the little green data book 2015

2015 THE LITTLE GREENDATA BOOK

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iiiThe Little Green Data Book 2015

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

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

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

Regional tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

World . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

East Asia and Pacific . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Europe and Central Asia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

Latin America and the Caribbean . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Middle East and North Africa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

South Asia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Sub-Saharan Africa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

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

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

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

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

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

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

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

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

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

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

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

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

Contents

iv 2015 The Little Green Data Book

The Little Green Data Book 2015 is based on World Development Indicators

2015 and its online database. Defining, gathering, and disseminating international statistics is a collective effort of many people and organizations. The indicators presented in World Development Indicators are the fruit of decades of work at many levels, from the field workers who administer censuses and household surveys to the committees and working parties of the national and international statistical agencies that develop the nomenclature, classifications, and standards fundamental to the international statistical system. Nongovernmental organizations have also made important contributions. We are indebted to the World Development Indicators partners, as detailed in World Development Indicators 2015.

The Little Green Data Book 2015 is the result of close collaboration between the staff of the Development Data Group of the Development Economics Vice Presidency and the Environment and Natural Resources Global Practice. Liu Cui, Mahyar Eshragh-Tabary, Sonu Jain, Esther Naikal, William Prince, Christopher Sall, and Jomo Tariku contributed to its preparation. Azita Amjadi coordinated the production of the book. Barton Matheson Willse & Worthington typeset the book. The work was carried out under the direction of Haishan Fu and Paula Caballero. Staff from The World Bank’s Publishing and Knowledge Division oversaw publication and dissemination of the book.

Acknowledgments

vThe Little Green Data Book 2015

ForewordWelcome to The Little Green Data Book 2015. For 15 years, we have been

taking the pulse of development and the environment using more than 50

indicators for more than 200 countries. We strive to update and improve the

indicators provided in The Little Green Data Book, so that it continues to be a

relevant knowledge resource that aids policy makers in using environmental

data more effectively to support priority-setting and improve development

outcomes. This year the Sustainable Development Goals (SDGs) are expected

to replace the Millennium Development Goals (MDGs), placing more emphasis

on monitoring the environment. The increasing importance of environmental

statistics highlights the need to invest in improving environmental data.

In partnership with the Institute for Health Metrics and Evaluation (IHME),

this year’s edition includes two new indicators on ambient air pollution in

both urban and rural areas, measured by particulate matter less than 2.5

microns in diameter (PM2.5). Exposure to PM2.5 pollution poses serious

health risks, as the very fine particulates are capable of penetrating deep

into the respiratory tract and causing severe health damage. The two new

indicators included in The Little Green Data Book 2015 are mean annual

exposure to PM2.5 pollution and percent of total population exposed to PM2.5

pollution above World Health Organization’s (WHO) guideline values. Data

on air pollution exposure and associated health impacts are published in

the Global Burden of Disease Study 2010, an international scientific effort

led by IHME at the University of Washington.

These data show that in many parts of the world, exposure to air pollution

is increasing at an alarming rate and has become the main environmental

threat to health. In 2010, almost 84 percent of the world’s population lived

in areas where ambient concentrations of PM2.5 exceeded the WHO’s Air

Quality Guideline of 10 μg/cu. m (annual average). Exposure to ambient

PM2.5 pollution in 2010 resulted in more than 3.2 million premature deaths

globally (Lim et al. 2012).

Average exposure to air pollution has worsened since 1990 for the East

Asia and Pacific and the South Asia regions and remained the same for

Sub-Saharan Africa. In contrast, conditions have improved significantly

for Europe and Central Asia, and marginally for the Latin America and the

Caribbean and the Middle East and North Africa regions. Globally, population-

weighted exposure to PM2.5 increased by as much as 10 percent between

1990 and 2010.

This year the adjusted net saving (ANS) indicator has also been updated to

feature a more extensive accounting of the economic costs of air pollution.

In previous years, the scope of pollution damages was limited to exposure

to outdoor PM10 pollution in urban areas with more than 100,000 people.

Using data from the Global Burden of Disease Study, the measure of pollution

damages in this year’s ANS now encompasses exposure to the more harmful

PM2.5 particulates in both urban and rural areas, including household air

pollution from cooking with solid fuels.

vi 2015 The Little Green Data Book

Foreword

Apart from the human toll, pollution represents a cost to the economy and

a risk to sustainability. Health impacts (i.e., death and disability from air

pollution) are now monetized as productivity losses during working age

following a human capital approach, which is a departure from the welfare

loss methodology used in previous years. While these costs represent only

a part of the total welfare losses from air pollution, they are more amenable

to the standard national accounting framework. As the new ANS data show,

productivity losses in the global labor force due to death and disability from

air pollution totaled more than US$161 billion in 2010, including US$89

billion in low and middle income countries.

With the methodology updated to reflect the latest findings in the academic

literature, these new country-level estimates on the economic cost of air

pollution help make a business case for why countries need to invest in

air quality management.

Ambient PM2.5 pollution, population-weighted exposure

World

0 10 20

microgram per cubic meter

30 40 50 60

Latin America & Caribbean

Europe & Central Asia

High income

Sub-Saharan Africa

Middle East & North Africa

South Asia

East Asia & Pacific

19902010

Source: World Development Indicators 2015.

viiThe Little Green Data Book 2015

ForewordThe Little Green Data Book is a result of close collaboration between the

Development Data Group of the Development Economics Vice Presidency

and the Environment and Natural Resources Global Practice. We welcome

suggestions on how to improve future editions and make them even more

useful.

Paula Caballero Haishan Fu

Senior Director Director

Environment and Natural Development Data Group

Resources Global Practice

viii 2015 The Little Green Data Book

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

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

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

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

Symbols used:

.. indicates that data are not available or that aggregates cannot be calculated because of missing data.

0 or 0.0 indicates zero or small enough that the number would round to zero at the displayed number of decimal places.

$ indicates current U.S. dollars.

Lettered notes on country tables can be found in the Notes on page 232. 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 2015 family of products.

The cutoff date for data is May 1, 2015.

Data notes

1The Little Green Data Book 2015

Regional tablesThe country composition of regions is based on the World Bank’s analytical regions and may differ from common geographic usage.

East Asia and Pacific

American Samoa, Cambodia, China, Fiji, Indonesia, Kiribati, Democratic People’s Republic of Korea, Lao People’s Democratic Republic, Malaysia, Marshall Islands, Federated States of Micronesia, Mongolia, Myanmar, Palau, Papua New Guinea, Philippines, Samoa, Solomon Islands, Thailand, Timor-Leste, Tonga, Tuvalu, Vanuatu, Vietnam

Europe and Central Asia

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Georgia, Hungary, Kazakhstan, Kosovo, Kyrgyz Republic, Former Yugoslav Republic of Macedonia, Moldova, Montenegro, Romania, Serbia, Tajikistan, Turkey, Turkmenistan, Ukraine, Uzbekistan

Latin America and the Caribbean

Argentina, Belize, Bolivia, Brazil, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, St. Lucia, St. Vincent and the Grenadines, Suriname, 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, Cabo Verde, Cameroon, 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, 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) AgricultureAgricultural land (% land area)Agricultural irrigated land (% of total agricultural land)Agricultural productivity, value added per worker (2005 $)Cereal yield (kg per hectare) Forests and biodiversityForest area (% land area)Deforestation (avg. annual %, 2000–2011)Terrestrial protected areas (% of total land area)Threatened species, mammalsThreatened species, birdsThreatened species, fishThreatened species, higher plants OceansTotal fisheries production (thousand metric tons) Capture fisheries growth (avg. annual %, 1990–2013) Aquaculture growth (avg. annual %, 1990–2013)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 healthPM2.5 pollution, mean annual exposure (μg/cu. m)PM2.5 exposure (% pop. exceeding WHO guideline level)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)Air pollution damage (% of GNI)Adjusted net savings (% of GNI)

10,6838,686

53.0

38..

1,1933,851

31.00.1

14.33,2463,6256,870

13,583

191,0630.47.9

12.2284,300150,398

1,8909.8

3,04567.015.6

4.9

6,0559.171898296644679

3184

..

..46

25.415.2

4.32.00.50.10.50.2

11.1

2 2015 The Little Green Data Book

WorldPopulation (millions) 7,125.1 Land area (1,000 sq. km) 129,734 GDP ($ billions) 75,621.9


5,5364,520

50.9

48..

8225,184

29.7–0.415.1

115,6053.49.12.2

137,69056,537

1,67110.1

2,58280.914.5

4.9

4,37610.9

73918597675876

5592

..

..20

47.916.6

2.22.21.20.11.10.4

28.4


East Asia & PacificPopulation (millions) 2,005.8 Land area (1,000 sq. km) 15,914 GDP ($ billions) 11,413.7


7,1146,243

60.1

66..

5,0703,136

10.5–0.55.1

1,036–3.92.0

..

..

..

2,0802.9

2,95465.817.9

5.3

2,71031.6

67958999949097

1791

..

..23

18.68.93.63.60.70.00.80.67.5


Europe & Central AsiaPopulation (millions) 272.4 Land area (1,000 sq. km) 6,337 GDP ($ billions) 2,001.2


9,5427,878

79.0

38..

4,5764,161

48.20.5

21.4

11,967–0.110.014.3

14,86039,988

1,29216.0

1,98537.355.1

2.7

22,1242.271948297816286

833

..

..18

17.311.2

5.13.80.90.40.30.15.7


Latin America & CaribbeanPopulation (millions) 588.0 Land area (1,000 sq. km) 19,096 GDP ($ billions) 5,657.4


3,4562,654

60.1

23....

2,561

2.4–0.16.1

4,1593.0

12.62.7

5,700217

1,3760.9

1,69691.7

5.53.9

656121.9

86908395888093

28100

..

..26

27.910.0

4.112.4

0.40.20.90.48.1


Middle East & North AfricaPopulation (millions) 345.4 Land area (1,000 sq. km) 8,641 GDP ($ billions) 1,495.7


1,4831,246

32.2

55..

6853,045

17.2–0.36.1

13,9512.47.62.4

15,44010,343

55526.760577.913.8

1.4

1,18651.6

91918995403061

32100

..

..57

30.69.12.81.50.41.21.21.2

19.0


South AsiaPopulation (millions) 1,670.8 Land area (1,000 sq. km) 4,772 GDP ($ billions) 2,368.3


1,6861,382

36.7

44..

6731,433

27.70.5

16.4

6,6521.8

15.6..

17,98027,808

68157.653565.120.0

0.8

4,1203.081645385302341

1772

51492

23.88.63.65.71.61.90.51.16.7


Sub-Saharan AfricaPopulation (millions) 936.3 Land area (1,000 sq. km) 23,590 GDP ($ billions) 1,643.4


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 $1,045 or less in 2013.

Middle-income economies are those with a GNI per capita of more than $1,045 but less than $12,746. Lower-middle-income and upper-middle-income economies are separated at a GNI per capita of $4,125.

High-income economies are those with a GNI per capita of $12,746 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, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Portugal, Slovak Republic, Slovenia, and Spain.

Income group tables


72863730.0

39..

3322,158

27.50.6

13.8

12,3513.95.2

..15,12025,817

35966.021930.945.5

0.3

4,8754.290696187373346

1978

61476

23.17.53.11.11.54.50.31.69.2


Low incomePopulation (millions) 848.7 Land area (1,000 sq. km) 14,858 GDP ($ billions) 629.6


4,7543,899

50.0

44..

1,0583,738

28.50.1

14.8

141,0191.99.28.2

176,550109,077

1,28013.5

1,81674.119.3

3.4

4,92011.1

80908596604576

3787

..

..43

35.313.3

3.23.41.00.30.90.5

19.2


Middle incomePopulation (millions) 4,970.0 Land area (1,000 sq. km) 63,491 GDP ($ billions) 23,940.0


2,0741,768

38.8

46..

9323,079

27.00.3

11.9

47,2302.5

10.311.3

124,48058,917

68626.873672.316.9

1.6

3,04719.3

88888494473666

2792

..

..59

28.88.23.22.90.80.80.90.9

17.5


Lower middle incomePopulation (millions) 2,561.1 Land area (1,000 sq. km) 20,785 GDP ($ billions) 5,232.6


7,6046,164

61.8

44..

1,1604,391

29.10.0

16.1

93,7891.68.98.5

52,07050,160

1,8938.5

2,93274.720.0

5.4

6,9107.370938598746282

4781

..

..20

36.814.7

3.23.61.10.20.90.3

19.4


Upper middle incomePopulation (millions) 2,408.9 Land area (1,000 sq. km) 42,705 GDP ($ billions) 18,702.8


4,1683,423

47.1

43..

9383,466

28.30.2

14.6

153,3702.29.07.9

191,670134,894

1,17915.3

1,64673.119.8

3.0

4,91310.1

80878095574373

3486

..

..50

35.113.1

3.23.41.00.40.80.5

19.0


Low and middle incomePopulation (millions) 5,818.7 Land area (1,000 sq. km) 78,349 GDP ($ billions) 24,576.8


39,81232,117

80.0

29..

18,4974,953

34.90.0

13.9

37,398–1.92.4

17.082,21015,504

4,8774.3

8,90661.812.211.6

11,2697.2439998

100969397

1776

..

..6

21.316.3

4.81.40.20.00.30.27.7


High incomePopulation (millions) 1,306.4 Land area (1,000 sq. km) 51,385 GDP ($ billions) 51,091.0


39,35032,257

75.5

45..

37,7935,855

37.9–0.327.3

4,242–1.70.2

31.8....

3,4857.7

6,59946.6

9.17.4

2,99118.8

32100100100100100100

1690

..

..4

22.017.8

4.90.10.00.00.20.18.7


Euro areaPopulation (millions) 337.3 Land area (1,000 sq. km) 2,676 GDP ($ billions)13,194.0


China

Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China.

Cyprus

GNI and GDP data and data calculated using GNI and GDP refer to the area controlled by the government of Cyprus.

Georgia

GNI, GDP, and population data and data calculated using GNI, GDP, and population exclude Abkhazia and South Ossetia.

Kosovo, Montenegro, and Serbia

Data for each country are shown separately where available. However, some indicators for Serbia prior to 2006 include data for Montenegro; these data are noted in the tables. Moreover, data for most indicators for Serbia from 1999 onward exclude data for Kosovo, which in 1999 became a territory under international administration pursuant to UN Security Council Resolution 1244 (1999). Kosovo became a member of the World Bank on June 29, 2009, and its data are shown where available.

Moldova

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

Morocco

GNI and GDP data and data calculated using GNI and GDP include Former Spanish Sahara.

South Sudan and Sudan

South Sudan declared its independence on July 9, 2011. Data are shown separately for South Sudan where available. Data reported for Sudan exclude South Sudan unless otherwise noted.

Tanzania

GNI and GDP data and data calculated using GNI and GDP refer to mainland Tanzania only.

For more information, see World Development Indicators 2015 or data.worldbank.org.

Country tables


690 1,483 728599 1,246 63725.9 32.2 30.0

58 55 395.5 .. ..

400 685 3322,049 3,045 2,158

2.1 17.2 27.50.0 –0.3 0.60.4 6.1 13.811

953

2.1 13,951 12,351–0.4 2.4 3.95.6 7.6 5.2

.. 2.4 ..

.. 15,440 15,120

.. 10,343 25,817

.. 555 359

.. 26.7 66.0

.. 605 219

.. 77.9 30.9

.. 13.8 45.50.3 1.4 0.3

1,543 1,186 4,87543.0 51.6 4.2

99 91 9064 91 6956 89 6190 95 8729 40 3723 30 3347 61 46

24 32 1994 100 78

.. .. 6

.. .. 1497 57 76

–21.1 30.6 23.19.4 9.1 7.51.6 2.8 3.10.0 1.5 1.10.0 0.4 1.51.2 1.2 4.50.5 1.2 0.36.4 1.2 1.6

–36.9 19.0 9.2


AfghanistanCountry

data

SouthAsia

group

Low-income group

Population (millions) 30.6 Land area (1,000 sq. km) 653 GDP ($ billions) 20.3


4,510 7,114 7,6043,771 6,243 6,164

55.4 60.1 61.8

44 66 4417.0 .. ..

3,800 5,070 1,1604,606 3,136 4,391

28.2 10.5 29.1–0.1 –0.5 0.011.0 5.1 16.1

35

390

7.5 1,036 93,789–2.7 –3.9 1.6–3.7 2.0 8.92.4 .. 8.5

.. .. 52,070

.. .. 50,160

748 2,080 1,8939.6 2.9 8.5

2,195 2,954 2,9320.0 65.8 74.7

100.0 17.9 20.01.5 5.3 5.4

9,284 2,710 6,9104.9 31.6 7.339 67 7096 95 9394 89 8597 99 9891 94 7486 90 6295 97 82

14 17 47100 91 81

5 .. ..5 .. ..

15 23 20

18.2 18.6 36.812.2 8.9 14.7

2.8 3.6 3.23.3 3.6 3.60.1 0.7 1.10.1 0.0 0.20.4 0.8 0.90.9 0.6 0.34.1 7.5 19.4


AlbaniaCountry

data

Europe &Central

Asiagroup

Upper middle- income group



5,330 3,456 7,6043,948 2,654 6,164

69.5 60.1 61.8

17 23 442.1 .. ..

3,719 .. 1,1601,814 2,561 4,391

0.6 2.4 29.10.6 –0.1 0.07.5 6.1 16.114

83617

102 4,159 93,7890.5 3.0 1.67.6 12.6 8.9

0.36 2.7 8.5.. 5,700 52,070.. 217 50,160

1,108 1,376 1,8930.0 0.9 8.5

1,091 1,696 2,93299.0 91.7 74.7

1.0 5.5 20.03.3 3.9 5.4

287 656 6,91050.9 121.9 7.3

61 86 7084 90 9380 83 8586 95 9895 88 7488 80 6298 93 82

22 28 47100 100 81

.. .. ..

.. .. ..25 26 20

46.2 27.9 36.87.0 10.0 14.74.5 4.1 3.2

17.6 12.4 3.60.1 0.4 1.10.3 0.2 0.20.7 0.9 0.90.2 0.4 0.3

24.8 8.1 19.4


AlgeriaCountry

data

Middle East &

N. Africa group

Upper middle- income group

Population (millions) 39.2 Land area (1,000 sq. km) 2,382 GDP ($ billions) 210.2


.. 5,536 7,604

.. 4,520 6,16487.3 50.9 61.8

25 48 44.. .. .... 822 1,160.. 5,184 4,391

88.2 29.7 29.10.2 –0.4 0.02.9 15.1 16.1

1891

3.2 115,605 93,78920.7 3.4 1.6

.. 9.1 8.917.1 2.2 8.5220 137,690 52,0700.52 56,537 50,160

.. 1,671 1,893

.. 10.1 8.5

.. 2,582 2,932

.. 80.9 74.7

.. 14.5 20.0

.. 4.9 5.4

.. 4,376 6,910

.. 10.9 7.3

.. 73 70100 91 93100 85 85100 97 98

63 67 7463 58 6263 76 82

.. 55 47

.. 92 81

.. .. ..

.. .. ..

.. 20 20

.. 47.9 36.8

.. 16.6 14.7

.. 2.2 3.2

.. 2.2 3.6

.. 1.2 1.1

.. 0.1 0.2

.. 1.1 0.9

.. 0.4 0.3

.. 28.4 19.4


American SamoaCountry

data

East Asia & Pacific

group

Upper middle-income group

Population (thousands) 55 Land area (sq. km) 200 GDP ($ millions) ..


43,110 39,812.. 32,117

86.2 80.0

43 29.. .... 18,497.. 4,953

34.0 34.90.0 0.09.8 13.9

2000

.. 37,398

.. –1.9

.. 2.4

.. 17.0

.. 82,210

.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.26.6 11.6

3,984 11,269.. 7.2.. 43

100 99100 98100 100100 96100 93100 97

13 17100 76

.. ..

.. ..3 6

.. 21.39.6 16.32.9 4.80.0 1.40.0 0.2

.. 0.00.1 0.3

.. 0.2

.. 7.7


AndorraCountry

data

High-income group

Population (thousands) 79 Land area (sq. km) 470 GDP ($ billions) 3.7


5,170 1,686 7,6043,212 1,382 6,164

42.5 36.7 61.8

47 44 44.. .. ..

877 673 1,160815 1,433 4,391

46.7 27.7 29.10.2 0.5 0.0

12.4 16.4 16.115244034

275 6,652 93,7893.2 1.8 1.6

.. 15.6 8.90.07 .. 8.5

.. 17,980 52,070312 27,808 50,160

673 681 1,89358.2 57.6 8.5248 535 2,93229.1 65.1 74.770.9 20.0 20.0

1.6 0.8 5.4

6,893 4,120 6,9100.5 3.0 7.321 81 7054 64 9334 53 8568 85 9860 30 7420 23 6287 41 82

11 17 4767 72 81

.. 5 ..

.. 14 ..167 92 20

20.4 23.8 36.812.1 8.6 14.7

3.6 3.6 3.226.2 5.7 3.6

0.0 1.6 1.10.3 1.9 0.20.3 0.5 0.91.2 1.1 0.3

–16.1 6.7 19.4


AngolaCountry

data

Sub-Saharan Africa group




13,050 39,812.. 32,117

24.6 80.0

20 29.. ..

2,298 18,4972,000 4,953

22.3 34.90.2 0.0

10.2 13.922

194

6.0 37,3988.7 –1.9

.. 2.40.78 17.0240 82,2108.4 15,504

1,730 4,877.. 4.3.. 8,906.. 61.8.. 12.2

5.9 11.6

578 11,26916.2 7.2

15 4398 9998 9898 10091 9691 9391 97

17 1799 76

.. ..

.. ..9 6

8.0 21.39.2 16.32.1 4.80.0 1.40.0 0.2

.. 0.00.5 0.30.0 0.2

.. 7.7


Antigua and BarbudaCountry

data

High-income group



.. 9,542 7,60412,522 7,878 6,164

91.5 79.0 61.8

54 38 44.. .. ..

12,890 4,576 1,1604,725 4,161 4,391

10.6 48.2 29.10.8 0.5 0.06.9 21.4 16.138463770

874 11,967 93,7891.9 –0.1 1.6

11.7 10.0 8.91.6 14.3 8.5

.. 14,860 52,070

.. 39,988 50,160

1,967 1,292 1,8933.8 16.0 8.5

2,967 1,985 2,93269.1 37.3 74.724.4 55.1 20.0

4.5 2.7 5.4

7,045 22,124 6,91012.9 2.2 7.3

74 71 7099 94 9395 82 8599 97 9897 81 7499 62 6297 86 82

5 8 474 33 81.. .. .... .. ..

13 18 20

16.5 17.3 36.810.5 11.2 14.7

5.7 5.1 3.22.6 3.8 3.60.3 0.9 1.10.0 0.4 0.20.3 0.3 0.90.0 0.1 0.38.4 5.7 19.4


ArgentinaCountry

data


group



a


3,800 7,114 2,0743,196 6,243 1,768

63.0 60.1 38.8

59 66 468.9 .. ..

9,083 5,070 9323,108 3,136 3,079

8.9 10.5 27.01.5 –0.5 0.38.1 5.1 11.9

911

371

16.4 1,036 47,2302.5 –3.9 2.53.7 2.0 10.3

.. .. 11.3

.. .. 124,480

.. .. 58,917

916 2,080 6860.3 2.9 26.8

1,755 2,954 73632.2 65.8 72.333.5 17.9 16.9

1.4 5.3 1.6

2,304 2,710 3,04742.9 31.6 19.3

39 67 88100 95 88100 89 84100 99 94

91 94 4781 90 3696 97 66

19 17 27100 91 92

5 .. ..9 .. ..

16 23 59

13.0 18.6 28.811.2 8.9 8.2

2.9 3.6 3.20.0 3.6 2.91.8 0.7 0.80.3 0.0 0.80.5 0.8 0.91.0 0.6 0.91.2 7.5 17.5


ArmeniaCountry

data

Europe & Central

Asia group

Lower middle-income group



.. 39,812

.. 32,11742.1 80.0

11 29.. .... 18,497.. 4,953

2.3 34.90.0 0.00.5 13.9

21

152

0.14 37,398–4.6 –1.9

.. 2.4

.. 17.0<50 82,2100.71 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.222.8 11.6

.. 11,269

.. 7.2

.. 4398 9998 9898 10098 9698 9398 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.35.5 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


ArubaCountry

data

High-income group



65,400 39,81252,458 32,117

89.2 80.0

53 290.5 ..

49,723 18,4971,992 4,953

19.2 34.90.4 0.0

12.8 13.95547

10690

235 37,398–1.6 –1.98.2 2.4

33.2 17.048,960 82,210

9,910 15,504

5,501 4,8773.3 4.3

10,712 8,90689.9 61.8

6.6 12.216.9 11.6

21,272 11,2694.6 7.274 43

100 99100 98100 100100 96100 93100 97

6 174 76.. .... ..4 6

25.2 21.316.7 16.3

4.9 4.81.0 1.42.5 0.20.0 0.00.3 0.30.0 0.29.6 7.7


AustraliaCountry

data

High-income group

Population (millions) 23.1 Land area (1,000 sq. km) 7,682 GDP ($ billions) 1,560.4


50,390 39,81241,352 32,117

65.9 80.0

38 291.4 ..

32,747 18,4976,073 4,953

47.3 34.9–0.1 0.023.6 13.9

39

1113

3.6 37,398–1.8 –1.90.2 2.4

.. 17.0

.. 82,210

.. 15,504

3,935 4,87719.0 4.3

8,388 8,90633.3 61.855.0 12.2

8.0 11.6

6,486 11,2696.6 7.2

3 43100 99100 98100 100100 96100 93100 97

13 1783 76

.. ..

.. ..4 6

25.6 21.317.9 16.3

5.6 4.80.1 1.40.0 0.20.0 0.00.2 0.30.1 0.2

12.8 7.7


AustriaCountry

data

High-income group



7,350 7,114 7,6045,106 6,243 6,164

54.1 60.1 61.8

58 66 4429.5 .. ..

1,468 5,070 1,1602,694 3,136 4,391

11.3 10.5 29.10.0 –0.5 0.07.4 5.1 16.1

7121042

1.1 1,036 93,789–15.7 –3.9 1.6

–5.6 2.0 8.9.. .. 8.5.. .. 52,070.. .. 50,160

1,369 2,080 1,8930.8 2.9 8.5

1,705 2,954 2,93286.8 65.8 74.713.2 17.9 20.0

5.1 5.3 5.4

862 2,710 6,910147.5 31.6 7.3

84 67 7080 95 9371 89 8588 99 9882 94 7478 90 6286 97 82

17 17 47100 91 81

.. .. ..

