The Little Green Data Book 2012 - ISBN: 9780821389935

From World Development Indicators

The Little Green Data Book

Agriculture

Forests and biodiversity

Oceans

Energy and emissions

Water and sanitation

Environment and health

National accounting aggregates

12

2012 THE LITTLE GREENDATA BOOK

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

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

U.S.A.

All rights reservedManufactured in the United States of America

First printing June 2012

ISBN: 978-0-8213-8993-5eISBN: 978-0-8213-9517-2

DOI: 10.1596/978-0-8213-8993-5SKU: 18993

The Little Green Data Book 2012 is a product of theDevelopment Data Group of the Development Economics Vice Presidency

and the Environment Department of the World Bank.

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

iiiThe Little Green Data Book 2012

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

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

Focus: Oceans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi

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

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

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

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

Glossary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241

Contents

iv 2012 The Little Green Data Book

The Little Green Data Book 2012 is based on World Development Indicators

2012 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 2012.

The Little Green Data Book 2012 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. Liu Cui, Mahyar Eshragh-Tabary, Peter Kristensen, Glenn-

Marie Lange, Elisabeth Mealey, Esther Naikal, Urvashi Narain, William Prince,

Jomo Tariku, and John Virdin contributed to its preparation. Azita Amjadi and

Alison Kwong coordinated the production of the book. Staff from External

Affairs oversaw publication and distribution of the book.

Acknowledgments

vThe Little Green Data Book 2012

ForewordWelcome to The Little Green Data Book 2012, which comes to you in the year

of the Rio+20 Conference, marking the 20th anniversary of the 1992 United

Nations Conference on Environment and Development in Rio de Janeiro. World

leaders and thousands of other participants from governments, the private

sector, civil society organizations, and other stakeholders, will come together

in June in Rio de Janeiro to discuss progress and challenges in balancing

the social, economic, and environmental pillars of sustainable development.

While substantial progress has been made on the economic and social

pillars, environmental goals are far from being met, partly due to the lack

of measurement of natural capital and the goods and services it provides.

Recognizing this need, for nearly 15 years the World Bank has constructed

global comprehensive wealth accounts, including natural capital accounts

for agricultural land, forests, protected areas, and subsoil assets. Measures

of natural resource depletion have been included in The Little Green Data

Book through the Adjusted Net Savings indicators, and last year’s edition

introduced a new indicator, adjusted Net National Income, which provides

a broader measure of national income that accounts for the depletion of

energy, mineral and forest resources. These measures, along with efforts of

the World Bank–facilitated partnership—Wealth Accounting and Valuation of

Ecosystem Services (WAVES)—aim to help countries incorporate their natural

resources into their national accounts to make better economic decisions.

This year’s edition of The Little Green Data Book includes a focus story on

oceans and its ecosystem services, as well as estimates of global marine

fisheries wealth accounts—a first step in capturing the value of this important

resource stock. A new set of ocean-related indicators are also introduced,

highlighting the role of oceans in economic development and providing

policy makers the information to make better decisions for the sustainable

management of oceans. These and other related data are freely available

online at data.worldbank.org as part of the World Bank’s Open Data Initiative.

For more than a decade, The Little Green Data Book has served as a knowledge

resource that aids policy makers in using environmental data more effectively

to support priority-setting and improve development outcomes. It is the

result of close collaboration between the Development Data Group of the

Development Economics Vice Presidency and the Environment Department

of the Sustainable Development Vice Presidency of the World Bank. We

welcome your suggestions on how to improve future editions and make

them even more useful.

Shaida Badiee Mary Barton-Dock

Director Director

Development Data Group Environment

vi 2012 The Little Green Data Book

Focus: OceansThe oceans cover some 71 percent of the Earth’s surface, and are both an

engine for global economic growth and a key source of our food security. An

estimated 61 percent of the world’s total Gross National Income (GNI) comes

from the areas within 100 kilometers of the coastline, and the oceans as a

whole provide 16 percent of animal protein for the entire population (UNEP,

2006; FAO, 2010). The economy supported by the oceans is broad, and

includes transport and shipping, oil, gas and minerals extraction, tourism

and fisheries, among others. Ocean fisheries and aquaculture alone support

some 250 million livelihoods around the world and produce seafood with

a first sale value of more than US$190 billion. Data on current fisheries

production and on growth in capture fisheries and aquaculture production

have been included this year in the country tables.

Within this ocean economy, many of the goods and services depend

specifically on a healthy ‘living ocean’, i.e., healthy ocean ecosystems. The

wealth of seafood, nature-based tourism, coastal protection, carbon storage

and a vast array of other goods and services (‘ecosystem services’) can only

be provided by a healthy living ocean. However, ocean ecosystem services

are currently contributing far less to global economic growth than they could

be, largely as a result of human actions changing the underlying natural

systems. With the exponential increases in population growth and economic

activity that occurred over the last half century, the environmental status

of the living ocean is changing at a rate and scale not seen since the rise

of modern civilization.

• Overfishing: 85 percent of the world’s ocean fisheries are fully exploited,

over-exploited or depleted, causing annual global efficiency losses

of $50 billion. With better management, global fisheries can be a

substantial source of economic return and wealth for countries,

particularly Small Island Developing States (see Box 1);

• Pollution: excess nitrogen runoff from fertilizers has resulted in large

‘dead zones’ in the ocean, covering some 250,000 km2—an area

the size of Great Britain;

• Habitat loss or conversion: an estimated 35 percent of global mangrove

area has been lost or converted, approximately 20 percent of the

planet’s coral reefs have been destroyed in the last few decades,

with more than a further 20 percent being degraded, and 30 percent

of sea grass beds have been destroyed.

Data on marine protected areas and area under mangroves and coral reefs

have been included in the country tables this year, identifying the countries

where these coastal habitats are still a prominent source of ecosystem

services.

Climate change is also affecting the ocean in ways that we are only beginning

to understand. Addressing the key drivers of the declining health of oceans—

overfishing, pollution and habitat loss—is therefore all the more important

to give the oceans the best chance to adapt to the changes caused by a

warming climate.

viiThe Little Green Data Book 2012

Enhancing the health of the oceans represents a significant opportunity—

to create a portfolio of sustainable ecosystem services that contribute to

economic growth. Countries around the world have started to recognize the

opportunity of sustainable socio-economic returns from the oceans, but

actions have not yet been implemented at a scale sufficient to truly impact

the provision of ocean ecosystem services to the global economy. Public

and private finance together with a coordinated global effort is needed for

the oceans. The World Bank has initiated the Global Partnership for Oceans

<www.globalpartnershipforoceans.org> whose aim is to sustainably enhance

the economic, social, and ecological performance of the ocean’s ecosystems

and living resources. One of the many efforts under this partnership will

be to further improve access to data on ocean resources to support policy

making for sustainable management of oceans.

Focus: OceansBox 1. Fisheries Wealth

The World Bank’s global comprehensive wealth accounts have included

natural capital accounts for agricultural land, forests, protected areas,

and subsoil assets. Wealth accounts for global marine fisheries—what

they are now and what they could be under better management—have

been estimated for the first time this year.

Results reveal the critical condition of today’s marine fisheries, where

global marine fisheries as a whole are not providing positive economic

returns. Rebuilding fisheries by defining clear access rights, removing

harmful subsidies, and cooperatively managing shared fish stocks can

result in potentially enormous economic gains: global fisheries wealth is

estimated to increase from $120 billion to $900 billion, with the potential

for the greatest gains in Asia (graph below). In addition, marine fisheries

are particularly important for Small Island Developing States (SIDS) and

many coastal communities both in the developing and developed worlds,

where SIDS across all regions benefit with substantially higher levels of

fisheries wealth when fisheries are rebuilt and sustainably managed.

Sumaila, et al., Marine Fisheries as a Source of Sustainable Wealth of

Nations. Working paper presented at 2012 AAAS Annual Meeting, February

2012.

0South, CentralAmerica andCaribbean

Africa Asia Europe NorthAmerica

Oceania World

100

Fish

erie

s W

ealt

h (U

S$

Bill

ion)

200

300

400

500

600

700

800

900

1,000Current Fisheries Wealth

Potential Fisheries Wealth

Rebuilding the World’s Fisheries

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

the Glossary.

• Growth rates are calculated as annual averages and represented as

percentages.

• Regional aggregates include data for low- and middle-income

economies only.

• Figures in italics indicate data for years or periods other than those

specified in the Glossary.

Symbols used:

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

be calculated because of missing data.

0 or 0.0 indicates zero or small enough that the number would round

to zero at the displayed number of decimal places.

$ indicates current U.S. dollars.

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

smaller economies if they are members of the World Bank. The term country

(used interchangeably with economy) does not imply political independence

or official recognition by the World Bank but refers to any economy for which

the authorities report separate social or economic statistics.

The selection of indicators in these pages includes some of those being

used to monitor progress toward the Millennium Development Goals. For

more information about the eight goals—halving poverty and increasing

well-being by 2015—please see the other books in the World Development

Indicators 2012 family of products.

Data notes

viii 2012 The Little Green Data Book

1The Little Green Data Book 2012

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

regions and may differ from common geographic usage.

East Asia and Pacific

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

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

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

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

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

Europe and Central Asia

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

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

Yugoslav Republic of Macedonia, Moldova, Montenegro, Romania,

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

Uzbekistan.

Latin America and the Caribbean

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

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

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

Nicaragua, Panama, Paraguay, Peru, St. Kitts and Nevis, St. Lucia, St.

Vincent and the Grenadines, Suriname, Uruguay, República Bolivariana

de Venezuela.

Middle East and North Africa

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

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

Bank and Gaza, Republic of Yemen.

South Asia

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

Lanka.

Sub-Saharan Africa

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

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

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

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

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

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

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

Tanzania, Togo, Uganda, Zambia, Zimbabwe.

GNI per capita, World Bank Atlas method ($)Adjusted net national income per capita ($)Urban population (% of total)Urban population growth (avg. annual %, 1990–2010) AgricultureAgricultural land (% land area)Agricultural productivity, value added per worker (2000 $)Food production index (2004–2006=100) Forests and biodiversityForest area (% land area)Deforestation (avg. annual %, 1990–2010)Nationally protected terrestrial areas (% of land area)Threatened species, mammalsThreatened species, birdsThreatened species, fishThreatened species, higher plantsGEF benefits index for biodiversity (0–100, median is 1.5) OceansTotal fisheries production (thousand metric tons)

Capture fisheries growth (avg. annual %, 1990–2010)Aquaculture growth (avg. annual %, 1990–2010)

Marine protected areas (% of territorial waters)Coral reef area (sq. km)Mangroves area (sq. km) Energy and emissionsEnergy use per capita (kg oil equivalent)Energy from biomass products and waste (% of total)Electric power consumption per capita (kWh)Electricity generated using fossil fuel (% of total)Electricity generated by hydropower (% of total)CO2 emissions per capita (metric tons) Water and sanitationInternal freshwater resources per capita (cu. m)Total freshwater withdrawal (% of internal resources)

Agriculture (% of total freshwater withdrawal)Access to improved water source (% of total population)

Rural (% of rural population)Urban (% of urban population)

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

Environment and healthParticulate matter (urban-pop.-weighted avg., μg/cu. m)Acute resp. infection prevalence (% of children under five)Diarrhea prevalence (% of children under five)Under-five mortality rate (per 1,000 live births) National accounting aggregates—savings, depletion and degradationGross savings (% of GNI)Consumption of fixed capital (% of GNI)Education expenditure (% of GNI)Energy depletion (% of GNI)Mineral depletion (% of GNI)Net forest depletion (% of GNI)CO2 damage (% of GNI)Particulate emissions damage (% of GNI)Adjusted net savings (% of GNI)

9,0697,689

50.72.2

38992123

31.10.2

12.33,1053,4016,213

10,987

167,4830.28.0

10.0284,300150,405

1,78810.0

2,80366.616.14.8

6,2587.370888196624779

43....

58

22.513.04.22.10.50.00.40.3

10.4

2 2012 The Little Green Data Book

WorldPopulation (millions) 6,894.6 Land area (1,000 sq. km) 129,711 GDP ($ billions) 63,243.8








3,6963,264

45.93.3

49585135

29.6-0.115.0

96,1363.59.31.4

137,69056,537

1,43611.8

2,09580.316.24.3

4,5069.973908497665776

56....

24

48.410.72.23.81.30.01.01.1

32.6


Population (millions) 1,961.6 Land area (1,000 sq. km) 15,854 GDP ($ billions) 7,630.5

East Asia & Pacific








7,2725,72764.10.3

283,204

126

38.60.07.5

5,573–3.1–0.910.4

..

..

2,8311.9

3,85965.418.0

7.8

12,8855.063969199848087

23....

23

23.912.2

3.68.60.80.00.80.44.8


Population (millions) 405.2 Land area (1,000 sq. km) 22,748 GDP ($ billions) 3,059.0

Europe & Central Asia








7,7336,894

79.32.0

363,663

131

47.00.5

20.2

13,464–1.611.213.1

15,28039,997

1,24517.0

1,89237.855.5

2.8

23,3231.668948198795984

30....

23

20.912.1

4.73.81.60.00.30.47.4



Latin America & Caribbean








3,8743,09158.0

2.5

232,627

132

2.4–0.13.9

3,6142.9

13.42.0

5,700217

1,3990.9

1,49793.4

4.93.8

69570.0

86898194888094

66....

34

19.210.74.3

12.40.40.10.70.9

–1.6



Middle East & North Africa








1,1761,11130.1

2.7

55521123

17.1–0.15.9

13,5672.98.41.7

15,44010,343

51426.8517

81.613.61.2

1,23633.4

91908895382860

68101167

32.79.22.92.31.10.60.80.7

20.9



South Asia








1,17694637.44.0

45322130

28.00.6

11.7

6,1901.8

16.35.8

18,55027,815

68957.3511

65.218.2

0.8

4,6352.284614983312342

46..

15121

18.010.9

3.69.41.90.50.50.5

–2.1



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. Note: Classifications are fixed during the World

Bank’s fiscal year (ending on June 30), thus countries remain in the categories

in which they are classified irrespective of any revisions to their per capita

income data.

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

in 2010.

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

$1,005 but less than $12,276. Lower-middle-income and upper-middle-

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

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

Euro area includes the member states of the Economic and Monetary

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

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

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

and Spain.

Income group tables








528472

28.33.7

38288133

27.60.6

10.7

10,7253.94.8

..15,12025,817

36565.922932.045.70.3

5,3814.390655786373247

56..

15108

25.17.73.01.31.21.20.30.4

15.9


Population (millions) 796.3 Land area (1,000 sq. km) 15,046 GDP ($ billions) 418.5

Low income








3,7233,23048.3

2.5

38786130

32.80.2

12.3

127,8200.99.47.5

177,540109,093

1,25413.2

1,67572.820.6

3.4

5,9447.079908496594575

49....

51

33.811.23.35.11.30.10.70.7

18.0



Middle income








1,6191,454

39.42.9

47677128

27.90.59.4

38,8882.79.94.4

144,15060,615

66526.964473.716.9

1.5

3,22712.6

88878393473466

589

1169

29.29.83.36.01.20.30.70.7

13.8



Lower middle income








5,8845,052

57.42.3

34871131

34.60.1

13.4

88,9320.19.28.5

33,39048,478

1,8488.3

2,71472.621.65.3

8,7185.066938698736282

43....

20

35.111.63.34.81.30.00.70.7

19.1



Upper middle income








3,2862,85145.5

2.6

38728130

31.90.2

12.0

138,5441.29.17.2

192,660134,910

1,16215.0

1,52571.821.03.0

5,8676.779868095564372

50....

63

33.711.13.35.01.30.10.70.7

18.0



Low and middle income

GNI per capita, World Bank Atlas method ($)Adjusted net national income per capita ($)Urban population (% of total)Urban population growth (avg. annual %, 1990–2010) AgricultureAgricultural land (% land area)Agricultural productivity, value added per worker (2000 $)Food production index (2004–2006=100) Forests and biodiversityForest area (% land area)Deforestation (avg. annual %, 1990–2010)Nationally protected terrestrial area (% of land area)Threatened species, mammalsThreatened species, birdsThreatened species, fishThreatened species, higher plantsGEF benefits index for biodiversity (0–100, median is 1.5) OceansTotal fisheries production (thousand metric tons)







38,74532,477

77.61.0

3724,483

106

28.7–0.112.9

28,570–1.72.0

16.581,79015,495

4,8564.2

9,06461.611.611.9

8,3059.441

10098

10010099

100

23....6

17.613.9

4.60.70.20.00.20.17.1



High income

GNI per capita, World Bank Atlas method ($)Adjusted net national income per capita ($)Urban population (% of total)Urban population growth (avg. annual %, 1990–2010) AgricultureAgricultural land (% land area)Agricultural productivity, value added per worker (2000 $)Food production index (2004–2006=100) Forests and biodiversityForest area (% land area)Deforestation (avg. annual %, 1990–2010)Nationally protected terrestrial area (% of land area)Threatened species, mammalsThreatened species, birdsThreatened species, fishThreatened species, higher plantsGEF benefits index for biodiversity (0–100, median is 1.5) OceansTotal fisheries production (thousand metric tons)







38,56531,527

73.60.6

4625,752

98

37.3–0.517.0

4,074–1.20.5

15.1....

3,5366.7

6,59248.610.28.0

2,95216.4

32100100100100100100

19....4

19.413.8

4.70.10.00.00.20.19.8



Euro area


China

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

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

Cyprus

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

area controlled by the government of the Republic of Cyprus.

Georgia

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

population exclude Abkhazia and South Ossetia.

Kosovo, Montenegro, and Serbia

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

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

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

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

under international administration pursuant to UN Security Council Resolution

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

2009, and its data are shown where available.

Moldova

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

population exclude Transnistria.

Morocco

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

Spanish Sahara.

Netherlands Antilles

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

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

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

Country tables


South Sudan and Sudan

Data are shown separately for South Sudan where available. However, data

reported for Sudan include South Sudan unless otherwise noted.

Tanzania

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

Tanzania only.

For more information, see World Development Indicators 2012 or data

.worldbank.org.

Country tables








410 1,176 528390 1,111 47224.8 30.1 28.34.5 2.7 3.7

58 55 38.. 521 288

114 123 133

2.1 17.1 27.60.0 –0.1 0.60.4 5.9 10.7111452

3.4

1.0 13,567 10,725–0.5 2.9 3.9

.. 8.4 4.8

.. 1.7 ..

.. 15,440 15,120

.. 10,343 25,817

.. 514 365

.. 26.8 65.9

.. 517 229

.. 81.6 32.0

.. 13.6 45.70.0 1.2 0.3

1,645 1,236 5,38135.6 33.4 4.3

99 91 9050 90 6542 88 5778 95 8637 38 3730 28 3260 60 47

32 68 56.. 10 .... 11 15

149 67 108

.. 32.7 25.18.9 9.2 7.7

.. 2.9 3.00.0 2.3 1.30.0 1.1 1.22.6 0.6 1.20.1 0.8 0.30.8 0.7 0.4

.. 20.9 15.9


Country data

South Asia

group

Low-income group

Population (millions) 34.4 Land area (1,000 sq. km) 652 GDP ($ billions) 17.2

Afghanistan








3,960 7,272 5,8843,165 5,727 5,05248.0 64.1 57.4

1.3 0.3 2.3

44 28 341,645 3,204 871

110 126 131

28.3 38.6 34.60.1 0.0 0.19.8 7.5 13.4

35

390

0.2

8.6 5,573 88,932–2.4 –3.1 0.1–3.4 –0.9 9.21.6 10.4 8.5

.. .. 33,390

.. .. 48,478

538 2,831 1,84812.4 1.9 8.3

1,747 3,859 2,7140.6 65.4 72.6

99.4 18.0 21.61.3 7.8 5.3

8,425 12,885 8,7184.4 5.0 5.058 63 6695 96 9394 91 8696 99 9894 84 7393 80 6295 87 82

37 23 43.. .. .... .. ..

18 23 20

13.6 23.9 35.110.6 12.2 11.62.8 3.6 3.32.2 8.6 4.80.3 0.8 1.30.0 0.0 0.00.3 0.8 0.70.2 0.4 0.72.7 4.8 19.1


Country data

Europe & Central

Asia group

Upper middle-income group


Albania








4,390 3,874 5,8843,097 3,091 5,05266.5 58.0 57.4

2.9 2.5 2.3

17 23 342,254 2,627 871

117 132 131

0.6 2.4 34.60.6 –0.1 0.16.3 3.9 13.4149

36122.9

95.4 3,614 88,9320.2 2.9 0.17.6 13.4 9.2

0.29 2.0 8.5.. 5,700 33,390.. 217 48,478

1,138 1,399 1,8480.1 0.9 8.3971 1,497 2,714

99.2 93.4 72.60.8 4.9 21.63.2 3.8 5.3

322 695 8,71852.7 70.0 5.0

64 86 6683 89 9379 81 8685 94 9895 88 7388 80 6298 94 82

75 66 43.. .. .... .. ..

36 34 20

53.6 19.2 35.111.3 10.7 11.64.5 4.3 3.3

17.8 12.4 4.80.2 0.4 1.30.1 0.1 0.00.6 0.7 0.70.3 0.9 0.7

29.8 –1.6 19.1


Country data

Middle East &

N. Africa group



Algeria








.. 3,696 5,884

.. 3,264 5,05293.0 45.9 57.4

2.6 3.3 2.3

25 49 34.. 585 871

99 135 131

90.0 29.6 34.60.0 -0.1 0.10.3 15.0 13.4

1891

0.3

5.3 96,136 88,93227.3 3.5 0.1

.. 9.3 9.217.0 1.4 8.5220 137,690 33,3900.52 56,537 48,478

.. 1,436 1,848

.. 11.8 8.3

.. 2,095 2,714

.. 80.3 72.6

.. 16.2 21.6

.. 4.3 5.3

.. 4,506 8,718

.. 9.9 5.0

.. 73 66

.. 90 93

.. 84 86

.. 97 98

.. 66 73

.. 57 62

.. 76 82

.. 56 43

.. .. ..

.. .. ..

.. 24 20

.. 48.4 35.1

.. 10.7 11.6

.. 2.2 3.3

.. 3.8 4.8

.. 1.3 1.3

.. 0.0 0.0

.. 1.0 0.7

.. 1.1 0.7

.. 32.6 19.1


Country data

East Asia & Pacific

group


Population (thousands) 68 Land area (sq. km) 200 GDP ($ millions) ..

American Samoa








41,750 38,745.. 32,477

88.0 77.62.0 1.0

38 37.. 24,483.. 106

34.0 28.70.0 –0.16.1 12.9

2100

0.0

.. 28,570

.. –1.7

.. 2.0

.. 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.66.5 11.9

.. 8,305

.. 9.4

.. 41100 100100 98100 100100 100100 99100 100

15 23.. .... ..4 6

.. 17.614.0 13.9

3.1 4.60.0 0.70.0 0.2

.. 0.00.1 0.2

.. 0.1

.. 7.1


Country data

High-income group

Population (thousands) 85 Land area (sq. km) 470 GDP ($ billions) 3.7

Andorra








3,940 1,176 1,6192,092 946 1,45458.5 37.4 39.4

5.3 4.0 2.9

47 45 47340 322 677144 130 128

46.9 28.0 27.90.2 0.6 0.5

12.4 11.7 9.415233934

8.3

260 6,190 38,8883.4 1.8 2.7

.. 16.3 9.90.07 5.8 4.4

.. 18,550 144,150312 27,815 60,615

641 689 66560.1 57.3 26.9202 511 64423.9 65.2 73.776.1 18.2 16.91.4 0.8 1.5

7,976 4,635 3,2270.4 2.2 12.633 84 8851 61 8738 49 8360 83 9358 31 4719 23 3485 42 66

56 46 58.. .. 9.. 15 11

161 121 69

17.9 18.0 29.212.1 10.9 9.82.3 3.6 3.3

35.1 9.4 6.00.0 1.9 1.20.0 0.5 0.30.3 0.5 0.71.8 0.5 0.7

–29.2 –2.1 13.8


Country data

Sub-Saharan Africa group

Lower middle-income group


Angola








13,280 7,733 5,884.. 6,894 5,052

30.3 79.3 57.41.0 2.0 2.3

30 36 341,698 3,663 871

106 131 131

22.7 47.0 34.60.0 0.5 0.17.0 20.2 13.4

21

174

0.7

2.3 13,464 88,9324.9 –1.6 0.1

.. 11.2 9.20.70 13.1 8.5240 15,280 33,3908.4 39,997 48,478

1,699 1,245 1,848.. 17.0 8.3.. 1,892 2,714.. 37.8 72.6.. 55.5 21.6

5.1 2.8 5.3

592 23,323 8,7183.3 1.6 5.020 68 66

.. 94 93

.. 81 8695 98 98

.. 79 73

.. 59 6298 84 82

12 30 43.. .. .... .. ..8 23 20

–1.7 20.9 35.112.7 12.1 11.62.2 4.7 3.30.0 3.8 4.80.0 1.6 1.3

.. 0.0 0.00.2 0.3 0.7

.. 0.4 0.7

.. 7.4 19.1


Country data


group



Antigua and Barbuda








8,620 7,733 5,8847,364 6,894 5,05292.4 79.3 57.4

1.4 2.0 2.3

51 36 3412,957 3,663 871

95 131 131

10.7 47.0 34.60.8 0.5 0.15.5 20.2 13.438493735

17.7

814 13,464 88,9321.9 –1.6 0.1

11.5 11.2 9.21.1 13.1 8.5

.. 15,280 33,390

.. 39,997 48,478

1,853 1,245 1,8483.1 17.0 8.3

2,759 1,892 2,71464.1 37.8 72.627.8 55.5 21.64.8 2.8 5.3

6,889 23,323 8,7184.0 1.6 5.066 68 6696 94 9380 81 8698 98 9890 79 7377 59 6291 84 82

60 30 43.. .. .... .. ..

14 23 20

23.1 20.9 35.112.1 12.1 11.66.0 4.7 3.34.5 3.8 4.80.4 1.6 1.30.0 0.0 0.00.4 0.3 0.71.6 0.4 0.7

10.1 7.4 19.1


Country data


group



Argentina








3,200 7,272 1,6192,796 5,727 1,45463.7 64.1 39.4–1.0 0.3 2.9

62 28 474,723 3,204 677

131 126 128

9.2 38.6 27.91.4 0.0 0.58.0 7.5 9.4

912

31

0.2

5.6 5,573 38,888–7.1 –3.1 2.7–0.1 –0.9 9.9

.. 10.4 4.4

.. .. 144,150

.. .. 60,615

843 2,831 6650.0 1.9 26.9

1,550 3,859 64420.3 65.4 73.735.6 18.0 16.9

1.8 7.8 1.5

2,223 12,885 3,22736.4 5.0 12.6

66 63 8898 96 8797 91 8399 99 9390 84 4780 80 3495 87 66

61 23 588 .. 9

17 .. 1120 23 69

18.1 23.9 29.29.9 12.2 9.82.2 3.6 3.30.0 8.6 6.01.0 0.8 1.20.0 0.0 0.30.4 0.8 0.72.2 0.4 0.76.8 4.8 13.8


Country data

Europe & Central

Asia group



Armenia








.. 38,745

.. 32,47746.9 77.6

2.4 1.0

11 37.. 24,483.. 106

2.2 28.7.. –0.1

0.1 12.921

151

0.3

0.15 28,570–4.9 –1.7

.. 2.00.0 16.5

<50 81,7900.71 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.621.7 11.9

.. 8,305

.. 9.4

.. 41100 100100 98100 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.95.3 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group


Aruba








46,200 38,74538,708 32,477

89.1 77.61.5 1.0

53 3735,208 24,483

103 106

19.4 28.70.2 –0.1

10.6 12.95552

10327

87.7

241 28,570–1.0 –1.79.0 2.0

28.3 16.548,960 81,790

9,910 15,495

5,971 4,8564.4 4.2

11,113 9,06492.7 61.6

4.7 11.618.6 11.9

22,413 8,3054.6 9.474 41

100 100100 98100 100100 100100 99100 100

14 23.. .... ..5 6

25.1 17.614.6 13.94.5 4.62.2 0.74.3 0.20.0 0.00.3 0.20.0 0.18.2 7.1


Country data

High-income group


Australia








47,030 38,74538,551 32,477

67.6 77.60.6 1.0

38 3725,771 24,483

101 106

47.2 28.7–0.1 –0.122.9 12.9

37

119

0.3

2.5 28,570–2.1 –1.7–1.8 2.0

.. 16.5

.. 81,790

.. 15,495

3,784 4,85617.6 4.2

7,944 9,06428.2 61.661.4 11.6

8.1 11.9

6,575 8,3054.7 9.4

3 41100 100100 98100 100100 100100 99100 100

27 23.. .... ..4 6

24.9 17.614.1 13.95.3 4.60.1 0.70.0 0.20.0 0.00.1 0.20.2 0.1

15.6 7.1


Country data

High-income group


Austria








5,330 7,272 5,8842,858 5,727 5,052

52.2 64.1 57.41.0 0.3 2.3

58 28 341,241 3,204 871

115 126 131

11.3 38.6 34.60.0 0.0 0.17.1 7.5 13.4

714100

0.8

2.1 5,573 88,932–16.6 –3.1 0.1–1.0 –0.9 9.2

.. 10.4 8.5

.. .. 33,390

.. .. 48,478

1,338 2,831 1,8480.0 1.9 8.3

1,620 3,859 2,71487.8 65.4 72.612.2 18.0 21.6

5.4 7.8 5.3

907 12,885 8,71835.2 5.0 5.0

76 63 6680 96 9371 91 8688 99 9882 84 7378 80 6286 87 82

29 23 433 .. ..

