from the little green data book - world bank...africa south asia middle east & north africa...

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

55542

2010 THE LITTLE GREENDATA BOOK

Copyright ©2010 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 2010

ISBN: 978-0-8213-8245-5eISBN: 978-0-8213-8446-6

DOI: 10.1596/978-0-8213-8245-5SKU: 18245

The Little Green Data Book 2010 is a product of theDevelopment Data Group of the Development Economics Vice Presidency

and the Environment Department of the World Bank.

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

iiiThe Little Green Data Book 2010

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

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

Data notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . viii

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235

Contents

iv 2010 The Little Green Data Book

The Little Green Data Book 2010 is based on World Development Indicators

2010 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 2010. The financial assistance

of the Government of Sweden is also gratefully acknowledged.

The Little Green Data Book 2010 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, Jeff Brez, Lopamudra Chakraborti, Richard Fix,

Kirk Hamilton, Andreas Kopp, Alison Kwong, Glenn-Marie Lange, Roger Morier,

and Giovanni Ruta contributed to its preparation. Meta de Coquereaumont,

Christopher Trott, and Elaine Wilson of Communications Development

provided design, editing, and layout. Staff from External Affairs oversaw

publication and distribution of the book.

Acknowledgments

vThe Little Green Data Book 2010

ForewordWelcome to The Little Green Data Book 2010. Ten years ago we published the

first edition of what has come to be a key reference for many practitioners

in the environment and development field. In that 2000 edition, Kristalina

Georgieva and Shaida Badiee—then Directors of the Environment and the

Development Data Group, respectively—wrote that to achieve lasting results

in environmental management, “we need to start from a sound base of infor-

mation that helps us set priorities and measure progress.” Then, as today, we

believe that The Little Green Data Book is a step in this direction. Over the

past 10 years it has grown in presentation and outreach as its informative

value has maintained the high standards we set out to achieve.

Under the headings of agriculture, forests and biodiversity, energy, emissions

and pollution, water and sanitation, environment and health, and national

accounts aggregates, we compile 50 indicators for over 200 countries

each year. The presentation of this information allows an easy comparison

of country-level data with benchmark regional and income group values.

Combining different indicators, it is also possible to obtain more metrics

relevant to different users.

Over the past 10 years we have taken the pulse of the world’s environment,

and we have seen progress in some areas but regression in others. The

data also show wide disparities across regions. For example, urban air pol-

lution declined in most countries between 2000 and 2006 (the most recent

year for which data is available), with the greatest progress in low-income

and lower middle-income countries. But concentration levels are still nearly

three times higher in these countries than in high-income countries. We have

tracked how the world has become drier as water resources per capita have

diminished under the pressure of fast-growing population. Water availability

is below scarcity levels in the Middle East and North Africa and South Asia.

Forest cover has fallen in Latin America and the Caribbean, South Asia,

Urban air pollution, by income group, 2000 and 2006

Source: World Development Indicators data files.

0

25

50

75

100

Highincome

Uppermiddle income

Lowermiddle income

Lowincome

2000 2006Urban population-weighted particulate matter (PM10) concentration, micrograms per cubic meter

vi 2010 The Little Green Data Book

ForewordInternal freshwater resources per capita, by region, 2002 and 2008


0

5

10

15

20

25

30

Sub-SaharanAfrica

SouthAsia

Middle East& NorthAfrica

LatinAmerica &Caribbean

Europe& Central

Asia

East Asia& Pacific

2002 2008Thousands of cubic meters

Annual average change in forest area, by region, 2000–07


–50

–40

–30

–20

–10

0

10

Sub-SaharanAfrica

SouthAsia

Middle East& NorthAfrica

LatinAmerica &Caribbean

Europe& Central

Asia

East Asia& Pacific

Thousands of square kilometers

Energy from biomass products and waste, by income group, 2002 and 2007


0

10

20

30

40

50

Highincome

Uppermiddle income

Lowermiddle income

Lowincome

2002 2007Share of total energy use (percent)

viiThe Little Green Data Book 2010

and Sub-Saharan Africa. In developing countries the net loss of forest area

for 2000–07 is estimated at 80,000 square kilometers a year. Finally, the

lack of access to energy continues to be an important health risk factor in

the poorest countries, where nearly 50 percent of energy use comes from

biomass fuels and waste.

The Little Green Data Book also estimates adjusted net savings, which mea-

sures the annual changes in a country’s total wealth. The literature shows

that a positive adjusted net savings rate is a necessary condition—although

not a sufficient one—for sustained growth. Unfortunately, many economies

appear to be failing this practical test.

The Little Green Data Book 2010 is a knowledge resource that aids policy-

makers in using environmental data more effectively to support priority-setting

and improved development outcomes. It is a 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. As we have every year for 10 years, we wel-

come your suggestions on how to improve future editions and make them

even more useful.

Shaida Badiee James Warren Evans

Director Director

Development Data Group Environment Department

viii 2010 The Little Green Data Book

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 2010 family of products.

Data notes

1The Little Green Data Book 2010

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, Vanuatu, Vietnam.

Europe and Central Asia

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

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

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

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

Uzbekistan.

Latin America and the Caribbean

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

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

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

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

Suriname, Uruguay, Bolivarian Republic of Venezuela.

Middle East and North Africa

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

Jordan, Lebanon, Libya, Morocco, 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 ($)Urban population (% of total)Urban population growth (average annual %, 1990–2008)Population growth (average annual %, 1990–2008) AgricultureAgricultural land (% of 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 (% of land area)Deforestation (average annual %, 1990–2007)Nationally 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 (%, 1990–2006)Particulate matter (urban-pop.-weighted avg., μg/cu. m)Transport sector energy use per capita (kg of 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 aggregatesGross savings (% of GNI)Consumption of fixed capital (% of GNI)Education expenditure (% of GNI)Energy depletion (% of GNI)Mineral depletion (% of GNI)Net forest depletion (% of GNI)CO2 damage (% of GNI)Particulate emissions damage (% of GNI)Adjusted net savings (% of GNI)

2 2010 The Little Green Data Book

8,654502.21.3

381,036

116508

30.30.2

14.4

5.41,819

9.62,846

67.515.5

0.54.4

34.050

307

6,617

9.070867796604478

67

20.913.04.23.90.50.00.40.27.2

Population (millions) 6,697 Land area (1,000 sq. km) 129,611 GDP ($ billions) 61,063.3

World







2,644443.41.0

50509127552

28.50.1

14.7

3.61,295

12.81,883

82.214.7

0.93.8

135.969

113

4,940

10.274878196665975

29

47.310.12.07.21.50.01.10.7

28.6


East Asia & Pacific







7,350640.20.1

282,797

113144

38.40.07.8

3.72,948

2.13,95868.916.2

0.77.3

–30.027

376

11,867

7.260958899897994

22

24.812.1

4.112.10.60.00.80.23.2

Population (millions) 443 Land area (1,000 sq. km) 23,054 GDP ($ billions) 3,872.5

Europe & Central Asia







6,768792.01.5

363,452

125233

44.90.5

22.8

7.51,273

16.31,86638.255.8

0.32.6

40.035

317

24,004

2.071917397785186

23

22.411.84.46.31.80.00.30.36.3


Latin America & Caribbean







3,237572.62.0

232,896

120746

2.5–0.43.8

5.01,275

1.11,435

91.17.4

0.63.5

96.472

258

714

122.386888195745989

34

..10.54.4

18.61.50.10.70.4

..


Middle East & North Africa







963292.71.7

55496120628

16.7–0.15.5

5.048429.348278.617.0

0.51.1

118.97837

1,194

51.790878494332357

76

35.38.43.04.61.10.81.00.5

21.8


South Asia







1,077364.02.6

45330119353

26.10.7

12.4

3.266255.855067.016.9

0.50.8

37.45361

4,829

3.287584681312442

144

16.59.03.3

14.21.30.60.60.4

–6.2

Population (millions) 819 Land area (1,000 sq. km) 23,585 GDP ($ billions) 978.1

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 $975 or less

in 2008.

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

$975 but less than $11,906. Lower-middle-income and upper-middle-income

economies are separated at a GNI per capita of $3,855.

High-income economies are those with a GNI per capita of $11,906 or

more.

Euro area includes the member states of the Economic and Monetary

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

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

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

Spain.

Income group tables







523293.52.2

38318125666

24.70.7

11.9

3.2423

49.332441.641.9

0.40.5

–6.06537

5,004

9.488676086383352

118

25.97.93.47.81.01.00.70.3

10.7


Low income







3,251482.51.3

38763122479

32.30.2

12.9

4.41,24213.2

1,66673.819.8

0.63.3

49.257

154

6,351

8.577888195584375

57

31.610.93.38.81.30.10.80.4

12.6


Middle income







2,07341

3.01.4

50589123516

24.80.2

11.2

3.91,01316.3

1,31080.015.2

0.82.8

105.76997

3,154

8.781868194524169

64

41.19.62.38.11.40.21.10.6

22.4


Lower middle income







7,852751.51.0

303,399

120146

37.30.2

14.0

5.22,130

7.33,05263.427.5

0.55.2

–4.932

374

18,876

13.858948298826389

23

23.812.14.29.41.30.00.50.24.6


Upper middle income







2,780452.61.4

38688122520

30.80.3

12.7

4.31,12715.1

1,47872.520.6

0.62.8

46.558

137

6,118

3.278847694554173

73

31.410.83.38.71.30.10.80.4

12.5


Low and middle income







38,839730.60.4

4623,687

94188

37.7–0.717.1

8.23,789

5.66,963

51.59.1

0.38.43.823

742

2,905

22.338

100100100

..

..

..

4

..14.04.60.30.00.00.20.1

..


Euro area







39,688781.00.7

3828,475

101341

28.9–0.119.1

6.55,321

3.79,75363.111.1

0.412.718.0

261,166

9,305

10.443

10098

10010099

100

7

18.513.8

4.62.00.20.00.20.16.8


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 data calculated using GNI and GDP refer to the area

controlled by the government of the Republic of Cyprus. For more information,

see World Development Indicators 2010 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

administration pursuant to UN Security Council Resolution 1244 (1999).

Kosovo became a member of the World Bank on June 29, 2009, and its

data are shown where available.

Moldova

GNI and GDP data and data calculated using GNI and GDP exclude Transnistria.

For more information, see World Development Indicators 2010 or data.world-

bank.org.

Morocco

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

Spanish Sahara. For more information, see World Development Indicators

2010 or data.worldbank.org.

Tanzania

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

Tanzania only. For more information, see World Development Indicators 2010

or data.worldbank.org.

Country tables







Country data

South Asia

group

Low-income group

370 963 52324 29 29

4.0 2.7 3.52.5 1.7 2.2

59 55 38.. 496 318

122 120 125253 628 666

1.2 16.7 24.72.8 –0.1 0.70.2 5.5 11.91113

32

3.4

.. 5.0 3.2

.. 484 423

.. 29.3 49.3

.. 482 324

.. 78.6 41.6

.. 17.0 41.9

0.03 0.51 0.380.03 1.14 0.51

–74.0 118.9 –6.041 78 65.. 37 37

1,946 1,194 5,004

42.3 51.7 9.498 90 8822 87 6717 84 6037 94 8630 33 3825 23 3345 57 52

19.020.0257 76 118

.. 35.3 25.97.0 8.4 7.9

.. 3.0 3.40.0 4.6 7.80.0 1.1 1.03.4 0.8 1.00.1 1.0 0.70.2 0.5 0.3

.. 21.8 10.7

Population (millions) 29 Land area (1,000 sq. km) 652 GDP ($ billions) 10.6

Afghanistan







Country data

Europe & Central

Asia group

Lower middle-income group

3,840 7,350 2,07347 64 411.1 0.2 3.0

–0.3 0.1 1.4

41 28 501,663 2,797 589

115 113 123292 144 516

29.3 38.4 24.8–0.1 0.0 0.28.0 7.8 11.2

36

330

0.2

9.2 3.7 3.9694 2,948 1,0139.9 2.1 16.3

1,186 3,958 1,3102.5 68.9 80.0

97.5 16.2 15.2

0.2 0.7 0.81.4 7.3 2.8

–42.6 –30.0 105.744 27 69

221 376 97

8,588 11,867 3,154

6.4 7.2 8.762 60 8197 95 8697 88 8197 99 9497 89 5297 79 4198 94 69

1.07.314 22 64

18.0 24.8 41.110.1 12.1 9.62.8 4.1 2.31.7 12.1 8.10.0 0.6 1.40.0 0.0 0.20.3 0.8 1.10.2 0.2 0.68.5 3.2 22.4

Population (millions) 3.1 Land area (1,000 sq. km) 27 GDP ($ billions) 12.3

Albania







Country data

Middle East &

N. Africa group

Upper middle-income group

4,190 3,237 7,85265 57 753.0 2.6 1.51.7 2.0 1.0

17 23 302,305 2,896 3,399

136 120 120161 746 146

1.0 2.5 37.3–1.6 –0.4 0.25.0 3.8 14.0141123

32.9

6.7 5.0 5.21,089 1,275 2,130

0.2 1.1 7.3902 1,435 3,05299.4 91.1 63.4

0.6 7.4 27.5

0.6 0.6 0.54.0 3.5 5.2

68.2 96.4 –4.971 72 32

206 258 374

332 714 18,876

54.0 122.3 13.865 86 5885 88 9481 81 8287 95 9894 74 8287 59 6398 89 89

9.019.8

41 34 23

58.8 .. 23.810.9 10.5 12.14.5 4.4 4.2

29.9 18.6 9.40.2 1.5 1.30.1 0.1 0.00.6 0.7 0.50.2 0.4 0.2

21.4 .. 4.6


Algeria







Country data

East Asia & Pacific

group


.. 2,644 7,85292 44 75

.. 3.4 1.5

.. 1.0 1.0

25 50 30.. 509 3,399

128 127 120261 552 146

89.0 28.5 37.30.2 0.1 0.2

16.8 14.7 14.01881

0.3

.. 3.6 5.2

.. 1,295 2,130

.. 12.8 7.3

.. 1,883 3,052

.. 82.2 63.4

.. 14.7 27.5

.. 0.9 0.5

.. 3.8 5.2

.. 135.9 –4.9

.. 69 32

.. 113 374

.. 4,940 18,876

.. 10.2 13.8

.. 74 58

.. 87 94

.. 81 82

.. 96 98

.. 66 82

.. 59 63

.. 75 89

..

..

.. 29 23

.. 47.3 23.8

.. 10.1 12.1

.. 2.0 4.2

.. 7.2 9.4

.. 1.5 1.3

.. 0.0 0.0

.. 1.1 0.5

.. 0.7 0.2

.. 28.6 4.6

Population (thousands) 66 Land area (sq. km) 200 GDP ($ millions) ..

American Samoa







Country data

High-income group

36,970 39,68889 78

.. 1.0

.. 0.7

55 38.. 28,475.. 101

873 341

34.0 28.90.0 –0.16.9 19.1

2020

0.0

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.025 26

.. 1,166

.. 9,305

.. 10.4

.. 43100 100100 98100 100100 100100 99100 100

..

..4 7

.. 18.5

.. 13.82.2 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Population (thousands) 84 Land area (sq. km) 470 GDP ($ millions) 3.2

Andorra







3,340 1,077 2,07357 36 41

5.3 4.0 3.02.9 2.6 1.4

46 45 50251 330 589151 119 123235 353 516

47.2 26.1 24.80.2 0.7 0.28.3 12.4 11.214182226

8.3

8.1 3.2 3.9606 662 1,01363.4 55.8 16.3185 550 1,31015.5 67.0 80.084.5 16.9 15.2

0.1 0.5 0.80.6 0.8 2.8

138.9 37.4 105.766 53 6981 61 97

8,431 4,829 3,154

0.2 3.2 8.760 87 8151 58 8639 46 8162 81 9450 31 5216 24 4179 42 69

8.028.4220 144 64

24.1 16.5 41.112.9 9.0 9.6

2.3 3.3 2.354.6 14.2 8.1

0.0 1.3 1.40.0 0.6 0.20.2 0.6 1.11.3 0.4 0.6

–42.6 –6.2 22.4

Country data

Sub-Saharan Africa group



Angola







13,200 39,68830 781.0 1.01.9 0.7

30 383,290 28,475

104 101744 341

21.4 28.90.0 –0.1

10.3 19.121

144

0.7

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

0.3 0.45.0 12.7

41.5 18.012 26

.. 1,166

607 9,305

9.6 10.4.. 43

91 10089 9895 10095 10094 9998 100

..

..12 7

47.8 18.513.1 13.8

1.6 4.60.0 2.00.0 0.2

.. 0.00.3 0.2

.. 0.1

.. 6.8

Country data

High-income group

Population (thousands) 87 Land area (sq. km) 440 GDP ($ billions) 1.2

Antigua and Barbuda







7,190 6,768 7,85292 79 751.4 2.0 1.51.1 1.5 1.0

49 36 3012,050 3,452 3,399

125 125 12010 233 146

12.0 44.9 37.30.4 0.5 0.26.5 22.8 14.035493144

17.7

6.8 7.5 5.21,850 1,273 2,130

3.5 16.3 7.32,659 1,866 3,05265.9 38.2 63.426.5 55.8 27.5

0.4 0.3 0.54.4 2.6 5.2

54.1 40.0 –4.973 35 32

370 317 374

6,989 24,004 18,876

10.6 2.0 13.874 71 5896 91 9480 73 8298 97 9891 78 8283 51 6392 86 89

..

..16 23 23

25.5 22.4 23.811.8 11.8 12.14.5 4.4 4.28.6 6.3 9.40.4 1.8 1.30.0 0.0 0.00.5 0.3 0.51.1 0.3 0.27.7 6.3 4.6

Country data


group



Argentina







3,350 7,350 2,07364 64 41

–1.1 0.2 3.0–0.8 0.1 1.4

57 28 504,869 2,797 589

172 113 123273 144 516

9.7 38.4 24.81.4 0.0 0.28.2 7.8 11.2

912

41

0.2

5.7 3.7 3.9926 2,948 1,0130.0 2.1 16.3

1,692 3,958 1,31025.2 68.9 80.031.4 16.2 15.2

0.3 0.7 0.81.4 7.3 2.85.2 –30.0 105.759 27 6961 376 97

2,952 11,867 3,154

32.5 7.2 8.766 60 8198 95 8696 88 8199 99 9491 89 5281 79 4196 94 69

8.07.823 22 64

28.1 24.8 41.110.0 12.1 9.62.2 4.1 2.30.0 12.1 8.10.8 0.6 1.40.0 0.0 0.20.3 0.8 1.11.2 0.2 0.6

18.1 3.2 22.4

Country data

Europe & Central

Asia group



Armenia







.. 39,68847 78

2.4 1.02.8 0.7

11 38.. 28,475.. 101

2,775 341

2.2 28.90.0 –0.10.1 19.1

31

150

0.3

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.422.5 12.725.5 18.0

.. 26

.. 1,166

.. 9,305

.. 10.4

.. 43100 100100 98100 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Aruba







40,240 39,68889 781.5 1.01.3 0.7

55 3827,375 28,475

76 1015 341

21.3 28.90.2 –0.10.1 19.157498455

87.7

6.0 6.55,888 5,321

4.3 3.711,249 9,753

92.5 63.15.7 11.1

0.5 0.418.0 12.726.9 18.0

15 261,287 1,166

23,348 9,305

4.9 10.475 43

100 100100 98100 100100 100100 99100 100

..

..6 7

32.9 18.514.7 13.85.1 4.64.1 2.03.8 0.20.0 0.00.3 0.20.0 0.1

15.0 6.8

Country data

High-income group


Australia







45,900 39,68867 78

0.5 1.00.4 0.7

39 3822,651 28,475

95 101199 341

47.0 28.9–0.1 –0.128.0 19.1

4994

0.3

8.9 6.53,997 5,321

15.4 3.78,033 9,753

30.8 63.159.1 11.1

0.3 0.48.7 12.7

18.3 18.033 26

1,021 1,166

6,626 9,305

3.8 10.41 43

100 100100 98100 100100 100100 99100 100

..

..4 7

27.2 18.514.3 13.85.3 4.60.2 2.00.0 0.20.0 0.00.1 0.20.1 0.1

17.6 6.8

Country data

High-income group


Austria







3,830 7,350 2,07352 64 41

0.9 0.2 3.01.1 0.1 1.4

58 28 501,212 2,797 589

140 113 123223 144 516

11.3 38.4 24.80.0 0.0 0.27.3 7.8 11.2

71590

0.8

5.3 3.7 3.91,388 2,948 1,013

0.0 2.1 16.32,394 3,958 1,310

90.2 68.9 80.09.8 16.2 15.2

0.7 0.7 0.84.1 7.3 2.8

–29.7 –30.0 105.760 27 69

152 376 97

946 11,867 3,154

150.5 7.2 8.776 60 8178 95 8659 88 8195 99 9480 89 5270 79 4190 94 69

3.021.7

36 22 64

63.0 24.8 41.112.3 12.1 9.6

2.0 4.1 2.351.4 12.1 8.10.0 0.6 1.40.0 0.0 0.21.2 0.8 1.10.3 0.2 0.6

–0.1 3.2 22.4

Country data

Europe & Central

Asia group



Azerbaijan







Country data

High-income group

21,390 39,68884 781.8 1.01.5 0.7

1 3815,764 28,475

100 101688 341

51.4 28.90.0 –0.1

11.4 19.175

205

3.6

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.46.5 12.79.6 18.037 26

.. 1,166

60 9,305

.. 10.4

.. 4397 10086 9898 100

100 100100 99100 100

..

..13 7

.. 18.5

.. 13.83.8 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Population (thousands) 338 Land area (1,000 sq. km) 10 GDP ($ billions) 7.2

Bahamas, The







Country data

High-income group

25,420 39,68889 782.5 1.02.5 0.7

14 38.. 28,475

117 1014,375 341

0.7 28.9–5.5 –0.18.4 19.1

3460

0.0

2.7 6.511,551 5,321

0.0 3.714,153 9,753100.0 63.1

0.0 11.1

1.0 0.428.6 12.779.2 18.0

68 261,243 1,166

5 9,305

8,935.0 10.445 43

.. 100

.. 98100 100

.. 100

.. 99100 100

8.38.412 7

45.4 18.56.7 13.84.4 4.6

26.4 2.00.0 0.20.0 0.00.8 0.20.2 0.1

15.6 6.8


Bahrain







Country data

South Asia

group

Low-income group

520 963 52327 29 29

3.6 2.7 3.51.8 1.7 2.2

70 55 38405 496 318117 120 125

1,452 628 666

6.7 16.7 24.70.1 –0.1 0.72.2 5.5 11.9342812121.4

7.2 5.0 3.2163 484 423

33.3 29.3 49.3144 482 324

94.3 78.6 41.65.7 17.0 41.9

0.2 0.5 0.40.3 1.1 0.5

168.0 118.9 –6.0135 78 65

10 37 37

666 1,194 5,004

75.6 51.7 9.496 90 8880 87 6778 84 6085 94 8636 33 3832 23 3348 57 52

20.86.154 76 118

33.9 35.3 25.96.8 8.4 7.92.0 3.0 3.44.0 4.6 7.80.0 1.1 1.00.6 0.8 1.00.4 1.0 0.70.4 0.5 0.3

23.7 21.8 10.7


Bangladesh







Country data

High-income group

9,330 39,68840 781.0 1.0

–0.1 0.7

44 3815,621 28,475

116 101965 341

4.0 28.90.0 –0.10.1 19.1

31

152

0.4

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

0.3 0.45.3 12.7

24.6 18.040 26

.. 1,166

314 9,305

112.5 10.4.. 43

100 100100 98100 10099 100

100 9999 100

..