.. .. ..34 23 20

43.3 18.6 36.85.0 8.9 14.72.6 3.6 3.2

25.7 3.6 3.60.1 0.7 1.10.0 0.0 0.20.7 0.8 0.90.3 0.6 0.3

14.2 7.5 19.4


AzerbaijanCountry

data

Europe & Central

Asiagroup




21,570 39,81220,356 32,117

82.7 80.0

1 29.. ..

29,747 18,4977,368 4,953

51.4 34.90.0 0.0

13.7 13.967

308

12.9 37,3981.3 –1.9

.. 2.40.41 17.0

3,150 82,210875 15,504

2,073 4,877.. 4.3.. 8,906.. 61.8.. 12.2

6.8 11.6

53 11,269.. 7.2.. 43

98 9998 9898 10092 9692 9392 97

13 17100 76

.. ..

.. ..13 6

11.6 21.36.5 16.33.8 4.80.0 1.40.0 0.20.0 0.00.3 0.30.2 0.28.4 7.7


Bahamas, TheCountry

data

High-income group

Population (thousands) 377 Land area (1,000 sq. km) 10 GDP ($ billions) 8.4


19,700 39,81214,143 32,117

88.7 80.0

11 29.. .... 18,497.. 4,953

0.7 34.9–3.6 0.02.8 13.9

3290

15.0 37,3982.7 –1.9

.. 2.47.4 17.0

570 82,2100.65 15,504

7,353 4,8770.0 4.3

10,018 8,906100.0 61.8

0.0 12.219.3 11.6

3 11,2698,935.0 7.2

45 43100 99100 98100 100

99 9699 9399 97

49 17100 76

.. ..

.. ..6 6

31.2 21.35.7 16.32.8 4.8

25.0 1.40.0 0.20.0 0.00.9 0.30.2 0.22.1 7.7


BahrainCountry

data

High-income group

Population (millions) 1.3 Land area (sq. km) 760 GDP ($ billions) 32.9


1,010 1,483 728934 1,246 63732.8 32.2 30.0

70 55 39.. .. ..

520 685 3324,357 3,045 2,158

11.0 17.2 27.50.2 –0.3 0.64.7 6.1 13.833281817

3,410 13,951 12,3513.8 2.4 3.9

10.4 7.6 5.22.5 2.4 ..

<50 15,440 15,1204,951 10,343 25,817

205 555 35928.2 26.7 66.0259 605 21998.0 77.9 30.9

2.0 13.8 45.50.4 1.4 0.3

671 1,186 4,87534.2 51.6 4.2

88 91 9085 91 6984 89 6186 95 8757 40 3758 30 3355 61 46

31 32 19100 100 78

6 .. 65 .. 14

41 57 76

35.9 30.6 23.17.0 9.1 7.51.8 2.8 3.11.7 1.5 1.10.0 0.4 1.51.0 1.2 4.50.4 1.2 0.30.8 1.2 1.6

26.8 19.0 9.2


BangladeshCountry

data

SouthAsia

group

Low-income group



15,080 39,81213,784 32,117

31.7 80.0

33 29.. ..

12,778 18,4972,833 4,953

19.4 34.90.0 0.00.1 13.9

32

213

3.0 37,398–0.1 –1.9

.. 2.40.07 17.0

<100 82,2100.04 15,504

1,451 4,877.. 4.3.. 8,906.. 61.8.. 12.2

5.4 11.6

281 11,269126.3 7.2

54 43100 99100 98100 100

.. 96

.. 93

.. 97

19 17100 76

.. ..

.. ..14 6

8.6 21.33.9 16.35.4 4.80.7 1.40.0 0.20.0 0.00.4 0.30.4 0.29.1 7.7


BarbadosCountry

data

High-income group



6,730 7,114 7,6046,445 6,243 6,164

75.9 60.1 61.8

43 66 440.3 .. ..

9,086 5,070 1,1603,009 3,136 4,391

42.9 10.5 29.1–0.4 –0.5 0.08.3 5.1 16.1

4621

14.2 1,036 93,789–6.1 –3.9 1.6–0.9 2.0 8.9

.. .. 8.5

.. .. 52,070

.. .. 50,160

3,114 2,080 1,8935.9 2.9 8.5

3,628 2,954 2,93299.4 65.8 74.7

0.1 17.9 20.06.6 5.3 5.4

3,930 2,710 6,91011.7 31.6 7.3

19 67 70100 95 93

99 89 85100 99 98

94 94 7495 90 6294 97 82

11 17 4734 91 81

.. .. ..

.. .. ..5 23 20

29.7 18.6 36.810.1 8.9 14.7

4.8 3.6 3.21.0 3.6 3.60.0 0.7 1.10.4 0.0 0.21.0 0.8 0.90.5 0.6 0.3

21.4 7.5 19.4


BelarusCountry

data

Europe & Central

Asiagroup




46,340 39,81237,166 32,117

97.8 80.0

44 290.4 ..

64,960 18,4979,213 4,953

22.5 34.9–0.2 0.023.0 13.9

24

110

25.9 37,398–2.1 –1.9–4.9 2.455.7 17.0

.. 82,210

.. 15,504

5,349 4,8778.9 4.3

8,021 8,90634.9 61.8

0.2 12.210.0 11.6

1,073 11,26951.8 7.2

1 43100 99100 98100 100100 96100 93100 97

19 17100 76

.. ..

.. ..4 6

21.1 21.320.0 16.3

6.3 4.80.0 1.40.0 0.20.0 0.00.2 0.30.2 0.26.9 7.7


BelgiumCountry

data

High-income group



4,510 9,542 7,6043,516 7,878 6,164

44.3 79.0 61.8

7 38 44.. .. ..

4,331 4,576 1,1603,616 4,161 4,391

60.2 48.2 29.10.7 0.5 0.0

36.7 21.4 16.195

3133

40.2 11,967 93,78912.9 –0.1 1.620.5 10.0 8.914.2 14.3 8.5

1,330 14,860 52,070958 39,988 50,160

622 1,292 1,893.. 16.0 8.5.. 1,985 2,932.. 37.3 74.7.. 55.1 20.0

1.4 2.7 5.4

45,978 22,124 6,9100.7 2.2 7.368 71 7099 94 93

100 82 8598 97 9891 81 7488 62 6294 86 82

6 8 4723 33 81

.. .. ..

.. .. ..17 18 20

10.7 17.3 36.817.4 11.2 14.7

6.7 5.1 3.25.2 3.8 3.60.0 0.9 1.10.0 0.4 0.20.3 0.3 0.90.3 0.1 0.3

–5.7 5.7 19.4


BelizeCountry

data


group




790 1,686 728655 1,382 63743.1 36.7 30.0

33 44 39.. .. ..

1,209 673 3321,433 1,433 2,158

39.6 27.7 27.51.0 0.5 0.6

26.1 16.4 13.811

82815

43.1 6,652 12,3510.5 1.8 3.9

.. 15.6 5.2

.. .. ..

.. 17,980 15,12065.7 27,808 25,817

385 681 35956.2 57.6 66.0

84 535 21999.4 65.1 30.9

0.0 20.0 45.50.5 0.8 0.3

998 4,120 4,8751.3 3.0 4.245 81 9076 64 6969 53 6185 85 8714 30 37

5 23 3325 41 46

22 17 19100 72 78

1 5 66 14 14

85 92 76

13.9 23.8 23.116.1 8.6 7.5

4.8 3.6 3.10.0 5.7 1.10.0 1.6 1.51.9 1.9 4.50.7 0.5 0.32.0 1.1 1.6

–2.1 6.7 9.2


BeninCountry

data


Low-income group



104,610 39,812.. 32,117

100.0 80.0

15 29.. ..

38,510 18,497.. 4,953

20.0 34.90.0 0.05.8 13.9

41

165

0.46 37,3980.0 –1.9

.. 2.45.0 17.0

370 82,2100.18 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.27.3 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.34.7 16.32.1 4.80.0 1.40.0 0.2

.. 0.00.1 0.3

.. 0.2

.. 7.7


BermudaCountry

data

High-income group



2,330 1,483 2,0741,761 1,246 1,768

37.1 32.2 38.8

14 55 466.7 .. ..

629 685 9322,942 3,045 3,079

85.8 17.2 27.0–0.3 –0.3 0.328.4 6.1 11.9

2615

312

0.07 13,951 47,230–15.6 2.4 2.5

3.6 7.6 10.3.. 2.4 11.3.. 15,440 124,480.. 10,343 58,917

359 555 686.. 26.7 26.8.. 605 736.. 77.9 72.3.. 13.8 16.9

0.7 1.4 1.6

103,456 1,186 3,0470.4 51.6 19.394 91 8898 91 8897 89 8499 95 9447 40 4731 30 3675 61 66

22 32 2795 100 92

.. .. ..

.. .. ..36 57 59

27.3 30.6 28.83.6 9.1 8.23.4 2.8 3.20.0 1.5 2.90.0 0.4 0.8

16.6 1.2 0.80.3 1.2 0.91.0 1.2 0.99.1 19.0 17.5


BhutanCountry

data

SouthAsia

group




2,550 9,542 2,0742,069 7,878 1,768

67.7 79.0 38.8

35 38 46.. .. ..

658 4,576 9321,977 4,161 3,079

52.2 48.2 27.00.5 0.5 0.3

20.8 21.4 11.92045

098

8.2 11,967 47,2300.2 –0.1 2.53.3 10.0 10.3

.. 14.3 11.3

.. 14,860 124,480

.. 39,988 58,917

746 1,292 68624.6 16.0 26.8623 1,985 73664.1 37.3 72.332.5 55.1 16.9

1.5 2.7 1.6

28,441 22,124 3,0470.7 2.2 19.392 71 8888 94 8872 82 8496 97 9446 81 4724 62 3658 86 66

6 8 2717 33 9220 .. ..26 .. ..39 18 59

25.5 17.3 28.810.7 11.2 8.2

6.5 5.1 3.210.5 3.8 2.9

1.8 0.9 0.80.0 0.4 0.80.7 0.3 0.90.4 0.1 0.97.9 5.7 17.5


BoliviaCountry

data


group




4,780 7,114 7,604.. 6,243 6,164

39.5 60.1 61.8

42 66 44.. .. .... 5,070 1,160

4,027 3,136 4,391

42.8 10.5 29.10.0 –0.5 0.01.5 5.1 16.1

45

311

3.2 1,036 93,789.. –3.9 1.6.. 2.0 8.9

99.2 .. 8.5.. .. 52,070.. .. 50,160

1,848 2,080 1,8932.6 2.9 8.5

3,189 2,954 2,93271.3 65.8 74.728.7 17.9 20.0

8.1 5.3 5.4

9,271 2,710 6,9100.9 31.6 7.3

.. 67 70100 95 93100 89 85100 99 98

95 94 7492 90 6299 97 82

12 17 4778 91 81

.. .. ..

.. .. ..7 23 20

12.1 18.6 36.816.6 8.9 14.7

.. 3.6 3.20.0 3.6 3.60.5 0.7 1.1

.. 0.0 0.21.8 0.8 0.91.3 0.6 0.3

.. 7.5 19.4


Bosnia and HerzegovinaCountry

data

Europe & Central

Asia group




7,770 1,686 7,6045,861 1,382 6,164

56.9 36.7 61.8

46 44 440.0 .. ..

768 673 1,160300 1,433 4,391

19.6 27.7 29.11.0 0.5 0.0

37.2 16.4 16.17

1022

0.43 6,652 93,789–4.7 1.8 1.6

.. 15.6 8.9

.. .. 8.5

.. 17,980 52,070

.. 27,808 50,160

1,115 681 1,89322.3 57.6 8.5

1,603 535 2,932100.0 65.1 74.7

0.0 20.0 20.02.7 0.8 5.4

1,187 4,120 6,9108.1 3.0 7.341 81 7097 64 9393 53 8599 85 9864 30 7442 23 6278 41 82

5 17 470 72 81.. 5 .... 14 ..

47 92 20

39.7 23.8 36.817.8 8.6 14.7

9.3 3.6 3.20.2 5.7 3.61.3 1.6 1.10.0 1.9 0.20.4 0.5 0.90.1 1.1 0.3

29.2 6.7 19.4


BotswanaCountry

data





11,690 9,542 7,6049,233 7,878 6,164

85.2 79.0 61.8

33 38 441.6 .. ..

5,564 4,576 1,1604,826 4,161 4,391

61.6 48.2 29.10.5 0.5 0.0

26.3 21.4 16.182

14284

509

1,239 11,967 93,7890.9 –0.1 1.6

14.6 10.0 8.916.3 14.3 8.5

1,200 14,860 52,07012,999 39,988 50,160

1,371 1,292 1,89328.9 16.0 8.5

2,438 1,985 2,9329.8 37.3 74.7

80.6 55.1 20.02.2 2.7 5.4

28,254 22,124 6,9101.3 2.2 7.360 71 7098 94 9385 82 85

100 97 9881 81 7449 62 6287 86 82

5 8 4714 33 81

.. .. ..

.. .. ..14 18 20

13.9 17.3 36.812.3 11.2 14.7

5.6 5.1 3.21.8 3.8 3.61.1 0.9 1.10.8 0.4 0.20.2 0.3 0.90.1 0.1 0.33.2 5.7 19.4


BrazilCountry

data

Latin America & Carribean

group




31,590 39,81216,779 32,117

76.6 80.0

3 290.9 ..

83,867 18,4971,028 4,953

71.4 34.90.4 0.0

44.0 13.93322

7104

4.8 37,3982.3 –1.9

23.9 2.41.4 17.0

210 82,210173 15,504

9,427 4,8770.0 4.3

8,507 8,90699.9 61.8

0.0 12.222.9 11.6

20,345 11,2691.1 7.2

6 43.. 99.. 98.. 100.. 96.. 93.. 97

5 171 76.. .... ..

10 6

50.6 21.39.6 16.32.2 4.8

29.0 1.40.0 0.20.0 0.00.8 0.3

.. 0.2

.. 7.7


Brunei DarussalamCountry

data

High-income group

Population (thousands) 418 Land area (1,000 sq. km) 5.3 GDP ($ billions) 16.1


7,360 7,114 7,6046,074 6,243 6,164

73.3 60.1 61.8

47 66 441.8 .. ..

16,606 5,070 1,1604,431 3,136 4,391

37.2 10.5 29.1–1.5 –0.5 0.036.6 5.1 16.1

71319

6

21.8 1,036 93,789–6.8 –3.9 1.61.9 2.0 8.9

15.7 .. 8.5.. .. 52,070.. .. 50,160

2,615 2,080 1,8935.1 2.9 8.5

4,864 2,954 2,93259.5 65.8 74.7

5.8 17.9 20.06.0 5.3 5.4

2,891 2,710 6,91029.1 31.6 7.3

16 67 70100 95 93

99 89 85100 99 98100 94 74100 90 62100 97 82

17 17 47100 91 81

.. .. ..

.. .. ..12 23 20

24.2 18.6 36.815.3 8.9 14.7

4.1 3.6 3.20.1 3.6 3.60.8 0.7 1.10.0 0.0 0.20.9 0.8 0.90.8 0.6 0.3

10.4 7.5 19.4


BulgariaCountry

data

Europe & Central

Asia group




750 1,686 728600 1,382 63728.2 36.7 30.0

44 44 39.. .. ..

205 673 3321,157 1,433 2,158

20.2 27.7 27.51.0 0.5 0.6

15.2 16.4 13.89743

20.8 6,652 12,3514.8 1.8 3.9

18.9 15.6 5.2.. .. .... 17,980 15,120.. 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

738 4,120 4,8756.5 3.0 4.251 81 9082 64 6976 53 6198 85 8719 30 37

7 23 3350 41 46

27 17 19100 72 78

2 5 615 14 1498 92 76

22.0 23.8 23.17.6 8.6 7.53.1 3.6 3.10.0 5.7 1.19.8 1.6 1.53.7 1.9 4.50.2 0.5 0.33.9 1.1 1.66.0 6.7 9.2


Burkina FasoCountry

data


Low-income group



260 1,686 728159 1,382 63711.5 36.7 30.0

75 44 39.. .. ..

128 673 3321,176 1,433 2,158

6.6 27.7 27.51.4 0.5 0.64.9 16.4 13.8111217

6

13.4 6,652 12,351–1.2 1.8 3.97.7 15.6 5.2

.. .. ..

.. 17,980 15,120

.. 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.0 0.8 0.3

990 4,120 4,8752.9 3.0 4.277 81 9075 64 6973 53 6192 85 8748 30 3748 23 3343 41 46

11 17 1995 72 7817 5 625 14 1483 92 76

17.8 23.8 23.113.4 8.6 7.5

5.7 3.6 3.10.0 5.7 1.10.7 1.6 1.5

26.2 1.9 4.50.1 0.5 0.31.4 1.1 1.6

–18.3 6.7 9.2


BurundiCountry

data


Low-income group



3,620 1,686 2,0743,146 1,382 1,768

64.1 36.7 38.8

19 44 46.. .. .... 673 932

182 1,433 3,079

21.3 27.7 27.0–0.4 0.5 0.32.5 16.4 11.9

43

233

23.6 6,652 47,2305.7 1.8 2.5

.. 15.6 10.30.00 .. 11.3

.. 17,980 124,480

.. 27,808 58,917

213 681 686.. 57.6 26.8.. 535 736.. 65.1 72.3.. 20.0 16.9

0.7 0.8 1.6

601 4,120 3,0477.3 3.0 19.391 81 8889 64 8886 53 8491 85 9465 30 4747 23 3675 41 66

43 17 27100 72 92

.. 5 ..

.. 14 ..26 92 59

30.9 23.8 28.813.2 8.6 8.2

5.0 3.6 3.20.0 5.7 2.90.0 1.6 0.80.5 1.9 0.80.2 0.5 0.90.6 1.1 0.9

21.3 6.7 17.5


Cabo VerdeCountry

data





950 5,536 728830 4,520 63720.3 50.9 30.0

33 48 39.. .. ..

527 822 3323,117 5,184 2,158

55.7 29.7 27.51.3 –0.4 0.6

26.2 15.1 13.836244032

729 115,605 12,3518.2 3.4 3.9

12.2 9.1 5.20.48 2.2 ..<50 137,690 15,120728 56,537 25,817

365 1,671 35971.0 10.1 66.0164 2,582 21993.5 80.9 30.9

4.3 14.5 45.50.3 4.9 0.3

7,968 4,376 4,8751.8 10.9 4.294 73 9071 91 6966 85 6194 97 8737 67 3726 58 3382 76 46

17 55 19100 92 78

6 .. 615 .. 1438 20 76

9.0 47.9 23.110.8 16.6 7.5

1.6 2.2 3.10.0 2.2 1.10.0 1.2 1.52.5 0.1 4.50.4 1.1 0.31.0 0.4 1.6

–4.1 28.4 9.2


CambodiaCountry

data

East Asia & Pacific

group

Low-income group



1,290 1,686 2,0741,077 1,382 1,768

53.3 36.7 38.8

21 44 46.. .. ..

1,214 673 9321,652 1,433 3,079

41.2 27.7 27.01.0 0.5 0.3

11.0 16.4 11.93821

111380

154 6,652 47,2303.4 1.8 2.59.4 15.6 10.36.5 .. 11.3

.. 17,980 124,4801,962 27,808 58,917

318 681 68667.6 57.6 26.8256 535 73625.6 65.1 72.373.3 20.0 16.9

0.4 0.8 1.6

12,267 4,120 3,0470.4 3.0 19.376 81 8874 64 8852 53 8494 85 9445 30 4727 23 3662 41 66

22 17 2793 72 92

5 5 ..21 14 ..95 92 59

10.4 23.8 28.812.3 8.6 8.2

2.8 3.6 3.24.8 5.7 2.90.1 1.6 0.80.0 1.9 0.80.3 0.5 0.91.7 1.1 0.9

–6.0 6.7 17.5


CameroonCountry

data





52,210 39,81241,024 32,117

81.5 80.0

7 291.2 ..

.. 18,4974,170 4,953

34.1 34.90.0 0.08.6 13.9111336

5

1,039 37,398–2.8 –1.96.4 2.41.3 17.0

.. 82,210

.. 15,504

7,333 4,8774.9 4.3

16,473 8,90622.8 61.859.0 12.214.7 11.6

81,071 11,2691.5 7.2

.. 43100 99

99 98100 100100 96

99 93100 97

10 1742 76

.. ..

.. ..5 6

21.3 21.317.5 16.3

5.0 4.81.8 1.40.5 0.20.0 0.00.3 0.30.1 0.26.1 7.7


CanadaCountry

data

High-income group



.. 39,812

.. 32,117100.0 80.0

11 29.. .... 18,497.. 4,953

52.9 34.90.0 0.08.7 13.9

12

2020

0.13 37,398–7.9 –1.9

.. 2.41.2 17.0

230 82,21078.3 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.210.6 11.6

.. 11,269

.. 7.2

.. 4396 99

.. 9896 10096 96

.. 9396 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


Cayman IslandsCountry

data

High-income group

Population (thousands) 58 Land area (sq. km) 240 GDP ($ billions) ..


320 1,686 728305 1,382 63739.5 36.7 30.0

8 44 39.. .. ..

863 673 3321,716 1,433 2,158

36.2 27.7 27.50.1 0.5 0.6

18.0 16.4 13.88

103

18

30.2 6,652 12,3513.7 1.8 3.92.4 15.6 5.2

.. .. ..

.. 17,980 15,120

.. 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

30,543 4,120 4,8750.1 3.0 4.2

1 81 9068 64 6954 53 6190 85 8722 30 37

7 23 3344 41 46

19 17 19100 72 78

.. 5 6

.. 14 14139 92 76

.. 23.8 23.18.2 8.6 7.51.2 3.6 3.10.0 5.7 1.10.2 1.6 1.50.0 1.9 4.50.1 0.5 0.30.6 1.1 1.6

.. 6.7 9.2


Central African RepublicCountry

data


Low-income group



1,030 1,686 728819 1,382 63722.2 36.7 30.0

40 44 39.. .. .... 673 332

1,007 1,433 2,158

9.0 27.7 27.50.7 0.5 0.6

16.6 16.4 13.813

914

120 6,652 12,3512.4 1.8 3.9

.. 15.6 5.2

.. .. ..

.. 17,980 15,120

.. 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.0 0.8 0.3

1,170 4,120 4,8755.9 3.0 4.276 81 9051 64 6945 53 6172 85 8712 30 37

7 23 3331 41 46

33 17 19100 72 78

.. 5 6

.. 14 14148 92 76

.. 23.8 23.17.5 8.6 7.52.0 3.6 3.1

11.6 5.7 1.10.0 1.6 1.50.0 1.9 4.50.0 0.5 0.35.8 1.1 1.6

.. 6.7 9.2


ChadCountry

data


Low-income group



.. 39,812

.. 32,11731.3 80.0

50 293.2 ..

.. 18,497

.. 4,953

4.2 34.9.. 0.0

9.3 13.9........

3.8 37,398–0.2 –1.912.3 2.40.02 17.0

.. 82,210

.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


Channel IslandsCountry

data

High-income group



15,230 39,81211,883 32,117

89.2 80.0

21 295.6 ..

6,671 18,4976,913 4,953

21.9 34.9–0.2 0.018.6 13.9

20292072

3,335 37,398–3.6 –1.912.4 2.4

4.7 17.0.. 82,210.. 15,504

1,940 4,87717.6 4.3

3,568 8,90660.4 61.832.0 12.2

4.2 11.6

50,228 11,2694.0 7.283 4399 9991 98

100 10099 9689 93

100 97

8 1737 76

.. ..

.. ..8 6

21.3 21.313.0 16.3

4.6 4.80.1 1.48.3 0.20.0 0.00.3 0.30.1 0.24.2 7.7


ChileCountry

data

High-income group



6,560 5,536 7,6045,318 4,520 6,164

53.2 50.9 61.8

55 48 44.. .. ..

785 822 1,1605,891 5,184 4,391

22.6 29.7 29.1–1.6 –0.4 0.016.7 15.1 16.1

7379

122501

73,671 115,605 93,7894.0 3.4 1.68.9 9.1 8.91.6 2.2 8.5

1,510 137,690 52,070208 56,537 50,160

2,029 1,671 1,8937.9 10.1 8.5

3,298 2,582 2,93280.9 80.9 74.714.8 14.5 20.0

6.2 4.9 5.4

2,072 4,376 6,91019.7 10.9 7.3

65 73 7092 91 9385 85 8598 97 9865 67 7456 58 6274 76 82

73 55 4799 92 81

.. .. ..

.. .. ..13 20 20

51.5 47.9 36.818.2 16.6 14.7

1.8 2.2 3.21.9 2.2 3.61.4 1.2 1.10.0 0.1 0.21.2 1.1 0.90.4 0.4 0.3

30.3 28.4 19.4


ChinaCountry

data

East Asia & Pacific

group


Population (millions) 1,357.4 Land area (1,000 sq. km) 9,388 GDP ($ billions) 9,240.3


7,590 9,542 7,6046,004 7,878 6,164

75.9 79.0 61.8

38 38 44.. .. ..

3,812 4,576 1,1603,314 4,161 4,391

54.3 48.2 29.10.2 0.5 0.0

21.2 21.4 16.154

10654

245

149 11,967 93,789–3.0 –0.1 1.69.8 10.0 8.9

16.1 14.3 8.5940 14,860 52,070

4,079 39,988 50,160

671 1,292 1,89311.5 16.0 8.5

1,123 1,985 2,93217.6 37.3 74.779.1 55.1 20.0

1.6 2.7 5.4

46,977 22,124 6,9100.5 2.2 7.354 71 7091 94 9374 82 8597 97 9880 81 7466 62 6285 86 82

5 8 473 33 816 .. ..

13 .. ..17 18 20

20.5 17.3 36.812.0 11.2 14.7

3.2 5.1 3.27.8 3.8 3.60.6 0.9 1.10.0 0.4 0.20.2 0.3 0.90.1 0.1 0.33.0 5.7 19.4


ColombiaCountry

data


group




840 1,686 728673 1,382 63728.1 36.7 30.0

85 44 39.. .. ..

806 673 3321,443 1,433 2,158

1.2 27.7 27.59.3 0.5 0.6

10.1 16.4 13.85877

10.4 6,652 12,351–0.3 1.8 3.9

.. 15.6 5.23.2 .. ..

430 17,980 15,1201.2 27,808 25,817

65 681 359.. 57.6 66.0.. 535 219.. 65.1 30.9.. 20.0 45.5

0.2 0.8 0.3

1,633 4,120 4,8750.8 3.0 4.247 81 9095 64 6997 53 6191 85 8735 30 3730 23 3350 41 46

5 17 190 72 783 5 6

17 14 1478 92 76

14.1 23.8 23.116.4 8.6 7.5

3.6 3.6 3.10.0 5.7 1.10.0 1.6 1.53.5 1.9 4.50.3 0.5 0.31.6 1.1 1.6

–4.0 6.7 9.2


ComorosCountry

data


Low-income group

Population (thousands) 735 Land area (1,000 sq. km) 1.9 GDP ($ millions) 598.9


430 1,686 728273 1,382 63741.5 36.7 30.0

11 44 39.. .. ..

