 331

10.7 28.9–1.6 –0.11.0 13.4

51

181

0.6

11.6 6.63,385 5,131

1.8 3.96,301 9,518

78.4 62.93.3 11.3

0.2 0.410.2 12.546.1 17.9

13 24996 964

11,246 9,031

.. 10.5

.. 42100 100100 98100 10099 9998 98

100 100

..

..4 7

11.5 16.117.7 14.15.2 4.60.0 0.90.0 0.10.0 0.00.2 0.20.0 0.1

–1.1 5.2

Ireland







Country data

High-income group


.. 37,990

.. 31,46750.7 77.30.6 1.0

74 37.. 25,774.. 106

761 331

5.3 28.90.0 –0.1

.. 13.40020

0.0

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.4

.. 12.5

.. 17.9

.. 24

.. 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Isle of Man







Country data

High-income group

25,790 37,99022,092 31,467

91.7 77.32.5 1.0

23 37.. 25,774

122 106202 331

7.1 28.9–0.5 –0.118.7 13.4

151335

00.8

8.5 6.63,011 5,131

0.0 3.97,054 9,51899.6 62.9

0.0 11.3

0.4 0.49.3 12.5

99.0 17.928 24

481 964

104 9,031

241.9 10.558 42

100 100100 98100 100100 99100 98100 100

..

..4 7

20.8 16.113.6 14.1

5.7 4.60.1 0.90.1 0.10.0 0.00.3 0.20.1 0.1

12.2 5.2


Israel








Country data

High-income group

35,110 37,99029,618 31,467

68.2 77.30.4 1.0

46 3729,199 25,774

95 106268 331

31.1 28.9–0.6 –0.19.9 13.4

78

4227

3.8

9.6 6.62,942 5,131

3.0 3.95,661 9,51880.6 62.913.3 11.3

0.3 0.47.7 12.57.4 17.923 24

626 964

3,074 9,031

24.8 10.544 42

100 100100 98100 100

.. 99

.. 98

.. 100

..

..4 7

16.3 16.114.0 14.1

4.1 4.60.1 0.90.0 0.10.0 0.00.2 0.20.1 0.16.1 5.2

Italy








Country data


group


4,590 7,007 7,5023,729 5,725 5,77353.5 79.0 74.9

1.1 2.0 1.6

43 35 302,367 3,542 3,671

100 131 1291,004 245 153

31.1 47.0 37.20.1 0.3 0.1

18.9 20.8 13.05

1017

2094.4

4.4 7.7 5.21,633 1,290 2,177

11.1 16.8 6.82,552 1,907 3,001

96.0 38.7 64.72.0 55.3 26.4

0.7 0.3 0.55.2 2.7 5.3

75.3 51.2 3.837 32 31

204 302 320

3,514 24,000 18,143

6.2 2.0 3.234 71 6594 93 9589 80 8698 97 9883 79 8484 54 6782 86 90

3.0..

31 23 22

13.5 19.5 19.911.2 11.7 11.86.2 4.4 4.10.0 3.5 6.40.7 1.3 1.00.0 0.0 0.00.8 0.3 0.60.2 0.3 0.26.9 6.8 3.9

Jamaica








Country data

High-income group

38,080 37,99035,439 31,467

66.6 77.30.5 1.0

13 3752,062 25,774

95 106994 331

68.5 28.90.0 –0.1

16.3 13.428405915

36.0

8.1 6.63,883 5,131

1.4 3.98,071 9,51862.8 62.9

7.1 11.3

0.3 0.49.8 12.58.8 17.927 24

541 964

3,365 9,031

20.6 10.562 42

100 100100 98100 100100 99100 98100 100

..

..3 7

22.9 16.113.5 14.13.2 4.60.0 0.90.0 0.10.0 0.00.2 0.20.2 0.1

12.1 5.2

Japan







Country data

Middle East &

N. Africa group



3,980 3,597 2,3213,830 2,859 2,028

78.5 57.6 40.93.9 2.6 3.0

11 23 502,560 2,896 588

156 132 131853 818 591

1.1 2.4 25.90.0 –0.1 0.09.4 4.0 11.5131013

10.4

4.2 4.7 4.01,215 1,329 1,019

0.1 1.1 16.92,087 1,494 1,318

99.5 94.1 78.20.4 4.4 16.8

0.8 0.6 0.73.8 3.7 2.8

106.2 103.4 117.733 71 63

264 259 78

120 709 2,936

136.5 122.3 17.965 86 8196 87 8691 80 8198 95 9498 84 5097 76 4198 92 63

6.018.0

25 33 57

9.6 .. 39.910.3 10.4 9.9

5.6 4.3 2.40.1 14.5 4.01.0 0.3 0.40.0 0.0 0.20.7 0.9 1.00.2 0.6 0.73.0 .. 26.2

Jordan







Country data

Europe & Central

Asia group



6,920 6,793 7,5024,215 4,892 5,77358.2 64.0 74.9

0.0 0.2 1.6

77 28 301,775 3,011 3,671

145 126 12929 148 153

1.2 38.6 37.20.1 0.0 0.12.5 7.4 13.0162114165.1

2.3 3.6 5.24,525 3,030 2,177

0.2 1.7 6.84,689 4,052 3,001

90.7 67.5 64.79.3 16.4 26.4

1.4 0.7 0.514.7 7.2 5.3

.. –31.3 3.815 24 31

277 228 320

4,871 12,913 18,143

42.1 7.0 3.287 63 6595 95 9590 89 8699 98 9897 89 8498 80 6797 94 90

3.013.4

29 21 22

30.8 19.8 19.912.7 11.7 11.84.4 3.6 4.1

20.8 8.7 6.41.2 0.4 1.00.0 0.0 0.01.6 0.9 0.60.1 0.2 0.2

–1.2 1.4 3.9

Kazakhstan








760 1,125 509675 861 45321.9 36.9 28.73.8 4.0 3.7

48 45 37349 314 280126 130 134573 356 642

6.1 28.0 28.20.2 0.3 0.4

11.6 11.7 11.2283066

1298.8

3.1 3.2 3.2465 678 35776.9 57.7 66.2155 531 231

38.4 66.2 28.940.4 17.2 48.9

0.2 0.4 0.30.3 0.8 0.3

92.9 46.1 –36.230 49 6026 57 19

548 4,826 5,606

13.2 3.2 5.679 87 9359 60 6452 47 5683 82 8531 31 3532 24 3227 43 44

18.017.1

84 130 118

15.4 15.5 ..7.4 10.6 7.26.6 3.6 3.20.0 7.5 1.20.0 1.2 1.31.2 0.6 1.40.3 0.6 0.30.1 0.3 0.3

13.1 –1.8 ..

Country data


Low-income group

Kenya







Country data

East Asia & Pacific

group



1,830 3,163 2,321.. 2,807 2,028

43.9 45.0 40.92.8 3.4 3.0

42 48 501,443 550 588

125 135 1312,711 657 591

14.8 29.6 25.90.0 –0.2 0.0

22.0 14.9 11.51690

1.1

.. 3.8 4.0

.. 1,380 1,019

.. 12.4 16.9

.. 1,972 1,318

.. 80.3 78.2

.. 16.4 16.8

0.1 0.8 0.70.3 4.0 2.8

50.0 148.9 117.7.. 61 63.. 97 78

.. 4,582 2,936

.. 10.2 17.9

.. 74 8161 88 8653 81 8177 96 9431 59 5022 54 4149 64 63

..

..46 26 57

.. 46.5 39.96.4 10.3 9.9

.. 2.1 2.40.0 3.3 4.00.0 0.3 0.4

.. 0.0 0.20.1 1.0 1.0

.. 0.7 0.7

.. 33.1 26.2

Kiribati







Country data

East Asia & Pacific

group

Low-income group

.. 3,163 50963 2,807 4531.3 45.0 28.70.9 3.4 3.7

25 48 37.. 550 280

111 135 134319 657 642

49.3 29.6 28.21.9 –0.2 0.42.6 14.9 11.2

920

83

0.7

.. 3.8 3.2774 1,380 3575.7 12.4 66.2

764 1,972 23138.3 80.3 28.961.7 16.4 48.9

.. 0.8 0.33.6 4.0 0.3

–65.4 148.9 –36.268 61 6017 97 19

2,824 4,582 5,606

13.5 10.2 5.655 74 93

100 88 64100 81 56100 96 85

.. 59 35

.. 54 32

.. 64 44

12.0..

55 26 118

.. 46.5 ..

.. 10.3 7.2

.. 2.1 3.2

.. 3.3 1.2

.. 0.3 1.3

.. 0.0 1.4

.. 1.0 0.3

.. 0.7 0.3

.. 33.1 ..

Population (millions) 24 Land area (1,000 sq. km) 120 GDP ($ billions) ..

Korea, Dem. Rep.







Country data

High-income group


19,830 37,99014,879 31,467

81.7 77.31.2 1.0

19 3717,728 25,774

101 106580 331

64.2 28.90.1 –0.12.4 13.4

930173

1.7

5.5 6.64,669 5,131

1.3 3.98,853 9,518

65.0 62.90.7 11.3

0.4 0.410.4 12.5

108.2 17.931 24

559 964

1,338 9,031

39.3 10.562 4298 10088 98

100 100100 99100 98100 100

..

..5 7

30.1 16.113.3 14.1

3.9 4.60.0 0.90.0 0.10.0 0.00.5 0.20.3 0.1

20.0 5.2

Korea, Rep.







Country data

Europe & Central

Asia group



3,240 6,793 2,321.. 4,892 2,028.. 64.0 40.9.. 0.2 3.0

52 28 50.. 3,011 588.. 126 131.. 148 591

.. 38.6 25.9

.. 0.0 0.0

.. 7.4 11.5

..

..

..

..

..

.. 3.6 4.0

.. 3,030 1,019

.. 1.7 16.9

.. 4,052 1,318

.. 67.5 78.2

.. 16.4 16.8

.. 0.7 0.7

.. 7.2 2.8

.. –31.3 117.7

.. 24 63

.. 228 78

.. 12,913 2,936

.. 7.0 17.9

.. 63 81

.. 95 86

.. 89 81

.. 98 94

.. 89 50

.. 80 41

.. 94 63

..

..

.. 21 57

.. 19.8 39.9

.. 11.7 9.9

.. 3.6 2.4

.. 8.7 4.0

.. 0.4 0.4

.. 0.0 0.2

.. 0.9 1.0

.. 0.2 0.7

.. 1.4 26.2

Kosovo







KuwaitPopulation (millions) 2.8 Land area (1,000 sq. km) 17.8 GDP ($ billions) 148.0

Country data

High-income group

.. 37,99033,479 31,467

98.4 77.31.5 1.0

8 3714,486 25,774

114 106392 331

0.3 28.9–2.3 –0.11.6 13.4

69

110

0.1

4.8 6.69,637 5,131

0.0 3.916,747 9,518100.0 62.9

0.0 11.3

0.7 0.432.3 12.5

111.4 17.995 24

1,343 964

0 9,031

.. 10.554 4299 10099 9899 100

100 99100 98100 100

9.910.2

10 7

.. 16.1

.. 14.13.2 4.6

.. 0.9

.. 0.10.0 0.0

.. 0.20.3 0.1

.. 5.2








Country data

Europe & Central

Asia group

Low-income group

870 6,793 509755 4,892 453

36.4 64.0 28.70.8 0.2 3.7

56 28 371,041 3,011 280

103 126 134263 148 642

5.0 38.6 28.2–0.4 0.0 0.46.9 7.4 11.2

612

3141.1

3.8 3.6 3.2542 3,030 3570.1 1.7 66.2

1,449 4,052 2319.6 67.5 28.9

90.4 16.4 48.9

0.6 0.7 0.31.2 7.2 0.3

.. –31.3 –36.226 24 6094 228 19

9,351 12,913 5,606

20.6 7.0 5.694 63 9390 95 6485 89 5699 98 8593 89 3593 80 3294 94 44

4.017.6

37 21 118

14.4 19.8 ..8.4 11.7 7.25.2 3.6 3.20.5 8.7 1.20.0 0.4 1.30.0 0.0 1.41.1 0.9 0.30.2 0.2 0.39.4 1.4 ..

Kyrgyz Republic







Lao PDR

880 3,163 509840 2,807 45332.0 45.0 28.76.0 3.4 3.7

10 48 37516 550 280148 135 134343 657 642

68.2 29.6 28.20.3 –0.2 0.4

16.3 14.9 11.2452223225.0

.. 3.8 3.2

.. 1,380 357

.. 12.4 66.2

.. 1,972 231

.. 80.3 28.9

.. 16.4 48.9

0.1 0.8 0.30.3 4.0 0.3

554.7 148.9 –36.239 61 60

.. 97 19

31,252 4,582 5,606

1.6 10.2 5.690 74 9357 88 6451 81 5672 96 8553 59 3538 54 3286 64 44

1.06.259 26 118

.. 46.5 ..8.4 10.3 7.21.1 2.1 3.20.0 3.3 1.20.0 0.3 1.30.0 0.0 1.40.2 1.0 0.30.4 0.7 0.3

.. 33.1 ..

Country data

East Asia & Pacific

group

Low-income group








12,390 37,99011,002 31,467

68.2 77.3–1.0 1.0

29 373,482 25,774

138 10662 331

53.9 28.9–0.2 –0.117.8 13.4

1350

0.0

7.9 6.61,979 5,13124.8 3.9

3,087 9,51839.1 62.958.9 11.3

0.2 0.43.4 12.5

.. 17.913 24

481 964

7,355 9,031

2.4 10.510 4299 10096 98

100 10078 9971 9882 100

..