..11 7

.. 18.5

.. 13.86.4 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.20.0 0.1

.. 6.8


Barbados







5,360 7,350 7,85273 64 75

0.3 0.2 1.5–0.3 0.1 1.0

44 28 304,383 2,797 3,399

139 113 12047 144 146

39.0 38.4 37.3–0.4 0.0 0.26.5 7.8 14.0

4410

0.0

3.6 3.7 5.22,891 2,948 2,130

5.2 2.1 7.33,345 3,958 3,052

99.6 68.9 63.40.1 16.2 27.5

0.7 0.7 0.57.1 7.3 5.2

–38.1 –30.0 –4.96 27 32

237 376 374

3,834 11,867 18,876

7.5 7.2 13.830 60 58

100 95 9499 88 82

100 99 9893 89 8297 79 6391 94 89

..

..13 22 23

28.4 24.8 23.811.2 12.1 12.14.9 4.1 4.21.3 12.1 9.40.0 0.6 1.30.0 0.0 0.01.1 0.8 0.50.0 0.2 0.2

19.8 3.2 4.6

Country data

Europe & Central

Asia group



Belarus







44,570 39,68897 78

0.5 1.00.4 0.7

45 3837,354 28,475

48 10134 341

22.0 28.90.0 –0.13.2 19.1

3291

0.0

6.2 6.55,366 5,321

3.6 3.78,614 9,75339.4 63.1

0.4 11.1

0.3 0.410.2 12.7–0.4 18.0

22 26798 1,166

1,129 9,305

.. 10.4

.. 43

.. 100

.. 98100 100

.. 100

.. 99

.. 100

..

..5 7

.. 18.513.9 13.8

5.8 4.60.0 2.00.0 0.20.0 0.00.2 0.20.1 0.1

.. 6.8

Country data

High-income group


Belgium







3,740 6,768 2,07352 79 413.4 2.0 3.03.0 1.5 1.4

7 36 504,732 3,452 589

112 125 123217 233 516

72.5 44.9 24.80.0 0.5 0.2

44.5 22.8 11.273

22301.7

.. 7.5 3.9

.. 1,273 1,013

.. 16.3 16.3

.. 1,866 1,310

.. 38.2 80.0

.. 55.8 15.2

0.4 0.3 0.82.7 2.6 2.8

162.4 40.0 105.715 35 69

.. 317 97

51,364 24,004 3,154

0.9 2.0 8.7.. 71 81

91 91 8682 73 81

100 97 9447 78 5225 51 4171 86 69

6.711.0

19 23 64

15.7 22.4 41.111.9 11.8 9.65.6 4.4 2.30.0 6.3 8.10.0 1.8 1.40.0 0.0 0.20.5 0.3 1.10.0 0.3 0.68.8 6.3 22.4

Country data


group



Belize







700 1,077 52341 36 29

4.3 4.0 3.53.3 2.6 2.2

32 45 38661 330 318107 119 125184 353 666

20.1 26.1 24.72.3 0.7 0.7

23.2 12.4 11.9104

1514

0.2

3.9 3.2 3.2343 662 42361.5 55.8 49.3

72 550 32499.2 67.0 41.6

0.8 16.9 41.9

0.3 0.5 0.40.4 0.8 0.5

334.9 37.4 –6.046 53 6577 61 37

1,227 4,829 5,004

1.3 3.2 9.445 87 8865 58 6757 46 6078 81 8630 31 3811 24 3359 42 52

12.013.4121 144 118

.. 16.5 25.98.1 9.0 7.93.3 3.3 3.40.0 14.2 7.80.0 1.3 1.01.0 0.6 1.00.3 0.6 0.70.3 0.4 0.3

.. –6.2 10.7

Country data


Low-income group


Benin







.. 39,688100 780.3 1.00.3 0.7

20 38.. 28,475

96 1010 341

20.0 28.90.0 –0.1

14.4 19.141

124

1.2

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.48.8 12.7

–5.5 18.0.. 26.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Bermuda







1,900 963 2,07334 29 415.4 2.7 3.01.2 1.7 1.4

15 55 50507 496 589154 120 123352 628 516

83.8 16.7 24.8–0.3 –0.1 0.226.4 5.5 11.2

281707

1.1

.. 5.0 3.9

.. 484 1,013

.. 29.3 16.3

.. 482 1,310

.. 78.6 80.0

.. 17.0 15.2

0.2 0.5 0.80.6 1.1 2.8

197.1 118.9 105.726 78 69

.. 37 97

140,524 1,194 3,154

0.4 51.7 8.7.. 90 81

81 87 8679 84 8198 94 9452 33 5250 23 4171 57 69

..

..81 76 64

60.7 35.3 41.19.2 8.4 9.63.4 3.0 2.30.0 4.6 8.10.0 1.1 1.44.1 0.8 0.20.3 1.0 1.10.1 0.5 0.6

50.4 21.8 22.4

Country data

South Asia

group



Bhutan







Population (millions) 9.7 Land area (1,000 sq. km) 1,083 GDP ($ billions) 16.7

Country data


group


1,460 6,768 2,07366 79 413.0 2.0 3.02.1 1.5 1.4

34 36 50721 3,452 589113 125 12392 233 516

53.7 44.9 24.80.4 0.5 0.2

21.2 22.8 11.21929

071

12.5

6.6 7.5 3.9571 1,273 1,013

14.5 16.3 16.3515 1,866 1,310

56.5 38.2 80.040.4 55.8 15.2

0.3 0.3 0.81.2 2.6 2.8

107.2 40.0 105.794 35 69

163 317 97

31,868 24,004 3,154

0.5 2.0 8.781 71 8186 91 8669 73 8196 97 9443 78 5222 51 4154 86 69

22.024.8

54 23 64

29.9 22.4 41.19.5 11.8 9.64.7 4.4 2.3

27.6 6.3 8.10.8 1.8 1.40.0 0.0 0.20.5 0.3 1.10.9 0.3 0.6

–4.7 6.3 22.4

Bolivia







4,520 7,350 7,85247 64 75

0.3 0.2 1.5–0.7 0.1 1.0

42 28 3011,647 2,797 3,399

126 113 120196 144 146

42.7 38.4 37.30.1 0.0 0.20.8 7.8 14.0

46

271

0.4

4.5 3.7 5.21,483 2,948 2,130

3.3 2.1 7.32,381 3,958 3,05266.2 68.9 63.433.8 16.2 27.5

1.2 0.7 0.57.3 7.3 5.2

292.5 –30.0 –4.919 27 32

234 376 374

9,395 11,867 18,876

.. 7.2 13.8

.. 60 5899 95 9498 88 82

100 99 9895 89 8292 79 6399 94 89

2.08.915 22 23

41.0 24.8 23.810.4 12.1 12.1

.. 4.1 4.22.0 12.1 9.40.0 0.6 1.3

.. 0.0 0.01.2 0.8 0.50.1 0.2 0.2

.. 3.2 4.6

Country data

Europe & Central

Asia group



Bosnia and Herzegovina







6,640 1,077 7,85260 36 753.9 4.0 1.52.0 2.6 1.0

46 45 30469 330 3,399111 119 120312 353 146

20.7 26.1 37.30.9 0.7 0.2

30.1 12.4 14.06720

1.4

11.6 3.2 5.21,068 662 2,130

23.1 55.8 7.31,435 550 3,052100.0 67.0 63.4

0.0 16.9 27.5

0.2 0.5 0.52.6 0.8 5.2

119.8 37.4 –4.967 53 32

286 61 374

1,268 4,829 18,876

8.1 3.2 13.841 87 5896 58 9490 46 82

100 81 9847 31 8230 24 6360 42 89

40.06.531 144 23

46.3 16.5 23.811.5 9.0 12.16.6 3.3 4.20.5 14.2 9.43.2 1.3 1.30.0 0.6 0.00.3 0.6 0.50.2 0.4 0.2

37.2 –6.2 4.6

Country data




Botswana







7,300 6,768 7,85286 79 752.1 2.0 1.51.4 1.5 1.0

31 36 303,563 3,452 3,399

131 125 12048 233 146

55.7 44.9 37.30.6 0.5 0.2

29.6 22.8 14.082

12264

382100.0

7.4 7.5 5.21,239 1,273 2,130

30.7 16.3 7.32,171 1,866 3,052

8.8 38.2 63.484.0 55.8 27.5

0.2 0.3 0.51.9 2.6 5.2

68.8 40.0 –4.923 35 32

307 317 374

28,498 24,004 18,876

1.1 2.0 13.862 71 5891 91 9458 73 8297 97 9877 78 8237 51 6384 86 89

24.013.1

22 23 23

17.5 22.4 23.811.8 11.8 12.14.8 4.4 4.22.7 6.3 9.42.3 1.8 1.30.0 0.0 0.00.2 0.3 0.50.1 0.3 0.25.2 6.3 4.6

Country data


group



Brazil







27,050 39,68875 783.1 1.02.3 0.7

2 3874,363 28,475

140 1013,287 341

52.0 28.90.8 –0.1

59.3 19.135218

990.1

6.7 6.57,190 5,321

0.0 3.78,393 9,753100.0 63.1

0.0 11.1

0.3 0.415.6 12.7–7.9 18.0

54 26982 1,166

22,086 9,305

.. 10.4

.. 4399 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..7 7

.. 18.5

.. 13.83.6 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.20.1 0.1

.. 6.8

Country data

High-income group


Brunei Darussalam







5,490 7,350 7,85271 64 75

–0.4 0.2 1.5–0.7 0.1 1.0

47 28 306,806 2,797 3,399

72 113 12072 144 146

34.3 38.4 37.3–0.7 0.0 0.210.1 7.8 14.0

712170

0.8

3.8 3.7 5.22,641 2,948 2,130

3.7 2.1 7.34,456 3,958 3,052

59.1 68.9 63.46.7 16.2 27.5

0.7 0.7 0.56.2 7.3 5.2

–37.3 –30.0 –4.957 27 32

362 376 374

2,742 11,867 18,876

50.0 7.2 13.819 60 5899 95 9497 88 82

100 99 9899 89 8296 79 63

100 94 89

..

..11 22 23

14.1 24.8 23.811.6 12.1 12.14.1 4.1 4.21.1 12.1 9.40.8 0.6 1.30.0 0.0 0.00.9 0.8 0.50.9 0.2 0.22.9 3.2 4.6

Country data

Europe & Central

Asia group



Bulgaria







480 1,077 52320 36 295.0 4.0 3.53.0 2.6 2.2

41 45 38181 330 318123 119 125229 353 666

24.7 26.1 24.70.3 0.7 0.7

14.4 12.4 11.98502

0.3

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.05 0.46 0.380.06 0.82 0.5134.4 37.4 –6.0

84 53 65.. 61 37

849 4,829 5,004

6.4 3.2 9.486 87 8872 58 6766 46 6097 81 8613 31 38

6 24 3341 42 52

9.020.0169 144 118

.. 16.5 25.97.5 9.0 7.93.3 3.3 3.40.0 14.2 7.80.0 1.3 1.01.2 0.6 1.00.1 0.6 0.70.6 0.4 0.3

.. –6.2 10.7

Country data


Low-income group


Burkina Faso







Country data


Low-income group

140 1,077 52310 36 294.7 4.0 3.52.0 2.6 2.2

89 45 3870 330 318

101 119 125708 353 666

5.2 26.1 24.74.4 0.7 0.75.6 12.4 11.9

98

182

0.3

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.07 0.46 0.380.03 0.82 0.51

–34.9 37.4 –6.029 53 65

.. 61 37

1,283 4,829 5,004

2.9 3.2 9.477 87 8871 58 6770 46 6084 81 8641 31 3841 24 3344 42 52

13.0..

168 144 118

.. 16.5 25.95.6 9.0 7.95.1 3.3 3.40.0 14.2 7.80.6 1.3 1.0

10.9 0.6 1.00.1 0.6 0.70.1 0.4 0.3

.. –6.2 10.7


Burundi







640 2,644 52322 44 29

5.2 3.4 3.52.3 1.0 2.2

31 50 38375 509 318165 127 125298 552 666

56.7 28.5 24.71.5 0.1 0.7

24.0 14.7 11.937251831

3.5

4.8 3.6 3.2358 1,295 42370.5 12.8 49.3

94 1,883 32495.9 82.2 41.6

3.7 14.7 41.9

0.2 0.9 0.40.3 3.8 0.5

803.3 135.9 –6.046 69 6527 113 37

8,417 4,940 5,004

3.4 10.2 9.498 74 8865 87 6761 81 6080 96 8628 66 3819 59 3362 75 52

20.018.9

90 29 118

.. 47.3 25.98.3 10.1 7.91.7 2.0 3.40.0 7.2 7.80.0 1.5 1.00.2 0.0 1.00.4 1.1 0.70.3 0.7 0.3

.. 28.6 10.7

Country data

East Asia & Pacific

group

Low-income group


Cambodia







1,150 1,077 2,07357 36 41

4.3 4.0 3.02.5 2.6 1.4

19 45 50730 330 589113 119 123138 353 516

44.0 26.1 24.81.0 0.7 0.2

10.1 12.4 11.2411543

35512.5

5.1 3.2 3.9391 662 1,013

68.1 55.8 16.3265 550 1,31033.1 67.0 80.066.9 16.9 15.2

0.1 0.5 0.80.2 0.8 2.8

109.7 37.4 105.762 53 6938 61 97

14,630 4,829 3,154

0.4 3.2 8.774 87 8170 58 8647 46 8188 81 9451 31 5242 24 4158 42 69

11.018.9131 144 64

.. 16.5 41.18.8 9.0 9.62.6 3.3 2.37.8 14.2 8.10.0 1.3 1.40.0 0.6 0.20.1 0.6 1.10.4 0.4 0.6

.. –6.2 22.4

Country data




Cameroon







43,640 39,68880 781.3 1.01.0 0.7

7 3846,028 28,475

106 10114 341

34.1 28.90.0 –0.18.2 19.1121626

221.5

4.4 6.58,169 5,321

4.3 3.716,995 9,753

26.0 63.157.6 11.1

0.5 0.416.7 12.721.0 18.0

17 261,754 1,166

86,426 9,305

1.6 10.412 43

100 10099 98

100 100100 10099 99

100 100

..

..6 7

23.4 18.514.0 13.84.8 4.65.5 2.00.6 0.20.0 0.00.3 0.20.1 0.17.6 6.8

Country data

High-income group


Canada







2,800 1,077 2,07360 36 413.6 4.0 3.01.9 2.6 1.4

19 45 501,986 330 589

118 119 123404 353 516

21.0 26.1 24.8–2.3 0.7 0.20.0 12.4 11.2

34

182

2.4

.. 3.2 3.9

.. 662 1,013

.. 55.8 16.3

.. 550 1,310

.. 67.0 80.0

.. 16.9 15.2

0.2 0.5 0.80.6 0.8 2.8

250.0 37.4 105.7.. 53 69.. 61 97

610 4,829 3,154

.. 3.2 8.7

.. 87 81

.. 58 86

.. 46 81

.. 81 94

.. 31 52

.. 24 41

.. 42 69

..

..29 144 64

26.0 16.5 41.110.5 9.0 9.65.0 3.3 2.30.0 14.2 8.10.0 1.3 1.40.0 0.6 0.20.2 0.6 1.1

.. 0.4 0.6

.. –6.2 22.4


Country data



Cape Verde







.. 39,688100 784.0 1.04.0 0.7

12 38.. 28,475

102 1010 341

47.7 28.90.0 –0.1

58.0 19.111

142

0.6

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.49.8 12.7

104.3 18.024 26

.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Cayman Islands







410 1,077 52339 36 292.4 4.0 3.52.2 2.6 2.2

8 45 38409 330 318104 119 125136 353 666

36.4 26.1 24.70.1 0.7 0.7

18.2 12.4 11.9750

151.5

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.09 0.46 0.380.06 0.82 0.5125.9 37.4 –6.0

44 53 65.. 61 37

33,119 4,829 5,004

0.0 3.2 9.44 87 88

66 58 6751 46 6090 81 8631 31 3825 24 3340 42 52

10.026.5173 144 118

1.8 16.5 25.97.4 9.0 7.91.3 3.3 3.40.0 14.2 7.80.0 1.3 1.00.0 0.6 1.00.1 0.6 0.70.2 0.4 0.3

–4.6 –6.2 10.7


Country data


Low-income group

Central African Republic







540 1,077 52327 36 29

4.6 4.0 3.53.2 2.6 2.2

39 45 38220 330 318110 119 125182 353 666

9.3 26.1 24.70.6 0.7 0.79.0 12.4 11.912

702

2.2

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.03 0.46 0.380.04 0.82 0.51

170.0 37.4 –6.0109 53 65

.. 61 37

1,412 4,829 5,004

1.5 3.2 9.483 87 8848 58 6740 46 6071 81 869 31 384 24 33

23 42 52

9.231.2209 144 118

3.7 16.5 25.910.0 9.0 7.91.2 3.3 3.4

43.7 14.2 7.80.0 1.3 1.00.0 0.6 1.00.0 0.6 0.71.0 0.4 0.3

–49.9 –6.2 10.7

Country data


Low-income group


Chad







Country data

High-income group


Channel Islands

68,610 39,68831 78

0.2 1.00.3 0.7

38 38.. 28,475.. 101

3,031 341

4.2 28.90.0 –0.1

.. 19.1

..

..

..

..0.0

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.0

.. 26

.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8







9,370 6,768 7,85288 79 751.7 2.0 1.51.3 1.5 1.0

21 36 306,341 3,452 3,399

115 125 120152 233 146

21.8 44.9 37.3–0.4 0.5 0.218.8 22.8 14.0

21321840

15.3

7.1 7.5 5.21,851 1,273 2,130

15.4 16.3 7.33,318 1,866 3,05255.2 38.2 63.439.5 55.8 27.5

0.3 0.3 0.53.6 2.6 5.2

69.4 40.0 –4.948 35 32

494 317 374

53,137 24,004 18,876

1.4 2.0 13.864 71 5895 91 9472 73 8298 97 9894 78 8274 51 6397 86 89

..

..9 23 23

24.2 22.4 23.812.9 11.8 12.1

3.6 4.4 4.20.3 6.3 9.4

14.3 1.8 1.30.0 0.0 0.00.3 0.3 0.50.4 0.3 0.2

–0.4 6.3 4.6


Country data


group


Chile







2,940 2,644 2,07343 44 413.4 3.4 3.00.9 1.0 1.4

59 50 50478 509 589125 127 123542 552 516

22.0 28.5 24.8–1.6 0.1 0.215.1 14.7 11.2

748570

44666.6

3.4 3.6 3.91,484 1,295 1,013

9.9 12.8 16.32,332 1,883 1,310

83.0 82.2 80.014.8 14.7 15.2

1.0 0.9 0.84.7 3.8 2.8

152.8 135.9 105.773 69 69

106 113 97

2,134 4,940 3,154

22.4 10.2 8.768 74 8188 87 8681 81 8198 96 9465 66 5259 59 4174 75 69

..

..21 29 64

53.9 47.3 41.110.1 10.1 9.61.8 2.0 2.36.7 7.2 8.11.7 1.5 1.40.0 0.0 0.21.3 1.1 1.10.8 0.7 0.6

35.1 28.6 22.4

Country data

East Asia & Pacific

group



China







4,620 6,768 7,85275 79 75

2.2 2.0 1.51.7 1.5 1.0

38 36 303,114 3,452 3,399

98 125 120573 233 146

54.6 44.9 37.30.1 0.5 0.2

26.2 22.8 14.0528631

22351.5

12.3 7.5 5.2655 1,273 2,13015.5 16.3 7.3977 1,866 3,052

18.5 38.2 63.480.4 55.8 27.5

0.2 0.3 0.51.5 2.6 5.2

10.6 40.0 –4.922 35 32

164 317 374

47,611 24,004 18,876

0.5 2.0 13.846 71 5893 91 9477 73 8299 97 9878 78 8258 51 6385 86 89

9.613.9

20 23 23

20.2 22.4 23.811.4 11.8 12.13.6 4.4 4.2

10.0 6.3 9.40.6 1.8 1.30.0 0.0 0.00.2 0.3 0.50.1 0.3 0.21.5 6.3 4.6

Country data


group



Colombia







750 1,077 52328 36 29

2.2 4.0 3.52.2 2.6 2.2

81 45 38435 330 318106 119 125565 353 666

2.4 26.1 24.75.7 0.7 0.7

.. 12.4 11.95875

2.3

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.1 0.5 0.40.1 0.8 0.5

14.3 37.4 –6.033 53 65

.. 61 37

1,910 4,829 5,004

0.8 3.2 9.4.. 87 88

85 58 6781 46 6091 81 8635 31 3826 24 3349 42 52

10.018.3105 144 118

11.2 16.5 25.98.1 9.0 7.94.2 3.3 3.40.0 14.2 7.80.0 1.3 1.00.1 0.6 1.00.1 0.6 0.70.0 0.4 0.37.0 –6.2 10.7

Country data


Low-income group

Population (thousands) 644 Land area (1,000 sq. km) 2 GDP ($ millions) 530

Comoros







150 1,077 52334 36 294.2 4.0 3.53.1 2.6 2.2

10 45 38164 330 318

97 119 125622 353 666

58.7 26.1 24.70.3 0.7 0.7

12.2 12.4 11.929312565

19.9

1.0 3.2 3.2289 662 42392.7 55.8 49.3

97 550 3240.3 67.0 41.6

99.7 16.9 41.9

0.1 0.5 0.40.04 0.82 0.51

–45.9 37.4 –6.047 53 653 61 37

14,395 4,829 5,004

0.0 3.2 9.431 87 8846 58 6729 46 6082 81 8631 31 3825 24 3342 42 52

11.022.7199 144 118

9.4 16.5 25.96.7 9.0 7.90.9 3.3 3.43.1 14.2 7.82.3 1.3 1.00.0 0.6 1.00.2 0.6 0.70.6 0.4 0.3

–2.5 –6.2 10.7


Country data


Low-income group

Congo, Dem. Rep.







1,790 1,077 2,07361 36 41

2.8 4.0 3.02.2 2.6 1.4

31 45 50.. 330 589

122 119 123280 353 516

65.7 26.1 24.80.1 0.7 0.2

10.3 12.4 11.2113

15353.6

9.9 3.2 3.9357 662 1,013

55.9 55.8 16.3135 550 1,31017.7 67.0 80.082.3 16.9 15.2

0.1 0.5 0.80.4 0.8 2.8

23.1 37.4 105.764 53 69

106 61 97

62,516 4,829 3,154

0.0 3.2 8.79 87 81

71 58 8635 46 8195 81 9420 31 5221 24 4119 42 69

..

..127 144 64

26.7 16.5 41.114.1 9.0 9.62.3 3.3 2.3

71.2 14.2 8.10.0 1.3 1.40.0 0.6 0.20.2 0.6 1.10.6 0.4 0.6

–57.1 –6.2 22.4

Country data




Congo, Rep.