229 673 332767 1,433 2,158

67.7 27.7 27.50.2 0.5 0.6

12.0 16.4 13.8313584

103

230 6,652 12,3511.5 1.8 3.96.3 15.6 5.24.4 .. ..

.. 17,980 15,120193 27,808 25,817

383 681 35993.1 57.6 66.0105 535 2190.4 65.1 30.9

99.6 20.0 45.50.0 0.8 0.3

13,331 4,120 4,8750.1 3.0 4.211 81 9047 64 6929 53 6179 85 8731 30 3733 23 3329 41 46

15 17 1996 72 78

.. 5 616 14 14

119 92 76

10.4 23.8 23.17.6 8.6 7.52.4 3.6 3.11.7 5.7 1.1

10.6 1.6 1.518.4 1.9 4.5

0.1 0.5 0.32.6 1.1 1.6

–28.2 6.7 9.2


Congo, Dem. Rep.Country

data


Low-income group



2,590 1,686 2,074509 1,382 1,76864.5 36.7 38.8

31 44 46.. .. ..

776 673 932889 1,433 3,079

65.6 27.7 27.00.1 0.5 0.3

30.4 16.4 11.911

44738

73.2 6,652 47,2301.8 1.8 2.5

–3.0 15.6 10.333.5 .. 11.3

.. 17,980 124,48016.7 27,808 58,917

393 681 68646.9 57.6 26.8172 535 73638.8 65.1 72.361.2 20.0 16.9

0.5 0.8 1.6

49,914 4,120 3,0470.0 3.0 19.3

9 81 8875 64 8839 53 8496 85 9415 30 47

6 23 3620 41 66

14 17 2797 72 92

.. 5 ..19 14 ..49 92 59

.. 23.8 28.825.6 8.6 8.2

2.5 3.6 3.253.9 5.7 2.9

0.0 1.6 0.80.0 1.9 0.80.2 0.5 0.91.7 1.1 0.9

.. 6.7 17.5


Congo, Rep.Country

data





9,550 9,542 7,6049,309 7,878 6,164

75.0 79.0 61.8

37 38 441.5 .. ..

6,556 4,576 1,1603,639 4,161 4,391

51.9 48.2 29.1–0.9 0.5 0.026.9 21.4 16.1

102250

131

55.2 11,967 93,7891.3 –0.1 1.6

18.8 10.0 8.915.5 14.3 8.5970 14,860 52,070418 39,988 50,160

983 1,292 1,89315.8 16.0 8.5

1,844 1,985 2,9328.8 37.3 74.7

72.6 55.1 20.01.7 2.7 5.4

23,193 22,124 6,9102.1 2.2 7.357 71 7097 94 9391 82 85

100 97 9894 81 7492 62 6295 86 82

8 8 4736 33 81

.. .. ..

.. .. ..10 18 20

16.4 17.3 36.85.8 11.2 14.76.2 5.1 3.20.0 3.8 3.60.0 0.9 1.10.8 0.4 0.20.2 0.3 0.90.1 0.1 0.3

15.8 5.7 19.4


Costa RicaCountry

data


group




1,450 1,686 2,0741,390 1,382 1,768

52.8 36.7 38.8

65 44 46.. .. .... 673 932

3,125 1,433 3,079

32.7 27.7 27.0–0.2 0.5 0.322.9 16.4 11.9

231847

106

81.7 6,652 47,230–0.9 1.8 2.517.0 15.6 10.3

2.0 .. 11.3.. 17,980 124,480

99.6 27,808 58,917

579 681 68677.6 57.6 26.8212 535 73669.9 65.1 72.329.1 20.0 16.9

0.3 0.8 1.6

3,782 4,120 3,0472.0 3.0 19.338 81 8880 64 8868 53 8492 85 9422 30 4710 23 3633 41 66

15 17 2795 72 92

4 5 ..18 14 ..

100 92 59

17.4 23.8 28.80.4 8.6 8.24.3 3.6 3.24.0 5.7 2.91.1 1.6 0.80.0 1.9 0.80.2 0.5 0.92.1 1.1 0.9

13.2 6.7 17.5


Côte d’IvoireCountry

data





13,420 39,81210,803 32,117

58.4 80.0

24 291.1 ..

22,862 18,4975,451 4,953

34.4 34.9–0.2 0.014.1 13.9

81160

7

87.7 37,398.. –1.9.. 2.4

3.5 17.0.. 82,210.. 15,504

1,971 4,8775.6 4.3

3,901 8,90655.6 61.842.0 12.2

4.7 11.6

8,859 11,2691.7 7.2

1 4399 9997 98

100 10098 9698 9399 97

14 1797 76

.. ..

.. ..5 6

19.8 21.317.0 16.3

4.2 4.80.7 1.40.0 0.20.9 0.00.4 0.30.4 0.24.7 7.7


CroatiaCountry

data

High-income group



5,890 9,542 7,6045,293 7,878 6,164

76.9 79.0 61.8

60 38 44.. .. ..

4,188 4,576 1,1602,922 4,161 4,391

27.6 48.2 29.1–1.7 0.5 0.012.4 21.4 16.1

141735

176

51.7 11,967 93,789–8.7 –0.1 1.65.8 10.0 8.97.6 14.3 8.5

3,020 14,860 52,0704,944 39,988 50,160

992 1,292 1,89313.2 16.0 8.5

1,327 1,985 2,93254.9 37.3 74.7

0.6 55.1 20.03.4 2.7 5.4

3,384 22,124 6,91011.6 2.2 7.3

56 71 7094 94 9387 82 8596 97 9893 81 7488 62 6294 86 82

7 8 4744 33 81

.. .. ..

.. .. ..6 18 20

.. 17.3 36.88.0 11.2 14.7

12.9 5.1 3.22.3 3.8 3.61.0 0.9 1.10.0 0.4 0.20.6 0.3 0.90.1 0.1 0.3

.. 5.7 19.4


CubaCountry

data


group




.. 39,812

.. 32,11789.5 80.0

.. 29

.. ..

.. 18,497

.. 4,953

.. 34.9

.. 0.0

.. 13.932

212

25.1 37,398.. –1.9.. 2.4.. 17.0.. 82,210.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


CuraçaoCountry

data

High-income group



25,210 39,81216,517 32,117

67.1 80.0

14 2921.9 ..

11,380 18,4971,710 4,953

18.8 34.9–0.1 0.040.9 13.9

54

1918

6.5 37,398–3.3 –1.917.7 2.4

1.3 17.0.. 82,210.. 15,504

2,121 4,8772.0 4.3

4,271 8,90696.4 61.8

0.0 12.27.0 11.6

684 11,26923.6 7.2

86 43100 99100 98100 100100 96100 93100 97

19 17100 76

.. ..

.. ..4 6

8.1 21.312.1 16.3

6.7 4.80.0 1.40.0 0.20.0 0.00.3 0.30.1 0.23.2 7.7


CyprusCountry

data

High-income group

Population (millions) 1.1 Land area (1,000 sq. km) 9.2 GDP ($ billions) 21.9


18,970 39,81214,029 32,117

73.1 80.0

55 290.4 ..

7,175 18,4975,254 4,953

34.5 34.9–0.1 0.022.4 13.9

272

10

23.1 37,398.. –1.9.. 2.4.. 17.0.. 82,210.. 15,504

4,138 4,8776.5 4.3

6,289 8,90659.0 61.8

2.3 12.210.7 11.6

1,251 11,26912.9 7.2

2 43100 99100 98100 100100 96100 93100 97

16 17100 76

.. ..

.. ..4 6

25.4 21.323.8 16.3

4.2 4.80.1 1.40.0 0.20.0 0.00.6 0.30.2 0.24.8 7.7


Czech RepublicCountry

data

High-income group



61,670 39,81250,325 32,117

87.3 80.0

62 2912.1 ..

39,465 18,4976,311 4,953

12.9 34.9–1.1 0.018.4 13.9

23

151

740 37,398–3.4 –1.92.4 2.4

29.2 17.0.. 82,210.. 15,504

3,231 4,87719.7 4.3

6,122 8,90657.5 61.8

0.0 12.28.3 11.6

1,069 11,26911.0 7.2

36 43100 99100 98100 100100 96100 93100 97

12 1767 76

.. ..

.. ..4 6

25.1 21.317.3 16.3

8.1 4.81.4 1.40.0 0.20.0 0.00.1 0.30.1 0.2

14.2 7.7


DenmarkCountry

data

High-income group



.. 3,456 2,074

.. 2,654 1,76877.2 60.1 38.8

73 23 46.. .. .... .. 932

2,000 2,561 3,079

0.2 2.4 27.00.0 –0.1 0.30.1 6.1 11.9

77

173

1.7 4,159 47,2307.0 3.0 2.5

.. 12.6 10.30.49 2.7 11.3450 5,700 124,48010.0 217 58,917

179 1,376 686.. 0.9 26.8.. 1,696 736.. 91.7 72.3.. 5.5 16.9

0.6 3.9 1.6

344 656 3,0476.3 121.9 19.316 86 8892 90 8866 83 84

100 95 9461 88 4722 80 3673 93 66

27 28 27100 100 92

.. .. ..

.. .. ..70 26 59

.. 27.9 28.8

.. 10.0 8.2

.. 4.1 3.2

.. 12.4 2.9

.. 0.4 0.8

.. 0.2 0.8

.. 0.9 0.91.4 0.4 0.9

.. 8.1 17.5


DjiboutiCountry

data

Middle East &

N. Africa group




6,930 9,542 7,6046,696 7,878 6,164

69.0 79.0 61.8

35 38 44.. .. ..

8,127 4,576 1,1601,667 4,161 4,391

58.8 48.2 29.10.6 0.5 0.0

21.7 21.4 16.133

2011

0.49 11,967 93,7890.2 –0.1 1.6

.. 10.0 8.90.13 14.3 8.5

<100 14,860 52,0700.10 39,988 50,160

607 1,292 1,893.. 16.0 8.5.. 1,985 2,932.. 37.3 74.7.. 55.1 20.0

1.9 2.7 5.4

.. 22,124 6,910

.. 2.2 7.3

.. 71 7094 94 9392 82 8596 97 9881 81 7484 62 6280 86 82

18 8 47100 33 81

.. .. ..

.. .. ..11 18 20

–2.0 17.3 36.84.0 11.2 14.75.0 5.1 3.20.0 3.8 3.60.0 0.9 1.10.1 0.4 0.20.3 0.3 0.9

.. 0.1 0.3

.. 5.7 19.4


DominicaCountry

data


group


Population (thousands) 72 Land area (sq. km) 750 GDP ($ millions) 516.7


5,770 9,542 7,6045,294 7,878 6,164

77.1 79.0 61.8

52 38 44.. .. ..

7,802 4,576 1,1604,555 4,161 4,391

40.8 48.2 29.10.0 0.5 0.0

18.6 21.4 16.16

142240

14.2 11,967 93,789–1.7 –0.1 1.65.8 10.0 8.9

28.6 14.3 8.5610 14,860 52,070212 39,988 50,160

727 1,292 1,8938.9 16.0 8.5

893 1,985 2,93288.0 37.3 74.711.8 55.1 20.0

2.1 2.7 5.4

2,019 22,124 6,91026.1 2.2 7.3

72 71 7081 94 9377 82 8583 97 9882 81 7474 62 6286 86 82

9 8 4788 33 81

7 .. ..15 .. ..28 18 20

19.7 17.3 36.85.4 11.2 14.72.0 5.1 3.20.0 3.8 3.60.2 0.9 1.10.0 0.4 0.20.4 0.3 0.90.2 0.1 0.3

15.5 5.7 19.4


Dominican RepublicCountry

data


group




5,760 9,542 7,6044,625 7,878 6,164

63.3 79.0 61.8

30 38 4412.6 .. ..

4,184 4,576 1,1603,547 4,161 4,391

38.1 48.2 29.11.8 0.5 0.0

23.7 21.4 16.1458852

1,842

851 11,967 93,7892.6 –0.1 1.66.5 10.0 8.9

75.7 14.3 8.5<50 14,860 52,070

1,583 39,988 50,160

849 1,292 1,8935.4 16.0 8.5

1,192 1,985 2,93242.3 37.3 74.754.9 55.1 20.0

2.2 2.7 5.4

28,111 22,124 6,9102.2 2.2 7.381 71 7086 94 9375 82 8592 97 9883 81 7476 62 6287 86 82

6 8 4717 33 81

.. .. ..

.. .. ..23 18 20

27.6 17.3 36.813.2 11.2 14.7

4.1 5.1 3.28.1 3.8 3.60.1 0.9 1.10.4 0.4 0.20.4 0.3 0.90.0 0.1 0.39.5 5.7 19.4


EcuadorCountry

data


group




3,140 3,456 2,0742,777 2,654 1,768

43.0 60.1 38.8

4 23 46.. .. ..

2,470 .. 9327,253 2,561 3,079

0.1 2.4 27.0–1.7 –0.1 0.311.2 6.1 11.9

188

402

1,454 4,159 47,2301.5 3.0 2.5

13.3 12.6 10.313.1 2.7 11.3

3,800 5,700 124,4805.1 217 58,917

978 1,376 6862.1 0.9 26.8

1,743 1,696 73690.5 91.7 72.3

8.3 5.5 16.92.6 3.9 1.6

22 656 3,0473,794.4 121.9 19.3

86 86 8899 90 8899 83 84

100 95 9496 88 4794 80 3698 93 66

33 28 27100 100 92

8 .. ..9 .. ..

22 26 59

13.4 27.9 28.86.0 10.0 8.24.4 4.1 3.27.1 12.4 2.90.3 0.4 0.80.5 0.2 0.80.8 0.9 0.90.5 0.4 0.92.3 8.1 17.5


Egypt, Arab Rep.Country

data

Middle East & N.

Africagroup




3,720 9,542 2,0743,416 7,878 1,768

65.8 79.0 38.8

76 38 461.3 .. ..

3,489 4,576 9322,713 4,161 3,079

13.4 48.2 27.01.5 0.5 0.38.4 21.4 11.9

76

1429

56.7 11,967 47,2308.3 –0.1 2.57.4 10.0 10.39.5 14.3 11.3

.. 14,860 124,480252 39,988 58,917

690 1,292 68617.4 16.0 26.8830 1,985 73634.1 37.3 72.334.6 55.1 16.9

1.0 2.7 1.6

2,465 22,124 3,04713.6 2.2 19.3

68 71 8890 94 8881 82 8495 97 9471 81 4753 62 3680 86 66

5 8 2733 33 92

.. .. ..

.. .. ..16 18 59

9.4 17.3 28.85.8 11.2 8.23.2 5.1 3.20.0 3.8 2.90.0 0.9 0.81.7 0.4 0.80.3 0.3 0.90.2 0.1 0.94.7 5.7 17.5


El SalvadorCountry

data


group




14,320 39,8123,985 32,117

39.6 80.0

10 29.. .... 18,497.. 4,953

57.1 34.90.7 0.0

20.6 13.919

52969

8.6 37,3983.7 –1.9

.. 2.42.8 17.0

.. 82,210253 15,504

2,750 4,877.. 4.3.. 8,906.. 61.8.. 12.2

6.7 11.6

34,345 11,2690.1 7.2

6 43.. 99.. 98.. 100.. 96.. 93.. 97

7 1726 76

.. ..

.. ..96 6

.. 21.39.0 16.31.0 4.8

62.9 1.40.0 0.20.0 0.00.5 0.31.4 0.2

.. 7.7


Equatorial GuineaCountry

data

High-income group



490 1,686 728398 1,382 63721.8 36.7 30.0

75 44 39.. .. ..

106 673 332602 1,433 2,158

15.1 27.7 27.50.3 0.5 0.65.0 16.4 13.8101320

4

4.0 6,652 12,351.. 1.8 3.9.. 15.6 5.2.. .. ..

3,260 17,980 15,120102 27,808 25,817

129 681 35978.2 57.6 66.0

49 535 21999.4 65.1 30.9

0.0 20.0 45.50.1 0.8 0.3

442 4,120 4,87520.8 3.0 4.2

95 81 9060 64 6957 53 6174 85 8713 30 37

4 23 3352 41 46

25 17 19100 72 78

.. 5 6

.. 14 1450 92 76

.. 23.8 23.19.5 8.6 7.51.7 3.6 3.10.0 5.7 1.1

14.4 1.6 1.52.2 1.9 4.50.2 0.5 0.31.1 1.1 1.6

.. 6.7 9.2


EritreaCountry

data


Low-income group



17,780 39,81215,226 32,117

67.7 80.0

23 29.. ..

12,533 18,4973,123 4,953

51.8 34.90.1 0.0

20.9 13.91550

70.4 37,398–6.7 –1.9–1.1 2.427.5 17.0

.. 82,210

.. 15,504

4,221 4,87714.2 4.3

6,314 8,90690.2 61.8

0.2 12.213.8 11.6

9,643 11,26914.1 7.2

0 4399 9998 98

100 10095 9694 9396 97

7 170 76.. .... ..3 6

26.0 21.315.6 16.3

4.8 4.80.3 1.40.0 0.20.5 0.00.9 0.30.3 0.2

13.2 7.7


EstoniaCountry

data

High-income group



470 1,686 728393 1,382 63718.6 36.7 30.0

36 44 390.5 .. ..

269 673 3322,217 1,433 2,158

12.0 27.7 27.51.1 0.5 0.6

18.4 16.4 13.833251440

38.4 6,652 12,3519.3 1.8 3.91.0 15.6 5.2

.. .. ..

.. 17,980 15,120

.. 27,808 25,817

381 681 35992.9 57.6 66.0

52 535 2190.6 65.1 30.9

99.0 20.0 45.50.1 0.8 0.3

1,296 4,120 4,8754.6 3.0 4.294 81 9052 64 6942 53 6197 85 8724 30 3723 23 3327 41 46

15 17 1991 72 78

7 5 613 14 1464 92 76

31.2 23.8 23.17.9 8.6 7.52.9 3.6 3.10.0 5.7 1.10.8 1.6 1.5

13.2 1.9 4.50.2 0.5 0.31.2 1.1 1.69.7 6.7 9.2


EthiopiaCountry

data


Low-income group



.. 39,812

.. 32,11741.5 80.0

2 29.. .... 18,497.. 4,953

0.1 34.90.0 0.01.7 13.9

4180

563 37,3982.5 –1.97.9 2.4

0.76 17.0.. 82,210.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.214.3 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.314.0 16.3

.. 4.80.0 1.40.0 0.2

.. 0.00.3 0.3

.. 0.2

.. 7.7


Faeroe IslandsCountry

data

High-income group



4,370 5,536 7,6043,795 4,520 6,164

53.0 50.9 61.8

23 48 44.. .. ..

2,933 822 1,1602,443 5,184 4,391

55.9 29.7 29.1–0.3 –0.4 0.04.3 15.1 16.1

6141365

43.7 115,605 93,7891.1 3.4 1.6

–9.3 9.1 8.96.2 2.2 8.5

10,020 137,690 52,070425 56,537 50,160

627 1,671 1,893.. 10.1 8.5.. 2,582 2,932.. 80.9 74.7.. 14.5 20.0

1.5 4.9 5.4

32,404 4,376 6,9100.3 10.9 7.361 73 7096 91 9392 85 85

100 97 9887 67 7482 58 6292 76 82

5 55 470 92 81.. .. .... .. ..

24 20 20

10.5 47.9 36.89.8 16.6 14.74.3 2.2 3.20.0 2.2 3.61.6 1.2 1.10.0 0.1 0.20.4 1.1 0.91.3 0.4 0.3

.. 28.4 19.4


FijiCountry

data

East Asia & Pacific

group




48,820 39,81239,735 32,117

84.0 80.0

8 290.6 ..

61,591 18,4973,701 4,953

72.9 34.90.1 0.0

15.1 13.91662

181 37,3981.0 –1.9

–1.3 2.415.6 17.0

.. 82,210

.. 15,504

6,449 4,87723.3 4.3

15,738 8,90627.4 61.816.9 12.211.5 11.6

19,673 11,2691.5 7.2

3 43100 99100 98100 100100 96100 93100 97

5 170 76.. .... ..3 6

19.6 21.319.2 16.3

6.3 4.80.0 1.40.2 0.20.0 0.00.2 0.30.0 0.26.2 7.7


FinlandCountry

data

High-income group



43,520 39,81235,590 32,117

79.1 80.0

53 295.1 ..

75,052 18,4977,074 4,953

29.3 34.9–0.4 0.024.7 13.9

88

4632

765 37,398–0.9 –1.9–1.0 2.458.5 17.0

.. 82,210

.. 15,504

3,869 4,8775.6 4.3

7,292 8,9068.5 61.88.0 12.25.6 11.6

3,033 11,26915.8 7.2

12 43100 99100 98100 100100 96100 93100 97

14 1788 76

.. ..

.. ..4 6

19.8 21.317.8 16.3

5.1 4.80.0 1.40.0 0.20.0 0.00.1 0.30.1 0.26.8 7.7


FranceCountry

data

High-income group

Population (millions) 65.9 Land area (1,000 sq. km) 548 GDP ($ billions) 2,806.4


.. 39,812

.. 32,11756.1 80.0

12 29.. .... 18,497.. 4,953

45.1 34.9–4.0 0.02.0 13.9

0302747

16.7 37,3985.4 –1.9

16.0 2.40.08 17.0

6,000 82,210.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.23.3 11.6

.. 11,269

.. 7.2

.. 43100 99100 98100 100

97 9697 9397 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


French PolynesiaCountry

data

High-income group

Population (thousands) 277 Land area (1,000 sq. km) 3.7 GDP ($ millions) ..


10,650 1,686 7,6045,944 1,382 6,164

86.7 36.7 61.8

20 44 44.. .. ..

2,577 673 1,1601,691 1,433 4,391

85.4 27.7 29.10.0 0.5 0.0

19.9 16.4 16.115

462

121

33.2 6,652 93,7892.2 1.8 1.6

21.0 15.6 8.98.9 .. 8.5

.. 17,980 52,0701,598 27,808 50,160

1,253 681 1,89357.7 57.6 8.5907 535 2,93253.8 65.1 74.745.7 20.0 20.0

1.7 0.8 5.4

98,103 4,120 6,9100.1 3.0 7.329 81 7092 64 9363 53 8597 85 9841 30 7432 23 6243 41 82

6 17 4726 72 81

8 5 ..16 14 ..56 92 20

.. 23.8 36.814.5 8.6 14.7

3.1 3.6 3.228.0 5.7 3.6

0.0 1.6 1.10.0 1.9 0.20.2 0.5 0.90.4 1.1 0.3

.. 6.7 19.4


GabonCountry

data





500 1,686 728359 1,382 63758.4 36.7 30.0

60 44 39.. .. ..

267 673 332958 1,433 2,158

47.8 27.7 27.5–0.4 0.5 0.64.8 16.4 13.810

824

5

43.8 6,652 12,3513.1 1.8 3.9

–2.6 15.6 5.22.4 .. ..

.. 17,980 15,120581 27,808 25,817

87 681 359.. 57.6 66.0.. 535 219.. 65.1 30.9.. 20.0 45.5

0.3 0.8 0.3

1,622 4,120 4,8753.0 3.0 4.243 81 9090 64 6984 53 6194 85 8760 30 3755 23 3364 41 46

36 17 19100 72 78

.. 5 6

.. 14 1474 92 76

26.6 23.8 23.117.5 8.6 7.5

2.5 3.6 3.10.0 5.7 1.10.0 1.6 1.56.8 1.9 4.50.6 0.5 0.32.4 1.1 1.62.1 6.7 9.2


Gambia, TheCountry

data


Low-income group

Population (millions) 1.8 Land area (1,000 sq. km) 10 GDP ($ millions) 903.5


3,560 7,114 2,0743,130 6,243 1,768

53.3 60.1 38.8

35 66 464.0 .. ..

2,861 5,070 9322,206 3,136 3,079

39.4 10.5 27.00.1 –0.5 0.33.9 5.1 11.910101060

12.7 1,036 47,230–9.0 –3.9 2.50.3 2.0 10.3

0.89 .. 11.3.. .. 124,480.. .. 58,917

790 2,080 6868.9 2.9 26.8

1,918 2,954 73622.6 65.8 72.377.4 17.9 16.9

1.4 5.3 1.6

12,955 2,710 3,0473.1 31.6 19.358 67 8899 95 8897 89 84

100 99 9493 94 4791 90 3696 97 66

12 17 2766 91 92

.. .. ..

.. .. ..13 23 59

19.4 18.6 28.810.7 8.9 8.2

1.8 3.6 3.20.1 3.6 2.90.4 0.7 0.80.1 0.0 0.80.5 0.8 0.90.8 0.6 0.98.6 7.5 17.5


GeorgiaCountry

data

Europe & Central

Asia group




47,250 39,81239,147 32,117

74.9 80.0

48 292.2 ..

35,218 18,4977,318 4,953

31.8 34.90.0 0.0

48.0 13.957

2317

255 37,398–1.5 –1.9–4.0 2.464.5 17.0

.. 82,210

.. 15,504

3,811 4,8778.5 4.3

7,081 8,90660.1 61.8

2.9 12.29.1 11.6

1,327 11,26930.2 7.2

0 43100 99100 98100 100100 96100 93100 97

16 17100 76

.. ..

.. ..4 6

25.2 21.317.4 16.3

4.8 4.80.1 1.40.0 0.20.0 0.00.2 0.30.2 0.2

12.1 7.7


GermanyCountry

data

High-income group



1,770 1,686 2,0741,483 1,382 1,768

52.7 36.7 38.8

69 44 460.2 .. ..

.. 673 9321,689 1,433 3,079

20.7 27.7 27.02.1 0.5 0.3

15.1 16.4 11.9161644

117

330 6,652 47,230–1.2 1.8 2.521.6 15.6 10.3

1.7 .. 11.3.. 17,980 124,480

137 27,808 58,917

425 681 68657.0 57.6 26.8344 535 73624.3 65.1 72.367.5 20.0 16.9

0.4 0.8 1.6

1,170 4,120 3,0473.2 3.0 19.366 81 8887 64 8881 53 8493 85 9414 30 47

8 23 3620 41 66

18 17 2798 72 92

6 5 ..20 14 ..78 92 59

21.2 23.8 28.85.7 8.6 8.28.2 3.6 3.22.9 5.7 2.93.9 1.6 0.85.7 1.9 0.80.3 0.5 0.91.1 1.1 0.99.8 6.7 17.5


GhanaCountry

data





22,690 39,81217,792 32,117

77.3 80.0

63 2916.9 ..