11 .. ..46 23 20

49.5 23.9 35.112.0 12.2 11.6

3.4 3.6 3.334.5 8.6 4.8

0.0 0.8 1.30.0 0.0 0.00.9 0.8 0.70.4 0.4 0.75.1 4.8 19.1


Country data

Europe & Central

Asia group



Azerbaijan








20,610 38,74517,805 32,477

84.1 77.61.7 1.0

1 3715,764 24,483

108 106

51.4 28.70.0 –0.1

13.7 12.976

284

3.6

11.6 28,5702.2 –1.7

.. 2.00.41 16.5

3,150 81,790875 15,495

2,156 4,856.. 4.2.. 9,064.. 61.6.. 11.6

6.5 11.9

59 8,305.. 9.4.. 41.. 100.. 98

98 100100 100100 99100 100

.. 23

.. ..

.. ..16 6

25.0 17.613.2 13.9

3.8 4.60.0 0.70.0 0.20.0 0.00.2 0.2

.. 0.1

.. 7.1


Country data

High-income group

Population (thousands) 343 Land area (1,000 sq. km) 10 GDP ($ billions) 7.5

Bahamas, The








18,730 38,74512,619 32,477

88.6 77.64.7 1.0

9 37.. 24,483

117 106

1.3 28.7–8.4 –0.11.3 12.9

3380

0.0

13.5 28,5702.6 –1.7

.. 2.00.65 16.5570 81,7900.65 15,495

8,096 4,8560.0 4.2

9,214 9,064100.0 61.6

0.0 11.621.4 11.9

3 8,305219.8 9.4

45 41.. 100.. 98

100 100.. 100.. 99

100 100

45 23.. .... ..

10 6

45.4 17.66.7 13.93.0 4.6

30.0 0.70.0 0.20.0 0.00.8 0.20.3 0.1

10.6 7.1


Country data

High-income group

Population (millions) 1.3 Land area (sq. km) 760 GDP ($ billions) 20.6

Bahrain








700 1,176 528665 1,111 47228.1 30.1 28.33.5 2.7 3.7

70 55 38507 521 288121 123 133

11.1 17.1 27.60.2 –0.1 0.61.8 5.9 10.7343018151.4

3,035 13,567 10,7255.0 2.9 3.9

10.1 8.4 4.80.81 1.7 ..<50 15,440 15,120

4,951 10,343 25,817

201 514 36529.8 26.8 65.9252 517 229

95.9 81.6 32.04.1 13.6 45.70.3 1.2 0.3

714 1,236 5,3812.9 33.4 4.388 91 9081 90 6580 88 5785 95 8656 38 3755 28 3257 60 47

121 68 565 10 ..

10 11 1548 67 108

35.2 32.7 25.17.5 9.2 7.71.8 2.9 3.01.8 2.3 1.30.0 1.1 1.20.4 0.6 1.20.4 0.8 0.30.6 0.7 0.4

26.2 20.9 15.9


Country data

South Asia

group

Low-income group


Bangladesh








12,660 38,745.. 32,477

40.8 77.61.4 1.0

44 3715,621 24,483

99 106

18.6 28.70.0 –0.10.1 12.9

32

192

0.4

3.3 28,5700.4 –1.7

.. 2.00.07 16.5

<100 81,7900.04 15,495

1,476 4,856.. 4.2.. 9,064.. 61.6.. 11.6

5.0 11.9

293 8,30576.1 9.4

33 41100 100100 98100 100100 100100 99100 100

34 23.. .... ..

20 6

17.2 17.612.6 13.9

7.4 4.60.0 0.70.0 0.2

.. 0.00.3 0.20.0 0.1

.. 7.1


Country data

High-income group


Barbados








5,950 7,272 5,8844,926 5,727 5,052

74.3 64.1 57.40.2 0.3 2.3

44 28 345,700 3,204 871

120 126 131

42.6 38.6 34.6–0.5 0.0 0.17.2 7.5 13.4

4420

0.0

17.2 5,573 88,932–5.8 –3.1 0.1–0.1 –0.9 9.2

.. 10.4 8.5

.. .. 33,390

.. .. 48,478

2,815 2,831 1,8486.0 1.9 8.3

3,299 3,859 2,71499.3 65.4 72.6

0.1 18.0 21.66.5 7.8 5.3

3,913 12,885 8,7187.5 5.0 5.019 63 66

100 96 9399 91 86

100 99 9893 84 7397 80 6291 87 82

7 23 43.. .. .... .. ..6 23 20

25.7 23.9 35.111.4 12.2 11.64.4 3.6 3.31.0 8.6 4.80.0 0.8 1.30.0 0.0 0.01.0 0.8 0.70.0 0.4 0.7

16.6 4.8 19.1


Country data

Europe & Central

Asia group



Belarus








45,840 38,74537,837 32,477

97.4 77.60.5 1.0

45 37.. 24,483

97 106

22.4 28.70.0 –0.1

13.8 12.932

110

0.0

23.0 28,570–3.0 –1.7–1.1 2.00.04 16.5

.. 81,790

.. 15,495

5,300 4,8564.9 4.2

7,903 9,06439.8 61.6

0.4 11.69.8 11.9

1,111 8,30534.0 9.4

1 41100 100100 98100 100100 100100 99100 100

21 23.. .... ..4 6

22.5 17.613.7 13.9

6.1 4.60.0 0.70.0 0.20.0 0.00.2 0.20.1 0.1

14.6 7.1


Country data

High-income group


Belgium








3,810 7,733 1,6193,341 6,894 1,454

52.7 79.3 39.43.5 2.0 2.9

7 36 474,506 3,663 677

88 131 128

61.1 47.0 27.90.6 0.5 0.5

27.9 20.2 9.484

30271.7

119 13,464 38,88822.3 –1.6 2.721.3 11.2 9.911.9 13.1 4.4

1,330 15,280 144,150958 39,997 60,615

571 1,245 665.. 17.0 26.9.. 1,892 644.. 37.8 73.7.. 55.5 16.9

1.3 2.8 1.5

48,019 23,323 3,2270.8 1.6 12.620 68 8898 94 8799 81 8398 98 9390 79 4787 59 3493 84 66

13 30 58.. .. 9.. .. 11

17 23 69

16.3 20.9 29.211.5 12.1 9.86.9 4.7 3.30.0 3.8 6.00.0 1.6 1.20.0 0.0 0.30.3 0.3 0.70.0 0.4 0.7

10.0 7.4 13.8


Country data


group



Belize








780 1,176 528684 946 47242.0 37.4 28.3

4.1 4.0 3.7

30 45 38684 322 288122 130 133

41.2 28.0 27.61.2 0.6 0.6

23.8 11.7 10.7116

2713

0.2

40.3 6,190 10,7250.2 1.8 3.9

.. 16.3 4.80.0 5.8 ..

.. 18,550 15,12065.7 27,815 25,817

404 689 36557.4 57.3 65.9

91 511 229100.0 65.2 32.0

0.0 18.2 45.70.5 0.8 0.3

1,197 4,635 5,3810.5 2.2 4.345 84 9075 61 6568 49 5784 83 8613 31 37

5 23 3225 42 47

48 46 5610 .. ..9 15 15

115 121 108

12.8 18.0 25.18.4 10.9 7.74.3 3.6 3.00.0 9.4 1.30.0 1.9 1.20.3 0.5 1.20.5 0.5 0.30.5 0.5 0.47.4 –2.1 15.9


Country data


Low-income group


Country data


Low-income group

Benin








.. 38,745

.. 32,477100.0 77.6

0.3 1.0

0 3733,608 24,483

108 106

20.0 28.70.0 –0.15.6 12.9

41

153

1.2

0.38 28,570–1.0 –1.7

.. 2.05.0 16.5370 81,7900.18 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.66.1 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.91.9 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group


Bermuda








1,870 1,176 1,6191,682 1,111 1,45436.8 30.1 39.4

5.4 2.7 2.9

13 55 47465 521 677

92 123 128

84.6 17.1 27.9–0.3 –0.1 0.528.3 5.9 9.4

2718

32

1.1

0.21 13,567 38,888–3.1 2.9 2.72.0 8.4 9.9

.. 1.7 4.4

.. 15,440 144,150

.. 10,343 60,615

354 514 665.. 26.8 26.9.. 517 644.. 81.6 73.7.. 13.6 16.9

1.0 1.2 1.5

109,295 1,236 3,2270.4 33.4 12.694 91 8896 90 8794 88 83

100 95 9344 38 4729 28 3473 60 66

21 68 58.. 10 9.. 11 11

56 67 69

.. 32.7 29.210.4 9.2 9.83.2 2.9 3.30.0 2.3 6.00.0 1.1 1.23.6 0.6 0.30.4 0.8 0.70.1 0.7 0.7

.. 20.9 13.8


Country data

South Asia

group



Bhutan








1,810 7,733 1,6191,467 6,894 1,45466.5 79.3 39.4

2.9 2.0 2.9

34 36 47716 3,663 677113 131 128

52.8 47.0 27.90.5 0.5 0.5

18.5 20.2 9.42034

072

12.5

7.8 13,464 38,8880.0 –1.6 2.72.6 11.2 9.9

.. 13.1 4.4

.. 15,280 144,150

.. 39,997 60,615

638 1,245 66517.7 17.0 26.9558 1,892 64461.4 37.8 73.737.5 55.5 16.91.3 2.8 1.5

31,054 23,323 3,2270.3 1.6 12.657 68 8888 94 8771 81 8396 98 9327 79 4710 59 3435 84 66

60 30 5820 .. 926 .. 1154 23 69

26.1 20.9 29.210.2 12.1 9.85.2 4.7 3.39.4 3.8 6.02.9 1.6 1.20.0 0.0 0.30.5 0.3 0.71.1 0.4 0.77.3 7.4 13.8


Country data


group



Bolivia








4,770 7,272 5,884.. 5,727 5,052

48.6 64.1 57.40.4 0.3 2.3

42 28 3415,028 3,204 871

110 126 131

42.8 38.6 34.60.1 0.0 0.10.6 7.5 13.4

45

310

0.4

9.6 5,573 88,932.. –3.1 0.1.. –0.9 9.2

0.71 10.4 8.5.. .. 33,390.. .. 48,478

1,580 2,831 1,8483.1 1.9 8.3

2,867 3,859 2,71460.2 65.4 72.639.8 18.0 21.68.3 7.8 5.3

9,422 12,885 8,7180.9 5.0 5.0

.. 63 6699 96 9398 91 86

100 99 9895 84 7392 80 6299 87 82

19 23 43.. .. .... .. ..8 23 20

14.5 23.9 35.110.5 12.2 11.6

.. 3.6 3.31.4 8.6 4.81.4 0.8 1.3

.. 0.0 0.01.3 0.8 0.70.1 0.4 0.7

.. 4.8 19.1


Country data

Europe & Central

Asia group



Bosnia and Herzegovina








6,790 1,176 5,8846,256 946 5,052

61.1 37.4 57.43.8 4.0 2.3

46 45 34447 322 871116 130 131

20.0 28.0 34.60.9 0.6 0.1

30.9 11.7 13.47

1020

1.4

0.06 6,190 88,932–14.3 1.8 0.1

.. 16.3 9.2

.. 5.8 8.5

.. 18,550 33,390

.. 27,815 48,478

1,034 689 1,84823.6 57.3 8.3

1,503 511 2,714100.0 65.2 72.6

0.0 18.2 21.62.5 0.8 5.3

1,211 4,635 8,7181.6 2.2 5.041 84 6696 61 9392 49 8699 83 9862 31 7341 23 6275 42 82

66 46 43.. .. .... 15 ..

48 121 20

26.8 18.0 35.111.6 10.9 11.6

7.6 3.6 3.30.2 9.4 4.83.2 1.9 1.30.0 0.5 0.00.2 0.5 0.70.3 0.5 0.7

18.6 –2.1 19.1


Country data




Botswana








9,390 7,733 5,8848,873 6,894 5,05286.5 79.3 57.4

2.0 2.0 2.3

31 36 344,118 3,663 871

116 131 131

61.4 47.0 34.60.5 0.5 0.1

26.3 20.2 13.481

12284

389100.0

1,265 13,464 88,9321.2 –1.6 0.1

17.1 11.2 9.216.5 13.1 8.5

1,200 15,280 33,39012,999 39,997 48,478

1,243 1,245 1,84831.6 17.0 8.3

2,206 1,892 2,7148.1 37.8 72.6

83.8 55.5 21.62.1 2.8 5.3

28,037 23,323 8,7180.7 1.6 5.055 68 6698 94 9385 81 86

100 98 9879 79 7344 59 6285 84 82

19 30 43.. .. .... .. ..

19 23 20

16.8 20.9 35.112.2 12.1 11.6

5.2 4.7 3.31.6 3.8 4.81.7 1.6 1.30.0 0.0 0.00.2 0.3 0.70.2 0.4 0.76.1 7.4 19.1


Country data


group



Brazil








31,800 38,74515,642 32,477

75.7 77.63.0 1.0

2 3777,147 24,483

133 106

72.1 28.70.4 –0.1

44.0 12.93424

7980.1

2.8 28,570–0.2 –1.724.8 2.0

1.4 16.5210 81,790173 15,495

7,971 4,8560.0 4.2

8,662 9,064100.0 61.6

0.0 11.627.5 11.9

21,693 8,3051.1 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

48 23.. .... ..7 6

61.6 17.613.2 13.9

2.0 4.629.9 0.7

0.0 0.20.0 0.00.5 0.20.1 0.12.2 7.1


Country data

High-income group

Population (thousands) 399 Land area (1,000 sq. km) 5.3 GDP ($ millions) 10.7

Brunei Darussalam








6,280 7,272 5,8845,110 5,727 5,052

71.7 64.1 57.4–0.3 0.3 2.3

46 28 3410,923 3,204 871

103 126 131

36.2 38.6 34.6–0.8 0.0 0.19.2 7.5 13.4

71119

50.8

18.7 5,573 88,932–7.3 –3.1 0.10.0 –0.9 9.23.2 10.4 8.5

.. .. 33,390

.. .. 48,478

2,305 2,831 1,8484.3 1.9 8.3

4,401 3,859 2,71455.2 65.4 72.6

8.2 18.0 21.66.6 7.8 5.3

2,769 12,885 8,71828.7 5.0 5.0

16 63 66100 96 93100 91 86100 99 98100 84 73100 80 62100 87 82

45 23 43.. .. .... .. ..

13 23 20

24.6 23.9 35.114.3 12.2 11.6

4.1 3.6 3.30.7 8.6 4.81.3 0.8 1.30.0 0.0 0.00.8 0.8 0.71.2 0.4 0.7

10.4 4.8 19.1


Country data

Europe & Central

Asia group



Bulgaria








550 1,176 528470 946 47220.4 37.4 28.3

4.8 4.0 3.7

44 45 38176 322 288105 130 133

20.6 28.0 27.61.0 0.6 0.6

14.2 11.7 10.79743

0.3

14.9 6,190 10,7253.7 1.8 3.9

22.9 16.3 4.8.. 5.8 .... 18,550 15,120.. 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.1 0.8 0.3

782 4,635 5,3817.9 2.2 4.370 84 9079 61 6573 49 5795 83 8617 31 37

6 23 3250 42 47

63 46 56.. .. .... 15 15

176 121 108

6.8 18.0 25.17.9 10.9 7.74.3 3.6 3.00.0 9.4 1.32.8 1.9 1.21.5 0.5 1.20.2 0.5 0.30.8 0.5 0.40.5 –2.1 15.9


Country data


Low-income group


Country data


Low-income group

Burkina Faso








170 1,176 528153 946 47211.0 37.4 28.3

4.8 4.0 3.7

84 45 3872 322 28865 130 133

6.7 28.0 27.62.6 0.6 0.64.8 11.7 10.7111117

20.3

17.8 6,190 10,7250.1 1.8 3.92.6 16.3 4.8

.. 5.8 ..

.. 18,550 15,120

.. 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.0 0.8 0.3

1,231 4,635 5,3812.3 2.2 4.377 84 9072 61 6571 49 5783 83 8646 31 3746 23 3249 42 47

28 46 56.. .. .... 15 15

142 121 108

4.1 18.0 25.16.6 10.9 7.78.7 3.6 3.00.0 9.4 1.30.9 1.9 1.2

11.8 0.5 1.20.1 0.5 0.30.1 0.5 0.4

–28.6 –2.1 15.9


Country data


Low-income group


Country data


Low-income group

Burundi








750 3,696 528686 3,264 47222.8 45.9 28.3

4.9 3.3 3.7

31 49 38434 585 288137 135 133

57.2 29.6 27.61.2 –0.1 0.6

25.8 15.0 10.7372442293.5

550 96,136 10,7258.0 3.5 3.9

11.8 9.3 4.80.44 1.4 ..<50 137,690 15,120728 56,537 25,817

371 1,436 36570.7 11.8 65.9131 2,095 229

95.6 80.3 32.03.9 16.2 45.70.3 4.3 0.3

8,628 4,506 5,3810.5 9.9 4.394 73 9064 90 6558 84 5787 97 8631 66 3720 57 3273 76 47

37 56 5615 .. ..20 .. 1551 24 108

13.2 48.4 25.18.9 10.7 7.71.6 2.2 3.00.0 3.8 1.30.0 1.3 1.20.1 0.0 1.20.3 1.0 0.30.4 1.1 0.45.1 32.6 15.9


Country data

East Asia & Pacific

group

Low-income group


Cambodia








1,180 1,176 1,619968 946 1,45458.4 37.4 39.4

4.2 4.0 2.9

20 45 47743 322 677114 130 128

42.1 28.0 27.91.0 0.6 0.59.2 11.7 9.43820

11237812.5

141 6,190 38,8883.5 1.8 2.7

10.9 16.3 9.90.39 5.8 4.4

.. 18,550 144,1501,962 27,815 60,615

361 689 66564.1 57.3 26.9271 511 64429.9 65.2 73.770.0 18.2 16.9

0.3 0.8 1.5

14,237 4,635 3,2270.3 2.2 12.676 84 8877 61 8752 49 8395 83 9349 31 4736 23 3458 42 66

58 46 58.. .. 9.. 15 11

136 121 69

20.4 18.0 29.29.1 10.9 9.83.1 3.6 3.34.6 9.4 6.00.1 1.9 1.20.0 0.5 0.30.2 0.5 0.70.7 0.5 0.75.2 –2.1 13.8


Country data




Cameroon








43,250 38,74537,869 32,477

80.6 77.61.3 1.0

7 3744,619 24,483

107 106

34.1 28.70.0 –0.17.5 12.9121535

121.5

1,089 28,570–2.8 –1.77.0 2.01.2 16.5

.. 81,790

.. 15,495

7,534 4,8564.5 4.2

15,471 9,06422.8 61.660.3 11.616.3 11.9

84,495 8,3051.6 9.412 41

100 10099 98

100 100100 100

99 99100 100

16 23.. .... ..6 6

18.8 17.614.3 13.9

4.5 4.61.8 0.70.6 0.20.0 0.00.3 0.20.1 0.16.3 7.1


Country data

High-income group


Canada








3,270 1,176 1,6192,835 946 1,454

61.1 37.4 39.43.4 4.0 2.9

22 45 472,294 322 677

119 130 128

21.1 28.0 27.9–1.9 0.6 0.52.5 11.7 9.4

34

243

2.4

19.5 6,190 38,8885.6 1.8 2.7

.. 16.3 9.90.0 5.8 4.4

.. 18,550 144,150

.. 27,815 60,615

213 689 665.. 57.3 26.9.. 511 644.. 65.2 73.7.. 18.2 16.9

0.6 0.8 1.5

610 4,635 3,2276.8 2.2 12.691 84 8888 61 8785 49 8390 83 9361 31 4743 23 3473 42 66

.. 46 58

.. .. 9

.. 15 1136 121 69

29.5 18.0 29.210.9 10.9 9.8

4.9 3.6 3.30.0 9.4 6.00.0 1.9 1.20.1 0.5 0.30.2 0.5 0.7

.. 0.5 0.7

.. –2.1 13.8


Country data



Population (thousands) 496 Land area (1,000 sq. km) 4.0 GDP ($ billions) 1.6

Cape Verde








.. 38,745

.. 32,477100.0 77.6

3.8 1.0

8 37.. 24,483

95 106

54.2 28.70.0 –0.18.7 12.9

11

182

0.6

0.13 28,570–9.1 –1.7

.. 2.01.2 16.5

230 81,79078.3 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.610.1 11.9

.. 8,305

.. 9.4

.. 4196 100

.. 9896 10096 100

.. 9996 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group


Cayman Islands








470 1,176 528421 946 472

38.9 37.4 28.32.3 4.0 3.7

8 45 38418 322 288111 130 133

36.3 28.0 27.60.1 0.6 0.6

17.7 11.7 10.7893

171.5

35.2 6,190 10,7255.1 1.8 3.92.4 16.3 4.8

.. 5.8 ..

.. 18,550 15,120

.. 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.1 0.8 0.3

32,653 4,635 5,3810.0 2.2 4.3

1 84 9067 61 6551 49 5792 83 8634 31 3728 23 3243 42 47

33 46 56.. .. .... 15 15

159 121 108

.. 18.0 25.17.7 10.9 7.71.1 3.6 3.00.0 9.4 1.30.0 1.9 1.20.0 0.5 1.20.1 0.5 0.30.2 0.5 0.4

.. –2.1 15.9


Country data


Low-income group


Central African Republic








620 1,176 528370 946 47227.6 37.4 28.34.5 4.0 3.7

39 45 38.. 322 288

112 130 133

9.2 28.0 27.60.6 0.6 0.69.4 11.7 10.713

912

2.2

40.0 6,190 10,725–2.8 1.8 3.9

.. 16.3 4.8

.. 5.8 ..

.. 18,550 15,120

.. 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.0 0.8 0.3

1,371 4,635 5,3810.9 2.2 4.352 84 9051 61 6544 49 5770 83 8613 31 37

6 23 3230 42 47

82 46 56.. .. .... 15 15

173 121 108

.. 18.0 25.19.3 10.9 7.72.3 3.6 3.0

29.0 9.4 1.30.0 1.9 1.20.0 0.5 1.20.0 0.5 0.31.4 0.5 0.4

.. –2.1 15.9


Country data


Low-income group


Chad








67,960 38,745.. 32,477

31.4 77.60.5 1.0

42 37.. 24,483.. 106

4.2 28.7.. –0.1

9.3 12.9........

0.0

4.5 28,5700.6 –1.7

15.2 2.00.02 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

.. 17.615.6 13.9

.. 4.60.0 0.70.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group


Channel Islands








10,120 7,733 5,8848,577 6,894 5,052

89.0 79.3 57.41.6 2.0 2.3

21 36 346,267 3,663 871

101 131 131

21.8 47.0 34.6–0.3 0.5 0.116.6 20.2 13.4

20342034

15.3

3,393 13,464 88,932–3.2 –1.6 0.112.3 11.2 9.2

3.7 13.1 8.5.. 15,280 33,390.. 39,997 48,478

1,698 1,245 1,84817.5 17.0 8.3

3,283 1,892 2,71451.0 37.8 72.641.7 55.5 21.64.4 2.8 5.3

52,136 23,323 8,7181.2 1.6 5.070 68 6696 94 9375 81 8699 98 9896 79 7383 59 6298 84 82

53 30 43.. .. .... .. ..9 23 20

24.9 20.9 35.113.2 12.1 11.6

4.6 4.7 3.30.1 3.8 4.8

12.3 1.6 1.30.0 0.0 0.00.3 0.3 0.70.6 0.4 0.73.0 7.4 19.1


Country data


group



Chile








4,270 3,696 5,8843,746 3,264 5,05244.9 45.9 57.4

3.3 3.3 2.3

56 49 34545 585 871115 135 131

22.2 29.6 34.6–1.4 –0.1 0.116.6 15.0 13.4

7586

113374

66.6

63,245 96,136 88,9324.3 3.5 0.19.4 9.3 9.21.3 1.4 8.5

1,510 137,690 33,390208 56,537 48,478

1,695 1,436 1,8489.0 11.8 8.3

2,631 2,095 2,71480.6 80.3 72.616.7 16.2 21.65.3 4.3 5.3

2,113 4,506 8,71819.5 9.9 5.0

65 73 6691 90 9385 84 8698 97 9864 66 7356 57 6274 76 82

60 56 43.. .. .... .. ..

18 24 20

52.7 48.4 35.110.8 10.7 11.61.8 2.2 3.33.7 3.8 4.81.4 1.3 1.30.0 0.0 0.01.1 1.0 0.71.2 1.1 0.7

36.3 32.6 19.1


Country data

East Asia & Pacific

group



China








5,510 7,733 5,8844,800 6,894 5,052

75.1 79.3 57.42.1 2.0 2.3

38 36 342,874 3,663 871

112 131 131

54.5 47.0 34.60.2 0.5 0.1

20.9 20.2 13.4529454

21551.5

159 13,464 88,932–2.0 –1.6 0.110.7 11.2 9.215.5 13.1 8.5940 15,280 33,390

4,079 39,997 48,478

697 1,245 1,84814.0 17.0 8.3

1,047 1,892 2,71427.2 37.8 72.671.7 55.5 21.61.5 2.8 5.3

46,261 23,323 8,7180.6 1.6 5.039 68 6692 94 9372 81 8699 98 9877 79 7363 59 6282 84 82

20 30 436 .. ..

13 .. ..22 23 20

19.8 20.9 35.111.8 12.1 11.63.9 4.7 3.37.2 3.8 4.80.5 1.6 1.30.0 0.0 0.00.2 0.3 0.70.1 0.4 0.73.8 7.4 19.1


Country data


group



Colombia








750 1,176 528664 946 47228.2 37.4 28.3

2.6 4.0 3.7

83 45 38551 322 28894 130 133

1.6 28.0 27.66.7 0.6 0.60.0 11.7 10.7

5964

2.3

52.3 6,190 10,7257.5 1.8 3.9

.. 16.3 4.83.2 5.8 ..