..8 7

26.6 16.111.3 14.15.6 4.60.0 0.90.0 0.10.3 0.00.2 0.20.0 0.1

20.4 5.2

Country data

High-income group


Latvia







Lebanon

8,060 3,597 7,5027,440 2,859 5,773

87.1 57.6 74.92.1 2.6 1.6

67 23 3037,171 2,896 3,671

111 132 129380 818 153

13.4 2.4 37.2–0.1 –0.1 0.10.5 4.0 13.0107

211

0.2

8.8 4.7 5.21,250 1,329 2,177

2.7 1.1 6.82,267 1,494 3,00196.5 94.1 64.7

3.5 4.4 26.4

0.3 0.6 0.53.2 3.7 5.3

46.8 103.4 3.836 71 31

360 259 320

1,153 709 18,143

29.9 122.3 3.260 86 65

100 87 95100 80 86100 95 98

98 84 8487 76 67

100 92 90

4.019.3

12 33 22

12.9 .. 19.911.2 10.4 11.8

1.6 4.3 4.10.0 14.5 6.40.0 0.3 1.00.0 0.0 0.00.4 0.9 0.60.2 0.6 0.22.7 .. 3.9

Country data

Middle East &

N. Africa group









980 1,125 2,321862 861 2,02826.2 36.9 40.9

4.6 4.0 3.0

78 45 50199 314 588

72 130 131430 356 591

1.4 28.0 25.9–0.3 0.3 0.00.5 11.7 11.5

2714

0.3

.. 3.2 4.0

.. 678 1,019

.. 57.7 16.9

.. 531 1,318

.. 66.2 78.2

.. 17.2 16.8

.. 0.4 0.7

.. 0.8 2.8

.. 46.1 117.746 49 63

.. 57 78

2,574 4,826 2,936

1.0 3.2 17.920 87 8185 60 8681 47 8197 82 9429 31 5025 24 4140 43 63

18.7..

84 130 57

22.9 15.5 39.96.4 10.6 9.99.4 3.6 2.40.0 7.5 4.00.0 1.2 0.41.4 0.6 0.20.0 0.6 1.00.1 0.3 0.7

24.4 –1.8 26.2


Country data



Lesotho







LiberiaCountry

data


Low-income group

160 1,125 509135 861 453

60.8 36.9 28.74.7 4.0 3.7

27 45 37572 314 280131 130 134378 356 642

44.9 28.0 28.20.4 0.3 0.4

18.1 11.7 11.219115247

2.6

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.5 0.4 0.30.2 0.8 0.3

39.4 46.1 –36.231 49 60

.. 57 19

55,138 4,826 5,606

0.1 3.2 5.634 87 9368 60 6451 47 5679 82 8517 31 354 24 32

25 43 44

39.0..

112 130 118

.. 15.5 ..8.2 10.6 7.23.1 3.6 3.20.0 7.5 1.20.7 1.2 1.3

10.4 0.6 1.41.0 0.6 0.30.3 0.3 0.3

.. –1.8 ..








12,020 3,597 7,5025,569 2,859 5,773

77.7 57.6 74.92.2 2.6 1.6

9 23 30.. 2,896 3,671

109 132 12981 818 153

0.1 2.4 37.20.0 –0.1 0.10.1 4.0 13.012

4212

1.6

5.2 4.7 5.22,895 1,329 2,177

0.9 1.1 6.83,909 1,494 3,001100.0 94.1 64.7

0.0 4.4 26.4

0.6 0.6 0.59.3 3.7 5.3

42.2 103.4 3.876 71 31

542 259 320

97 709 18,143

718.0 122.3 3.283 86 6554 87 9555 80 8654 95 9897 84 8496 76 6797 92 90

4.316.9

19 33 22

.. .. 19.911.9 10.4 11.8

.. 4.3 4.130.4 14.5 6.4

0.0 0.3 1.00.0 0.0 0.00.8 0.9 0.61.0 0.6 0.2

.. .. 3.9


Country data

Middle East &

N. Africa group


Libya







136,630 37,990.. 31,467

14.3 77.30.2 1.0

38 37.. 25,774

96 106795 331

43.8 28.90.0 –0.1

42.4 13.40000

0.0

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.4

.. 12.5

.. 17.917 24.. 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..2 7

.. 16.1

.. 14.12.3 4.60.0 0.90.0 0.1

.. 0.00.0 0.2

.. 0.1

.. 5.2


Country data

High-income group

Liechtenstein







11,410 6,793 7,5029,786 4,892 5,773

67.1 64.0 74.9–0.6 0.2 1.6

43 28 305,369 3,011 3,671

138 126 12960 148 153

34.5 38.6 37.2–0.4 0.0 0.14.5 7.4 13.0

3450

0.0

6.4 3.6 5.22,733 3,030 2,177

8.8 1.7 6.83,557 4,052 3,001

19.4 67.5 64.73.0 16.4 26.4

0.3 0.7 0.54.5 7.2 5.3

.. –31.3 3.817 24 31

486 228 320

4,610 12,913 18,143

17.7 7.0 3.21 63 65.. 95 95.. 89 86.. 98 98.. 89 84.. 80 67.. 94 90

..

..6 21 22

.. 19.8 19.912.0 11.7 11.8

4.4 3.6 4.10.1 8.7 6.40.0 0.4 1.00.1 0.0 0.00.3 0.9 0.60.1 0.2 0.2

.. 1.4 3.9

Country data

Europe & Central

Asia group



Lithuania







76,710 37,99058,456 31,467

82.3 77.31.5 1.0

50 3722,849 25,774

103 106138 331

33.6 28.90.0 –0.1

19.8 13.40010

0.0

8.7 6.68,429 5,131

2.5 3.915,895 9,518

88.2 62.94.8 11.3

0.3 0.422.6 12.5

9.4 17.913 24

4,402 964

2,083 9,031

.. 10.5

.. 42100 100100 98100 100100 99100 98100 100

..

..3 7

26.0 16.121.7 14.13.5 4.60.0 0.90.0 0.10.0 0.00.2 0.20.0 0.17.6 5.2

Country data

High-income group


Luxembourg







39,550 37,990.. 31,467

100.0 77.32.0 1.0

.. 37

.. 25,774

.. 106

.. 331

.. 28.9

.. –0.1

.. 13.40450..

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

0.06 0.373.0 12.5

50.4 17.9.. 24.. 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.12.2 4.60.0 0.90.0 0.1

.. 0.00.1 0.2

.. 0.1

.. 5.2

Country data

High-income group


Macao SAR, China







4,400 6,793 7,5023,916 4,892 5,773

67.4 64.0 74.91.2 0.2 1.6

42 28 305,165 3,011 3,671

115 126 129156 148 153

39.6 38.6 37.2–0.3 0.0 0.14.8 7.4 13.0

510140

0.2

5.8 3.6 5.21,520 3,030 2,177

5.6 1.7 6.83,723 4,052 3,00186.7 67.5 64.713.3 16.4 26.4

0.7 0.7 0.55.5 7.2 5.3

.. –31.3 3.820 24 31

194 228 320

2,647 12,913 18,143

.. 7.0 3.2

.. 63 65100 95 9599 89 86

100 98 9889 89 8482 80 6792 94 90

..

..11 21 22

18.8 19.8 19.910.9 11.7 11.84.9 3.6 4.10.0 8.7 6.40.0 0.4 1.00.1 0.0 0.01.0 0.9 0.60.1 0.2 0.2

11.6 1.4 3.9


Country data

Europe & Central

Asia group


Macedonia, FYR







430 1,125 509457 861 453

29.9 36.9 28.74.2 4.0 3.7

70 45 37183 314 280114 130 134457 356 642

21.6 28.0 28.20.3 0.3 0.42.9 11.7 11.2633583

28029.2

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.1 0.4 0.30.1 0.8 0.3

128.3 46.1 –36.233 49 60

.. 57 19

18,114 4,826 5,606

4.4 3.2 5.697 87 9341 60 6429 47 5671 82 8511 31 3510 24 3215 43 44

9.012.8

58 130 118

.. 15.5 ..

.. 10.6 7.22.6 3.6 3.20.0 7.5 1.20.0 1.2 1.30.2 0.6 1.40.2 0.6 0.30.1 0.3 0.3

.. –1.8 ..


Country data


Low-income group

Madagascar







290 1,125 509265 861 45319.3 36.9 28.75.2 4.0 3.7

58 45 37145 314 280129 130 134344 356 642

34.4 28.0 28.20.6 0.3 0.4

15.0 11.7 11.27

14101

143.5

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.1 0.4 0.30.07 0.85 0.2872.5 46.1 –36.2

35 49 60.. 57 19

1,118 4,826 5,606

6.0 3.2 5.684 87 9380 60 6477 47 5695 82 8556 31 3557 24 3251 43 44

27.017.6110 130 118

.. 15.5 ..7.4 10.6 7.23.5 3.6 3.20.0 7.5 1.20.0 1.2 1.30.9 0.6 1.40.2 0.6 0.30.1 0.3 0.3

.. –1.8 ..

Country data


Low-income group


Malawi







7,350 3,163 7,5025,422 2,807 5,773

71.3 45.0 74.94.1 3.4 1.6

24 48 306,399 550 3,671

144 135 129445 657 153

62.3 29.6 37.20.3 –0.2 0.1

17.9 14.9 13.0704560

69213.9

4.9 3.8 5.22,693 1,380 2,177

4.1 12.4 6.83,490 1,972 3,001

92.3 80.3 64.77.7 16.4 26.4

0.6 0.8 0.57.3 4.0 5.3

243.6 148.9 3.820 61 31

523 97 320

21,841 4,582 18,143

2.1 10.2 3.245 74 65

100 88 9599 81 86

100 96 9896 59 8495 54 6796 64 90

..

..6 26 22

31.7 46.5 19.911.6 10.3 11.84.0 2.1 4.17.9 3.3 6.40.0 0.3 1.00.0 0.0 0.00.8 1.0 0.60.0 0.7 0.2

15.4 33.1 3.9

Country data

East Asia & Pacific

group



Malaysia







3,970 1,107 2,3214,055 952 2,028

39.2 29.8 40.94.1 2.7 3.0

30 55 502,708 494 588

96 123 1314,739 633 591

3.3 17.1 25.90.0 –0.1 0.0

.. 6.1 11.520

150

1.4

.. 5.2 4.0

.. 495 1,019

.. 28.5 16.9

.. 503 1,318

.. 80.5 78.2

.. 15.4 16.8

0.6 0.5 0.73.0 1.2 2.8

483.3 134.1 117.729 72 63

.. 36 78

100 1,195 2,936

.. 51.7 17.9

.. 90 8191 87 8686 83 8199 95 9498 36 5096 27 41

100 57 63

22.07.913 71 57

.. 32.3 39.911.2 8.4 9.96.5 2.9 2.40.0 2.1 4.00.0 0.9 0.40.0 0.9 0.20.5 0.9 1.00.1 0.5 0.7

.. 21.6 26.2

Country data

South Asia

group



Maldives







680 1,125 509638 861 45332.7 36.9 28.73.9 4.0 3.7

32 45 37523 314 280183 130 134178 356 642

10.2 28.0 28.20.4 0.3 0.42.4 11.7 11.212

736

1.5

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.05 0.45 0.280.05 0.85 0.2837.4 46.1 –36.2112 49 60

.. 57 19

4,835 4,826 5,606

10.9 3.2 5.690 87 9356 60 6444 47 5681 82 8536 31 3532 24 3245 43 44

10.018.6191 130 118

.. 15.5 ..7.7 10.6 7.23.3 3.6 3.20.0 7.5 1.20.0 1.2 1.30.0 0.6 1.40.1 0.6 0.31.1 0.3 0.3

.. –1.8 ..


Country data


Low-income group

Mali







18,360 37,990.. 31,467

94.5 77.31.0 1.0

31 3736,900 25,774

86 106278 331

.. 28.9

.. –0.117.2 13.4

33

143

0.0

11.4 6.61,988 5,131

0.0 3.94,806 9,518100.0 62.9

0.0 11.3

0.3 0.46.7 12.5

25.1 17.9.. 24

432 964

123 9,031

53.5 10.522 42

100 100100 98100 100100 99100 98100 100

..

..7 7

.. 16.1

.. 14.16.2 4.60.0 0.90.0 0.1

.. 0.00.3 0.2

.. 0.1

.. 5.2

Country data

High-income group


Malta







3,060 3,163 2,321.. 2,807 2,028

71.4 45.0 40.92.0 3.4 3.0

72 48 50.. 550 588

303 135 131863 657 591

72.2 29.6 25.90.0 –0.2 0.03.1 14.9 11.5

2490

1.3

.. 3.8 4.0

.. 1,380 1,019

.. 12.4 16.9

.. 1,972 1,318

.. 80.3 78.2

.. 16.4 16.8

.. 0.8 0.71.7 4.0 2.8

107.7 148.9 117.7.. 61 63.. 97 78

.. 4,582 2,936

.. 10.2 17.9

.. 74 8194 88 8699 81 8192 96 9473 59 5053 54 4183 64 63

..

..35 26 57

.. 46.5 39.98.1 10.3 9.96.9 2.1 2.40.0 3.3 4.00.0 0.3 0.4

.. 0.0 0.20.4 1.0 1.0

.. 0.7 0.7

.. 33.1 26.2

Country data

East Asia & Pacific

group



Marshall Islands







990 1,125 509677 861 45341.2 36.9 28.72.8 4.0 3.7

38 45 37411 314 280116 130 134474 356 642

0.2 28.0 28.21.8 0.3 0.40.5 11.7 11.2159

300

1.3

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.3 0.4 0.30.6 0.8 0.3

–26.8 46.1 –36.268 49 60

.. 57 19

127 4,826 5,606

399.8 3.2 5.694 87 9349 60 6447 47 5652 82 8526 31 35

9 24 3250 43 44

10.018.3117 130 118

.. 15.5 ..8.1 10.6 7.23.1 3.6 3.20.0 7.5 1.2

18.3 1.2 1.30.5 0.6 1.40.5 0.6 0.30.4 0.3 0.3

.. –1.8 ..