13,263 18,4974,481 4,953

30.7 34.9–0.8 0.034.7 13.9

10117658

209 37,398–3.1 –1.912.6 2.4

6.3 17.0.. 82,210.. 15,504

2,402 4,8774.7 4.3

5,380 8,90686.0 61.8

6.8 12.27.8 11.6

5,260 11,26916.3 7.2

89 43100 99

99 98100 100

99 9698 9399 97

17 17100 76

.. ..

.. ..4 6

11.2 21.318.9 16.3

3.2 4.80.0 1.40.1 0.20.0 0.00.3 0.30.2 0.2

–5.1 7.7


GreeceCountry

data

High-income group



26,020 39,812.. 32,117

85.6 80.0

1 29.. .... 18,497.. 4,953

0.0 34.90.0 0.0

41.1 13.97171

275 37,3982.9 –1.9

.. 2.436.7 17.0

.. 82,210

.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.211.1 11.6

.. 11,269

.. 7.2

.. 43100 99100 98100 100100 96100 93100 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.311.8 16.3

.. 4.80.0 1.40.0 0.2

.. 0.00.4 0.3

.. 0.2

.. 7.7


GreenlandCountry

data

High-income group

Population (thousands) 56 Land area (1,000 sq. km) 410 GDP ($ billions) 1.3b


7,490 9,542 7,604.. 7,878 6,164

35.6 79.0 61.8

32 38 442.0 .. ..

3,881 4,576 1,1601,000 4,161 4,391

50.0 48.2 29.10.0 0.5 0.02.2 21.4 16.1

31

203

2.7 11,967 93,7891.5 –0.1 1.6

.. 10.0 8.90.09 14.3 8.5150 14,860 52,0701.4 39,988 50,160

782 1,292 1,893.. 16.0 8.5.. 1,985 2,932.. 37.3 74.7.. 55.1 20.0

2.5 2.7 5.4

.. 22,124 6,910

.. 2.2 7.3

.. 71 7097 94 9395 82 8599 97 9898 81 7498 62 6298 86 82

15 8 47100 33 81

.. .. ..

.. .. ..12 18 20

–6.1 17.3 36.810.4 11.2 14.7

3.7 5.1 3.20.0 3.8 3.60.0 0.9 1.1

.. 0.4 0.20.3 0.3 0.90.0 0.1 0.3

.. 5.7 19.4


GrenadaCountry

data

Latin America & Carbbean

group




.. 39,812

.. 32,11794.4 80.0

33 29.. .... 18,497

2,500 4,953

47.9 34.90.0 0.0

26.8 13.92

1394

0.94 37,3982.5 –1.9

–2.8 2.42.6 17.0

220 82,2100.97 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 43100 99100 98100 100

90 9690 9390 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


GuamCountry

data

High-income group



3,340 9,542 2,0743,062 7,878 1,768

50.7 79.0 38.8

41 38 46.. .. ..

1,983 4,576 9322,018 4,161 3,079

33.1 48.2 27.01.4 0.5 0.3

30.9 21.4 11.917142694

38.8 11,967 47,2305.1 –0.1 2.5

13.6 10.0 10.313.0 14.3 11.3

.. 14,860 124,480177 39,988 58,917

691 1,292 68662.2 16.0 26.8539 1,985 73633.1 37.3 72.339.8 55.1 16.9

0.8 2.7 1.6

7,060 22,124 3,0473.0 2.2 19.357 71 8894 94 8889 82 8499 97 9480 81 4772 62 3688 86 66

12 8 2784 33 92

.. .. ..

.. .. ..31 18 59

12.0 17.3 28.86.3 11.2 8.22.9 5.1 3.20.3 3.8 2.90.7 0.9 0.82.5 0.4 0.80.2 0.3 0.90.7 0.1 0.94.1 5.7 17.5


GuatemalaCountry

data


group




460 1,686 728334 1,382 63736.2 36.7 30.0

59 44 39.. .. ..

221 673 3321,512 1,433 2,158

26.3 27.7 27.50.5 0.5 0.6

28.1 16.4 13.821156732

127 6,652 12,3514.7 1.8 3.9

27.1 15.6 5.24.2 .. ..

.. 17,980 15,1202,033 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

19,242 4,120 4,8750.2 3.0 4.253 81 9075 64 6965 53 6192 85 8719 30 3711 23 3333 41 46

22 17 19100 72 78

6 5 616 14 14

101 92 76

–18.4 23.8 23.19.8 8.6 7.52.6 3.6 3.10.0 5.7 1.17.1 1.6 1.5

14.2 1.9 4.50.2 0.5 0.32.8 1.1 1.6

–49.9 6.7 9.2


GuineaCountry

data


Low-income group



590 1,686 728434 1,382 63747.7 36.7 30.0

58 44 39.. .. ..

645 673 3321,330 1,433 2,158

71.2 27.7 27.50.5 0.5 0.6

16.3 16.4 13.812

731

5

6.6 6,652 12,3510.8 1.8 3.9

.. 15.6 5.245.9 .. ..

.. 17,980 15,1202,982 27,808 25,817

64 681 359.. 57.6 66.0.. 535 219.. 65.1 30.9.. 20.0 45.5

0.2 0.8 0.3

9,388 4,120 4,8751.1 3.0 4.282 81 9074 64 6956 53 6196 85 8720 30 37

9 23 3334 41 46

31 17 19100 72 78

.. 5 6

.. 14 14124 92 76

.. 23.8 23.17.9 8.6 7.52.3 3.6 3.10.0 5.7 1.10.0 1.6 1.5

15.0 1.9 4.50.3 0.5 0.32.1 1.1 1.6

.. 6.7 9.2


Guinea-BissauCountry

data


Low-income group

Population (millions) 1.7 Land area (1,000 sq. km) 28 GDP ($ millions) 960.8


3,750 9,542 2,0743,371 7,878 1,768

28.4 79.0 38.8

9 38 46.. .. ..

5,712 4,576 9324,927 4,161 3,079

77.2 48.2 27.00.0 0.5 0.35.2 21.4 11.911112823

49.5 11,967 47,2301.3 –0.1 2.56.7 10.0 10.3

.. 14.3 11.3

.. 14,860 124,480396 39,988 58,917

649 1,292 686.. 16.0 26.8.. 1,985 736.. 37.3 72.3.. 55.1 16.9

2.2 2.7 1.6

301,396 22,124 3,0470.6 2.2 19.394 71 8898 94 8898 82 8497 97 9484 81 4782 62 3688 86 66

6 8 2722 33 92

5 .. ..10 .. ..37 18 59

11.1 17.3 28.82.3 11.2 8.23.0 5.1 3.20.0 3.8 2.98.4 0.9 0.80.0 0.4 0.80.7 0.3 0.90.3 0.1 0.90.1 5.7 17.5


GuyanaCountry

data


group




810 9,542 728781 7,878 63756.2 79.0 30.0

64 38 395.4 .. ..

.. 4,576 3321,060 4,161 2,158

3.6 48.2 27.50.8 0.5 0.60.3 21.4 13.8

5142138

17.2 11,967 12,3515.2 –0.1 3.9

.. 10.0 5.2

.. 14.3 ..450 14,860 15,120136 39,988 25,817

320 1,292 35977.7 16.0 66.0

32 1,985 21979.0 37.3 30.916.7 55.1 45.5

0.2 2.7 0.3

1,261 22,124 4,8759.2 2.2 4.278 71 9062 94 6948 82 6175 97 8724 81 3716 62 3331 86 46

11 8 1981 33 7814 .. 621 .. 1473 18 76

22.9 17.3 23.13.5 11.2 7.51.5 5.1 3.10.0 3.8 1.10.0 0.9 1.51.9 0.4 4.50.3 0.3 0.31.1 0.1 1.6

17.5 5.7 9.2


HaitiCountry

data


group

Low-income group



2,180 9,542 2,0741,953 7,878 1,768

53.5 79.0 38.8

29 38 46.. .. ..

2,571 4,576 9321,634 4,161 3,079

44.3 48.2 27.02.1 0.5 0.3

21.1 21.4 11.98

1230

119

79.0 11,967 47,230–2.7 –0.1 2.514.1 10.0 10.3

2.7 14.3 11.3810 14,860 124,480628 39,988 58,917

609 1,292 68643.7 16.0 26.8708 1,985 73656.5 37.3 72.339.5 55.1 16.9

1.1 2.7 1.6

11,196 22,124 3,0471.8 2.2 19.373 71 8890 94 8882 82 8497 97 9480 81 4774 62 3685 86 66

7 8 2740 33 9213 .. ..18 .. ..22 18 59

14.4 17.3 28.85.4 11.2 8.23.5 5.1 3.20.0 3.8 2.90.5 0.9 0.82.3 0.4 0.80.5 0.3 0.90.6 0.1 0.98.6 5.7 17.5


HondurasCountry

data


group




38,420 39,812.. 32,117

100.0 80.0

5 29.. .... 18,497.. 4,953

.. 34.9

.. 0.041.9 13.9

11913

6

174 37,398–1.2 –1.9–4.3 2.4

.. 17.0

.. 82,210

.. 15,504

2,106 4,8770.4 4.3

5,949 8,906100.0 61.8

0.0 12.25.2 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

25.1 21.317.1 16.3

2.8 4.80.0 1.40.0 0.2

.. 0.00.1 0.3

.. 0.2

.. 7.7


Hong Kong SAR, ChinaCountry

data

High-income group



13,260 7,114 7,60410,642 6,243 6,164

70.3 60.1 61.8

59 66 442.2 .. ..

11,505 5,070 1,1604,813 3,136 4,391

22.6 10.5 29.1–0.6 –0.5 0.023.1 5.1 16.1

210

99

21.4 1,036 93,789–3.9 –3.9 1.6–0.7 2.0 8.9

.. .. 8.5

.. .. 52,070

.. .. 50,160

2,503 2,080 1,8937.2 2.9 8.5

3,895 2,954 2,93248.5 65.8 74.7

0.6 17.9 20.05.1 5.3 5.4

606 2,710 6,91093.1 31.6 7.3

5 67 70100 95 93100 89 85100 99 98100 94 74100 90 62100 97 82

16 17 47100 91 81

.. .. ..

.. .. ..6 23 20

24.6 18.6 36.818.3 8.9 14.7

4.5 3.6 3.20.4 3.6 3.60.0 0.7 1.10.0 0.0 0.20.4 0.8 0.91.0 0.6 0.39.0 7.5 19.4


HungaryCountry

data

Europe & Central

Asia group




46,290 39,81238,683 32,117

93.9 80.0

19 29.. ..

72,561 18,497.. 4,953

0.3 34.9–5.0 0.019.9 13.9

61

120

1,391 37,398–0.4 –1.94.1 2.43.9 17.0

.. 82,210

.. 15,504

17,964 4,8770.0 4.3

52,374 8,9060.0 61.8

72.7 12.26.2 11.6

525,074 11,2690.1 7.242 43

100 99100 98100 100100 96100 93100 97

6 1719 76

.. ..

.. ..2 6

20.8 21.316.8 16.3

8.6 4.80.0 1.40.0 0.20.0 0.00.1 0.30.3 0.2

12.2 7.7


IcelandCountry

data

High-income group



1,570 1,483 2,0741,286 1,246 1,768

32.0 32.2 38.8

60 55 4635.2 .. ..688 685 932

2,962 3,045 3,079

23.1 17.2 27.0–0.5 –0.3 0.35.2 6.1 11.99473

213332

9,199 13,951 47,2302.1 2.4 2.56.7 7.6 10.31.6 2.4 11.3

5,790 15,440 124,4804,326 10,343 58,917

614 555 68624.7 26.7 26.8684 605 73679.4 77.9 72.312.4 13.8 16.9

1.7 1.4 1.6

1,155 1,186 3,04752.6 51.6 19.3

90 91 8893 91 8891 89 8497 95 9436 40 4725 30 3660 61 66

32 32 27100 100 92

.. .. ..

.. .. ..53 57 59

32.2 30.6 28.89.9 9.1 8.23.1 2.8 3.21.4 1.5 2.90.5 0.4 0.81.2 1.2 0.81.3 1.2 0.91.1 1.2 0.9

19.8 19.0 17.5


IndiaCountry

data

SouthAsia

group


Population (millions) 1,252.1 Land area (1,000 sq. km) 2,973 GDP ($ billions) 1,875.1


3,580 5,536 2,0743,064 4,520 1,768

52.3 50.9 38.8

31 48 46.. .. ..

1,018 822 9325,085 5,184 3,079

51.4 29.7 27.00.5 –0.4 0.3

14.7 15.1 11.9184113145408

19,267 115,605 47,2303.7 3.4 2.5

14.4 9.1 10.35.8 2.2 11.3

51,020 137,690 124,48031,894 56,537 58,917

857 1,671 68625.4 10.1 26.8680 2,582 73687.9 80.9 72.3

6.8 14.5 16.91.8 4.9 1.6

8,080 4,376 3,0475.6 10.9 19.382 73 8885 91 8876 85 8493 97 9459 67 4746 58 3671 76 66

14 55 2780 92 92

5 .. ..14 .. ..29 20 59

29.9 47.9 28.85.2 16.6 8.23.2 2.2 3.23.0 2.2 2.90.6 1.2 0.80.2 0.1 0.80.6 1.1 0.90.6 0.4 0.9

22.9 28.4 17.5


IndonesiaCountry

data

East Asia & Pacific

group




5,780 3,456 7,6043,471 2,654 6,164

72.3 60.1 61.8

30 23 4419.0 .. ..

.. .. 1,1602,346 2,561 4,391

6.8 2.4 29.10.0 –0.1 0.07.2 6.1 16.1171737

3

885 4,159 93,7893.7 3.0 1.6

11.4 12.6 8.92.2 2.7 8.5

700 5,700 52,070192 217 50,160

2,813 1,376 1,8930.1 0.9 8.5

2,649 1,696 2,93294.7 91.7 74.7

5.0 5.5 20.07.7 3.9 5.4

1,659 656 6,91072.6 121.9 7.3

92 86 7096 90 9392 83 8598 95 9889 88 7482 80 6293 93 82

30 28 47100 100 81

.. .. ..

.. .. ..17 26 20

.. 27.9 36.89.6 10.0 14.73.2 4.1 3.2

16.9 12.4 3.60.7 0.4 1.10.0 0.2 0.21.6 0.9 0.9

.. 0.4 0.3

.. 8.1 19.4


Iran, Islamic Rep.Country

data

Middle East &

N. Africagroup




6,720 3,456 7,6044,614 2,654 6,164

69.3 60.1 61.8

18 23 44.. .. ..

7,008 .. 1,1602,197 2,561 4,391

1.9 2.4 29.1–0.1 –0.1 0.00.4 6.1 16.1141417

1

70.9 4,159 93,7894.1 3.0 1.69.9 12.6 8.9

0.00 2.7 8.5.. 5,700 52,070.. 217 50,160

1,266 1,376 1,8930.1 0.9 8.5

1,343 1,696 2,93274.9 91.7 74.7

7.6 5.5 20.03.7 3.9 5.4

1,053 656 6,910187.5 121.9 7.3

79 86 7085 90 9369 83 8594 95 9885 88 7482 80 6286 93 82

30 28 47100 100 81

.. .. ..

.. .. ..34 26 20

30.3 27.9 36.813.2 10.0 14.7

4.6 4.1 3.219.5 12.4 3.6

0.0 0.4 1.10.0 0.2 0.20.6 0.9 0.90.4 0.4 0.30.6 8.1 19.4


IraqCountry

data

Middle East &

N. Africagroup




43,090 39,81237,364 32,117

62.7 80.0

66 29.. ..

7,881 18,4977,803 4,953

11.0 34.9–1.5 0.014.3 13.9

53

211

310 37,3980.5 –1.91.1 2.4

10.2 17.0.. 82,210.. 15,504

2,888 4,8772.9 4.3

5,701 8,90672.3 61.8

2.6 12.28.8 11.6

10,658 11,2691.6 7.210 43

100 99100 98100 100

99 9698 93

100 97

9 1730 76

.. ..

.. ..4 6

24.4 21.312.9 16.3

7.1 4.80.0 1.40.1 0.20.0 0.00.2 0.30.1 0.2

18.2 7.7


IrelandCountry

data

High-income group



.. 39,812

.. 32,11752.1 80.0

67 29.. .... 18,497.. 4,953

6.1 34.90.0 0.0

.. 13.91020

5.7 37,3981.5 –1.9

.. 2.4

.. 17.0

.. 82,210

.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


Isle of ManCountry

data

High-income group



33,930 39,81230,505 32,117

92.0 80.0

24 2931.8 ..

.. 18,4973,797 4,953

7.1 34.9–0.1 0.017.4 13.9

151237

0

25.0 37,398–4.8 –1.91.8 2.4

0.45 17.0<10 82,210

.. 15,504

2,994 4,8770.1 4.3

6,926 8,90699.4 61.8

0.0 12.29.3 11.6

93 11,269260.5 7.2

58 43100 99100 98100 100100 96100 93100 97

26 17100 76

.. ..

.. ..4 6

22.4 21.313.3 16.3

5.4 4.80.2 1.40.1 0.20.0 0.00.3 0.30.1 0.2

13.9 7.7


IsraelCountry

data

High-income group



35,620 39,81229,009 32,117

68.7 80.0

47 2916.9 ..

50,466 18,4975,229 4,953

31.6 34.9–0.9 0.021.6 13.9

79

4766

341 37,398–3.2 –1.90.2 2.4

19.9 17.0.. 82,210.. 15,504

2,819 4,8776.1 4.3

5,515 8,90671.4 61.815.2 12.2

6.9 11.6

3,030 11,26924.9 7.2

44 43100 99100 98100 100

.. 96

.. 93

.. 97

19 1797 76

.. ..

.. ..4 6

19.0 21.318.5 16.3

4.1 4.80.1 1.40.0 0.20.0 0.00.2 0.30.2 0.24.2 7.7


ItalyCountry

data

High-income group



5,220 9,542 7,6044,601 7,878 6,164

54.3 79.0 61.8

41 38 44.. .. ..

3,659 4,576 1,1601,204 4,161 4,391

31.0 48.2 29.10.1 0.5 0.0

15.9 21.4 16.15

1022

212

25.8 11,967 93,7892.7 –0.1 1.6

–5.9 10.0 8.94.6 14.3 8.5

1,240 14,860 52,07097.5 39,988 50,160

1,135 1,292 1,89317.2 16.0 8.5

1,553 1,985 2,93291.8 37.3 74.7

2.0 55.1 20.02.7 2.7 5.4

3,464 22,124 6,9109.9 2.2 7.375 71 7093 94 9389 82 8597 97 9880 81 7482 62 6278 86 82

12 8 4769 33 81

.. .. ..

.. .. ..17 18 20

8.9 17.3 36.88.1 11.2 14.76.3 5.1 3.20.0 3.8 3.60.5 0.9 1.10.4 0.4 0.20.5 0.3 0.90.2 0.1 0.3

10.2 5.7 19.4


JamaicaCountry

data


group




46,330 39,81231,635 32,117

92.5 80.0

12 2934.7 ..

46,045 18,4976,105 4,953

68.6 34.90.0 0.0

16.5 13.927356720

4,769 37,398–4.1 –1.9–1.2 2.45.6 17.0

2,900 82,2107.4 15,504

3,610 4,8772.3 4.3

7,848 8,90672.9 61.8

8.0 12.29.1 11.6

3,377 11,26920.9 7.2

63 43100 99100 98100 100100 96100 93100 97

22 1797 76

.. ..

.. ..3 6

21.0 21.321.0 16.3

3.3 4.80.0 1.40.0 0.20.0 0.00.2 0.30.1 0.22.9 7.7


JapanCountry

data

High-income group



4,950 3,456 7,6044,674 2,654 6,164

83.2 60.1 61.8

12 23 449.2 .. ..

4,424 .. 1,1601,678 2,561 4,391

1.1 2.4 29.10.0 –0.1 0.01.9 6.1 16.113

812

1

1.2 4,159 93,7892.5 3.0 1.6

10.5 12.6 8.930.0 2.7 8.5<50 5,700 52,070

.. 217 50,160

1,143 1,376 1,8930.1 0.9 8.5

2,289 1,696 2,93299.5 91.7 74.7

0.4 5.5 20.03.4 3.9 5.4

106 656 6,910138.0 121.9 7.3

65 86 7096 90 9391 83 8597 95 9898 88 7498 80 6298 93 82

29 28 47100 100 81

7 .. ..16 .. ..19 26 20

18.2 27.9 36.88.5 10.0 14.74.2 4.1 3.20.0 12.4 3.60.8 0.4 1.10.1 0.2 0.20.7 0.9 0.90.3 0.4 0.3

12.0 8.1 19.4


JordanCountry

data

Middle East &

N. Africa group




11,550 7,114 7,6048,478 6,243 6,164

53.4 60.1 61.8

77 66 44.. .. ..

3,973 5,070 1,1601,164 3,136 4,391

1.2 10.5 29.10.2 –0.5 0.03.3 5.1 16.116171515

35.5 1,036 93,789–3.4 –3.9 1.6

–10.1 2.0 8.9.. .. 8.5.. .. 52,070.. .. 50,160

4,717 2,080 1,8930.1 2.9 8.5

4,893 2,954 2,93290.9 65.8 74.7

9.1 17.9 20.015.2 5.3 5.4

3,777 2,710 6,91032.9 31.6 7.3

66 67 7093 95 9386 89 8599 99 9898 94 7498 90 6297 97 82

13 17 4756 91 81

.. .. ..

.. .. ..16 23 20

26.8 18.6 36.814.1 8.9 14.7

3.1 3.6 3.213.9 3.6 3.6

2.1 0.7 1.10.0 0.0 0.21.5 0.8 0.90.5 0.6 0.3

–2.1 7.5 19.4


KazakhstanCountry

data

Europe & Central

Asia group




1,160 1,686 7281,122 1,382 637

24.8 36.7 30.0

48 44 390.0 .. ..

390 673 3321,727 1,433 2,158

6.1 27.7 27.50.3 0.5 0.6

11.6 16.4 13.8293369

187

187 6,652 12,351–0.9 1.8 3.913.7 15.6 5.210.5 .. ..630 17,980 15,120610 27,808 25,817

480 681 35972.4 57.6 66.0155 535 21932.7 65.1 30.944.0 20.0 45.5

0.3 0.8 0.3

467 4,120 4,87513.2 3.0 4.2

79 81 9062 64 6955 53 6182 85 8730 30 3729 23 3331 41 46

6 17 1918 72 78

8 5 617 14 1471 92 76

11.3 23.8 23.16.1 8.6 7.55.9 3.6 3.10.0 5.7 1.10.2 1.6 1.53.1 1.9 4.50.3 0.5 0.31.4 1.1 1.65.6 6.7 9.2


KenyaCountry

data


Low-income group



2,620 5,536 2,0742,352 4,520 1,768

44.1 50.9 38.8

42 48 46.. .. ..

2,382 822 932.. 5,184 3,079

15.0 29.7 27.00.0 –0.4 0.3

22.0 15.1 11.915

110

95.6 115,605 47,2305.6 3.4 2.5

–3.5 9.1 10.320.2 2.2 11.3

2,940 137,690 124,4802.6 56,537 58,917

118 1,671 686.. 10.1 26.8.. 2,582 736.. 80.9 72.3.. 14.5 16.9

0.6 4.9 1.6

.. 4,376 3,047

.. 10.9 19.3

.. 73 8867 91 8851 85 8487 97 9440 67 4731 58 3651 76 66

6 55 270 92 92.. .. .... .. ..

58 20 59

.. 47.9 28.84.7 16.6 8.26.1 2.2 3.20.0 2.2 2.90.0 1.2 0.80.1 0.1 0.80.3 1.1 0.9

.. 0.4 0.9

.. 28.4 17.5


KiribatiCountry

data

East Asia & Pacific

group




.. 5,536 728

.. 4,520 63760.6 50.9 30.0

22 48 39.. .. .... 822 332

4,006 5,184 2,158

45.0 29.7 27.52.0 –0.4 0.62.3 15.1 13.8

92314

8

723 115,605 12,351–3.4 3.4 3.9–2.5 9.1 5.20.11 2.2 ..

.. 137,690 15,120

.. 56,537 25,817

773 1,671 3595.6 10.1 66.0

739 2,582 21939.0 80.9 30.961.0 14.5 45.5

2.9 4.9 0.3

2,691 4,376 4,87512.9 10.9 4.2

76 73 9098 91 6997 85 6199 97 8782 67 3773 58 3388 76 46

32 55 19100 92 78

.. .. 6

.. .. 1427 20 76

.. 47.9 23.1

.. 16.6 7.5

.. 2.2 3.1

.. 2.2 1.1

.. 1.2 1.5

.. 0.1 4.5

.. 1.1 0.33.1 0.4 1.6

.. 28.4 9.2


Korea, Dem. People’s Rep.Country

data

East Asia & Pacific

group

Low-income group

Population (millions) 24.9 Land area (1,000 sq. km) 120 GDP ($ billions) ..


25,920 39,81221,125 32,117

82.2 80.0

18 2951.6 ..

27,097 18,4976,489 4,953

63.8 34.90.1 0.06.3 13.9

92619

7

3,140 37,398–1.9 –1.92.9 2.43.9 17.0

.. 82,210

.. 15,504

5,232 4,8771.5 4.3

10,162 8,90668.6 61.8

0.9 12.211.5 11.6

1,291 11,26939.3 7.2

62 4398 9988 98

100 100100 96100 93100 97

38 17100 76

.. ..

.. ..4 6

34.3 21.319.4 16.3

4.7 4.80.0 1.40.0 0.20.0 0.00.5 0.30.2 0.2

19.0 7.7


Korea, Rep.Country

data

High-income group



3,940 7,114 2,074.. 6,243 1,768.. 60.1 38.8

52 66 46.. .. .... 5,070 932.. 3,136 3,079

.. 10.5 27.0

.. –0.5 0.3

.. 5.1 11.9

..

..

..

..

.. 1,036 47,230

.. –3.9 2.5

.. 2.0 10.3

.. .. 11.3

.. .. 124,480

.. .. 58,917

1,411 2,080 6869.6 2.9 26.8

2,947 2,954 73698.2 65.8 72.3

1.8 17.9 16.9.. 5.3 1.6

.. 2,710 3,047

.. 31.6 19.3

.. 67 88

.. 95 88

.. 89 84

.. 99 94

.. 94 47

.. 90 36

.. 97 66

.. 17 27

.. 91 92

.. .. ..

.. .. ..