430 18,550 15,1201.2 27,815 25,817

60 689 365.. 57.3 65.9.. 511 229.. 65.2 32.0.. 18.2 45.7

0.2 0.8 0.3

1,677 4,635 5,3810.8 2.2 4.347 84 9095 61 6597 49 5791 83 8636 31 3730 23 3250 42 47

32 46 56.. .. .... 15 15

86 121 108

.. 18.0 25.18.4 10.9 7.74.2 3.6 3.00.0 9.4 1.30.0 1.9 1.21.1 0.5 1.20.2 0.5 0.30.0 0.5 0.4

.. –2.1 15.9


Country data


Low-income group


Comoros








180 1,176 528147 946 47235.2 37.4 28.3

4.2 4.0 3.7

10 45 38173 322 288

99 130 133

68.0 28.0 27.60.2 0.6 0.6

10.0 11.7 10.730358380

19.9

239 6,190 10,7251.9 1.8 3.97.5 16.3 4.84.4 5.8 ..

.. 18,550 15,120193 27,815 25,817

357 689 36593.7 57.3 65.9104 511 2290.4 65.2 32.0

99.6 18.2 45.70.0 0.8 0.3

14,018 4,635 5,3810.0 2.2 4.318 84 9045 61 6527 49 5779 83 8624 31 3724 23 3224 42 47

38 46 56.. .. ..

16 15 15170 121 108

.. 18.0 25.17.0 10.9 7.70.9 3.6 3.02.7 9.4 1.3

11.0 1.9 1.20.0 0.5 1.20.2 0.5 0.30.7 0.5 0.4

.. –2.1 15.9


Country data


Low-income group


Congo, Dem. Rep.








2,150 1,176 1,619559 946 1,45462.1 37.4 39.43.3 4.0 2.9

31 45 47.. 322 677

116 130 128

65.6 28.0 27.90.1 0.6 0.59.4 11.7 9.4112

4637

3.6

65.2 6,190 38,8881.5 1.8 2.7

–6.9 16.3 9.932.8 5.8 4.4

.. 18,550 144,15016.7 27,815 60,615

356 689 66551.1 57.3 26.9146 511 644

36.0 65.2 73.764.0 18.2 16.9

0.5 0.8 1.5

56,324 4,635 3,2270.0 2.2 12.6

9 84 8871 61 8732 49 8395 83 9318 31 4715 23 3420 42 66

60 46 588 .. 9

14 15 1193 121 69

22.0 18.0 29.214.1 10.9 9.82.5 3.6 3.3

59.6 9.4 6.00.0 1.9 1.20.0 0.5 0.30.2 0.5 0.70.9 0.5 0.7

–49.8 –2.1 13.8


Country data




Congo, Rep.








6,810 7,733 5,8846,590 6,894 5,052

64.3 79.3 57.43.3 2.0 2.3

35 36 345,596 3,663 871

113 131 131

51.0 47.0 34.6–0.1 0.5 0.120.9 20.2 13.4

91950

1129.7

48.6 13,464 88,9320.8 –1.6 0.1

21.2 11.2 9.212.2 13.1 8.5970 15,280 33,390418 39,997 48,478

1,067 1,245 1,84815.8 17.0 8.3

1,813 1,892 2,7144.9 37.8 72.6

77.8 55.5 21.61.8 2.8 5.3

24,484 23,323 8,7182.4 1.6 5.053 68 6697 94 9391 81 86

100 98 9895 79 7396 59 6295 84 82

29 30 43.. .. .... .. ..

10 23 20

15.7 20.9 35.111.9 12.1 11.66.2 4.7 3.30.0 3.8 4.80.0 1.6 1.30.1 0.0 0.00.2 0.3 0.70.1 0.4 0.79.7 7.4 19.1


Country data


group



Costa Rica








1,160 1,176 1,619954 946 1,45450.1 37.4 39.43.4 4.0 2.9

64 45 471,056 322 677

108 130 128

32.7 28.0 27.9–0.1 0.6 0.522.6 11.7 9.4

231545

1063.4

73.5 6,190 38,888–1.4 1.8 2.715.2 16.3 9.90.07 5.8 4.4

.. 18,550 144,15099.6 27,815 60,615

535 689 66575.2 57.3 26.9203 511 64462.0 65.2 73.735.9 18.2 16.9

0.4 0.8 1.5

3,971 4,635 3,2271.7 2.2 12.643 84 8880 61 8768 49 8391 83 9324 31 4711 23 3436 42 66

29 46 58.. .. 9.. 15 11

123 121 69

15.4 18.0 29.29.4 10.9 9.84.3 3.6 3.33.4 9.4 6.00.5 1.9 1.20.0 0.5 0.30.3 0.5 0.70.3 0.5 0.75.3 –2.1 13.8


Country data




Côte d’Ivoire








13,890 38,74511,493 32,477

57.8 77.6–0.1 1.0

23 3716,423 24,483

114 106

34.3 28.7–0.2 –0.113.0 12.9

71060

50.6

66.8 28,570.. –1.7.. 2.0

3.4 16.5.. 81,790.. 15,495

1,965 4,8564.2 4.2

3,712 9,06446.3 61.653.0 11.6

5.3 11.9

8,512 8,3050.6 9.4

2 4199 10097 98

100 10099 10098 9999 100

25 23.. .... ..6 6

22.6 17.612.8 13.9

4.3 4.60.7 0.70.0 0.20.2 0.00.3 0.20.3 0.1

12.7 7.1


Country data

High-income group


Croatia








5,520 7,733 5,8844,685 6,894 5,052

75.7 79.3 57.40.5 2.0 2.3

63 36 343,618 3,663 871

98 131 131

27.0 47.0 34.6–1.7 0.5 0.16.4 20.2 13.4141734

15512.5

55.4 13,464 88,932–9.6 –1.6 0.17.0 11.2 9.24.4 13.1 8.5

3,020 15,280 33,3904,944 39,997 48,478

1,022 1,245 1,84815.8 17.0 8.3

1,348 1,892 2,71496.2 37.8 72.6

0.9 55.5 21.62.8 2.8 5.3

3,385 23,323 8,71819.8 1.6 5.0

75 68 6694 94 9389 81 8696 98 9891 79 7381 59 6294 84 82

15 30 43.. .. .... .. ..6 23 20

.. 20.9 35.111.3 12.1 11.613.4 4.7 3.3

2.3 3.8 4.80.9 1.6 1.30.0 0.0 0.00.4 0.3 0.70.0 0.4 0.7

.. 7.4 19.1


Country data


group



Cuba








.. 38,745

.. 32,477

.. 77.6

.. 1.0

.. 37

.. 24,483

.. 106

.. 28.7

.. –0.1

.. 12.9

..

..

..

..

..

.. 28,570

.. –1.7

.. 2.0

.. 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1

Curaçao


Country data

High-income group









29,430 38,74517,722 32,477

70.3 77.62.1 1.0

14 377,927 24,483

87 106

18.7 28.7–0.4 –0.110.5 12.9

54

19160.5

5.5 28,570–2.9 –1.719.1 2.00.56 16.5

.. 81,790

.. 15,495

2,298 4,8561.8 4.2

4,620 9,06499.2 61.6

0.0 11.67.9 11.9

715 8,30519.3 9.4

86 41100 100100 98100 100100 100100 99100 100

28 23.. .... ..4 6

9.5 17.613.3 13.9

6.9 4.60.0 0.70.0 0.20.0 0.00.3 0.20.3 0.12.5 7.1


Country data

High-income group

Population (millions) 1.1 Land area (1,000 sq. km) 9.2 GDP ($ billions) 23.1

Cyprus








17,890 38,74514,638 32,477

73.5 77.60.0 1.0

55 376,415 24,483

98 106

34.4 28.7–0.1 –0.115.1 12.9

2528

0.1

24.4 28,570–0.4 –1.7–0.4 2.0

.. 16.5

.. 81,790

.. 15,495

4,004 4,8565.6 4.2

6,114 9,06461.0 61.63.0 11.6

11.2 11.9

1,254 8,30513.3 9.4

2 41100 100100 98100 100

98 10097 9999 100

17 23.. .... ..4 6

22.5 17.613.6 13.93.8 4.60.5 0.70.0 0.20.0 0.00.5 0.20.0 0.1

11.6 7.1


Country data

High-income group


Czech Republic








59,400 38,74548,547 32,477

87.2 77.60.5 1.0

62 3753,407 24,483

107 106

12.8 28.7-1.0 -0.14.9 12.9

22

151

0.2

868 28,570-2.8 -1.7-0.3 2.03.2 16.5

.. 81,790

.. 15,495

3,369 4,85616.2 4.2

6,246 9,06470.4 61.6

0.1 11.68.4 11.9

1,086 8,30510.8 9.4

36 41100 100100 98100 100100 100100 99100 100

16 23.. .... ..4 6

22.4 17.614.0 13.9

7.3 4.61.7 0.70.0 0.20.0 0.00.1 0.20.0 0.1

13.9 7.1


Country data

High-income group


Denmark








1,270 3,874 1,6191,172 3,091 1,45488.1 58.0 39.4

3.0 2.5 2.9

73 23 4780 2,627 67798 132 128

0.3 2.4 27.90.0 -0.1 0.50.0 3.9 9.4

88

162

0.5

1.1 3,614 38,8885.5 2.9 2.7

.. 13.4 9.90.24 2.0 4.4450 5,700 144,15010.0 217 60,615

170 1,399 665.. 0.9 26.9.. 1,497 644.. 93.4 73.7.. 4.9 16.9

0.6 3.8 1.5

344 695 3,2276.3 70.0 12.616 86 8888 89 8754 81 8399 94 9350 88 4710 80 3463 94 66

49 66 58.. .. 9.. .. 11

91 34 69

33.7 19.2 29.28.5 10.7 9.8

.. 4.3 3.30.0 12.4 6.00.0 0.4 1.20.3 0.1 0.30.4 0.7 0.71.8 0.9 0.7

.. -1.6 13.8


Country data

Middle East &

N. Africa group



Djibouti








6,740 7,733 5,8845,894 6,894 5,052

74.6 79.3 57.40.3 2.0 2.3

32 36 345,927 3,663 871

110 131 131

60.0 47.0 34.60.5 0.5 0.1

21.7 20.2 13.433

189

0.9

0.74 13,464 88,9322.1 –1.6 0.1

.. 11.2 9.20.13 13.1 8.5

<100 15,280 33,3900.10 39,997 48,478

628 1,245 1,848.. 17.0 8.3.. 1,892 2,714.. 37.8 72.6.. 55.5 21.6

1.9 2.8 5.3

.. 23,323 8,718

.. 1.6 5.0

.. 68 6695 94 9392 81 8696 98 9881 79 7384 59 6280 84 82

21 30 43.. .. .... .. ..

12 23 20

1.2 20.9 35.111.7 12.1 11.63.1 4.7 3.30.0 3.8 4.80.0 1.6 1.30.0 0.0 0.00.2 0.3 0.7

.. 0.4 0.7

.. 7.4 19.1


Country data


group


Population (thousands) 68 Land area (sq. km) 750 GDP ($ millions) 466.4

Dominica








5,030 7,733 5,8844,451 6,894 5,05270.5 79.3 57.4

2.8 2.0 2.3

51 36 345,083 3,663 871

116 131 131

40.8 47.0 34.60.0 0.5 0.1

22.2 20.2 13.46

142127

6.0

15.5 13,464 88,932–1.5 –1.6 0.16.5 11.2 9.2

30.4 13.1 8.5610 15,280 33,390212 39,997 48,478

826 1,245 1,84821.8 17.0 8.3

1,358 1,892 2,71490.0 37.8 72.6

9.8 55.5 21.62.2 2.8 5.3

2,144 23,323 8,71816.6 1.6 5.0

64 68 6686 94 9384 81 8687 98 9883 79 7375 59 6287 84 82

16 30 437 .. ..

15 .. ..27 23 20

7.5 20.9 35.111.4 12.1 11.61.9 4.7 3.30.0 3.8 4.80.2 1.6 1.30.0 0.0 0.00.4 0.3 0.70.0 0.4 0.7

–2.6 7.4 19.1


Country data


group



Dominican Republic








3,850 7,733 5,8842,998 6,894 5,052

66.9 79.3 57.42.7 2.0 2.3

30 36 342,040 3,663 871

115 131 131

39.7 47.0 34.61.7 0.5 0.1

25.1 20.2 13.4437350

1,71429.3

664 13,464 88,9321.5 –1.6 0.16.5 11.2 9.2

75.4 13.1 8.5<50 15,280 33,390

1,583 39,997 48,478

796 1,245 1,8485.4 17.0 8.3

1,115 1,892 2,71444.4 37.8 72.653.5 55.5 21.6

1.9 2.8 5.3

30,291 23,323 8,7183.6 1.6 5.092 68 6694 94 9389 81 8696 98 9892 79 7384 59 6296 84 82

20 30 43.. .. .... .. ..

20 23 20

23.1 20.9 35.110.9 12.1 11.6

1.4 4.7 3.312.9 3.8 4.8

0.0 1.6 1.30.0 0.0 0.00.4 0.3 0.70.1 0.4 0.70.2 7.4 19.1


Country data


group



Ecuador








2,420 3,874 1,6192,184 3,091 1,45442.8 58.0 39.4

1.7 2.5 2.9

4 23 473,265 2,627 677

118 132 128

0.1 2.4 27.9–2.3 –0.1 0.55.9 3.9 9.4179

392

2.9

1,305 3,614 38,8882.2 2.9 2.7

14.4 13.4 9.99.3 2.0 4.4

3,800 5,700 144,1505.1 217 60,615

903 1,399 6652.1 0.9 26.9

1,549 1,497 64489.9 93.4 73.7

9.3 4.9 16.92.7 3.8 1.5

23 695 3,227119.0 70.0 12.6

86 86 8899 89 8799 81 83

100 94 9395 88 4793 80 3497 94 66

88 66 588 .. 99 .. 11

22 34 69

18.2 19.2 29.210.3 10.7 9.8

4.4 4.3 3.36.8 12.4 6.00.2 0.4 1.20.1 0.1 0.30.8 0.7 0.70.7 0.9 0.73.6 –1.6 13.8


Country data

Middle East &

N. Africa group



Egypt, Arab Rep.








3,380 7,733 1,6192,991 6,894 1,454

61.3 79.3 39.41.8 2.0 2.9

75 36 472,752 3,663 677

109 131 128

13.9 47.0 27.91.4 0.5 0.50.8 20.2 9.4

55

1424

0.9

40.5 13,464 38,8887.5 -1.6 2.7

10.3 11.2 9.93.1 13.1 4.4

.. 15,280 144,150252 39,997 60,615

828 1,245 66533.8 17.0 26.9845 1,892 64443.7 37.8 73.726.0 55.5 16.9

1.0 2.8 1.5

2,881 23,323 3,2275.5 1.6 12.655 68 8888 94 8776 81 8394 98 9387 79 4783 59 3489 84 66

28 30 58.. .. 9.. .. 11

16 23 69

11.2 20.9 29.210.6 12.1 9.83.0 4.7 3.30.0 3.8 6.00.0 1.6 1.20.4 0.0 0.30.2 0.3 0.70.2 0.4 0.72.7 7.4 13.8


Country data


group



El Salvador








14,550 38,7454,347 32,477

39.7 77.63.8 1.0

11 37993 24,483116 106

58.0 28.70.7 –0.1

19.2 12.919

529681.5

7.4 28,5703.5 –1.7

.. 2.02.6 16.5

.. 81,790253 15,495

2,732 4,856.. 4.2.. 9,064.. 61.6.. 11.6

7.3 11.9

38,173 8,3050.1 9.4

6 4151 10042 9866 10089 10087 9992 100

7 23.. .... ..

121 6

.. 17.618.8 13.9

1.2 4.649.4 0.7

0.0 0.20.0 0.00.5 0.20.0 0.1

.. 7.1



Country data

High-income group

Equatorial Guinea

Country data


Low-income group

79The Little Green Data Book 2012The Little Green Data Book 2012


Eritrea








340 1,176 528369 946 47221.6 37.4 28.3

4.1 4.0 3.7

75 45 3866 322 28899 130 133

15.2 28.0 27.60.3 0.6 0.65.0 11.7 10.7101218

40.8

3.3 6,190 10,725.. 1.8 3.9.. 16.3 4.8

0.0 5.8 ..3,260 18,550 15,120

102 27,815 25,817

142 689 36577.4 57.3 65.9

51 511 22999.3 65.2 32.0

0.0 18.2 45.70.1 0.8 0.3

549 4,635 5,3819.2 2.2 4.395 84 9060 61 6557 49 5774 83 8613 31 37

4 23 3252 42 47

64 46 56.. .. .... 15 15

61 121 108

.. 18.0 25.17.6 10.9 7.71.7 3.6 3.00.0 9.4 1.30.0 1.9 1.20.0 0.5 1.20.2 0.5 0.30.4 0.5 0.4

.. –2.1 15.9








14,460 38,74511,747 32,477

69.5 77.6–0.9 1.0

22 373,156 24,483

115 106

52.3 28.7–0.3 –0.120.4 12.9

1350

0.1

96.0 28,570–6.2 –1.7–2.4 2.026.5 16.5

.. 81,790

.. 15,495

3,543 4,85614.7 4.2

5,950 9,06493.1 61.6

0.4 11.613.6 11.9

9,483 8,30514.0 9.4

0 4198 10097 9899 10095 10094 9996 100

9 23.. .... ..5 6

25.3 17.613.0 13.9

5.5 4.61.3 0.70.0 0.20.3 0.00.7 0.20.0 0.1

15.6 7.1


Country data

High-income group


Estonia








390 1,176 528316 946 47217.6 37.4 28.34.4 4.0 3.7

35 45 38226 322 288122 130 133

12.3 28.0 27.61.0 0.6 0.6

18.4 11.7 10.733241424

8.4

18.1 6,190 10,7256.7 1.8 3.9

–1.8 16.3 4.8.. 5.8 .... 18,550 15,120.. 27,815 25,817

402 689 36592.0 57.3 65.9

46 511 22912.4 65.2 32.087.3 18.2 45.70.1 0.8 0.3

1,503 4,635 5,3814.6 2.2 4.394 84 9044 61 6534 49 5797 83 8621 31 3719 23 3229 42 47

51 46 5613 .. ..18 15 15

106 121 108

16.7 18.0 25.17.4 10.9 7.72.9 3.6 3.00.0 9.4 1.30.2 1.9 1.24.0 0.5 1.20.2 0.5 0.30.2 0.5 0.47.5 –2.1 15.9


Country data


Low-income group


Ethiopia








.. 38,745

.. 32,47742.5 77.6

1.8 1.0

2 37.. 24,483

102 106

0.1 28.7.. –0.1.. 12.95080

0.3

441 28,5701.8 –1.76.7 2.0

.. 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.614.6 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

9 23.. .... .... 6

.. 17.614.1 13.9

.. 4.60.0 0.70.0 0.2

.. 0.00.2 0.2

.. 0.1

.. 7.1


Country data

High-income group


Faeroe Islands








3,630 3,696 1,6193,201 3,264 1,45453.4 45.9 39.4

2.1 3.3 2.9

23 49 471,733 585 677

84 135 128

55.5 29.6 27.9–0.3 –0.1 0.51.3 15.0 9.4

6141361

3.9

42.1 96,136 38,8881.2 3.5 2.7

–10.0 9.3 9.90.06 1.4 4.4

10,020 137,690 144,150425 56,537 60,615

627 1,436 665.. 11.8 26.9.. 2,095 644.. 80.3 73.7.. 16.2 16.9

1.5 4.3 1.5

33,497 4,506 3,2270.3 9.9 12.661 73 8898 90 8795 84 83

100 97 9383 66 4771 57 3494 76 66

19 56 58.. .. 9.. .. 11

17 24 69

6.3 48.4 29.210.9 10.7 9.86.0 2.2 3.30.0 3.8 6.00.0 1.3 1.20.0 0.0 0.30.4 1.0 0.70.1 1.1 0.70.6 32.6 13.8


Country data

East Asia & Pacific

group



Fiji








47,570 38,74537,864 32,477

63.9 77.60.6 1.0

8 3747,514 24,483

101 106

72.9 28.7–0.1 –0.19.0 12.9

1461

0.2

171 28,5700.6 –1.7

–2.2 2.05.0 16.5

.. 81,790

.. 15,495

6,213 4,85620.9 4.2

15,242 9,06430.3 61.617.6 11.610.6 11.9

20,042 8,3051.5 9.4

3 41100 100100 98100 100100 100100 99100 100

15 23.. .... ..3 6

20.3 17.616.0 13.9

5.7 4.60.0 0.70.1 0.20.0 0.00.2 0.20.0 0.19.7 7.1


Country data

High-income group


Finland








42,370 38,74534,718 32,477

77.8 77.60.8 1.0

53 3757,973 24,483

98 106

29.1 28.7–0.5 –0.116.5 12.9

96

44275.3

651 28,570–1.9 –1.7–0.7 2.021.3 16.5

.. 81,790

.. 15,495

3,970 4,8565.9 4.2

7,488 9,06410.4 61.610.6 11.6

5.9 11.9

3,099 8,30515.0 9.4

12 41100 100100 98100 100100 100100 99100 100

12 23.. .... ..4 6

17.2 17.613.6 13.9

5.1 4.60.0 0.70.0 0.20.0 0.00.1 0.20.0 0.18.5 7.1


Country data

High-income group

Population (millions) 64.9 Land area (1,000 sq. km) 548 GDP ($ billions) 2,560.0

France








.. 38,745

.. 32,47751.6 77.6

1.2 1.0

12 37.. 24,483

111 106

42.3 28.7–5.3 –0.10.4 12.9

13222474.6

13.1 28,5705.8 –1.7

–4.0 2.00.06 16.5

6,000 81,790.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.63.4 11.9

38,264 8,305.. 9.4.. 41

100 100100 98100 100

98 10097 9999 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group

Population (thousands) 271 Land area (1,000 sq. km) 3.7 GDP ($ millions) ..

French Polynesia








7,740 1,176 5,8844,086 946 5,052

86.0 37.4 57.43.5 4.0 2.3

20 45 341,972 322 871

115 130 131

85.4 28.0 34.60.0 0.6 0.1

15.1 11.7 13.4144

611203.0

32.2 6,190 88,9322.4 1.8 0.1

24.5 16.3 9.27.3 5.8 8.5

.. 18,550 33,3901,598 27,815 48,478

1,214 689 1,84861.8 57.3 8.3922 511 2,71446.4 65.2 72.653.2 18.2 21.6

1.7 0.8 5.3

110,997 4,635 8,7180.1 2.2 5.038 84 6687 61 9341 49 8695 83 9833 31 7330 23 6233 42 82

5 46 43.. .. .... 15 ..

74 121 20

49.7 18.0 35.113.3 10.9 11.6

3.1 3.6 3.333.0 9.4 4.8

0.0 1.9 1.30.0 0.5 0.00.1 0.5 0.70.0 0.5 0.71.6 –2.1 19.1


Country data




Gabon








450 1,176 528390 946 47258.1 37.4 28.3

5.0 4.0 3.7

67 45 38282 322 288119 130 133

48.0 28.0 27.6–0.4 0.6 0.61.5 11.7 10.7108

234

0.1

46.4 6,190 10,7253.9 1.8 3.9

–4.3 16.3 4.80.06 5.8 ..

.. 18,550 15,120581 27,815 25,817

84 689 365.. 57.3 65.9.. 511 229.. 65.2 32.0.. 18.2 45.7

0.3 0.8 0.3

1,784 4,635 5,3810.9 2.2 4.328 84 9089 61 6585 49 5792 83 8668 31 3765 23 3270 42 47

61 46 56.. .. .... 15 15

98 121 108

13.7 18.0 25.18.4 10.9 7.73.1 3.6 3.00.0 9.4 1.30.0 1.9 1.20.8 0.5 1.20.4 0.5 0.30.5 0.5 0.46.7 –2.1 15.9


Population (millions) 1.7 Land area (1,000 sq. km) 10 GDP ($ millions) 806.5

Gambia, The

Country data

Sub-SaharanAfricagroup

Low-income group








2,690 7,272 1,6192,313 5,727 1,45452.9 64.1 39.4–0.6 0.3 2.9

36 28 471,817 3,204 677

72 126 128

39.5 38.6 27.90.1 0.0 0.53.7 7.5 9.4101090

0.6

31.1 5,573 38,888–6.0 –3.1 2.7–1.3 –0.9 9.90.45 10.4 4.4

.. .. 144,150

.. .. 60,615

723 2,831 66512.0 1.9 26.9

1,585 3,859 64413.4 65.4 73.786.6 18.0 16.9

1.2 7.8 1.5

13,179 12,885 3,2272.6 5.0 12.665 63 8898 96 8796 91 83

100 99 9395 84 4793 80 3496 87 66

54 23 58.. .. 9.. .. 11

22 23 69

10.0 23.9 29.29.7 12.2 9.82.8 3.6 3.30.2 8.6 6.00.4 0.8 1.20.0 0.0 0.30.4 0.8 0.71.5 0.4 0.70.7 4.8 13.8


Country data

Europe & Central

Asia group



Georgia








43,070 38,74535,258 32,477

73.8 77.60.2 1.0

48 3732,866 24,483

105 106

31.8 28.7–0.2 –0.142.4 12.9

65

23130.6

263 28,570–1.9 –1.7–2.3 2.040.3 16.5

.. 81,790

.. 15,495

3,889 4,8567.8 4.2

6,779 9,06458.9 61.6

3.2 11.69.6 11.9

1,306 8,30521.0 9.4

0 41100 100100 98100 100100 100100 99100 100

16 23.. .... ..4 6

22.7 17.613.6 13.9

4.4 4.60.1 0.70.0 0.20.0 0.00.2 0.20.0 0.1

13.2 7.1


Country data

High-income group


Germany








1,230 1,176 1,6191,044 946 1,454

51.5 37.4 39.44.2 4.0 2.9

68 45 47.. 322 677

119 130 128

21.7 28.0 27.92.0 0.6 0.5

14.7 11.7 9.4161344

1171.9

361 6,190 38,888–0.6 1.8 2.718.2 16.3 9.90.01 5.8 4.4

.. 18,550 144,150137 27,815 60,615

388 689 66569.8 57.3 26.9265 511 644

23.2 65.2 73.776.8 18.2 16.9

0.4 0.8 1.5

1,272 4,635 3,2271.8 2.2 12.666 84 8886 61 8780 49 8391 83 9314 31 478 23 34

19 42 66

21 46 586 .. 9

20 15 1174 121 69

20.8 18.0 29.29.3 10.9 9.84.7 3.6 3.30.0 9.4 6.06.5 1.9 1.21.5 0.5 0.30.3 0.5 0.70.0 0.5 0.78.6 –2.1 13.8


Country data

Sub-SaharanAfricagroup

Lowermiddle-incomegroup


Ghana








.. 38,745

.. 32,477100.0 77.6

0.4 1.0

.. 37

.. 24,483

.. 106

0.0 28.7.. –0.1

4.7 12.952

140

0.0

.. 28,570

.. –1.7

.. 2.00.0 16.5

.. 81,790

.. 15,495

5,597 4,8560.0 4.2

5,947 9,064100.0 61.6

0.0 11.614.4 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Population (thousands) 29 Land area (sq. km) 10 GDP ($ billions) ..

Country data

High-income group

Gibraltar








26,950 38,74522,274 32,477

61.4 77.60.8 1.0

64 37.. 24,483

86 106

30.3 28.7–0.8 –0.116.2 12.9

101075522.8

196 28,570–2.3 –1.713.2 2.0

2.6 16.5.. 81,790.. 15,495

2,609 4,8563.4 4.2

5,540 9,06486.6 61.6

8.8 11.68.7 11.9

5,141 8,30512.7 9.4

89 41100 10099 98

100 10098 10097 9999 100

31 23.. .... ..4 6

4.8 17.613.6 13.93.2 4.60.2 0.70.1 0.20.0 0.00.2 0.20.5 0.1

–6.7 7.1


Country data

High-income group

GreecePopulation (millions) 11.3 Land area (1,000 sq. km) 129 GDP ($ billions) 301.1








26,020 38,745.. 32,477

84.0 77.60.3 1.0

1 37.. 24,483

101 106

0.0 28.7.. –0.1

40.5 12.96070

1.1

209 28,5701.9 –1.7

.. 2.036.3 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.610.2 11.9

10,662,187 8,305.. 9.4.. 41

100 100100 98100 100100 100100 99100 100

.. 23

.. ..