6,060 6,768 7,85263 79 753.4 2.0 1.52.1 1.5 1.0

54 36 305,593 3,452 3,399

122 125 120831 233 146

46.9 44.9 37.30.4 0.5 0.2

31.0 22.8 14.08

1719

1119.7

9.6 7.5 5.21,070 1,273 2,130

17.7 16.3 7.31,863 1,866 3,052

8.0 38.2 63.474.8 55.8 27.5

0.2 0.3 0.51.8 2.6 5.2

165.8 40.0 –4.936 35 32

323 317 374

25,209 24,004 18,876

2.4 2.0 13.853 71 5898 91 9496 73 8299 97 9896 78 8295 51 6396 86 89

..

..11 23 23

15.9 22.4 23.811.5 11.8 12.15.0 4.4 4.20.0 6.3 9.40.0 1.8 1.30.1 0.0 0.00.2 0.3 0.50.1 0.3 0.29.1 6.3 4.6

Country data


group



Costa Rica







980 1,077 2,07349 36 413.9 4.0 3.02.7 2.6 1.4

64 45 50888 330 589114 119 123373 353 516

32.8 26.1 24.8–0.1 0.7 0.221.1 12.4 11.2

241419

1053.4

3.1 3.2 3.9496 662 1,01376.4 55.8 16.3178 550 1,310

66.0 67.0 80.031.9 16.9 15.2

0.2 0.5 0.80.3 0.8 2.8

18.7 37.4 105.736 53 6921 61 97

3,819 4,829 3,154

1.2 3.2 8.765 87 8181 58 8666 46 8198 81 9424 31 5212 24 4138 42 69

4.020.1114 144 64

12.7 16.5 41.19.0 9.0 9.64.7 3.3 2.36.2 14.2 8.10.0 1.3 1.40.0 0.6 0.20.2 0.6 1.10.3 0.4 0.61.7 –6.2 22.4

Country data




Côte d’Ivoire







13,580 39,68857 78

–0.1 1.0–0.4 0.7

22 3816,144 28,475

98 101224 341

39.6 28.9–0.1 –0.17.5 19.1

71146

10.6

7.5 6.52,101 5,321

3.5 3.73,738 9,75364.6 63.135.1 11.1

0.4 0.45.3 12.7

–5.4 18.030 26

480 1,166

8,499 9,305

.. 10.4

.. 4399 10098 98

100 10099 10098 9999 100

..11.3

6 7

21.8 18.512.9 13.84.3 4.61.3 2.00.0 0.20.2 0.00.3 0.20.2 0.1

11.3 6.8

Country data

High-income group


Croatia







.. 6,768 7,85276 79 75

0.5 2.0 1.50.3 1.5 1.0

60 36 30.. 3,452 3,399

83 125 12076 233 146

25.7 44.9 37.3–1.9 0.5 0.218.8 22.8 14.0

141728

16312.5

.. 7.5 5.2884 1,273 2,13013.1 16.3 7.3

1,309 1,866 3,05297.4 38.2 63.40.7 55.8 27.5

.. 0.3 0.52.6 2.6 5.2

–11.1 40.0 –4.917 35 3227 317 374

3,402 24,004 18,876

21.5 2.0 13.869 71 5891 91 9478 73 8295 97 9898 78 8295 51 6399 86 89

..

..6 23 23

.. 22.4 23.8

.. 11.8 12.1

.. 4.4 4.2

.. 6.3 9.4

.. 1.8 1.3

.. 0.0 0.0

.. 0.3 0.5

.. 0.3 0.2

.. 6.3 4.6

Country data


group


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

Cuba







26,940 39,68870 781.6 1.01.3 0.7

17 389,948 28,475

91 101225 341

18.9 28.9–0.5 –0.110.8 19.1

55

127

0.5

7.8 6.52,854 5,321

1.1 3.75,441 9,75399.9 63.1

0.0 11.1

0.4 0.49.2 12.7

67.4 18.044 26

774 1,166

914 9,305

31.6 10.4.. 43

100 100100 98100 100100 100100 99100 100

..

..4 7

5.6 18.514.4 13.86.5 4.60.0 2.00.0 0.20.0 0.00.3 0.20.3 0.1

–2.8 6.8


Country data

High-income group

Cyprus







16,650 39,68874 78

–0.1 1.00.0 0.7

55 385,275 28,475

96 10190 341

34.3 28.9–0.1 –0.115.8 19.1

2654

0.1

5.2 6.54,428 5,321

4.6 3.76,496 9,75366.3 63.1

2.4 11.1

0.5 0.411.2 12.7

–29.4 18.021 26

612 1,166

1,272 9,305

19.6 10.42 43

100 100100 98100 10099 10098 99

100 100

..

..4 7

24.2 18.513.8 13.8

4.4 4.60.7 2.00.0 0.20.0 0.00.5 0.20.0 0.1

13.4 6.8

Country data

High-income group


Czech Republic







58,800 39,68887 78

0.5 1.00.4 0.7

63 3830,492 28,475

102 10132 341

11.9 28.9–0.8 –0.15.7 19.1

22

133

0.2

9.6 6.53,598 5,321

14.8 3.76,670 9,753

71.7 63.10.1 11.1

0.3 0.49.9 12.77.0 18.019 26

854 1,166

1,099 9,305

21.2 10.443 43

100 100100 98100 100100 100100 99100 100

..

..4 7

23.6 18.514.2 13.8

7.4 4.63.0 2.00.0 0.20.0 0.00.1 0.20.0 0.1

13.7 6.8

Country data

High-income group


Denmark







1,130 3,237 2,07387 57 413.1 2.6 3.02.3 2.0 1.4

73 23 5080 2,896 589

153 120 1238,407 746 516

0.2 2.5 24.80.0 –0.4 0.20.0 3.8 11.2

87

142

0.5

.. 5.0 3.9

.. 1,275 1,013

.. 1.1 16.3

.. 1,435 1,310

.. 91.1 80.0

.. 7.4 15.2

0.3 0.6 0.80.6 3.5 2.8

22.0 96.4 105.745 72 69

.. 258 97

360 714 3,154

6.3 122.3 8.7.. 86 81

92 88 8654 81 8198 95 9467 74 5211 59 4176 89 69

..

..95 34 64

.. .. 41.17.8 10.5 9.63.6 4.4 2.30.0 18.6 8.10.0 1.5 1.40.0 0.1 0.20.4 0.7 1.11.2 0.4 0.6

.. .. 22.4

Country data

Middle East &

N. Africa group



Djibouti







4,750 6,768 7,85274 79 75

0.6 2.0 1.50.1 1.5 1.0

31 36 306,229 3,452 3,399

99 125 120385 233 146

60.7 44.9 37.30.6 0.5 0.2

26.7 22.8 14.033

1511

0.9

.. 7.5 5.2

.. 1,273 2,130

.. 16.3 7.3

.. 1,866 3,052

.. 38.2 63.4

.. 55.8 27.5

0.2 0.3 0.51.6 2.6 5.2

100.0 40.0 –4.926 35 32

.. 317 374

.. 24,004 18,876

.. 2.0 13.8

.. 71 5897 91 9490 73 82

100 97 9884 78 8275 51 6386 86 89

..

..11 23 23

4.2 22.4 23.811.3 11.8 12.13.9 4.4 4.20.0 6.3 9.40.0 1.8 1.30.0 0.0 0.00.3 0.3 0.5

.. 0.3 0.2

.. 6.3 4.6

Country data


group


Population (thousands) 73 Land area (sq. km) 750 GDP ($ millions) 357

Dominica







4,330 6,768 7,85269 79 752.9 2.0 1.51.7 1.5 1.0

52 36 304,053 3,452 3,399

137 125 120380 233 146

28.5 44.9 37.30.0 0.5 0.2

28.5 22.8 14.06

1415306.0

9.0 7.5 5.2804 1,273 2,13018.0 16.3 7.3

1,378 1,866 3,05290.3 38.2 63.4

9.4 55.8 27.5

0.3 0.3 0.52.1 2.6 5.2

112.7 40.0 –4.920 35 32

205 317 374

2,139 24,004 18,876

16.1 2.0 13.866 71 5895 91 9491 73 8297 97 9879 78 8274 51 6381 86 89

20.020.1

33 23 23

9.0 22.4 23.811.1 11.8 12.13.5 4.4 4.20.0 6.3 9.41.3 1.8 1.30.0 0.0 0.00.4 0.3 0.50.0 0.3 0.2

–0.3 6.3 4.6

Country data


group



Dominican Republic







3,690 6,768 2,07366 79 412.5 2.0 3.01.5 1.5 1.4

27 36 501,972 3,452 589

112 125 123392 233 516

37.8 44.9 24.81.6 0.5 0.2

25.4 22.8 11.2436915

1,83929.3

7.9 7.5 3.9885 1,273 1,0136.2 16.3 16.3

788 1,866 1,31047.9 38.2 80.052.1 55.8 15.2

0.3 0.3 0.82.4 2.6 2.8

86.1 40.0 105.725 35 69

320 317 97

32,379 24,004 3,154

3.9 2.0 8.782 71 8195 91 8691 73 8198 97 9484 78 5272 51 4191 86 69

57.219.9

25 23 64

31.8 22.4 41.110.8 11.8 9.6

1.4 4.4 2.321.1 6.3 8.10.4 1.8 1.40.0 0.0 0.20.5 0.3 1.10.1 0.3 0.60.4 6.3 22.4

Country data


group



Ecuador







1,800 3,237 2,07343 57 411.8 2.6 3.01.9 2.0 1.4

4 23 502,839 2,896 589

115 120 1231,521 746 516

0.1 2.5 24.8–2.8 –0.4 0.27.7 3.8 11.21710242

2.9

5.7 5.0 3.9840 1,275 1,0132.2 1.1 16.3

1,384 1,435 1,31086.9 91.1 80.012.4 7.4 15.2

0.5 0.6 0.82.1 3.5 2.8

119.6 96.4 105.7119 72 69151 258 97

22 714 3,154

3794.4 122.3 8.786 86 8198 88 8698 81 8199 95 9466 74 5252 59 4185 89 69

9.018.4

23 34 64

23.5 .. 41.19.3 10.5 9.64.4 4.4 2.3

14.5 18.6 8.10.5 1.5 1.40.2 0.1 0.20.9 0.7 1.10.5 0.4 0.62.1 .. 22.4

Country data

Middle East &

N. Africa group



Egypt, Arab Rep.







3,460 6,768 2,07361 79 41

1.9 2.0 3.00.8 1.5 1.4

75 36 502,628 3,452 589

115 125 123355 233 516

13.9 44.9 24.81.5 0.5 0.21.3 22.8 11.2

537

260.9

7.7 7.5 3.9800 1,273 1,01330.7 16.3 16.3939 1,866 1,31045.7 38.2 80.030.0 55.8 15.2

0.2 0.3 0.81.1 2.6 2.8

146.8 40.0 105.733 35 69

151 317 97

2,907 24,004 3,154

7.2 2.0 8.759 71 8184 91 8668 73 8194 97 9486 78 5280 51 4190 86 69

42.019.8

18 23 64

7.9 22.4 41.110.5 11.8 9.63.3 4.4 2.30.0 6.3 8.10.0 1.8 1.40.4 0.0 0.20.2 0.3 1.10.1 0.3 0.6

–0.1 6.3 22.4

Country data


group



El Salvador







14,980 39,68839 78

3.8 1.03.1 0.7

12 381,025 28,475

95 101300 341

57.1 28.90.9 –0.1

18.5 19.118

513631.5

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

0.3 0.47.0 12.7

3,500.0 18.08 26.. 1,166

40,485 9,305

0.4 10.4.. 43

43 10042 9845 10051 10046 9960 100

..

..148 7

55.8 18.520.7 13.8

1.1 4.674.2 2.00.0 0.20.0 0.00.4 0.20.0 0.1

–38.4 6.8

Country data

High-income group


Equatorial Guinea







300 1,077 52321 36 29

4.0 4.0 3.52.5 2.6 2.2

75 45 38119 330 318102 119 125596 353 666

15.3 26.1 24.70.2 0.7 0.74.3 12.4 11.9

99

143

0.8

4.0 3.2 3.2151 662 423

73.5 55.8 49.3.. 550 324

99.3 67.0 41.60.0 16.9 41.9

0.2 0.5 0.40.1 0.8 0.5

.. 37.4 –6.056 53 65

8 61 37

586 4,829 5,004

20.8 3.2 9.495 87 8860 58 6757 46 6074 81 865 31 383 24 33

14 42 52

19.023.6

58 144 118

.. 16.5 25.96.9 9.0 7.91.9 3.3 3.40.0 14.2 7.80.0 1.3 1.00.8 0.6 1.00.3 0.6 0.70.3 0.4 0.3

.. –6.2 10.7

Country data


Low-income group


Eritrea







14,570 39,68869 78

–1.0 1.0–0.9 0.7

19 382,940 28,475

127 10169 341

54.3 28.9–0.4 –0.146.8 19.1

1340

0.1

4.7 6.54,198 5,321

10.5 3.76,273 9,753

98.6 63.10.2 11.1

0.7 0.413.0 12.7

–37.9 18.013 26

605 1,166

9,475 9,305

1.2 10.45 43

100 10099 98

100 10095 10094 9996 100

..

..6 7

20.1 18.513.5 13.8

4.6 4.61.5 2.00.0 0.20.0 0.00.7 0.20.0 0.19.0 6.8

Country data

High-income group


Estonia







Country data


Low-income group

280 1,077 52317 36 29

4.5 4.0 3.52.9 2.6 2.2

35 45 38199 330 318135 119 125467 353 666

12.7 26.1 24.70.9 0.7 0.7

17.5 12.4 11.93122

2228.4

2.6 3.2 3.2290 662 423

90.2 55.8 49.340 550 3243.8 67.0 41.6

96.2 16.9 41.9

0.1 0.5 0.40.08 0.82 0.5199.0 37.4 –6.0

68 53 6515 61 37

1,551 4,829 5,004

4.6 3.2 9.494 87 8842 58 6731 46 6096 81 8611 31 388 24 33

27 42 52

12.623.6109 144 118

17.3 16.5 25.96.7 9.0 7.93.7 3.3 3.40.0 14.2 7.80.3 1.3 1.04.7 0.6 1.00.2 0.6 0.70.2 0.4 0.38.9 –6.2 10.7


Ethiopia







.. 39,68841 78

1.8 1.00.1 0.7

2 38.. 28,475

67 101953 341

0.1 28.90.0 –0.1

.. 19.1

..0..0

0.3

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.414.0 12.78.8 18.014 26

.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Faeroe Islands







4,010 2,644 7,85252 44 752.1 3.4 1.50.9 1.0 1.0

23 50 301,907 509 3,399

92 127 120238 552 146

54.7 28.5 37.3–0.1 0.1 0.22.2 14.7 14.0

61011663.9

.. 3.6 5.2

.. 1,295 2,130

.. 12.8 7.3

.. 1,883 3,052

.. 82.2 63.4

.. 14.7 27.5

0.4 0.9 0.51.9 3.8 5.2

96.9 135.9 –4.922 69 32

.. 113 374

34,041 4,940 18,876

0.2 10.2 13.8.. 74 58

47 87 9451 81 8243 96 9871 66 8255 59 6387 75 89

..

..18 29 23

–1.2 47.3 23.810.6 10.1 12.16.0 2.0 4.20.0 7.2 9.40.9 1.5 1.30.0 0.0 0.00.3 1.1 0.50.1 0.7 0.2

–7.1 28.6 4.6

Country data

East Asia & Pacific

group



Fiji







47,600 39,68863 780.5 1.00.4 0.7

8 3840,031 28,475

102 10187 341

74.0 28.9–0.1 –0.19.3 19.1

1451

0.2

4.8 6.56,895 5,321

20.1 3.717,162 9,753

31.5 63.117.4 11.1

0.4 0.412.7 12.730.8 18.0

18 26874 1,166

20,232 9,305

2.3 10.43 43

100 100100 98100 100100 100100 99100 100

..

..3 7

24.8 18.514.1 13.85.6 4.60.0 2.00.1 0.20.0 0.00.2 0.20.0 0.1

16.0 6.8

Country data

High-income group


Finland







42,000 39,68877 78

0.8 1.00.5 0.7

54 3848,983 28,475

93 10177 341

28.5 28.9–0.4 –0.115.4 19.1

96

318

5.3

7.4 6.54,258 5,321

5.1 3.77,772 9,75310.0 63.110.3 11.1

0.2 0.46.2 12.7

–3.8 18.013 26

736 1,166

2,882 9,305

22.4 10.410 43

100 100100 98100 100

.. 100

.. 99

.. 100

..

..4 7

18.7 18.513.9 13.8

5.1 4.60.0 2.00.0 0.20.0 0.00.1 0.20.0 0.19.8 6.8

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

Population (millions)a 62 Land area (1,000 sq. km) 548 GDP ($ billions) 2,856.6

Country data

High-income group

France







16,080 39,68852 781.3 1.01.7 0.7

12 38.. 28,475

112 1014,227 341

28.7 28.90.0 –0.11.1 19.1

1321347

4.6

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.43.2 12.7

30.2 18.0.. 26.. 1,166

38,120 9,305

.. 10.4

.. 43100 100100 98100 100

98 10097 9999 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


French Polynesia







7,320 1,077 7,85285 36 753.6 4.0 1.52.5 2.6 1.0

20 45 301,835 330 3,399

103 119 12068 353 146

84.4 26.1 37.30.0 0.7 0.2

16.5 12.4 14.013

521

1083.0

10.3 3.2 5.21,300 662 2,130

56.6 55.8 7.31,066 550 3,05256.2 67.0 63.443.4 16.9 27.5

0.1 0.5 0.51.5 0.8 5.2

–66.2 37.4 –4.98 53 32

117 61 374

115,340 4,829 18,876

0.1 3.2 13.842 87 5887 58 9447 46 8295 81 9836 31 8230 24 6337 42 89

13.015.7

77 144 23

48.8 16.5 23.813.9 9.0 12.1

3.1 3.3 4.234.3 14.2 9.4

0.0 1.3 1.30.0 0.6 0.00.1 0.6 0.50.0 0.4 0.23.6 –6.2 4.6


Country data



Gabon







400 1,077 52356 36 295.6 4.0 3.53.4 2.6 2.2

81 45 38266 330 318

66 119 125206 353 666

47.5 26.1 24.7–0.4 0.7 0.72.0 12.4 11.9

95

164

0.1

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.2 0.5 0.40.2 0.8 0.5

75.0 37.4 –6.086 53 65

.. 61 37

1,857 4,829 5,004

1.0 3.2 9.465 87 8886 58 6781 46 6091 81 8652 31 3855 24 3350 42 52

8.021.5106 144 118

11.1 16.5 25.97.9 9.0 7.92.0 3.3 3.40.0 14.2 7.80.0 1.3 1.00.6 0.6 1.00.4 0.6 0.70.4 0.4 0.33.9 –6.2 10.7

Country data


Low-income group

Population (millions) 1.7 Land area (1,000 sq. km) 10 GDP ($ millions) 811

Gambia, The







2,500 7,350 2,07353 64 41

–1.6 0.2 3.0–1.3 0.1 1.4

36 28 501,955 2,797 589

85 113 123446 144 516

39.7 38.4 24.80.0 0.0 0.23.9 7.8 11.2101012

00.6

5.8 3.7 3.9767 2,948 1,01311.8 2.1 16.3

1,620 3,958 1,31018.2 68.9 80.081.8 16.2 15.2

0.3 0.7 0.81.3 7.3 2.8

–68.1 –30.0 105.747 27 69

162 376 97

13,339 11,867 3,154

2.8 7.2 8.765 60 8199 95 8697 88 81

100 99 9493 89 5292 79 4194 94 69

4.06.030 22 64

8.3 24.8 41.110.1 12.1 9.62.8 4.1 2.30.2 12.1 8.10.0 0.6 1.40.0 0.0 0.20.3 0.8 1.10.7 0.2 0.6

–0.3 3.2 22.4

Country data

Europe & Central

Asia group



Georgia







42,710 39,68874 78

0.2 1.00.2 0.7

49 3828,764 28,475

96 101183 341

31.8 28.9–0.2 –0.156.2 19.1

66

20120.6

8.2 6.54,027 5,321

6.8 3.77,184 9,75362.7 63.13.3 11.1

0.3 0.49.8 12.7

–16.4 18.019 26

670 1,166

1,301 9,305

44.0 10.420 43

100 100100 98100 100100 100100 99100 100

..

..4 7

.. 18.513.8 13.8

4.3 4.60.3 2.00.0 0.20.0 0.00.2 0.20.0 0.1

.. 6.8

Country data

High-income group

Population (millions) 82 Land area (1,000 sq. km) 349 GDP ($ billions) 3,649.5

Germany







630 1,077 52350 36 29

4.2 4.0 3.52.5 2.6 2.2

65 45 38390 330 318124 119 125283 353 666

23.2 26.1 24.72.0 0.7 0.7

16.6 12.4 11.9178

171171.9

3.1 3.2 3.2415 662 423

64.7 55.8 49.3259 550 324

46.6 67.0 41.653.4 16.9 41.9

0.3 0.5 0.40.4 0.8 0.5

135.1 37.4 –6.034 53 6556 61 37

1,325 4,829 5,004

3.2 3.2 9.466 87 8880 58 6771 46 6090 81 8610 31 386 24 33

15 42 52

10.017.9

76 144 118

7.3 16.5 25.98.8 9.0 7.94.7 3.3 3.40.0 14.2 7.86.5 1.3 1.02.8 0.6 1.00.5 0.6 0.70.1 0.4 0.3

–6.5 –6.2 10.7


Country data


Low-income group

Ghana







28,400 39,68861 78

0.8 1.00.6 0.7

64 387,411 28,475

87 101172 341

29.6 28.9–0.9 –0.13.4 19.110116211

2.8

9.4 6.52,875 5,321

3.7 3.75,628 9,753

92.6 63.14.1 11.1

0.3 0.48.6 12.7

32.5 18.036 26

694 1,166

5,182 9,305

13.4 10.480 43

100 10099 98

100 10098 10097 9999 100

..

..4 7

7.4 18.513.9 13.8

2.8 4.60.3 2.00.1 0.20.0 0.00.2 0.20.3 0.1

–4.8 6.8


Country data

High-income group

Greece







29,740 39,68884 780.3 1.00.1 0.7

1 38.. 28,475

99 101.. 341

0.0 28.90.0 –0.1

39.7 19.16061

1.1

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.49.9 12.71.3 18.0

.. 26

.. 1,166

10,662,187 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8


Country data

High-income group

Greenland







5,880 6,768 7,85231 79 75

0.2 2.0 1.50.4 1.5 1.0

38 36 302,415 3,452 3,399

89 125 1203,572 233 146

12.1 44.9 37.30.1 0.5 0.22.0 22.8 14.0

31

153

0.6

.. 7.5 5.2

.. 1,273 2,130

.. 16.3 7.3

.. 1,866 3,052

.. 38.2 63.4

.. 55.8 27.5

0.3 0.3 0.52.4 2.6 5.2

100.0 40.0 –4.920 35 32

.. 317 374

.. 24,004 18,876

.. 2.0 13.8

.. 71 5895 91 9493 73 8297 97 9897 78 8297 51 6396 86 89

..