.. 23 59

20.8 18.6 28.811.3 8.9 8.2

.. 3.6 3.20.2 3.6 2.90.7 0.7 0.8

.. 0.0 0.8

.. 0.8 0.9

.. 0.6 0.9

.. 7.5 17.5


KosovoCountry

data

Europe & Central

Asiagroup




45,130 39,81236,452 32,117

98.3 80.0

9 29.. .... 18,497

8,500 4,953

0.4 34.9–2.6 0.018.4 13.9

66

110

4.9 37,3980.2 –1.9

.. 2.40.17 17.0110 82,2100.05 15,504

10,408 4,8770.0 4.3

16,122 8,906100.0 61.8

0.0 12.231.3 11.6

0 11,269.. 7.2

54 4399 9999 9899 100

100 96100 93100 97

50 17100 76

.. ..

.. ..10 6

54.5 21.35.9 16.33.2 4.8

25.1 1.40.0 0.20.0 0.00.6 0.30.2 0.2

25.9 7.7


KuwaitCountry

data

High-income group



1,210 7,114 2,074980 6,243 1,76835.5 60.1 38.8

55 66 469.4 .. ..

1,419 5,070 9322,904 3,136 3,079

5.1 10.5 27.0–1.1 –0.5 0.36.3 5.1 11.9

693

14

0.33 1,036 47,230–10.3 –3.9 2.5

–5.0 2.0 10.3.. .. 11.3.. .. 124,480.. .. 58,917

562 2,080 6860.1 2.9 26.8

1,642 2,954 7366.7 65.8 72.3

93.3 17.9 16.91.2 5.3 1.6

8,555 2,710 3,04716.4 31.6 19.3

93 67 8888 95 8882 89 8497 99 9492 94 4792 90 3692 97 66

16 17 2790 91 92

1 .. ..5 .. ..

24 23 59

13.0 18.6 28.811.7 8.9 8.2

7.0 3.6 3.20.5 3.6 2.97.0 0.7 0.80.0 0.0 0.81.1 0.8 0.91.6 0.6 0.9

–1.9 7.5 17.5


Kyrgyz RepublicCountry

data

Europe & Central

Asia group




1,450 5,536 2,0741,225 4,520 1,768

36.5 50.9 38.8

11 48 46.. .. ..

495 822 9324,150 5,184 3,079

67.6 29.7 27.00.5 –0.4 0.3

16.7 15.1 11.943225532

142 115,605 47,2302.8 3.4 2.5

10.9 9.1 10.3.. 2.2 11.3.. 137,690 124,480.. 56,537 58,917

.. 1,671 686

.. 10.1 26.8

.. 2,582 736

.. 80.9 72.3

.. 14.5 16.90.3 4.9 1.6

28,125 4,376 3,0471.8 10.9 19.391 73 8872 91 8865 85 8484 97 9465 67 4751 58 3690 76 66

22 55 27100 92 92

.. .. ..

.. .. ..71 20 59

17.7 47.9 28.813.6 16.6 8.2

1.1 2.2 3.20.0 2.2 2.95.7 1.2 0.82.5 0.1 0.80.2 1.1 0.91.1 0.4 0.9

–4.4 28.4 17.5


Lao PDRCountry

data

East Asia & Pacific

group




15,290 39,81213,010 32,117

67.5 80.0

30 290.1 ..

5,467 18,4973,374 4,953

54.3 34.9–0.3 0.018.6 13.9

1660

117 37,398–5.8 –1.9–5.3 2.411.5 17.0

.. 82,210

.. 15,504

2,122 4,87728.0 4.3

3,264 8,90649.5 61.847.4 12.2

3.6 11.6

8,317 11,2692.5 7.213 4398 9996 98

100 10079 9671 9382 97

9 170 76.. .... ..8 6

25.7 21.314.2 16.3

4.3 4.80.0 1.40.0 0.21.0 0.00.3 0.30.4 0.2

12.7 7.7


LatviaCountry

data

High-income group



9,870 3,456 7,6048,506 2,654 6,164

87.5 60.1 61.8

72 23 4420.2 .. ..

39,595 .. 1,1603,382 2,561 4,391

13.4 2.4 29.1–0.4 –0.1 0.00.6 6.1 16.110

820

2

5.1 4,159 93,7894.4 3.0 1.6

12.8 12.6 8.90.24 2.7 8.5

.. 5,700 52,070

.. 217 50,160

1,449 1,376 1,8932.0 0.9 8.5

3,499 1,696 2,93295.1 91.7 74.7

4.9 5.5 20.04.7 3.9 5.4

1,074 656 6,91027.3 121.9 7.3

60 86 70100 90 93100 83 85100 95 98

.. 88 74

.. 80 62100 93 82

24 28 47100 100 81

.. .. ..

.. .. ..9 26 20

20.4 27.9 36.815.4 10.0 14.7

1.8 4.1 3.20.0 12.4 3.60.0 0.4 1.10.0 0.2 0.20.5 0.9 0.90.2 0.4 0.36.0 8.1 19.4


LebanonCountry

data

Middle East &

N. Africa group




1,500 1,686 2,0741,205 1,382 1,768

26.3 36.7 38.8

75 44 460.0 .. ..

346 673 932810 1,433 3,079

1.5 27.7 27.0–0.5 0.5 0.30.5 16.4 11.9

2614

0.55 6,652 47,2307.2 1.8 2.5

15.0 15.6 10.3.. .. 11.3.. 17,980 124,480.. 27,808 58,917

10 681 686.. 57.6 26.8.. 535 736.. 65.1 72.3.. 20.0 16.9

0.0 0.8 1.6

2,521 4,120 3,0470.8 3.0 19.3

9 81 8881 64 8877 53 8493 85 9430 30 4727 23 3637 41 66

6 17 279 72 926 5 ..

11 14 ..98 92 59

29.7 23.8 28.88.2 8.6 8.29.8 3.6 3.20.0 5.7 2.90.0 1.6 0.84.5 1.9 0.80.0 0.5 0.92.1 1.1 0.96.6 6.7 17.5


LesothoCountry

data





410 1,686 728229 1,382 63748.9 36.7 30.0

28 44 39.. .. ..

700 673 3321,035 1,433 2,158

44.3 27.7 27.50.7 0.5 0.62.5 16.4 13.818135448

9.5 6,652 12,3511.7 1.8 3.9

.. 15.6 5.21.8 .. ..

.. 17,980 15,120109 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.2 0.8 0.3

46,576 4,120 4,8750.1 3.0 4.2

9 81 9075 64 6963 53 6187 85 8717 30 37

6 23 3328 41 46

9 17 1963 72 78

9 5 620 14 1471 92 76

26.9 23.8 23.17.4 8.6 7.53.7 3.6 3.10.0 5.7 1.10.6 1.6 1.5

35.8 1.9 4.50.6 0.5 0.32.4 1.1 1.6

–15.1 6.7 9.2


LiberiaCountry

data


Low-income group



12,930 3,456 7,6046,970 2,654 6,164

78.2 60.1 61.8

9 23 44.. .. .... .. 1,160

833 2,561 4,391

0.1 2.4 29.10.0 –0.1 0.00.1 6.1 16.112

224

3

36.0 4,159 93,7891.6 3.0 1.6

–8.1 12.6 8.90.05 2.7 8.5

.. 5,700 52,070

.. 217 50,160

2,186 1,376 1,8931.3 0.9 8.5

3,926 1,696 2,932100.0 91.7 74.7

0.0 5.5 20.09.8 3.9 5.4

113 656 6,910618.0 121.9 7.3

83 86 70.. 90 93.. 83 85.. 95 98

97 88 7496 80 6297 93 82

37 28 47100 100 81

.. .. ..

.. .. ..15 26 20

66.8 27.9 36.89.4 10.0 14.72.1 4.1 3.2

23.4 12.4 3.60.0 0.4 1.10.1 0.2 0.21.0 0.9 0.9

.. 0.4 0.3

.. 8.1 19.4


LibyaCountry

data

Middle East &

N. Africa group




136,770 39,812.. 32,117

14.3 80.0

38 29.. .... 18,497.. 4,953

43.1 34.90.0 0.0

43.1 13.90000

.. 37,398

.. –1.9

.. 2.4

.. 17.0

.. 82,210

.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.314.3 16.3

2.4 4.80.0 1.40.0 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


LiechtensteinCountry

data

High-income group



14,900 39,81212,950 32,117

66.6 80.0

45 29.. ..

9,369 18,4973,684 4,953

34.7 34.9–0.7 0.016.8 13.9

3661

95.1 37,398–5.5 –1.9–0.4 2.430.7 17.0

.. 82,210

.. 15,504

2,406 4,87713.3 4.3

3,530 8,90667.7 61.811.3 12.2

4.4 11.6

5,261 11,26915.3 7.2

3 4396 9989 9899 10094 9685 9399 97

10 1714 76

.. ..

.. ..5 6

17.6 21.313.1 16.3

4.9 4.80.1 1.40.0 0.20.3 0.00.4 0.30.4 0.28.0 7.7


LithuaniaCountry

data

High-income group



69,880 39,81256,758 32,117

89.6 80.0

51 29.. ..

36,313 18,4975,967 4,953

33.5 34.90.0 0.0

39.7 13.90110

.. 37,398

.. –1.9

.. 2.4

.. 17.0

.. 82,210

.. 15,504

8,046 4,8773.4 4.3

15,530 8,90688.5 61.8

2.2 12.221.4 11.6

1,840 11,2696.0 7.2

0 43100 99100 98100 100100 96100 93100 97

13 17100 76

.. ..

.. ..2 6

22.6 21.319.2 16.3

3.5 4.80.0 1.40.0 0.20.0 0.00.3 0.30.3 0.26.3 7.7


LuxembourgCountry

data

High-income group



64,050 39,812.. 32,117

100.0 80.0

.. 29

.. ..

.. 18,497

.. 4,953

.. 34.9

.. 0.0

.. 13.90350

1.5 37,398–2.3 –1.9

.. 2.4

.. 17.0

.. 82,210

.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.21.9 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

66.2 21.31.3 16.31.9 4.80.0 1.40.0 0.2

.. 0.00.0 0.3

.. 0.2

.. 7.7


Macao SAR, ChinaCountry

data

High-income group



4,870 7,114 7,6043,948 6,243 6,164

57.0 60.1 61.8

50 66 447.4 .. ..

11,761 5,070 1,1603,381 3,136 4,391

39.9 10.5 29.1–0.4 –0.5 0.07.3 5.1 16.1

51013

0

1.7 1,036 93,789.. –3.9 1.6.. 2.0 8.9.. .. 8.5.. .. 52,070.. .. 50,160

1,484 2,080 1,8936.1 2.9 8.5

3,881 2,954 2,93279.1 65.8 74.720.8 17.9 20.0

5.2 5.3 5.4

2,563 2,710 6,91019.0 31.6 7.3

12 67 7099 95 9399 89 85

100 99 9891 94 7483 90 6297 97 82

17 17 47100 91 81

.. .. ..

.. .. ..7 23 20

31.0 18.6 36.815.4 8.9 14.7

3.5 3.6 3.20.3 3.6 3.61.8 0.7 1.10.2 0.0 0.21.2 0.8 0.91.0 0.6 0.3

14.5 7.5 19.4


Macedonia, FYRCountry

data

Europe & Central

Asia group




440 1,686 728352 1,382 63733.8 36.7 30.0

71 44 392.2 .. ..

175 673 3322,522 1,433 2,158

21.4 27.7 27.50.4 0.5 0.65.0 16.4 13.8

1143587

374

116 6,652 12,3510.0 1.8 3.9

17.6 15.6 5.23.5 .. ..

2,230 17,980 15,1202,991 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

14,700 4,120 4,8754.9 3.0 4.298 81 9050 64 6935 53 6178 85 8714 30 3711 23 3319 41 46

5 17 190 72 783 5 68 14 14

56 92 76

.. 23.8 23.117.8 8.6 7.5

2.7 3.6 3.10.0 5.7 1.10.8 1.6 1.52.8 1.9 4.50.2 0.5 0.31.2 1.1 1.6

.. 6.7 9.2


MadagascarCountry

data


Low-income group



270 1,686 728154 1,382 63715.9 36.7 30.0

61 44 390.5 .. ..

221 673 3322,069 1,433 2,158

33.6 27.7 27.51.0 0.5 0.6

18.3 16.4 13.88

16102

23

116 6,652 12,3511.8 1.8 3.9

13.6 15.6 5.2.. .. .... 17,980 15,120.. 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

986 4,120 4,8758.4 3.0 4.286 81 9085 64 6983 53 6195 85 8710 30 37

8 23 3322 41 46

5 17 190 72 787 5 6

18 14 1468 92 76

8.1 23.8 23.117.1 8.6 7.5

4.9 3.6 3.10.0 5.7 1.10.0 1.6 1.5

12.5 1.9 4.50.4 0.5 0.31.7 1.1 1.6

–15.3 6.7 9.2


MalawiCountry

data


Low-income group



10,430 5,536 7,6048,305 4,520 6,164

73.3 50.9 61.8

24 48 44.. .. ..

9,674 822 1,1603,889 5,184 4,391

61.7 29.7 29.10.5 –0.4 0.0

18.4 15.1 16.1704273

706

2,023 115,605 93,7892.0 3.4 1.6

10.5 9.1 8.92.3 2.2 8.5

3,600 137,690 52,0707,097 56,537 50,160

2,639 1,671 1,8934.6 10.1 8.5

4,246 2,582 2,93293.1 80.9 74.7

5.9 14.5 20.07.7 4.9 5.4

19,517 4,376 6,9101.9 10.9 7.322 73 70

100 91 9399 85 85

100 97 9896 67 7495 58 6296 76 82

13 55 4773 92 81

.. .. ..

.. .. ..9 20 20

31.5 47.9 36.811.4 16.6 14.7

5.7 2.2 3.26.7 2.2 3.60.2 1.2 1.10.0 0.1 0.20.9 1.1 0.90.2 0.4 0.3

17.8 28.4 19.4


MalaysiaCountry

data

East Asia & Pacific

group




5,600 1,483 7,6044,784 1,246 6,164

43.4 32.2 61.8

23 55 44.. .. ..

3,215 685 1,1602,639 3,045 4,391

3.0 17.2 29.10.0 –0.3 0.0

.. 6.1 16.120

180

130 13,951 93,7892.1 2.4 1.6

.. 7.6 8.9

.. 2.4 8.58,920 15,440 52,070

.. 10,343 50,160

970 555 1,893.. 26.7 8.5.. 605 2,932.. 77.9 74.7.. 13.8 20.0

3.3 1.4 5.4

87 1,186 6,91019.7 51.6 7.3

0 91 7099 91 9398 89 85

100 95 9899 40 74

100 30 6298 61 82

16 32 47100 100 81

1 .. ..4 .. ..

10 57 20

.. 30.6 36.815.4 9.1 14.7

6.7 2.8 3.20.0 1.5 3.60.0 0.4 1.10.0 1.2 0.20.6 1.2 0.90.3 1.2 0.3

.. 19.0 19.4


MaldivesCountry

data

SouthAsia

group




670 1,686 728555 1,382 63738.4 36.7 30.0

34 44 39.. .. ..

842 673 3321,567 1,433 2,158

10.1 27.7 27.50.6 0.5 0.66.0 16.4 13.81211

27

102 6,652 12,3511.5 1.8 3.9

25.0 15.6 5.2.. .. .... 17,980 15,120.. 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.0 0.8 0.3

3,921 4,120 4,8758.6 3.0 4.298 81 9067 64 6954 53 6191 85 8722 30 3715 23 3335 41 46

34 17 19100 72 78

.. 5 6

.. 14 14123 92 76

18.9 23.8 23.19.6 8.6 7.54.2 3.6 3.10.0 5.7 1.17.7 1.6 1.50.0 1.9 4.50.1 0.5 0.33.3 1.1 1.6

–0.1 6.7 9.2


MaliCountry

data


Low-income group



20,980 39,812.. 32,117

95.1 80.0

32 2934.0 ..

56,234 18,4975,151 4,953

0.9 34.90.0 0.0

21.5 13.932

184

6.3 37,3984.9 –1.9

36.6 2.40.63 17.0

.. 82,210

.. 15,504

2,060 4,8775.3 4.3

4,689 8,90699.4 61.8

0.0 12.26.2 11.6

119 11,269106.7 7.2

35 43100 99100 98100 100100 96100 93100 97

21 17100 76

.. ..

.. ..6 6

12.7 21.314.9 16.3

7.0 4.80.0 1.40.0 0.2

.. 0.00.3 0.30.3 0.2

.. 7.7


MaltaCountry

data

High-income group



4,310 5,536 7,604.. 4,520 6,164

72.2 50.9 61.8

72 48 44.. .. .... 822 1,160.. 5,184 4,391

70.2 29.7 29.10.0 –0.4 0.03.0 15.1 16.1

23

120

80.6 115,605 93,78926.2 3.4 1.6

.. 9.1 8.90.70 2.2 8.5

6,110 137,690 52,070.. 56,537 50,160

614 1,671 1,893.. 10.1 8.5.. 2,582 2,932.. 80.9 74.7.. 14.5 20.0

2.0 4.9 5.4

.. 4,376 6,910

.. 10.9 7.3

.. 73 7095 91 9398 85 8593 97 9876 67 7456 58 6284 76 82

8 55 47.. 92 81.. .. .... .. ..

38 20 20

.. 47.9 36.86.9 16.6 14.76.5 2.2 3.20.0 2.2 3.60.0 1.2 1.1

.. 0.1 0.20.5 1.1 0.9

.. 0.4 0.3

.. 28.4 19.4


Marshall IslandsCountry

data

East Asia & Pacific

group




1,060 1,686 2,074474 1,382 1,76858.6 36.7 38.8

38 44 46.. .. ..

659 673 9321,130 1,433 3,079

0.2 27.7 27.02.7 0.5 0.30.6 16.4 11.916

932

0

293 6,652 47,2306.7 1.8 2.5

.. 15.6 10.332.2 .. 11.3

.. 17,980 124,4801.4 27,808 58,917

.. 681 686

.. 57.6 26.8

.. 535 736

.. 65.1 72.3

.. 20.0 16.90.6 0.8 1.6

103 4,120 3,047337.5 3.0 19.3

91 81 8850 64 8848 53 8452 85 9427 30 47

9 23 3651 41 66

65 17 27100 72 92

.. 5 ..

.. 14 ..90 92 59

37.1 23.8 28.820.8 8.6 8.2

3.6 3.6 3.24.6 5.7 2.9

24.6 1.6 0.82.6 1.9 0.80.7 0.5 0.92.8 1.1 0.9

–15.4 6.7 17.5


MauritaniaCountry

data





9,570 1,686 7,6048,192 1,382 6,164

40.0 36.7 61.8

43 44 4421.8 .. ..

8,574 673 1,1603,224 1,433 4,391

17.3 27.7 29.11.0 0.5 0.04.5 16.4 16.1

78

1591

7.8 6,652 93,789–2.8 1.8 1.68.3 15.6 8.9

0.30 .. 8.5870 17,980 52,0701.2 27,808 50,160

963 681 1,893.. 57.6 8.5.. 535 2,932.. 65.1 74.7.. 20.0 20.0

3.3 0.8 5.4

2,186 4,120 6,91026.4 3.0 7.3

68 81 70100 64 93100 53 85100 85 98

91 30 7490 23 6292 41 82

5 17 4727 72 81

.. 5 ..

.. 14 ..14 92 20

12.7 23.8 36.813.7 8.6 14.7

3.2 3.6 3.20.0 5.7 3.60.0 1.6 1.10.0 1.9 0.20.4 0.5 0.90.1 1.1 0.31.7 6.7 19.4


MauritiusCountry

data





9,940 9,542 7,6048,193 7,878 6,164

78.7 79.0 61.8

55 38 445.4 .. ..

4,203 4,576 1,1603,387 4,161 4,391

33.2 48.2 29.10.3 0.5 0.0

12.9 21.4 16.1101

58154371

1,806 11,967 93,7890.6 –0.1 1.69.2 10.0 8.9

18.9 14.3 8.51,780 14,860 52,0706,557 39,988 50,160

1,560 1,292 1,8934.4 16.0 8.5

2,092 1,985 2,93280.7 37.3 74.712.3 55.1 20.0

3.8 2.7 5.4

3,343 22,124 6,91019.6 2.2 7.3

77 71 7095 94 9391 82 8596 97 9885 81 7479 62 6287 86 82

17 8 4780 33 81

.. .. ..

.. .. ..15 18 20

21.0 17.3 36.812.7 11.2 14.7

5.1 5.1 3.25.5 3.8 3.60.6 0.9 1.10.0 0.4 0.20.4 0.3 0.90.2 0.1 0.36.8 5.7 19.4


MexicoCountry

data


group




3,280 5,536 2,0743,088 4,520 1,768

22.3 50.9 38.8

31 48 46.. .. ..

5,083 822 9321,658 5,184 3,079

91.7 29.7 27.00.0 –0.4 0.34.0 15.1 11.9

79

205

36.0 115,605 47,23012.6 3.4 2.5

.. 9.1 10.30.06 2.2 11.3

4,340 137,690 124,48087.0 56,537 58,917

.. 1,671 686

.. 10.1 26.8

.. 2,582 736

.. 80.9 72.3

.. 14.5 16.91.0 4.9 1.6

.. 4,376 3,047

.. 10.9 19.3

.. 73 8889 91 8887 85 8495 97 9457 67 4749 58 3685 76 66

5 55 270 92 92.. .. .... .. ..

36 20 59

.. 47.9 28.86.8 16.6 8.2

23.6 2.2 3.20.0 2.2 2.90.0 1.2 0.80.1 0.1 0.80.3 1.1 0.9

.. 0.4 0.9

.. 28.4 17.5


Micronesia, Fed. Sts.Country

data

East Asia & Pacific

group




2,470 7,114 2,0742,279 6,243 1,768

44.9 60.1 38.8

75 66 469.2 .. ..

2,236 5,070 9322,852 3,136 3,079

12.0 10.5 27.0–1.8 –0.5 0.33.8 5.1 11.9

4782

9.6 1,036 47,230–15.4 –3.9 2.5

1.3 2.0 10.3.. .. 11.3.. .. 124,480.. .. 58,917

936 2,080 6862.5 2.9 26.8

1,470 2,954 73693.9 65.8 72.3

6.1 17.9 16.91.4 5.3 1.6

281 2,710 3,047106.5 31.6 19.3

3 67 8897 95 8894 89 84

100 99 9487 94 4784 90 3689 97 66

14 17 27100 91 92

.. .. ..

.. .. ..15 23 59

17.4 18.6 28.88.1 8.9 8.27.3 3.6 3.20.1 3.6 2.90.0 0.7 0.80.2 0.0 0.80.6 0.8 0.90.9 0.6 0.9

14.9 7.5 17.5


MoldovaCountry

data

Europe & Central

Asia group




186,950 39,812.. 32,117

100.0 80.0

.. 29

.. ..

.. 18,497

.. 4,953

0.0 34.90.0 0.0

35.9 13.920

120

0.00 37,398–3.0 –1.9

.. 2.4100.0 17.0

.. 82,210

.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.20 43

100 99.. 98

100 100100 96

.. 93100 97

.. 17

.. 76

.. ..

.. ..4 6

.. 21.311.6 16.3

1.1 4.80.0 1.40.0 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


MonacoCountry

data

High-income group

Population (thousands) 38 Land area (sq. km) 2.0 GDP ($ billions) 6.1


3,770 5,536 2,0743,004 4,520 1,768

70.4 50.9 38.8

73 48 46.. .. ..

3,550 822 9321,337 5,184 3,079

6.9 29.7 27.00.7 –0.4 0.3

13.8 15.1 11.91116

20

0.06 115,605 47,230–3.1 3.4 2.5

.. 9.1 10.3

.. 2.2 11.3

.. 137,690 124,480

.. 56,537 58,917

1,310 1,671 6864.1 10.1 26.8

1,577 2,582 736100.0 80.9 72.3

0.0 14.5 16.94.2 4.9 1.6

12,258 4,376 3,0471.6 10.9 19.344 73 8885 91 8861 85 8495 97 9456 67 4735 58 3665 76 66

9 55 2723 92 92

.. .. ..

.. .. ..32 20 59

36.5 47.9 28.85.2 16.6 8.25.0 2.2 3.27.2 2.2 2.98.3 1.2 0.80.1 0.1 0.81.6 1.1 0.91.6 0.4 0.9

17.7 28.4 17.5


MongoliaCountry

data

East Asia & Pacific

group




7,250 7,114 7,604.. 6,243 6,164

63.6 60.1 61.8

38 66 44.. .. ..

6,946 5,070 1,1602,844 3,136 4,391

40.4 10.5 29.10.0 –0.5 0.0

14.8 5.1 16.16

1126

2

2.4 1,036 93,789.. –3.9 1.6.. 2.0 8.9

0.85 .. 8.5.. .. 52,070.. .. 50,160

1,900 2,080 1,89319.6 2.9 8.5

5,747 2,954 2,93254.7 65.8 74.745.3 17.9 20.0

4.2 5.3 5.4

.. 2,710 6,910

.. 31.6 7.31 67 70

98 95 9395 89 85

100 99 9890 94 7487 90 6292 97 82

16 17 4798 91 81

.. .. ..

.. .. ..5 23 20

4.5 18.6 36.89.2 8.9 14.7

.. 3.6 3.20.1 3.6 3.60.0 0.7 1.1

.. 0.0 0.20.6 0.8 0.91.0 0.6 0.3

.. 7.5 19.4


MontenegroCountry

data

Europe & Central

Asia group




3,020 3,456 2,0742,512 2,654 1,768

59.2 60.1 38.8

68 23 464.6 .. ..

4,582 .. 9321,828 2,561 3,079

11.5 2.4 27.0–0.2 –0.1 0.321.5 6.1 11.9

179

4434

1,261 4,159 47,2303.5 3.0 2.56.5 12.6 10.32.5 2.7 11.3

.. 5,700 124,480

.. 217 58,917

539 1,376 6862.8 0.9 26.8

826 1,696 73689.7 91.7 72.3

7.5 5.5 16.91.6 3.9 1.6

879 656 3,04743.5 121.9 19.3

87 86 8884 90 8864 83 8499 95 9475 88 4763 80 3685 93 66

20 28 27100 100 92

.. .. ..

.. .. ..30 26 59

27.4 27.9 28.816.4 10.0 8.2

5.2 4.1 3.20.0 12.4 2.91.5 0.4 0.80.0 0.2 0.80.6 0.9 0.90.3 0.4 0.9

13.8 8.1 17.5


MoroccoCountry

data

Middle East &

N. Africa group




610 1,686 728523 1,382 63731.7 36.7 30.0

64 44 39.. .. ..

276 673 332818 1,433 2,158

49.1 27.7 27.50.5 0.5 0.6

17.6 16.4 13.812275458

223 6,652 12,3518.2 1.8 3.9

18.3 15.6 5.22.4 .. ..