.. ..

.. 6

.. 17.614.4 13.9

.. 4.60.0 0.70.0 0.2

.. 0.00.4 0.2

.. 0.1

.. 7.1



Country data

High-income group

Greenland








6,960 7,733 5,884.. 6,894 5,052

31.0 79.3 57.40.2 2.0 2.3

35 36 342,932 3,663 871

97 131 131

50.0 47.0 34.60.0 0.5 0.11.7 20.2 13.4

31

183

0.6

2.5 13,464 88,9321.3 –1.6 0.1

.. 11.2 9.20.02 13.1 8.5150 15,280 33,3901.4 39,997 48,478

784 1,245 1,848.. 17.0 8.3.. 1,892 2,714.. 37.8 72.6.. 55.5 21.6

2.4 2.8 5.3

.. 23,323 8,718

.. 1.6 5.0

.. 68 66

.. 94 93

.. 81 8697 98 9897 79 7397 59 6296 84 82

19 30 43.. .. .... .. ..

11 23 20

–5.6 20.9 35.112.3 12.1 11.6

3.8 4.7 3.30.0 3.8 4.80.0 1.6 1.3

.. 0.0 0.00.2 0.3 0.7

.. 0.4 0.7

.. 7.4 19.1


Country data


group



Grenada








.. 38,745

.. 32,47793.2 77.6

1.6 1.0

35 37.. 24,483

111 106

48.1 28.70.0 –0.1

26.4 12.92

1483

0.2

0.42 28,570–2.4 –1.7–2.5 2.00.77 16.5220 81,7900.97 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41100 100100 98100 10099 10098 9999 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group


Guam








2,740 7,733 1,6192,438 6,894 1,454

49.5 79.3 39.43.3 2.0 2.9

41 36 472,803 3,663 677

122 131 128

34.1 47.0 27.91.3 0.5 0.5

30.6 20.2 9.416102572

8.0

44.7 13,464 38,8885.9 –1.6 2.7

17.5 11.2 9.912.5 13.1 4.4

.. 15,280 144,150177 39,997 60,615

701 1,245 66552.1 17.0 26.9548 1,892 64442.7 37.8 73.723.3 55.5 16.9

0.9 2.8 1.5

7,781 23,323 3,2272.6 1.6 12.655 68 8892 94 8787 81 8398 98 9378 79 4770 59 3487 84 66

68 30 58.. .. 9.. .. 11

32 23 69

13.3 20.9 29.210.5 12.1 9.82.9 4.7 3.30.5 3.8 6.00.6 1.6 1.20.7 0.0 0.30.3 0.3 0.70.2 0.4 0.73.4 7.4 13.8



Country data


group


Guatemala








400 1,176 528329 946 47235.4 37.4 28.3

3.9 4.0 3.7

58 45 38242 322 288107 130 133

26.6 28.0 27.60.5 0.6 0.66.8 11.7 10.7221365222.3

110 6,190 10,7254.7 1.8 3.9

16.2 16.3 4.80.0 5.8 ..

.. 18,550 15,1202,033 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.1 0.8 0.3

23,153 4,635 5,3810.7 2.2 4.384 84 9074 61 6565 49 5790 83 8618 31 3711 23 3232 42 47

54 46 568 .. ..

16 15 15130 121 108

10.5 18.0 25.18.2 10.9 7.72.3 3.6 3.00.0 9.4 1.3

12.0 1.9 1.22.3 0.5 1.20.3 0.5 0.30.6 0.5 0.4

–10.6 –2.1 15.9


Country data


Low-income group


Guinea








590 1,176 528530 946 47230.0 37.4 28.3

2.3 4.0 3.7

58 45 38.. 322 288

98 130 133

71.9 28.0 27.60.5 0.6 0.6

16.1 11.7 10.712

532

40.6

6.8 6,190 10,7251.2 1.8 3.9

.. 16.3 4.845.8 5.8 ..

.. 18,550 15,1202,982 27,815 25,817

67 689 365.. 57.3 65.9.. 511 229.. 65.2 32.0.. 18.2 45.7

0.2 0.8 0.3

10,781 4,635 5,3810.6 2.2 4.382 84 9064 61 6553 49 5791 83 8620 31 37

9 23 3244 42 47

45 46 56.. .. .... 15 15

150 121 108

.. 18.0 25.18.0 10.9 7.72.3 3.6 3.00.0 9.4 1.30.0 1.9 1.20.5 0.5 1.20.3 0.5 0.30.8 0.5 0.4

.. –2.1 15.9


Country data


Low-income group


Guinea-Bissau








2,870 7,733 1,6192,486 6,894 1,454

28.5 79.3 39.40.0 2.0 2.9

9 36 473,265 3,663 677

100 131 128

77.2 47.0 27.90.0 0.5 0.55.0 20.2 9.4103

2821

3.0

45.7 13,464 38,8881.0 –1.6 2.7

12.1 11.2 9.90.0 13.1 4.4

.. 15,280 144,150396 39,997 60,615

667 1,245 665.. 17.0 26.9.. 1,892 644.. 37.8 73.7.. 55.5 16.9

2.0 2.8 1.5

320,048 23,323 3,2270.7 1.6 12.698 68 8894 94 8793 81 8398 98 9384 79 4782 59 3488 84 66

22 30 58.. .. 9.. .. 11

30 23 69

15.1 20.9 29.210.2 12.1 9.8

3.4 4.7 3.30.0 3.8 6.06.0 1.6 1.20.0 0.0 0.30.6 0.3 0.70.1 0.4 0.71.7 7.4 13.8


Country data


group



Guyana








670 7,733 528600 6,894 47249.6 79.3 28.34.5 2.0 3.7

67 36 38.. 3,663 288

106 131 133

3.7 47.0 27.60.7 0.5 0.60.3 20.2 10.7

5132026

5.2

8.5 13,464 10,7252.4 –1.6 3.9

.. 11.2 4.80.0 13.1 ..

450 15,280 15,120136 39,997 25,817

263 1,245 36571.2 17.0 65.9

36 1,892 22971.3 37.8 32.028.7 55.5 45.70.3 2.8 0.3

1,319 23,323 5,3818.6 1.6 4.378 68 9069 94 6551 81 5785 98 8617 79 3710 59 3224 84 47

33 30 5628 .. ..24 .. 15

165 23 108

23.2 20.9 25.18.2 12.1 7.71.5 4.7 3.00.0 3.8 1.30.0 1.6 1.20.6 0.0 1.20.3 0.3 0.30.5 0.4 0.4

15.1 7.4 15.9


Country data


group

Low-income group


Haiti








1,870 7,733 1,6191,741 6,894 1,45448.8 79.3 39.4

3.2 2.0 2.9

29 36 472,041 3,663 677

103 131 128

46.4 47.0 27.92.2 0.5 0.5

18.2 20.2 9.479

271077.2

38.6 13,464 38,888–1.9 –1.6 2.711.0 11.2 9.91.9 13.1 4.4810 15,280 144,150628 39,997 60,615

592 1,245 66544.3 17.0 26.9678 1,892 644

54.9 37.8 73.742.5 55.5 16.91.2 2.8 1.5

12,877 23,323 3,2271.2 1.6 12.658 68 8887 94 8779 81 8395 98 9377 79 4769 59 3485 84 66

34 30 5817 .. 916 .. 1124 23 69

16.9 20.9 29.210.1 12.1 9.83.5 4.7 3.30.0 3.8 6.00.5 1.6 1.20.0 0.0 0.30.4 0.3 0.70.2 0.4 0.79.2 7.4 13.8


Country data


group



Honduras








32,780 38,74528,134 32,477

100.0 77.61.1 1.0

.. 37

.. 24,483

.. 106

.. 28.7

.. –0.141.8 12.9

22013

6..

172 28,570–1.4 –1.7–4.2 2.0

.. 16.5

.. 81,790

.. 15,495

2,133 4,8560.4 4.2

5,925 9,064100.0 61.6

0.0 11.65.5 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

29.3 17.613.2 13.9

3.1 4.60.0 0.70.0 0.20.0 0.00.1 0.2

.. 0.1

.. 7.1


Country data

High-income group


Hong Kong SAR, China








12,860 38,74510,602 32,477

68.3 77.60.0 1.0

64 378,522 24,483

94 106

22.4 28.7–0.6 –0.15.1 12.9

2898

0.2

20.5 28,570–4.7 –1.7–1.1 2.0

.. 16.5

.. 81,790

.. 15,495

2,480 4,8567.1 4.2

3,773 9,06448.7 61.6

0.6 11.65.4 11.9

599 8,3055.4 9.4

6 41100 100100 98100 100100 100100 99100 100

15 23.. .... ..6 6

21.5 17.612.9 13.95.2 4.60.5 0.70.0 0.20.0 0.00.3 0.20.0 0.1

12.9 7.1


Country data

High-income group


Hungary








32,640 38,74525,909 32,477

92.3 77.61.2 1.0

23 3756,880 24,483

104 106

0.3 28.7–6.2 –0.119.7 12.9

50

120

0.7

1,066 28,570–1.7 –1.72.9 2.03.9 16.5

.. 81,790

.. 15,495

16,405 4,8560.0 4.2

51,259 9,0640.0 61.6

72.9 11.67.0 11.9

533,754 8,3050.1 9.442 41

100 100100 98100 100100 100100 99100 100

16 23.. .... ..2 6

2.0 17.617.4 13.9

8.9 4.60.0 0.70.0 0.20.0 0.00.2 0.20.0 0.1

–6.7 7.1


Country data

High-income group


Iceland








1,270 1,176 1,6191,207 1,111 1,454

30.1 30.1 39.42.5 2.7 2.9

61 55 47489 521 677114 123 128

23.0 17.1 27.9–0.3 –0.1 0.55.0 5.9 9.49478

212291

39.9

9,348 13,567 38,8882.7 2.9 2.77.9 8.4 9.91.7 1.7 4.4

5,790 15,440 144,1504,326 10,343 60,615

560 514 66524.5 26.8 26.9571 517 644

83.8 81.6 73.711.9 13.6 16.91.5 1.2 1.5

1,197 1,236 3,22739.8 33.4 12.6

90 91 8892 90 8790 88 8397 95 9334 38 4723 28 3458 60 66

57 68 589 10 99 11 11

63 67 69

34.0 32.7 29.29.3 9.2 9.83.1 2.9 3.32.5 2.3 6.01.3 1.1 1.20.5 0.6 0.30.9 0.8 0.70.7 0.7 0.7

21.8 20.9 13.8


Country data

South Asia

group



India








2,500 3,696 1,6192,372 3,264 1,454

53.7 45.9 39.44.1 3.3 2.9

30 49 47730 585 677120 135 128

52.1 29.6 27.91.1 –0.1 0.5

14.1 15.0 9.418411914038581.0

11,600 96,136 38,8883.9 3.5 2.7

12.4 9.3 9.92.0 1.4 4.4

51,020 137,690 144,15031,894 56,537 60,615

851 1,436 66526.0 11.8 26.9590 2,095 64486.7 80.3 73.7

7.3 16.2 16.91.7 4.3 1.5

8,504 4,506 3,2275.6 9.9 12.682 73 8882 90 8774 84 8392 97 9354 66 4739 57 3473 76 66

68 56 58.. .. 9

14 .. 1135 24 69

32.9 48.4 29.210.5 10.7 9.84.3 2.2 3.35.3 3.8 6.01.3 1.3 1.20.0 0.0 0.30.5 1.0 0.70.8 1.1 0.7

18.8 32.6 13.8


Country data

East Asia & Pacific

group



Indonesia








4,520 3,874 5,8843,110 3,091 5,05269.5 58.0 57.4

2.5 2.5 2.3

30 23 343,104 2,627 871

104 132 131

6.8 2.4 34.60.0 –0.1 0.17.1 3.9 13.4162029

17.3

664 3,614 88,9323.1 2.9 0.1

11.0 13.4 9.21.7 2.0 8.5

700 5,700 33,390192 217 48,478

2,951 1,399 1,8480.2 0.9 8.3

2,238 1,497 2,71496.3 93.4 72.6

3.6 4.9 21.67.4 3.8 5.3

1,757 695 8,71867.7 70.0 5.0

92 86 6696 89 9392 81 8697 94 98

100 88 73100 80 62100 94 82

55 66 43.. .. .... .. ..

26 34 20

.. 19.2 35.110.9 10.7 11.6

4.1 4.3 3.319.2 12.4 4.8

0.6 0.4 1.30.0 0.1 0.01.2 0.7 0.70.8 0.9 0.7

.. –1.6 19.1


Country data

Middle East &

N. Africa group



Iran, Islamic Rep.








2,340 3,874 1,6191,061 3,091 1,45466.4 58.0 39.4

2.6 2.5 2.9

20 23 47.. 2,627 677

92 132 128

1.9 2.4 27.9–0.1 –0.1 0.50.1 3.9 9.41316110

1.6

46.0 3,614 38,8880.6 2.9 2.7

13.6 13.4 9.90.0 2.0 4.4

.. 5,700 144,150

.. 217 60,615

1,035 1,399 6650.1 0.9 26.9

1,069 1,497 64493.0 93.4 73.7

7.0 4.9 16.93.4 3.8 1.5

1,132 695 3,22787.3 70.0 12.6

79 86 8879 89 8756 81 8391 94 9373 88 4767 80 3476 94 66

110 66 58.. .. 9.. .. 11

39 34 69

.. 19.2 29.210.6 10.7 9.8

.. 4.3 3.345.7 12.4 6.00.0 0.4 1.20.0 0.1 0.31.1 0.7 0.74.0 0.9 0.7

.. –1.6 13.8


Country data

Middle East &

N. Africa group



Iraq








41,820 38,74531,739 32,477

61.9 77.61.6 1.0

61 3713,931 24,483

91 106

10.7 28.7–2.3 –0.11.8 12.9

51

201

0.6

365 28,5702.0 –1.72.8 2.0

0.18 16.5.. 81,790.. 15,495

3,216 4,8562.2 4.2

6,034 9,06476.1 61.6

3.2 11.69.9 11.9

10,989 8,305.. 9.4.. 41

100 100100 98100 100

99 10098 99

100 100

12 23.. .... ..4 6

14.8 17.616.9 13.9

5.9 4.60.0 0.70.1 0.20.0 0.00.2 0.20.0 0.13.5 7.1


Country data

High-income group


Ireland








48,910 38,745.. 32,477

50.6 77.60.7 1.0

74 37.. 24,483.. 106

5.3 28.70.0 –0.1

.. 12.90020

0.0

4.8 28,5700.8 –1.7

.. 2.0

.. 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

.. 17.613.6 13.9

.. 4.60.0 0.70.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group


Isle of Man








27,180 38,74523,730 32,477

91.7 77.62.5 1.0

24 37.. 24,483

104 106

7.1 28.7–0.8 –0.117.8 12.9

151336

00.8

22.2 28,570–6.0 –1.71.5 2.0

0.45 16.5<10 81,790

.. 15,495

2,878 4,8560.1 4.2

6,608 9,06499.3 61.6

0.0 11.65.2 11.9

100 8,305101.9 9.4

58 41100 100100 98100 100100 100100 99100 100

23 23.. .... ..5 6

18.9 17.613.8 13.9

5.7 4.60.1 0.70.1 0.20.0 0.00.2 0.20.1 0.1

10.3 7.1



Country data

High-income group

Israel








35,700 38,74529,246 32,477

68.4 77.60.4 1.0

47 3731,254 24,483

97 106

31.1 28.7–0.9 –0.115.1 12.9

77

4761

3.8

388 28,570–2.3 –1.70.0 2.0

17.4 16.5.. 81,790.. 15,495

2,735 4,8564.3 4.2

5,271 9,06475.1 61.617.0 11.67.4 11.9

3,032 8,30523.7 9.4

44 41100 100100 98100 100

.. 100

.. 99

.. 100

21 23.. .... ..4 6

17.1 17.613.7 13.94.4 4.60.1 0.70.0 0.20.0 0.00.2 0.20.1 0.17.5 7.1



Country data

High-income group

Italy








4,800 7,733 5,8844,409 6,894 5,052

53.7 79.3 57.41.0 2.0 2.3

41 36 342,758 3,663 871

106 131 131

31.1 47.0 34.60.1 0.5 0.1

18.9 20.2 13.45

1021

2064.4

19.5 13,464 88,9320.6 –1.6 0.10.9 11.2 9.24.2 13.1 8.5

1,240 15,280 33,39097.5 39,997 48,478

1,208 1,245 1,84815.9 17.0 8.3

1,902 1,892 2,71496.4 37.8 72.6

2.0 55.5 21.64.5 2.8 5.3

3,489 23,323 8,7186.2 1.6 5.034 68 6693 94 9388 81 8698 98 9880 79 7382 59 6278 84 82

29 30 43.. .. .... .. ..

24 23 20

12.9 20.9 35.111.6 12.1 11.65.8 4.7 3.30.0 3.8 4.80.6 1.6 1.30.0 0.0 0.00.6 0.3 0.70.2 0.4 0.75.6 7.4 19.1



Country data


group


Jamaica








41,850 38,74537,986 32,477

66.8 77.60.4 1.0

13 3748,794 24,483

98 106

68.5 28.70.0 –0.1

16.5 12.9283964

636.0

5,195 28,570–4.2 –1.7–0.9 2.05.5 16.5

2,900 81,7907.4 15,495

3,700 4,8561.4 4.2

7,819 9,06461.4 61.6

7.2 11.69.5 11.9

3,371 8,30520.9 9.4

63 41100 100100 98100 100100 100100 99100 100

25 23.. .... ..3 6

23.2 17.613.6 13.9

3.2 4.60.0 0.70.0 0.20.0 0.00.2 0.20.3 0.1

12.3 7.1



Country data

High-income group

Japan








4,340 3,874 5,8844,060 3,091 5,052

78.5 58.0 57.43.6 2.5 2.3

12 23 343,401 2,627 871

110 132 131

1.1 2.4 34.60.0 –0.1 0.11.9 3.9 13.4131013

10.4

1.0 3,614 88,9321.6 2.9 0.1

11.6 13.4 9.230.0 2.0 8.5<50 5,700 33,390

.. 217 48,478

1,260 1,399 1,8480.1 0.9 8.3

2,112 1,497 2,71499.5 93.4 72.6

0.4 4.9 21.63.7 3.8 5.3

115 695 8,71899.4 70.0 5.0

65 86 6697 89 9392 81 8698 94 9898 88 7398 80 6298 94 82

29 66 431 .. ..

16 .. ..22 34 20

9.1 19.2 35.110.8 10.7 11.6

5.6 4.3 3.30.1 12.4 4.80.9 0.4 1.30.0 0.1 0.00.7 0.7 0.70.2 0.9 0.72.0 –1.6 19.1


Country data

Middle East &

N. Africa group



Jordan








7,580 7,272 5,8845,108 5,727 5,05258.5 64.1 57.4

0.2 0.3 2.3

77 28 341,782 3,204 871

126 126 131

1.2 38.6 34.60.2 0.0 0.12.5 7.5 13.416201416

5.1

43.2 5,573 88,932–2.9 –3.1 0.1

–17.1 –0.9 9.2.. 10.4 8.5.. .. 33,390.. .. 48,478

4,091 2,831 1,8480.2 1.9 8.3

4,448 3,859 2,71491.3 65.4 72.6

8.7 18.0 21.615.1 7.8 5.3

4,686 12,885 8,71828.9 5.0 5.0

87 63 6695 96 9390 91 8699 99 9897 84 7398 80 6297 87 82

17 23 43.. .. .... .. ..

33 23 20

31.6 23.9 35.113.3 12.2 11.6

4.4 3.6 3.321.6 8.6 4.81.8 0.8 1.30.0 0.0 0.01.4 0.8 0.70.2 0.4 0.7

–2.3 4.8 19.1


Country data

Europe & Central

Asia group



Kazakhstan








790 1,176 528706 946 472

22.2 37.4 28.33.7 4.0 3.7

48 45 38337 322 288110 130 133

6.1 28.0 27.60.3 0.6 0.6

11.8 11.7 10.7283168

1268.8

155 6,190 10,725–1.7 1.8 3.912.1 16.3 4.810.5 5.8 ..630 18,550 15,120610 27,815 25,817

474 689 36576.0 57.3 65.9147 511 229

44.1 65.2 32.031.6 18.2 45.70.3 0.8 0.3

525 4,635 5,3818.9 2.2 4.379 84 9059 61 6552 49 5782 83 8632 31 3732 23 3232 42 47

30 46 568 .. ..

17 15 1585 121 108

15.6 18.0 25.17.3 10.9 7.75.9 3.6 3.00.0 9.4 1.30.1 1.9 1.21.1 0.5 1.20.3 0.5 0.30.1 0.5 0.4

13.1 –2.1 15.9


Country data


Low-income group


Country data


Low-income group

Kenya








2,000 3,696 1,619.. 3,264 1,454

44.0 45.9 39.42.8 3.3 2.9

42 49 471,463 585 677

104 135 128

14.8 29.6 27.90.0 –0.1 0.5

23.2 15.0 9.416

100

1.1

49.4 96,136 38,8882.6 3.5 2.7

–0.4 9.3 9.922.6 1.4 4.4

2,940 137,690 144,1502.6 56,537 60,615

116 1,436 665.. 11.8 26.9.. 2,095 644.. 80.3 73.7.. 16.2 16.9

0.3 4.3 1.5

.. 4,506 3,227

.. 9.9 12.6

.. 73 8863 90 8753 84 8377 97 9334 66 4722 57 3449 76 66

.. 56 58

.. .. 9

.. .. 1149 24 69

.. 48.4 29.26.5 10.7 9.8

.. 2.2 3.30.0 3.8 6.00.0 1.3 1.2

.. 0.0 0.30.1 1.0 0.7

.. 1.1 0.7

.. 32.6 13.8


Country data

East Asia & Pacific

group



Kiribati








.. 3,696 528

.. 3,264 47263.4 45.9 28.3

1.4 3.3 3.7

24 49 38.. 585 288

100 135 133

47.1 29.6 27.61.8 –0.1 0.65.9 15.0 10.7

92413

50.7

713 96,136 10,725–4.1 3.5 3.9–2.8 9.3 4.80.11 1.4 ..

.. 137,690 15,120

.. 56,537 25,817

795 1,436 3655.4 11.8 65.9

733 2,095 22940.9 80.3 32.059.1 16.2 45.73.2 4.3 0.3

2,764 4,506 5,38111.2 9.9 4.3

76 73 9098 90 6597 84 5799 97 8680 66 3771 57 3286 76 47

56 56 56.. .. .... .. 15

33 24 108

.. 48.4 25.1

.. 10.7 7.7

.. 2.2 3.0

.. 3.8 1.3

.. 1.3 1.2

.. 0.0 1.2

.. 1.0 0.30.8 1.1 0.4

.. 32.6 15.9


Country data

East Asia & Pacific

group

Low-income group

Population (millions) 24.3 Land area (1,000 sq. km) 120 GDP ($ billions) ..

Korea, Dem. Rep.








19,890 38,74518,077 32,477

81.9 77.61.2 1.0

19 3719,807 24,483

108 106

64.1 28.70.1 –0.12.4 12.9

92919

31.7

3,110 28,570–1.7 –1.72.8 2.03.9 16.5

.. 81,790

.. 15,495

4,701 4,8561.3 4.2

8,980 9,06466.2 61.6

0.6 11.610.5 11.9

1,330 8,30536.5 9.4

62 4198 10088 98

100 100100 100100 99100 100

33 23.. .... ..5 6

31.6 17.612.9 13.94.3 4.60.0 0.70.0 0.20.0 0.00.4 0.20.5 0.1

22.1 7.1


Country data

High-income group


Korea, Rep.








3,290 7,272 1,619.. 5,727 1,454.. 64.1 39.4.. 0.3 2.9

52 28 47.. 3,204 677.. 126 128

.. 38.6 27.9

.. 0.0 0.5

.. 7.5 9.4

..

..

..

..

..

.. 5,573 38,888

.. –3.1 2.7

.. –0.9 9.9

.. 10.4 4.4

.. .. 144,150

.. .. 60,615

.. 2,831 665

.. 1.9 26.9

.. 3,859 644

.. 65.4 73.7

.. 18.0 16.9

.. 7.8 1.5

.. 12,885 3,227

.. 5.0 12.6

.. 63 88

.. 96 87

.. 91 83

.. 99 93

.. 84 47

.. 80 34

.. 87 66

.. 23 58

.. .. 9

.. .. 11

.. 23 69

.. 23.9 29.210.0 12.2 9.8

.. 3.6 3.30.0 8.6 6.00.9 0.8 1.2

.. 0.0 0.3

.. 0.8 0.7

.. 0.4 0.7

.. 4.8 13.8


Country data

Europe & Central

Asia group



Kosovo








47,790 38,74529,967 32,477

98.4 77.61.4 1.0

8 37.. 24,483

110 106

0.3 28.7–3.5 –0.11.6 12.9

68

110

0.1

4.4 28,570–0.5 –1.7

.. 2.00.01 16.5110 81,790

0.05 15,495

11,402 4,8560.0 4.2

17,610 9,064100.0 61.6

0.0 11.630.1 11.9

0 8,3052,465.0 9.4

54 4199 10099 9899 100

100 100100 99100 100

95 23.. .... ..

11 6

54.9 17.67.2 13.93.2 4.6

25.1 0.70.0 0.20.0 0.00.5 0.20.5 0.1

14.9 7.1


KuwaitPopulation (millions) 2.7 Land area (1,000 sq. km) 18 GDP ($ billions) 109.5

Country data

High-income group








830 7,272 528658 5,727 47236.6 64.1 28.3

0.9 0.3 3.7

55 28 38996 3,204 288101 126 133

5.0 38.6 27.6–0.7 0.0 0.66.9 7.5 10.7

612

3141.1

0.35 5,573 10,725–11.7 –3.1 3.9–5.5 –0.9 4.8

.. 10.4 ..

.. .. 15,120

.. .. 25,817

559 2,831 3650.1 1.9 65.9

1,386 3,859 22910.7 65.4 32.089.3 18.0 45.7

1.2 7.8 0.3

9,093 12,885 5,38143.7 5.0 4.3

94 63 9090 96 6585 91 5799 99 8693 84 3793 80 3294 87 47

35 23 56.. .. .... .. 15

38 23 108

21.3 23.9 25.19.2 12.2 7.76.0 3.6 3.00.7 8.6 1.36.2 0.8 1.20.0 0.0 1.21.1 0.8 0.30.5 0.4 0.49.5 4.8 15.9



Country data

Europe & Central

Asia group

Low-income group

Kyrgyz Republic








1,050 3,696 1,619926 3,264 1,454

33.2 45.9 39.45.8 3.3 2.9

10 49 47532 585 677125 135 128

68.2 29.6 27.90.5 –0.1 0.5

16.6 15.0 9.445234617

5.0

113 96,136 38,8882.7 3.5 2.7

11.1 9.3 9.9.. 1.4 4.4.. 137,690 144,150.. 56,537 60,615

.. 1,436 665

.. 11.8 26.9

.. 2,095 644

.. 80.3 73.7

.. 16.2 16.90.3 4.3 1.5

31,151 4,506 3,2271.3 9.9 12.693 73 8867 90 8762 84 8377 97 9363 66 4750 57 3489 76 66

45 56 58.. .. 9.. .. 11

54 24 69

20.5 48.4 29.29.4 10.7 9.81.1 2.2 3.30.0 3.8 6.08.3 1.3 1.20.0 0.0 0.30.2 1.0 0.70.8 1.1 0.72.9 32.6 13.8


Lao PDR

Country data

East Asia & Pacific

group

Lowermiddle-incomegroup









11,640 7,272 5,8848,761 5,727 5,05268.2 64.1 57.4–0.9 0.3 2.3

29 28 343,837 3,204 871

118 126 131

53.9 38.6 34.6–0.3 0.0 0.118.0 7.5 13.4

1460

0.0

165 5,573 88,932–5.0 –3.1 0.1–6.8 –0.9 9.26.7 10.4 8.5

.. .. 33,390

.. .. 48,478

1,871 2,831 1,84830.0 1.9 8.3

2,875 3,859 2,71436.1 65.4 72.662.1 18.0 21.63.3 7.8 5.3

7,424 12,885 8,7181.2 5.0 5.012 63 6699 96 9396 91 86

100 99 9878 84 7371 80 6282 87 82

12 23 43.. .. .... .. ..