..15 23 23

–13.3 22.4 23.811.7 11.8 12.15.1 4.4 4.20.0 6.3 9.40.0 1.8 1.3

.. 0.0 0.00.3 0.3 0.5

.. 0.3 0.2

.. 6.3 4.6

Country data


group



Grenada







.. 39,68893 781.6 1.01.5 0.7

35 38.. 28,475

108 1011,189 341

48.0 28.90.0 –0.1

20.9 19.12

1294

0.2

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.0

.. 26

.. 1,166

.. 9,305

.. 10.4

.. 43100 100100 98100 10099 10098 9999 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Guam







2,680 6,768 2,07349 79 41

3.3 2.0 3.02.4 1.5 1.4

42 36 502,808 3,452 589

137 125 123440 233 516

35.7 44.9 24.81.3 0.5 0.2

32.7 22.8 11.2161116838.0

7.0 7.5 3.9620 1,273 1,01350.4 16.3 16.3558 1,866 1,31042.9 38.2 80.041.5 55.8 15.2

0.2 0.3 0.80.9 2.6 2.8

131.4 40.0 105.762 35 69

150 317 97

8,177 24,004 3,154

1.8 2.0 8.780 71 8196 91 8694 73 8199 97 9484 78 5279 51 4190 86 69

18.013.3

35 23 64

14.4 22.4 41.110.1 11.8 9.62.9 4.4 2.30.8 6.3 8.10.0 1.8 1.40.7 0.0 0.20.3 0.3 1.10.1 0.3 0.65.3 6.3 22.4

Country data


group



Guatemala







350 1,077 52334 36 293.8 4.0 3.52.6 2.6 2.2

55 45 38316 330 318125 119 125289 353 666

27.1 26.1 24.70.6 0.7 0.76.6 12.4 11.9221219222.3

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.2 0.5 0.40.1 0.8 0.5

28.8 37.4 –6.070 53 65

.. 61 37

23,505 4,829 5,004

0.7 3.2 9.490 87 8870 58 6759 46 6091 81 8619 31 3812 24 3333 42 52

15.021.2146 144 118

2.9 16.5 25.97.7 9.0 7.92.0 3.3 3.40.0 14.2 7.85.2 1.3 1.02.6 0.6 1.00.3 0.6 0.70.5 0.4 0.3

–11.3 –6.2 10.7


Country data


Low-income group

Guinea







250 1,077 52330 36 292.7 4.0 3.52.4 2.6 2.2

58 45 38320 330 318114 119 125361 353 666

73.0 26.1 24.70.5 0.7 0.7

18.2 12.4 11.9112

184

0.6

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.4 0.5 0.40.2 0.8 0.5

10.1 37.4 –6.072 53 65

.. 61 37

10,383 4,829 5,004

1.1 3.2 9.482 87 8857 58 6747 46 6082 81 8633 31 3826 24 3348 42 52

10.031.5195 144 118

22.4 16.5 25.96.7 9.0 7.92.3 3.3 3.40.0 14.2 7.80.0 1.3 1.00.0 0.6 1.00.5 0.6 0.70.8 0.4 0.3

16.6 –6.2 10.7

Country data


Low-income group


Guinea-Bissau







1,450 6,768 2,07328 79 41

–0.1 2.0 3.00.1 1.5 1.4

9 36 503,463 3,452 589

100 125 123130 233 516

76.7 44.9 24.80.0 0.5 0.22.3 22.8 11.2

83

22223.0

.. 7.5 3.9

.. 1,273 1,013

.. 16.3 16.3

.. 1,866 1,310

.. 38.2 80.0

.. 55.8 15.2

0.8 0.3 0.82.0 2.6 2.8

32.2 40.0 105.730 35 69

.. 317 97

315,404 24,004 3,154

0.7 2.0 8.7.. 71 81

93 91 8691 73 8198 97 9481 78 5280 51 4185 86 69

5.0..

61 23 64

33.2 22.4 41.19.1 11.8 9.65.7 4.4 2.30.0 6.3 8.1

14.1 1.8 1.40.0 0.0 0.21.1 0.3 1.10.2 0.3 0.6

14.4 6.3 22.4

Country data


group



Guyana







.. 6,768 52347 79 29

4.6 2.0 3.51.8 1.5 2.2

61 36 38.. 3,452 318

101 125 125589 233 666

3.8 44.9 24.70.7 0.5 0.70.3 22.8 11.9

5131529

5.2

3.6 7.5 3.2286 1,273 42371.7 16.3 49.3

30 1,866 32467.2 38.2 41.632.8 55.8 41.9

0.2 0.3 0.40.2 2.6 0.5

82.3 40.0 –6.037 35 6546 317 37

1,338 24,004 5,004

7.6 2.0 9.494 71 8858 91 6751 73 6070 97 8619 78 3812 51 3329 86 52

39.025.7

72 23 118

.. 22.4 25.9

.. 11.8 7.9

.. 4.4 3.4

.. 6.3 7.8

.. 1.8 1.0

.. 0.0 1.0

.. 0.3 0.7

.. 0.3 0.3

.. 6.3 10.7

Country data


group

Low-income group


Haiti







1,740 6,768 2,07348 79 413.2 2.0 3.02.2 1.5 1.4

28 36 501,969 3,452 589

144 125 123353 233 516

38.7 44.9 24.83.1 0.5 0.2

21.0 22.8 11.267

191107.2

5.4 7.5 3.9661 1,273 1,01340.7 16.3 16.3692 1,866 1,31062.3 38.2 80.035.1 55.8 15.2

0.3 0.3 0.81.0 2.6 2.8

177.5 40.0 105.743 35 69

148 317 97

13,372 24,004 3,154

0.9 2.0 8.780 71 8184 91 8674 73 8195 97 9466 78 5255 51 4178 86 69

..19.3

31 23 64

21.2 22.4 41.19.5 11.8 9.63.5 4.4 2.30.0 6.3 8.11.4 1.8 1.40.0 0.0 0.20.5 0.3 1.10.2 0.3 0.6

13.1 6.3 22.4

Country data


group



Honduras







31,420 39,688100 781.1 1.01.1 0.7

.. 38

.. 28,475

.. 101

.. 341

.. 28.9

.. –0.144.1 19.1

21613

6..

20.1 6.51,985 5,321

0.4 3.75,899 9,753100.0 63.1

0.0 11.1

0.1 0.45.7 12.7

41.1 18.0.. 26

209 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

29.7 18.513.4 13.8

3.0 4.60.0 2.00.0 0.20.0 0.00.2 0.2

.. 0.119.1 6.8

Country data

High-income group


Hong Kong SAR, China







12,810 39,68868 780.0 1.0

–0.2 0.7

65 387,006 28,475

98 10172 341

22.4 28.9–0.6 –0.15.6 19.1

2991

0.2

6.7 6.52,658 5,321

4.9 3.73,977 9,75358.2 63.1

0.5 11.1

0.3 0.45.7 12.7

–6.9 18.019 26

440 1,166

597 9,305

127.3 10.432 43

100 100100 98100 100100 100100 99100 100

..

..7 7

15.9 18.515.1 13.85.3 4.60.8 2.00.0 0.20.0 0.00.3 0.20.0 0.15.0 6.8

Country data

High-income group


Hungary







40,450 39,68892 781.3 1.01.2 0.7

23 3853,483 28,475

106 101345 341

0.5 28.9–4.1 –0.19.3 19.1

50

120

0.7

2.3 6.515,708 5,321

0.1 3.736,853 9,753

0.0 63.170.1 11.1

0.2 0.47.3 12.77.9 18.018 26

1,011 1,166

545,631 9,305

0.1 10.4.. 43

100 100100 98100 100100 100100 99100 100

..

..3 7

.. 18.520.7 13.8

7.3 4.60.0 2.00.0 0.20.0 0.00.2 0.20.0 0.1

.. 6.8

Country data

High-income group


Iceland







1,040 963 2,07330 29 412.5 2.7 3.01.6 1.7 1.4

61 55 50476 496 589119 120 123502 628 516

22.8 16.7 24.8–0.3 –0.1 0.24.8 5.5 11.2967640

24639.9

4.9 5.0 3.9529 484 1,01327.2 29.3 16.3542 482 1,310

80.8 78.6 80.015.4 17.0 15.2

0.6 0.5 0.81.4 1.1 2.8

118.7 118.9 105.765 78 6936 37 97

1,121 1,194 3,154

51.2 51.7 8.786 90 8189 87 8686 84 8196 94 9428 33 5218 23 4152 57 69

19.019.2

69 76 64

38.2 35.3 41.18.5 8.4 9.63.2 3.0 2.34.9 4.6 8.11.4 1.1 1.40.8 0.8 0.21.2 1.0 1.10.5 0.5 0.6

24.2 21.8 22.4

Country data

South Asia

group



India







1,880 2,644 2,07351 44 41

4.3 3.4 3.01.4 1.0 1.4

27 50 50674 509 589136 127 123507 552 516

46.8 28.5 24.81.9 0.1 0.2

15.7 14.7 11.218311511138681.0

4.1 3.6 3.9849 1,295 1,01327.5 12.8 16.3566 1,883 1,31087.1 82.2 80.07.9 14.7 15.2

0.4 0.9 0.81.5 3.8 2.8

121.7 135.9 105.783 69 69

108 113 97

12,632 4,940 3,154

2.9 10.2 8.791 74 8180 87 8671 81 8189 96 9452 66 5237 59 4167 75 69

8.010.4

41 29 64

22.2 47.3 41.110.7 10.1 9.61.1 2.0 2.3

12.6 7.2 8.11.4 1.5 1.40.0 0.0 0.20.6 1.1 1.10.5 0.7 0.6

–2.4 28.6 22.4

Country data

East Asia & Pacific

group



Indonesia







3,540 3,237 2,07368 57 412.6 2.6 3.01.6 2.0 1.4

30 23 503,061 2,896 589

125 120 123135 746 516

6.8 2.5 24.80.0 –0.4 0.27.0 3.8 11.21620211

7.3

4.0 5.0 3.92,604 1,275 1,013

0.5 1.1 16.32,325 1,435 1,310

91.1 91.1 80.08.8 7.4 15.2

0.7 0.6 0.86.7 3.5 2.8

105.6 96.4 105.751 72 69

497 258 97

1,809 714 3,154

72.6 122.3 8.792 86 81

.. 88 86

.. 81 8199 95 94

.. 74 52

.. 59 41

.. 89 69

24.011.3

32 34 64

.. .. 41.1

.. 10.5 9.64.2 4.4 2.3

.. 18.6 8.1

.. 1.5 1.4

.. 0.1 0.2

.. 0.7 1.10.4 0.4 0.6

.. .. 22.4

Country data

Middle East &

N. Africa group



Iran, Islamic Rep.







.. 3,237 2,07367 57 412.4 2.6 3.02.7 2.0 1.4

22 23 502,261 2,896 589

95 120 123192 746 516

1.9 2.5 24.8–0.1 –0.4 0.20.0 3.8 11.21318

60

1.6

.. 5.0 3.91,105 1,275 1,013

0.1 1.1 16.31,080 1,435 1,310

98.5 91.1 80.01.5 7.4 15.2

.. 0.6 0.83.2 3.5 2.8

76.2 96.4 105.7115 72 69327 258 97

1,175 714 3,154

187.5 122.3 8.779 86 8177 88 8656 81 8188 95 9476 74 5269 59 4180 89 69

7.0..

44 34 64

.. .. 41.1

.. 10.5 9.6

.. 4.4 2.3

.. 18.6 8.1

.. 1.5 1.4

.. 0.1 0.2

.. 0.7 1.1

.. 0.4 0.6

.. .. 22.4

Country data

Middle East &

N. Africa group



Iraq







49,770 39,68861 781.7 1.01.3 0.7

62 3815,524 28,475

92 101160 341

10.1 28.9–2.7 –0.11.1 19.1

51

161

0.6

11.9 6.53,457 5,321

1.6 3.76,263 9,753

82.3 63.12.4 11.1

0.3 0.410.3 12.741.7 18.0

16 261,096 1,166

11,246 9,305

2.3 10.40 43.. 100.. 98

100 100.. 100.. 99.. 100

..

..4 7

19.7 18.517.1 13.85.2 4.60.0 2.00.0 0.20.0 0.00.1 0.20.0 0.17.5 6.8

Country data

High-income group


Ireland







49,310 39,68851 780.7 1.00.8 0.7

46 38.. 28,475.. 101

564 341

6.1 28.90.0 –0.1

.. 19.10030

0.0

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.0

.. 26

.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Isle of Man







24,720 39,68892 782.6 1.02.5 0.7

23 38.. 28,475

93 101196 341

8.0 28.9–0.7 –0.134.5 19.1

1513310

0.8

8.2 6.53,059 5,321

0.0 3.77,002 9,753100.0 63.1

0.0 11.1

0.4 0.410.0 12.7

110.1 18.031 26

504 1,166

104 9,305

260.5 10.458 43

100 100100 98100 100

.. 100

.. 99100 100

..

..5 7

19.8 18.513.5 13.8

5.9 4.60.2 2.00.3 0.20.0 0.00.3 0.20.1 0.1

11.3 6.8


Country data

High-income group

Israel







35,460 39,68868 780.4 1.00.3 0.7

47 3827,637 28,475

94 101266 341

34.6 28.9–1.2 –0.17.1 19.1

78

3319

3.8

9.6 6.53,001 5,321

2.6 3.75,713 9,75383.6 63.110.6 11.1

0.3 0.48.0 12.7

11.5 18.027 26

697 1,166

3,074 9,305

24.3 10.445 43

.. 100

.. 98100 100

.. 100

.. 99

.. 100

..

..4 7

18.5 18.514.0 13.84.5 4.60.2 2.00.0 0.20.0 0.00.2 0.20.1 0.18.5 6.8


Country data

High-income group

Italy







4,800 6,768 7,85253 79 751.1 2.0 1.50.7 1.5 1.0

47 36 302,459 3,452 3,399

98 125 120721 233 146

31.2 44.9 37.30.1 0.5 0.2

20.9 22.8 14.05

1015

2094.4

3.9 7.5 5.21,852 1,273 2,130

9.8 16.3 7.32,542 1,866 3,052

95.9 38.2 63.42.1 55.8 27.5

0.6 0.3 0.54.6 2.6 5.2

52.6 40.0 –4.943 35 32

373 317 374

3,514 24,004 18,876

4.4 2.0 13.849 71 5893 91 9488 73 8297 97 9883 78 8284 51 6382 86 89

3.0..

31 23 23

.. 22.4 23.811.4 11.8 12.15.3 4.4 4.20.0 6.3 9.41.3 1.8 1.30.0 0.0 0.00.6 0.3 0.50.2 0.3 0.2

.. 6.3 4.6

Country data


group



Jamaica







38,130 39,68866 780.5 1.00.2 0.7

13 3845,520 28,475

99 101995 341

68.2 28.90.0 –0.1

14.1 19.127404012

36.0

7.9 6.54,019 5,321

1.4 3.78,474 9,75363.2 63.1

6.6 11.1

0.3 0.410.1 12.710.3 18.0

30 26645 1,166

3,365 9,305

20.6 10.462 43

100 100100 98100 100100 100100 99100 100

..

..4 7

25.9 18.513.3 13.8

3.2 4.60.0 2.00.0 0.20.0 0.00.2 0.20.3 0.1

15.3 6.8

Country data

High-income group


Japan







3,470 3,237 2,07378 57 41

3.9 2.6 3.03.5 2.0 1.4

11 23 502,558 2,896 589

135 120 123881 746 516

0.9 2.5 24.80.0 –0.4 0.2

10.5 3.8 11.213

8140

0.4

3.8 5.0 3.91,259 1,275 1,013

0.1 1.1 16.31,956 1,435 1,310

99.4 91.1 80.00.5 7.4 15.2

0.8 0.6 0.83.7 3.5 2.8

99.2 96.4 105.745 72 69

296 258 97

119 714 3,154

138.0 122.3 8.765 86 8198 88 8691 81 8199 95 9485 74 5271 59 4188 89 69

6.018.0

20 34 64

13.7 .. 41.19.8 10.5 9.65.6 4.4 2.30.2 18.6 8.14.5 1.5 1.40.0 0.1 0.20.8 0.7 1.10.2 0.4 0.63.6 .. 22.4

Country data

Middle East &

N. Africa group



Jordan







6,160 7,350 7,85258 64 75

–0.1 0.2 1.5–0.2 0.1 1.0

77 28 301,870 2,797 3,399

137 113 12029 144 146

1.2 38.4 37.30.2 0.0 0.22.8 7.8 14.016211316

5.1

2.4 3.7 5.24,292 2,948 2,130

0.1 2.1 7.34,448 3,958 3,052

89.3 68.9 63.410.7 16.2 27.5

1.3 0.7 0.512.6 7.3 5.2

–34.4 –30.0 –4.919 27 32

284 376 374

4,871 11,867 18,876

46.4 7.2 13.882 60 5896 95 9491 88 8299 99 9897 89 8298 79 6397 94 89

3.013.4

30 22 23

46.2 24.8 23.813.5 12.1 12.1

4.4 4.1 4.231.3 12.1 9.41.8 0.6 1.30.0 0.0 0.01.4 0.8 0.50.1 0.2 0.22.5 3.2 4.6

Country data

Europe & Central

Asia group



Kazakhstan







730 1,077 52322 36 293.7 4.0 3.52.8 2.6 2.2

47 45 38370 330 318136 119 125571 353 666

6.1 26.1 24.70.3 0.7 0.7

12.3 12.4 11.9272771

1038.8

3.0 3.2 3.2485 662 42374.0 55.8 49.3151 550 324

28.8 67.0 41.651.4 16.9 41.9

0.2 0.5 0.40.3 0.8 0.5

108.7 37.4 –6.036 53 6550 61 37

548 4,829 5,004

13.2 3.2 9.479 87 8857 58 6749 46 6085 81 8642 31 3848 24 3319 42 52

18.017.1128 144 118

13.1 16.5 25.98.0 9.0 7.96.6 3.3 3.40.0 14.2 7.80.1 1.3 1.01.0 0.6 1.00.3 0.6 0.70.1 0.4 0.3

10.2 –6.2 10.7

Country data


Low-income group


Kenya







2,040 2,644 2,07344 44 412.9 3.4 3.01.6 1.0 1.4

46 50 501,365 509 589

126 127 1232,673 552 516

2.7 28.5 24.80.0 0.1 0.2

55.0 14.7 11.21570

1.1

.. 3.6 3.9

.. 1,295 1,013

.. 12.8 16.3

.. 1,883 1,310

.. 82.2 80.0

.. 14.7 15.2

0.1 0.9 0.80.3 3.8 2.8

33.3 135.9 105.7.. 69 69.. 113 97

.. 4,940 3,154

.. 10.2 8.7

.. 74 8165 87 8653 81 8177 96 9433 66 5220 59 4146 75 69

..

..48 29 64

.. 47.3 41.16.0 10.1 9.6

.. 2.0 2.30.0 7.2 8.10.0 1.5 1.4

.. 0.0 0.20.1 1.1 1.1

.. 0.7 0.6

.. 28.6 22.4

Country data

East Asia & Pacific

group



Kiribati







Country data

East Asia & Pacific

group

Low-income group

.. 2,644 52363 44 291.3 3.4 3.50.9 1.0 2.2

25 50 38.. 509 318

111 127 125319 552 666

49.3 28.5 24.71.9 0.1 0.72.6 14.7 11.9

920

83

0.7

.. 3.6 3.2774 1,295 4235.7 12.8 49.3

764 1,883 32438.3 82.2 41.661.7 14.7 41.9

.. 0.9 0.43.6 3.8 0.5

–65.4 135.9 –6.068 69 6517 113 37

2,824 4,940 5,004

13.5 10.2 9.455 74 88

100 87 67100 81 60100 96 86

.. 66 38

.. 59 33

.. 75 52

12.0..

55 29 118

.. 47.3 25.9

.. 10.1 7.9

.. 2.0 3.4

.. 7.2 7.8

.. 1.5 1.0

.. 0.0 1.0

.. 1.1 0.7

.. 0.7 0.3

.. 28.6 10.7


Korea, Dem. Rep.







21,530 39,68881 78

1.2 1.00.7 0.7

19 3815,840 28,475

96 101569 341

64.5 28.90.1 –0.14.3 19.1

930140

1.7

5.5 6.54,586 5,321

1.2 3.78,502 9,753

65.3 63.10.9 11.1

0.4 0.49.8 12.7

96.7 18.035 26

624 1,166

1,338 9,305

28.7 10.448 43

.. 100

.. 9897 100

.. 100

.. 99

.. 100

..

..5 7

30.5 18.512.6 13.83.9 4.60.0 2.00.0 0.20.0 0.00.4 0.20.3 0.1

21.1 6.8

Country data

High-income group


Korea, Rep.







.. 7,350 2,073

.. 64 41

.. 0.2 3.0–0.2 0.1 1.4

52 28 50.. 2,797 589.. 113 123.. 144 516

41.3 38.4 24.8.. 0.0 0.2.. 7.8 11.2..........

.. 3.7 3.9

.. 2,948 1,013

.. 2.1 16.3

.. 3,958 1,310

.. 68.9 80.0

.. 16.2 15.2

.. 0.7 0.8

.. 7.3 2.8

.. –30.0 105.7

.. 27 69

.. 376 97

.. 11,867 3,154

.. 7.2 8.7

.. 60 81

.. 95 86

.. 88 81

.. 99 94

.. 89 52

.. 79 41

.. 94 69

..

..

.. 22 64

.. 24.8 41.1

.. 12.1 9.6

.. 4.1 2.3

.. 12.1 8.1

.. 0.6 1.4

.. 0.0 0.2

.. 0.8 1.1

.. 0.2 0.6

.. 3.2 22.4

Country data

Europe & Central

Asia group



Kosovo







KuwaitPopulation (millions) 2.7 Land area (1,000 sq. km) 18 GDP ($ billions) 148.0

Country data

High-income group

43,930 39,68898 781.4 1.01.4 0.7

9 3814,486 28,475

130 101295 341

0.3 28.9–3.0 –0.10.8 19.1

68

100

0.1

4.8 6.59,463 5,321

0.0 3.716,198 9,753100.0 63.1

0.0 11.1

0.7 0.433.3 12.7

112.5 18.097 26

1,232 1,166

.. 9,305

.. 10.454 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

9.910.2

11 7

58.7 18.513.3 13.8

3.0 4.638.0 2.0

0.0 0.20.0 0.00.4 0.20.3 0.19.7 6.8








Country data

Europe & Central

Asia group

Low-income group

780 7,350 52336 64 29

0.8 0.2 3.51.0 0.1 2.2

56 28 381,034 2,797 318

103 113 125261 144 666

4.6 38.4 24.7-0.3 0.0 0.73.1 7.8 11.9

612

3141.1

3.4 3.7 3.2556 2,948 4230.1 2.1 49.3

1,772 3,958 32414.1 68.9 41.685.9 16.2 41.9

0.6 0.7 0.41.1 7.3 0.5

-55.3 -30.0 -6.022 27 6580 376 37

8,873 11,867 5,004

21.7 7.2 9.494 60 8889 95 6783 88 6099 99 8693 89 3893 79 3394 94 52

4.017.6

38 22 118

14.9 24.8 25.98.5 12.1 7.95.8 4.1 3.40.7 12.1 7.80.0 0.6 1.00.0 0.0 1.01.0 0.8 0.70.2 0.2 0.3

10.4 3.2 10.7

Kyrgyz Republic







Lao PDR

760 2,644 52331 44 29

6.0 3.4 3.52.2 1.0 2.2

9 50 38512 509 318132 127 125366 552 666

69.3 28.5 24.70.5 0.1 0.7

15.9 14.7 11.94623

621

5.0

.. 3.6 3.2

.. 1,295 423

.. 12.8 49.3

.. 1,883 324

.. 82.2 41.6

.. 14.7 41.9

0.1 0.9 0.40.2 3.8 0.5

507.8 135.9 –6.049 69 65

.. 113 37

31,256 4,940 5,004

1.6 10.2 9.490 74 8860 87 6753 81 6086 96 8648 66 3838 59 3387 75 52

1.06.261 29 118

25.2 47.3 25.98.6 10.1 7.91.2 2.0 3.40.0 7.2 7.80.0 1.5 1.00.0 0.0 1.00.2 1.1 0.70.5 0.7 0.3

17.1 28.6 10.7

Country data

East Asia & Pacific

group

Low-income group








11,860 7,350 7,85268 64 75

–1.0 0.2 1.5–0.9 0.1 1.0

30 28 303,434 2,797 3,399

128 113 12061 144 146

47.6 38.4 37.3–0.4 0.0 0.216.4 7.8 14.0

1460

0.0

7.4 3.7 5.22,052 2,948 2,130

25.1 2.1 7.33,064 3,958 3,052

40.7 68.9 63.457.3 16.2 27.5

0.2 0.7 0.53.3 7.3 5.2

–50.4 –30.0 –4.916 27 32

551 376 374

7,355 11,867 18,876

1.8 7.2 13.813 60 5899 95 9496 88 82

100 99 9878 89 8271 79 6382 94 89

..