1,860 17,980 15,1202,909 27,808 25,817

415 681 35979.2 57.6 66.0447 535 2190.1 65.1 30.9

99.9 20.0 45.50.1 0.8 0.3

3,883 4,120 4,8750.9 3.0 4.278 81 9049 64 6935 53 6180 85 8721 30 3711 23 3344 41 46

5 17 190 72 782 5 6

11 14 1487 92 76

18.0 23.8 23.110.0 8.6 7.5

4.0 3.6 3.13.2 5.7 1.10.1 1.6 1.50.0 1.9 4.50.2 0.5 0.31.0 1.1 1.67.5 6.7 9.2


MozambiqueCountry

data


Low-income group



.. 5,536 728

.. 4,520 63733.0 50.9 30.0

19 48 3924.8 .. ..

.. 822 3323,641 5,184 2,158

47.7 29.7 27.50.9 –0.4 0.67.3 15.1 13.844414047

4,718 115,605 12,3517.4 3.4 3.9

23.6 9.1 5.20.22 2.2 ..

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

268 1,671 35975.5 10.1 66.0110 2,582 21929.7 80.9 30.970.3 14.5 45.5

0.2 4.9 0.3

18,832 4,376 4,8753.3 10.9 4.289 73 9086 91 6981 85 6195 97 8777 67 3774 58 3384 76 46

22 55 1999 92 78

.. .. 6

.. .. 1451 20 76

.. 47.9 23.1

.. 16.6 7.50.6 2.2 3.1

.. 2.2 1.1

.. 1.2 1.5

.. 0.1 4.5

.. 1.1 0.31.2 0.4 1.6

.. 28.4 9.2


MyanmarCountry

data

East Asia & Pacific

group

Low-income group



5,870 1,686 7,6045,040 1,382 6,164

44.7 36.7 61.8

47 44 44.. .. ..

2,046 673 1,160315 1,433 4,391

8.7 27.7 29.11.0 0.5 0.0

43.2 16.4 16.112252727

486 6,652 93,7892.6 1.8 1.6

15.9 15.6 8.928.0 .. 8.5

.. 17,980 52,070

.. 27,808 50,160

717 681 1,89313.3 57.6 8.5

1,549 535 2,9321.8 65.1 74.7

98.2 20.0 20.01.5 0.8 5.4

2,674 4,120 6,9104.7 3.0 7.370 81 7092 64 9387 53 8598 85 9832 30 7417 23 6256 41 82

4 17 472 72 814 5 ..

12 14 ..50 92 20

17.7 23.8 36.89.6 8.6 14.78.3 3.6 3.20.0 5.7 3.61.0 1.6 1.10.0 1.9 0.20.3 0.5 0.90.9 1.1 0.3

14.1 6.7 19.4


NamibiaCountry

data





730 1,483 728636 1,246 63717.9 32.2 30.0

29 55 3927.4 .. ..265 685 332

2,570 3,045 2,158

25.4 17.2 27.50.7 –0.3 0.6

16.4 6.1 13.83029

712

57.5 13,951 12,3516.3 2.4 3.96.1 7.6 5.2

.. 2.4 ..

.. 15,440 15,120

.. 10,343 25,817

383 555 35984.1 26.7 66.0106 605 2190.1 77.9 30.9

99.9 13.8 45.50.1 1.4 0.3

7,130 1,186 4,8754.8 51.6 4.298 91 9088 91 6988 89 6190 95 8737 40 3734 30 3351 61 46

33 32 19100 100 78

5 .. 614 .. 1440 57 76

42.8 30.6 23.14.9 9.1 7.54.2 2.8 3.10.0 1.5 1.10.0 0.4 1.54.2 1.2 4.50.2 1.2 0.31.3 1.2 1.6

36.4 19.0 9.2


NepalCountry

data

SouthAsia

group

Low-income group



51,060 39,81241,907 32,117

89.3 80.0

55 2910.6 ..

66,236 18,4978,653 4,953

10.8 34.9–0.1 0.019.5 13.9

34

130

388 37,398–0.9 –1.9–2.2 2.461.8 17.0

.. 82,210

.. 15,504

4,638 4,8774.6 4.3

7,036 8,90683.8 61.8

0.1 12.211.0 11.6

655 11,26996.5 7.2

1 43100 99100 98100 100100 96100 93100 97

19 17100 76

.. ..

.. ..4 6

26.6 21.316.9 16.3

5.9 4.80.8 1.40.0 0.20.0 0.00.2 0.30.1 0.2

14.5 7.7


NetherlandsCountry

data

High-income group



.. 39,812

.. 32,11769.1 80.0

10 29.. .... 18,497

3,305 4,953

45.9 34.90.0 0.0

61.3 13.99

1430

259

5.5 37,398–1.0 –1.94.1 2.4

25.2 17.05,980 82,210

227 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.215.7 11.6

.. 11,269

.. 7.2

.. 4399 9999 9899 100

100 96100 93100 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


New CaledoniaCountry

data

High-income group

Population (thousands) 262 Land area (1,000 sq. km) 18 GDP ($ millions) ..


35,760 39,81231,264 32,117

86.2 80.0

43 29.. ..

27,240 18,4978,122 4,953

31.3 34.90.0 0.0

27.3 13.99

642318

541 37,3981.0 –1.95.5 2.4

12.4 17.0.. 82,210

261 15,504

4,144 4,8776.6 4.3

9,444 8,90624.0 61.856.4 12.2

7.3 11.6

73,614 11,2691.5 7.274 43

100 99100 98100 100

.. 96

.. 93

.. 97

6 1733 76

.. ..

.. ..6 6

17.1 21.314.4 16.3

7.5 4.81.1 1.40.4 0.20.0 0.00.2 0.30.0 0.28.5 7.7


New ZealandCountry

data

High-income group



1,790 9,542 2,0741,638 7,878 1,768

58.1 79.0 38.8

42 38 46.. .. ..

3,673 4,576 9322,150 4,161 3,079

24.7 48.2 27.02.0 0.5 0.3

30.8 21.4 11.97

153143

66.8 11,967 47,23011.8 –0.1 2.529.1 10.0 10.337.7 14.3 11.3710 14,860 124,480671 39,988 58,917

515 1,292 68640.8 16.0 26.8522 1,985 73666.0 37.3 72.311.6 55.1 16.9

0.8 2.7 1.6

25,689 22,124 3,0471.0 2.2 19.377 71 8885 94 8868 82 8498 97 9452 81 4737 62 3663 86 66

5 8 275 33 92.. .. .... .. ..

24 18 59

18.7 17.3 28.84.3 11.2 8.24.2 5.1 3.20.0 3.8 2.91.2 0.9 0.83.4 0.4 0.80.5 0.3 0.90.4 0.1 0.9

13.1 5.7 17.5


NicaraguaCountry

data


group




400 1,686 728324 1,382 63718.2 36.7 30.0

35 44 390.2 .. ..

.. 673 332424 1,433 2,158

0.9 27.7 27.51.0 0.5 0.6

16.7 16.4 13.812

743

45.2 6,652 12,35112.0 1.8 3.9

7.7 15.6 5.2.. .. .... 17,980 15,120.. 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

196 4,120 4,87528.1 3.0 4.2

67 81 9052 64 6942 53 6199 85 87

9 30 374 23 33

33 41 46

37 17 19100 72 78

4 5 614 14 14

104 92 76

21.2 23.8 23.14.2 8.6 7.53.8 3.6 3.15.9 5.7 1.10.3 1.6 1.59.7 1.9 4.50.2 0.5 0.35.2 1.1 1.60.0 6.7 9.2


NigerCountry

data


Low-income group



2,710 1,686 2,0742,503 1,382 1,768

46.1 36.7 38.8

79 44 46.. .. ..

4,575 673 9321,537 1,433 3,079

9.0 27.7 27.03.7 0.5 0.3

14.1 16.4 11.9261560

169

1,000 6,652 47,2303.8 1.8 2.5

17.1 15.6 10.30.21 .. 11.3

.. 17,980 124,4807,356 27,808 58,917

721 681 68682.2 57.6 26.8149 535 73679.1 65.1 72.320.9 20.0 16.9

0.5 0.8 1.6

1,273 4,120 3,0475.9 3.0 19.354 81 8864 64 8849 53 8479 85 9428 30 4725 23 3631 41 66

27 17 2794 72 92

3 5 ..10 14 ..

117 92 59

35.0 23.8 28.84.8 8.6 8.20.9 3.6 3.27.2 5.7 2.90.0 1.6 0.80.9 1.9 0.80.2 0.5 0.91.0 1.1 0.9

19.1 6.7 17.5


NigeriaCountry

data





.. 39,812

.. 32,11789.3 80.0

7 29.. .... 18,497.. 4,953

65.2 34.90.5 0.03.1 13.9

41512

5

0.98 37,3987.6 –1.9

.. 2.420.3 17.0<50 82,2100.07 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 4398 9998 9898 10080 9680 9380 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


Northern Mariana IslandsCountry

data

High-income group



102,700 39,81279,194 32,117

79.9 80.0

3 294.3 ..

65,908 18,4973,167 4,953

28.0 34.9–0.8 0.016.3 13.9

74

193

3,476 37,3980.9 –1.99.6 2.42.8 17.0

.. 82,210

.. 15,504

5,681 4,8776.4 4.3

23,174 8,9063.3 61.8

95.2 12.211.7 11.6

75,194 11,2690.8 7.229 43

100 99100 98100 100100 96100 93100 97

4 1716 76

.. ..

.. ..3 6

36.9 21.314.1 16.3

6.2 4.88.6 1.40.0 0.20.0 0.00.1 0.30.0 0.2

20.2 7.7


NorwayCountry

data

High-income group



25,150 39,81217,774 32,117

76.7 80.0

5 294.2 ..

.. 18,49711,254 4,953

0.0 34.90.0 0.0

10.7 13.910

825

6

207 37,3982.4 –1.9

.. 2.41.3 17.0

530 82,21010.9 15,504

8,356 4,8770.0 4.3

6,292 8,906100.0 61.8

0.0 12.220.4 11.6

385 11,26994.4 7.2

88 4393 9986 9896 10097 9695 9397 97

35 17100 76

.. ..

.. ..11 6

49.2 21.310.0 16.3

4.2 4.824.7 1.4

0.0 0.20.0 0.00.7 0.30.2 0.2

17.9 7.7


OmanCountry

data

High-income group



1,360 1,483 2,0741,234 1,246 1,768

37.9 32.2 38.8

35 55 4670.2 .. ..

1,077 685 9322,722 3,045 3,079

2.1 17.2 27.02.2 –0.3 0.3

10.7 6.1 11.9242334

5

623 13,951 47,2300.1 2.4 2.5

12.4 7.6 10.35.9 2.4 11.3

.. 15,440 124,480977 10,343 58,917

482 555 68634.6 26.7 26.8449 605 73664.5 77.9 72.329.9 13.8 16.9

0.9 1.4 1.6

302 1,186 3,047333.6 51.6 19.3

94 91 8891 91 8889 89 8496 95 9448 40 4734 30 3672 61 66

38 32 2798 100 9214 .. ..22 .. ..86 57 59

20.0 30.6 28.85.0 9.1 8.21.5 2.8 3.22.1 1.5 2.90.0 0.4 0.80.8 1.2 0.80.7 1.2 0.92.6 1.2 0.9

10.2 19.0 17.5


PakistanCountry

data

SouthAsia

group




10,970 5,536 7,604.. 4,520 6,164

85.8 50.9 61.8

11 48 44.. .. ..

3,857 822 1,160.. 5,184 4,391

87.6 29.7 29.1–0.2 –0.4 0.015.9 15.1 16.1

44

154

0.92 115,605 93,789–0.8 3.4 1.610.5 9.1 8.930.3 2.2 8.5

1,150 137,690 52,07048.5 56,537 50,160

.. 1,671 1,893

.. 10.1 8.5

.. 2,582 2,932

.. 80.9 74.7

.. 14.5 20.010.6 4.9 5.4

.. 4,376 6,910

.. 10.9 7.3

.. 73 7095 91 9386 85 8597 97 98

100 67 74100 58 62100 76 82

.. 55 47

.. 92 81

.. .. ..

.. .. ..18 20 20

.. 47.9 36.89.9 16.6 14.7

.. 2.2 3.20.0 2.2 3.60.0 1.2 1.1

.. 0.1 0.21.0 1.1 0.9

.. 0.4 0.3

.. 28.4 19.4


PalauCountry

data

East Asia & Pacific

group




10,700 9,542 7,60410,345 7,878 6,164

66.0 79.0 61.8

30 38 44.. .. ..

4,048 4,576 1,1602,824 4,161 4,391

43.4 48.2 29.10.4 0.5 0.0

20.6 21.4 16.1161942

203

208 11,967 93,7891.9 –0.1 1.63.9 10.0 8.97.4 14.3 8.5

720 14,860 52,0701,744 39,988 50,160

1,085 1,292 1,89311.5 16.0 8.5

1,829 1,985 2,93247.5 37.3 74.752.2 55.1 20.0

2.6 2.7 5.4

35,350 22,124 6,9100.8 2.2 7.343 71 7094 94 9387 82 8597 97 9873 81 7453 62 6280 86 82

5 8 470 33 81.. .. .... .. ..

18 18 20

27.2 17.3 36.85.5 11.2 14.73.0 5.1 3.20.0 3.8 3.60.2 0.9 1.10.0 0.4 0.20.3 0.3 0.90.1 0.1 0.3

23.8 5.7 19.4


PanamaCountry

data


group




2,020 5,536 2,0741,460 4,520 1,768

13.0 50.9 38.8

3 48 46.. .. .... 822 932

4,892 5,184 3,079

62.8 29.7 27.00.5 –0.4 0.33.1 15.1 11.9393247

145

218 115,605 47,2309.5 3.4 2.5

32.5 9.1 10.30.35 2.2 11.3

13,840 137,690 124,4804,265 56,537 58,917

.. 1,671 686

.. 10.1 26.8

.. 2,582 736

.. 80.9 72.3

.. 14.5 16.90.5 4.9 1.6

109,407 4,376 3,0470.0 10.9 19.3

0 73 8840 91 8833 85 8488 97 9419 67 4713 58 3656 76 66

5 55 270 92 92.. .. .... .. ..

61 20 59

.. 47.9 28.88.7 16.6 8.26.9 2.2 3.24.5 2.2 2.9

13.0 1.2 0.80.7 0.1 0.80.3 1.1 0.90.9 0.4 0.9

.. 28.4 17.5


Papua New GuineaCountry

data

East Asia & Pacific

group




4,010 9,542 2,0743,485 7,878 1,768

59.2 79.0 38.8

54 38 46.. .. ..

3,092 4,576 9323,683 4,161 3,079

43.4 48.2 27.01.0 0.5 0.36.4 21.4 11.9

825

019

22.7 11,967 47,2301.3 –0.1 2.5

21.8 10.0 10.3.. 14.3 11.3.. 14,860 124,480.. 39,988 58,917

739 1,292 68645.8 16.0 26.8

1,228 1,985 7360.0 37.3 72.3

100.0 55.1 16.90.8 2.7 1.6

17,200 22,124 3,0472.1 2.2 19.379 71 8894 94 8883 82 84

100 97 9480 81 4753 62 3696 86 66

4 8 270 33 92.. .. .... .. ..

22 18 59

18.3 17.3 28.89.2 11.2 8.24.6 5.1 3.20.0 3.8 2.90.0 0.9 0.84.6 0.4 0.80.2 0.3 0.90.4 0.1 0.98.5 5.7 17.5


ParaguayCountry

data


group




6,270 9,542 7,6045,334 7,878 6,164

78.0 79.0 61.8

19 38 44.. .. .... 4,576 1,160

4,109 4,161 4,391

52.9 48.2 29.10.2 0.5 0.0

19.1 21.4 16.154

11321

318

6,002 11,967 93,789–0.7 –0.1 1.614.8 10.0 8.9

3.9 14.3 8.5.. 14,860 52,070

53.1 39,988 50,160

695 1,292 1,89315.0 16.0 8.5

1,248 1,985 2,93243.1 37.3 74.755.0 55.1 20.0

2.0 2.7 5.4

54,024 22,124 6,9100.8 2.2 7.389 71 7087 94 9372 82 8591 97 9873 81 7445 62 6281 86 82

10 8 4739 33 81

7 .. ..12 .. ..17 18 20

25.1 17.3 36.89.8 11.2 14.72.3 5.1 3.21.2 3.8 3.64.4 0.9 1.10.0 0.4 0.20.4 0.3 0.90.2 0.1 0.3

11.4 5.7 19.4


PeruCountry

data


group




3,270 5,536 2,0742,962 4,520 1,768

44.6 50.9 38.8

42 48 469.4 .. ..

876 822 9323,532 5,184 3,079

26.1 29.7 27.0–0.7 –0.4 0.310.9 15.1 11.9

386674

232

4,709 115,605 47,2301.1 3.4 2.55.6 9.1 10.32.5 2.2 11.3

25,060 137,690 124,4802,565 56,537 58,917

426 1,671 68617.1 10.1 26.8647 2,582 73671.3 80.9 72.314.0 14.5 16.9

0.9 4.9 1.6

4,868 4,376 3,04717.0 10.9 19.3

82 73 8892 91 8891 85 8493 97 9474 67 4769 58 3679 76 66

7 55 2734 92 92

5 .. ..9 .. ..

30 20 59

36.1 47.9 28.88.7 16.6 8.22.4 2.2 3.20.2 2.2 2.91.6 1.2 0.80.2 0.1 0.80.3 1.1 0.90.5 0.4 0.9

26.9 28.4 17.5


PhilippinesCountry

data

East Asia & Pacific

group




13,240 39,81211,511 32,117

60.6 80.0

47 290.4 ..

3,320 18,4973,803 4,953

30.7 34.9–0.3 0.034.2 13.9

587

10

249 37,398–3.2 –1.91.3 2.4

52.8 17.0.. 82,210.. 15,504

2,629 4,8778.1 4.3

3,832 8,90691.8 61.8

1.4 12.28.3 11.6

1,392 11,26922.3 7.2

10 43.. 99.. 98

100 10090 9680 9396 97

16 1798 76

.. ..

.. ..5 6

19.0 21.311.7 16.3

5.1 4.80.3 1.40.2 0.20.2 0.00.7 0.30.6 0.2

10.3 7.7


PolandCountry

data

High-income group



21,270 39,81217,275 32,117

62.3 80.0

40 2912.7 ..

9,331 18,4974,183 4,953

37.8 34.9–0.1 0.022.3 13.9

117

5581

204 37,398–2.3 –1.92.0 2.44.1 17.0

.. 82,210

.. 15,504

2,187 4,87713.9 4.3

4,848 8,90652.9 61.822.2 12.2

5.0 11.6

3,634 11,26922.3 7.2

73 43100 99100 98100 100100 96100 93100 97

13 1772 76

.. ..

.. ..4 6

16.9 21.318.7 16.3

5.7 4.80.0 1.40.1 0.20.0 0.00.2 0.30.1 0.23.5 7.7


PortugalCountry

data

High-income group



19,210 39,812.. 32,117

93.7 80.0

22 2910.7 ..

64,704 18,4971,879 4,953

64.2 34.9–1.8 0.010.3 13.9

39

2157

1.5 37,398–1.2 –1.9–7.3 2.41.7 17.0

480 82,21073.9 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

1,964 11,26914.0 7.2

7 43.. 99.. 98.. 100

99 9699 9399 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.313.2 16.3

8.2 4.80.0 1.40.0 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


Puerto RicoCountry

data

High-income group



86,790 39,81255,526 32,117

99.1 80.0

6 29.. ..

15,044 18,4975,931 4,953

0.0 34.90.0 0.03.2 13.9

34

120

12.1 37,3983.3 –1.9

.. 2.41.6 17.0

700 82,21012.3 15,504

17,419 4,8770.0 4.3

15,755 8,906100.0 61.8

0.0 12.240.3 11.6

26 11,269792.9 7.2

59 43100 99100 98100 100100 96100 93100 97

69 17100 76

.. ..

.. ..8 6

66.0 21.319.4 16.3

1.8 4.817.3 1.4

0.0 0.20.0 0.00.5 0.30.1 0.2

30.1 7.7


QatarCountry

data

High-income group



9,050 7,114 7,6048,875 6,243 6,164

54.2 60.1 61.8

60 66 441.2 .. ..

9,117 5,070 1,1603,864 3,136 4,391

28.9 10.5 29.1–0.3 –0.5 0.018.7 5.1 16.1

71319

4

15.3 1,036 93,789–12.5 –3.9 1.6

–4.9 2.0 8.940.4 .. 8.5

.. .. 52,070

.. .. 50,160

1,778 2,080 1,89310.3 2.9 8.5

2,639 2,954 2,93254.7 65.8 74.723.8 17.9 20.0

3.9 5.3 5.4

2,117 2,710 6,91016.3 31.6 7.3

17 67 7088 95 9376 89 8599 99 9872 94 7454 90 6288 97 82

17 17 47100 91 81

.. .. ..

.. .. ..12 23 20

22.5 18.6 36.82.1 8.9 14.72.9 3.6 3.21.4 3.6 3.60.0 0.7 1.10.0 0.0 0.20.5 0.8 0.90.7 0.6 0.3

20.7 7.5 19.4


RomaniaCountry

data

Europe & Central

Asiagroup




13,850 39,81211,755 32,117

73.9 80.0

13 292.0 ..

5,973 18,4972,240 4,953

49.4 34.90.0 0.0

11.3 13.931443654

4,507 37,398–2.3 –1.9–2.2 2.411.6 17.0

.. 82,210

.. 15,504

5,113 4,8771.0 4.3

6,486 8,90667.4 61.815.7 12.212.2 11.6

30,056 11,2691.5 7.220 4397 9992 9899 10071 9659 9374 97

10 1736 76

.. ..

.. ..10 6

25.2 21.35.1 16.33.5 4.8

10.6 1.40.7 0.20.0 0.01.0 0.30.4 0.2

10.9 7.7


Russian FederationCountry

data

High-income group



630 1,686 728517 1,382 63726.9 36.7 30.0

75 44 39.. .. ..

305 673 3322,172 1,433 2,158

18.4 27.7 27.5–2.4 0.5 0.610.5 16.4 13.8

2014

96

24.7 6,652 12,35110.5 1.8 3.9

8.9 15.6 5.2.. .. .... 17,980 15,120.. 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

807 4,120 4,8751.6 3.0 4.268 81 9071 64 6968 53 6181 85 8764 30 3764 23 3361 41 46

14 17 19100 72 78

4 5 613 14 1452 92 76

19.9 23.8 23.111.6 8.6 7.5

4.3 3.6 3.10.0 5.7 1.10.1 1.6 1.56.0 1.9 4.50.1 0.5 0.31.3 1.1 1.65.1 6.7 9.2


RwandaCountry

data


Low-income group



3,970 5,536 2,0743,573 4,520 1,768

19.4 50.9 38.8

12 48 46.. .. ..

2,585 822 932.. 5,184 3,079

60.4 29.7 27.00.0 –0.4 0.36.7 15.1 11.9

25

132

11.2 115,605 47,2309.1 3.4 2.5

.. 9.1 10.31.1 2.2 11.3

490 137,690 124,4803.7 56,537 58,917

318 1,671 686.. 10.1 26.8.. 2,582 736.. 80.9 72.3.. 14.5 16.9

0.9 4.9 1.6

.. 4,376 3,047

.. 10.9 19.3

.. 73 8899 91 8899 85 8497 97 9492 67 4791 58 3693 76 66

5 55 27.. 92 92.. .. .... .. ..

18 20 59

.. 47.9 28.811.1 16.6 8.2

4.8 2.2 3.20.0 2.2 2.90.0 1.2 0.80.8 0.1 0.80.2 1.1 0.9

.. 0.4 0.9

.. 28.4 17.5


SamoaCountry

data

East Asia & Pacific

group


Population (thousands) 190 Land area (1,000 sq. km) 2.8 GDP ($ millions) 801.9


51,470 39,812.. 32,117

94.1 80.0

17 29.. .... 18,497.. 4,953

0.0 34.90.0 0.0

.. 13.90000

.. 37,398

.. –1.9

.. 2.4

.. 17.0

.. 82,210

.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..3 6

.. 21.322.1 16.3

3.6 4.80.0 1.40.0 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


San MarinoCountry

data

High-income group



1,470 1,686 2,0741,369 1,382 1,768

63.9 36.7 38.8

52 44 46.. .. .... 673 932

575 1,433 3,079

28.1 27.7 27.00.0 0.5 0.3

.. 16.4 11.95

121337

5.8 6,652 47,2301.7 1.8 2.5

.. 15.6 10.30.00 .. 11.3

.. 17,980 124,4801.4 27,808 58,917

269 681 686.. 57.6 26.8.. 535 736.. 65.1 72.3.. 20.0 16.9

0.6 0.8 1.6

11,296 4,120 3,0470.3 3.0 19.3

.. 81 8897 64 8894 53 8499 85 9434 30 4723 23 3641 41 66

5 17 270 72 929 5 ..

16 14 ..51 92 59

18.2 23.8 28.812.0 8.6 8.2

7.7 3.6 3.20.0 5.7 2.90.0 1.6 0.82.3 1.9 0.80.4 0.5 0.90.0 1.1 0.9

.. 6.7 17.5


São Tomé and PríncipeCountry

data





26,260 39,81218,592 32,117

82.7 80.0

81 29.. ..

25,635 18,4974,120 4,953

0.5 34.90.0 0.0

31.3 13.9101324

3

97.3 37,3982.5 –1.9

11.7 2.43.4 17.0

6,660 82,210204 15,504

6,738 4,8770.0 4.3

8,161 8,90669.8 61.8

0.0 12.217.0 11.6

83 11,269986.3 7.2

88 4397 9997 9897 100

100 96100 93100 97

62 17100 76

.. ..

.. ..16 6

43.6 21.37.8 16.37.2 4.8

20.6 1.40.0 0.20.0 0.00.8 0.30.3 0.2

21.1 7.7


Saudi ArabiaCountry

data

High-income group



1,050 1,686 2,074893 1,382 1,76843.1 36.7 38.8

47 44 46.. .. ..

362 673 9321,180 1,433 3,079

43.6 27.7 27.00.5 0.5 0.3

24.8 16.4 11.916114610

472 6,652 47,2301.8 1.8 2.5

22.2 15.6 10.314.4 .. 11.3

.. 17,980 124,4801,279 27,808 58,917

264 681 68645.8 57.6 26.8187 535 73688.0 65.1 72.3

8.5 20.0 16.90.5 0.8 1.6

1,825 4,120 3,0478.6 3.0 19.393 81 8874 64 8860 53 8493 85 9452 30 4741 23 3667 41 66

41 17 27100 72 92

5 5 ..21 14 ..55 92 59

22.1 23.8 28.812.2 8.6 8.2

5.2 3.6 3.20.0 5.7 2.91.4 1.6 0.80.0 1.9 0.80.5 0.5 0.90.7 1.1 0.9

12.8 6.7 17.5


SenegalCountry

data





6,050 7,114 7,604.. 6,243 6,164

55.4 60.1 61.8

58 66 441.0 .. ..