10 23 20

23.7 23.9 35.118.0 12.2 11.6

5.6 3.6 3.30.0 8.6 4.80.0 0.8 1.30.5 0.0 0.00.2 0.8 0.70.0 0.4 0.7

10.5 4.8 19.1


Country data

Europe & Central

Asia group

Uppermiddle-income group


Latvia








8,880 3,874 5,8848,148 3,091 5,052

87.2 58.0 57.42.0 2.5 2.3

67 23 3441,013 2,627 871

104 132 131

13.4 2.4 34.6–0.2 –0.1 0.10.5 3.9 13.4108

221

0.2

4.6 3,614 88,9325.1 2.9 0.1

12.2 13.4 9.20.11 2.0 8.5

.. 5,700 33,390

.. 217 48,478

1,580 1,399 1,8481.8 0.9 8.3

3,130 1,497 2,71495.5 93.4 72.6

4.5 4.9 21.64.1 3.8 5.3

1,144 695 8,71828.1 70.0 5.0

60 86 66100 89 93100 81 86100 94 98

98 88 7387 80 62

100 94 82

28 66 43.. .. .... .. ..

22 34 20

12.0 19.2 35.111.8 10.7 11.61.6 4.3 3.30.0 12.4 4.80.0 0.4 1.30.0 0.1 0.00.4 0.7 0.70.2 0.9 0.71.2 –1.6 19.1


Lebanon

Country data

Middle East &

N. Africa group










1,040 1,176 1,6191,078 946 1,45426.9 37.4 39.4

4.7 4.0 2.9

77 45 47202 322 677100 130 128

1.4 28.0 27.9–0.5 0.6 0.50.5 11.7 9.4

2714

0.3

0.35 6,190 38,8887.8 1.8 2.7

14.5 16.3 9.9.. 5.8 4.4.. 18,550 144,150.. 27,815 60,615

9 689 665.. 57.3 26.9.. 511 644.. 65.2 73.7.. 18.2 16.9.. 0.8 1.5

2,433 4,635 3,2271.7 2.2 12.620 84 8878 61 8773 49 8391 83 9326 31 4724 23 3432 42 66

43 46 58.. .. 9.. 15 11

85 121 69

27.4 18.0 29.27.3 10.9 9.89.8 3.6 3.30.0 9.4 6.00.0 1.9 1.21.0 0.5 0.3

.. 0.5 0.70.1 0.5 0.7

.. –2.1 13.8



Country data



Lesotho








200 1,176 528172 946 472

61.5 37.4 28.34.7 4.0 3.7

27 45 38.. 322 288

121 130 133

44.9 28.0 27.60.6 0.6 0.61.8 11.7 10.718115347

2.6

8.0 6,190 10,7251.1 1.8 3.9

.. 16.3 4.80.0 5.8 ..

.. 18,550 15,120109 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.2 0.8 0.3

52,139 4,635 5,3810.1 2.2 4.334 84 9073 61 6560 49 5788 83 8618 31 37

7 23 3229 42 47

31 46 569 .. ..

20 15 15103 121 108

–2.7 18.0 25.18.4 10.9 7.73.1 3.6 3.00.0 9.4 1.31.7 1.9 1.24.7 0.5 1.20.8 0.5 0.30.4 0.5 0.4

–14.0 –2.1 15.9


Liberia

Country data


Low-income group









12,320 3,874 5,8845,843 3,091 5,052

77.9 58.0 57.42.1 2.5 2.3

9 23 34.. 2,627 871

104 132 131

0.1 2.4 34.60.0 –0.1 0.10.1 3.9 13.412

3242

1.6

50.2 3,614 88,9323.6 2.9 0.16.4 13.4 9.2

0.05 2.0 8.5.. 5,700 33,390.. 217 48,478

3,258 1,399 1,8480.8 0.9 8.3

4,170 1,497 2,714100.0 93.4 72.6

0.0 4.9 21.69.5 3.8 5.3

96 695 8,718718.0 70.0 5.0

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

97 88 7396 80 6297 94 82

81 66 43.. .. .... .. ..

17 34 20

66.8 19.2 35.112.0 10.7 11.6

.. 4.3 3.329.0 12.4 4.8

0.0 0.4 1.30.0 0.1 0.00.7 0.7 0.71.8 0.9 0.7

.. –1.6 19.1



Country data

Middle East &

N. Africa group


Libya








137,070 38,745.. 32,477

14.2 77.60.2 1.0

38 37.. 24,483

98 106

43.8 28.70.0 –0.1

42.4 12.90000

0.0

.. 28,570

.. –1.7

.. 2.0

.. 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

15 23.. .... ..2 6

.. 17.615.5 13.9

2.4 4.60.0 0.70.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1



Country data

High-income group

Liechtenstein








11,510 7,272 5,8849,465 5,727 5,052

67.2 64.1 57.4–0.6 0.3 2.3

43 28 345,996 3,204 871

110 126 131

34.5 38.6 34.6–0.5 0.0 0.114.5 7.5 13.4

3460

0.0

153 5,573 88,932–3.9 –3.1 0.1–1.9 –0.9 9.210.7 10.4 8.5

.. .. 33,390

.. .. 48,478

2,512 2,831 1,8489.8 1.9 8.3

3,431 3,859 2,71419.4 65.4 72.62.9 18.0 21.64.5 7.8 5.3

4,659 12,885 8,7189.6 5.0 5.0

3 63 6692 96 9381 91 8698 99 9886 84 7369 80 6295 87 82

15 23 43.. .. .... .. ..7 23 20

18.8 23.9 35.112.3 12.2 11.6

4.7 3.6 3.30.1 8.6 4.80.0 0.8 1.30.5 0.0 0.00.3 0.8 0.70.1 0.4 0.7

10.4 4.8 19.1


Country data

Europe & Central

Asia group



Lithuania








76,980 38,74558,874 32,477

82.2 77.61.5 1.0

51 3725,881 24,483

105 106

33.6 28.7–0.1 –0.120.0 12.9

0110

0.0

.. 28,570

.. –1.7

.. 2.0

.. 16.5

.. 81,790

.. 15,495

7,934 4,8563.3 4.2

14,424 9,06490.2 61.6

3.4 11.621.5 11.9

2,009 8,3051.9 9.4

0 41100 100100 98100 100100 100100 99100 100

13 23.. .... ..3 6

27.1 17.621.3 13.93.5 4.60.0 0.70.0 0.20.0 0.00.2 0.20.0 0.19.1 7.1


Country data

High-income group


Luxembourg








34,880 38,745.. 32,477

100.0 77.62.1 1.0

.. 37

.. 24,483

.. 106

.. 28.7

.. –0.1

.. 12.90450..

1.5 28,570–2.7 –1.7

.. 2.0

.. 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.62.6 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

54.2 17.62.4 13.92.8 4.60.0 0.70.0 0.2

.. 0.00.1 0.2

.. 0.1

.. 7.1


Country data

High-income group


Macao SAR, China








4,570 7,272 5,8843,624 5,727 5,052

67.9 64.1 57.41.2 0.3 2.3

40 28 345,946 3,204 871

114 126 131

39.6 38.6 34.6–0.5 0.0 0.14.9 7.5 13.4

59

130

0.2

1.8 5,573 88,932.. –3.1 0.1.. –0.9 9.2.. 10.4 8.5.. .. 33,390.. .. 48,478

1,352 2,831 1,8487.0 1.9 8.3

3,442 3,859 2,71481.4 65.4 72.618.6 18.0 21.65.8 7.8 5.3

2,625 12,885 8,71816.1 5.0 5.0

12 63 66100 96 9399 91 86

100 99 9888 84 7382 80 6292 87 82

18 23 43.. .. .... .. ..

12 23 20

24.8 23.9 35.111.1 12.2 11.64.9 3.6 3.31.0 8.6 4.84.8 0.8 1.30.1 0.0 0.01.0 0.8 0.70.1 0.4 0.7

11.6 4.8 19.1



Country data

Europe & Central

Asia group


Macedonia, FYR








430 1,176 528380 946 47230.2 37.4 28.3

4.3 4.0 3.7

70 45 38187 322 288112 130 133

21.6 28.0 27.60.4 0.6 0.63.1 11.7 10.7653585

27329.2

140 6,190 10,7251.1 1.8 3.9

20.1 16.3 4.80.12 5.8 ..

2,230 18,550 15,1202,991 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.1 0.8 0.3

16,746 4,635 5,3814.4 2.2 4.397 84 9046 61 6534 49 5774 83 8615 31 3712 23 3221 42 47

30 46 563 .. ..8 15 15

62 121 108

8.1 18.0 25.17.7 10.9 7.72.7 3.6 3.00.0 9.4 1.30.8 1.9 1.20.2 0.5 1.20.2 0.5 0.30.1 0.5 0.43.2 –2.1 15.9



Country data


Low-income group

Madagascar








330 1,176 528303 946 47219.8 37.4 28.3

5.0 4.0 3.7

59 45 38169 322 288127 130 133

34.3 28.0 27.60.9 0.6 0.6

15.0 11.7 10.77

1510112

3.5

101 6,190 10,7251.4 1.8 3.9

14.9 16.3 4.8.. 5.8 .... 18,550 15,120.. 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.1 0.8 0.3

1,118 4,635 5,3815.6 2.2 4.384 84 9083 61 6580 49 5795 83 8651 31 3751 23 3249 42 47

33 46 56.. .. .... 15 15

92 121 108

13.0 18.0 25.17.5 10.9 7.74.4 3.6 3.00.0 9.4 1.30.0 1.9 1.21.8 0.5 1.20.2 0.5 0.30.1 0.5 0.47.5 –2.1 15.9


Country data


Low-income group


Malawi








7,760 3,696 5,8846,545 3,264 5,052

72.2 45.9 57.44.1 3.3 2.3

24 49 346,680 585 871

114 135 131

62.3 29.6 34.60.4 –0.1 0.1

18.1 15.0 13.4704564

67413.9

2,014 96,136 88,9322.1 3.5 0.1

12.7 9.3 9.22.0 1.4 8.5

3,600 137,690 33,3907,097 56,537 48,478

2,391 1,436 1,8484.5 11.8 8.3

3,614 2,095 2,71493.7 80.3 72.66.3 16.2 21.67.6 4.3 5.3

20,752 4,506 8,7182.3 9.9 5.034 73 66

100 90 9399 84 86

100 97 9896 66 7395 57 6296 76 82

19 56 43.. .. .... .. ..6 24 20

34.1 48.4 35.112.1 10.7 11.6

4.1 2.2 3.36.9 3.8 4.80.1 1.3 1.30.0 0.0 0.00.7 1.0 0.70.0 1.1 0.7

18.5 32.6 19.1


Country data

East Asia & Pacific

group



Malaysia








5,750 1,176 5,8845,071 1,111 5,05240.5 30.1 57.4

4.1 2.7 2.3

27 55 342,450 521 871

96 123 131

3.3 17.1 34.60.0 –0.1 0.1

.. 5.9 13.420

180

1.4

95.0 13,567 88,9320.8 2.9 0.1

.. 8.4 9.2

.. 1.7 8.58,920 15,440 33,390

.. 10,343 48,478

985 514 1,848.. 26.8 8.3.. 517 2,714.. 81.6 72.6.. 13.6 21.6

3.0 1.2 5.3

96 1,236 8,71815.7 33.4 5.0

0 91 6698 90 9397 88 86

100 95 9897 38 7397 28 6298 60 82

30 68 437 10 ..5 11 ..

15 67 20

12.0 32.7 35.111.8 9.2 11.65.0 2.9 3.30.0 2.3 4.80.0 1.1 1.30.0 0.6 0.00.4 0.8 0.70.2 0.7 0.75.4 20.9 19.1


Country data

South Asia

group



Maldives








600 1,176 528474 946 472

33.3 37.4 28.34.6 4.0 3.7

34 45 38462 322 288146 130 133

10.2 28.0 27.60.6 0.6 0.62.4 11.7 10.712

937

1.5

102 6,190 10,7251.8 1.8 3.9

28.9 16.3 4.8.. 5.8 .... 18,550 15,120.. 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.0 0.8 0.3

4,024 4,635 5,3816.5 2.2 4.390 84 9064 61 6551 49 5787 83 8622 31 3714 23 3235 42 47

106 46 566 .. ..

13 15 15178 121 108

18.6 18.0 25.18.4 10.9 7.73.9 3.6 3.00.0 9.4 1.39.8 1.9 1.20.0 0.5 1.20.1 0.5 0.31.7 0.5 0.47.4 –2.1 15.9



Country data


Low-income group

Mali








19,130 38,745.. 32,477

94.7 77.61.0 1.0

28 3735,113 24,483

95 106

0.9 28.7.. –0.1

17.3 12.932

174

0.0

4.8 28,5704.3 –1.7

41.1 2.00.40 16.5

.. 81,790

.. 15,495

1,931 4,8560.0 4.2

4,416 9,064100.0 61.6

0.0 11.66.2 11.9

122 8,30571.3 9.4

35 41100 100100 98100 100100 100100 99100 100

.. 23

.. ..

.. ..6 6

13.1 17.613.8 13.9

5.6 4.60.0 0.70.0 0.2

.. 0.00.3 0.2

.. 0.1

.. 7.1


Country data

High-income group


Malta








3,640 3,696 1,619.. 3,264 1,454

71.8 45.9 39.41.2 3.3 2.9

72 49 47.. 585 677

133 135 128

72.2 29.6 27.90.0 –0.1 0.53.1 15.0 9.4

24

110

1.3

59.7 96,136 38,88830.8 3.5 2.7

.. 9.3 9.90.61 1.4 4.4

6,110 137,690 144,150.. 56,537 60,615

610 1,436 665.. 11.8 26.9.. 2,095 644.. 80.3 73.7.. 16.2 16.9

1.9 4.3 1.5

.. 4,506 3,227

.. 9.9 12.6

.. 73 8894 90 8799 84 8392 97 9375 66 4753 57 3483 76 66

.. 56 58

.. .. 9

.. .. 1126 24 69

.. 48.4 29.28.5 10.7 9.86.5 2.2 3.30.0 3.8 6.00.0 1.3 1.2

.. 0.0 0.30.4 1.0 0.7

.. 1.1 0.7

.. 32.6 13.8


Country data

East Asia & Pacific

group



Marshall Islands








1,030 1,176 1,619605 946 1,45441.4 37.4 39.43.0 4.0 2.9

38 45 47404 322 677107 130 128

0.2 28.0 27.92.7 0.6 0.50.5 11.7 9.4151132

01.3

276 6,190 38,8887.4 1.8 2.7

.. 16.3 9.932.1 5.8 4.4

.. 18,550 144,1501.4 27,815 60,615

.. 689 665

.. 57.3 26.9

.. 511 644

.. 65.2 73.7

.. 18.2 16.90.6 0.8 1.5

118 4,635 3,22714.0 2.2 12.6

94 84 8850 61 8748 49 8352 83 9326 31 47

9 23 3451 42 66

68 46 58.. .. 9.. 15 11

111 121 69

.. 18.0 29.28.8 10.9 9.83.7 3.6 3.30.0 9.4 6.0

33.9 1.9 1.20.4 0.5 0.30.4 0.5 0.70.6 0.5 0.7

.. –2.1 13.8



Country data


Lowermiddle-income group

Mauritania








7,750 1,176 5,8846,772 946 5,052

42.6 37.4 57.40.8 4.0 2.3

48 45 346,401 322 871

98 130 131

17.2 28.0 34.60.5 0.6 0.14.5 11.7 13.4

61113883.3

8.4 6,190 88,932–2.9 1.8 0.110.4 16.3 9.20.28 5.8 8.5870 18,550 33,3901.2 27,815 48,478

947 689 1,848.. 57.3 8.3.. 511 2,714.. 65.2 72.6.. 18.2 21.6

3.1 0.8 5.3

2,158 4,635 8,71826.4 2.2 5.0

68 84 6699 61 9399 49 86

100 83 9889 31 7388 23 6291 42 82

14 46 43.. .. .... 15 ..

15 121 20

16.1 18.0 35.111.5 10.9 11.6

3.1 3.6 3.30.0 9.4 4.80.0 1.9 1.30.0 0.5 0.00.3 0.5 0.70.0 0.5 0.77.6 –2.1 19.1



Country data



Mauritius








.. 1,176 5,884

.. 946 5,052

.. 37.4 57.4

.. 4.0 2.3

54 45 34.. 322 871.. 130 131

37.8 28.0 34.61.2 0.6 0.12.5 11.7 13.4

1430

0.3

21.0 6,190 88,93213.7 1.8 0.1

.. 16.3 9.20.87 5.8 8.5570 18,550 33,3907.1 27,815 48,478

.. 689 1,848

.. 57.3 8.3

.. 511 2,714

.. 65.2 72.6

.. 18.2 21.6

.. 0.8 5.3

.. 4,635 8,718

.. 2.2 5.0

.. 84 66

.. 61 93

.. 49 86

.. 83 98

.. 31 73

.. 23 62

.. 42 82

.. 46 43

.. .. ..

.. 15 ..

.. 121 20

.. 18.0 35.1

.. 10.9 11.6

.. 3.6 3.3

.. 9.4 4.8

.. 1.9 1.3

.. 0.5 0.0

.. 0.5 0.7

.. 0.5 0.7

.. –2.1 19.1



Country data



Mayotte








8,890 7,733 5,8847,405 6,894 5,052

77.8 79.3 57.41.9 2.0 2.3

53 36 343,302 3,663 871

101 131 131

33.3 47.0 34.60.4 0.5 0.1

11.1 20.2 13.4100

56152191

68.7

1,650 13,464 88,9320.6 –1.6 0.19.0 11.2 9.2

16.7 13.1 8.51,780 15,280 33,3906,557 39,997 48,478

1,559 1,245 1,8484.8 17.0 8.3

1,943 1,892 2,71481.9 37.8 72.610.2 55.5 21.64.3 2.8 5.3

3,651 23,323 8,71817.5 1.6 5.0

77 68 6696 94 9391 81 8697 98 9885 79 7379 59 6287 84 82

33 30 43.. .. .... .. ..

17 23 20

24.6 20.9 35.112.0 12.1 11.64.8 4.7 3.35.4 3.8 4.80.3 1.6 1.30.0 0.0 0.00.3 0.3 0.70.4 0.4 0.7

11.0 7.4 19.1


Country data


group



Mexico








2,740 3,696 1,619.. 3,264 1,454

22.7 45.9 39.40.1 3.3 2.9

31 49 47.. 585 677

86 135 128

91.4 29.6 27.90.0 –0.1 0.54.0 15.0 9.4

710163

2.6

30.9 96,136 38,88814.3 3.5 2.7

.. 9.3 9.90.06 1.4 4.4

4,340 137,690 144,15087.0 56,537 60,615

.. 1,436 665

.. 11.8 26.9

.. 2,095 644

.. 80.3 73.7

.. 16.2 16.90.6 4.3 1.5

.. 4,506 3,227

.. 9.9 12.6

.. 73 8894 90 8794 84 8395 97 9325 66 4715 57 3461 76 66

.. 56 58

.. .. 9

.. .. 1142 24 69

.. 48.4 29.29.7 10.7 9.8

.. 2.2 3.30.0 3.8 6.00.0 1.3 1.2

.. 0.0 0.30.1 1.0 0.7

.. 1.1 0.7

.. 32.6 13.8



Country data

East Asia & Pacific

group


Micronesia, Fed. Sts.








1,810 7,272 1,6191,606 5,727 1,454

41.2 64.1 39.4–0.8 0.3 2.9

75 28 471,610 3,204 677

91 126 128

11.7 38.6 27.9–1.0 0.0 0.51.4 7.5 9.4

4882

0.0

10.0 5,573 38,888–1.8 –3.1 2.70.8 –0.9 9.9

.. 10.4 4.4

.. .. 144,150

.. .. 60,615

687 2,831 6653.3 1.9 26.9

1,018 3,859 64496.4 65.4 73.7

1.5 18.0 16.91.3 7.8 1.5

280 12,885 3,22716.4 5.0 12.6

40 63 8896 96 8793 91 8399 99 9385 84 4782 80 3489 87 66

33 23 587 .. 97 .. 11

19 23 69

14.7 23.9 29.28.7 12.2 9.87.7 3.6 3.30.1 8.6 6.00.0 0.8 1.20.1 0.0 0.30.6 0.8 0.70.9 0.4 0.7

11.9 4.8 13.8


Country data

Europe & Central

Asia group



Moldova








183,150 38,745.. 32,477

100.0 77.60.7 1.0

.. 37

.. 24,483

.. 106

0.0 28.7.. –0.1

23.7 12.920

110

0.0

0.00 28,570–3.4 –1.7

.. 2.0100.0 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41100 100

.. 98100 100100 100

.. 99100 100

.. 23

.. ..

.. ..4 6

.. 17.615.8 13.9

1.2 4.60.0 0.70.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group

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

Monaco








1,870 3,696 1,6191,162 3,264 1,454

57.5 45.9 39.41.2 3.3 2.9

75 49 471,524 585 677

146 135 128

7.0 29.6 27.90.7 –0.1 0.5

13.4 15.0 9.41120

10

4.2

0.09 96,136 38,888–1.6 3.5 2.7

.. 9.3 9.9

.. 1.4 4.4

.. 137,690 144,150

.. 56,537 60,615

1,194 1,436 6653.2 11.8 26.9

1,411 2,095 644100.0 80.3 73.7

0.0 16.2 16.94.1 4.3 1.5

12,833 4,506 3,2271.4 9.9 12.644 73 8882 90 8753 84 83

100 97 9351 66 4729 57 3464 76 66

101 56 58.. .. 9.. .. 11

32 24 69

29.8 48.4 29.210.9 10.7 9.8

5.1 2.2 3.317.5 3.8 6.014.8 1.3 1.20.0 0.0 0.31.6 1.0 0.72.8 1.1 0.7

–12.6 32.6 13.8



Country data

East Asia & Pacific

group


Mongolia








6,740 7,272 5,884.. 5,727 5,052

59.5 64.1 57.41.3 0.3 2.3

38 28 342,684 3,204 871

99 126 131

40.4 38.6 34.60.0 0.0 0.1

13.3 7.5 13.46

1025

10.0

1.9 5,573 88,932.. –3.1 0.1.. –0.9 9.2

0.85 10.4 8.5.. .. 33,390.. .. 48,478

1,384 2,831 1,848.. 1.9 8.3.. 3,859 2,714.. 65.4 72.6.. 18.0 21.6

3.1 7.8 5.3

.. 12,885 8,718

.. 5.0 5.0

.. 63 6698 96 9396 91 8699 99 9890 84 7387 80 6292 87 82

.. 23 43

.. .. ..

.. .. ..8 23 20

.. 23.9 35.111.4 12.2 11.6

.. 3.6 3.30.0 8.6 4.80.1 0.8 1.3

.. 0.0 0.00.4 0.8 0.7

.. 0.4 0.7

.. 4.8 19.1


Country data

Europe & Central

Asia group



Montenegro








2,850 3,874 1,6192,437 3,091 1,454

56.7 58.0 39.42.1 2.5 2.9

67 23 473,315 2,627 677

117 132 128

11.5 2.4 27.9–0.1 –0.1 0.51.5 3.9 9.418104728

3.5

1,138 3,614 38,8883.5 2.9 2.76.7 13.4 9.91.3 2.0 4.4

.. 5,700 144,150

.. 217 60,615

477 1,399 6653.2 0.9 26.9

756 1,497 64486.0 93.4 73.712.1 4.9 16.91.5 3.8 1.5

917 695 3,22743.4 70.0 12.6

87 86 8883 89 8761 81 8398 94 9370 88 4752 80 3483 94 66

23 66 58.. .. 9.. .. 11

36 34 69

31.5 19.2 29.210.5 10.7 9.85.2 4.3 3.30.0 12.4 6.01.6 0.4 1.20.0 0.1 0.30.4 0.7 0.70.1 0.9 0.7

24.1 –1.6 13.8


Country data

Middle East &

N. Africa group



Morocco








440 1,176 528358 946 47238.4 37.4 28.3

5.7 4.0 3.7

63 45 38234 322 288

98 130 133

49.6 28.0 27.60.5 0.6 0.6

15.8 11.7 10.7122455407.2

152 6,190 10,7257.4 1.8 3.9

26.2 16.3 4.83.3 5.8 ..

1,860 18,550 15,1202,909 27,815 25,817

427 689 36581.8 57.3 65.9453 511 2290.1 65.2 32.0

99.9 18.2 45.70.1 0.8 0.3

4,388 4,635 5,3810.3 2.2 4.374 84 9047 61 6529 49 5777 83 8618 31 37

5 23 3238 42 47

24 46 56.. .. .... 15 15

135 121 108

11.0 18.0 25.17.7 10.9 7.74.0 3.6 3.03.2 9.4 1.30.1 1.9 1.20.0 0.5 1.20.2 0.5 0.30.1 0.5 0.43.7 –2.1 15.9



Country data


Low-income group

Mozambique








.. 3,696 528

.. 3,264 47233.9 45.9 28.3

2.5 3.3 3.7

19 49 38.. 585 288

126 135 133

48.6 29.6 27.61.0 –0.1 0.66.3 15.0 10.745433937

10.0

3,914 96,136 10,7257.4 3.5 3.9

27.0 9.3 4.80.31 1.4 ..

1,870 137,690 15,1205,029 56,537 25,817

316 1,436 36569.9 11.8 65.9104 2,095 229

28.5 80.3 32.071.5 16.2 45.70.3 4.3 0.3

21,071 4,506 5,3812.8 9.9 4.389 73 9083 90 6578 84 5793 97 8676 66 3773 57 3283 76 47

41 56 56.. .. .... .. 15

66 24 108

.. 48.4 25.1

.. 10.7 7.70.8 2.2 3.0

.. 3.8 1.3

.. 1.3 1.2

.. 0.0 1.2

.. 1.0 0.30.5 1.1 0.4

.. 32.6 15.9


Country data

East Asia & Pacific

group

Low-income group

Population (millions) 48.0 Land area (1,000 sq. km) 654 GDP ($ millions) ..

Myanmar








4,510 1,176 5,8844,665 946 5,052

38.0 37.4 57.44.0 4.0 2.3

47 45 34881 322 871

90 130 131

8.9 28.0 34.60.9 0.6 0.1

14.9 11.7 13.412252725

5.2

371 6,190 88,9321.7 1.8 0.1

19.2 16.3 9.28.2 5.8 8.5

.. 18,550 33,390

.. 27,815 48,478

764 689 1,84812.0 57.3 8.3

1,576 511 2,71418.0 65.2 72.682.0 18.2 21.6

1.8 0.8 5.3

2,747 4,635 8,7181.7 2.2 5.071 84 6693 61 9390 49 8699 83 9832 31 7317 23 6257 42 82

45 46 434 .. ..

12 15 ..40 121 20

34.2 18.0 35.111.1 10.9 11.68.0 3.6 3.30.0 9.4 4.80.7 1.9 1.30.0 0.5 0.00.2 0.5 0.70.1 0.5 0.7

30.1 –2.1 19.1


Country data




Namibia








490 1,176 528474 1,111 472

18.2 30.1 28.35.8 2.7 3.7

30 55 38238 521 288110 123 133

25.4 17.1 27.61.4 –0.1 0.6

17.0 5.9 10.7313172

2.1

49.7 13,567 10,7257.3 2.9 3.95.7 8.4 4.8

.. 1.7 ..