Country data


Low-income group

Mauritania







7,250 1,125 7,5026,201 861 5,773

42.5 36.9 74.90.8 4.0 1.6

48 45 304,923 314 3,671

106 130 129839 356 153

17.2 28.0 37.20.4 0.3 0.14.5 11.7 13.0

61112883.3

.. 3.2 5.2

.. 678 2,177

.. 57.7 6.8

.. 531 3,001

.. 66.2 64.7

.. 17.2 26.4

0.3 0.4 0.53.1 0.8 5.3

165.7 46.1 3.818 49 31

.. 57 320

2,182 4,826 18,143

26.4 3.2 3.268 87 6599 60 9599 47 86

100 82 9891 31 8490 24 6793 43 90

..

..17 130 22

16.2 15.5 19.910.9 10.6 11.8

3.1 3.6 4.10.0 7.5 6.40.0 1.2 1.00.0 0.6 0.00.3 0.6 0.60.0 0.3 0.28.0 –1.8 3.9


Country data



Mauritius







.. 1,125 7,502

.. 861 5,773

.. 36.9 74.9

.. 4.0 1.6

54 45 30.. 314 3,671.. 130 129.. 356 153

37.8 28.0 37.20.8 0.3 0.12.2 11.7 13.0

1330

0.3

.. 3.2 5.2

.. 678 2,177

.. 57.7 6.8

.. 531 3,001

.. 66.2 64.7

.. 17.2 26.4

.. 0.4 0.5

.. 0.8 5.3

.. 46.1 3.8

.. 49 31

.. 57 320

.. 4,826 18,143

.. 3.2 3.2

.. 87 65

.. 60 95

.. 47 86

.. 82 98

.. 31 84

.. 24 67

.. 43 90

..

..

.. 130 22

.. 15.5 19.9

.. 10.6 11.8

.. 3.6 4.1

.. 7.5 6.4

.. 1.2 1.0

.. 0.6 0.0

.. 0.6 0.6

.. 0.3 0.2

.. –1.8 3.9


Country data



Mayotte







8,960 7,007 7,5026,637 5,725 5,773

77.5 79.0 74.91.8 2.0 1.6

53 35 303,255 3,542 3,671

117 131 12998 245 153

33.3 47.0 37.20.3 0.3 0.1

11.1 20.8 13.09955

15025568.7

7.9 7.7 5.21,698 1,290 2,177

4.6 16.8 6.82,020 1,907 3,001

77.9 38.7 64.715.1 55.3 26.4

0.3 0.3 0.54.5 2.7 5.3

31.9 51.2 3.833 32 31

472 302 320

3,885 24,000 18,143

19.3 2.0 3.277 71 6594 93 9587 80 8696 97 9885 79 8468 54 6790 86 90

..9.717 23 22

22.1 19.5 19.911.7 11.7 11.84.8 4.4 4.15.1 3.5 6.40.3 1.3 1.00.0 0.0 0.00.4 0.3 0.60.2 0.3 0.29.1 6.8 3.9

Country data


group



Mexico







2,500 3,163 2,321.. 2,807 2,028

22.6 45.0 40.90.0 3.4 3.0

32 48 50.. 550 588

103 135 1313,421 657 591

91.4 29.6 25.90.0 –0.2 0.04.0 14.9 11.5

710145

2.6

.. 3.8 4.0

.. 1,380 1,019

.. 12.4 16.9

.. 1,972 1,318

.. 80.3 78.2

.. 16.4 16.8

0.2 0.8 0.70.6 4.0 2.8

.. 148.9 117.7

.. 61 63

.. 97 78

.. 4,582 2,936

.. 10.2 17.9

.. 74 8194 88 8694 81 8195 96 9427 59 5015 54 4161 64 63

..

..39 26 57

.. 46.5 39.99.2 10.3 9.9

.. 2.1 2.40.0 3.3 4.00.0 0.3 0.4

.. 0.0 0.20.1 1.0 1.0

.. 0.7 0.7

.. 33.1 26.2


Country data

East Asia & Pacific

group


Micronesia, Fed. Sts.







1,560 6,793 2,3211,447 4,892 2,028

41.5 64.0 40.9–1.6 0.2 3.0

76 28 501,627 3,011 588

105 126 131116 148 591

11.7 38.6 25.9–0.6 0.0 0.01.4 7.4 11.5

4990

0.0

3.1 3.6 4.0867 3,030 1,0192.5 1.7 16.9

1,287 4,052 1,31896.0 67.5 78.2

2.3 16.4 16.8

0.5 0.7 0.71.3 7.2 2.8

.. –31.3 117.736 24 6385 228 78

273 12,913 2,936

191.5 7.0 17.940 63 8190 95 8685 89 8196 98 9479 89 5074 80 4185 94 63

7.07.417 21 57

17.8 19.8 39.98.5 11.7 9.98.4 3.6 2.40.1 8.7 4.00.0 0.4 0.40.1 0.0 0.20.7 0.9 1.00.6 0.2 0.7

16.2 1.4 26.2

Country data

Europe & Central

Asia group



Moldova







197,590 37,990.. 31,467

100.0 77.30.6 1.0

.. 37

.. 25,774

.. 106

.. 331

0.0 28.9.. –0.1

23.7 13.42090

0.0

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.4

.. 12.5

.. 17.9

.. 24

.. 964

.. 9,031

.. 10.5

.. 42100 100

.. 98100 100100 99

.. 98100 100

..

..4 7

.. 16.1

.. 14.11.1 4.60.0 0.90.0 0.1

.. 0.00.0 0.2

.. 0.1

.. 5.2

Country data

High-income group


Monaco







1,630 3,163 2,3211,178 2,807 2,02857.3 45.0 40.91.0 3.4 3.0

75 48 501,821 550 588

110 135 131133 657 591

7.0 29.6 25.90.5 –0.2 0.0

13.4 14.9 11.5112110

4.2

2.8 3.8 4.01,193 1,380 1,019

3.3 12.4 16.91,473 1,972 1,318100.0 80.3 78.2

0.0 16.4 16.8

1.3 0.8 0.74.0 4.0 2.85.4 148.9 117.7111 61 63157 97 78

13,326 4,582 2,936

1.4 10.2 17.946 74 8176 88 8649 81 8197 96 9450 59 5032 54 4164 64 63

2.08.029 26 57

44.7 46.5 39.99.5 10.3 9.94.6 2.1 2.43.8 3.3 4.07.3 0.3 0.40.0 0.0 0.22.1 1.0 1.01.6 0.7 0.7

24.9 33.1 26.2


Country data

East Asia & Pacific

group


Mongolia







6,650 6,793 7,502.. 4,892 5,773

59.8 64.0 74.91.5 0.2 1.6

38 28 302,502 3,011 3,671

.. 126 129143 148 153

40.4 38.6 37.20.0 0.0 0.1

13.3 7.4 13.06

11240

0.0

.. 3.6 5.2

.. 3,030 2,177

.. 1.7 6.8

.. 4,052 3,001

.. 67.5 64.7

.. 16.4 26.4

.. 0.7 0.5

.. 7.2 5.3

.. –31.3 3.8

.. 24 31

.. 228 320

.. 12,913 18,143

.. 7.0 3.2

.. 63 6598 95 9596 89 86

100 98 9892 89 8486 80 6796 94 90

..

..9 21 22

.. 19.8 19.9

.. 11.7 11.8

.. 3.6 4.1

.. 8.7 6.4

.. 0.4 1.0

.. 0.0 0.0

.. 0.9 0.6

.. 0.2 0.2

.. 1.4 3.9

Country data

Europe & Central

Asia group



Montenegro







2,770 3,597 2,3212,475 2,859 2,02856.4 57.6 40.9

2.1 2.6 3.0

67 23 502,523 2,896 588

140 132 131173 818 591

11.5 2.4 25.9–0.1 –0.1 0.01.5 4.0 11.518104531

3.5

8.4 4.7 4.0474 1,329 1,0193.2 1.1 16.9

736 1,494 1,31894.1 94.1 78.24.5 4.4 16.8

0.4 0.6 0.71.5 3.7 2.8

97.1 103.4 117.727 71 63

112 259 78

929 709 2,936

43.4 122.3 17.987 86 8181 87 8660 80 8198 95 9469 84 5052 76 4183 92 63

12.010.4

38 33 57

31.8 .. 39.910.1 10.4 9.95.2 4.3 2.40.0 14.5 4.01.4 0.3 0.40.0 0.0 0.20.4 0.9 1.00.1 0.6 0.7

25.0 .. 26.2

Country data

Middle East &

N. Africa group



Morocco







440 1,125 509378 861 45337.6 36.9 28.75.8 4.0 3.7

62 45 37202 314 280102 130 134314 356 642

49.6 28.0 28.20.4 0.3 0.4

15.8 11.7 11.2122352527.2

1.9 3.2 3.2416 678 357

81.9 57.7 66.2461 531 2310.1 66.2 28.9

99.9 17.2 48.9

0.2 0.4 0.30.1 0.8 0.3

159.7 46.1 –36.226 49 6018 57 19

4,586 4,826 5,606

0.7 3.2 5.674 87 9347 60 6429 47 5677 82 8517 31 354 24 32

38 43 44

10.020.7142 130 118

9.2 15.5 ..7.1 10.6 7.24.0 3.6 3.23.2 7.5 1.20.0 1.2 1.30.5 0.6 1.40.2 0.6 0.30.1 0.3 0.32.0 –1.8 ..


Country data


Low-income group

Mozambique







.. 3,163 509

.. 2,807 45333.2 45.0 28.7

2.6 3.4 3.7

18 48 37.. 550 280

162 135 134315 657 642

48.6 29.6 28.20.7 –0.2 0.46.3 14.9 11.245413342

10.0

.. 3.8 3.2316 1,380 357

66.8 12.4 66.297 1,972 231

39.2 80.3 28.960.8 16.4 48.9

.. 0.8 0.30.3 4.0 0.3

208.5 148.9 –36.246 61 6022 97 19

20,415 4,582 5,606

3.3 10.2 5.689 74 9371 88 6469 81 5675 96 8581 59 3579 54 3286 64 44

2.0..

71 26 118

.. 46.5 ..

.. 10.3 7.20.8 2.1 3.2

.. 3.3 1.2

.. 0.3 1.3

.. 0.0 1.4

.. 1.0 0.30.4 0.7 0.3

.. 33.1 ..

Country data

East Asia & Pacific

group

Low-income group

Population (millions) 50 Land area (1,000 sq. km) 654 GDP ($ billions) ..

Myanmar







4,270 1,125 7,5023,763 861 5,773

37.4 36.9 74.93.8 4.0 1.6

47 45 301,704 314 3,671

101 130 129168 356 153

8.9 28.0 37.20.6 0.3 0.1

14.5 11.7 13.012242526

5.2

7.3 3.2 5.2823 678 2,17711.2 57.7 6.8

1,797 531 3,00132.5 66.2 64.767.5 17.2 26.4

0.2 0.4 0.51.5 0.8 5.3

41,300 46.1 3.848 49 31

274 57 320

2,949 4,826 18,143

4.9 3.2 3.271 87 6592 60 9588 47 8699 82 9833 31 8417 24 6760 43 90

18.020.6

48 130 22

26.8 15.5 19.910.6 10.6 11.86.4 3.6 4.10.0 7.5 6.40.3 1.2 1.00.0 0.6 0.00.2 0.6 0.60.0 0.3 0.2

21.9 –1.8 3.9

Country data




Namibia







440 1,107 509394 952 45317.7 29.8 28.75.9 2.7 3.7

29 55 37240 494 280130 123 134

1,012 633 642

25.4 17.1 28.20.9 –0.1 0.4

17.0 6.1 11.23133

87

2.1

3.0 5.2 3.2340 495 35786.4 28.5 66.2

89 503 2310.4 80.5 28.9

99.6 15.4 48.9

0.1 0.5 0.30.1 1.2 0.3

439.9 134.1 –36.232 72 6011 36 19

7,007 1,195 5,606

5.1 51.7 5.698 90 9388 87 6487 83 5693 95 8531 36 3527 27 3251 57 44

23.027.5

48 71 118

36.8 32.3 ..6.8 8.4 7.23.5 2.9 3.20.0 2.1 1.20.0 0.9 1.34.2 0.9 1.40.2 0.9 0.30.0 0.5 0.3

29.1 21.6 ..

Country data

South Asia

group

Low-income group


Nepal







48,460 37,99039,606 31,467

82.4 77.31.5 1.0

57 3743,572 25,774

94 106280 331

10.8 28.9–0.2 –0.112.4 13.4

42

120

0.2

7.9 6.64,845 5,131

3.9 3.97,226 9,51885.7 62.9

0.1 11.3

0.3 0.410.6 12.55.6 17.931 24

708 964

671 9,031

105.1 10.523 42

100 100100 98100 100100 99100 98100 100

..

..4 7

22.7 16.114.6 14.1

4.7 4.60.8 0.90.0 0.10.0 0.00.2 0.20.2 0.1

11.6 5.2

Country data

High-income group


Netherlands







.. 37,990

.. 31,46792.9 77.3

0.6 1.0

10 37.. 25,774

121 106179 331

1.3 28.90.0 –0.1

15.1 13.431

153

0.2

.. 6.611,078 5,131

0.0 3.95,342 9,518100.0 62.9

0.0 11.3

.. 0.432.4 12.5

0.4 17.923 24

2,084 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2


Country data

High-income group

Netherlands Antilles







.. 37,990

.. 31,46765.1 77.3

2.6 1.0

14 37.. 25,774

103 1061,086 331

45.9 28.90.0 –0.15.5 13.4

91524

2578.5

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.411.7 12.575.4 17.9

64 24.. 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Population (thousands) 250 Land area (1,000 sq. km) 18 GDP ($ billions) ..

Country data

High-income group

New Caledonia








Country data

High-income group

28,810 37,99023,927 31,467

86.7 77.31.3 1.0

43 3725,446 25,774

115 106127 331

31.4 28.9–0.2 –0.125.8 13.4

9702121

20.2

6.3 6.63,967 5,131

6.1 3.99,492 9,518

35.6 62.951.0 11.3

0.3 0.47.7 12.5

36.5 17.912 24

1,004 964

77,336 9,031

0.6 10.542 42

100 100100 98100 100

.. 99

.. 98

.. 100

..