3,938 5,070 1,1604,784 3,136 4,391

32.1 10.5 29.1–1.0 –0.5 0.06.3 5.1 16.1

61011

4

11.0 1,036 93,789.. –3.9 1.6.. 2.0 8.9.. .. 8.5.. .. 52,070.. .. 50,160

2,237 2,080 1,8936.4 2.9 8.5

4,490 2,954 2,93277.2 65.8 74.722.8 17.9 20.0

6.3 5.3 5.4

1,173 2,710 6,91049.0 31.6 7.3

2 67 7099 95 9399 89 8599 99 9897 94 7496 90 6299 97 82

16 17 47100 91 81

.. .. ..

.. .. ..7 23 20

11.1 18.6 36.816.1 8.9 14.7

4.8 3.6 3.21.4 3.6 3.60.2 0.7 1.1

.. 0.0 0.21.1 0.8 0.91.2 0.6 0.3

.. 7.5 19.4


SerbiaCountry

data

Europe & Central

Asiagroup




13,210 1,686 7,60413,818 1,382 6,164

53.2 36.7 61.8

7 44 44.. .. ..

1,012 673 1,160.. 1,433 4,391

88.5 27.7 29.10.0 0.5 0.0

42.0 16.4 16.169

1962

74.1 6,652 93,78912.0 1.8 1.6

.. 15.6 8.90.85 .. 8.5

1,690 17,980 52,07032.3 27,808 50,160

2,411 681 1,893.. 57.6 8.5.. 535 2,932.. 65.1 74.7.. 20.0 20.0

7.8 0.8 5.4

.. 4,120 6,910

.. 3.0 7.37 81 70

96 64 9396 53 8596 85 9897 30 7497 23 6297 41 82

5 17 470 72 81.. 5 .... 14 ..

14 92 20

20.5 23.8 36.811.4 8.6 14.7

3.4 3.6 3.20.0 5.7 3.60.0 1.6 1.10.1 1.9 0.20.6 0.5 0.9

.. 1.1 0.3

.. 6.7 19.4


SeychellesCountry

data





660 1,686 728642 1,382 63739.2 36.7 30.0

57 44 39.. .. ..

929 673 3321,802 1,433 2,158

37.2 27.7 27.50.7 0.5 0.6

10.5 16.4 13.817144856

200 6,652 12,3515.6 1.8 3.96.2 15.6 5.28.6 .. ..

.. 17,980 15,1201,049 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

26,264 4,120 4,8750.1 3.0 4.222 81 9060 64 6942 53 6187 85 8713 30 37

7 23 3323 41 46

18 17 19100 72 78

7 5 613 14 14

161 92 76

25.8 23.8 23.15.4 8.6 7.52.9 3.6 3.10.0 5.7 1.10.2 1.6 1.57.8 1.9 4.50.2 0.5 0.32.3 1.1 1.6

12.8 6.7 9.2


Sierra LeoneCountry

data


Low-income group



54,040 39,812.. 32,117

100.0 80.0

1 29.. ..

36,625 18,497.. 4,953

3.3 34.90.0 0.05.4 13.910142558

6.8 37,398–8.1 –1.94.5 2.41.4 17.0

<100 82,2104.6 15,504

6,452 4,8772.8 4.3

8,404 8,90696.4 61.8

0.0 12.22.7 11.6

111 11,26931.7 7.2

4 43100 99

.. 98100 100100 96

.. 93100 97

20 17100 76

.. ..

.. ..3 6

48.5 21.311.8 16.3

2.8 4.80.0 1.40.0 0.2

.. 0.00.1 0.30.1 0.2

.. 7.7


SingaporeCountry

data

High-income group

Population (millions) 5.4 Land area (sq. km) 700 GDP ($ billions) 297.9


.. 39,812

.. 32,117100.0 80.0

.. 29

.. ..

.. 18,497

.. 4,953

.. 34.9

.. 0.0

.. 13.921

192

0.19 37,398.. –1.9.. 2.4.. 17.0.. 82,210.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


Sint Maarten (Dutch part)Country

data

High-income group



17,810 39,81213,829 32,117

53.9 80.0

40 291.3 ..

18,034 18,4974,490 4,953

40.2 34.9–0.1 0.036.1 13.9

3856

3.1 37,398.. –1.9.. 2.4.. 17.0.. 82,210.. 15,504

3,214 4,8775.5 4.3

5,348 8,90627.5 61.813.4 12.2

6.7 11.6

2,328 11,2695.5 7.2

3 43100 99100 98100 100100 96100 93100 97

15 17100 76

.. ..

.. ..7 6

22.2 21.321.4 16.3

3.8 4.80.0 1.40.0 0.20.4 0.00.4 0.30.3 0.23.5 7.7


Slovak RepublicCountry

data

High-income group



23,220 39,81218,256 32,117

49.8 80.0

24 290.4 ..

153,307 18,4974,610 4,953

62.4 34.9–0.2 0.054.5 13.9

55

297

1.6 37,398.. –1.9.. 2.4

98.4 17.0.. 82,210.. 15,504

3,531 4,8778.5 4.3

6,806 8,90636.5 61.822.4 12.2

7.5 11.6

9,063 11,2695.0 7.2

0 43100 99

99 98100 100100 96100 93100 97

15 17100 76

.. ..

.. ..3 6

25.0 21.320.7 16.3

5.4 4.80.0 1.40.0 0.20.3 0.00.3 0.30.2 0.28.8 7.7


SloveniaCountry

data

High-income group



1,600 5,536 2,0741,016 4,520 1,768

21.4 50.9 38.8

4 48 46.. .. .... 822 932

4,200 5,184 3,079

78.7 29.7 27.00.2 –0.4 0.32.2 15.1 11.920201817

53.3 115,605 47,230–0.5 3.4 2.542.3 9.1 10.30.90 2.2 11.3

5,750 137,690 124,480603 56,537 58,917

130 1,671 686.. 10.1 26.8.. 2,582 736.. 80.9 72.3.. 14.5 16.9

0.4 4.9 1.6

79,646 4,376 3,047.. 10.9 19.3.. 73 88

81 91 8877 85 8493 97 9429 67 4715 58 3681 76 66

6 55 270 92 92.. .. .... .. ..

30 20 59

.. 47.9 28.89.6 16.6 8.28.9 2.2 3.20.0 2.2 2.96.9 1.2 0.8

24.0 0.1 0.80.3 1.1 0.91.5 0.4 0.9

.. 28.4 17.5


Solomon IslandsCountry

data

East Asia & Pacific

group




.. 1,686 728

.. 1,382 63738.6 36.7 30.0

70 44 39.. .. .... 673 332

964 1,433 2,158

10.5 27.7 27.51.1 0.5 0.60.6 16.4 13.815132642

30.0 6,652 12,3511.2 1.8 3.9

.. 15.6 5.20.00 .. ..710 17,980 15,12048.0 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

572 4,120 4,87555.0 3.0 4.2

99 81 9032 64 69

9 53 6170 85 8724 30 37

6 23 3352 41 46

8 17 1920 72 78

.. 5 6

.. 14 14146 92 76

.. 23.8 23.1

.. 8.6 7.5

.. 3.6 3.1

.. 5.7 1.1

.. 1.6 1.5

.. 1.9 4.5

.. 0.5 0.3

.. 1.1 1.6

.. 6.7 9.2


SomaliaCountry

data


Low-income group



7,410 1,686 7,6045,558 1,382 6,164

63.8 36.7 61.8

79 44 441.7 .. ..

6,655 673 1,1603,725 1,433 4,391

7.6 27.7 29.10.0 0.5 0.06.2 16.4 16.1244187

101

431 6,652 93,789–1.1 1.8 1.62.2 15.6 8.9

12.8 .. 8.5.. 17,980 52,070

30.5 27,808 50,160

2,742 681 1,89310.3 57.6 8.5

4,606 535 2,93293.8 65.1 74.7

0.8 20.0 20.09.1 0.8 5.4

843 4,120 6,91027.9 3.0 7.3

63 81 7095 64 9388 53 8599 85 9874 30 7462 23 6282 41 82

8 17 4736 72 81

.. 5 ..

.. 14 ..44 92 20

14.7 23.8 36.813.4 8.6 14.7

6.5 3.6 3.21.2 5.7 3.62.5 1.6 1.10.1 1.9 0.21.4 0.5 0.90.4 1.1 0.32.3 6.7 19.4


South AfricaCountry

data





950 1,686 2,074.. 1,382 1,768

18.4 36.7 38.8

.. 44 46

.. .. ..

.. 673 932

.. 1,433 3,079

.. 27.7 27.0

.. 0.5 0.3

.. 16.4 11.98

120

15

37.0 6,652 47,230.. 1.8 2.5.. 15.6 10.3.. .. 11.3.. 17,980 124,480.. 27,808 58,917

.. 681 686

.. 57.6 26.8

.. 535 736

.. 65.1 72.3

.. 20.0 16.9

.. 0.8 1.6

2,302 4,120 3,0472.5 3.0 19.336 81 8857 64 8855 53 8463 85 94

9 30 477 23 36

16 41 66

.. 17 2798 72 92

.. 5 ..

.. 14 ..99 92 59

.. 23.8 28.813.0 8.6 8.2

.. 3.6 3.212.6 5.7 2.9

0.0 1.6 0.8.. 1.9 0.8.. 0.5 0.9.. 1.1 0.9.. 6.7 17.5


South SudanCountry

data



Population (millions) 11.3 Land area (sq. km) .. GDP ($ billions) 11.8


29,940 39,81224,476 32,117

79.1 80.0

54 2912.0 ..

40,126 18,4974,081 4,953

37.1 34.9–0.7 0.029.0 13.9

169

70214

1,259 37,398–0.4 –1.90.4 2.49.4 17.0

.. 82,210

.. 15,504

2,686 4,8775.7 4.3

5,530 8,90649.9 61.810.6 12.2

5.8 11.6

2,385 11,26929.2 7.2

61 43100 99100 98100 100100 96100 93100 97

14 1792 76

.. ..

.. ..4 6

21.3 21.317.5 16.3

4.6 4.80.0 1.40.0 0.20.0 0.00.2 0.30.1 0.28.0 7.7


SpainCountry

data

High-income group



3,170 1,483 2,0743,004 1,246 1,768

18.3 32.2 38.8

43 55 46.. .. ..

1,041 685 9323,833 3,045 3,079

29.2 17.2 27.01.1 –0.3 0.3

22.0 6.1 11.9301443

287

529 13,951 47,2304.4 2.4 2.5

15.9 7.6 10.31.3 2.4 11.3

680 15,440 124,48088.8 10,343 58,917

499 555 68647.4 26.7 26.8490 605 73659.1 77.9 72.339.7 13.8 16.9

0.6 1.4 1.6

2,578 1,186 3,04724.5 51.6 19.3

87 91 8894 91 8893 89 8499 95 9492 40 4794 30 3683 61 66

9 32 2794 100 92

.. .. ..

.. .. ..10 57 59

26.4 30.6 28.85.5 9.1 8.21.4 2.8 3.20.0 1.5 2.90.0 0.4 0.80.4 1.2 0.80.2 1.2 0.90.8 1.2 0.9

20.8 19.0 17.5


Sri LankaCountry

data

SouthAsia

group




13,890 39,812.. 32,117

31.9 80.0

23 2913.3 ..

1,268 18,497.. 4,953

42.3 34.90.0 0.03.6 13.9

22

202

17.6 37,39815.7 –1.9–4.7 2.40.53 17.0180 82,2100.68 15,504

1,644 4,877.. 4.3.. 8,906.. 61.8.. 12.2

4.8 11.6

443 11,269.. 7.2.. 43

98 9998 9898 10087 9687 9387 97

.. 17

.. 76

.. ..

.. ..10 6

20.9 21.314.1 16.3

3.3 4.80.0 1.40.0 0.2

.. 0.00.4 0.3

.. 0.2

.. 7.7


St. Kitts and NevisCountry

data

High-income group



7,060 9,542 7,6046,865 7,878 6,164

18.5 79.0 61.8

17 38 44.. .. ..

1,582 4,576 1,160.. 4,161 4,391

77.0 48.2 29.1–0.1 0.5 0.016.9 21.4 16.1

25

216

2.3 11,967 93,7893.8 –0.1 1.60.4 10.0 8.9

0.16 14.3 8.5160 14,860 52,0701.9 39,988 50,160

752 1,292 1,893.. 16.0 8.5.. 1,985 2,932.. 37.3 74.7.. 55.1 20.0

2.3 2.7 5.4

.. 22,124 6,910

.. 2.2 7.3

.. 71 7094 94 9393 82 8599 97 9865 81 7464 62 6270 86 82

18 8 47100 33 81

.. .. ..

.. .. ..15 18 20

17.1 17.3 36.84.5 11.2 14.74.1 5.1 3.20.0 3.8 3.60.0 0.9 1.10.1 0.4 0.20.3 0.3 0.90.0 0.1 0.3

.. 5.7 19.4


St. LuciaCountry

data


group




.. 39,812

.. 32,117

.. 80.0

.. 29

.. ..

.. 18,497

.. 4,953

.. 34.90.0 0.0

.. 13.921

193

.. 37,398

.. –1.9

.. 2.4

.. 17.0

.. 82,210

.. 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 43

.. 99

.. 98

.. 100

.. 96

.. 93

.. 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


St. Martin (French part)Country

data

High-income group



6,460 9,542 7,6046,102 7,878 6,164

49.8 79.0 61.8

26 38 44.. .. ..

3,077 4,576 1,16024,857 4,161 4,391

68.9 48.2 29.1–0.3 0.5 0.010.9 21.4 16.1

22

215

39.5 11,967 93,7896.6 –0.1 1.6

.. 10.0 8.90.61 14.3 8.5140 14,860 52,0700.90 39,988 50,160

642 1,292 1,893.. 16.0 8.5.. 1,985 2,932.. 37.3 74.7.. 55.1 20.0

1.9 2.7 5.4

.. 22,124 6,910

.. 2.2 7.3

.. 71 7095 94 9395 82 8595 97 9876 81 7476 62 6276 86 82

17 8 47100 33 81

.. .. ..

.. .. ..19 18 20

–4.7 17.3 36.85.4 11.2 14.75.2 5.1 3.20.0 3.8 3.60.0 0.9 1.10.1 0.4 0.20.3 0.3 0.90.0 0.1 0.3

.. 5.7 19.4


St. Vincent and the GrenadinesCountry

data


group





1,550 1,686 2,0741,575 1,382 1,768

33.5 36.7 38.8

47 44 461.4 .. ..

1,683 673 932589 1,433 3,079

23.2 27.7 27.00.1 0.5 0.36.8 16.4 11.912152116

73.0 6,652 47,2303.6 1.8 2.59.8 15.6 10.3

32.9 .. 11.32,720 17,980 124,480

9.8 27,808 58,917

355 681 68667.1 57.6 26.8143 535 73624.8 65.1 72.375.2 20.0 16.9

0.3 0.8 1.6

81 4,120 3,047673.3 3.0 19.3

96 81 8856 64 8850 53 8466 85 9424 30 4713 23 3644 41 66

26 17 27100 72 92

.. 5 ..

.. 14 ..77 92 59

14.2 23.8 28.81.6 8.6 8.22.2 3.6 3.23.3 5.7 2.91.4 1.6 0.80.0 1.9 0.80.2 0.5 0.91.9 1.1 0.98.0 6.7 17.5

c

c

c

c

c

c

cc

c

c

c

c

c

c

SudanCountry

data



Population (millions) 38.0 Land area (1,000 sq. km) 2,376 GDP ($ billions) 66.6c

cc


9,370 9,542 7,6046,617 7,878 6,164

66.1 79.0 61.8

1 38 44.. .. ..

3,801 4,576 1,1604,496 4,161 4,391

94.6 48.2 29.10.0 0.5 0.0

14.7 21.4 16.196

2626

39.8 11,967 93,7897.4 –0.1 1.6

.. 10.0 8.922.9 14.3 8.5

.. 14,860 52,070510 39,988 50,160

1,399 1,292 1,893.. 16.0 8.5.. 1,985 2,932.. 37.3 74.7.. 55.1 20.0

4.5 2.7 5.4

183,579 22,124 6,9100.6 2.2 7.370 71 7095 94 9388 82 8598 97 9880 81 7461 62 6288 86 82

5 8 474 33 81.. .. .... .. ..

23 18 20

.. 17.3 36.812.5 11.2 14.7

3.4 5.1 3.27.0 3.8 3.6

12.7 0.9 1.10.0 0.4 0.20.5 0.3 0.90.2 0.1 0.3

.. 5.7 19.4


SurinameCountry

data


group




2,990 1,686 2,0742,293 1,382 1,768

21.3 36.7 38.8

71 44 46.. .. ..

1,373 673 9321,153 1,433 3,079

33.2 27.7 27.0–0.8 0.5 0.33.0 16.4 11.9

611

411

0.10 6,652 47,230.. 1.8 2.5

3.5 15.6 10.3.. .. 11.3.. 17,980 124,480.. 27,808 58,917

373 681 686.. 57.6 26.8.. 535 736.. 65.1 72.3.. 20.0 16.9

0.9 0.8 1.6

2,113 4,120 3,04739.5 3.0 19.3

97 81 8874 64 8869 53 8494 85 9458 30 4756 23 3663 41 66

5 17 270 72 928 5 ..

13 14 ..80 92 59

22.0 23.8 28.814.8 8.6 8.2

8.8 3.6 3.20.0 5.7 2.90.0 1.6 0.81.8 1.9 0.80.3 0.5 0.91.8 1.1 0.9

12.1 6.7 17.5


SwazilandCountry

data





61,710 39,81252,211 32,117

85.5 80.0

7 292.0 ..

40,393 18,4975,125 4,953

69.2 34.9–0.3 0.014.5 13.9

14

124

192 37,398–1.5 –1.91.7 2.4

10.2 17.0.. 82,210.. 15,504

5,190 4,87720.4 4.3

14,030 8,9062.5 61.8

44.2 12.25.6 11.6

17,812 11,2691.5 7.2

4 43100 99100 98100 100100 96100 93100 97

6 1710 76

.. ..

.. ..3 6

27.9 21.316.1 16.3

6.5 4.80.0 1.40.3 0.20.0 0.00.1 0.30.0 0.2

17.9 7.7


SwedenCountry

data

High-income group



90,680 39,81271,118 32,117

73.8 80.0

39 292.4 ..

27,289 18,4975,676 4,953

31.6 34.9–0.4 0.026.3 13.9

2394

3.3 37,398–2.2 –1.91.2 2.4

.. 17.0

.. 82,210

.. 15,504

3,207 4,8779.0 4.3

7,928 8,9061.7 61.8

51.5 12.25.0 11.6

4,995 11,2696.5 7.2

2 43100 99100 98100 100100 96100 93100 97

14 1796 76

.. ..

.. ..4 6

35.9 21.319.8 16.3

4.8 4.80.0 1.40.0 0.20.0 0.00.1 0.30.1 0.2

20.7 7.7


SwitzerlandCountry

data

High-income group



.. 3,456 2,074

.. 2,654 1,76856.9 60.1 38.8

76 23 4610.3 .. ..

.. .. 9321,576 2,561 3,079

2.7 2.4 27.0–1.3 –0.1 0.30.7 6.1 11.9161345

4

8.8 4,159 47,2302.0 3.0 2.51.7 12.6 10.3

0.63 2.7 11.3.. 5,700 124,480.. 217 58,917

910 1,376 6860.0 0.9 26.8

1,715 1,696 73692.0 91.7 72.3

8.0 5.5 16.92.9 3.9 1.6

312 656 3,047235.0 121.9 19.3

88 86 8890 90 8887 83 8492 95 9496 88 4795 80 3696 93 66

26 28 27100 100 92

.. .. ..

.. .. ..15 26 59

.. 27.9 28.8

.. 10.0 8.2

.. 4.1 3.2

.. 12.4 2.9

.. 0.4 0.8

.. 0.2 0.8

.. 0.9 0.9

.. 0.4 0.9

.. 8.1 17.5


Syrian Arab RepublicCountry

data

Middle East &

N. Africa group




990 7,114 728974 6,243 63726.6 60.1 30.0

35 66 3914.8 .. ..

1,167 5,070 3322,798 3,136 2,158

2.9 10.5 27.50.0 –0.5 0.64.8 5.1 13.8

895

12

1.6 1,036 12,3516.4 –3.9 3.9

–9.1 2.0 5.2.. .. .... .. 15,120.. .. 25,817

306 2,080 3590.0 2.9 66.0

1,714 2,954 2191.2 65.8 30.9

98.8 17.9 45.50.4 5.3 0.3

7,732 2,710 4,87518.1 31.6 4.2

91 67 9072 95 6964 89 6193 99 8794 94 3795 90 3394 97 46

17 17 1979 91 78

1 .. 615 .. 1448 23 76

16.7 18.6 23.14.3 8.9 7.53.7 3.6 3.10.2 3.6 1.10.9 0.7 1.50.0 0.0 4.50.4 0.8 0.30.7 0.6 1.6

13.0 7.5 9.2


TajikistanCountry

data

Europe & Central

Asiagroup

Low-income group



860 1,686 728798 1,382 63730.2 36.7 30.0

46 44 39.. .. ..

310 673 3321,418 1,433 2,158

36.8 27.7 27.51.1 0.5 0.6

32.2 16.4 13.83642

175496

393 6,652 12,351–0.4 1.8 3.99.1 15.6 5.2

18.2 .. ..3,580 17,980 15,1201,287 27,808 25,817

448 681 35988.2 57.6 66.0

92 535 21950.7 65.1 30.949.3 20.0 45.5

0.2 0.8 0.3

1,705 4,120 4,8756.2 3.0 4.289 81 9053 64 6944 53 6178 85 8712 30 37

8 23 3325 41 46

5 17 1911 72 78

4 5 615 14 1452 92 76

17.4 23.8 23.16.5 8.6 7.54.8 3.6 3.10.3 5.7 1.12.8 1.6 1.50.0 1.9 4.50.2 0.5 0.30.8 1.1 1.6

11.6 6.7 9.2


TanzaniaCountry

data


Low-income group



5,340 5,536 7,6044,234 4,520 6,164

47.9 50.9 61.8

43 48 44.. .. ..

1,166 822 1,1603,022 5,184 4,391

37.2 29.7 29.10.0 –0.4 0.0

18.8 15.1 16.1554496

133

2,901 115,605 93,789–1.3 3.4 1.65.8 9.1 8.95.1 2.2 8.5

2,130 137,690 52,0702,484 56,537 50,160

1,790 1,671 1,89318.3 10.1 8.5

2,316 2,582 2,93292.0 80.9 74.7

5.2 14.5 20.04.4 4.9 5.4

3,350 4,376 6,91025.5 10.9 7.3

90 73 7096 91 9395 85 8597 97 9893 67 7496 58 6289 76 82

21 55 4788 92 81

.. .. ..

.. .. ..13 20 20

30.6 47.9 36.817.1 16.6 14.7

3.8 2.2 3.23.5 2.2 3.60.1 1.2 1.10.9 0.1 0.20.9 1.1 0.90.2 0.4 0.3

11.7 28.4 19.4


ThailandCountry

data

East Asia & Pacific

group




3,940 5,536 2,074.. 4,520 1,768

31.5 50.9 38.8

26 48 46.. .. ..

363 822 9321,880 5,184 3,079

48.4 29.7 27.01.4 –0.4 0.38.7 15.1 11.9

4761

4.8 115,605 47,230.. 3.4 2.5.. 9.1 10.3

3.8 2.2 11.3.. 137,690 124,480

18.0 56,537 58,917

60 1,671 686.. 10.1 26.8.. 2,582 736.. 80.9 72.3.. 14.5 16.9

0.2 4.9 1.6

6,961 4,376 3,04714.3 10.9 19.3

91 73 8871 91 8861 85 8495 97 9439 67 4727 58 3669 76 66

5 55 270 92 922 .. ..

16 .. ..55 20 59

67.4 47.9 28.81.3 16.6 8.21.7 2.2 3.2

.. 2.2 2.90.0 1.2 0.8

.. 0.1 0.80.0 1.1 0.90.6 0.4 0.9

.. 28.4 17.5


Timor-LesteCountry

data

East Asia & Pacific

group




530 1,686 728460 1,382 63739.0 36.7 30.0

71 44 39.. .. ..

563 673 3321,258 1,433 2,158

4.9 27.7 27.55.1 0.5 0.6

24.7 16.4 13.810

82412

20.0 6,652 12,3511.0 1.8 3.9

–0.4 15.6 5.2.. .. .... 17,980 15,120

10.9 27,808 25,817

427 681 35982.1 57.6 66.0104 535 21924.5 65.1 30.974.1 20.0 45.5

0.2 0.8 0.3

1,687 4,120 4,8751.5 3.0 4.245 81 9060 64 6940 53 6191 85 8711 30 37

3 23 3326 41 46

21 17 19100 72 78

.. 5 6

.. 14 1485 92 76

0.0 23.8 23.16.0 8.6 7.54.8 3.6 3.10.0 5.7 1.11.3 1.6 1.57.9 1.9 4.50.5 0.5 0.33.0 1.1 1.6

–14.5 6.7 9.2


TogoCountry

data


Low-income group



4,490 5,536 7,6044,159 4,520 6,164

23.6 50.9 61.8

43 48 44.. .. ..

3,705 822 1,160.. 5,184 4,391

12.5 29.7 29.10.0 –0.4 0.0

15.6 15.1 16.125

124

2.0 115,605 93,7890.8 3.4 1.6

.. 9.1 8.99.4 2.2 8.5

1,500 137,690 52,0703.4 56,537 50,160

567 1,671 1,893.. 10.1 8.5.. 2,582 2,932.. 80.9 74.7.. 14.5 20.0

1.5 4.9 5.4

.. 4,376 6,910

.. 10.9 7.3

.. 73 7099 91 9399 85 8599 97 9891 67 7489 58 6299 76 82

5 55 47.. 92 81.. .. .... .. ..

12 20 20

17.6 47.9 36.88.5 16.6 14.72.9 2.2 3.20.0 2.2 3.60.0 1.2 1.10.1 0.1 0.20.4 1.1 0.9

.. 0.4 0.3

.. 28.4 19.4


TongaCountry

data

East Asia & Pacific

group




15,760 39,8128,960 32,117

8.7 80.0

11 29.. ..