.. 15,440 15,120

.. 10,343 25,817

338 514 36585.8 26.8 65.9

91 517 2290.4 81.6 32.0

99.6 13.6 45.70.1 1.2 0.3

6,734 1,236 5,3814.7 33.4 4.398 91 9089 90 6588 88 5793 95 8631 38 3727 28 3248 60 47

30 68 568 10 ..

12 11 1550 67 108

33.9 32.7 25.17.8 9.2 7.74.2 2.9 3.00.0 2.3 1.30.0 1.1 1.22.5 0.6 1.20.2 0.8 0.30.1 0.7 0.4

27.6 20.9 15.9


Country data

South Asia

group

Low-income group


Nepal








49,030 38,74539,531 32,477

82.9 77.61.5 1.0

57 3747,805 24,483

108 106

10.8 28.7–0.3 –0.112.4 12.9

42

130

0.2

456 28,570–0.2 –1.7–2.0 2.022.1 16.5

.. 81,790

.. 15,495

4,729 4,8564.4 4.2

6,896 9,06485.3 61.6

0.1 11.610.6 11.9

665 8,30511.7 9.4

1 41100 100100 98100 100100 100100 99100 100

30 23.. .... ..4 6

23.6 17.614.2 13.9

4.7 4.60.8 0.70.0 0.20.0 0.00.2 0.20.4 0.1

12.8 7.1


Country data

High-income group


Netherlands








.. 38,745

.. 32,47765.5 77.6

2.4 1.0

14 37.. 24,483

98 106

45.9 28.70.0 –0.1

60.2 12.99

1526

2308.5

5.0 28,570–1.1 –1.73.4 2.0

17.7 16.55,980 81,790

227 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.612.9 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

53 23.. .... .... 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Population (thousands) 247 Land area (1,000 sq. km) 18 GDP ($ millions) ..

Country data

High-income group

New Caledonia








28,770 38,74523,937 32,477

86.8 77.61.3 1.0

44 3726,556 24,483

98 106

31.4 28.7–0.3 –0.126.2 12.9

9702319

20.2

547 28,5701.2 –1.77.0 2.0

10.8 16.5.. 81,790

261 15,495

4,032 4,8566.3 4.2

9,346 9,06428.2 61.655.7 11.6

7.8 11.9

75,768 8,3051.5 9.474 41

100 100100 98100 100

.. 100

.. 99

.. 100

12 23.. .... ..6 6

17.1 17.614.0 13.9

7.2 4.60.7 0.70.3 0.20.0 0.00.2 0.20.0 0.18.5 7.1



Country data

High-income group

New Zealand








1,110 7,733 1,619965 6,894 1,45457.3 79.3 39.42.2 2.0 2.9

43 36 472,779 3,663 677

115 131 128

25.9 47.0 27.91.8 0.5 0.5

36.7 20.2 9.46

1230403.3

54.4 13,464 38,88813.3 –1.6 2.731.2 11.2 9.937.2 13.1 4.4710 15,280 144,150671 39,997 60,615

540 1,245 66545.9 17.0 26.9460 1,892 64469.1 37.8 73.78.6 55.5 16.90.8 2.8 1.5

33,221 23,323 3,2270.7 1.6 12.684 68 8885 94 8768 81 8398 98 9352 79 4737 59 3463 84 66

24 30 58.. .. 9.. .. 11

27 23 69

13.4 20.9 29.29.3 12.1 9.83.0 4.7 3.30.0 3.8 6.00.9 1.6 1.20.7 0.0 0.30.6 0.3 0.70.1 0.4 0.74.9 7.4 13.8


Country data


group



Nicaragua








370 1,176 528334 946 47216.7 37.4 28.33.9 4.0 3.7

35 45 38.. 322 288

132 130 133

1.0 28.0 27.62.4 0.6 0.67.1 11.7 10.712

742

0.9

30.0 6,190 10,72511.6 1.8 3.93.4 16.3 4.8

.. 5.8 ..

.. 18,550 15,120

.. 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.1 0.8 0.3

234 4,635 5,3817.0 2.2 4.388 84 9049 61 6539 49 57

100 83 869 31 374 23 32

34 42 47

92 46 5614 .. ..21 15 15

143 121 108

18.5 18.0 25.13.2 10.9 7.73.5 3.6 3.00.0 9.4 1.30.9 1.9 1.21.5 0.5 1.20.1 0.5 0.31.4 0.5 0.4

15.3 –2.1 15.9


Country data


Low-income group


Niger








1,180 1,176 1,619760 946 1,454

49.8 37.4 39.44.1 4.0 2.9

82 45 47.. 322 677

92 130 128

9.9 28.0 27.93.2 0.6 0.5

12.8 11.7 9.4261459

1716.0

818 6,190 38,8883.5 1.8 2.7

18.0 16.3 9.90.16 5.8 4.4

.. 18,550 144,1507,356 27,815 60,615

701 689 66584.9 57.3 26.9121 511 64477.1 65.2 73.722.9 18.2 16.9

0.6 0.8 1.5

1,431 4,635 3,2273.6 2.2 12.653 84 8858 61 8743 49 8374 83 9331 31 4727 23 3435 42 66

42 46 583 .. 9

10 15 11143 121 69

.. 18.0 29.29.9 10.9 9.80.9 3.6 3.3

21.7 9.4 6.00.0 1.9 1.20.3 0.5 0.30.5 0.5 0.70.7 0.5 0.7

.. –2.1 13.8


Country data




Nigeria








.. 38,745

.. 32,47791.3 77.6

1.7 1.0

7 37.. 24,483.. 106

65.2 28.70.6 –0.1

12.8 12.95

15114

2.2

0.27 28,5701.7 –1.7

.. 2.028.7 16.5<50 81,7900.07 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 4198 10097 9898 10094 10096 9994 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1



Country data

High-income group

Northern Mariana Islands








87,350 38,74565,757 32,477

77.6 77.61.1 1.0

3 3746,480 24,483

103 106

32.9 28.7–0.5 –0.114.6 12.9

72

192

1.3

3,683 28,5702.6 –1.7

10.0 2.02.4 16.5

.. 81,790

.. 15,495

5,849 4,8565.1 4.2

23,550 9,0643.3 61.6

95.7 11.610.5 11.9

79,110 8,3050.8 9.429 41

100 100100 98100 100100 100100 99100 100

15 23.. .... ..3 6

35.2 17.614.5 13.96.0 4.6

10.2 0.70.0 0.20.0 0.00.1 0.20.0 0.1

16.4 7.1


Country data

High-income group


Norway








18,260 38,7459,431 32,477

71.7 77.62.4 1.0

6 37.. 24,483

97 106

0.0 28.70.0 –0.1

10.7 12.99

1126

63.7

164 28,5701.6 –1.7

.. 2.01.3 16.5

530 81,79010.9 15,495

5,554 4,8560.0 4.2

5,724 9,064100.0 61.6

0.0 11.617.3 11.9

516 8,30586.6 9.4

88 4189 10078 9893 10099 10095 99

100 100

82 23.. .... ..9 6

39.7 17.613.5 13.9

4.2 4.628.5 0.7

0.0 0.20.0 0.00.8 0.20.0 0.1

–8.5 7.1


Country data

High-income group


Oman








1,050 1,176 1,619939 1,111 1,45437.0 30.1 39.43.1 2.7 2.9

34 55 47947 521 677115 123 128

2.2 17.1 27.92.0 –0.1 0.5

10.1 5.9 9.4232734

24.9

593 13,567 38,888–0.2 2.9 2.714.1 8.4 9.91.8 1.7 4.4

.. 15,440 144,150977 10,343 60,615

502 514 66534.5 26.8 26.9449 517 64467.5 81.6 73.729.4 13.6 16.9

1.0 1.2 1.5

323 1,236 3,22779.5 33.4 12.6

94 91 8892 90 8789 88 8396 95 9348 38 4734 28 3472 60 66

101 68 5814 10 922 11 1187 67 69

21.0 32.7 29.28.5 9.2 9.81.6 2.9 3.32.1 2.3 6.00.1 1.1 1.20.7 0.6 0.30.7 0.8 0.71.1 0.7 0.79.4 20.9 13.8


Country data

South Asia

group



Pakistan








6,560 3,696 5,884.. 3,264 5,052

82.7 45.9 57.42.4 3.3 2.3

11 49 34.. 585 871.. 135 131

87.0 29.6 34.6–0.3 –0.1 0.12.0 15.0 13.4

44

143

1.2

1.0 96,136 88,932–0.4 3.5 0.19.4 9.3 9.25.3 1.4 8.5

1,150 137,690 33,39048.5 56,537 48,478

.. 1,436 1,848

.. 11.8 8.3

.. 2,095 2,714

.. 80.3 72.6

.. 16.2 21.610.5 4.3 5.3

.. 4,506 8,718

.. 9.9 5.0

.. 73 6685 90 9396 84 8683 97 98

100 66 73100 57 62100 76 82

.. 56 43

.. .. ..

.. .. ..19 24 20

.. 48.4 35.114.8 10.7 11.6

.. 2.2 3.30.0 3.8 4.80.0 1.3 1.3

.. 0.0 0.01.1 1.0 0.7

.. 1.1 0.7

.. 32.6 19.1


Country data

East Asia & Pacific

group



Palau








6,970 7,733 5,8846,243 6,894 5,052

74.8 79.3 57.43.5 2.0 2.3

30 36 344,109 3,663 871

102 131 131

43.7 47.0 34.60.8 0.5 0.1

18.7 20.2 13.4151741

19210.9

170 13,464 88,9321.2 –1.6 0.13.0 11.2 9.24.0 13.1 8.5

720 15,280 33,3901,744 39,997 48,478

896 1,245 1,84810.7 17.0 8.3

1,735 1,892 2,71443.6 37.8 72.656.1 55.5 21.6

2.0 2.8 5.3

42,578 23,323 8,7180.3 1.6 5.051 68 6693 94 9383 81 8697 98 9868 79 7351 59 6275 84 82

33 30 43.. .. .... .. ..

20 23 20

19.5 20.9 35.112.3 12.1 11.6

3.5 4.7 3.30.0 3.8 4.80.0 1.6 1.30.0 0.0 0.00.2 0.3 0.70.2 0.4 0.7

10.3 7.4 19.1


Country data


group



Panama








1,300 3,696 1,619924 3,264 1,454

12.5 45.9 39.41.6 3.3 2.9

3 49 47683 585 677108 135 128

63.4 29.6 27.90.5 –0.1 0.53.1 15.0 9.4393742

14225.4

226 96,136 38,88811.3 3.5 2.731.2 9.3 9.90.32 1.4 4.4

13,840 137,690 144,1504,265 56,537 60,615

.. 1,436 665

.. 11.8 26.9

.. 2,095 644

.. 80.3 73.7

.. 16.2 16.90.3 4.3 1.5

119,492 4,506 3,2270.0 9.9 12.6

0 73 8840 90 8733 84 8387 97 9345 66 4741 57 3471 76 66

16 56 58.. .. 9.. .. 11

61 24 69

20.8 48.4 29.29.4 10.7 9.8

.. 2.2 3.30.0 3.8 6.0

22.2 1.3 1.20.0 0.0 0.30.4 1.0 0.70.0 1.1 0.7

.. 32.6 13.8


Country data

East Asia & Pacific

group



Papua New Guinea








2,720 7,733 1,6192,493 6,894 1,454

61.5 79.3 39.43.3 2.0 2.9

53 36 472,710 3,663 677

110 131 128

44.3 47.0 27.90.9 0.5 0.55.4 20.2 9.4

82709

2.8

4.7 13,464 38,888–9.5 –1.6 2.721.4 11.2 9.9

.. 13.1 4.4

.. 15,280 144,150

.. 39,997 60,615

749 1,245 66553.7 17.0 26.9

1,056 1,892 6440.0 37.8 73.7

100.0 55.5 16.90.7 2.8 1.5

14,822 23,323 3,2270.1 1.6 12.671 68 8886 94 8766 81 8399 98 9371 79 4740 59 3490 84 66

65 30 58.. .. 9.. .. 11

25 23 69

23.0 20.9 29.210.4 12.1 9.8

3.7 4.7 3.30.0 3.8 6.00.0 1.6 1.20.0 0.0 0.30.2 0.3 0.71.1 0.4 0.7

15.1 7.4 13.8


Country data


group



Paraguay








4,700 7,733 5,8844,049 6,894 5,052

71.6 79.3 57.41.7 2.0 2.3

17 36 341,607 3,663 871

123 131 131

53.1 47.0 34.60.2 0.5 0.1

13.6 20.2 13.4549820

26833.4

4,350 13,464 88,932–2.4 –1.6 0.115.2 11.2 9.2

2.8 13.1 8.5.. 15,280 33,390

53.1 39,997 48,478

550 1,245 1,84815.4 17.0 8.3

1,136 1,892 2,71441.0 37.8 72.657.6 55.5 21.61.4 2.8 5.3

56,179 23,323 8,7181.0 1.6 5.085 68 6685 94 9365 81 8691 98 9871 79 7337 59 6281 84 82

43 30 43.. .. .... .. ..

19 23 20

24.4 20.9 35.111.8 12.1 11.6

2.1 4.7 3.31.3 3.8 4.86.8 1.6 1.30.0 0.0 0.00.2 0.3 0.70.4 0.4 0.75.9 7.4 19.1


Country data


group



Peru








2,060 3,696 1,6191,889 3,264 1,454

66.4 45.9 39.43.6 3.3 2.9

40 49 471,119 585 677

112 135 128

25.7 29.6 27.9–0.8 –0.1 0.510.9 15.0 9.4

387471

21032.3

5,158 96,136 38,8881.8 3.5 2.76.9 9.3 9.92.5 1.4 4.4

25,060 137,690 144,1502,565 56,537 60,615

424 1,436 66517.9 11.8 26.9593 2,095 64467.4 80.3 73.715.8 16.2 16.9

0.9 4.3 1.5

5,223 4,506 3,22717.0 9.9 12.6

82 73 8892 90 8792 84 8393 97 9374 66 4769 57 3479 76 66

17 56 585 .. 99 .. 11

29 24 69

27.2 48.4 29.29.8 10.7 9.82.4 2.2 3.30.4 3.8 6.01.5 1.3 1.20.1 0.0 0.30.3 1.0 0.70.1 1.1 0.7

17.3 32.6 13.8



Country data

East Asia & Pacific

group


Philippines








12,440 38,74510,180 32,477

61.2 77.60.0 1.0

53 372,994 24,483

104 106

30.7 28.7–0.3 –0.122.4 12.9

5678

0.5

220 28,570–4.2 –1.70.8 2.04.1 16.5

.. 81,790

.. 15,495

2,464 4,8567.1 4.2

3,591 9,06494.1 61.6

1.6 11.68.3 11.9

1,405 8,30519.4 9.4

10 41.. 100.. 98

100 10090 10080 9996 100

34 23.. .... ..6 6

17.5 17.612.7 13.94.9 4.61.0 0.70.4 0.20.1 0.00.6 0.20.4 0.17.4 7.1


Country data

High-income group


Poland








21,870 38,74516,929 32,477

60.7 77.61.5 1.0

40 377,019 24,483

98 106

37.8 28.7–0.2 –0.18.3 12.9118

53685.5

226 28,570–1.9 –1.7–2.2 2.03.1 16.5

.. 81,790

.. 15,495

2,266 4,85613.6 4.2

4,815 9,06462.4 61.616.7 11.65.3 11.9

3,574 8,30512.3 9.4

73 4199 100

100 9899 100

100 100100 99100 100

20 23.. .... ..4 6

10.8 17.618.4 13.9

4.9 4.60.0 0.70.1 0.20.0 0.00.2 0.20.0 0.1

–3.1 7.1


Country data

High-income group


Portugal








15,500 38,745.. 32,477

98.8 77.62.2 1.0

21 37.. 24,483

103 106

62.2 28.7–3.3 –0.110.1 12.9

38

1951

4.0

1.9 28,570–0.1 –1.7–9.0 2.01.6 16.5

480 81,79073.9 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

1,790 8,30514.0 9.4

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

14 23.. .... .... 6

.. 17.620.0 13.9

.. 4.60.0 0.70.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1



Country data

High-income group

Puerto Rico








.. 38,745

.. 32,47795.8 77.6

6.8 1.0

6 37.. 24,483

168 106

0.0 28.7.. –0.1

2.5 12.934

110

0.1

13.8 28,5704.5 –1.7

.. 2.00.25 16.5700 81,79012.3 15,495

14,911 4,8560.0 4.2

14,421 9,064100.0 61.6

0.0 11.649.1 11.9

35 8,305455.2 9.4

59 41100 100100 98100 100100 100100 99100 100

31 23.. .... ..8 6

.. 17.6

.. 13.91.8 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.20.1 0.1

.. 7.1


Country data

High-income group


Qatar








7,850 7,272 5,8846,427 5,727 5,05254.6 64.1 57.4–0.3 0.3 2.3

59 28 349,700 3,204 871

93 126 131

28.6 38.6 34.6–0.2 0.0 0.1

7.1 7.5 13.47

1119

40.7

11.7 5,573 88,932–16.2 –3.1 0.1–6.6 –0.9 9.233.3 10.4 8.5

.. .. 33,390

.. .. 48,478

1,602 2,831 1,84811.4 1.9 8.3

2,267 3,859 2,71452.7 65.4 72.626.9 18.0 21.6

4.4 7.8 5.3

1,969 12,885 8,7183.2 5.0 5.017 63 6689 96 9376 91 8699 99 9873 84 7354 80 6288 87 82

14 23 43.. .. .... .. ..

14 23 20

26.7 23.9 35.111.7 12.2 11.63.4 3.6 3.31.6 8.6 4.80.0 0.8 1.30.0 0.0 0.00.5 0.8 0.70.0 0.4 0.7

16.2 4.8 19.1



Country data

Europe & Central

Asia group


Romania








9,900 7,272 5,8847,406 5,727 5,05272.8 64.1 57.4–0.3 0.3 2.3

13 28 342,731 3,204 871

106 126 131

49.4 38.6 34.60.0 0.0 0.19.1 7.5 13.4324935

834.1

4,191 5,573 88,932–2.9 –3.1 0.1–3.7 –0.9 9.210.8 10.4 8.5

.. .. 33,390

.. .. 48,478

4,561 2,831 1,8481.0 1.9 8.3

6,136 3,859 2,71465.5 65.4 72.617.6 18.0 21.612.0 7.8 5.3

30,405 12,885 8,7181.5 5.0 5.020 63 6697 96 9392 91 8699 99 9870 84 7359 80 6274 87 82

16 23 43.. .. .... .. ..

12 23 20

28.6 23.9 35.112.4 12.2 11.63.5 3.6 3.3

13.2 8.6 4.81.1 0.8 1.30.0 0.0 0.00.9 0.8 0.70.1 0.4 0.74.5 4.8 19.1


Country data

Europe & Central

Asia group



Russian Federation








520 1,176 528467 946 472

18.9 37.4 28.38.3 4.0 3.7

81 45 38.. 322 288

121 130 133

17.6 28.0 27.6–1.6 0.6 0.610.0 11.7 10.7

2012

94

0.9

9.7 6,190 10,7257.0 1.8 3.96.9 16.3 4.8

.. 5.8 ..

.. 18,550 15,120

.. 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.1 0.8 0.3

921 4,635 5,3811.6 2.2 4.368 84 9065 61 6563 49 5776 83 8655 31 3756 23 3252 42 47

23 46 5615 .. ..14 15 1591 121 108

15.1 18.0 25.18.0 10.9 7.74.2 3.6 3.00.0 9.4 1.30.1 1.9 1.23.0 0.5 1.20.1 0.5 0.30.1 0.5 0.47.7 –2.1 15.9



Country data


Low-income group

Rwanda








2,980 3,696 1,6192,700 3,264 1,45423.4 45.9 39.4

1.1 3.3 2.9

24 49 471,748 585 677

104 135 128

60.4 29.6 27.9–1.4 –0.1 0.53.4 15.0 9.4

26

122

1.6

13.0 96,136 38,88811.4 3.5 2.7

.. 9.3 9.90.55 1.4 4.4490 137,690 144,1503.7 56,537 60,615

320 1,436 665.. 11.8 26.9.. 2,095 644.. 80.3 73.7.. 16.2 16.9

0.9 4.3 1.5

.. 4,506 3,227

.. 9.9 12.6

.. 73 8896 90 8796 84 8396 97 9398 66 4798 57 3498 76 66

.. 56 58

.. .. 9

.. .. 1120 24 69

.. 48.4 29.210.6 10.7 9.84.4 2.2 3.30.0 3.8 6.00.0 1.3 1.20.3 0.0 0.30.2 1.0 0.7

.. 1.1 0.7

.. 32.6 13.8


Country data

East Asia & Pacific

group



Samoa








50,400 38,745.. 32,477

94.3 77.61.5 1.0

17 37.. 24,483.. 106

0.0 28.7.. –0.1.. 12.90000

0.0

.. 28,570

.. –1.7

.. 2.0

.. 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

8 23.. .... ..2 6

.. 17.616.3 13.9

.. 4.60.0 0.70.0 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group


San Marino








1,200 1,176 1,6191,092 946 1,45462.2 37.4 39.4

3.5 4.0 2.9

58 45 47.. 322 677

116 130 128

28.1 28.0 27.90.0 0.6 0.5

.. 11.7 9.45

1212342.7

4.7 6,190 38,8881.0 1.8 2.7

.. 16.3 9.9

.. 5.8 4.4

.. 18,550 144,1501.4 27,815 60,615

280 689 665.. 57.3 26.9.. 511 644.. 65.2 73.7.. 18.2 16.9

0.8 0.8 1.5

13,414 4,635 3,2270.3 2.2 12.6

.. 84 8889 61 8788 49 8389 83 9326 31 4719 23 3430 42 66

27 46 58.. .. 9.. 15 11

80 121 69

.. 18.0 29.28.9 10.9 9.8

.. 3.6 3.30.0 9.4 6.00.0 1.9 1.20.8 0.5 0.30.6 0.5 0.70.2 0.5 0.7

.. –2.1 13.8


Country data




São Tomé and Príncipe








16,190 38,7458,357 32,477

83.6 77.63.1 1.0

81 3720,233 24,483

102 106

0.5 28.70.0 –0.1

31.3 12.99

1523

33.2

91.5 28,5702.4 –1.7

13.8 2.03.4 16.5

6,660 81,790204 15,495

5,888 4,8560.0 4.2

7,427 9,064100.0 61.6

0.0 11.616.6 11.9

90 8,305943.3 9.4

88 41.. 100.. 98

97 100.. 100.. 99

100 100

103 23.. .... ..

18 6

32.5 17.612.1 13.9

7.2 4.629.1 0.7

0.0 0.20.0 0.00.8 0.21.2 0.1

–3.6 7.1


Country data

High-income group


Saudi Arabia








1,090 1,176 1,619937 946 1,454

42.9 37.4 39.43.2 4.0 2.9

49 45 47256 322 677136 130 128

44.0 28.0 27.90.5 0.6 0.5

24.1 11.7 9.4161045

91.0

410 6,190 38,8881.4 1.8 2.7

13.0 16.3 9.912.4 5.8 4.4

.. 18,550 144,1501,279 27,815 60,615

243 689 66541.1 57.3 26.9196 511 644

88.1 65.2 73.78.4 18.2 16.90.4 0.8 1.5

2,131 4,635 3,2275.7 2.2 12.693 84 8872 61 8756 49 8393 83 9352 31 4739 23 3470 42 66

80 46 5813 .. 922 15 1175 121 69

19.7 18.0 29.28.9 10.9 9.85.2 3.6 3.30.0 9.4 6.00.8 1.9 1.20.0 0.5 0.30.3 0.5 0.70.7 0.5 0.7

13.7 –2.1 13.8



Country data



Senegal








5,630 7,272 5,884.. 5,727 5,052

52.4 64.1 57.40.0 0.3 2.3

58 28 342,057 3,204 871

99 126 131

31.0 38.6 34.6–0.8 0.0 0.16.0 7.5 13.4

69

112

0.2

13.0 5,573 88,932.. –3.1 0.1.. –0.9 9.2.. 10.4 8.5.. .. 33,390.. .. 48,478

1,974 2,831 1,8482.0 1.9 8.3

4,224 3,859 2,71472.6 65.4 72.627.4 18.0 21.66.8 7.8 5.3

.. 12,885 8,718

.. 5.0 5.02 63 66

99 96 9398 91 8699 99 9892 84 7388 80 6296 87 82

.. 23 43

.. .. ..

.. .. ..7 23 20

15.9 23.9 35.111.3 12.2 11.65.0 3.6 3.31.9 8.6 4.80.0 0.8 1.3

.. 0.0 0.01.0 0.8 0.7

.. 0.4 0.7

.. 4.8 19.1


Country data

Europe & Central

Asia group



Serbia








9,710 1,176 5,8848,529 946 5,052

55.3 37.4 57.41.6 4.0 2.3

7 45 34701 322 87182 130 131

89.1 28.0 34.60.0 0.6 0.1

42.0 11.7 13.45

1017553.5

87.4 6,190 88,93214.9 1.8 0.116.2 16.3 9.20.51 5.8 8.5

1,690 18,550 33,39032.3 27,815 48,478

2,411 689 1,848.. 57.3 8.3.. 511 2,714.. 65.2 72.6.. 18.2 21.6

7.8 0.8 5.3

.. 4,635 8,718

.. 2.2 5.07 84 66.. 61 93.. 49 86

100 83 98.. 31 73.. 23 62

98 42 82

.. 46 43

.. .. ..

.. 15 ..14 121 20

11.9 18.0 35.113.2 10.9 11.6

4.6 3.6 3.30.0 9.4 4.80.0 1.9 1.30.0 0.5 0.00.7 0.5 0.7

.. 0.5 0.7

.. –2.1 19.1



Country data



Seychelles








340 1,176 528294 946 472

38.4 37.4 28.32.7 4.0 3.7

48 45 38.. 322 288

104 130 133

38.1 28.0 27.60.7 0.6 0.64.9 11.7 10.7171047481.3

200 6,190 10,7256.5 1.8 3.93.5 16.3 4.80.0 5.8 ..

.. 18,550 15,1201,049 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.2 0.8 0.3

27,878 4,635 5,3810.3 2.2 4.371 84 9055 61 6535 49 5787 83 8613 31 37

6 23 3223 42 47

37 46 567 .. ..

13 15 15174 121 108

13.0 18.0 25.17.2 10.9 7.73.4 3.6 3.00.0 9.4 1.30.6 1.9 1.21.5 0.5 1.20.6 0.5 0.31.1 0.5 0.45.4 –2.1 15.9


Country data


Low-income group


Sierra Leone








40,070 38,74533,902 32,477

100.0 77.62.6 1.0

0 3729,145 24,483

98 106

2.9 28.70.0 –0.15.4 12.9111525570.1

5.2 28,570–9.0 –1.73.2 2.01.4 16.5

<100 81,7904.6 15,495

3,704 4,8560.2 4.2

7,949 9,06499.8 61.6

0.0 11.66.7 11.9

120 8,305.. 9.4.. 41

100 100.. 98

100 100100 100

.. 99100 100

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

47.7 17.614.4 13.93.0 4.60.0 0.70.0 0.20.0 0.00.2 0.20.4 0.1

35.7 7.1


Population (millions) 5.1 Land area (sq. km) 700 GDP ($ billions) 208.8

Country data

High-income group

Singapore








.. 38,745

.. 32,477

.. 77.6

.. 1.0

.. 37

.. 24,483

.. 106

.. 28.7

.. –0.1

.. 12.9

..

..

..

..

..