..9 22 23

22.3 24.8 23.812.6 12.1 12.1

5.6 4.1 4.20.0 12.1 9.40.0 0.6 1.30.2 0.0 0.00.2 0.8 0.50.0 0.2 0.2

14.8 3.2 4.6

Country data

Europe & Central

Asia group



Latvia







Lebanon

6,780 3,237 7,85287 57 75

2.2 2.6 1.51.9 2.0 1.0

67 23 3031,834 2,896 3,399

104 120 120380 746 146

13.6 2.5 37.3–0.8 –0.4 0.20.4 3.8 14.0106

150

0.2

10.5 5.0 5.2959 1,275 2,1303.5 1.1 7.3

2,154 1,435 3,05293.9 91.1 63.4

6.1 7.4 27.5

0.4 0.6 0.53.7 3.5 5.2

68.5 96.4 –4.936 72 32

248 258 374

1,153 714 18,876

27.3 122.3 13.860 86 58

100 88 94100 81 82100 95 98

.. 74 82

.. 59 63100 89 89

4.019.3

13 34 23

10.2 .. 23.811.3 10.5 12.11.8 4.4 4.20.0 18.6 9.40.0 1.5 1.30.0 0.1 0.00.5 0.7 0.50.1 0.4 0.20.1 .. 4.6

Country data

Middle East &

N. Africa group









1,060 1,077 2,07325 36 414.7 4.0 3.01.4 2.6 1.4

76 45 50191 330 58988 119 123

510 353 516

0.3 26.1 24.8–3.1 0.7 0.20.2 12.4 11.2

2511

0.3

.. 3.2 3.9

.. 662 1,013

.. 55.8 16.3

.. 550 1,310

.. 67.0 80.0

.. 16.9 15.2

.. 0.5 0.8

.. 0.8 2.8

.. 37.4 105.741 53 69.. 61 97

2,574 4,829 3,154

1.0 3.2 8.720 87 8178 58 8674 46 8193 81 9436 31 5234 24 4143 42 69

18.7..

79 144 64

17.8 16.5 41.16.4 9.0 9.69.4 3.3 2.30.0 14.2 8.10.0 1.3 1.41.3 0.6 0.20.0 0.6 1.10.1 0.4 0.6

19.4 –6.2 22.4


Country data



Lesotho







Liberia

Country data


Low-income group

170 1,077 52360 36 294.7 4.0 3.53.1 2.6 2.2

27 45 38.. 330 318

122 119 125382 353 666

31.5 26.1 24.71.7 0.7 0.7

15.0 12.4 11.9201119462.6

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.7 0.5 0.40.2 0.8 0.5

62.1 37.4 –6.040 53 65

.. 61 37

55,138 4,829 5,004

0.1 3.2 9.455 87 8864 58 6752 46 6072 81 8632 31 38

7 24 3349 42 52

39.0..

145 144 118

–2.7 16.5 25.97.8 9.0 7.9

.. 3.3 3.40.0 14.2 7.80.0 1.3 1.07.7 0.6 1.00.9 0.6 0.70.3 0.4 0.3

.. –6.2 10.7








12,380 3,237 7,85278 57 75

2.2 2.6 1.52.0 2.0 1.0

9 23 30.. 2,896 3,399

101 120 12080 746 146

0.1 2.5 37.30.0 –0.4 0.20.1 3.8 14.012

4141

1.6

5.1 5.0 5.22,889 1,275 2,130

0.9 1.1 7.33,871 1,435 3,052100.0 91.1 63.4

0.0 7.4 27.5

0.6 0.6 0.59.2 3.5 5.2

37.7 96.4 –4.988 72 32

536 258 374

97 714 18,876

721.0 122.3 13.883 86 58

.. 88 94

.. 81 82

.. 95 9897 74 8296 59 6397 89 89

4.316.9

17 34 23

66.8 .. 23.812.3 10.5 12.1

.. 4.4 4.238.8 18.6 9.4

0.0 1.5 1.30.0 0.1 0.00.5 0.7 0.51.0 0.4 0.2

.. .. 4.6


Country data

Middle East &

N. Africa group


Libya







97,990 39,68814 78

0.2 1.01.1 0.7

38 38.. 28,475

96 101756 341

43.1 28.9–0.4 –0.140.1 19.1

0000

0.0

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.032 26

.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..2 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8


Country data

High-income group

Liechtenstein







11,870 7,350 7,85267 64 75

–0.6 0.2 1.5–0.5 0.1 1.0

43 28 305,124 2,797 3,399

129 113 12061 144 146

34.0 38.4 37.3–0.6 0.0 0.26.0 7.8 14.0

3460

0.0

5.8 3.7 5.22,740 2,948 2,130

8.3 2.1 7.33,414 3,958 3,05220.0 68.9 63.4

3.1 16.2 27.5

0.3 0.7 0.54.2 7.3 5.2

–43.2 –30.0 –4.919 27 32

518 376 374

4,610 11,867 18,876

1.7 7.2 13.87 60 58.. 95 94.. 88 82.. 99 98.. 89 82.. 79 63.. 94 89

..

..7 22 23

15.2 24.8 23.812.7 12.1 12.14.6 4.1 4.20.1 12.1 9.40.0 0.6 1.30.1 0.0 0.00.3 0.8 0.50.1 0.2 0.26.6 3.2 4.6

Country data

Europe & Central

Asia group



Lithuania







69,390 39,68882 781.5 1.01.4 0.7

51 3827,824 28,475

56 101137 341

33.5 28.90.0 –0.1

16.6 19.10010

0.0

8.4 6.58,790 5,321

2.3 3.716,315 9,753

90.7 63.13.4 11.1

0.3 0.423.9 12.714.1 18.0

15 264,550 1,166

2,083 9,305

.. 10.4

.. 43100 100100 98100 100100 100100 99100 100

..

..3 7

.. 18.518.7 13.8

3.7 4.60.0 2.00.0 0.20.0 0.00.2 0.20.0 0.1

.. 6.8

Country data

High-income group


Luxembourg







35,360 39,688100 781.9 1.01.9 0.7

.. 38

.. 28,475

.. 101

.. 341

.. 28.9

.. –0.1

.. 19.10460..

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

0.1 0.44.5 12.7

116.3 18.048 26

.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Macao SAR, China







4,130 7,350 7,85267 64 75

1.2 0.2 1.50.4 0.1 1.0

42 28 304,644 2,797 3,399

111 113 120159 144 146

35.6 38.4 37.30.0 0.0 0.2

.. 7.8 14.05

10140

0.2

5.3 3.7 5.21,482 2,948 2,130

4.8 2.1 7.33,780 3,958 3,05285.0 68.9 63.415.0 16.2 27.5

0.7 0.7 0.55.3 7.3 5.2

–31.8 –30.0 –4.921 27 32

193 376 374

2,647 11,867 18,876

.. 7.2 13.8

.. 60 58100 95 9499 88 82

100 99 9889 89 8281 79 6392 94 89

..

..11 22 23

16.1 24.8 23.810.8 12.1 12.14.9 4.1 4.20.0 12.1 9.40.0 0.6 1.30.1 0.0 0.01.0 0.8 0.50.1 0.2 0.29.0 3.2 4.6


Country data

Europe & Central

Asia group


Macedonia, FYR







420 1,077 52330 36 29

4.2 4.0 3.52.9 2.6 2.2

70 45 38183 330 318121 119 125447 353 666

21.9 26.1 24.70.4 0.7 0.73.1 12.4 11.9623575

28129.2

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.2 0.5 0.40.2 0.8 0.5

187.4 37.4 –6.034 53 65

.. 61 37

18,114 4,829 5,004

4.4 3.2 9.496 87 8847 58 6736 46 6076 81 8612 31 3810 24 3318 42 52

9.012.8106 144 118

14.7 16.5 25.97.4 9.0 7.92.6 3.3 3.40.0 14.2 7.80.0 1.3 1.02.5 0.6 1.00.3 0.6 0.70.1 0.4 0.37.0 –6.2 10.7


Country data


Low-income group

Madagascar







280 1,077 52319 36 29

5.2 4.0 3.52.5 2.6 2.2

53 45 38132 330 318142 119 125393 353 666

35.5 26.1 24.70.9 0.7 0.7

15.5 12.4 11.96

12101

143.5

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.1 0.5 0.40.07 0.82 0.5171.3 37.4 –6.0

33 53 65.. 61 37

1,118 4,829 5,004

6.3 3.2 9.480 87 8876 58 6772 46 6096 81 8660 31 3862 24 3351 42 52

27.017.6100 144 118

29.3 16.5 25.96.5 9.0 7.93.5 3.3 3.40.0 14.2 7.80.0 1.3 1.00.9 0.6 1.00.2 0.6 0.70.1 0.4 0.3

25.1 –6.2 10.7

Country data


Low-income group


Malawi







7,250 2,644 7,85270 44 754.1 3.4 1.52.2 1.0 1.0

24 50 30611 509 3,399131 127 120451 552 146

62.7 28.5 37.30.5 0.1 0.2

20.3 14.7 14.0704249

68613.9

4.7 3.6 5.22,733 1,295 2,130

4.0 12.8 7.33,667 1,883 3,052

93.6 82.2 63.46.4 14.7 27.5

0.6 0.9 0.57.2 3.8 5.2

232.0 135.9 –4.923 69 32

511 113 374

21,841 4,940 18,876

1.6 10.2 13.862 74 5899 87 9496 81 82

100 96 9894 66 8293 59 6395 75 89

..

..6 29 23

.. 47.3 23.811.9 10.1 12.14.0 2.0 4.2

13.1 7.2 9.40.1 1.5 1.30.0 0.0 0.00.7 1.1 0.50.0 0.7 0.2

.. 28.6 4.6

Country data

East Asia & Pacific

group



Malaysia







3,640 963 2,07338 29 414.1 2.7 3.01.9 1.7 1.4

43 55 50.. 496 589

50 120 1234,771 628 516

3.0 16.7 24.80.0 –0.1 0.2

.. 5.5 11.220

120

1.4

.. 5.0 3.9

.. 484 1,013

.. 29.3 16.3

.. 482 1,310

.. 78.6 80.0

.. 17.0 15.2

0.6 0.5 0.82.9 1.1 2.8

464.3 118.9 105.732 78 69

.. 37 97

100 1,194 3,154

.. 51.7 8.7

.. 90 8183 87 8676 84 8198 94 9459 33 5242 23 41

100 57 69

22.07.928 76 64

.. 35.3 41.111.1 8.4 9.66.5 3.0 2.30.0 4.6 8.10.0 1.1 1.40.0 0.8 0.20.6 1.0 1.10.1 0.5 0.6

.. 21.8 22.4

Country data

South Asia

group



Maldives







580 1,077 52332 36 29

3.9 4.0 3.52.1 2.6 2.2

32 45 38523 330 318146 119 125175 353 666

10.1 26.1 24.70.8 0.7 0.72.1 12.4 11.911616

1.5

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.05 0.46 0.380.05 0.82 0.5134.8 37.4 –6.0152 53 65

.. 61 37

4,835 4,829 5,004

10.9 3.2 9.490 87 8860 58 6748 46 6086 81 8645 31 3839 24 3359 42 52

10.018.6194 144 118

.. 16.5 25.98.1 9.0 7.93.6 3.3 3.40.0 14.2 7.80.0 1.3 1.00.0 0.6 1.00.1 0.6 0.71.1 0.4 0.3

.. –6.2 10.7


Country data


Low-income group

Mali







16,690 39,68894 781.0 1.00.7 0.7

29 38.. 28,475

95 101305 341

0.9 28.90.0 –0.1

16.4 19.133

133

0.0

9.8 6.52,120 5,321

0.0 3.74,845 9,753100.0 63.1

0.0 11.1

0.3 0.46.3 12.7

12.8 18.0.. 26

438 1,166

123 9,305

100.0 10.4.. 43

100 100100 98100 100

.. 100

.. 99100 100

..

..6 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Malta







3,270 2,644 2,07371 44 41

1.9 3.4 3.01.4 1.0 1.4

78 50 50.. 509 589

303 127 123854 552 516

.. 28.5 24.8

.. 0.1 0.221.8 14.7 11.2

25

100

1.3

.. 3.6 3.9

.. 1,295 1,013

.. 12.8 16.3

.. 1,883 1,310

.. 82.2 80.0

.. 14.7 15.2

.. 0.9 0.81.6 3.8 2.8

92.3 135.9 105.7.. 69 69.. 113 97

.. 4,940 3,154

.. 10.2 8.7

.. 74 81

.. 87 86

.. 81 81

.. 96 94

.. 66 52

.. 59 41

.. 75 69

..

..36 29 64

.. 47.3 41.18.0 10.1 9.66.6 2.0 2.30.0 7.2 8.10.0 1.5 1.4

.. 0.0 0.20.3 1.1 1.1

.. 0.7 0.6

.. 28.6 22.4

Country data

East Asia & Pacific

group



Marshall Islands







840 1,077 52341 36 29

2.8 4.0 3.52.7 2.6 2.2

39 45 38424 330 318114 119 125413 353 666

0.2 26.1 24.73.0 0.7 0.70.9 12.4 11.9148

230

1.3

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.3 0.5 0.40.5 0.8 0.5

–37.6 37.4 –6.086 53 65

.. 61 37

127 4,829 5,004

425.0 3.2 9.488 87 8860 58 6754 46 6070 81 8624 31 3810 24 3344 42 52

10.018.3118 144 118

.. 16.5 25.9

.. 9.0 7.92.8 3.3 3.4

.. 14.2 7.8

.. 1.3 1.0

.. 0.6 1.0

.. 0.6 0.70.5 0.4 0.3

.. –6.2 10.7


Country data


Low-income group

Mauritania







6,700 1,077 7,85242 36 75

0.8 4.0 1.51.0 2.6 1.0

50 45 304,668 330 3,399

101 119 120807 353 146

18.0 26.1 37.30.4 0.7 0.25.5 12.4 14.0

61111883.3

.. 3.2 5.2

.. 662 2,130

.. 55.8 7.3

.. 550 3,052

.. 67.0 63.4

.. 16.9 27.5

0.3 0.5 0.53.1 0.8 5.2

163.2 37.4 –4.918 53 32

.. 61 374

2,182 4,829 18,876

26.4 3.2 13.868 87 58

100 58 94100 46 82100 81 9894 31 8294 24 6395 42 89

..

..17 144 23

16.5 16.5 23.811.1 9.0 12.13.4 3.3 4.20.0 14.2 9.40.0 1.3 1.30.0 0.6 0.00.3 0.6 0.50.0 0.4 0.28.5 –6.2 4.6


Country data



Mauritius







.. 1,077 7,852

.. 36 75

.. 4.0 1.5

.. 2.6 1.0

53 45 30.. 330 3,399.. 119 120.. 353 146

14.4 26.1 37.30.4 0.7 0.22.0 12.4 14.0

1330

0.3

.. 3.2 5.2

.. 662 2,130

.. 55.8 7.3

.. 550 3,052

.. 67.0 63.4

.. 16.9 27.5

.. 0.5 0.5

.. 0.8 5.2

.. 37.4 –4.9

.. 53 32

.. 61 374

.. 4,829 18,876

.. 3.2 13.8

.. 87 58

.. 58 94

.. 46 82

.. 81 98

.. 31 82

.. 24 63

.. 42 89

..

..

.. 144 23

.. 16.5 23.8

.. 9.0 12.1

.. 3.3 4.2

.. 14.2 9.4

.. 1.3 1.3

.. 0.6 0.0

.. 0.6 0.5

.. 0.4 0.2

.. –6.2 4.6


Country data



Mayotte







9,990 6,768 7,85277 79 751.8 2.0 1.51.4 1.5 1.0

55 36 303,160 3,452 3,399

121 125 12099 233 146

32.8 44.9 37.30.5 0.5 0.28.0 22.8 14.0

10054

114261

68.7

7.6 7.5 5.21,750 1,273 2,130

4.5 16.3 7.32,036 1,866 3,052

81.3 38.2 63.410.6 55.8 27.5

0.3 0.3 0.54.2 2.6 5.2

13.4 40.0 –4.936 35 32

483 317 374

3,885 24,004 18,876

19.1 2.0 13.877 71 5895 91 9485 73 8298 97 9881 78 8248 51 6391 86 89

..9.717 23 23

25.3 22.4 23.812.0 11.8 12.14.8 4.4 4.28.2 6.3 9.40.3 1.8 1.30.0 0.0 0.00.3 0.3 0.50.3 0.3 0.29.0 6.3 4.6

Country data


group



Mexico







2,460 2,644 2,07323 44 410.0 3.4 3.00.8 1.0 1.4

34 50 50.. 509 589

103 127 1233,416 552 516

90.6 28.5 24.80.0 0.1 0.2

10.1 14.7 11.269

135

2.6

.. 3.6 3.9

.. 1,295 1,013

.. 12.8 16.3

.. 1,883 1,310

.. 82.2 80.0

.. 14.7 15.2

.. 0.9 0.8

.. 3.8 2.8

.. 135.9 105.7

.. 69 69

.. 113 97

.. 4,940 3,154

.. 10.2 8.7

.. 74 8194 87 8694 81 8195 96 9425 66 5214 59 4161 75 69

..

..39 29 64

.. 47.3 41.19.1 10.1 9.6

.. 2.0 2.30.0 7.2 8.10.0 1.5 1.4

.. 0.0 0.20.0 1.1 1.1

.. 0.7 0.6

.. 28.6 22.4


Country data

East Asia & Pacific

group


Micronesia, Fed. Sts.







1,500 7,350 2,07342 64 41

–1.7 0.2 3.0–1.0 0.1 1.4

75 28 501,011 2,797 589

89 113 123117 144 516

10.0 38.4 24.8–0.2 0.0 0.21.4 7.8 11.2

4990

0.0

2.7 3.7 3.9910 2,948 1,0132.3 2.1 16.3

1,319 3,958 1,31098.2 68.9 80.0

0.9 16.2 15.2

0.9 0.7 0.82.1 7.3 2.8

–66.9 –30.0 105.736 27 69

102 376 97

273 11,867 3,154

231.0 7.2 8.733 60 8190 95 8685 88 8196 99 9479 89 5273 79 4185 94 69

7.07.417 22 64

20.8 24.8 41.18.3 12.1 9.66.5 4.1 2.30.0 12.1 8.10.0 0.6 1.40.1 0.0 0.21.0 0.8 1.10.5 0.2 0.6

17.3 3.2 22.4

Country data

Europe & Central

Asia group



Moldova







.. 39,688100 780.6 1.00.6 0.7

.. 38

.. 28,475

.. 101

.. 341

.. 28.9

.. –0.10.3 19.1

20

120

0.0

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.0

.. 26

.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98100 100

.. 100

.. 99100 100

..

..4 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Monaco







1,670 2,644 2,07357 44 41

1.0 3.4 3.01.0 1.0 1.4

75 50 501,719 509 589

78 127 123132 552 516

6.5 28.5 24.80.8 0.1 0.2

13.9 14.7 11.2112110

4.2

2.6 3.6 3.91,182 1,295 1,013

3.3 12.8 16.31,369 1,883 1,310100.0 82.2 80.0

0.0 14.7 15.2

1.3 0.9 0.83.7 3.8 2.8

–6.0 135.9 105.7110 69 69204 113 97

13,326 4,940 3,154

1.3 10.2 8.752 74 8172 87 8648 81 8190 96 9450 66 5231 59 4164 75 69

2.08.041 29 64

26.5 47.3 41.19.7 10.1 9.64.6 2.0 2.35.9 7.2 8.19.2 1.5 1.40.0 0.0 0.21.7 1.1 1.11.6 0.7 0.63.0 28.6 22.4


Country data

East Asia & Pacific

group


Mongolia







6,660 7,350 7,85260 64 751.6 0.2 1.50.3 0.1 1.0

38 28 302,191 2,797 3,399

.. 113 120141 144 146

46.5 38.4 37.3.. 0.0 0.2

6.7 7.8 14.06

11210

0.0

.. 3.7 5.2

.. 2,948 2,130

.. 2.1 7.3

.. 3,958 3,052

.. 68.9 63.4

.. 16.2 27.5

.. 0.7 0.5

.. 7.3 5.2

.. –30.0 –4.9

.. 27 32

.. 376 374

.. 11,867 18,876

.. 7.2 13.8

.. 60 5898 95 9496 88 82

100 99 9891 89 8286 79 6396 94 89

..