..6 7

16.6 16.114.1 14.16.6 4.60.6 0.90.3 0.10.0 0.00.2 0.20.0 0.18.0 5.2

New Zealand







1,000 7,007 2,321930 5,725 2,02857.0 79.0 40.92.2 2.0 3.0

43 35 502,461 3,542 588

135 131 131129 245 591

25.9 47.0 25.91.2 0.3 0.0

36.7 20.8 11.56

1126433.3

4.1 7.7 4.0621 1,290 1,019

52.3 16.8 16.9457 1,907 1,318

64.5 38.7 78.215.9 55.3 16.8

0.3 0.3 0.70.8 2.7 2.8

73.6 51.2 117.723 32 6379 302 78

33,905 24,000 2,936

0.7 2.0 17.984 71 8185 93 8668 80 8198 97 9452 79 5037 54 4163 86 63

31.014.0

26 23 57

10.6 19.5 39.98.8 11.7 9.93.0 4.4 2.40.0 3.5 4.00.7 1.3 0.40.1 0.0 0.20.6 0.3 1.00.0 0.3 0.73.4 6.8 26.2

Country data


group



Nicaragua







340 1,125 509327 861 45316.6 36.9 28.73.9 4.0 3.7

34 45 37243 314 280186 130 13485 356 642

1.0 28.0 28.21.6 0.3 0.46.8 11.7 11.212

642

0.9

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.1 0.4 0.30.06 0.85 0.28–4.6 46.1 –36.2

96 49 60.. 57 19

248 4,826 5,606

67.5 3.2 5.688 87 9348 60 6439 47 5696 82 85

9 31 354 24 32

34 43 44

12.040.0160 130 118

.. 15.5 ..2.9 10.6 7.23.6 3.6 3.20.0 7.5 1.20.0 1.2 1.31.2 0.6 1.40.1 0.6 0.31.1 0.3 0.3

.. –1.8 ..

Country data


Low-income group


Niger







1,190 1,125 2,321755 861 2,02849.1 36.9 40.94.2 4.0 3.0

86 45 50.. 314 588

135 130 131208 356 591

9.9 28.0 25.92.1 0.3 0.0

12.8 11.7 11.5271356

1726.0

2.6 3.2 4.0735 678 1,01981.2 57.7 16.9126 531 1,318

72.9 66.2 78.227.1 17.2 16.8

0.3 0.4 0.70.6 0.8 2.8

110.0 46.1 117.746 49 6358 57 78

1,496 4,826 2,936

4.7 3.2 17.953 87 8158 60 8642 47 8175 82 9432 31 5028 24 4136 43 63

10.015.3138 130 57

.. 15.5 39.99.0 10.6 9.90.9 3.6 2.4

14.7 7.5 4.00.0 1.2 0.40.3 0.6 0.20.5 0.6 1.00.5 0.3 0.7

.. –1.8 26.2

Country data




Nigeria







.. 37,990

.. 31,46791.2 77.3

3.7 1.0

7 37.. 25,774.. 106

760 331

65.2 28.90.4 –0.11.1 13.4

51585

2.2

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.4

.. 12.5

.. 17.9

.. 24

.. 964

.. 9,031

.. 10.5

.. 4298 10097 9898 10094 9996 9894 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2


Country data

High-income group

Northern Mariana Islands







84,640 37,99057,830 31,467

77.5 77.31.1 1.0

3 3741,932 25,774

95 106127 331

32.9 28.9–0.3 –0.114.4 13.4

72

182

1.3

7.9 6.66,222 5,131

4.6 3.924,867 9,518

0.4 62.998.5 11.3

0.2 0.49.1 12.5

36.5 17.916 24

733 964

81,119 9,031

.. 10.513 42

100 100100 98100 100100 99100 98100 100

..

..3 7

32.6 16.115.2 14.16.2 4.6

10.6 0.90.0 0.10.0 0.00.1 0.20.0 0.1

12.8 5.2

Country data

High-income group


Norway







17,890 37,99010,154 31,467

71.7 77.32.7 1.0

6 371,380 25,774

102 1061,437 331

0.0 28.90.0 –0.1

10.7 13.49

10246

3.7

4.0 6.65,903 5,131

0.0 3.94,894 9,518100.0 62.9

0.0 11.3

0.6 0.413.7 12.5

260.5 17.994 24

665 964

514 9,031

94.7 10.588 4288 10077 9892 10087 9961 9897 100

6.26.712 7

.. 16.1

.. 14.13.7 4.6

.. 0.9

.. 0.10.0 0.0

.. 0.20.0 0.1

.. 5.2

Country data

High-income group


Oman







1,000 1,107 2,321871 952 2,028

36.6 29.8 40.93.3 2.7 3.0

34 55 50892 494 588132 123 131521 633 591

2.2 17.1 25.91.3 –0.1 0.0

10.3 6.1 11.5232633

24.9

4.7 5.2 4.0499 495 1,019

34.8 28.5 16.9436 503 1,31867.9 80.5 78.230.3 15.4 16.8

0.4 0.5 0.71.0 1.2 2.8

128.1 134.1 117.7109 72 6363 36 78

338 1,195 2,936

313.8 51.7 17.994 90 8190 87 8687 83 8195 95 9445 36 5029 27 4172 57 63

24.026.0

87 71 57

21.5 32.3 39.98.0 8.4 9.91.9 2.9 2.42.2 2.1 4.00.0 0.9 0.41.0 0.9 0.20.7 0.9 1.00.8 0.5 0.7

10.7 21.6 26.2

Country data

South Asia

group



Pakistan







6,220 3,163 7,502.. 2,807 5,773

81.6 45.0 74.92.4 3.4 1.6

11 48 302,323 550 3,671

.. 135 129396 657 153

87.0 29.6 37.2–0.2 –0.2 0.12.0 14.9 13.0

44

124

1.2

.. 3.8 5.2

.. 1,380 2,177

.. 12.4 6.8

.. 1,972 3,001

.. 80.3 64.7

.. 16.4 26.4

.. 0.8 0.510.5 4.0 5.3

.. 148.9 3.8

.. 61 31

.. 97 320

.. 4,582 18,143

.. 10.2 3.2

.. 74 6584 88 9594 81 8680 96 9883 59 8452 54 6796 64 90

..

..15 26 22

.. 46.5 19.915.0 10.3 11.8

.. 2.1 4.10.0 3.3 6.40.0 0.3 1.0

.. 0.0 0.01.2 1.0 0.6

.. 0.7 0.2

.. 33.1 3.9

Country data

East Asia & Pacific

group



Palau







6,570 7,007 7,5025,866 5,725 5,773

74.0 79.0 74.93.6 2.0 1.6

30 35 304,458 3,542 3,671

116 131 129166 245 153

43.7 47.0 37.20.5 0.3 0.1

18.7 20.8 13.0151736

20210.9

13.8 7.7 5.2853 1,290 2,17712.3 16.8 6.8

1,646 1,907 3,00137.9 38.7 64.761.8 55.3 26.4

0.2 0.3 0.52.2 2.7 5.3

131.2 51.2 3.834 32 31

148 302 320

44,088 24,000 18,143

0.3 2.0 3.251 71 6593 93 9583 80 8697 97 9869 79 8451 54 6775 86 90

..12.6

23 23 22

37.4 19.5 19.912.1 11.7 11.83.5 4.4 4.10.0 3.5 6.40.0 1.3 1.00.0 0.0 0.00.3 0.3 0.60.1 0.3 0.2

28.4 6.8 3.9

Country data


group



Panama







1,180 3,163 2,321831 2,807 2,02812.5 45.0 40.9

1.6 3.4 3.0

2 48 50663 550 588119 135 131

2,130 657 591

63.4 29.6 25.90.3 –0.2 0.03.1 14.9 11.5393741

14325.4

.. 3.8 4.0

.. 1,380 1,019

.. 12.4 16.9

.. 1,972 1,318

.. 80.3 78.2

.. 16.4 16.8

0.3 0.8 0.70.5 4.0 2.8

57.2 148.9 117.718 61 63

.. 97 78

124,716 4,582 2,936

0.0 10.2 17.90 74 81

40 88 8633 81 8187 96 9445 59 5041 54 4171 64 63

13.016.5

68 26 57

19.7 46.5 39.98.6 10.3 9.9

.. 2.1 2.40.0 3.3 4.0

19.9 0.3 0.40.0 0.0 0.20.5 1.0 1.00.0 0.7 0.7

.. 33.1 26.2

Country data

East Asia & Pacific

group



Papua New Guinea







2,250 7,007 2,3211,983 5,725 2,028

60.9 79.0 40.93.3 2.0 3.0

51 35 502,497 3,542 588

136 131 13159 245 591

44.3 47.0 25.90.6 0.3 0.05.4 20.8 11.5

8270

102.8

6.2 7.7 4.0699 1,290 1,01953.7 16.8 16.9

1,002 1,907 1,3180.0 38.7 78.2

100.0 55.3 16.8

0.2 0.3 0.70.7 2.7 2.8

82.7 51.2 117.767 32 63

181 302 78

15,343 24,000 2,936

0.5 2.0 17.971 71 8186 93 8666 80 8199 97 9470 79 5040 54 4190 86 63

17.016.1

23 23 57

12.3 19.5 39.99.7 11.7 9.93.6 4.4 2.40.0 3.5 4.00.0 1.3 0.40.0 0.0 0.20.2 0.3 1.00.8 0.3 0.75.2 6.8 26.2

Country data


group



Paraguay







4,200 7,007 7,5023,482 5,725 5,773

71.5 79.0 74.91.7 2.0 1.6

17 35 301,530 3,542 3,671

153 131 129226 245 153

53.1 47.0 37.20.1 0.3 0.1

13.6 20.8 13.0549619

27433.4

15.4 7.7 5.2510 1,290 2,177

12.8 16.8 6.81,032 1,907 3,001

39.8 38.7 64.758.7 55.3 26.4

0.2 0.3 0.51.5 2.7 5.3

103.1 51.2 3.851 32 31

148 302 320

56,685 24,000 18,143

1.2 2.0 3.285 71 6582 93 9561 80 8690 97 9868 79 8436 54 6781 86 90

17.315.4

21 23 22

24.0 19.5 19.911.3 11.7 11.82.4 4.4 4.10.7 3.5 6.45.2 1.3 1.00.0 0.0 0.00.3 0.3 0.60.4 0.3 0.28.6 6.8 3.9

Country data


group



Peru







1,790 3,163 2,3211,829 2,807 2,028

65.7 45.0 40.93.6 3.4 3.0

40 48 501,211 550 588

131 135 131598 657 591

25.7 29.6 25.9–0.5 –0.2 0.010.9 14.9 11.5

397265

22232.3

7.1 3.8 4.0455 1,380 1,01918.6 12.4 16.9588 1,972 1,31866.1 80.3 78.216.2 16.4 16.8

0.3 0.8 0.70.8 4.0 2.8

59.2 148.9 117.719 61 6376 97 78

5,399 4,582 2,936

16.5 10.2 17.983 74 8191 88 8687 81 8193 96 9476 59 5069 54 4180 64 63

10.07.433 26 57

35.0 46.5 39.98.0 10.3 9.92.5 2.1 2.40.3 3.3 4.00.7 0.3 0.40.1 0.0 0.20.3 1.0 1.00.1 0.7 0.7

28.0 33.1 26.2


Country data

East Asia & Pacific

group


Philippines







12,260 37,9909,431 31,467

61.3 77.30.0 1.0

53 372,647 25,774

111 106117 331

30.7 28.9–0.2 –0.121.8 13.4

5664

0.5

6.4 6.62,567 5,131

6.0 3.93,732 9,518

95.7 62.91.4 11.3

0.5 0.48.3 12.5

–8.8 17.935 24

391 964

1,406 9,031

24.5 10.510 42

100 100100 98100 10090 9980 9896 100

..

..7 7

19.2 16.112.4 14.14.8 4.60.7 0.90.2 0.10.1 0.00.6 0.20.2 0.19.7 5.2

Country data

High-income group


Poland







21,910 37,99017,505 31,467

60.1 77.31.6 1.0

38 376,625 25,774

95 106410 331

37.8 28.9–0.1 –0.15.9 13.4119

4721

5.5

9.7 6.62,274 5,13113.0 3.9

4,822 9,51867.2 62.915.0 11.3

0.2 0.45.5 12.5

31.2 17.921 24

579 964

3,582 9,031

31.3 10.574 4299 100

100 9899 100

100 99100 98100 100

..

..4 7

10.4 16.117.2 14.15.3 4.60.0 0.90.1 0.10.0 0.00.2 0.20.0 0.1

–1.8 5.2

Country data

High-income group


Portugal







.. 37,990

.. 31,46798.6 77.3

2.3 1.0

21 37.. 25,774

94 106111 331

62.2 28.9–2.2 –0.110.1 13.4

38

15534.0

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.4

.. 12.5

.. 17.921 24

.. 964

1,801 9,031

14.0 10.57 42.. 100.. 98.. 100.. 99.. 98.. 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Population (millions) 4.0 Land area (1,000 sq. km) 8.9 GDP ($ billions) ..

Country data

High-income group

Puerto Rico







.. 37,990

.. 31,46795.7 77.36.0 1.0

6 37.. 25,774

77 106430 331

0.0 28.90.0 –0.10.7 13.4

25

110

0.1

4.5 6.618,830 5,131

0.0 3.915,682 9,518

100.0 62.90.0 11.3

0.7 0.455.4 12.5

435.5 17.935 24

2,245 964

49 9,031

471.4 10.559 42

100 100100 98100 100100 99100 98100 100

7.88.811 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Country data

High-income group


Qatar







8,330 6,793 7,5026,677 4,892 5,77354.4 64.0 74.9–0.3 0.2 1.6

59 28 307,991 3,011 3,671

107 126 129113 148 153

28.6 38.6 37.2–0.1 0.0 0.17.1 7.4 13.0

71218

10.7

6.4 3.6 5.21,830 3,030 2,177

10.3 1.7 6.82,488 4,052 3,001

56.2 67.5 64.726.5 16.4 26.4

0.4 0.7 0.54.4 7.2 5.3

–40.7 –31.3 3.812 24 31

216 228 320

1,963 12,913 18,143

21.7 7.0 3.220 63 65

.. 95 95

.. 89 86

.. 98 9872 89 8454 80 6788 94 90

..