1,901 18,4971,628 4,953

43.9 34.90.3 0.0

32.6 13.924

252

13.2 37,3980.3 –1.95.9 2.43.0 17.0

<100 82,21065.7 15,504

15,691 4,8770.1 4.3

6,332 8,906100.0 61.8

0.0 12.238.2 11.6

2,863 11,2696.0 7.2

9 4394 9993 9897 10092 9692 9392 97

4 172 76.. .... ..

21 6

44.6 21.311.9 16.3

2.9 4.831.5 1.4

0.0 0.20.0 0.02.5 0.30.0 0.2

.. 7.7


Trinidad and TobagoCountry

data

High-income group



4,200 3,456 7,6043,245 2,654 6,164

66.5 60.1 61.8

65 23 443.8 .. ..

4,426 .. 1,1601,691 2,561 4,391

6.7 2.4 29.1–1.9 –0.1 0.05.4 6.1 16.113

535

7

123 4,159 93,7891.0 3.0 1.6

11.4 12.6 8.92.5 2.7 8.5

.. 5,700 52,070

.. 217 50,160

890 1,376 1,89314.6 0.9 8.5

1,297 1,696 2,93299.0 91.7 74.7

0.3 5.5 20.02.5 3.9 5.4

385 656 6,91067.9 121.9 7.3

76 86 7097 90 9391 83 85

100 95 9890 88 7477 80 6297 93 82

19 28 47100 100 81

.. .. ..

.. .. ..15 26 20

13.6 27.9 36.816.6 10.0 14.7

5.8 4.1 3.23.8 12.4 3.60.4 0.4 1.10.4 0.2 0.20.6 0.9 0.90.3 0.4 0.3

–2.7 8.1 19.4


TunisiaCountry

data

Middle East &

N. Africagroup




10,970 7,114 7,60410,227 6,243 6,164

72.4 60.1 61.8

50 66 4413.6 .. ..

6,898 5,070 1,1603,249 3,136 4,391

15.0 10.5 29.1–1.1 –0.5 0.02.1 5.1 16.11714

126103

608 1,036 93,789–0.1 –3.9 1.617.5 2.0 8.9

2.7 .. 8.5.. .. 52,070.. .. 50,160

1,539 2,080 1,8933.3 2.9 8.5

2,709 2,954 2,93274.6 65.8 74.722.8 17.9 20.0

4.1 5.3 5.4

3,029 2,710 6,91017.7 31.6 7.3

74 67 70100 95 93

99 89 85100 99 98

91 94 7476 90 6297 97 82

17 17 4796 91 81

.. .. ..

.. .. ..19 23 20

13.2 18.6 36.85.4 8.9 14.72.6 3.6 3.20.1 3.6 3.60.2 0.7 1.10.0 0.0 0.20.4 0.8 0.90.4 0.6 0.39.3 7.5 19.4


TurkeyCountry

data

Europe & Central

Asia group




6,880 7,114 7,6042,453 6,243 6,164

49.4 60.1 61.8

72 66 44.. .. .... 5,070 1,160

1,988 3,136 4,391

8.8 10.5 29.10.0 –0.5 0.03.2 5.1 16.1

91211

4

15.0 1,036 93,789–4.4 –3.9 1.6

–17.4 2.0 8.9.. .. 8.5.. .. 52,070.. .. 50,160

4,839 2,080 1,8930.0 2.9 8.5

2,444 2,954 2,932100.0 65.8 74.7

0.0 17.9 20.010.5 5.3 5.4

268 2,710 6,9101,989.3 31.6 7.3

94 67 7071 95 9354 89 8589 99 9899 94 7498 90 62

100 97 82

48 17 47100 91 81

.. .. ..

.. .. ..55 23 20

.. 18.6 36.815.7 8.9 14.7

.. 3.6 3.222.5 3.6 3.6

0.0 0.7 1.10.0 0.0 0.22.0 0.8 0.91.1 0.6 0.3

.. 7.5 19.4


TurkmenistanCountry

data

Europe & Central

Asiagroup




.. 39,812

.. 32,11791.5 80.0

1 29.. .... 18,497.. 4,953

36.2 34.90.0 0.0

44.4 13.923

199

3.9 37,3980.2 –1.9

.. 2.40.95 17.0730 82,210236 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.25.2 11.6

.. 11,269

.. 7.2

.. 4387 9987 9887 10081 9681 9381 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


Turks and Caicos IslandsCountry

data

High income group



5,840 5,536 7,604.. 4,520 6,164

57.8 50.9 61.8

60 48 44.. .. ..

5,460 822 1,160.. 5,184 4,391

33.3 29.7 29.10.0 –0.4 0.01.9 15.1 16.1

11

100

15.2 115,605 93,78915.8 3.4 1.6

.. 9.1 8.90.33 2.2 8.5710 137,690 52,0700.40 56,537 50,160

.. 1,671 1,893

.. 10.1 8.5

.. 2,582 2,932

.. 80.9 74.7

.. 14.5 20.0

.. 4.9 5.4

.. 4,376 6,910

.. 10.9 7.3

.. 73 7098 91 9397 85 8598 97 9883 67 7480 58 6286 76 82

.. 55 47

.. 92 81

.. .. ..

.. .. ..29 20 20

.. 47.9 36.85.4 16.6 14.7

.. 2.2 3.20.0 2.2 3.60.0 1.2 1.1

.. 0.1 0.2

.. 1.1 0.9

.. 0.4 0.3

.. 28.4 19.4


TuvaluCountry

data

East Asia & Pacific

group




600 1,686 728515 1,382 63715.4 36.7 30.0

71 44 39.. .. ..

217 673 3322,143 1,433 2,158

14.1 27.7 27.52.6 0.5 0.6

11.5 16.4 13.825206148

517 6,652 12,3512.4 1.8 3.9

38.8 15.6 5.2.. .. .... 17,980 15,120.. 27,808 25,817

.. 681 359

.. 57.6 66.0

.. 535 219

.. 65.1 30.9

.. 20.0 45.50.1 0.8 0.3

1,038 4,120 4,8750.8 3.0 4.238 81 9075 64 6971 53 6195 85 8734 30 3734 23 3333 41 46

10 17 1995 72 7815 5 623 14 1466 92 76

22.1 23.8 23.16.2 8.6 7.52.9 3.6 3.10.0 5.7 1.10.2 1.6 1.5

13.1 1.9 4.50.2 0.5 0.30.8 1.1 1.64.5 6.7 9.2


UgandaCountry

data


Low-income group



3,960 7,114 2,0743,245 6,243 1,768

69.3 60.1 38.8

71 66 465.2 .. ..

4,375 5,070 9324,064 3,136 3,079

16.8 10.5 27.0–0.2 –0.5 0.34.0 5.1 11.911132116

227 1,036 47,230–6.1 –3.9 2.5–5.3 2.0 10.310.7 .. 11.3

.. .. 124,480

.. .. 58,917

2,766 2,080 6861.2 2.9 26.8

3,662 2,954 73648.0 65.8 72.3

5.6 17.9 16.96.6 5.3 1.6

1,167 2,710 3,04736.2 31.6 19.3

6 67 8898 95 8898 89 8498 99 9494 94 4789 90 3697 97 66

13 17 2794 91 92

.. .. ..

.. .. ..10 23 59

10.2 18.6 28.814.6 8.9 8.2

6.0 3.6 3.21.8 3.6 2.92.0 0.7 0.80.0 0.0 0.81.8 0.8 0.90.6 0.6 0.9

–4.7 7.5 17.5


UkraineCountry

data

Europe & Central

Asia group




38,360 39,81230,552 32,117

85.0 80.0

5 2919.1 ..

12,079 18,49772,443 4,953

3.8 34.9–0.2 0.018.1 13.9

87

140

72.8 37,398–1.2 –1.9

.. 2.49.2 17.0

1,190 82,21068.2 15,504

7,407 4,8770.1 4.3

9,389 8,906100.0 61.8

0.0 12.219.9 11.6

16 11,2692,665.3 7.2

83 43100 99100 98100 100

98 9695 9398 97

80 17100 76

.. ..

.. ..8 6

.. 21.312.8 16.3

.. 4.811.7 1.4

0.0 0.20.0 0.00.5 0.30.2 0.2

.. 7.7


United Arab EmiratesCountry

data

High-income group



41,680 39,81235,557 32,117

82.1 80.0

71 29.. ..

28,162 18,4976,630 4,953

12.0 34.9–0.3 0.027.9 13.9

54

4315

827 37,398–0.9 –1.96.1 2.4

16.6 17.0.. 82,210.. 15,504

2,973 4,8773.3 4.3

5,472 8,90671.3 61.8

1.6 12.27.9 11.6

2,262 11,2699.0 7.210 43

100 99100 98100 100100 96100 93100 97

14 1784 76

.. ..

.. ..5 6

12.9 21.313.4 16.3

5.7 4.80.8 1.40.0 0.20.0 0.00.2 0.30.1 0.24.0 7.7


United KingdomCountry

data

High-income group



53,470 39,81244,957 32,117

81.3 80.0

45 29.. ..

63,269 18,4977,340 4,953

33.3 34.9–0.1 0.013.8 13.9

3575

236277

5,683 37,398–0.3 –1.91.5 2.4

30.4 17.01,250 82,2103,030 15,504

7,032 4,8774.2 4.3

13,246 8,90668.4 61.8

7.4 12.217.6 11.6

8,914 11,26917.0 7.2

40 4399 9998 9899 100

100 96100 93100 97

13 1772 76

.. ..

.. ..7 6

17.1 21.315.5 16.3

4.8 4.80.8 1.40.1 0.20.0 0.00.3 0.30.2 0.25.1 7.7


United StatesCountry

data

High-income group



15,180 39,81214,076 32,117

95.0 80.0

87 291.3 ..

10,975 18,4973,925 4,953

10.5 34.9–2.1 0.02.7 13.910223822

59.4 37,398–1.8 –1.920.5 2.4

1.7 17.0.. 82,210.. 15,504

1,309 4,87729.3 4.3

2,810 8,90628.1 61.862.6 12.2

2.0 11.6

27,061 11,2694.0 7.287 43

100 9995 98

100 10096 9696 9397 97

6 170 76.. .... ..

11 6

17.8 21.39.4 16.34.4 4.80.0 1.40.1 0.21.5 0.00.1 0.30.0 0.2

11.1 7.7


UruguayCountry

data

High-income group



1,880 7,114 2,0741,592 6,243 1,768

36.2 60.1 38.8

63 66 46.. .. ..

2,183 5,070 9324,766 3,136 3,079

7.7 10.5 27.0–0.2 –0.5 0.33.4 5.1 11.91012

717

10.9 1,036 47,230–0.8 –3.9 2.5–4.9 2.0 10.3

.. .. 11.3

.. .. 124,480

.. .. 58,917

1,628 2,080 6860.0 2.9 26.8

1,626 2,954 73680.5 65.8 72.319.5 17.9 16.9

3.7 5.3 1.6

540 2,710 3,047342.7 31.6 19.3

90 67 8887 95 8881 89 8499 99 94

100 94 47100 90 36100 97 66

22 17 2799 91 92

.. .. ..

.. .. ..43 23 59

.. 18.6 28.83.7 8.9 8.29.4 3.6 3.29.1 3.6 2.94.4 0.7 0.80.0 0.0 0.82.3 0.8 0.91.0 0.6 0.9

.. 7.5 17.5


UzbekistanCountry

data

Europe & Central

Asiagroup




3,130 5,536 2,0742,861 4,520 1,768

25.5 50.9 38.8

15 48 46.. .. ..

2,839 822 932633 5,184 3,079

36.1 29.7 27.00.0 –0.4 0.34.2 15.1 11.9

79

1510

57.8 115,605 47,2301.4 3.4 2.5

.. 9.1 10.30.04 2.2 11.3

4,110 137,690 124,48020.5 56,537 58,917

159 1,671 686.. 10.1 26.8.. 2,582 736.. 80.9 72.3.. 14.5 16.9

0.5 4.9 1.6

.. 4,376 3,047

.. 10.9 19.3

.. 73 8891 91 8888 85 8498 97 9458 67 4755 58 3665 76 66

5 55 270 92 92.. .. .... .. ..

17 20 59

21.4 47.9 28.88.9 16.6 8.25.0 2.2 3.20.0 2.2 2.90.0 1.2 0.80.0 0.1 0.80.2 1.1 0.90.1 0.4 0.9

.. 28.4 17.5


VanuatuCountry

data

East Asia & Pacific

group


Population (thousands) 253 Land area (1,000 sq. km) 12 GDP ($ millions) 828.2


12,550 9,542 7,60411,894 7,878 6,164

88.9 79.0 61.8

24 38 44.. .. ..

9,210 4,576 1,1603,390 4,161 4,391

51.8 48.2 29.10.6 0.5 0.0

53.0 21.4 16.134383777

227 11,967 93,789–2.2 –0.1 1.617.6 10.0 8.916.0 14.3 8.5480 14,860 52,070

3,569 39,988 50,160

2,380 1,292 1,8930.9 16.0 8.5

3,313 1,985 2,93231.5 37.3 74.768.5 55.1 20.0

6.9 2.7 5.4

26,476 22,124 6,9102.8 2.2 7.374 71 7093 94 9375 82 8594 97 9891 81 7457 62 6294 86 82

8 8 4710 33 81

.. .. ..

.. .. ..15 18 20

26.3 17.3 36.86.1 11.2 14.75.8 5.1 3.29.6 3.8 3.60.5 0.9 1.10.0 0.4 0.20.5 0.3 0.90.0 0.1 0.3

13.4 5.7 19.4


Venezuela, RBCountry

data


group




1,740 5,536 2,0741,464 4,520 1,768

32.3 50.9 38.8

35 48 46.. .. ..

476 822 9325,425 5,184 3,079

45.4 29.7 27.0–1.6 –0.4 0.36.5 15.1 11.9524073

177

6,098 115,605 47,2305.7 3.4 2.5

14.0 9.1 10.31.7 2.2 11.3

1,270 137,690 124,4801,056 56,537 58,917

697 1,671 68624.0 10.1 26.8

1,073 2,582 73669.8 80.9 72.330.1 14.5 16.9

1.7 4.9 1.6

4,006 4,376 3,04722.8 10.9 19.3

95 73 8895 91 8894 85 8498 97 9475 67 4767 58 3693 76 66

30 55 2798 92 92

.. .. ..

.. .. ..24 20 59

33.4 47.9 28.814.4 16.6 8.2

5.4 2.2 3.24.6 2.2 2.90.3 1.2 0.80.7 0.1 0.81.1 1.1 0.90.4 0.4 0.9

17.3 28.4 17.5


VietnamCountry

data

East Asia & Pacific

group




.. 39,812

.. 32,11795.1 80.0

11 29.. .... 18,497.. 4,953

56.9 34.90.8 0.0

15.3 13.921

1612

0.48 37,398–1.6 –1.9

.. 2.42.0 17.0

200 82,2102.6 15,504

.. 4,877

.. 4.3

.. 8,906

.. 61.8

.. 12.2

.. 11.6

.. 11,269

.. 7.2

.. 43100 99100 98100 100

96 9696 9396 97

.. 17

.. 76

.. ..

.. ..

.. 6

.. 21.3

.. 16.3

.. 4.8

.. 1.4

.. 0.2

.. 0.0

.. 0.3

.. 0.2

.. 7.7


Virgin Islands (U.S.)Country

data

High-income group



3,070 3,456 2,074.. 2,654 1,768

74.8 60.1 38.8

43 23 464.9 .. ..

2,510 .. 9321,583 2,561 3,079

1.5 2.4 27.0–0.1 –0.1 0.30.6 6.1 11.9

3800

.. 4,159 47,230

.. 3.0 2.5

.. 12.6 10.3

.. 2.7 11.3

.. 5,700 124,480

.. 217 58,917

.. 1,376 686

.. 0.9 26.8

.. 1,696 736

.. 91.7 72.3

.. 5.5 16.90.6 3.9 1.6

195 656 3,04751.5 121.9 19.3

45 86 8882 90 8882 83 8482 95 9494 88 4793 80 3695 93 66

25 28 27100 100 92

.. .. ..

.. .. ..22 26 59

5.2 27.9 28.89.0 10.0 8.2

.. 4.1 3.20.0 12.4 2.90.0 0.4 0.8

.. 0.2 0.80.2 0.9 0.90.4 0.4 0.9

.. 8.1 17.5


West Bank and GazaCountry

data

Middle East &

N. Africa group




1,330 3,456 2,0741,208 2,654 1,768

33.5 60.1 38.8

45 23 46.. .. .... .. 932

1,008 2,561 3,079

1.0 2.4 27.00.0 –0.1 0.30.8 6.1 11.9

91224

162

210 4,159 47,2304.4 3.0 2.5

.. 12.6 10.33.3 2.7 11.3

700 5,700 124,4809.3 217 58,917

312 1,376 6861.5 0.9 26.8

193 1,696 736100.0 91.7 72.3

0.0 5.5 16.91.0 3.9 1.6

86 656 3,047169.8 121.9 19.3

91 86 8855 90 8847 83 8472 95 9453 88 4734 80 3693 93 66

30 28 27100 100 92

.. .. ..

.. .. ..51 26 59

.. 27.9 28.87.6 10.0 8.24.1 4.1 3.27.5 12.4 2.90.0 0.4 0.80.0 0.2 0.80.6 0.9 0.91.4 0.4 0.9

.. 8.1 17.5


Yemen, Rep.Country

data

Middle East &

N. Africagroup




1,810 1,686 2,0741,333 1,382 1,768

40.0 36.7 38.8

32 44 46.. .. ..

341 673 9322,532 1,433 3,079

66.1 27.7 27.00.3 0.5 0.3

37.8 16.4 11.910162014

107 6,652 47,2301.3 1.8 2.5

12.1 15.6 10.3.. .. 11.3.. 17,980 124,480.. 27,808 58,917

621 681 68680.2 57.6 26.8599 535 7360.3 65.1 72.3

99.7 20.0 16.90.2 0.8 1.6

5,516 4,120 3,0472.0 3.0 19.373 81 8863 64 8849 53 8485 85 9443 30 4734 23 3656 41 66

6 17 275 72 925 5 ..

16 14 ..87 92 59

33.7 23.8 28.815.1 8.6 8.2

1.3 3.6 3.20.0 5.7 2.9

10.4 1.6 0.80.0 1.9 0.80.1 0.5 0.91.6 1.1 0.96.0 6.7 17.5


ZambiaCountry

data





860 1,686 728836 1,382 63732.7 36.7 30.0

42 44 39.. .. ..

228 673 332724 1,433 2,158

38.7 27.7 27.51.9 0.5 0.6

27.2 16.4 13.89

143

17

20.6 6,652 12,351–3.8 1.8 3.919.8 15.6 5.2

.. .. ..

.. 17,980 15,120

.. 27,808 25,817

697 681 35964.2 57.6 66.0757 535 21925.6 65.1 30.973.6 20.0 45.5

0.7 0.8 0.3

866 4,120 4,87534.3 3.0 4.2

79 81 9080 64 6969 53 6197 85 8740 30 3732 23 3352 41 46

5 17 190 72 784 5 6

13 14 1489 92 76

.. 23.8 23.10.2 8.6 7.52.4 3.6 3.10.5 5.7 1.14.4 1.6 1.50.0 1.9 4.51.0 0.5 0.31.0 1.1 1.6

.. 6.7 9.2


ZimbabweCountry

data


Low-income group



a. Data series will be calculated upon finalization of the ongoing revisions to official statistics reported by the National Statistics and Censuses Institute of Argentina.

b. Refers to area free from ice.

c. Includes South Sudan.

Notes


Access to improved sanitation refers to the percentage of the population using improved sanitation facilities. The improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. The improved sanitation facilities include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet. (WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation; data are for 2012)

Access to improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot, or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection). (WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation; data are for 2012)

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 Joint Monitoring Programme for Water and Sanitation; data are for the most recent year available during 2007–12)

Adjusted net national income per capita equals gross national income minus consumption of fixed capital, energy depletion, mineral depletion, and net forest depletion, divided by midyear population. (World Bank; data are for 2013)

Adjusted net savings equal gross savings minus consumption of fixed capital, plus education expenditures, minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and air pollution damage. (World Bank; data are for 2013; air pollution data are for 2010, the most recent year available)

Agricultural irrigated land refers to agricultural areas purposely provided with water, including land irrigated by controlled flooding. (Food and Agriculture Organization; data are for 2012)

Agricultural land is arable land, land under permanent crops, and permanent pastures. Arable land includes land defined by the Food and Agriculture Organization of the United Nations as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops. (Food and Agriculture Organization; data are for 2012)

Glossary


Agricultural productivity is the ratio of agricultural value added, measured in 2005 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. (Food and Agriculture Organization and World Bank; data are for 2013)

Air pollution damage is the damage due to exposure of a country’s population to ambient concentrations of particulates measuring less than 2.5 microns in diameter (PM2.5). Damages are calculated as productivity losses in the workforce due to premature death and illness. (Data on health impacts from exposure to ambient PM2.5 pollution are from the Global Burden of Disease study; data are for 2010)

Aquaculture growth is the exponential change in aquaculture fisheries production for the period indicated. Aquaculture is understood to mean the farming of aquatic organisms including fish, molluscs, crustaceans, and aquatic plants. Aquaculture production specifically refers to output from aquaculture activities, which are designated for final harvest for consumption. (Food and Agriculture Organization; data are for 1990–2013)

Capture fisheries growth is the exponential change in capture fisheries production for the period indicated. Capture fisheries production measures the volume of fish catches landed by a country for all commercial, industrial, recreational, and subsistence purposes. (Food and Agriculture Organization; data are for 1990–2013)

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 2013)

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 2010)

Cereal yield measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. The FAO allocates production data to the calendar year in which the bulk of the harvest took place. Most of a crop harvested near the end of a year will be used in the following year. (Food and Agriculture Organization; data are for 2013)

Consumption of fixed capital is the replacement value of capital used up in the process of production. (United Nations; data are extrapolated to 2013 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

Glossary


Glossaryfound on them. (See The World Atlas of Coral Reefs (2001), UNEP-World Conservation Monitoring Centre)

Deforestation is the permanent conversion of natural forest area to other uses, including shifting cultivation, permanent agriculture, ranching, settlements, and infrastructure development. Deforested areas do not include areas logged but intended for regeneration or areas degraded by fuel-wood gathering, acid precipitation, or forest fires. Negative numbers indicate an increase in forest areas. (Food and Agriculture Organization; data are for 2000–11)

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 2007–12)

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 2013 from the most recent year available)

Electric power consumption per capita is the production of power plants and combined heat and power plants, minus transmission, distribution, and transformation losses and own use by heat and power plants plus imports minus exports divided by midyear population. (International Energy Agency; data are for 2011)

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 2011)

Electricity generated using fossil fuel is use of coal, oil, and gas as a percentage of total inputs to the generation of electricity. (International Energy Agency; data are for 2011)

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 2013)

Energy from biomass products and waste is energy from solid biomass, liquid biomass, biogas, industrial waste, and municipal waste as a percentage of total energy use. (International Energy Agency; data are for 2011)

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 2011)

Fisheries production, total, measures the volume of aquatic species caught by a country for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture, and other types of


fish farming is also included. (Food and Agriculture Organization; data are for 2013)

Forest area is land under natural or planted stands of trees, whether productive or not. (Food and Agriculture Organization; data are for 2012)

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

Indicators 2015, Primary data documentation.)

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

2015, Primary data documentation.)

GDP is gross domestic product and measures the total output of goods and services for final use occurring within the domestic territory of a given country, regardless of the allocation to domestic and foreign claims. GDP at purchaser values (market prices) is the sum of gross value added by all resident and nonresident producers in the economy plus any taxes and minus any subsidies not included in the value of the products. It is calculated without deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. (World Bank, Organization for Economic Co-operation and Development, and United Nations; data are for 2013)

GNI is gross domestic product plus net receipts of primary income (employee compensation and property income) from abroad. GNI per capita is in current U.S. dollars, converted using the World Bank Atlas method (see World Development Indicators 2015, Statistical methods). (World Bank, Organization for Economic Co-operation and Development, and United Nations; data are for 2013)

GNI per capita is gross national income (GNI) divided by midyear population.

Gross savings are calculated as gross national income less total consumption, plus net transfers. (World Bank and Organization for Economic Co-operation and Development; data are for 2013)

Internal freshwater resources per capita are internal renewable resources, which include flows of rivers and groundwater from rainfall in the country but excludes river flows from other countries, divided by midyear population. (Refers to data reported to the Food and Agriculture Organization as of 2013)

Land area is a country’s total land area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones.

Glossary


GlossaryIn most cases the definition of inland water bodies includes major rivers and lakes. (Food and Agriculture Organization; data are for 2013)

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 intertidal 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 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 2012)

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 2013)

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 2013)

PM2.5 pollution, mean annual exposure, is the average level of exposure of a nation’s population to concentrations of suspended particulates measuring less than 2.5 microns in diameter, which are capable of penetrating deep into the respiratory tract and causing severe health damage. Exposure is calculated by weighting mean annual concentrations of PM2.5 by population in both urban and rural areas. (Data are provided by the Institute for Health Metrics and Evaluation at the University of Washington; data are for 2010)

PM2.5 exposure (% pop. exceeding WHO guideline level) is the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 10 micrograms per cubic meter, the guideline value recommended by the World Health Organization as the lower end of the range of concentrations over which adverse health effects due to PM2.5

exposure have been observed. (Data are provided by the Institute for Health Metrics and Evaluation at the University of Washington; data are for 2010)

Population includes all residents who are present regardless of legal status or citizenship except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. (United Nations; data are midyear estimates for 2013)

Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated as national parks, natural


Glossarymonuments, 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 2012)

Threatened species, birds, are the number of species of birds classified by the International Union for Conservation of Nature (IUCN) as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. Birds are listed for countries included within their breeding or wintering ranges. (World Conservation Monitoring Centre and IUCN; data are for 2014)

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 2014)

Threatened species, higher plants, are the number of native vascular plant species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. (World Conservation Monitoring Centre and IUCN; data are for 2014)

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 2014)

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 2013)

Urban population is the share of the midyear population living in areas defined as urban in each country. (United Nations; data are for 2013)


Lim, S.S., T. Vos, A.D. Flaxman, G. Danaei, K. Shibuya, et al. 2012. “A Comparative Risk Assessment of Burden of Disease and Injury Attributable to 67 Risk Factors and Risk Factor Clusters in 21 Regions, 1990–2010: A Systematic Analysis for the Global Burden of Disease Study 2010.” Lancet 380: 2224-60, doi:10.1016/S0140-6736(12)61766-8.

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

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

World Bank. 2015. World Development Indicators 2015. Washington, D.C.: World Bank.

References

the little green data book 2015

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