..8 22 23

.. 24.8 23.8

.. 12.1 12.1

.. 4.1 4.2

.. 12.1 9.4

.. 0.6 1.3

.. 0.0 0.0

.. 0.8 0.5

.. 0.2 0.2

.. 3.2 4.6

Country data

Europe & Central

Asia group



Montenegro







2,520 3,237 2,07356 57 412.2 2.6 3.01.3 2.0 1.4

67 23 502,148 2,896 589

119 120 123172 746 516

9.8 2.5 24.8–0.1 –0.4 0.21.2 3.8 11.21810312

3.5

8.3 5.0 3.9460 1,275 1,0133.1 1.1 16.3

707 1,435 1,31093.0 91.1 80.0

5.8 7.4 15.2

0.4 0.6 0.81.5 3.5 2.8

92.5 96.4 105.721 72 69

104 258 97

929 714 3,154

43.4 122.3 8.787 86 8183 88 8658 81 81

100 95 9472 74 5254 59 4185 89 69

12.010.4

36 34 64

31.4 .. 41.110.1 10.5 9.65.2 4.4 2.30.0 18.6 8.16.1 1.5 1.40.0 0.1 0.20.4 0.7 1.10.1 0.4 0.6

19.8 .. 22.4

Country data

Middle East &

N. Africa group



Morocco







380 1,077 52337 36 29

5.9 4.0 3.52.8 2.6 2.2

62 45 38185 330 318

99 119 125314 353 666

24.4 26.1 24.70.3 0.7 0.7

15.7 12.4 11.9112145467.2

1.8 3.2 3.2418 662 423

80.3 55.8 49.3472 550 3240.1 67.0 41.6

99.9 16.9 41.9

0.1 0.5 0.40.10 0.82 0.51

103.7 37.4 –6.028 53 6521 61 37

4,586 4,829 5,004

0.6 3.2 9.487 87 8842 58 6726 46 6071 81 8631 31 3819 24 3353 42 52

10.020.7130 144 118

7.4 16.5 25.97.9 9.0 7.93.8 3.3 3.47.0 14.2 7.80.0 1.3 1.00.5 0.6 1.00.2 0.6 0.70.1 0.4 0.3

–4.6 –6.2 10.7


Country data


Low-income group

Mozambique







.. 2,644 52333 44 292.6 3.4 3.51.1 1.0 2.2

18 50 38.. 509 318

158 127 125316 552 666

47.9 28.5 24.71.3 0.1 0.76.7 14.7 11.945411738

10.0

.. 3.6 3.2319 1,295 423

66.3 12.8 49.394 1,883 324

46.1 82.2 41.653.9 14.7 41.9

.. 0.9 0.40.2 3.8 0.5

134.5 135.9 –6.058 69 6527 113 37

17,924 4,940 5,004

3.8 10.2 9.498 74 8880 87 6780 81 6080 96 8682 66 3881 59 3385 75 52

2.0..

98 29 118

.. 47.3 25.9

.. 10.1 7.9

.. 2.0 3.4

.. 7.2 7.8

.. 1.5 1.0

.. 0.0 1.0

.. 1.1 0.7

.. 0.7 0.3

.. 28.6 10.7

Country data

East Asia & Pacific

group

Low-income group


Myanmar







4,210 1,077 7,85237 36 75

3.8 4.0 1.52.3 2.6 1.0

47 45 301,771 330 3,399

101 119 120166 353 146

9.1 26.1 37.30.9 0.7 0.2

15.0 12.4 14.011212124

5.2

7.9 3.2 5.2745 662 2,130

12.3 55.8 7.31,541 550 3,052

7.7 67.0 63.492.3 16.9 27.5

0.2 0.5 0.51.4 0.8 5.2

38,500.0 37.4 –4.947 53 32

308 61 374

2,949 4,829 18,876

4.9 3.2 13.871 87 5893 58 9490 46 8299 81 9835 31 8218 24 6366 42 89

18.020.6

42 144 23

17.1 16.5 23.812.1 9.0 12.1

7.3 3.3 4.20.0 14.2 9.42.1 1.3 1.30.0 0.6 0.00.3 0.6 0.50.0 0.4 0.29.9 –6.2 4.6

Country data




Namibia







400 963 52317 29 29

6.0 2.7 3.52.3 1.7 2.2

29 55 38237 496 318117 120 125999 628 666

24.6 16.7 24.71.8 –0.1 0.7

16.6 5.5 11.93232

07

2.1

2.9 5.0 3.2338 484 42386.7 29.3 49.3

80 482 3240.4 78.6 41.6

99.6 17.0 41.9

0.1 0.5 0.40.1 1.1 0.5

411.0 118.9 –6.034 78 6510 37 37

7,007 1,194 5,004

5.1 51.7 9.496 90 8889 87 6788 84 6094 94 8627 33 3824 23 3345 57 52

23.027.5

51 76 118

37.5 35.3 25.97.1 8.4 7.93.4 3.0 3.40.0 4.6 7.80.0 1.1 1.03.1 0.8 1.00.2 1.0 0.70.0 0.5 0.3

30.5 21.8 10.7

Country data

South Asia

group

Low-income group


Nepal







49,340 39,68882 781.5 1.00.5 0.7

57 3840,506 28,475

92 101290 341

10.9 28.9–0.4 –0.119.8 19.1

42

110

0.2

7.6 6.54,909 5,321

3.5 3.77,097 9,75386.9 63.1

0.1 11.1

0.3 0.410.3 12.7

0.7 18.034 26

739 1,166

671 9,305

72.2 10.434 43

100 100100 98100 100100 100100 99100 100

..

..5 7

10.3 18.513.9 13.8

4.8 4.62.0 2.00.0 0.20.0 0.00.2 0.20.2 0.1

–1.2 6.8

Country data

High-income group


Netherlands







.. 39,68893 780.6 1.00.1 0.7

10 38.. 28,475

115 101182 341

1.5 28.90.0 –0.17.9 19.1

41

152

0.2

.. 6.511,321 5,321

0.0 3.75,658 9,753100.0 63.1

0.0 11.1

.. 0.422.8 12.7

–30.6 18.030 26

2,202 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8


Country data

High-income group

Netherlands Antilles







14,020 39,68865 782.6 1.02.1 0.7

14 38.. 28,475

99 101958 341

39.2 28.90.0 –0.17.4 19.1

91417

2188.5

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.412.3 12.781.0 18.0

69 26.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8


Country data

High-income group

New Caledonia








Country data

High-income group

27,830 39,68887 78

1.3 1.01.2 0.7

46 3825,712 28,475

121 10166 341

31.2 28.9–0.5 –0.129.5 19.1

8691421

20.2

6.4 6.53,966 5,321

6.6 3.79,622 9,75334.5 63.153.6 11.1

0.3 0.47.3 12.7

34.1 18.014 26

1,174 1,166

77,336 9,305

0.6 10.442 43

.. 100

.. 98100 100

.. 100

.. 99

.. 100

..

..6 7

.. 18.514.5 13.86.6 4.62.3 2.00.2 0.20.0 0.00.2 0.20.0 0.1

.. 6.8

New Zealand







1,080 6,768 2,07357 79 41

2.2 2.0 3.01.7 1.5 1.4

43 36 502,408 3,452 589

129 125 123125 233 516

41.5 44.9 24.81.6 0.5 0.2

16.9 22.8 11.259

2139

3.3

3.9 7.5 3.9621 1,273 1,01352.4 16.3 16.3446 1,866 1,31071.1 38.2 80.09.5 55.8 15.2

0.3 0.3 0.80.8 2.6 2.8

63.9 40.0 105.728 35 6997 317 97

33,912 24,004 3,154

0.7 2.0 8.783 71 8179 91 8663 73 8190 97 9448 78 5234 51 4157 86 69

31.014.0

27 23 64

.. 22.4 41.18.9 11.8 9.63.0 4.4 2.30.0 6.3 8.10.6 1.8 1.40.0 0.0 0.20.6 0.3 1.10.0 0.3 0.6

.. 6.3 22.4

Country data


group



Nicaragua







330 1,077 52317 36 29

3.8 4.0 3.53.4 2.6 2.2

34 45 38243 330 318146 119 12580 353 666

1.0 26.1 24.72.6 0.7 0.76.6 12.4 11.911522

0.9

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.1 0.5 0.40.07 0.82 0.51

–11.1 37.4 –6.0132 53 65

.. 61 37

248 4,829 5,004

62.3 3.2 9.495 87 8842 58 6732 46 6091 81 867 31 383 24 33

27 42 52

12.040.0167 144 118

.. 16.5 25.92.6 9.0 7.92.6 3.3 3.40.0 14.2 7.80.0 1.3 1.02.3 0.6 1.00.2 0.6 0.71.1 0.4 0.3

.. –6.2 10.7

Country data


Low-income group


Niger







1,170 1,077 2,07348 36 414.2 4.0 3.02.4 2.6 1.4

86 45 50.. 330 589

119 119 123212 353 516

11.3 26.1 24.83.0 0.7 0.2

16.0 12.4 11.2271221

1716.0

2.6 3.2 3.9722 662 1,013

80.2 55.8 16.3137 550 1,31072.1 67.0 80.027.9 16.9 15.2

0.4 0.5 0.80.7 0.8 2.8

114.4 37.4 105.745 53 6950 61 97

1,496 4,829 3,154

3.6 3.2 8.769 87 8147 58 8630 46 8165 81 9430 31 5225 24 4135 42 69

10.015.3186 144 64

.. 16.5 41.11.2 9.0 9.60.9 3.3 2.3

23.8 14.2 8.10.0 1.3 1.40.2 0.6 0.20.5 0.6 1.10.5 0.4 0.6

.. –6.2 22.4

Country data




Nigeria







.. 39,68891 78

3.8 1.03.7 0.7

7 38.. 28,475.. 101

754 341

72.2 28.90.2 –0.14.4 19.1

51495

2.2

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.0

.. 26

.. 1,166

.. 9,305

.. 10.4

.. 4398 10097 9898 10094 10096 9994 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8


Country data

High-income group

Northern Mariana Islands







87,340 39,68877 781.1 1.00.7 0.7

3 3841,269 28,475

98 101125 341

31.0 28.9–0.2 –0.15.2 19.1

72

142

1.3

8.6 6.55,704 5,321

5.1 3.724,980 9,753

0.7 63.198.2 11.1

0.2 0.48.6 12.7

28.4 18.015 26

1,068 1,166

81,119 9,305

0.6 10.411 43

100 100100 98100 100

.. 100

.. 99

.. 100

..

..4 7

41.2 18.515.0 13.86.0 4.6

15.9 2.00.0 0.20.0 0.00.1 0.20.0 0.1

16.2 6.8

Country data

High-income group


Norway







14,330 39,68872 782.7 1.02.3 0.7

6 381,380 28,475

107 1011,291 341

0.0 28.90.0 –0.19.4 19.1

99

206

3.7

3.8 6.55,678 5,321

0.0 3.74,484 9,753100.0 63.1

0.0 11.1

0.8 0.415.5 12.7

299.8 18.0108 26582 1,166

514 9,305

94.4 10.488 43

.. 100

.. 98

.. 100

.. 100

.. 9997 100

6.26.712 7

.. 18.5

.. 13.83.9 4.6

.. 2.0

.. 0.20.0 0.0

.. 0.20.0 0.1

.. 6.8

Country data

High-income group


Oman







950 963 2,07336 29 41

3.3 2.7 3.02.4 1.7 1.4

35 55 50908 496 589124 120 123486 628 516

2.4 16.7 24.81.9 –0.1 0.29.0 5.5 11.2232722

24.9

4.6 5.0 3.9512 484 1,013

33.9 29.3 16.3474 482 1,310

66.8 78.6 80.030.0 17.0 15.2

0.4 0.5 0.80.9 1.1 2.8

108.1 118.9 105.7120 78 6968 37 97

338 1,194 3,154

308.0 51.7 8.796 90 8190 87 8687 84 8195 94 9458 33 5240 23 4190 57 69

24.026.0

89 76 64

19.3 35.3 41.18.2 8.4 9.62.1 3.0 2.34.9 4.6 8.10.0 1.1 1.40.7 0.8 0.20.7 1.0 1.10.8 0.5 0.66.1 21.8 22.4

Country data

South Asia

group



Pakistan







8,630 2,644 7,85280 44 752.4 3.4 1.51.6 1.0 1.0

13 50 30.. 509 3,399.. 127 120

417 552 146

88.3 28.5 37.3–0.4 0.1 0.21.3 14.7 14.0

42

124

1.2

.. 3.6 5.2

.. 1,295 2,130

.. 12.8 7.3

.. 1,883 3,052

.. 82.2 63.4

.. 14.7 27.5

.. 0.9 0.55.8 3.8 5.2

.. 135.9 –4.9

.. 69 32

.. 113 374

.. 4,940 18,876

.. 10.2 13.8

.. 74 5889 87 9494 81 8279 96 9867 66 8252 59 6396 75 89

..

..15 29 23

.. 47.3 23.811.5 10.1 12.1

.. 2.0 4.20.0 7.2 9.40.0 1.5 1.3

.. 0.0 0.00.5 1.1 0.5

.. 0.7 0.2

.. 28.6 4.6

Country data

East Asia & Pacific

group



Palau







6,690 6,768 7,85273 79 753.6 2.0 1.51.9 1.5 1.0

30 36 304,142 3,452 3,399

110 125 120168 233 146

57.7 44.9 37.30.1 0.5 0.2

28.1 22.8 14.0141719

19410.9

12.7 7.5 5.2845 1,273 2,13013.5 16.3 7.3

1,592 1,866 3,05243.1 38.2 63.456.6 55.8 27.5

0.2 0.3 0.52.0 2.6 5.2

105.0 40.0 –4.935 35 32

293 317 374

44,094 24,004 18,876

0.6 2.0 13.828 71 5892 91 9481 73 8296 97 9874 78 8263 51 6378 86 89

..12.6

23 23 23

25.9 22.4 23.811.1 11.8 12.14.4 4.4 4.20.0 6.3 9.40.0 1.8 1.30.0 0.0 0.00.3 0.3 0.50.1 0.3 0.2

18.8 6.3 4.6

Country data


group



Panama







1,040 2,644 2,07313 44 411.6 3.4 3.02.6 1.0 1.4

2 50 50647 509 589111 127 123

2,246 552 516

64.4 28.5 24.80.5 0.1 0.29.7 14.7 11.2413638

14225.4

.. 3.6 3.9

.. 1,295 1,013

.. 12.8 16.3

.. 1,883 1,310

.. 82.2 80.0

.. 14.7 15.2

0.4 0.9 0.80.7 3.8 2.8

115.8 135.9 105.721 69 69

.. 113 97

124,716 4,940 3,154

0.0 10.2 8.71 74 81

40 87 8632 81 8188 96 9445 66 5241 59 4167 75 69

13.016.5

69 29 64

30.8 47.3 41.19.4 10.1 9.66.3 2.0 2.30.0 7.2 8.1

24.1 1.5 1.40.0 0.0 0.20.5 1.1 1.10.0 0.7 0.63.1 28.6 22.4

Country data

East Asia & Pacific

group



Papua New Guinea







2,110 6,768 2,07360 79 413.3 2.0 3.02.1 1.5 1.4

51 36 502,323 3,452 589

150 125 12357 233 516

45.6 44.9 24.80.9 0.5 0.26.0 22.8 11.2

8270

102.8

6.1 7.5 3.9686 1,273 1,01353.0 16.3 16.3958 1,866 1,3100.0 38.2 80.0

100.0 55.8 15.2

0.2 0.3 0.80.7 2.6 2.8

76.2 40.0 105.777 35 69

187 317 97

15,343 24,004 3,154

0.5 2.0 8.771 71 8177 91 8652 73 8194 97 9470 78 5242 51 4189 86 69

17.016.1

28 23 64

16.1 22.4 41.19.9 11.8 9.63.9 4.4 2.30.0 6.3 8.10.0 1.8 1.40.0 0.0 0.20.2 0.3 1.10.8 0.3 0.69.0 6.3 22.4

Country data


group



Paraguay







3,990 6,768 7,85271 79 75

1.8 2.0 1.51.6 1.5 1.0

17 36 301,440 3,452 3,399

136 125 120221 233 146

53.6 44.9 37.30.1 0.5 0.2

13.8 22.8 14.0539310

27533.4

14.7 7.5 5.2494 1,273 2,13018.2 16.3 7.3961 1,866 3,052

33.2 38.2 63.465.3 55.8 27.5

0.2 0.3 0.51.4 2.6 5.2

82.6 40.0 –4.954 35 32

126 317 374

56,685 24,004 18,876

1.2 2.0 13.882 71 5884 91 9463 73 8292 97 9872 78 8236 51 6385 86 89

17.315.4

24 23 23

24.1 22.4 23.811.4 11.8 12.12.5 4.4 4.21.4 6.3 9.46.2 1.8 1.30.0 0.0 0.00.3 0.3 0.50.3 0.3 0.27.0 6.3 4.6

Country data


group



Peru







1,890 2,644 2,07365 44 413.6 3.4 3.02.1 1.0 1.4

39 50 501,181 509 589

127 127 123623 552 516

23.0 28.5 24.82.5 0.1 0.2

17.2 14.7 11.2396760

21632.3

7.1 3.6 3.9451 1,295 1,013

19.2 12.8 16.3586 1,883 1,31068.4 82.2 80.014.4 14.7 15.2

0.3 0.9 0.80.8 3.8 2.8

53.5 135.9 105.723 69 6998 113 97

5,399 4,940 3,154

6.0 10.2 8.774 74 8193 87 8688 81 8196 96 9478 66 5272 59 4181 75 69

10.07.432 29 64

30.3 47.3 41.18.4 10.1 9.62.2 2.0 2.30.5 7.2 8.10.8 1.5 1.40.1 0.0 0.20.3 1.1 1.10.1 0.7 0.6

22.3 28.6 22.4


Country data

East Asia & Pacific

group


Philippines







11,730 7,350 7,85261 64 75

0.0 0.2 1.50.0 0.1 1.0

53 28 302,620 2,797 3,399

103 113 120118 144 146

30.4 38.4 37.3–0.2 0.0 0.224.3 7.8 14.0

5664

0.5

6.1 3.7 5.22,547 2,948 2,130

5.4 2.1 7.33,662 3,958 3,052

96.4 68.9 63.41.5 16.2 27.5

0.6 0.7 0.58.3 7.3 5.2

–8.5 –30.0 –4.937 27 32

386 376 374

1,406 11,867 18,876

30.2 7.2 13.88 60 58.. 95 94.. 88 82

100 99 98.. 89 82.. 79 63.. 94 89

..

..7 22 23

19.1 24.8 23.812.7 12.1 12.15.4 4.1 4.21.5 12.1 9.40.3 0.6 1.30.1 0.0 0.00.5 0.8 0.50.2 0.2 0.29.2 3.2 4.6

Country data

Europe & Central

Asia group



Poland







20,680 39,68859 781.6 1.00.4 0.7

38 386,188 28,475

96 101403 341

42.2 28.9–1.3 –0.16.6 19.1118

3816

5.5

9.0 6.52,363 5,321

12.6 3.74,860 9,753

64.8 63.121.5 11.1

0.3 0.45.7 12.7

35.2 18.023 26

600 1,166

3,582 9,305

29.6 10.478 4399 100

100 9899 10099 10098 9999 100

..

..4 7

12.6 18.513.6 13.85.3 4.60.0 2.00.1 0.20.0 0.00.2 0.20.0 0.14.1 6.8

Country data

High-income group


Portugal







10,960 39,68898 782.3 1.00.6 0.7

21 38.. 28,475

93 101122 341

46.0 28.9–0.1 –0.16.8 19.1

38

13534.0

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.021 26

.. 1,166

1,802 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8


Country data

High-income group

Puerto Rico







.. 39,68896 78

5.8 1.05.6 0.7

6 38.. 28,475

77 101281 341

.. 28.9

.. –0.10.6 19.1

2470

0.1

3.4 6.519,504 5,321

0.0 3.712,915 9,753100.0 63.1

0.0 11.1

0.7 0.446.1 12.7

292.3 18.051 26

1,722 1,166

45 9,305

870.6 10.459 43

100 100100 98100 100100 100100 99100 100

7.88.810 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Qatar







8,280 7,350 7,85254 64 75

–0.3 0.2 1.5–0.4 0.1 1.0

59 28 306,952 2,797 3,399

91 113 120116 144 146

27.7 38.4 37.30.0 0.0 0.2

10.7 7.8 14.07

12161

0.7

5.6 3.7 5.21,806 2,948 2,130

8.9 2.1 7.32,452 3,958 3,052

61.6 68.9 63.425.9 16.2 27.5

0.5 0.7 0.54.6 7.3 5.2

–38.0 –30.0 –4.914 27 32

213 376 374

1,963 11,867 18,876

54.8 7.2 13.857 60 5888 95 9476 88 8299 99 9872 89 8254 79 6388 94 89

..

..14 22 23

25.0 24.8 23.811.7 12.1 12.13.4 4.1 4.22.4 12.1 9.40.1 0.6 1.30.0 0.0 0.00.4 0.8 0.50.0 0.2 0.2

13.7 3.2 4.6


Country data

Europe & Central

Asia group


Romania







9,660 7,350 7,85273 64 75

–0.3 0.2 1.5–0.2 0.1 1.0

13 28 303,043 2,797 3,399

123 113 12032 144 146

49.4 38.4 37.30.0 0.0 0.29.0 7.8 14.0335132

734.1

2.9 3.7 5.24,730 2,948 2,130

1.0 2.1 7.36,317 3,958 3,05266.4 68.9 63.417.5 16.2 27.5

0.9 0.7 0.511.0 7.3 5.2

–33.2 –30.0 –4.918 27 32

651 376 374

30,350 11,867 18,876

1.8 7.2 13.818 60 5897 95 9488 88 82

100 99 9887 89 8270 79 6393 94 89

..

..13 22 23

32.8 24.8 23.812.4 12.1 12.13.5 4.1 4.2

20.5 12.1 9.41.0 0.6 1.30.0 0.0 0.00.9 0.8 0.50.1 0.2 0.21.5 3.2 4.6

Country data

Europe & Central

Asia group



Russian Federation







440 1,077 52318 36 29

8.5 4.0 3.51.7 2.6 2.2

78 45 38212 330 318120 119 125646 353 666

21.7 26.1 24.7–3.1 0.7 0.77.6 12.4 11.9191093

0.9

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.1 0.5 0.40.09 0.82 0.5116.7 37.4 –6.0

26 53 65.. 61 37

1,005 4,829 5,004

1.6 3.2 9.468 87 8865 58 6761 46 6082 81 8623 31 3820 24 3334 42 52

17.114.1112 144 118

25.4 16.5 25.96.7 9.0 7.94.6 3.3 3.40.0 14.2 7.80.0 1.3 1.03.0 0.6 1.00.2 0.6 0.70.1 0.4 0.3

20.1 –6.2 10.7


Country data


Low-income group

Rwanda







2,820 2,644 2,07323 44 411.0 3.4 3.00.6 1.0 1.4

30 50 501,910 509 589

106 127 123553 552 516

60.4 28.5 24.8–1.6 0.1 0.23.6 14.7 11.2

2782

1.6

.. 3.6 3.9

.. 1,295 1,013

.. 12.8 16.3

.. 1,883 1,310

.. 82.2 80.0

.. 14.7 15.2

0.2 0.9 0.80.9 3.8 2.8

26.5 135.9 105.7.. 69 69.. 113 97

.. 4,940 3,154

.. 10.2 8.7

.. 74 8188 87 8687 81 8190 96 94

100 66 52100 59 41100 75 69

..

..26 29 64

.. 47.3 41.110.3 10.1 9.6

4.0 2.0 2.30.0 7.2 8.10.0 1.5 1.40.3 0.0 0.20.2 1.1 1.1

.. 0.7 0.6

.. 28.6 22.4

Country data

East Asia & Pacific

group



Samoa







46,770 39,68894 78

.. 1.0

.. 0.7

17 38.. 28,475.. 101

178 341

1.7 28.90.0 –0.1

.. 19.10010

0.0

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.09 26.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..2 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


San Marino







1,030 1,077 2,07361 36 41

3.6 4.0 3.01.8 2.6 1.4

59 45 50.. 330 589

114 119 123705 353 516

28.5 26.1 24.80.0 0.7 0.2

.. 12.4 11.25

108

352.7

.. 3.2 3.9

.. 662 1,013

.. 55.8 16.3

.. 550 1,310

.. 67.0 80.0

.. 16.9 15.2

0.4 0.5 0.80.7 0.8 2.8

55.6 37.4 105.739 53 69

.. 61 97

13,829 4,829 3,154

.. 3.2 8.7

.. 87 8186 58 8683 46 8188 81 9424 31 5218 24 4129 42 69

5.0..