..12 21 22

28.4 19.8 19.911.2 11.7 11.83.4 3.6 4.11.4 8.7 6.40.0 0.4 1.00.0 0.0 0.00.5 0.9 0.60.0 0.2 0.2

18.8 1.4 3.9


Country data

Europe & Central

Asia group


Romania







9,340 6,793 7,5026,165 4,892 5,77372.8 64.0 74.9–0.3 0.2 1.6

13 28 302,955 3,011 3,671

130 126 12932 148 153

49.4 38.6 37.20.0 0.0 0.19.0 7.4 13.0321835

834.1

3.1 3.6 5.24,838 3,030 2,177

0.9 1.7 6.86,435 4,052 3,001

68.1 67.5 64.715.9 16.4 26.4

0.8 0.7 0.510.8 7.2 5.3

.. –31.3 3.816 24 31

318 228 320

30,352 12,913 18,143

1.5 7.0 3.220 63 6596 95 9589 89 8698 98 9887 89 8470 80 6793 94 90

..

..12 21 22

23.4 19.8 19.912.0 11.7 11.83.5 3.6 4.1

13.8 8.7 6.40.7 0.4 1.00.0 0.0 0.01.1 0.9 0.60.1 0.2 0.2

–0.8 1.4 3.9

Country data

Europe & Central

Asia group



Russian Federation







490 1,125 509449 861 45318.6 36.9 28.78.3 4.0 3.7

82 45 37218 314 280134 130 134615 356 642

17.6 28.0 28.2–1.0 0.3 0.410.0 11.7 11.2

2012

94

0.9

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.08 0.45 0.280.08 0.85 0.28

4.8 46.1 –36.226 49 60

.. 57 19

1,005 4,826 5,606

1.6 3.2 5.668 87 9365 60 6462 47 5677 82 8554 31 3555 24 3250 43 44

17.114.1111 130 118

15.2 15.5 ..7.4 10.6 7.23.6 3.6 3.20.0 7.5 1.20.0 1.2 1.32.4 0.6 1.40.1 0.6 0.30.1 0.3 0.38.8 –1.8 ..


Country data


Low-income group

Rwanda







2,840 3,163 2,3212,406 2,807 2,028

23.2 45.0 40.91.0 3.4 3.0

23 48 502,123 550 588

113 135 131551 657 591

60.4 29.6 25.9–0.9 –0.2 0.03.4 14.9 11.5

27

112

1.6

.. 3.8 4.0

.. 1,380 1,019

.. 12.4 16.9

.. 1,972 1,318

.. 80.3 78.2

.. 16.4 16.8

0.2 0.8 0.70.9 4.0 2.8

29.4 148.9 117.7.. 61 63.. 97 78

.. 4,582 2,936

.. 10.2 17.9

.. 74 8188 88 8687 81 8190 96 94

100 59 50100 54 41100 64 63

..

..25 26 57

.. 46.5 39.910.2 10.3 9.9

1.4 2.1 2.40.0 3.3 4.00.0 0.3 0.40.3 0.0 0.20.3 1.0 1.0

.. 0.7 0.7

.. 33.1 26.2

Country data

East Asia & Pacific

group



Samoa







50,670 37,990.. 31,467

94.3 77.3.. 1.0

17 37.. 25,774.. 106

179 331

0.0 28.90.0 –0.1

.. 13.40000

0.0

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.4

.. 12.5

.. 17.98 24.. 964

.. 9,031

.. 10.5

.. 42

.. 100

.. 98

.. 100

.. 99

.. 98

.. 100

..

..2 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Country data

High-income group


San Marino







1,130 1,125 2,3211,103 861 2,02861.4 36.9 40.93.6 4.0 3.0

57 45 50.. 314 588

111 130 131702 356 591

28.1 28.0 25.90.0 0.3 0.0

.. 11.7 11.55

1011352.7

.. 3.2 4.0

.. 678 1,019

.. 57.7 16.9

.. 531 1,318

.. 66.2 78.2

.. 17.2 16.8

0.5 0.4 0.70.8 0.8 2.8

94.4 46.1 117.729 49 63

.. 57 78

13,829 4,826 2,936

0.3 3.2 17.9.. 87 81

89 60 8688 47 8189 82 9426 31 5019 24 4130 43 63

5.0..

78 130 57

.. 15.5 39.98.4 10.6 9.9

.. 3.6 2.40.0 7.5 4.00.0 1.2 0.41.0 0.6 0.20.5 0.6 1.00.1 0.3 0.7

.. –1.8 26.2

Country data




São Tomé and Príncipe







17,210 37,9908,679 31,46782.3 77.3

2.7 1.0

87 3719,352 25,774

124 106126 331

0.5 28.90.0 –0.1

31.3 13.49

1422

33.2

3.3 6.66,514 5,131

0.0 3.97,527 9,518100.0 62.9

0.0 11.3

0.8 0.416.6 12.587.1 17.9104 24

1,279 964

99 9,031

943.3 10.588 4296 100

.. 9897 10099 99

.. 98100 100

8.89.121 7

31.5 16.112.1 14.1

7.2 4.628.9 0.9

0.0 0.10.0 0.00.8 0.20.7 0.1

–3.9 5.2

Country data

High-income group


Saudi Arabia








Country data


Low-income group

1,040 1,125 2,321931 861 2,02842.6 36.9 40.9

3.1 4.0 3.0

48 45 50235 314 588134 130 131201 356 591

44.0 28.0 25.90.3 0.3 0.0

24.1 11.7 11.5169

419

1.0

7.1 3.2 4.0234 678 1,01941.7 57.7 16.9158 531 1,31887.5 66.2 78.29.5 17.2 16.8

0.3 0.4 0.70.5 0.8 2.8

72.1 46.1 117.781 49 6357 57 78

2,169 4,826 2,936

8.6 3.2 17.993 87 8169 60 8652 47 8192 82 9451 31 5038 24 4169 43 63

7.015.1

93 130 57

.. 15.5 39.98.4 10.6 9.95.4 3.6 2.40.0 7.5 4.00.3 1.2 0.40.0 0.6 0.20.3 0.6 1.00.5 0.3 0.7

.. –1.8 26.2

Senegal







6,000 6,793 7,502.. 4,892 5,773

52.2 64.0 74.90.0 0.2 1.6

57 28 30.. 3,011 3,671.. 126 129

107 148 153

30.7 38.6 37.2–0.5 0.0 0.16.0 7.4 13.0

611111

0.2

4.7 3.6 5.22,181 3,030 2,177

5.0 1.7 6.84,284 4,052 3,001

74.0 67.5 64.726.0 16.4 26.4

.. 0.7 0.5

.. 7.2 5.3

.. –31.3 3.8

.. 24 31251 228 320

.. 12,913 18,143

.. 7.0 3.2

.. 63 6599 95 9598 89 8699 98 9892 89 8488 80 6796 94 90

..

..7 21 22

17.5 19.8 19.9.. 11.7 11.8

4.7 3.6 4.10.4 8.7 6.40.0 0.4 1.0

.. 0.0 0.00.0 0.9 0.6

.. 0.2 0.2

.. 1.4 3.9

Country data

Europe & Central

Asia group



Serbia








Country data



8,480 1,125 7,5026,439 861 5,773

54.8 36.9 74.91.8 4.0 1.6

9 45 30691 314 3,67138 130 129

3,970 356 153

89.1 28.0 37.20.0 0.3 0.1

42.0 11.7 13.05

1014453.5

.. 3.2 5.2

.. 678 2,177

.. 57.7 6.8

.. 531 3,001

.. 66.2 64.7

.. 17.2 26.4

0.4 0.4 0.57.3 0.8 5.3

448.4 46.1 3.8.. 49 31.. 57 320

.. 4,826 18,143

.. 3.2 3.27 87 65.. 60 95.. 47 86

100 82 98.. 31 84.. 24 67

97 43 90

..

..12 130 22

10.7 15.5 19.913.6 10.6 11.8

4.6 3.6 4.10.0 7.5 6.40.0 1.2 1.00.0 0.6 0.00.9 0.6 0.6

.. 0.3 0.2

.. –1.8 3.9

Seychelles







340 1,125 509305 861 45338.1 36.9 28.7

2.5 4.0 3.7

58 45 37329 314 280201 130 134193 356 642

38.1 28.0 28.20.4 0.3 0.45.0 11.7 11.2171045481.3

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.3 0.4 0.30.2 0.8 0.3

237.7 46.1 –36.238 49 60

.. 57 19

29,518 4,826 5,606

0.3 3.2 5.671 87 9349 60 6426 47 5686 82 8513 31 35

6 24 3224 43 44

9.025.3192 130 118

8.0 15.5 ..6.8 10.6 7.23.4 3.6 3.20.0 7.5 1.20.4 1.2 1.31.7 0.6 1.40.5 0.6 0.30.8 0.3 0.31.2 –1.8 ..

Country data


Low-income group


Sierra Leone








Country data

High-income group

37,220 37,99030,870 31,467

100.0 77.32.6 1.0

1 3749,867 25,774

132 1060 331

2.9 28.90.0 –0.15.4 13.4111725570.1

12.5 6.63,828 5,131

0.0 3.98,185 9,518100.0 62.9

0.0 11.3

0.2 0.411.8 12.515.4 17.9

31 24494 964

131 9,031

.. 10.5

.. 42100 100

.. 98100 100100 99

.. 98100 100

..

..3 7

.. 16.114.1 14.12.8 4.60.0 0.90.0 0.10.0 0.00.3 0.20.4 0.1

.. 5.2

Singapore







16,130 37,99013,541 31,467

56.7 77.30.1 1.0

40 378,919 25,774

97 106170 331

40.2 28.90.0 –0.1

23.5 13.43752

0.1

6.1 6.63,385 5,131

3.7 3.95,268 9,518

25.9 62.914.0 11.3

0.4 0.46.8 12.5

.. 17.913 24

379 964

2,334 9,031

.. 10.5

.. 42100 100100 98100 100100 9999 98

100 100

..

..7 7

29.9 16.113.0 14.1

3.6 4.60.0 0.90.0 0.10.3 0.00.4 0.20.0 0.1

19.8 5.2

Country data

High-income group


Slovak Republic








Country data

High-income group

23,520 37,99019,965 31,467

48.3 77.3–0.1 1.0

25 3762,901 25,774

97 106574 331

62.2 28.9–0.2 –0.112.1 13.4

44

260

0.2

7.1 6.63,827 5,131

6.7 3.96,920 9,518

35.5 62.924.5 11.3

0.3 0.47.5 12.5

.. 17.929 24

985 964

9,251 9,031

.. 10.5

.. 4299 10099 98

100 100100 99100 98100 100

..

..3 7

22.7 16.113.5 14.1

4.9 4.60.1 0.90.0 0.10.1 0.00.3 0.20.1 0.1

13.6 5.2

Slovenia







910 3,163 509683 2,807 45318.3 45.0 28.7

4.2 3.4 3.7

3 48 371,981 550 280

119 135 1342,618 657 642

79.1 29.6 28.20.2 –0.2 0.40.1 14.9 11.220201516

4.4

.. 3.8 3.2

.. 1,380 357

.. 12.4 66.2

.. 1,972 231

.. 80.3 28.9

.. 16.4 48.9

0.2 0.8 0.30.4 4.0 0.3

22.7 148.9 –36.226 61 60

.. 97 19

89,716 4,582 5,606

.. 10.2 5.6

.. 74 9369 88 6465 81 5694 96 8529 59 3518 54 3298 64 44

..

..36 26 118

.. 46.5 ..11.9 10.3 7.23.8 2.1 3.20.0 3.3 1.20.0 0.3 1.3

10.9 0.0 1.40.3 1.0 0.30.1 0.7 0.3

.. 33.1 ..

Country data

East Asia & Pacific

group



Solomon Islands







Population (millions) 9.1 Land area (1,000 sq. km) 627.3 GDP ($ millions) ..

Country data


Low-income group

.. 1,125 523

.. 861 2937.0 36.9 3.52.9 4.0 2.2

70 45 38.. 314 318

104 130 125567 356 666

10.8 28.0 24.70.7 0.3 0.70.6 11.7 11.915112621

6.1

.. 3.2 3.2

.. 678 423

.. 57.7 49.3

.. 531 324

.. 66.2 41.6

.. 17.2 41.9

.. 0.4 0.40.07 0.85 0.51

3,180.0 46.1 –6.031 49 65

.. 57 37

687 4,826 5,004

55.0 3.2 9.499 87 8830 60 67

9 47 6067 82 8623 31 38

6 24 3352 43 52

..23.4180 130 118

.. 15.5 25.9

.. 10.6 7.9

.. 3.6 3.4

.. 7.5 7.8

.. 1.2 1.0

.. 0.6 1.0

.. 0.6 0.7

.. 0.3 0.3

.. –1.8 10.7

Somalia







5,760 1,125 7,5024,529 861 5,773

61.2 36.9 74.92.6 4.0 1.6

82 45 303,663 314 3,671

122 130 129132 356 153

4.7 28.0 37.21.2 0.3 0.16.9 11.7 13.024398197

20.7

3.5 3.2 5.22,756 678 2,17710.4 57.7 6.8

4,759 531 3,00194.3 66.2 64.7

0.5 17.2 26.4

1.0 0.4 0.59.0 0.8 5.3

30.0 46.1 3.822 49 31

293 57 320

928 4,826 18,143

27.9 3.2 3.263 87 6591 60 9578 47 8699 82 9877 31 8465 24 6784 43 90

19.013.2

62 130 22

15.8 15.5 19.914.1 10.6 11.85.4 3.6 4.12.8 7.5 6.42.2 1.2 1.00.3 0.6 0.01.2 0.6 0.60.1 0.3 0.20.4 –1.8 3.9

Country data




South Africa







32,120 37,99026,787 31,467

77.3 77.31.0 1.0

56 3720,824 25,774

97 10683 331

36.4 28.9–0.9 –0.18.6 13.416156255

6.8

9.3 6.63,047 5,131

4.2 3.96,315 9,51860.9 62.9

7.6 11.3

0.3 0.48.0 12.5

57.9 17.928 24

703 964

2,478 9,031

33.4 10.565 42

100 100100 98100 100100 99100 98100 100

..