.. 28,570

.. –1.7

.. 2.0

.. 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1



Country data

High-income group

Sint Maarten (Dutch part)








16,840 38,74513,769 32,477

56.8 77.60.1 1.0

40 379,924 24,483

92 106

40.2 28.70.0 –0.1

23.2 12.93655

0.1

2.3 28,570.. –1.7.. 2.0.. 16.5.. 81,790.. 15,495

3,086 4,8565.2 4.2

4,925 9,06426.5 61.616.9 11.66.9 11.9

2,325 8,3051.4 9.4

3 41100 100100 98100 100100 10099 99

100 100

12 23.. .... ..8 6

20.4 17.612.7 13.93.5 4.60.0 0.70.0 0.20.3 0.00.4 0.20.0 0.1

10.4 7.1


Country data

High-income group


Slovak Republic








23,900 38,74519,507 32,477

48.0 77.6–0.1 1.0

23 3776,633 24,483

93 106

62.2 28.7–0.3 –0.113.2 12.9

42

297

0.2

1.7 28,570.. –1.7.. 2.0

0.68 16.5.. 81,790.. 15,495

3,417 4,8567.2 4.2

6,103 9,06435.1 61.628.7 11.68.5 11.9

9,153 8,3053.0 9.4

0 4199 10099 98

100 100100 100100 99100 100

26 23.. .... ..3 6

22.4 17.613.3 13.9

4.9 4.60.1 0.70.0 0.20.2 0.00.3 0.20.1 0.1

13.3 7.1



Country data

High-income group

Slovenia








1,030 3,696 1,619755 3,264 1,45418.6 45.9 39.44.3 3.3 2.9

3 49 471,777 585 677

110 135 128

79.1 29.6 27.90.2 –0.1 0.50.1 15.0 9.420201616

4.4

43.2 96,136 38,888–0.7 3.5 2.744.6 9.3 9.90.12 1.4 4.4

5,750 137,690 144,150603 56,537 60,615

129 1,436 665.. 11.8 26.9.. 2,095 644.. 80.3 73.7.. 16.2 16.9

0.4 4.3 1.5

85,285 4,506 3,227.. 9.9 12.6.. 73 88

70 90 8765 84 8394 97 9332 66 4718 57 3498 76 66

31 56 58.. .. 9.. .. 11

27 24 69

10.2 48.4 29.211.1 10.7 9.83.8 2.2 3.30.0 3.8 6.00.0 1.3 1.2

15.6 0.0 0.30.3 1.0 0.70.1 1.1 0.7

–6.6 32.6 13.8


Country data

East Asia & Pacific

group


Population (thousands) 538 Land area (1,000 sq. km) 28 GDP ($ millions) 678.6

Solomon Islands








.. 1,176 528

.. 946 47237.4 37.4 28.32.9 4.0 3.7

70 45 38.. 322 288

100 130 133

10.8 28.0 27.61.0 0.6 0.60.6 11.7 10.715122721

6.1

30.0 6,190 10,7251.4 1.8 3.9

.. 16.3 4.80.0 5.8 ..710 18,550 15,120

48.0 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.1 0.8 0.3

658 4,635 5,38122.4 2.2 4.3

99 84 9029 61 65

7 49 5766 83 8623 31 37

6 23 3252 42 47

28 46 56.. .. .... 15 15

180 121 108

.. 18.0 25.1

.. 10.9 7.7

.. 3.6 3.0

.. 9.4 1.3

.. 1.9 1.2

.. 0.5 1.2

.. 0.5 0.30.5 0.5 0.4

.. –2.1 15.9


Population (millions) 9.3 Land area (1,000 sq. km) 627 GDP ($ millions) ..

Country data


Low-income group

Somalia








6,090 1,176 5,8845,738 946 5,052

61.7 37.4 57.42.6 4.0 2.3

82 45 343,662 322 871

109 130 131

4.7 28.0 34.61.8 0.6 0.16.9 11.7 13.424408765

20.7

629 6,190 88,9320.8 1.8 0.11.8 16.3 9.26.5 5.8 8.5

.. 18,550 33,39030.5 27,815 48,478

2,921 689 1,8489.8 57.3 8.3

4,532 511 2,71494.1 65.2 72.6

0.6 18.2 21.68.9 0.8 5.3

908 4,635 8,71825.0 2.2 5.0

63 84 6691 61 9379 49 8699 83 9879 31 7367 23 6286 42 82

26 46 43.. .. .... 15 ..

57 121 20

16.8 18.0 35.113.5 10.9 11.6

5.4 3.6 3.33.3 9.4 4.82.6 1.9 1.30.2 0.5 0.00.9 0.5 0.70.2 0.5 0.71.6 –2.1 19.1


Country data




South Africa








.. 1,176 1,619

.. 946 1,454

.. 37.4 39.4

.. 4.0 2.9

.. 45 47

.. 322 677

.. 130 128

.. 28.0 27.9

.. 0.6 0.5

.. 11.7 9.4

..

..

..

..

..

.. 6,190 38,888

.. 1.8 2.7

.. 16.3 9.9

.. 5.8 4.4

.. 18,550 144,150

.. 27,815 60,615

.. 689 665

.. 57.3 26.9

.. 511 644

.. 65.2 73.7

.. 18.2 16.9

.. 0.8 1.5

.. 4,635 3,227

.. 2.2 12.6

.. 84 88

.. 61 87

.. 49 83

.. 83 93

.. 31 47

.. 23 34

.. 42 66

.. 46 58

.. .. 9

.. 15 11

.. 121 69

.. 18.0 29.2

.. 10.9 9.8

.. 3.6 3.3

.. 9.4 6.0

.. 1.9 1.2

.. 0.5 0.3

.. 0.5 0.7

.. 0.5 0.7

.. –2.1 13.8


Country data



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

South Sudan








31,750 38,74526,023 32,477

77.4 77.61.0 1.0

55 3722,035 24,483

104 106

36.4 28.7–1.4 –0.18.6 12.9169

712056.8

1,221 28,570–0.7 –1.71.1 2.03.5 16.5

.. 81,790

.. 15,495

2,756 4,8564.9 4.2

6,006 9,06456.2 61.6

9.0 11.67.2 11.9

2,422 8,30529.0 9.4

61 41100 100100 98100 100100 100100 99100 100

25 23.. .... ..5 6

19.1 17.613.6 13.94.2 4.60.0 0.70.0 0.20.0 0.00.2 0.20.2 0.19.2 7.1


Country data

High-income group


Spain








2,240 1,176 1,6192,101 1,111 1,45415.1 30.1 39.40.3 2.7 2.9

42 55 47966 521 677112 123 128

29.7 17.1 27.91.2 –0.1 0.5

21.5 5.9 9.4291544

2827.9

444 13,567 38,8884.4 2.9 2.7

10.8 8.4 9.91.1 1.7 4.4

680 15,440 144,15088.8 10,343 60,615

449 514 66551.1 26.8 26.9408 517 64460.3 81.6 73.739.5 13.6 16.9

0.6 1.2 1.5

2,555 1,236 3,22724.5 33.4 12.6

87 91 8891 90 8790 88 8399 95 9392 38 4793 28 3488 60 66

71 68 58.. 10 9.. 11 11

17 67 69

25.1 32.7 29.210.1 9.2 9.8

1.7 2.9 3.30.0 2.3 6.00.0 1.1 1.20.3 0.6 0.30.2 0.8 0.70.3 0.7 0.7

15.9 20.9 13.8


Country data

South Asia

group



Sri Lanka








11,830 7,733 5,884.. 6,894 5,052

32.4 79.3 57.40.8 2.0 2.3

19 36 341,317 3,663 871

78 131 131

42.3 47.0 34.60.0 0.5 0.13.6 20.2 13.4

21

182

0.1

21.1 13,464 88,93219.3 –1.6 0.1

.. 11.2 9.20.53 13.1 8.5180 15,280 33,390

0.68 39,997 48,478

1,645 1,245 1,848.. 17.0 8.3.. 1,892 2,714.. 37.8 72.6.. 55.5 21.6

4.9 2.8 5.3

464 23,323 8,718.. 1.6 5.0.. 68 66

99 94 9399 81 8699 98 9896 79 7396 59 6296 84 82

15 30 43.. .. .... .. ..8 23 20

7.7 20.9 35.112.9 12.1 11.6

3.5 4.7 3.30.0 3.8 4.80.0 1.6 1.3

.. 0.0 0.00.3 0.3 0.7

.. 0.4 0.7

.. 7.4 19.1



Country data


group


St. Kitts and Nevis








6,560 7,733 5,884.. 6,894 5,052

28.0 79.3 57.41.1 2.0 2.3

18 36 341,351 3,663 871

103 131 131

77.0 47.0 34.6–0.3 0.5 0.114.3 20.2 13.4

25

195

1.4

1.9 13,464 88,9323.5 –1.6 0.13.5 11.2 9.2

0.06 13.1 8.5160 15,280 33,3901.9 39,997 48,478

760 1,245 1,848.. 17.0 8.3.. 1,892 2,714.. 37.8 72.6.. 55.5 21.6

2.3 2.8 5.3

.. 23,323 8,718

.. 1.6 5.0

.. 68 6696 94 9395 81 8698 98 9865 79 7363 59 6271 84 82

30 30 43.. .. .... .. ..

16 23 20

19.3 20.9 35.111.8 12.1 11.64.5 4.7 3.30.0 3.8 4.80.0 1.6 1.3

.. 0.0 0.00.3 0.3 0.70.0 0.4 0.7

.. 7.4 19.1


Country data


group



St. Lucia








.. 38,745

.. 32,477

.. 77.6

.. 1.0

.. 37

.. 24,483

.. 106

.. 28.7

.. –0.1

.. 12.91042..

.. 28,570

.. –1.7

.. 2.0

.. 16.5

.. 81,790

.. 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1



Country data

High-income group

St. Martin (French part)








6,320 7,733 5,8845,610 6,894 5,052

47.8 79.3 57.40.9 2.0 2.3

26 36 342,689 3,663 871

103 131 131

69.2 47.0 34.6–0.4 0.5 0.110.9 20.2 13.4

22

194

1.0

65.6 13,464 88,93210.5 –1.6 0.1

.. 11.2 9.20.61 13.1 8.5140 15,280 33,390

0.90 39,997 48,478

642 1,245 1,848.. 17.0 8.3.. 1,892 2,714.. 37.8 72.6.. 55.5 21.6

1.8 2.8 5.3

.. 23,323 8,718

.. 1.6 5.0

.. 68 66

.. 94 93

.. 81 86

.. 98 98

.. 79 7396 59 62

.. 84 82

23 30 43.. .. .... .. ..

21 23 20

–6.6 20.9 35.111.5 12.1 11.64.5 4.7 3.30.0 3.8 4.80.0 1.6 1.30.0 0.0 0.00.2 0.3 0.70.1 0.4 0.7

–13.9 7.4 19.1



Country data


group


St. Vincent & Grenadines








1,270 1,176 1,619987 946 1,454

45.2 37.4 39.45.1 4.0 2.9

58 45 47929 322 677103 130 128

29.4 28.0 27.90.4 0.6 0.54.2 11.7 9.415151916

5.1

73.9 6,190 38,8884.2 1.8 2.7

11.9 16.3 9.90.05 5.8 4.4

2,720 18,550 144,1509.8 27,815 60,615

372 689 66568.0 57.3 26.9114 511 644

52.2 65.2 73.747.8 18.2 16.90.3 0.8 1.5

706 4,635 3,22757.6 2.2 12.6

97 84 8858 61 8752 49 8367 83 9326 31 4714 23 3444 42 66

137 46 58.. .. 9.. 15 11

103 121 69

19.7 18.0 29.210.3 10.9 9.80.9 3.6 3.3

12.9 9.4 6.00.0 1.9 1.20.0 0.5 0.30.2 0.5 0.70.9 0.5 0.7

–3.6 –2.1 13.8


Country data




Sudan








5,920 7,733 5,8845,213 6,894 5,05275.6 79.3 57.4

1.8 2.0 2.3

1 36 343,394 3,663 871

118 131 131

94.6 47.0 34.60.0 0.5 0.1

11.6 20.2 13.480

26262.7

34.5 13,464 88,9328.7 –1.6 0.1

.. 11.2 9.222.9 13.1 8.5

.. 15,280 33,390510 39,997 48,478

1,400 1,245 1,848.. 17.0 8.3.. 1,892 2,714.. 37.8 72.6.. 55.5 21.6

4.7 2.8 5.3

169,276 23,323 8,7180.5 1.6 5.093 68 6692 94 9381 81 8697 98 9883 79 7366 59 6290 84 82

22 30 43.. .. .... .. ..

31 23 20

9.2 20.9 35.111.3 12.1 11.6

.. 4.7 3.30.0 3.8 4.85.5 1.6 1.30.0 0.0 0.00.6 0.3 0.70.2 0.4 0.7

.. 7.4 19.1



Country data


group


Suriname








2,950 1,176 1,6193,033 946 1,454

25.5 37.4 39.42.1 4.0 2.9

71 45 471,217 322 677

101 130 128

32.7 28.0 27.9–0.9 0.6 0.53.0 11.7 9.4

51143

0.1

0.28 6,190 38,8880.4 1.8 2.78.0 16.3 9.9

.. 5.8 4.4

.. 18,550 144,150

.. 27,815 60,615

415 689 665.. 57.3 26.9.. 511 644.. 65.2 73.7.. 18.2 16.9

1.1 0.8 1.5

2,530 4,635 3,22723.1 2.2 12.6

97 84 8871 61 8765 49 8391 83 9357 31 4755 23 3464 42 66

38 46 588 .. 9

13 15 1178 121 69

2.7 18.0 29.210.6 10.9 9.86.9 3.6 3.30.0 9.4 6.00.0 1.9 1.20.1 0.5 0.30.2 0.5 0.70.1 0.5 0.7

–1.4 –2.1 13.8


Country data




Swaziland








50,100 38,74543,007 32,477

84.7 77.60.6 1.0

8 3751,585 24,483

101 106

68.7 28.7–0.2 –0.110.9 12.9

12

124

0.3

223 28,570–0.8 –1.70.8 2.05.3 16.5

.. 81,790

.. 15,495

4,883 4,85622.9 4.2

14,142 9,0642.3 61.6

48.2 11.65.3 11.9

18,390 8,3051.5 9.4

4 41100 100100 98100 100100 100100 99100 100

10 23.. .... ..3 6

24.5 17.613.2 13.9

6.2 4.60.0 0.70.4 0.20.0 0.00.1 0.20.0 0.1

17.0 7.1



Country data

High-income group

Sweden








71,520 38,74562,855 32,477

73.6 77.60.8 1.0

38 3727,066 24,483

103 106

31.0 28.7–0.4 –0.124.9 12.9

2192

0.2

2.9 28,570–3.2 –1.70.8 2.0

.. 16.5

.. 81,790

.. 15,495

3,480 4,8568.2 4.2

8,021 9,0641.2 61.6

53.6 11.65.3 11.9

5,217 8,3054.9 9.4

2 41100 100100 98100 100100 100100 99100 100

22 23.. .... ..5 6

33.4 17.613.5 13.95.3 4.60.0 0.70.0 0.20.0 0.00.1 0.20.1 0.1

25.0 7.1


Country data

High-income group


Switzerland








2,750 3,874 1,6192,173 3,091 1,45454.9 58.0 39.4

3.1 2.5 2.9

76 23 47.. 2,627 677

96 132 128

2.7 2.4 27.9–1.4 –0.1 0.50.6 3.9 9.4161434

20.9

15.2 3,614 38,8884.0 2.9 2.75.9 13.4 9.9

0.63 2.0 4.4.. 5,700 144,150.. 217 60,615

1,123 1,399 6650.0 0.9 26.9

1,563 1,497 64495.7 93.4 73.74.3 4.9 16.93.6 3.8 1.5

356 695 3,22799.8 70.0 12.6

88 86 8890 89 8786 81 8393 94 9395 88 4793 80 3496 94 66

71 66 58.. .. 9.. .. 11

16 34 69

17.4 19.2 29.210.6 10.7 9.82.6 4.3 3.3

11.7 12.4 6.00.1 0.4 1.20.0 0.1 0.31.0 0.7 0.71.3 0.9 0.7

–4.8 –1.6 13.8



Country data

Middle East &

N. Africa group


Syrian Arab Republic








800 7,272 528734 5,727 47226.5 64.1 28.3

0.4 0.3 3.7

34 28 38577 3,204 288118 126 133

2.9 38.6 27.60.0 0.0 0.64.1 7.5 10.7

812

5130.7

0.68 5,573 10,725–2.8 –3.1 3.9–9.3 –0.9 4.8

.. 10.4 ..

.. .. 15,120

.. .. 25,817

342 2,831 3650.0 1.9 65.9

1,985 3,859 2292.0 65.4 32.0

98.0 18.0 45.70.5 7.8 0.3

9,774 12,885 5,38174.8 5.0 4.3

92 63 9064 96 6554 91 5792 99 8694 84 3794 80 3295 87 47

30 23 56.. .. .... .. 15

63 23 108

2.6 23.9 25.18.6 12.2 7.73.2 3.6 3.00.4 8.6 1.30.4 0.8 1.20.0 0.0 1.20.5 0.8 0.30.2 0.4 0.4

–4.3 4.8 15.9


Country data

Europe & Central

Asia group

Low-income group


Tajikistan








530 1,176 528456 946 47226.4 37.4 28.3

4.5 4.0 3.7

40 45 38292 322 288106 130 133

37.7 28.0 27.61.1 0.6 0.6

27.5 11.7 10.73542

17429014.8

350 6,190 10,725–0.9 1.8 3.98.7 16.3 4.8

10.0 5.8 ..3,580 18,550 15,1201,287 27,815 25,817

451 689 36587.7 57.3 65.9

86 511 22939.8 65.2 32.060.2 18.2 45.7

0.2 0.8 0.3

1,930 4,635 5,3815.4 2.2 4.389 84 9053 61 6544 49 5779 83 8610 31 377 23 32

20 42 47

20 46 564 .. ..

15 15 1592 121 108

21.1 18.0 25.17.9 10.9 7.72.4 3.6 3.00.3 9.4 1.32.9 1.9 1.20.0 0.5 1.20.2 0.5 0.30.1 0.5 0.4

12.1 –2.1 15.9



Country data


Low-income group

Tanzania








4,150 3,696 5,8843,805 3,264 5,052

34.0 45.9 57.41.7 3.3 2.3

39 49 34706 585 871112 135 131

37.1 29.6 34.60.1 –0.1 0.1

20.1 15.0 13.4574697868.0

3,113 96,136 88,932–1.6 3.5 0.17.7 9.3 9.24.4 1.4 8.5

2,130 137,690 33,3902,484 56,537 48,478

1,504 1,436 1,84819.9 11.8 8.3

2,045 2,095 2,71491.1 80.3 72.64.8 16.2 21.64.2 4.3 5.3

3,268 4,506 8,71813.1 9.9 5.0

90 73 6696 90 9395 84 8697 97 9896 66 7396 57 6295 76 82

53 56 43.. .. .... .. ..

13 24 20

32.3 48.4 35.111.4 10.7 11.64.1 2.2 3.32.2 3.8 4.80.1 1.3 1.30.1 0.0 0.00.8 1.0 0.70.3 1.1 0.7

21.5 32.6 19.1


Country data

East Asia & Pacific

group



Thailand








2,220 3,696 1,619.. 3,264 1,454

28.1 45.9 39.43.6 3.3 2.9

25 49 47.. 585 677

129 135 128

49.9 29.6 27.91.3 –0.1 0.56.1 15.0 9.4

4750

0.6

4.7 96,136 38,888.. 3.5 2.7.. 9.3 9.9

6.7 1.4 4.4.. 137,690 144,150

18.0 56,537 60,615

58 1,436 665.. 11.8 26.9.. 2,095 644.. 80.3 73.7.. 16.2 16.9

0.2 4.3 1.5

7,469 4,506 3,22714.3 9.9 12.6

91 73 8869 90 8760 84 8391 97 9347 66 4737 57 3473 76 66

.. 56 582 .. 9

16 .. 1181 24 69

.. 48.4 29.22.1 10.7 9.83.3 2.2 3.30.0 3.8 6.00.0 1.3 1.2

.. 0.0 0.30.1 1.0 0.7

.. 1.1 0.7

.. 32.6 13.8



Country data

East Asia & Pacific

group


Timor-Leste








490 1,176 528412 946 472

43.4 37.4 28.34.3 4.0 3.7

62 45 38437 322 288114 130 133

5.3 28.0 27.64.3 0.6 0.6

11.3 11.7 10.7115

249

0.3

27.6 6,190 10,7252.8 1.8 3.97.9 16.3 4.80.0 5.8 ..

.. 18,550 15,12010.9 27,815 25,817

445 689 36583.1 57.3 65.9111 511 229

24.6 65.2 32.073.8 18.2 45.7

0.2 0.8 0.3

1,949 4,635 5,3811.2 2.2 4.345 84 9061 61 6540 49 5789 83 8613 31 37

3 23 3226 42 47

28 46 56.. .. .... 15 15

103 121 108

–3.5 18.0 25.18.8 10.9 7.74.4 3.6 3.00.0 9.4 1.31.3 1.9 1.22.1 0.5 1.20.4 0.5 0.30.1 0.5 0.4

–11.5 –2.1 15.9


Country data


Low-income group


Togo








3,290 3,696 1,6193,037 3,264 1,45425.3 45.9 39.4

1.0 3.3 2.9

43 49 473,396 585 677

107 135 128

12.5 29.6 27.90.0 –0.1 0.5

14.5 15.0 9.424

112

1.0

2.2 96,136 38,8881.4 3.5 2.7

.. 9.3 9.99.4 1.4 4.4

1,500 137,690 144,1503.4 56,537 60,615

567 1,436 665.. 11.8 26.9.. 2,095 644.. 80.3 73.7.. 16.2 16.9

1.7 4.3 1.5

.. 4,506 3,227

.. 9.9 12.6

.. 73 88100 90 87100 84 83100 97 93

96 66 4796 57 3498 76 66

.. 56 58

.. .. 9

.. .. 1116 24 69

7.7 48.4 29.210.3 10.7 9.8

3.0 2.2 3.30.0 3.8 6.00.0 1.3 1.20.0 0.0 0.30.4 1.0 0.7

.. 1.1 0.7

.. 32.6 13.8



Country data

East Asia & Pacific

group


Tonga








15,380 38,7457,838 32,47713.9 77.6

3.0 1.0

11 371,024 24,483

107 106

44.1 28.70.3 –0.1

31.2 12.922

241

2.2

13.9 28,5700.6 –1.7

10.2 2.02.8 16.5

<100 81,79065.7 15,495

15,158 4,8560.1 4.2

5,662 9,06499.8 61.6

0.0 11.637.4 11.9

2,874 8,3056.0 9.4

9 4194 10093 9898 10092 10092 9992 100

98 23.. .... ..

27 6

36.4 17.613.4 13.9

4.0 4.632.0 0.7

0.0 0.20.0 0.01.5 0.20.3 0.1

–26.0 7.1


Country data

High-income group


Trinidad and Tobago








4,160 3,874 5,8843,329 3,091 5,052

67.3 58.0 57.42.0 2.5 2.3

63 23 343,050 2,627 871

101 132 131

6.5 2.4 34.6–2.3 –0.1 0.11.3 3.9 13.413

635

60.5

103 3,614 88,9320.5 2.9 0.18.7 13.4 9.21.2 2.0 8.5

.. 5,700 33,390

.. 217 48,478

881 1,399 1,84814.1 0.9 8.3

1,311 1,497 2,71498.9 93.4 72.6

0.5 4.9 21.62.4 3.8 5.3

402 695 8,71861.7 70.0 5.0

76 86 6694 89 9384 81 8699 94 9885 88 7364 80 6296 94 82

23 66 43.. .. .... .. ..

16 34 20

21.4 19.2 35.111.3 10.7 11.66.0 4.3 3.34.1 12.4 4.80.9 0.4 1.30.1 0.1 0.00.5 0.7 0.70.1 0.9 0.7

10.3 –1.6 19.1



Country data

Middle East &

N. Africa group


Tunisia








9,890 7,272 5,8848,753 5,727 5,052

69.6 64.1 57.42.3 0.3 2.3

51 28 343,770 3,204 871

108 126 131

14.7 38.6 34.6–0.8 0.0 0.11.9 7.5 13.4171470

56.2

654 5,573 88,9321.2 –3.1 0.1

18.3 –0.9 9.22.4 10.4 8.5

.. .. 33,390

.. .. 48,478

1,359 2,831 1,8484.8 1.9 8.3

2,298 3,859 2,71480.4 65.4 72.618.5 18.0 21.6

4.0 7.8 5.3

3,160 12,885 8,71818.8 5.0 5.0

74 63 66100 96 9399 91 86

100 99 9890 84 7375 80 6297 87 82

37 23 43.. .. .... .. ..

18 23 20

13.7 23.9 35.112.1 12.2 11.62.6 3.6 3.30.2 8.6 4.80.1 0.8 1.30.0 0.0 0.00.3 0.8 0.70.9 0.4 0.72.7 4.8 19.1


Country data

Europe & Central

Asia group



Turkey








3,790 7,272 1,619.. 5,727 1,454

49.5 64.1 39.42.1 0.3 2.9

69 28 472,156 3,204 677

113 126 128

8.8 38.6 27.90.0 0.0 0.53.0 7.5 9.4

916113

1.8

15.0 5,573 38,888–5.1 –3.1 2.7

–21.9 –0.9 9.9.. 10.4 4.4.. .. 144,150.. .. 60,615

3,933 2,831 6650.0 1.9 26.9

2,446 3,859 644100.0 65.4 73.7

0.0 18.0 16.99.7 7.8 1.5

273 12,885 3,227100.8 5.0 12.6

97 63 8884 96 8772 91 8397 99 9398 84 4797 80 3499 87 66

41 23 58.. .. 9.. .. 11

56 23 69

.. 23.9 29.211.8 12.2 9.8

.. 3.6 3.335.1 8.6 6.00.0 0.8 1.2

.. 0.0 0.32.5 0.8 0.70.8 0.4 0.7

.. 4.8 13.8



Country data

Europe & Central

Asia group


Turkmenistan








.. 38,745

.. 32,47793.3 77.6

7.1 1.0

1 37.. 24,483.. 106

35.8 28.70.0 –0.1

42.9 12.922

172..