98 144 64

.. 16.5 41.18.4 9.0 9.6

.. 3.3 2.30.0 14.2 8.10.0 1.3 1.40.0 0.6 0.20.5 0.6 1.10.2 0.4 0.6

.. –6.2 22.4

Country data




São Tomé and Príncipe







17,870 39,68882 782.7 1.02.3 0.7

.. 3818,365 28,475

115 101124 341

1.4 28.90.0 –0.1

38.4 19.19

14163

3.2

3.5 6.56,223 5,321

0.0 3.77,247 9,753100.0 63.1

0.0 11.1

0.8 0.416.1 12.777.4 18.0113 26

1,256 1,166

99 9,305

986.1 10.488 4396 100

.. 9897 10099 100

.. 99100 100

8.89.121 7

48.3 18.512.5 13.8

7.2 4.643.5 2.0

0.0 0.20.0 0.00.6 0.20.7 0.1

–1.8 6.8

Country data

High-income group


Saudi Arabia








Country data


Low-income group

980 1,077 52342 36 293.1 4.0 3.52.7 2.6 2.2

45 45 38202 330 318

73 119 125231 353 666

44.6 26.1 24.70.5 0.7 0.7

25.0 12.4 11.9158

287

1.0

7.3 3.2 3.2225 662 423

45.9 55.8 49.3128 550 32485.1 67.0 41.610.8 16.9 41.9

0.2 0.5 0.40.4 0.8 0.5

33.9 37.4 –6.095 53 6548 61 37

2,169 4,829 5,004

8.6 3.2 9.493 87 8877 58 6765 46 6093 81 8628 31 38

9 24 3354 42 52

7.015.1108 144 118

18.0 16.5 25.98.6 9.0 7.94.5 3.3 3.40.0 14.2 7.80.9 1.3 1.00.0 0.6 1.00.3 0.6 0.70.5 0.4 0.3

12.2 –6.2 10.7

Senegal







5,590 7,350 7,85252 64 750.0 0.2 1.5

–0.2 0.1 1.0

57 28 30.. 2,797 3,399.. 113 120

108 144 146

23.6 38.4 37.3.. 0.0 0.2

2.7 7.8 14.06

1181

0.2

4.4 3.7 5.22,141 2,948 2,130

5.1 2.1 7.34,155 3,958 3,05272.5 68.9 63.427.5 16.2 27.5

.. 0.7 0.5

.. 7.3 5.2

.. –30.0 –4.9

.. 27 32250 376 374

.. 11,867 18,876

.. 7.2 13.8

.. 60 5899 95 9498 88 8299 99 9892 89 8288 79 6396 94 89

..

..7 22 23

.. 24.8 23.8

.. 12.1 12.1

.. 4.1 4.2

.. 12.1 9.4

.. 0.6 1.3

.. 0.0 0.0

.. 0.8 0.5

.. 0.2 0.2

.. 3.2 4.6

Country data

Europe & Central

Asia group



Serbia








Country data



10,220 1,077 7,85254 36 751.7 4.0 1.51.2 2.6 1.0

13 45 30652 330 3,399

89 119 1203,923 353 146

87.0 26.1 37.30.0 0.7 0.2

55.6 12.4 14.05

1014453.5

.. 3.2 5.2

.. 662 2,130

.. 55.8 7.3

.. 550 3,052

.. 67.0 63.4

.. 16.9 27.5

0.5 0.5 0.58.8 0.8 5.2

554.8 37.4 –4.9.. 53 32.. 61 374

.. 4,829 18,876

.. 3.2 13.87 87 58.. 58 94.. 46 82

100 81 98.. 31 82

100 24 63.. 42 89

..

..12 144 23

3.0 16.5 23.812.8 9.0 12.1

5.8 3.3 4.20.0 14.2 9.40.0 1.3 1.30.0 0.6 0.00.8 0.6 0.5

.. 0.4 0.2–4.8 –6.2 4.6

Seychelles







320 1,077 52338 36 292.5 4.0 3.51.7 2.6 2.2

44 45 38.. 330 318

183 119 125377 353 666

37.9 26.1 24.70.7 0.7 0.74.1 12.4 11.916101647

1.3

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.3 0.5 0.40.2 0.8 0.5

155.7 37.4 –6.050 53 65

.. 61 37

29,518 4,829 5,004

0.2 3.2 9.492 87 8853 58 6732 46 6083 81 8611 31 385 24 33

20 42 52

9.025.3194 144 118

5.5 16.5 25.97.0 9.0 7.93.9 3.3 3.40.0 14.2 7.80.5 1.3 1.01.5 0.6 1.00.4 0.6 0.70.8 0.4 0.3

–1.0 –6.2 10.7

Country data


Low-income group


Sierra Leone








Country data

High-income group

34,760 39,688100 782.6 1.02.6 0.7

1 3852,173 28,475

181 1010 341

3.3 28.90.0 –0.15.2 19.1121422540.1

8.1 6.55,831 5,321

0.0 3.78,514 9,753100.0 63.1

0.0 11.1

0.3 0.412.8 12.719.8 18.0

41 26535 1,166

131 9,305

.. 10.4

.. 43100 100

.. 98100 100100 100

.. 99100 100

..

..3 7

47.0 18.514.1 13.82.7 4.60.0 2.00.0 0.20.0 0.00.3 0.20.6 0.1

34.7 6.8

Singapore







16,590 39,68857 780.1 1.00.1 0.7

40 388,985 28,475

82 101171 341

40.2 28.90.0 –0.1

19.6 19.13772

0.1

5.9 6.53,307 5,321

3.5 3.75,250 9,753

27.1 63.116.0 11.1

0.4 0.46.9 12.7

–32.0 18.015 26

449 1,166

2,334 9,305

.. 10.4

.. 43100 100100 98100 100100 10099 99

100 100

..

..8 7

.. 18.513.1 13.8

3.7 4.60.1 2.00.0 0.20.4 0.00.4 0.20.0 0.1

.. 6.8

Country data

High-income group


Slovak Republic








Country data

High-income group

24,230 39,68849 78

–0.1 1.00.1 0.7

25 3854,639 28,475

103 101583 341

63.3 28.9–0.4 –0.16.6 19.1

44

240

0.2

7.2 6.53,632 5,321

6.5 3.77,138 9,75339.7 63.121.7 11.1

0.3 0.47.6 12.7

–16.9 18.030 26

853 1,166

9,251 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..4 7

27.0 18.513.6 13.85.3 4.60.1 2.00.0 0.20.2 0.00.2 0.20.1 0.1

18.1 6.8

Slovenia







1,010 2,644 2,07318 44 41

4.2 3.4 3.02.7 1.0 1.4

3 50 501,341 509 589

117 127 1232,565 552 516

74.8 28.5 24.81.6 0.1 0.20.8 14.7 11.217201216

4.4

.. 3.6 3.9

.. 1,295 1,013

.. 12.8 16.3

.. 1,883 1,310

.. 82.2 80.0

.. 14.7 15.2

0.2 0.9 0.80.4 3.8 2.8

11.4 135.9 105.737 69 69

.. 113 97

89,716 4,940 3,154

.. 10.2 8.7

.. 74 8170 87 8665 81 8194 96 9432 66 5218 59 4198 75 69

..

..36 29 64

81.2 47.3 41.110.4 10.1 9.63.8 2.0 2.30.0 7.2 8.10.0 1.5 1.4

19.4 0.0 0.20.4 1.1 1.10.1 0.7 0.6

54.7 28.6 22.4

Country data

East Asia & Pacific

group



Solomon Islands







Population (millions) 8.9 Land area (1,000 sq. km) 627 GDP ($ millions) ..

Country data


Low-income group

.. 1,077 52337 36 29

2.8 4.0 3.51.7 2.6 2.2

70 45 38.. 330 318

103 119 125558 353 666

11.1 26.1 24.71.0 0.7 0.70.6 12.4 11.914122617

6.1

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

.. 0.5 0.40.02 0.82 0.51

840.0 37.4 –6.031 53 65

.. 61 37

687 4,829 5,004

55.0 3.2 9.499 87 8829 58 6710 46 6063 81 8623 31 38

7 24 3351 42 52

..23.4200 144 118

.. 16.5 25.9

.. 9.0 7.9

.. 3.3 3.4

.. 14.2 7.8

.. 1.3 1.0

.. 0.6 1.0

.. 0.6 0.7

.. 0.4 0.3

.. –6.2 10.7

Somalia







5,820 1,077 7,85261 36 752.7 4.0 1.51.8 2.6 1.0

82 45 303,152 330 3,399

109 119 120131 353 146

7.6 26.1 37.30.0 0.7 0.26.0 12.4 14.023356574

20.7

3.3 3.2 5.22,807 662 2,130

10.2 55.8 7.34,986 550 3,052

95.2 67.0 63.40.4 16.9 27.5

1.0 0.5 0.58.7 0.8 5.2

24.3 37.4 –4.921 53 32

334 61 374

936 4,829 18,876

27.9 3.2 13.863 87 5893 58 9482 46 82

100 81 9859 31 8249 24 6366 42 89

19.013.2

67 144 23

16.1 16.5 23.813.9 9.0 12.1

5.1 3.3 4.26.4 14.2 9.42.6 1.3 1.30.5 0.6 0.01.3 0.6 0.50.1 0.4 0.2

–3.4 –6.2 4.6

Country data




South Africa







31,930 39,68877 781.0 1.00.9 0.7

57 3819,141 28,475

99 10181 341

37.1 28.9–1.9 –0.19.5 19.116155249

6.8

8.9 6.53,208 5,321

3.7 3.76,296 9,753

61.8 63.19.2 11.1

0.3 0.48.0 12.7

53.7 18.032 26

862 1,166

2,478 9,305

32.0 10.468 43

100 100100 98100 100100 100100 99100 100

..

..4 7

20.6 18.514.0 13.83.9 4.60.0 2.00.0 0.20.0 0.00.2 0.20.2 0.1

10.1 6.8

Country data

High-income group


Spain







1,780 963 2,07315 29 41

0.2 2.7 3.00.9 1.7 1.4

37 55 50845 496 589109 120 123

1,751 628 516

29.0 16.7 24.81.3 –0.1 0.2

20.6 5.5 11.2301331

2807.9

8.6 5.0 3.9464 484 1,01350.8 29.3 16.3417 482 1,310

59.9 78.6 80.039.9 17.0 15.2

0.2 0.5 0.80.6 1.1 2.8

214.8 118.9 105.782 78 69

107 37 97

2,499 1,194 3,154

25.2 51.7 8.795 90 8182 87 8679 84 8198 94 9486 33 5286 23 4189 57 69

..5.015 76 64

18.4 35.3 41.19.7 8.4 9.62.6 3.0 2.30.0 4.6 8.10.0 1.1 1.40.4 0.8 0.20.3 1.0 1.10.2 0.5 0.6

10.4 21.8 22.4

Country data

South Asia

group



Sri Lanka








Country data


group


10,870 6,768 7,85232 79 750.5 2.0 1.50.9 1.5 1.0

19 36 301,617 3,452 3,399

61 125 120826 233 146

20.4 44.9 37.30.0 0.5 0.25.1 22.8 14.0

21

142

0.1

.. 7.5 5.2

.. 1,273 2,130

.. 16.3 7.3

.. 1,866 3,052

.. 38.2 63.4

.. 55.8 27.5

0.2 0.3 0.52.8 2.6 5.2

105.6 40.0 –4.915 35 32

.. 317 374

492 24,004 18,876

.. 2.0 13.8

.. 71 5899 91 9499 73 8299 97 9896 78 8296 51 6396 86 89

..

..16 23 23

11.9 22.4 23.812.7 11.8 12.14.1 4.4 4.20.0 6.3 9.40.0 1.8 1.3

.. 0.0 0.00.2 0.3 0.5

.. 0.3 0.2

.. 6.3 4.6

St. Kitts and Nevis







5,410 6,768 7,85228 79 751.0 2.0 1.51.3 1.5 1.0

18 36 301,359 3,452 3,399

89 125 1204,054 233 146

27.9 44.9 37.30.0 0.5 0.2

18.5 22.8 14.025

156

1.4

.. 7.5 5.2

.. 1,273 2,130

.. 16.3 7.3

.. 1,866 3,052

.. 38.2 63.4

.. 55.8 27.5

0.2 0.3 0.52.3 2.6 5.2

131.1 40.0 –4.931 35 32

.. 317 374

.. 24,004 18,876

.. 2.0 13.8

.. 71 5898 91 9498 73 8298 97 9889 78 8289 51 6389 86 89

..

..13 23 23

–5.7 22.4 23.812.0 11.8 12.15.5 4.4 4.20.0 6.3 9.40.0 1.8 1.3

.. 0.0 0.00.3 0.3 0.50.0 0.3 0.2

.. 6.3 4.6

Country data


group



St. Lucia








Country data


group


5,050 6,768 7,85247 79 75

0.9 2.0 1.50.1 1.5 1.0

36 36 302,864 3,452 3,399

100 125 120831 233 146

27.9 44.9 37.3–0.8 0.5 0.216.3 22.8 14.0

22

164

1.0

.. 7.5 5.2

.. 1,273 2,130

.. 16.3 7.3

.. 1,866 3,052

.. 38.2 63.4

.. 55.8 27.5

0.2 0.3 0.51.8 2.6 5.2

145.5 40.0 –4.928 35 32

.. 317 374

.. 24,004 18,876

.. 2.0 13.8

.. 71 58

.. 91 9493 73 82

.. 97 98

.. 78 8296 51 63

.. 86 89

..

..13 23 23

13.6 22.4 23.811.5 11.8 12.15.8 4.4 4.20.0 6.3 9.40.0 1.8 1.30.0 0.0 0.00.3 0.3 0.50.1 0.3 0.27.6 6.3 4.6

St. Vincent & Grenadines







1,100 1,077 2,07343 36 415.1 4.0 3.02.3 2.6 1.4

58 45 50861 330 589123 119 123120 353 516

27.9 26.1 24.80.8 0.7 0.24.6 12.4 11.214131317

5.1

5.2 3.2 3.9363 662 1,01372.8 55.8 16.3

90 550 1,31068.0 67.0 80.032.0 16.9 15.2

0.2 0.5 0.80.3 0.8 2.8

94.5 37.4 105.7165 53 69

51 61 97

742 4,829 3,154

124.4 3.2 8.797 87 8170 58 8664 46 8178 81 9435 31 5224 24 4150 42 69

5.029.4109 144 64

15.9 16.5 41.19.9 9.0 9.60.9 3.3 2.3

19.1 14.2 8.10.1 1.3 1.40.0 0.6 0.20.2 0.6 1.10.5 0.4 0.6

–13.1 –6.2 22.4

Country data




Sudan








Country data


group


4,760 6,768 7,85275 79 75

1.8 2.0 1.51.3 1.5 1.0

1 36 303,344 3,452 3,399

106 125 120224 233 146

94.7 44.9 37.30.0 0.5 0.2

12.6 22.8 14.070

20262.7

.. 7.5 5.2

.. 1,273 2,130

.. 16.3 7.3

.. 1,866 3,052

.. 38.2 63.4

.. 55.8 27.5

0.8 0.3 0.54.8 2.6 5.2

34.6 40.0 –4.928 35 32

.. 317 374

172,425 24,004 18,876

0.8 2.0 13.8.. 71 58

92 91 9479 73 8297 97 9882 78 8260 51 6389 86 89

4.014.8

27 23 23

.. 22.4 23.812.2 11.8 12.1

3.4 4.4 4.20.0 6.3 9.41.5 1.8 1.30.0 0.0 0.00.7 0.3 0.50.2 0.3 0.2

.. 6.3 4.6

Suriname







2,600 1,077 2,07325 36 412.1 4.0 3.01.7 2.6 1.4

78 45 501,127 330 589

111 119 123487 353 516

32.0 26.1 24.8–0.9 0.7 0.23.1 12.4 11.2

473

110.1

.. 3.2 3.9

.. 662 1,013

.. 55.8 16.3

.. 550 1,310

.. 67.0 80.0

.. 16.9 15.2

0.2 0.5 0.80.9 0.8 2.8

138.8 37.4 105.733 53 69

.. 61 97

2,293 4,829 3,154

39.5 3.2 8.797 87 8160 58 8651 46 8187 81 9450 31 5246 24 4164 42 69

10.0..

83 144 64

10.7 16.5 41.19.6 9.0 9.66.4 3.3 2.30.0 14.2 8.10.0 1.3 1.40.0 0.6 0.20.3 0.6 1.10.0 0.4 0.67.1 –6.2 22.4

Country data




Swaziland








Country data

High-income group

50,910 39,68885 780.5 1.00.4 0.7

8 3845,327 28,475

100 10154 341

67.1 28.90.0 –0.1

10.4 19.113

123

0.3

6.2 6.55,512 5,321

19.6 3.715,238 9,753

2.2 63.144.5 11.1

0.2 0.45.6 12.7

–0.7 18.012 26

879 1,166

18,692 9,305

1.7 10.49 43

100 100100 98100 100100 100100 99100 100

..

..3 7

27.1 18.512.5 13.8

6.4 4.60.0 2.00.4 0.20.0 0.00.1 0.20.0 0.1

20.5 6.8

Sweden







55,510 39,68873 780.7 1.00.7 0.7

39 3823,837 28,475

103 101492 341

30.7 28.9–0.4 –0.128.6 19.1

22

113

0.2

11.0 6.53,406 5,321

8.2 3.78,164 9,753

1.4 63.153.0 11.1

0.2 0.45.6 12.7

–2.7 18.026 26

791 1,166

5,350 9,305

6.4 10.42 43

100 100100 98100 100100 100100 99100 100

..

..5 7

.. 18.513.3 13.8

4.7 4.60.0 2.00.0 0.20.0 0.00.1 0.20.1 0.1

.. 6.8

Country data

High-income group


Switzerland








Country data

Middle East &

N. Africa group


2,160 3,237 2,07354 57 413.2 2.6 3.02.7 2.0 1.4

76 23 504,394 2,896 589

120 120 123196 746 516

2.6 2.5 24.8–1.4 –0.4 0.20.7 3.8 11.21613270

0.9

4.2 5.0 3.9978 1,275 1,0130.0 1.1 16.3

1,469 1,435 1,31090.9 91.1 80.0

9.1 7.4 15.2

0.9 0.6 0.83.5 3.5 2.8

82.8 96.4 105.775 72 69

208 258 97

349 714 3,154

238.4 122.3 8.788 86 8189 88 8683 81 8195 95 9492 74 5288 59 4196 89 69

18.08.616 34 64

12.6 .. 41.110.1 10.5 9.62.6 4.4 2.3

17.6 18.6 8.11.1 1.5 1.40.0 0.1 0.21.1 0.7 1.10.7 0.4 0.6

–15.2 .. 22.4

Syrian Arab Republic







600 7,350 52326 64 290.4 0.2 3.51.4 0.1 2.2

33 28 38524 2,797 318166 113 125697 144 666

2.9 38.4 24.70.0 0.0 0.7

13.7 7.8 11.9898

140.7

2.9 3.7 3.2580 2,948 4230.0 2.1 49.3

2,176 3,958 3242.2 68.9 41.6

97.8 16.2 41.9

0.6 0.7 0.41.0 7.3 0.5

–73.4 –30.0 –6.050 27 65

225 376 37

9,855 11,867 5,004

18.0 7.2 9.492 60 8867 95 6758 88 6093 99 8692 89 3891 79 3395 94 52

1.020.8

64 22 118

25.5 24.8 25.98.2 12.1 7.93.2 4.1 3.40.4 12.1 7.80.0 0.6 1.00.0 0.0 1.01.1 0.8 0.70.3 0.2 0.3

18.8 3.2 10.7

Country data

Europe & Central

Asia group

Low-income group


Tajikistan








Country data


Low-income group

440 1,077 52326 36 29

4.5 4.0 3.52.8 2.6 2.2

39 45 38326 330 318132 119 125344 353 666

38.9 26.1 24.71.1 0.7 0.7

38.8 12.4 11.93440

13824014.8

2.5 3.2 3.2443 662 42388.6 55.8 49.3

82 550 32439.9 67.0 41.660.1 16.9 41.9

0.1 0.5 0.40.1 0.8 0.5

126.4 37.4 –6.025 53 6524 61 37

2,035 4,829 5,004

6.2 3.2 9.489 87 8855 58 6746 46 6081 81 8633 31 3834 24 3331 42 52

8.112.6104 144 118

.. 16.5 25.97.6 9.0 7.92.4 3.3 3.40.7 14.2 7.85.0 1.3 1.00.0 0.6 1.00.2 0.6 0.70.1 0.4 0.3

.. –6.2 10.7

Tanzania







3,670 2,644 2,07333 44 411.7 3.4 3.01.0 1.0 1.4

39 50 50675 509 589121 127 123295 552 516

28.2 28.5 24.80.6 0.1 0.2

20.4 14.7 11.2574450868.0

4.7 3.6 3.91,553 1,295 1,013

17.8 12.8 16.32,055 1,883 1,310

91.4 82.2 80.05.7 14.7 15.2

0.6 0.9 0.84.1 3.8 2.8

184.4 135.9 105.771 69 69

272 113 97

3,135 4,940 3,154

41.5 10.2 8.795 74 8198 87 8697 81 8199 96 9496 66 5296 59 4195 75 69

..

..14 29 64

30.7 47.3 41.110.9 10.1 9.64.8 2.0 2.35.3 7.2 8.10.0 1.5 1.40.2 0.0 0.20.8 1.1 1.10.2 0.7 0.6

18.0 28.6 22.4

Country data

East Asia & Pacific

group



Thailand







Population (millions) 1.1 Land area (1,000 sq. km) 15 GDP ($ billions) 498

Country data

East Asia & Pacific

group


2,460 2,644 2,07327 44 413.7 3.4 3.02.2 1.0 1.4

26 50 50.. 509 589

108 127 123458 552 516

52.2 28.5 24.81.3 0.1 0.2

14.6 14.7 11.24550

0.6

.. 3.6 3.9

.. 1,295 1,013

.. 12.8 16.3

.. 1,883 1,310

.. 82.2 80.0

.. 14.7 15.2

0.3 0.9 0.80.2 3.8 2.8

.. 135.9 105.7

.. 69 69

.. 113 97

.. 4,940 3,154

.. 10.2 8.7

.. 74 8162 87 8656 81 8177 96 9441 66 5232 59 4164 75 69

14.0..