..4 7

19.9 16.113.9 14.1

4.0 4.60.0 0.90.0 0.10.0 0.00.2 0.20.2 0.19.7 5.2

Country data

High-income group


Spain







1,990 1,107 2,3211,841 952 2,028

15.1 29.8 40.90.2 2.7 3.0

42 55 50903 494 588120 123 131

1,369 633 591

29.7 17.1 25.90.8 –0.1 0.0

20.8 6.1 11.5301441

2837.9

9.5 5.2 4.0443 495 1,01952.6 28.5 16.9409 503 1,31855.1 80.5 78.244.7 15.4 16.8

0.2 0.5 0.70.6 1.2 2.8

226.3 134.1 117.774 72 6386 36 78

2,639 1,195 2,936

24.5 51.7 17.987 90 8190 87 8688 83 8198 95 9491 36 5092 27 4188 57 63

..5.015 71 57

24.3 32.3 39.99.5 8.4 9.92.6 2.9 2.40.0 2.1 4.00.0 0.9 0.40.5 0.9 0.20.2 0.9 1.00.2 0.5 0.7

16.4 21.6 26.2

Country data

South Asia

group



Sri Lanka








Country data


group


10,150 7,007 7,502.. 5,725 5,773

32.4 79.0 74.90.5 2.0 1.6

20 35 301,862 3,542 3,671

65 131 129832 245 153

42.3 47.0 37.20.0 0.3 0.13.6 20.8 13.0

21

152

0.1

.. 7.7 5.2

.. 1,290 2,177

.. 16.8 6.8

.. 1,907 3,001

.. 38.7 64.7

.. 55.3 26.4

0.4 0.3 0.55.1 2.7 5.3

277.8 51.2 3.817 32 31.. 302 320

492 24,000 18,143

.. 2.0 3.2

.. 71 6599 93 9599 80 8699 97 9896 79 8496 54 6796 86 90

..

..15 23 22

7.8 19.5 19.912.8 11.7 11.8

3.9 4.4 4.10.0 3.5 6.40.0 1.3 1.0

.. 0.0 0.00.4 0.3 0.6

.. 0.3 0.2

.. 6.8 3.9

St. Kitts and Nevis







5,190 7,007 7,502.. 5,725 5,773

27.9 79.0 74.91.1 2.0 1.6

18 35 301,637 3,542 3,671

90 131 1294,094 245 153

77.0 47.0 37.2–0.2 0.3 0.114.3 20.8 13.0

25

166

1.4

.. 7.7 5.2

.. 1,290 2,177

.. 16.8 6.8

.. 1,907 3,001

.. 38.7 64.7

.. 55.3 26.4

0.2 0.3 0.52.3 2.7 5.3

131.1 51.2 3.834 32 31

.. 302 320

.. 24,000 18,143

.. 2.0 3.2

.. 71 6598 93 9598 80 8698 97 9889 79 8489 54 6789 86 90

..

..20 23 22

–3.2 19.5 19.911.8 11.7 11.84.8 4.4 4.10.0 3.5 6.40.0 1.3 1.0

.. 0.0 0.00.3 0.3 0.60.0 0.3 0.2

.. 6.8 3.9

Country data


group



St. Lucia








Country data


group


5,130 7,007 7,5024,563 5,725 5,773

47.4 79.0 74.90.9 2.0 1.6

26 35 302,777 3,542 3,671

92 131 1291,156 245 153

69.2 47.0 37.2–0.3 0.3 0.110.9 20.8 13.0

22

164

1.0

.. 7.7 5.2

.. 1,290 2,177

.. 16.8 6.8

.. 1,907 3,001

.. 38.7 64.7

.. 55.3 26.4

0.2 0.3 0.51.8 2.7 5.3

150.0 51.2 3.824 32 31

.. 302 320

.. 24,000 18,143

.. 2.0 3.2

.. 71 65

.. 93 9593 80 86

.. 97 98

.. 79 8496 54 67

.. 86 90

..

..12 23 22

–2.8 19.5 19.911.3 11.7 11.8

5.7 4.4 4.10.0 3.5 6.40.0 1.3 1.00.0 0.0 0.00.3 0.3 0.60.1 0.3 0.2

–8.8 6.8 3.9

St. Vincent & Grenadines







1,220 1,125 2,321861 861 2,028

44.3 36.9 40.95.0 4.0 3.0

58 45 50891 314 588119 130 131113 356 591

29.4 28.0 25.90.3 0.3 0.04.9 11.7 11.5151417185.1

5.3 3.2 4.0372 678 1,019

68.0 57.7 16.996 531 1,318

67.6 66.2 78.232.4 17.2 16.8

0.2 0.4 0.70.3 0.8 2.8

107.3 46.1 117.7159 49 6354 57 78

742 4,826 2,936

123.8 3.2 17.997 87 8157 60 8652 47 8164 82 9434 31 5018 24 4155 43 63

5.029.4108 130 57

13.5 15.5 39.99.7 10.6 9.90.9 3.6 2.4

11.1 7.5 4.00.0 1.2 0.40.0 0.6 0.20.2 0.6 1.00.5 0.3 0.7

–7.1 –1.8 26.2

Country data




Sudan








Country data


group


4,760 7,007 7,5024,425 5,725 5,77375.3 79.0 74.9

1.8 2.0 1.6

0 35 303,179 3,542 3,671

111 131 129264 245 153

94.6 47.0 37.20.0 0.3 0.1

11.4 20.8 13.080

24262.7

.. 7.7 5.2

.. 1,290 2,177

.. 16.8 6.8

.. 1,907 3,001

.. 38.7 64.7

.. 55.3 26.4

0.7 0.3 0.54.8 2.7 5.3

34.6 51.2 3.824 32 31

.. 302 320

172,425 24,000 18,143

0.8 2.0 3.293 71 6593 93 9581 80 8697 97 9884 79 8466 54 6790 86 90

4.014.8

26 23 22

.. 19.5 19.9

.. 11.7 11.8

.. 4.4 4.1

.. 3.5 6.4

.. 1.3 1.0

.. 0.0 0.0

.. 0.3 0.6

.. 0.3 0.2

.. 6.8 3.9

Suriname







2,470 1,125 2,3212,178 861 2,02825.2 36.9 40.9

2.2 4.0 3.0

71 45 501,154 314 588

115 130 131492 356 591

32.7 28.0 25.9–0.6 0.3 0.03.0 11.7 11.5

594

110.1

.. 3.2 4.0

.. 678 1,019

.. 57.7 16.9

.. 531 1,318

.. 66.2 78.2

.. 17.2 16.8

0.2 0.4 0.70.9 0.8 2.8

150.0 46.1 117.735 49 63

.. 57 78

2,293 4,826 2,936

39.5 3.2 17.997 87 8169 60 8661 47 8192 82 9455 31 5053 24 4161 43 63

10.0..

73 130 57

2.5 15.5 39.910.2 10.6 9.9

7.2 3.6 2.40.0 7.5 4.00.0 1.2 0.40.1 0.6 0.20.3 0.6 1.00.0 0.3 0.7

–0.9 –1.8 26.2

Country data




Swaziland








Country data

High-income group

48,840 37,99038,426 31,467

84.6 77.30.5 1.0

8 3749,548 25,774

100 10654 331

68.7 28.9–0.1 –0.111.3 13.4

13

113

0.3

6.4 6.65,379 5,131

20.0 3.914,869 9,518

2.1 62.946.1 11.3

0.2 0.45.4 12.5

–4.8 17.911 24

844 964

18,692 9,031

1.6 10.59 42

100 100100 98100 100100 99100 98100 100

..

..3 7

23.6 16.113.3 14.1

6.1 4.60.0 0.90.2 0.10.0 0.00.1 0.20.0 0.1

16.0 5.2

Sweden







65,430 37,99056,928 31,467

73.5 77.30.8 1.0

39 3725,618 25,774

104 106497 331

31.0 28.9–0.2 –0.122.8 13.4

2293

0.2

10.9 6.63,491 5,131

8.1 3.98,307 9,518

1.3 62.953.7 11.3

0.1 0.45.0 12.5

–11.6 17.922 24

754 964

5,350 9,031

6.5 10.52 42

100 100100 98100 100100 99100 98100 100

..

..4 7

31.0 16.114.1 14.14.8 4.60.0 0.90.0 0.10.0 0.00.1 0.20.1 0.1

21.6 5.2

Country data

High-income group

Population (millions) 7.7 Land area (1,000 sq. km) 40 GDP ($ billions) 491.9

Switzerland








Country data

Middle East &

N. Africa group


2,410 3,597 2,3211,928 2,859 2,028

54.6 57.6 40.93.2 2.6 3.0

76 23 504,543 2,896 588

131 132 131201 818 591

2.7 2.4 25.9–0.9 –0.1 0.00.6 4.0 11.5161333

30.9

4.4 4.7 4.0957 1,329 1,0190.0 1.1 16.9

1,521 1,494 1,31893.0 94.1 78.2

7.0 4.4 16.8

0.8 0.6 0.73.5 3.7 2.8

86.6 103.4 117.769 71 63

189 259 78

355 709 2,936

235.0 122.3 17.988 86 8189 87 8684 80 8194 95 9496 84 5095 76 4196 92 63

18.08.616 33 57

.. .. 39.99.9 10.4 9.92.6 4.3 2.4

10.0 14.5 4.00.1 0.3 0.40.0 0.0 0.21.1 0.9 1.00.7 0.6 0.7

.. .. 26.2

Syrian Arab Republic







700 6,793 509649 4,892 45326.5 64.0 28.7

0.5 0.2 3.7

34 28 37525 3,011 280162 126 134681 148 642

2.9 38.6 28.20.0 0.0 0.44.1 7.4 11.2

895

140.7

4.8 3.6 3.2365 3,030 3570.0 1.7 66.2

2,072 4,052 2311.9 67.5 28.9

98.1 16.4 48.9

0.6 0.7 0.31.1 7.2 0.3

.. –31.3 –36.243 24 6015 228 19

9,855 12,913 5,606

18.0 7.0 5.692 63 9370 95 6461 89 5694 98 8594 89 3594 80 3295 94 44

1.020.8

61 21 118

12.4 19.8 ..7.9 11.7 7.23.2 3.6 3.20.2 8.7 1.20.0 0.4 1.30.0 0.0 1.41.1 0.9 0.30.3 0.2 0.36.2 1.4 ..

Country data

Europe & Central

Asia group

Low-income group


Tajikistan








Country data


Low-income group

500 1,125 509444 861 45326.0 36.9 28.7

4.5 4.0 3.7

39 45 37281 314 280134 130 134330 356 642

37.7 28.0 28.20.7 0.3 0.4

27.7 11.7 11.23542

17229814.8

2.6 3.2 3.2446 678 357

88.2 57.7 66.284 531 231

39.9 66.2 28.960.1 17.2 48.9

0.1 0.4 0.30.1 0.8 0.3

154.7 46.1 –36.222 49 6026 57 19

2,035 4,826 5,606

6.2 3.2 5.689 87 9354 60 6445 47 5680 82 8524 31 3521 24 3232 43 44

8.112.6108 130 118

21.1 15.5 ..7.3 10.6 7.22.4 3.6 3.20.2 7.5 1.22.3 1.2 1.30.0 0.6 1.40.2 0.6 0.30.1 0.3 0.3

13.5 –1.8 ..

Tanzania







3,760 3,163 2,3213,213 2,807 2,028

33.7 45.0 40.91.7 3.4 3.0

38 48 50705 550 588126 135 131296 657 591

37.1 29.6 25.90.1 –0.2 0.0

19.6 14.9 11.557457291

8.0

4.7 3.8 4.01,591 1,380 1,019

18.7 12.4 16.92,079 1,972 1,318

91.9 80.3 78.24.8 16.4 16.8

0.6 0.8 0.74.1 4.0 2.8

189.6 148.9 117.755 61 63

262 97 78

3,352 4,582 2,936

25.5 10.2 17.990 74 8198 88 8698 81 8199 96 9496 59 5096 54 4195 64 63

..

..14 26 57

31.0 46.5 39.910.9 10.3 9.9

4.6 2.1 2.43.0 3.3 4.00.0 0.3 0.40.2 0.0 0.20.9 1.0 1.00.2 0.7 0.7

20.5 33.1 26.2

Country data

East Asia & Pacific

group



Thailand








Country data

East Asia & Pacific

group


2,460 3,163 2,321.. 2,807 2,028

27.7 45.0 40.93.8 3.4 3.0

25 48 50359 550 588111 135 131499 657 591

49.9 29.6 25.90.9 –0.2 0.06.0 14.9 11.5

4750

0.6

.. 3.8 4.0

.. 1,380 1,019

.. 12.4 16.9

.. 1,972 1,318

.. 80.3 78.2

.. 16.4 16.8

0.3 0.8 0.70.2 4.0 2.8

.. 148.9 117.7

.. 61 63

.. 97 78

7,720 4,582 2,936

.. 10.2 17.991 74 8169 88 8663 81 8186 96 9450 59 5040 54 4176 64 63

14.0..