5.4 28,5701.9 –1.7

.. 2.00.95 16.5730 81,790236 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.64.4 11.9

.. 8,305

.. 9.4

.. 41100 100100 98100 100

.. 100

.. 9998 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1



Country data

High-income group

Turks and Caicos Islands








4,760 3,696 1,619.. 3,264 1,454

50.4 45.9 39.41.5 3.3 2.9

33 49 472,590 585 677

102 135 128

33.3 29.6 27.90.0 –0.1 0.50.4 15.0 9.4

21

100

0.3

11.3 96,136 38,88816.7 3.5 2.7

.. 9.3 9.90.19 1.4 4.4710 137,690 144,150

0.40 56,537 60,615

.. 1,436 665

.. 11.8 26.9

.. 2,095 644

.. 80.3 73.7

.. 16.2 16.9

.. 4.3 1.5

.. 4,506 3,227

.. 9.9 12.6

.. 73 8898 90 8797 84 8398 97 9385 66 4781 57 3488 76 66

.. 56 58

.. .. 9

.. .. 1133 24 69

.. 48.4 29.26.4 10.7 9.8

.. 2.2 3.30.0 3.8 6.00.0 1.3 1.2

.. 0.0 0.3

.. 1.0 0.7

.. 1.1 0.7

.. 32.6 13.8



Country data

East Asia & Pacific

group


Tuvalu








500 1,176 528438 946 47213.3 37.4 28.3

4.1 4.0 3.7

70 45 38200 322 288105 130 133

15.0 28.0 27.62.3 0.6 0.6

10.3 11.7 10.7222161362.8

509 6,190 10,7252.7 1.8 3.9

45.6 16.3 4.8.. 5.8 .... 18,550 15,120.. 27,815 25,817

.. 689 365

.. 57.3 65.9

.. 511 229

.. 65.2 32.0

.. 18.2 45.70.1 0.8 0.3

1,205 4,635 5,3810.5 2.2 4.336 84 9072 61 6568 49 5795 83 8634 31 3734 23 3234 42 47

11 46 5623 .. ..26 15 1599 121 108

19.1 18.0 25.18.0 10.9 7.73.0 3.6 3.00.0 9.4 1.30.0 1.9 1.24.5 0.5 1.20.2 0.5 0.30.0 0.5 0.49.4 –2.1 15.9


Country data


Low-income group


Uganda








3,000 7,272 1,6192,544 5,727 1,454

68.1 64.1 39.4–0.5 0.3 2.9

71 28 472,500 3,204 677

106 126 128

16.8 38.6 27.9–0.2 0.0 0.53.5 7.5 9.411112116

0.5

209 5,573 38,888–7.4 –3.1 2.7–6.1 –0.9 9.94.9 10.4 4.4

.. .. 144,150

.. .. 60,615

2,507 2,831 6650.8 1.9 26.9

3,200 3,859 64445.2 65.4 73.7

6.8 18.0 16.97.0 7.8 1.5

1,153 12,885 3,22727.6 5.0 12.6

51 63 8898 96 8798 91 8398 99 9394 84 4789 80 3496 87 66

17 23 58.. .. 9.. .. 11

13 23 69

17.5 23.9 29.210.4 12.2 9.85.9 3.6 3.33.7 8.6 6.00.0 0.8 1.20.0 0.0 0.31.7 0.8 0.70.1 0.4 0.77.4 4.8 13.8



Country data

Europe & Central

Asia group


Ukraine








41,930 38,745.. 32,477

78.0 77.67.0 1.0

7 37.. 24,483

113 106

3.8 28.7–1.3 –0.15.6 12.9

79

130

0.2

79.6 28,570–0.9 –1.7

.. 2.02.6 16.5

1,190 81,79068.2 15,495

8,588 4,8560.0 4.2

11,464 9,064100.0 61.6

0.0 11.625.0 11.9

22 8,3052,032.0 9.4

83 41100 100100 98100 100

98 10095 9998 100

62 23.. .... ..7 6

.. 17.613.6 13.9

.. 4.610.9 0.7

0.0 0.2.. 0.0

0.4 0.20.8 0.1

.. 7.1


Country data

High-income group


United Arab Emirates








38,200 38,74531,040 32,477

90.1 77.60.5 1.0

72 3725,681 24,483

101 106

11.9 28.7–0.5 –0.126.4 12.9

52

4311

3.5

814 28,570–1.1 –1.77.2 2.05.7 16.5

.. 81,790

.. 15,495

3,183 4,8562.7 4.2

5,692 9,06474.2 61.61.4 11.68.5 11.9

2,346 8,3058.8 9.410 41

100 100100 98100 100100 100100 99100 100

13 23.. .... ..5 6

11.9 17.613.6 13.9

5.1 4.61.3 0.70.0 0.20.0 0.00.2 0.20.0 0.11.8 7.1



Country data

High-income group

United Kingdom








47,340 38,74540,256 32,477

82.3 77.61.5 1.0

44 3751,120 24,483

109 106

33.2 28.7–0.1 –0.112.4 12.9

3776

183219

94.2

4,865 28,570–1.2 –1.72.3 2.0

28.6 16.51,250 81,7903,030 15,495

7,051 4,8563.9 4.2

12,914 9,06469.5 61.6

6.6 11.618.0 11.9

9,186 8,30515.6 9.4

40 4199 10094 98

100 100100 10099 99

100 100

18 23.. .... ..8 6

10.9 17.614.0 13.94.8 4.60.8 0.70.1 0.20.0 0.00.3 0.20.1 0.10.4 7.1


Country data

High-income group


United States








10,230 7,733 5,8849,746 6,894 5,05292.5 79.3 57.4

0.6 2.0 2.3

85 36 348,682 3,663 871

109 131 131

10.0 47.0 34.6–3.2 0.5 0.10.3 20.2 13.4112436

01.2

74.2 13,464 88,932–1.0 –1.6 0.118.2 11.2 9.20.33 13.1 8.5

.. 15,280 33,390

.. 39,997 48,478

1,224 1,245 1,84826.0 17.0 8.3

2,671 1,892 2,71431.3 37.8 72.659.4 55.5 21.6

2.5 2.8 5.3

17,639 23,323 8,7182.6 1.6 5.087 68 66

100 94 93100 81 86100 98 98100 79 7399 59 62

100 84 82

142 30 43.. .. .... .. ..

11 23 20

17.3 20.9 35.112.6 12.1 11.62.3 4.7 3.30.0 3.8 4.80.1 1.6 1.30.5 0.0 0.00.2 0.3 0.71.8 0.4 0.74.4 7.4 19.1



Country data


group


Uruguay








1,280 7,272 1,619990 5,727 1,45436.9 64.1 39.4

1.2 0.3 2.9

63 28 472,782 3,204 677

123 126 128

7.7 38.6 27.9–0.4 0.0 0.52.3 7.5 9.410157

151.1

10.7 5,573 38,888–0.8 –3.1 2.7–5.8 –0.9 9.9

.. 10.4 4.4

.. .. 144,150

.. .. 60,615

1,758 2,831 6650.0 1.9 26.9

1,636 3,859 64481.3 65.4 73.718.7 18.0 16.94.6 7.8 1.5

588 12,885 3,227118.3 5.0 12.6

91 63 8887 96 8781 91 8398 99 93

100 84 47100 80 34100 87 66

37 23 58.. .. 9.. .. 11

52 23 69

.. 23.9 29.29.2 12.2 9.89.4 3.6 3.3

13.7 8.6 6.05.5 0.8 1.20.0 0.0 0.32.9 0.8 0.70.4 0.4 0.7

.. 4.8 13.8


Country data

Europe & Central

Asia group



Uzbekistan








2,640 3,696 1,6192,529 3,264 1,454

25.6 45.9 39.44.0 3.3 2.9

15 49 471,959 585 677

101 135 128

36.1 29.6 27.90.0 –0.1 0.54.3 15.0 9.4

88

158

2.1

97.9 96,136 38,8884.3 3.5 2.7

.. 9.3 9.90.05 1.4 4.4

4,110 137,690 144,15020.5 56,537 60,615

157 1,436 665.. 11.8 26.9.. 2,095 644.. 80.3 73.7.. 16.2 16.9

0.4 4.3 1.5

.. 4,506 3,227

.. 9.9 12.6

.. 73 8890 90 8787 84 8398 97 9357 66 4754 57 3464 76 66

14 56 58.. .. 9.. .. 11

14 24 69

19.6 48.4 29.210.5 10.7 9.85.2 2.2 3.30.0 3.8 6.00.0 1.3 1.20.0 0.0 0.30.1 1.0 0.70.0 1.1 0.7

15.1 32.6 13.8


Population (thousands) 240 Land area (1,000 sq. km) 12 GDP ($ millions) 698.8

Country data

East Asia & Pacific

group


Vanuatu








11,590 7,733 5,88410,142 6,894 5,052

94.0 79.3 57.42.4 2.0 2.3

24 36 347,667 3,663 871

106 131 131

52.5 47.0 34.60.6 0.5 0.1

53.8 20.2 13.432273768

25.3

293 13,464 88,932–1.0 –1.6 0.118.3 11.2 9.215.3 13.1 8.5480 15,280 33,390

3,569 39,997 48,478

2,357 1,245 1,8480.8 17.0 8.3

3,152 1,892 2,71427.2 37.8 72.672.8 55.5 21.6

6.1 2.8 5.3

25,451 23,323 8,7180.7 1.6 5.044 68 6692 94 9375 81 8694 98 9891 79 7357 59 6294 84 82

9 30 43.. .. .... .. ..

18 23 20

31.7 20.9 35.112.4 12.1 11.6

3.6 4.7 3.312.0 3.8 4.8

0.4 1.6 1.30.0 0.0 0.00.3 0.3 0.70.0 0.4 0.7

10.1 7.4 19.1


Country data


group



Venezuela, RB








1,160 3,696 1,619952 3,264 1,454

28.8 45.9 39.43.1 3.3 2.9

33 49 47367 585 677114 135 128

44.5 29.6 27.9–2.0 –0.1 0.56.2 15.0 9.4544368

11912.1

5,128 96,136 38,8885.8 3.5 2.7

15.1 9.3 9.91.7 1.4 4.4

1,270 137,690 144,1501,056 56,537 60,615

745 1,436 66539.3 11.8 26.9918 2,095 644

64.0 80.3 73.736.0 16.2 16.9

1.5 4.3 1.5

4,178 4,506 3,2279.3 9.9 12.695 73 8895 90 8793 84 8399 97 9376 66 4768 57 3494 76 66

50 56 58.. .. 9.. .. 11

23 24 69

33.2 48.4 29.29.4 10.7 9.82.8 2.2 3.39.0 3.8 6.00.2 1.3 1.20.2 0.0 0.31.0 1.0 0.70.5 1.1 0.7

15.8 32.6 13.8



Country data

East Asia & Pacific

group


Vietnam








.. 38,745

.. 32,47795.3 77.6

0.7 1.0

11 37.. 24,483

108 106

57.1 28.70.9 –0.1

15.2 12.921

1412

0.2

0.86 28,5701.1 –1.7

.. 2.00.64 16.5200 81,7902.6 15,495

.. 4,856

.. 4.2

.. 9,064

.. 61.6

.. 11.6

.. 11.9

.. 8,305

.. 9.4

.. 41

.. 100

.. 98

.. 100

.. 100

.. 99

.. 100

.. 23

.. ..

.. ..

.. 6

.. 17.6

.. 13.9

.. 4.6

.. 0.7

.. 0.2

.. 0.0

.. 0.2

.. 0.1

.. 7.1


Country data

High-income group


Virgin Islands (U.S.)








1,250 3,874 1,619.. 3,091 1,454

72.1 58.0 39.44.0 2.5 2.9

61 23 47.. 2,627 677

101 132 128

1.5 2.4 27.90.0 –0.1 0.50.6 3.9 9.4

3900..

.. 3,614 38,888

.. 2.9 2.7

.. 13.4 9.9

.. 2.0 4.4

.. 5,700 144,150

.. 217 60,615

.. 1,399 665

.. 0.9 26.9

.. 1,497 644

.. 93.4 73.7

.. 4.9 16.90.5 3.8 1.5

201 695 3,22749.9 70.0 12.6

45 86 8885 89 8781 81 8386 94 9392 88 4792 80 3492 94 66

.. 66 58

.. .. 9

.. .. 1122 34 69

9.7 19.2 29.28.1 10.7 9.8

.. 4.3 3.30.0 12.4 6.00.0 0.4 1.2

.. 0.1 0.30.4 0.7 0.7

.. 0.9 0.7

.. –1.6 13.8



Country data

Middle East &

N. Africa group


West Bank and Gaza








1,170 3,874 1,619928 3,091 1,45431.8 58.0 39.45.6 2.5 2.9

44 23 47749 2,627 677126 132 128

1.0 2.4 27.90.0 –0.1 0.50.5 3.9 9.4

91523

1583.2

191 3,614 38,8884.6 2.9 2.7

.. 13.4 9.91.8 2.0 4.4

700 5,700 144,1509.3 217 60,615

324 1,399 6651.3 0.9 26.9219 1,497 644

100.0 93.4 73.70.0 4.9 16.91.0 3.8 1.5

90 695 3,227168.6 70.0 12.6

91 86 8855 89 8747 81 8372 94 9353 88 4734 80 3493 94 66

43 66 58.. .. 9.. .. 11

77 34 69

9.6 19.2 29.29.7 10.7 9.84.2 4.3 3.3

14.5 12.4 6.00.0 0.4 1.20.0 0.1 0.30.6 0.7 0.70.4 0.9 0.7

–11.5 –1.6 13.8


Country data

Middle East &

N. Africa group



Yemen, Rep.








1,070 1,176 1,619784 946 1,45435.7 37.4 39.42.0 4.0 2.9

31 45 47214 322 677115 130 128

66.5 28.0 27.90.3 0.6 0.5

36.0 11.7 9.49

1420

93.8

86.7 6,190 38,8880.8 1.8 2.7

10.3 16.3 9.9.. 5.8 4.4.. 18,550 144,150.. 27,815 60,615

617 689 66580.9 57.3 26.9635 511 6440.3 65.2 73.7

99.7 18.2 16.90.2 0.8 1.5

6,303 4,635 3,2271.7 2.2 12.676 84 8861 61 8746 49 8387 83 9348 31 4743 23 3457 42 66

30 46 585 .. 9

16 15 11111 121 69

25.4 18.0 29.210.3 10.9 9.81.3 3.6 3.30.0 9.4 6.0

18.9 1.9 1.20.0 0.5 0.30.1 0.5 0.70.3 0.5 0.7

–2.8 –2.1 13.8



Country data



Zambia








460 1,176 528493 946 472

38.3 37.4 28.32.3 4.0 3.7

42 45 38160 322 28892 130 133

40.4 28.0 27.61.7 0.6 0.6

28.0 11.7 10.79

143

141.9

13.2 6,190 10,725–4.4 1.8 3.915.3 16.3 4.8

.. 5.8 ..

.. 18,550 15,120

.. 27,815 25,817

763 689 36565.6 57.3 65.9

1,026 511 22946.7 65.2 32.053.3 18.2 45.7

0.7 0.8 0.3

983 4,635 5,38121.0 2.2 4.3

79 84 9080 61 6569 49 5798 83 8640 31 3732 23 3252 42 47

37 46 5611 .. ..12 15 1580 121 108

.. 18.0 25.18.6 10.9 7.72.5 3.6 3.01.9 9.4 1.30.8 1.9 1.20.0 0.5 1.21.0 0.5 0.30.2 0.5 0.4

.. –2.1 15.9


Country data


Low-income group


Zimbabwe


Access to improved sanitation is the percentage of population with adequate

access to excreta disposal facilities (private or shared, but not public) that

can effectively prevent human, animal, and insect contact with excreta.

Improved facilities range from simple but protected pit latrines to flush toi-

lets with a sewerage connection. To be effective, facilities must be correctly

constructed and properly maintained. (World Health Organization; data are

for 2010)

Access to improved water source is the percentage of the population with

reasonable access to an adequate amount of water from an improved source,

such as piped water into a dwelling, plot, or yard; public tap or standpipe;

tube-well or borehole; protected dug well or spring; or rainwater collection.

Unimproved sources include an unprotected dug well or spring, cart with

small tank or drum, bottled water, and tanker trucks. Reasonable access to

an adequate amount means the availability of at least 20 liters a person a day

from a source within 1 kilometer of the dwelling. (World Health Organization;

data are for 2010)

Acute respiratory infection prevalence is the percentage of children under

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

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

during 2005–10)

Adjusted net national income equals gross national income minus consump-

tion of fixed capital, energy depletion, mineral depletion, and net forest

depletion. (World Bank; data are for 2010)

Adjusted net savings equal gross savings minus consumption of fixed capital,

plus education expenditures, minus energy depletion, mineral depletion,

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

(World Bank; data are for 2010)

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

pastures. Arable land includes land defined by the Food and Agriculture

Organization of the United Nations as land under temporary crops (double-

cropped areas are counted once), temporary meadows for mowing or for

pasture, land under market or kitchen gardens, and land temporarily fal-

low. Land abandoned as a result of shifting cultivation is excluded. Land

under permanent crops is land cultivated with crops that occupy the land for

long periods and need not be replanted after each harvest, such as cocoa,

coffee, and rubber. This category includes land under flowering shrubs, fruit

trees, nut trees, and vines but excludes land under trees grown for wood

or timber. Permanent pasture is land used for five or more years for forage,

including natural and cultivated crops. (Food and Agriculture Organization;

data are for 2009)

Agricultural productivity is the ratio of agricultural value added, measured

in 2000 U.S. dollars, to the number of workers in agriculture. Agricultural

productivity is measured by value added per unit of input. Agricultural value

added includes that from forestry and fishing. Thus interpretations of land

productivity should be made with caution. (See World Bank 2012 for details;

data are for 2010)

Glossary


Aquaculture growth is the exponential change in aquaculture fisheries pro-

duction for the period indicated. Aquaculture is understood to mean the farm-

ing of aquatic organisms including fish, molluscs, crustaceans and aquatic

plants. Aquaculture production specifically refers to output from aquaculture

activities, which are designated for final harvest for consumption. (Food and

Agriculture Organization; data are for 1990–2010)

Capture fisheries growth is the exponential change in capture fisheries

production for the period indicated. Capture fisheries production contains

the volume of fish catches landed by a country for all commercial, industrial,

recreational and subsistence purpose. (Food and Agriculture Organization;

data are for 1990–2010)

Carbon dioxide (CO2) damage is estimated at $20 per ton of carbon (the unit

damage in 1995 U.S. dollars) times the number of tons of carbon emitted.

(World Bank estimates; data are for 2010)

Carbon dioxide (CO2) emissions per capita are carbon dioxide emissions

divided by midyear population. (Carbon Dioxide Information Analysis Center,

World Bank, and United Nations; data are for 2008)

Consumption of fixed capital is the replacement value of capital used up in

the process of production. (United Nations; data are extrapolated to 2010

from the most recent year available)

Coral reef area is a country’s area of coral reefs, which are shallow marine

habitats defined both by a physical structure (corals) and by the organisms

found on them. (See The World Atlas of Coral Reefs (2001), UNEP-World

Conservation Monitoring Centre)

Deforestation is the permanent conversion of natural forest area to other

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

ments, and infrastructure development. Deforested areas do not include

areas logged but intended for regeneration or areas degraded by fuel-wood

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

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

1990–2010)

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

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

data are for the most recent year available during 2005–10)

Education expenditure is public current operating expenditures in education,

including wages and salaries and excluding capital investments in buildings

and equipment. (United Nations; data are extrapolated to 2010 from the

most recent year available)

Electric power consumption per capita is the production of power plants

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

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

Glossary

Glossary


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

data are for 2009)

Electricity generated by hydropower is use of hydropower as a percentage

of total inputs to the generation of electricity. (International Energy Agency;

data are for 2009)

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

centage of total inputs to the generation of electricity. (International Energy

Agency; data are for 2009)

Energy depletion is the ratio of the value of the stock of energy resources

to the remaining reserve lifetime (capped at 25 years). It covers crude oil,

natural gas, and coal. (See World Bank 2011 for details; data are for 2010)

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

liquid biomass, biogas, industrial waste, and municipal waste as a percent-

age of total energy use. (International Energy Agency; data are for 2009)

Energy use per capita refers to apparent consumption, which is equal to

indigenous production plus imports and stock changes, minus exports and

fuels supplied to ships and aircraft engaged in international transport.

(International Energy Agency; data are for 2009)

Fisheries production, total, contains the volume of aquatic species caught

by a country for all commercial, industrial, recreational and subsistence pur-

poses. The harvest from mariculture, aquaculture and other kinds of fish farm-

ing is also included. (Food and Agriculture Organization; data are for 2010)

Food production index indicates the relative level of net food production

compared with the base period 2004–06. It covers food crops that are

considered edible and that contain nutrients. Coffee and tea are excluded

because, although edible, they have no nutritive value. (See the Food and

Agriculture Organization’s Production Yearbook for details; data are for 2009)

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

tive or not. (Food and Agriculture Organization; data are for 2010)

Freshwater withdrawal, agriculture, is withdrawals for irrigation and live-

stock production as a percentage of total freshwater withdrawal. (Food and

Agriculture Organization; data are for various years; for details see World

Development Indicators 2012, 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; data are for various years; for

details see World Development Indicators 2012, 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 2010)

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

sity potential for each country developed by the Global Environment Facility,

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

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

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

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

rent U.S. dollars, converted using the World Bank Atlas method (see World

Development Indicators 2012, Statistical methods). (World Bank, Organization

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

for 2010)

Gross savings are calculated as gross national income less total con-

sumption, plus net transfers. (World Bank and Organization for Economic

Co-operation and Development; data are for 2010)

Internal freshwater resources per capita are internal renewable resources,

which include flows of rivers and groundwater from rainfall in the country

but excludes river flows from other countries, divided by midyear population.

(Food and Agriculture Organization; data are for various years; for details see

World Development Indicators 2012, Primary data documentation.)

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 2010)

Mangroves area is a country’s total area of mangroves, which are plants

of a variety of different species, including trees, shrubs, palms and ferns,

that grow in the tropics and subtropics in saline inter-tidal coastal habitats,

such as estuaries and shorelines. (See The World Atlas of Mangroves (2010),

International Society for Mangrove Ecosystems, The Nature Conservancy,

Food and Agriculture Organization, UNEP-World Conservation Monitoring

Centre)

Marine protected areas are areas of intertidal or subtidal terrain—and

overlying water and associated flora and fauna and historical and cultural

features—that have been reserved by law or other effective means to protect

Glossary

Glossary


part or all of the enclosed environment. (United Nations Environmental

Program and the World Conservation Monitoring Centre, as compiled by the

World Resources Institute; data are for 2010)

Mineral depletion is the ratio of the value of the stock of mineral resources

to the remaining reserve lifetime (capped at 25 years). It covers bauxite,

copper, iron, lead, nickel, phosphate, tin, gold, silver, and zinc. (See World

Bank 2011 for details; data are for 2010)

Nationally protected terrestrial areas are totally or partially protected areas

of at least 1,000 hectares that are designated as national parks, natural

monuments, nature reserves or wildlife sanctuaries; protected landscapes

and seascapes; and scientific reserves. It includes World Conservation

Union–protected area categories I–VI. (United Nations Environmental

Program and the World Conservation Monitoring Centre, as compiled by the

World Resources Institute; data are for 2010)

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

of round-wood harvest over natural growth. If growth exceeds harvest, this

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

of natural growth; data are for 2010)

Particulate emissions damage is calculated as the willingness to pay to

reduce the risk of illness and death attributable to particulate emissions.

(World Bank estimates; data are for 2010)

Particulate matter is fine suspended particulates of less than 10 microns

in diameter that are capable of penetrating deep into the respiratory tract

and causing damage. The indicator is the population-weighted average of all

cities in the country with a population greater than 100,000. (World Bank

estimates; data are for 2010)

Population includes all residents who are present regardless of legal status

or citizenship except for refugees not permanently settled in the country of

asylum, who are generally considered part of the population of their country

of origin. (Eurostat, United Nations Population Division, and World Bank; data

are midyear estimates for 2010)

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 2011)

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

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

endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently

known. (World Conservation Monitoring Centre and IUCN; data are for 2011)

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 2011)

Glossary


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 2011)

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 2010)

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

defined as urban in each country (United Nations; data are for 2010)

Urban population growth is the exponential change in urban population for

the period indicated. (United Nations; data are for 1990–2010)


FAO. 2010a. "From Drain to Gain in Capture Fisheries Rents: A Synthesis

Study." FAO Fisheries and Aquaculture Technical Paper No. 538. FAO, Rome.

______. 2010b. The State of World Fisheries and Aquaculture. Rome: FAO.

Spalding, M., E. Green, and C. Ravilious. 2001. World Atlas of Coral Reefs.

Berkeley, CA: University of California Press.

Spalding, M., M. Kainuma, and L. Lorna. 2010. World Atlas of Mangroves.

London: Earthscan.

Sumaila, U. R., et al. 2012. “Marine Fisheries as a Source of Sustainable

Wealth of Nations.” Working paper presented at 2012 AAAS Annual

Meeting, February 2012.

UNEP. 2006. Marine and Coastal Ecosystems and Human Wellbeing: A

Synthesis Report Based on the Findings of the Millennium Ecosystem

Assessment. Nairobi, Kenya: UNEP.

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

Development in the New Millennium. Washington, DC: World Bank.

______ 2012. World Development Indicators 2012. Washington, DC: World

Bank.

References

AFGHANISTAN ALBANIA ALGERIA AMERICAN SAMOA ANDORRA ANGOLA ANTIGUA AND BARBUDAARGENTINA ARMENIA ARUBA AUSTRALIA AUSTRIA AZERBAIJAN THE BAHAMAS BAHRAINBANGLADESH BARBADOS BELARUS BELGIUM BELIZE BENIN BERMUDA BHUTAN BOLIVIA BOSNIAAND HERZEGOVINA BOTSWANA BRAZIL BRUNEI DARUSSALAM BULGARIA BURKINA FASOBURUNDI CAMBODIA CAMEROON CANADA CAPE VERDE CAYMAN ISLANDS CENTRAL AFRICANREPUBLIC CHAD CHANNEL ISLANDS CHILE CHINA COLOMBIA COMOROS DEMOCRATIC REPUBLICOF CONGO REPUBLIC OF CONGO COSTA RICA CÔTE D’IVOIRE CROATIA CUBA CURACAO CYPRUSCZECH REPUBLIC DENMARK DJIBOUTI DOMINICA DOMINICAN REPUBLIC ECUADOR ARABREPUBLIC OF EGYPT EL SALVADOR EQUATORIAL GUINEA ERITREA ESTONIA ETHIOPIA FAEROEISLANDS FIJI FINLAND FRANCE FRENCH POLYNESIA GABON THE GAMBIA GEORGIA GERMANYGHANA GIBRALTAR GREECE GREENLAND GRENADA GUAM GUATEMALA GUINEA GUINEA-BISSAUGUYANA HAITI HONDURAS HONG KONG SAR, CHINA HUNGARY ICELAND INDIA INDONESIAISLAMIC REPUBLIC OF IRAN IRAQ IRELAND ISLE OF MAN ISRAEL ITALY JAMAICA JAPANJORDAN KAZAKHSTAN KENYA KIRIBATI DEMOCRATIC PEOPLE’S REPUBLIC OF KOREA REPUBLICOF KOREA KOSOVO KUWAIT KYRGYZ REPUBLIC LAO PEOPLE’S DEMOCRATIC REPUBLIC LATVIALEBANON LESOTHO LIBERIA LIBYA LIECHTENSTEIN LITHUANIA LUXEMBOURG MACAO SAR, CHINAFORMER YUGOSLAV REPUBLIC OF MACEDONIA MADAGASCAR MALAWI MALAYSIA MALDIVESMALI MALTA MARSHALL ISLANDS MAURITANIA MAURITIUS MAYOTTE MEXICO FEDERATEDSTATES OF MICRONESIA MOLDOVA MONACO MONGOLIA MONTENEGRO MOROCCO MOZAMBIQUEMYANMAR NAMIBIA NEPAL NETHERLANDS NEW CALEDONIA NEW ZEALAND NICARAGUA NIGERNIGERIA NORTHERN MARIANA ISLANDS NORWAY OMAN PAKISTAN PALAU PANAMA PAPUANEW GUINEA PARAGUAY PERU PHILIPPINES POLAND PORTUGAL PUERTO RICO QATAR ROMANIARUSSIAN FEDERATION RWANDA SAMOA SAN MARINO SÃO TOMÉ AND PRÍNCIPE SAUDIARABIA SENEGAL SERBIA SEYCHELLES SIERRA LEONE SINGAPORE SINT MAARTEN SLOVAKREPUBLIC SLOVENIA SOLOMON ISLANDS SOMALIA SOUTH AFRICA SOUTH SUDAN SPAIN SRILANKA ST. KITTS AND NEVIS ST. LUCIA ST. MARTIN ST. VINCENT AND GRENADINES SUDANSURINAME SWAZILAND SWEDEN SWITZERLAND SYRIAN ARAB REPUBLIC TAJIKISTAN TANZANIATHAILAND TIMOR-LESTE TOGO TONGA TRINIDAD AND TOBAGO TUNISIA TURKEY TURKMENISTANTURKS AND CAICOS UGANDA UKRAINE UNITED ARAB EMIRATES UNITED KINGDOM UNITEDSTATES URUGUAY UZBEKISTAN VANUATU REPÚBLICA BOLIVARIANA DE VENEZUELA VIETNAMU.S. VIRGIN ISLANDS WEST BANK AND GAZA REPUBLIC OF YEMEN ZAMBIA ZIMBABWE

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The Little Green Data Book 2012 - ISBN: 9780821389935

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