93 29 64

.. 47.3 41.11.2 10.1 9.60.9 2.0 2.30.0 7.2 8.10.0 1.5 1.4

.. 0.0 0.20.1 1.1 1.1

.. 0.7 0.6

.. 28.6 22.4

Timor-Leste







410 1,077 52342 36 294.6 4.0 3.52.8 2.6 2.2

67 45 38394 330 318121 119 125150 353 666

6.4 26.1 24.73.9 0.7 0.7

11.1 12.4 11.9102

1610

0.3

2.0 3.2 3.2390 662 42385.1 55.8 49.3

96 550 32448.0 67.0 41.646.9 16.9 41.9

0.3 0.5 0.40.2 0.8 0.5

57.8 37.4 –6.035 53 6534 61 37

1,825 4,829 5,004

1.5 3.2 9.445 87 8859 58 6740 46 6086 81 8612 31 38

3 24 3324 42 52

9.031.1

98 144 118

.. 16.5 25.97.3 9.0 7.93.7 3.3 3.40.0 14.2 7.85.2 1.3 1.02.5 0.6 1.00.4 0.6 0.70.1 0.4 0.3

.. –6.2 10.7

Country data


Low-income group


Togo








Country data

East Asia & Pacific

group


2,690 2,644 2,07325 44 411.0 3.4 3.00.5 1.0 1.4

43 50 503,285 509 589

104 127 123519 552 516

5.0 28.5 24.80.0 0.1 0.2

25.5 14.7 11.22494

1.0

.. 3.6 3.9

.. 1,295 1,013

.. 12.8 16.3

.. 1,883 1,310

.. 82.2 80.0

.. 14.7 15.2

0.4 0.9 0.81.3 3.8 2.8

71.4 135.9 105.7.. 69 69.. 113 97

.. 4,940 3,154

.. 10.2 8.7

.. 74 81100 87 86100 81 81100 96 94

96 66 5296 59 4198 75 69

..

..19 29 64

1.5 47.3 41.19.5 10.1 9.63.8 2.0 2.30.0 7.2 8.10.0 1.5 1.40.0 0.0 0.20.3 1.1 1.1

.. 0.7 0.6—4.5 28.6 22.4

Tonga







16,590 39,68813 78

3.0 1.00.5 0.7

11 381,298 28,475

109 1014,629 341

43.9 28.90.3 –0.1

35.0 19.122

191

2.2

2.0 6.511,506 5,321

0.1 3.75,642 9,753

99.9 63.10.0 11.1

1.2 0.425.4 12.798.1 18.0101 26548 1,166

2,891 9,305

8.1 10.46 43

94 10093 9897 10092 10092 9992 100

3.0..

35 7

41.8 18.513.1 13.84.0 4.6

50.5 2.00.0 0.20.0 0.01.2 0.20.2 0.1

–19.2 6.8

Country data

High-income group


Trinidad and Tobago








Country data

Middle East &

N. Africa group


3,480 3,237 2,07367 57 412.1 2.6 3.01.3 2.0 1.4

63 23 503,497 2,896 589

118 120 123126 746 516

7.0 2.5 24.8–3.2 –0.4 0.21.5 3.8 11.2148

200

0.5

8.2 5.0 3.9864 1,275 1,01313.6 1.1 16.3

1,248 1,435 1,31099.4 91.1 80.00.3 7.4 15.2

0.3 0.6 0.82.3 3.5 2.8

74.3 96.4 105.730 72 69

156 258 97

410 714 3,154

62.9 122.3 8.782 86 8194 88 8684 81 8199 95 9485 74 5264 59 4196 89 69

9.05.821 34 64

22.6 .. 41.111.1 10.5 9.66.7 4.4 2.35.8 18.6 8.14.7 1.5 1.40.1 0.1 0.20.5 0.7 1.10.1 0.4 0.67.0 .. 22.4

Tunisia







9,020 7,350 7,85269 64 752.4 0.2 1.51.5 0.1 1.0

51 28 303,153 2,797 3,399

101 113 120106 144 146

13.3 38.4 37.3–0.3 0.0 0.21.9 7.8 14.0171560

36.2

8.7 3.7 5.21,370 2,948 2,130

5.1 2.1 7.32,238 3,958 3,052

80.9 68.9 63.418.7 16.2 27.5

0.3 0.7 0.53.7 7.3 5.2

83.8 –30.0 –4.940 27 32

219 376 374

3,109 11,867 18,876

17.7 7.2 13.874 60 5897 95 9495 88 8298 99 9888 89 8272 79 6396 94 89

29.029.7

22 22 23

17.7 24.8 23.811.8 12.1 12.1

3.7 4.1 4.20.3 12.1 9.40.1 0.6 1.30.0 0.0 0.00.3 0.8 0.50.6 0.2 0.28.3 3.2 4.6

Country data

Europe & Central

Asia group



Turkey








Country data

Europe & Central

Asia group


2,840 7,350 2,07349 64 412.2 0.2 3.01.8 0.1 1.4

69 28 50305 2,797 589132 113 123139 144 516

8.8 38.4 24.80.0 0.0 0.22.6 7.8 11.2

91512

31.8

1.6 3.7 3.93,631 2,948 1,013

0.0 2.1 16.32,279 3,958 1,310100.0 68.9 80.0

0.0 16.2 15.2

1.7 0.7 0.89.0 7.3 2.8

39.3 –30.0 105.755 27 69

182 376 97

273 11,867 3,154

1812.5 7.2 8.798 60 81

.. 95 86

.. 88 81

.. 99 94

.. 89 52

.. 79 41

.. 94 69

1.03.248 22 64

32.1 24.8 41.110.9 12.1 9.6

.. 4.1 2.3133.3 12.1 8.1

0.0 0.6 1.4.. 0.0 0.2

3.1 0.8 1.10.6 0.2 0.6

.. 3.2 22.4

Turkmenistan







420 1,077 52313 36 294.1 4.0 3.53.2 2.6 2.2

65 45 38186 330 318106 119 125486 353 666

17.5 26.1 24.72.1 0.7 0.7

26.1 12.4 11.9211854382.8

.. 3.2 3.2

.. 662 423

.. 55.8 49.3

.. 550 324

.. 67.0 41.6

.. 16.9 41.9

0.09 0.46 0.380.09 0.82 0.51

230.9 37.4 –6.012 53 65

.. 61 37

1,273 4,829 5,004

.. 3.2 9.4

.. 87 8864 58 6760 46 6090 81 8633 31 3834 24 3329 42 52

22.019.6135 144 118

12.6 16.5 25.97.4 9.0 7.93.3 3.3 3.40.0 14.2 7.80.0 1.3 1.05.1 0.6 1.00.1 0.6 0.70.0 0.4 0.33.3 –6.2 10.7

Country data


Low-income group


Uganda








Country data

Europe & Central

Asia group


3,210 7,350 2,07368 64 41

–0.5 0.2 3.0–0.6 0.1 1.4

71 28 502,019 2,797 589

108 113 12346 144 516

16.6 38.4 24.8–0.2 0.0 0.23.4 7.8 11.2111220

10.5

2.2 3.7 3.92,953 2,948 1,013

0.6 2.1 16.33,529 3,958 1,310

47.6 68.9 80.05.2 16.2 15.2

1.1 0.7 0.86.8 7.3 2.8

–53.7 –30.0 105.721 27 69

266 376 97

1,142 11,867 3,154

70.7 7.2 8.752 60 8197 95 8697 88 8197 99 9493 89 5283 79 4197 94 69

..

..16 22 64

20.2 24.8 41.110.5 12.1 9.65.9 4.1 2.35.3 12.1 8.10.0 0.6 1.40.0 0.0 0.21.6 0.8 1.10.2 0.2 0.68.5 3.2 22.4

Ukraine







26,360 39,68878 78

4.8 1.04.9 0.7

7 3830,334 28,475

55 1011,383 341

3.7 28.9–1.4 –0.10.3 19.1

7890

0.2

4.5 6.511,832 5,321

0.0 3.716,165 9,753100.0 63.1

0.0 11.1

0.6 0.432.9 12.7

154.6 18.0127 26

1,867 1,166

34 9,305

2,665.3 10.483 43

100 100100 98100 100

97 10095 9998 100

6.28.8

8 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


United Arab Emirates








Country data

High-income group

46,040 39,68890 780.5 1.00.4 0.7

73 3827,173 28,475

93 101102 341

11.8 28.9–0.5 –0.122.3 19.1

52

3414

3.5

9.9 6.53,464 5,321

1.9 3.76,120 9,75378.4 63.1

1.3 11.1

0.3 0.49.4 12.7

–0.9 18.015 26

735 1,166

2,377 9,305

6.6 10.43 43

100 100100 98100 100

.. 100

.. 99

.. 100

..

..6 7

14.8 18.513.7 13.85.1 4.62.1 2.00.0 0.20.0 0.00.2 0.20.0 0.13.9 6.8

United Kingdom







46,350 39,68882 781.5 1.01.1 0.7

45 3845,418 28,475

109 10133 341

33.1 28.9–0.1 –0.127.1 19.1

3774

164244

94.2

5.5 6.57,766 5,321

3.5 3.713,652 9,753

72.0 63.15.8 11.1

0.5 0.419.3 12.718.2 18.0

21 262,110 1,166

9,293 9,305

17.1 10.441 4399 10094 98

100 100100 10099 99

100 100

..

..8 7

12.6 18.514.0 13.84.8 4.61.9 2.00.1 0.20.0 0.00.3 0.20.1 0.10.9 6.8

Country data

High-income group


United States








Country data


group


8,260 6,768 7,85292 79 750.6 2.0 1.50.4 1.5 1.0

84 36 309,212 3,452 3,399

126 125 12019 233 146

8.8 44.9 37.3–3.2 0.5 0.20.4 22.8 14.0102428

11.2

11.4 7.5 5.2953 1,273 2,13016.4 16.3 7.3

2,197 1,866 3,05213.0 38.2 63.485.6 55.8 27.5

0.2 0.3 0.52.1 2.6 5.2

71.9 40.0 –4.9175 35 32252 317 374

17,750 24,004 18,876

5.3 2.0 13.896 71 58

100 91 94100 73 82100 97 98100 78 8299 51 63

100 86 89

..

..14 23 23

18.2 22.4 23.811.9 11.8 12.12.6 4.4 4.20.0 6.3 9.40.0 1.8 1.30.4 0.0 0.00.2 0.3 0.51.1 0.3 0.27.2 6.3 4.6

Uruguay







910 7,350 52337 64 291.1 0.2 3.51.6 0.1 2.2

63 28 382,345 2,797 318

139 113 125395 144 666

7.8 38.4 24.7–0.5 0.0 0.71.9 7.8 11.911158

151.1

1.3 3.7 3.21,812 2,948 423

0.0 2.1 49.31,658 3,958 32486.9 68.9 41.613.1 16.2 41.9

2.1 0.7 0.44.4 7.3 0.5

–10.1 –30.0 –6.055 27 65

123 376 37

608 11,867 5,004

357.0 7.2 9.493 60 8888 95 6782 88 6098 99 8696 89 3895 79 3397 94 52

0.05.338 22 118

40.5 24.8 25.98.5 12.1 7.99.4 4.1 3.4

51.1 12.1 7.80.0 0.6 1.00.0 0.0 1.04.0 0.8 0.70.4 0.2 0.3

–14.1 3.2 10.7

Country data

Europe & Central

Asia group

Low-income group


Uzbekistan








Country data

East Asia & Pacific

group


1,940 2,644 2,07325 44 41

4.0 3.4 3.02.5 1.0 1.4

12 50 501,074 509 589

109 127 123863 552 516

36.1 28.5 24.80.0 0.1 0.24.5 14.7 11.2

88

11102.1

.. 3.6 3.9

.. 1,295 1,013

.. 12.8 16.3

.. 1,883 1,310

.. 82.2 80.0

.. 14.7 15.2

0.1 0.9 0.80.4 3.8 2.8

31.6 135.9 105.718 69 69

.. 113 97

.. 4,940 3,154

.. 10.2 8.7

.. 74 81

.. 87 86

.. 81 81

.. 96 94

.. 66 52

.. 59 41

.. 75 69

..

..33 29 64

.. 47.3 41.1

.. 10.1 9.65.9 2.0 2.3

.. 7.2 8.1

.. 1.5 1.4

.. 0.0 0.2

.. 1.1 1.10.0 0.7 0.6

.. 28.6 22.4

Vanuatu







9,230 6,768 7,85293 79 752.5 2.0 1.51.9 1.5 1.0

24 36 307,842 3,452 3,399

108 125 12073 233 146

53.4 44.9 37.30.6 0.5 0.2

71.3 22.8 14.032262969

25.3

4.9 7.5 5.22,319 1,273 2,130

0.8 16.3 7.33,077 1,866 3,052

27.7 38.2 63.472.3 55.8 27.5

0.6 0.3 0.56.3 2.6 5.2

40.5 40.0 –4.911 35 32

559 317 374

26,287 24,004 18,876

1.2 2.0 13.847 71 58

.. 91 94

.. 73 82

.. 97 98

.. 78 82

.. 51 63

.. 86 89

9.0..

18 23 23

34.6 22.4 23.811.9 11.8 12.13.5 4.4 4.2

18.6 6.3 9.40.6 1.8 1.30.0 0.0 0.00.5 0.3 0.50.0 0.3 0.26.5 6.3 4.6

Country data


group



Venezuela, RB








Country data

East Asia & Pacific

group

Low-income group

890 2,644 52328 44 29

3.2 3.4 3.51.5 1.0 2.2

32 50 38343 509 318127 127 125974 552 666

43.3 28.5 24.7–2.1 0.1 0.75.6 14.7 11.9543933

14712.1

3.7 3.6 3.2655 1,295 42344.0 12.8 49.3728 1,883 32457.0 82.2 41.643.0 14.7 41.9

0.6 0.9 0.41.3 3.8 0.5

395.8 135.9 –6.055 69 6592 113 37

4,304 4,940 5,004

19.5 10.2 9.468 74 8892 87 6790 81 6098 96 8665 66 3856 59 3388 75 52

20.011.3

14 29 118

30.4 47.3 25.98.8 10.1 7.92.8 2.0 3.4

12.9 7.2 7.80.3 1.5 1.00.2 0.0 1.01.0 1.1 0.70.3 0.7 0.39.7 28.6 10.7

Vietnam







.. 39,68895 780.7 1.00.3 0.7

11 38.. 28,475

101 101589 341

26.0 28.91.6 –0.1

20.7 19.121

1111

0.2

.. 6.5

.. 5,321

.. 3.7

.. 9,753

.. 63.1

.. 11.1

.. 0.4

.. 12.7

.. 18.039 26

.. 1,166

.. 9,305

.. 10.4

.. 43

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

..

..

.. 7

.. 18.5

.. 13.8

.. 4.6

.. 2.0

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 6.8

Country data

High-income group


Virgin Islands (U.S.)








Country data

Middle East &

N. Africa group


1,250 3,237 2,07372 57 414.1 2.6 3.03.8 2.0 1.4

62 23 50.. 2,896 589

92 120 123991 746 516

1.5 2.5 24.80.0 –0.4 0.2

.. 3.8 11.23710..

.. 5.0 3.9

.. 1,275 1,013

.. 1.1 16.3

.. 1,435 1,310

.. 91.1 80.0

.. 7.4 15.2

.. 0.6 0.80.8 3.5 2.8

.. 96.4 105.7

.. 72 69

.. 258 97

.. 714 3,154

.. 122.3 8.745 86 8189 88 8688 81 8190 95 9480 74 5269 59 4184 89 69

17.0..

27 34 64

.. .. 41.1

.. 10.5 9.6

.. 4.4 2.3

.. 18.6 8.1

.. 1.5 1.4

.. 0.1 0.2

.. 0.7 1.1

.. 0.4 0.6

.. .. 22.4

West Bank and Gaza







960 3,237 52331 57 29

5.6 2.6 3.53.5 2.0 2.2

45 23 38470 2,896 318128 120 125

1,133 746 666

1.0 2.5 24.70.0 –0.4 0.70.3 3.8 11.9

91318

1593.2

6.8 5.0 3.2324 1,275 4231.1 1.1 49.3

202 1,435 324100.0 91.1 41.6

0.0 7.4 41.9

0.4 0.6 0.41.0 3.5 0.5

.. 96.4 –6.0

.. 72 6584 258 37

94 714 5,004

161.9 122.3 9.490 86 8866 88 6765 81 6068 95 8646 74 3830 59 3388 89 52

24.027.5

69 34 118

.. .. 25.99.4 10.5 7.9

.. 4.4 3.422.3 18.6 7.8

0.0 1.5 1.00.0 0.1 1.00.7 0.7 0.7

.. 0.4 0.3

.. .. 10.7

Country data

Middle East &

N. Africa group

Low-income group


Yemen, Rep.








950 1,077 52335 36 292.0 4.0 3.52.6 2.6 2.2

34 45 38225 330 318115 119 125152 353 666

55.9 26.1 24.71.0 0.7 0.7

41.1 12.4 11.98

12108

3.8

2.0 3.2 3.2604 662 42378.3 55.8 49.3720 550 3240.6 67.0 41.6

99.4 16.9 41.9

0.2 0.5 0.40.2 0.8 0.51.0 37.4 –6.040 53 6528 61 37

6,513 4,829 5,004

2.2 3.2 9.476 87 8858 58 6741 46 6090 81 8652 31 3851 24 3355 42 52

15.021.2148 144 118

21.4 16.5 25.99.5 9.0 7.91.3 3.3 3.40.1 14.2 7.8

13.4 1.3 1.00.0 0.6 1.00.2 0.6 0.70.3 0.4 0.3

–0.7 –6.2 10.7

Country data


Low-income group

Zambia







360 1,077 52337 36 29

2.4 4.0 3.51.0 2.6 2.2

40 45 38239 330 318

84 119 125243 353 666

43.7 26.1 24.71.6 0.7 0.7

15.8 12.4 11.98

113

171.9

0.2 3.2 3.2759 662 423

65.0 55.8 49.3898 550 324

43.2 67.0 41.656.8 16.9 41.9

5.0 0.5 0.40.9 0.8 0.5

–33.5 37.4 –6.027 53 6531 61 37

985 4,829 5,004

34.3 3.2 9.479 87 8881 58 6772 46 6098 81 8646 31 3837 24 3363 42 52

16.013.9

96 144 118

.. 16.5 25.9

.. 9.0 7.96.9 3.3 3.4

.. 14.2 7.8

.. 1.3 1.0

.. 0.6 1.0

.. 0.6 0.70.1 0.4 0.3

.. –6.2 10.7

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 toilets with a sewerage connection. To be effective, facilities must be

correctly constructed and properly maintained. (World Health Organization;

data are for 2006)

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; tubewell or borehole; protected dug well or spring; or rainwater

collection. Unimproved sources include an unprotected dug well or spring,

cart with small tank or drum, bottled water, and tanker trucks. Reasonable

access to an adequate amount means the availability of at least 20 liters a

person a day from a source within 1 kilometer of the dwelling. (World Health

Organization; data are for 2006)

Acute respiratory infection prevalence is the percentage of children

under age five with acute respiratory infection in the two weeks prior to the

survey. (United Nations Children’s Fund; data are for the most recent year

available during 1998–2005)

Adjusted net savings equal gross savings minus consumption of fixed capi-

tal, plus education expenditures, minus energy depletion, mineral depletion,

net forest depletion, and particulate emissions and carbon dioxide damage.

(World Bank; data are for 2008)

Agricultural land is arable land, land under permanent crops, and perma-

nent 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 2007)

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 2010 for details;

data are for 2003–05)

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 emit-

ted. (World Bank estimates; data are for 2008)

Glossary


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 1990–2006)

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 2006)

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 2006)

Consumption of fixed capital is the replacement value of capital used

up in the process of production. (United Nations; data are extrapolated to

2006 from the most recent year available)

Deforestation is the permanent conversion of natural forest area to other

uses, including shifting cultivation, permanent agriculture, ranching, settle-

ments, and infrastructure development. Deforested areas do not include

areas logged but intended for regeneration or areas degraded by fuelwood

gathering, acid precipitation, or forest fires. Negative numbers indicate an

increase in forest areas. (Food and Agriculture Organization; data are for

1990–2007)

Diarrhea prevalence is the percentage of children under age five who had

diarrhea in the two weeks prior to the survey. (United Nations Children’s Fund;

data are for the most recent year available during 1998–2005)

Education expenditure is public current operating expenditures in edu-

cation, including wages and salaries and excluding capital investments in

buildings and equipment. (United Nations; data are extrapolated to 2008

from the most recent year available)

Electricity generated using fossil fuel is use of coal, oil, and gas as

a percentage of total inputs to the generation of electricity. (International

Energy Agency; data are for 2007)

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 2007)

Electric power consumption per capita is the production of power plants

and combined heat and power plants, minus transmission, distribution, and

transformation losses and own use by heat and power plants plus imports

minus exports divided by midyear population. (International Energy Agency;

data are for 2007)

Glossary


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 2010 for details.)

Energy from biomass products and waste is energy from solid biomass,

liquid biomass, biogas, industrial waste, and municipal waste as a percentage

of total energy use. (International Energy Agency; data are for 2007)

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 2007)

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

2007)

Forest area is land under natural or planted stands of trees, whether produc-

tive or not. (Food and Agriculture Organization; data are for 2007)

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 2010, 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 2010,

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 subsi-

dies not included in the value of the products. It is calculated without deduc-

tions 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 2008)

GDP per unit of energy use is 2005 gross domestic product (GDP) in

purchasing power parity (PPP) terms per kilogram of oil equivalent of energy

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. dollar has in the United States. (International Energy Agency and World

Bank; data are for 2007)

GEF benefits index for biodiversity is a composite index of relative bio-

diversity potential for each country developed by the Global Environment

Facility, based on the species represented in each country, their threat status,

and the diversity of habitat types in each country. The index shown in the tables

has been normalized so that values run from 0 (no biodiversity potential) to

100 (maximum biodiversity potential) (World Bank; estimates are for 2008)

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 current U.S.

dollars, converted using the World Bank Atlas method (see World Development

Indicators 2010, Statistical methods). (World Bank, Organization for Economic

Co-operation and Development, and United Nations; data are for 2008)

Gross savings are the difference between gross national income and

public and private consumption plus net current transfers. (World Bank,

Organization for Economic Co-operation and Development, and International

Monetary Fund; data are for 2008)

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 2007)

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 2010 for details.)

Nationally protected area is totally or partially protected areas of at least

1,000 hectares that are designated as national parks, natural monuments,

nature reserves or wildlife sanctuaries; protected landscapes and seascapes;

and scientific reserves. It includes World Conservation Union–protected area

categories I–VI. (World Conservation Monitoring Centre; data are for the most

recent year available)

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

of roundwood harvest over natural growth. If growth exceeds harvest, this

figure is zero. (Food and Agriculture Organization and World Bank estimates

of natural growth; data are for 2008)

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 2007)

Glossary


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 2006)

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 2008)

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 2008)

Population growth is the exponential change in population for the period

indicated. (United Nations; data are for 1990–2008)

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 2008)

Threatened species, fish, are the number of species of fish—cold-blooded

aquatic vertebrates of the superclass Pisces—classified by the IUCN as endan-

gered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.

(World Conservation Monitoring Centre and IUCN; data are for 2008)

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 2008)

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 2008)

Transport sector energy use per capita is the total energy consumption

in the transport sector divided by midyear population (International Energy

Agency 2009; data are for 2007).

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 2008)

Urban population is the share of the midyear population living in areas

defined as urban in each country (United Nations; data are for 2008)

Urban population growth is the exponential change in urban population for

the period indicated. (United Nations; data are for 1990–2008)


CDIAC (Carbon Dioxide Information Analysis Center). 2009. Global CO2

Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring:

1751–2006. Environmental Sciences Division, Oak Ridge National

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

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