56 26 57

.. 46.5 39.9

.. 10.3 9.91.6 2.1 2.4

.. 3.3 4.0

.. 0.3 0.4

.. 0.0 0.2

.. 1.0 1.0

.. 0.7 0.7

.. 33.1 26.2

Timor-Leste







440 1,125 509384 861 45342.7 36.9 28.74.6 4.0 3.7

67 45 37394 314 280132 130 134152 356 642

5.3 28.0 28.22.9 0.3 0.4

11.3 11.7 11.2113

2410

0.3

1.9 3.2 3.2397 678 357

83.1 57.7 66.299 531 231

24.4 66.2 28.974.0 17.2 48.9

0.3 0.4 0.30.2 0.8 0.3

70.1 46.1 –36.229 49 6045 57 19

1,825 4,826 5,606

1.5 3.2 5.645 87 9360 60 6441 47 5687 82 8512 31 35

3 24 3224 43 44

9.031.1

98 130 118

.. 15.5 ..7.0 10.6 7.24.5 3.6 3.20.0 7.5 1.21.3 1.2 1.32.3 0.6 1.40.4 0.6 0.30.1 0.3 0.3

.. –1.8 ..

Country data


Low-income group


Togo








Country data

East Asia & Pacific

group


3,260 3,163 2,3212,762 2,807 2,02825.0 45.0 40.9

1.0 3.4 3.0

43 48 503,559 550 588

108 135 131519 657 591

12.5 29.6 25.90.0 -0.2 0.0

14.5 14.9 11.524

104

1.0

.. 3.8 4.0

.. 1,380 1,019

.. 12.4 16.9

.. 1,972 1,318

.. 80.3 78.2

.. 16.4 16.8

0.4 0.8 0.71.7 4.0 2.8

128.6 148.9 117.7.. 61 63.. 97 78

.. 4,582 2,936

.. 10.2 17.9

.. 74 81100 88 86100 81 81100 96 94

96 59 5096 54 4198 64 63

..

..19 26 57

.. 46.5 39.99.8 10.3 9.93.6 2.1 2.40.0 3.3 4.00.0 0.3 0.40.0 0.0 0.20.4 1.0 1.0

.. 0.7 0.7

.. 33.1 26.2

Tonga







16,700 37,9909,114 31,46713.6 77.3

3.0 1.0

11 371,553 25,774

125 1064,628 331

44.1 28.90.2 –0.1

31.2 13.422

191

2.2

1.7 6.614,557 5,131

0.1 3.95,789 9,51899.9 62.9

0.0 11.3

1.2 0.427.9 12.5

118.4 17.9105 24587 964

2,891 9,031

6.0 10.59 42

94 10093 9898 10092 9992 9892 100

3.0..

35 7

.. 16.112.9 14.1

4.0 4.628.2 0.9

0.0 0.10.0 0.01.4 0.20.2 0.1

.. 5.2

Country data

High-income group


Trinidad and Tobago








Country data

Middle East &

N. Africa group


3,720 3,597 2,3213,023 2,859 2,02866.9 57.6 40.9

2.1 2.6 3.0

64 23 503,498 2,896 588

115 132 131122 818 591

6.5 2.4 25.9–1.5 –0.1 0.01.3 4.0 11.513

7317

0.5

8.3 4.7 4.0889 1,329 1,01913.6 1.1 16.9

1,298 1,494 1,31899.5 94.1 78.2

0.2 4.4 16.8

0.3 0.6 0.72.3 3.7 2.8

79.9 103.4 117.726 71 63

151 259 78

410 709 2,936

67.6 122.3 17.976 86 8194 87 8684 80 8199 95 9485 84 5064 76 4196 92 63

9.05.821 33 57

24.1 .. 39.911.0 10.4 9.96.7 4.3 2.43.5 14.5 4.01.0 0.3 0.40.1 0.0 0.20.5 0.9 1.00.1 0.6 0.7

14.6 .. 26.2

Tunisia







8,720 6,793 7,5027,144 4,892 5,77369.1 64.0 74.92.3 0.2 1.6

51 28 303,326 3,011 3,671

119 126 129107 148 153

14.7 38.6 37.2–0.5 0.0 0.11.9 7.4 13.0171567

56.2

8.9 3.6 5.21,333 3,030 2,177

4.9 1.7 6.82,308 4,052 3,001

82.6 67.5 64.716.8 16.4 26.4

0.3 0.7 0.54.0 7.2 5.3

91.4 –31.3 3.837 24 31

181 228 320

3,109 12,913 18,143

17.7 7.0 3.274 63 6599 95 9596 89 86

100 98 9890 89 8475 80 6797 94 90

29.029.7

20 21 22

13.0 19.8 19.911.7 11.7 11.82.6 3.6 4.10.2 8.7 6.40.0 0.4 1.00.0 0.0 0.00.3 0.9 0.60.6 0.2 0.22.9 1.4 3.9

Country data

Europe & Central

Asia group



Turkey








Country data

Europe & Central

Asia group


3,420 6,793 2,321.. 4,892 2,028

49.1 64.0 40.92.2 0.2 3.0

69 28 502,677 3,011 588

137 126 131140 148 591

8.8 38.6 25.90.0 0.0 0.03.0 7.4 11.5

915113

1.8

1.7 3.6 4.03,730 3,030 1,019

0.0 1.7 16.92,273 4,052 1,318100.0 67.5 78.2

0.0 16.4 16.8

1.6 0.7 0.79.2 7.2 2.8

.. –31.3 117.765 24 63

191 228 78

273 12,913 2,936

1,831.6 7.0 17.997 63 8183 95 8672 89 8197 98 9498 89 5097 80 4199 94 63

1.03.245 21 57

.. 19.8 39.910.8 11.7 9.9

.. 3.6 2.430.4 8.7 4.0

0.0 0.4 0.4.. 0.0 0.2

2.1 0.9 1.00.9 0.2 0.7

.. 1.4 26.2

Turkmenistan








Country data

High-income group

.. 37,990

.. 31,46793.3 77.3

6.7 1.0

1 37.. 25,774.. 106

271 331

35.8 28.90.0 –0.1

42.9 13.422

142..

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.44.9 12.5

22.2 17.9.. 24.. 964

.. 9,031

.. 10.5

.. 42100 100100 98100 100

96 9994 9898 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Turks and Caicos Islands







Population (thousands) 10 Land area (sq. km) 30 GDP ($ millions) ..

Country data

East Asia & Pacific

group


.. 3,163 2,321

.. 2,807 2,02849.9 45.0 40.9

.. 3.4 3.0

60 48 50.. 550 588

114 135 131.. 657 591

33.3 29.6 25.90.0 –0.2 0.00.4 14.9 11.5

2190

0.3

.. 3.8 4.0

.. 1,380 1,019

.. 12.4 16.9

.. 1,972 1,318

.. 80.3 78.2

.. 16.4 16.8

.. 0.8 0.7

.. 4.0 2.8

.. 148.9 117.7

.. 61 63

.. 97 78

.. 4,582 2,936

.. 10.2 17.9

.. 74 8197 88 8697 81 8198 96 9484 59 5081 54 4188 64 63

..

..35 26 57

.. 46.5 39.9

.. 10.3 9.9

.. 2.1 2.4

.. 3.3 4.0

.. 0.3 0.4

.. 0.0 0.2

.. 1.0 1.0

.. 0.7 0.7

.. 33.1 26.2

Tuvalu







460 1,125 509423 861 45313.1 36.9 28.7

4.1 4.0 3.7

66 45 37202 314 280112 130 134488 356 642

15.2 28.0 28.21.5 0.3 0.49.7 11.7 11.222196141

2.8

.. 3.2 3.2

.. 678 357

.. 57.7 66.2

.. 531 231

.. 66.2 28.9

.. 17.2 48.9

0.1 0.4 0.30.1 0.8 0.3

291.9 46.1 –36.212 49 60

.. 57 19

1,273 4,826 5,606

0.8 3.2 5.636 87 9367 60 6464 47 5691 82 8548 31 3549 24 3238 43 44

22.019.6128 130 118

17.9 15.5 ..7.4 10.6 7.23.0 3.6 3.20.0 7.5 1.20.0 1.2 1.34.7 0.6 1.40.1 0.6 0.30.0 0.3 0.38.6 –1.8 ..

Country data


Low-income group


Uganda








Country data

Europe & Central

Asia group


2,800 6,793 2,3212,077 4,892 2,02868.0 64.0 40.9–0.5 0.2 3.0

71 28 502,394 3,011 588

123 126 13146 148 591

16.8 38.6 25.9–0.2 0.0 0.03.5 7.4 11.51112211

0.5

2.3 3.6 4.02,943 3,030 1,019

0.7 1.7 16.93,534 4,052 1,318

47.4 67.5 78.25.9 16.4 16.8

1.0 0.7 0.76.8 7.2 2.8

.. –31.3 117.718 24 63

177 228 78

1,142 12,913 2,936

72.5 7.0 17.951 63 8198 95 8697 89 8198 98 9495 89 5090 80 4197 94 63

..

..15 21 57

15.9 19.8 39.99.9 11.7 9.95.9 3.6 2.43.8 8.7 4.00.0 0.4 0.40.0 0.0 0.22.4 0.9 1.00.1 0.2 0.75.6 1.4 26.2

Ukraine







.. 37,990

.. 31,46777.9 77.34.7 1.0

7 3730,334 25,066

45 1061,526 331

3.8 28.9-0.9 -0.15.6 13.4

71013

00.2

4.2 6.613,030 5,131

0.0 3.916,891 9,518

100.0 62.90.0 11.3

0.6 0.431.0 12.5

147.3 17.989 24

1,884 964

34 9,031

2,032.0 10.583 42

100 100100 98100 100

97 9995 9898 100

6.28.8

7 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Country data

High-income group


United Arab Emirates








Country data

High-income group

41,370 37,99030,590 31,467

90.0 77.30.5 1.0

73 3727,403 25,774

98 106103 331

11.9 28.9–0.3 –0.124.4 13.4

52

4114

3.5

10.0 6.63,395 5,131

2.2 3.96,061 9,51880.3 62.9

1.3 11.3

0.3 0.48.8 12.5

–5.4 17.913 24

641 964

2,378 9,031

10.0 10.52 42

100 100100 98100 100100 99100 98100 100

..

..6 7

12.0 16.113.5 14.1

5.1 4.61.2 0.90.0 0.10.0 0.00.2 0.20.0 0.12.2 5.2

United Kingdom







46,360 37,99038,762 31,467

82.0 77.31.5 1.0

45 3746,102 25,774

115 10633 331

33.2 28.9–0.1 –0.114.8 13.4

3774

177245

94.2

5.8 6.67,503 5,131

3.7 3.913,654 9,518

71.4 62.95.9 11.3

0.4 0.419.3 12.520.0 17.9

19 241,703 964

9,344 9,031

17.0 10.540 4299 10094 98

100 100100 9999 98

100 100

..

..8 7

9.8 16.114.3 14.14.8 4.60.7 0.90.1 0.10.0 0.00.3 0.20.1 0.1

–0.8 5.2

Country data

High-income group


United States








Country data


group


9,010 7,007 7,5028,062 5,725 5,773

92.4 79.0 74.90.6 2.0 1.6

85 35 308,835 3,542 3,671

144 131 12916 245 153

10.0 47.0 37.2–2.2 0.3 0.10.3 20.8 13.0112335

11.2

9.3 7.7 5.21,254 1,290 2,177

23.9 16.8 6.82,393 1,907 3,001

39.1 38.7 64.751.4 55.3 26.4

0.2 0.3 0.51.9 2.7 5.3

55.7 51.2 3.8160 32 31259 302 320

17,750 24,000 18,143

5.3 2.0 3.296 71 65

100 93 95100 80 86100 97 98100 79 8499 54 67

100 86 90

..

..13 23 22

17.5 19.5 19.912.0 11.7 11.82.3 4.4 4.10.0 3.5 6.40.0 1.3 1.00.4 0.0 0.00.2 0.3 0.61.1 0.3 0.26.1 6.8 3.9

Uruguay







1,100 6,793 2,321864 4,892 2,02836.9 64.0 40.9

1.1 0.2 3.0

63 28 502,445 3,011 588

155 126 131401 148 591

7.7 38.6 25.9–0.2 0.0 0.02.3 7.4 11.510157

151.1

1.3 3.6 4.01,849 3,030 1,019

0.0 1.7 16.91,646 4,052 1,318

77.0 67.5 78.223.0 16.4 16.8

1.9 0.7 0.74.3 7.2 2.8

.. –31.3 117.740 24 6363 228 78

608 12,913 2,936

364.8 7.0 17.991 63 8187 95 8681 89 8198 98 94

100 89 50100 80 41100 94 63

0.05.336 21 57

.. 19.8 39.98.4 11.7 9.99.4 3.6 2.4

17.8 8.7 4.00.0 0.4 0.40.0 0.0 0.23.2 0.9 1.00.3 0.2 0.7

.. 1.4 26.2

Country data

Europe & Central

Asia group

Low-income group


Uzbekistan








Country data

East Asia & Pacific

group


2,620 3,163 2,3212,343 2,807 2,028

25.2 45.0 40.94.1 3.4 3.0

15 48 501,935 550 588

108 135 131880 657 591

36.1 29.6 25.90.0 –0.2 0.04.3 14.9 11.5

87

14102.1

.. 3.8 4.0

.. 1,380 1,019

.. 12.4 16.9

.. 1,972 1,318

.. 80.3 78.2

.. 16.4 16.8

0.1 0.8 0.70.4 4.0 2.8

47.4 148.9 117.715 61 63

.. 97 78

.. 4,582 2,936

.. 10.2 17.9

.. 74 8183 88 8679 81 8196 96 9452 59 5048 54 4166 64 63

..

..16 26 57

.. 46.5 39.910.2 10.3 9.94.8 2.1 2.40.0 3.3 4.00.0 0.3 0.40.0 0.0 0.20.1 1.0 1.00.0 0.7 0.7

.. 33.1 26.2

Vanuatu







10,090 7,007 7,5028,888 5,725 5,773

93.7 79.0 74.92.5 2.0 1.6

24 35 308,036 3,542 3,671

122 131 12969 245 153

52.5 47.0 37.20.4 0.3 0.1

53.7 20.8 13.032273470

25.3

5.1 7.7 5.22,295 1,290 2,177

0.8 16.8 6.83,074 1,907 3,00127.2 38.7 64.772.8 55.3 26.4

0.5 0.3 0.56.0 2.7 5.3

35.5 51.2 3.89 32 31

553 302 320

26,285 24,000 18,143

1.3 2.0 3.244 71 6593 93 9575 80 8694 97 9891 79 8457 54 6794 86 90

9.0..

18 23 22

21.8 19.5 19.912.2 11.7 11.8

3.6 4.4 4.19.5 3.5 6.40.3 1.3 1.00.0 0.0 0.00.4 0.3 0.60.0 0.3 0.22.9 6.8 3.9

Country data


group



Venezuela, RB








Country data

East Asia & Pacific

group

Low-income group

1,000 3,163 2,321805 2,807 2,02828.3 45.0 40.9

3.2 3.4 3.0

32 48 50354 550 588138 135 131987 657 591

44.5 29.6 25.9–1.3 –0.2 0.06.2 14.9 11.5544046

14612.1

3.7 3.8 4.0689 1,380 1,01941.8 12.4 16.9799 1,972 1,318

64.4 80.3 78.235.6 16.4 16.8

0.5 0.8 0.71.3 4.0 2.8

420.3 148.9 117.753 61 6390 97 78

4,221 4,582 2,936

22.8 10.2 17.995 74 8194 88 8692 81 8199 96 9475 59 5067 54 4194 64 63

20.011.3

24 26 57

31.3 46.5 39.98.8 10.3 9.92.8 2.1 2.47.0 3.3 4.00.0 0.3 0.40.2 0.0 0.21.1 1.0 1.00.3 0.7 0.7

16.6 33.1 26.2

Vietnam







.. 37,990

.. 31,46795.1 77.3

0.7 1.0

11 37.. 25,774

101 106565 331

57.1 28.90.6 –0.1

15.2 13.421

1212

0.2

.. 6.6

.. 5,131

.. 3.9

.. 9,518

.. 62.9

.. 11.3

.. 0.4

.. 12.5

.. 17.931 24

.. 964

.. 9,031

.. 10.55 42.. 100.. 98.. 100.. 99.. 98.. 100

..

..

.. 7

.. 16.1

.. 14.1

.. 4.6

.. 0.9

.. 0.1

.. 0.0

.. 0.2

.. 0.1

.. 5.2

Country data

High-income group


Virgin Islands (U.S.)







Population (millions) 4.0 Land area (1,000 sq. km) 6.0 GDP ($ billions) ..

Country data

Middle East &

N. Africa group


.. 3,597 2,321

.. 2,859 2,02872.0 57.6 40.9

4.1 2.6 3.0

61 23 50.. 2,896 588

102 132 1311,095 818 591

1.5 2.4 25.90.0 –0.1 0.0

.. 4.0 11.53800..

.. 4.7 4.0

.. 1,329 1,019

.. 1.1 16.9

.. 1,494 1,318

.. 94.1 78.2

.. 4.4 16.8

.. 0.6 0.70.6 3.7 2.8

.. 103.4 117.7

.. 71 63

.. 259 78

212 709 2,936

51.5 122.3 17.945 86 8191 87 8691 80 8191 95 9489 84 5084 76 4191 92 63

17.0..

30 33 57

.. .. 39.9

.. 10.4 9.9

.. 4.3 2.4

.. 14.5 4.0

.. 0.3 0.4

.. 0.0 0.2

.. 0.9 1.0

.. 0.6 0.7

.. .. 26.2

West Bank and Gaza







1,060 3,597 2,321822 2,859 2,02831.2 57.6 40.95.5 2.6 3.0

45 23 50470 2,896 588144 132 131

1,243 818 591

1.0 2.4 25.90.0 –0.1 0.00.5 4.0 11.5

91421

1593.2

6.8 4.7 4.0326 1,329 1,0191.0 1.1 16.9

220 1,494 1,318100.0 94.1 78.2

0.0 4.4 16.8

0.4 0.6 0.71.0 3.7 2.8

.. 103.4 117.767 71 6390 259 78

94 709 2,936

161.4 122.3 17.990 86 8162 87 8657 80 8172 95 9452 84 5033 76 4194 92 63

24.027.5

66 33 57

.. .. 39.99.0 10.4 9.94.2 4.3 2.4

13.2 14.5 4.00.0 0.3 0.40.0 0.0 0.20.7 0.9 1.0

.. 0.6 0.7

.. .. 26.2

Country data

Middle East &

N. Africa group

Low-income group


Yemen, Rep.








960 1,125 509696 861 45335.6 36.9 28.7

2.0 4.0 3.7

30 45 37220 314 280135 130 134346 356 642

66.5 28.0 28.20.2 0.3 0.4

36.0 11.7 11.29

1420

93.8

2.1 3.2 3.2583 678 35781.0 57.7 66.2602 531 2310.3 66.2 28.9

99.7 17.2 48.9

0.2 0.4 0.30.2 0.8 0.3

10.0 46.1 –36.239 49 6010 57 19

6,513 4,826 5,606

2.2 3.2 5.676 87 9360 60 6446 47 5687 82 8549 31 3543 24 3259 43 44

15.021.2141 130 118

21.3 15.5 ..9.3 10.6 7.21.3 3.6 3.20.0 7.5 1.2

11.5 1.2 1.30.0 0.6 1.40.2 0.6 0.30.2 0.3 0.31.4 –1.8 ..

Country data


Low-income group

Zambia







360 1,125 509.. 861 453

37.8 36.9 28.72.3 4.0 3.7

41 45 37116 314 28082 130 134

209 356 642

40.4 28.0 28.21.2 0.3 0.4

28.0 11.7 11.29

133

161.9

.. 3.2 3.2763 678 357

65.3 57.7 66.21,022 531 231

46.6 66.2 28.953.4 17.2 48.9

.. 0.4 0.30.8 0.8 0.3

–37.9 46.1 –36.240 49 6027 57 19

985 4,826 5,606

34.3 3.2 5.679 87 9382 60 6472 47 5699 82 8544 31 3537 24 3256 43 44

16.013.9

90 130 118

.. 15.5 ..

.. 10.6 7.26.9 3.6 3.22.2 7.5 1.21.3 1.2 1.30.0 0.6 1.41.1 0.6 0.30.2 0.3 0.3

.. –1.8 ..

Country data


Low-income group


Zimbabwe


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 toi-lets with a sewerage connection. To be effective, facilities must be correctly constructed and properly maintained. (World Health Organization; data are for 2009)

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 2009)

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

Adjusted net national income equals gross national income minus consump-tion of fixed capital, energy depletion, mineral depletion, and net forest depletion. (World Bank; data are for 2009)

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 2009)

Agricultural land is arable land, land under permanent crops, and permanent pastures. Arable land includes land defined by the Food and Agriculture Organization of the United Nations as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, cof-fee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops. (Food and Agriculture Organization; data are for 2009)

Agricultural productivity is the ratio of agricultural value added, measured in 2000 U.S. dollars, to the number of workers in agriculture. Agricultural 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. (See World Bank 2011 for details; data are for 2009)

Glossary


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 2009)

Carbon dioxide (CO2) emissions growth is the cumulative percentage change in emissions stemming from the burning of fossil fuels and the manufacture of cement. Emissions include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. (Carbon Dioxide Information Analysis Center; data are for 1990–2007)

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 2007)

Carbon dioxide (CO2) emissions per unit of GDP are carbon dioxide emis-sions in kilograms per unit of GDP in 2005 purchasing power parity (PPP) terms. PPP GDP is gross domestic product converted to international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States. (Carbon Dioxide Information Analysis Center and World Bank; data are for 2007)

Consumption of fixed capital is the replacement value of capital used up in the process of production. (United Nations; data are extrapolated to 2009 from the most recent year available)

Deforestation is the permanent conversion of natural forest area to other uses, including shifting cultivation, permanent agriculture, ranching, settle-ments, and infrastructure development. Deforested areas do not include areas logged but intended for regeneration or areas degraded by fuel-wood gathering, acid precipitation, or forest fires. Negative numbers indicate an increase in forest areas. (Food and Agriculture Organization; data are for 1990–2010)

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 1998–2005)

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 2009 from the most recent year available)

Electricity generated using fossil fuel is use of coal, oil, and gas as a per-centage of total inputs to the generation of electricity. (International Energy Agency; data are for 2009)

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 2009)

Electric power consumption per capita is the production of power plants and combined heat and power plants, minus transmission, distribution, and

Glossary


transformation losses and own use by heat and power plants plus imports minus exports divided by midyear population. (International Energy Agency; data are for 2009)

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 2009)

Energy from biomass products and waste is energy from solid biomass, liquid biomass, biogas, industrial waste, and municipal waste as a percent-age of total energy use. (International Energy Agency; data are for 2009)

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 2009)

Food production index indicates the relative level of net food production compared with the base period 1999–2001. It covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value (See the Food and Agriculture Organization’s Production Yearbook for details; data are for 2009)

Forest area is land under natural or planted stands of trees, whether produc-tive or not. (Food and Agriculture Organization; data are for 2010)

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 2011, Primary data documentation.)

Freshwater withdrawal, total, is total water withdrawal, excluding evapora-tion losses from storage basins and including water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of internal renewable resources because river flows from other countries are not included, because extraction from nonrenewable aquifers or desalination plants is considerable, or because there is significant water reuse. (Food and Agriculture Organization and World Resources Institute; data are for various years; for details see World Development Indicators 2011, 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 2009)


GDP per unit of energy use is 2005 gross domestic product (GDP) in pur-chasing power parity (PPP) terms per kilogram of oil equivalent of energy use. PPP GDP is GDP converted to international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dol-lar has in the United States. (International Energy Agency and World Bank; data are for 2009)

GEF benefits index for biodiversity is a composite index of relative biodiver-sity potential for each country developed by the Global Environment Facility, based on the species represented in each country, their threat status, and the diversity of habitat types in each country. The index shown in the tables has been normalized so that values run from 0 (no biodiversity potential) to 100 (maximum biodiversity potential) (World Bank; estimates are for 2009)

GNI per capita is gross national income (GNI) divided by midyear population. GNI is gross domestic product plus net receipts of primary income (employee compensation and property income) from abroad. GNI per capita is in cur-rent U.S. dollars, converted using the World Bank Atlas method (see World Development Indicators 2011, Statistical methods). (World Bank, Organization for Economic Co-operation and Development, and United Nations; data are for 2009)

Gross savings are calculated as gross national income less total con-sumption, plus net transfers. (World Bank and Organization for Economic Co-operation and Development; data are for 2009)

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 2007)

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 2009)

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 2009)

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

Net forest depletion is the product of unit resource rents and the excess of 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 2009)

Glossary


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 2009)

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 2009)

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 2009)

Population density, rural, is rural population divided by arable land area. Rural population is estimated as the difference between the total population and urban population. (See urban population; data are for 2009)

Threatened species, birds, are the number of species of birds classified by the 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 2010)

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 2010)

Threatened species, higher plants, are the number of native vascular plant species classified by the IUCN as endangered, vulnerable, rare, indetermi-nate, out of danger, or insufficiently known. (World Conservation Monitoring Centre and IUCN; data are for 2010)

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 2010)

Readsector energy use per capita is the total energy consumption in the road sector divided by midyear population (International Energy Agency 2010; data are for 2009).

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 2009)

Urban population is the share of the midyear population living in areas defined as urban in each country (United Nations; data are for 2009)

Urban population growth is the exponential change in urban population for the period indicated. (United Nations; data are for 1990–2009)


World Bank 2011a. The Changing Wealth of Nations: Measuring Sustainable

Development in the New Millennium. Washington, D.C.: The World Bank.

———. 2011b. World Development Indicators 2011. Washington, D.C.: World Bank.

References

AFGHANISTAN ALBANIA ALGERIA ANGOLA ARGENTINA ARMENIA AZERBAIJAN BANGLADESH BELARUS BELIZE BENIN BHUTAN BOLIVIA BOSNIA AND HERZEGOVINA BOTSWANA BRAZIL BULGARIA BURKINA FASO BURUNDI CAMBODIA CAMEROON CAPE VERDE CENTRAL AFRICAN REPUBLIC CHAD CHILE CHINA COLOMBIA COMOROS DEMOCRATIC REPUBLIC OF CONGO REPUBLIC OF CONGO COSTA RICA CÔTE D’IVOIRE CROATIA DJIBOUTI DOMINICA DOMINICAN REPUBLIC ECUADOR ARAB REPUBLIC OF EGYPT EL SALVADOR ERITREA ETHIOPIA FIJI GABON THE GAMBIA GEORGIA GHANA GRENADA GUATEMALA GUINEA GUINEA-BISSAU GUYANA HAITI HONDURAS INDIA INDONESIA ISLAMIC REPUBLIC OF IRAN JAMAICA JORDAN KAZAKHSTAN KENYA KYRGYZ REPUBLIC LAO PEOPLE’S DEMOCRATIC REPUBLIC LATVIA LEBANON LESOTHO LIBERIA FORMER YUGOSLAV REPUBLIC OF MACEDONIA MADAGASCAR MALAWI MALAYSIA MALDIVES MALI MAURITANIA MAURITIUS MEXICO MOLDOVA MONGOLIA MONTENEGRO MOROCCO MOZAMBIQUE MYANMAR NEPAL NICARAGUA NIGER NIGERIA PAKISTAN PANAMA PAPUA NEW GUINEA PARAGUAY PERUPHILIPPINES POLAND ROMANIA RUSSIAN FEDERATION RWANDA SAMOA SÃO TOMÉ AND PRÍNCIPE SENEGAL SERBIA SEYCHELLESSIERRA LEONE SOLOMON ISLANDS SOMALIA SOUTH AFRICA SRILANKA ST. KITTS AND NEVIS ST. LUCIA ST. VINCENT AND THE GRENADINES SUDAN SWAZILAND TAJIKISTAN TANZANIA THAILAND TOGO TONGA TUNISIA TURKEY TURKMENISTAN UGANDA UKRAINE URUGUAY UZBEKISTAN VANUATU REPÚBLICA BOLIVARIANA DE VENEZUELA VIETNAM REPUBLIC OF YEMEN ZAMBIA ZIMBABWE

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