The Little Data Book on Private Sector Development 2011...

From World Development Indicators

The Little Data Book on Private SectorDevelopment

Economic and social context

Investment climate

Private sector investment

Finance and banking

Infrastructure

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Typewritten Text

63846

2011 THE LITTLE DATA BOOKON PRIVATE SECTORDEVELOPMENT

Copyright ©2011 by the International Bank for

Reconstruction and Development/THE WORLD BANK

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

U.S.A.

All rights reserved

Manufactured in the United States of America

First printing July 2011

ISBN: 978-0-8213-8861-7

eISBN: 978-0-8213-8884-6

DOI: 10.1596/978-0-8213-8861-7

SKU: 18861

The Little Data Book on Private Sector Development 2011 is a product

of the Development Data Group of the Development Economics

Vice Presidency and the Investment Climate Department of the Financial

and Private Sector Development Vice Presidency of the World Bank Group.

Design by Communications Development Incorporated, Washington, D.C.

iiiThe Little Data Book on Private Sector Development 2011

ContentsAcknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v

Data notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Glossary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231

iv 2011 The Little Data Book on Private Sector Development

The Little Data Book on Private Sector Development 2011 is based on World

Development Indicators 2011 and its accompanying CD-ROM, with a focus

on the private sector in development. The Little Data Book on Private Sector

Development 2011 is the result of close collaboration between the staff of

the World Bank’s Development Data Group of the Development Economics

Vice Presidency and the Investment Climate Department of the Financial and

Private Sector Development Vice Presidency. The Development Data Group

team included Azita Amjadi, David Cieslikowski, Federico Escaler, Buyant

Erdene Khaltarkhuu, Alison Kwong, William Prince, and Jomo Tariku. The

Investment Climate Department's team included Nathalie David and Ayse

Boybeyi. The work was carried out under the management of Shaida Badiee,

director of the Development Data Group, and Pierre Guislain, director of the

Investment Climate Department. The book was typeset by Jomo Tariku. Staff

from External Affairs oversaw publication and dissemination of the book.

Acknowledgments

vThe Little Data Book on Private Sector Development 2011

Preface Access to reliable cross-country data on private sector development is crucial

when formulating responses to economic crisis. When downturns affect

exports, investment and growth negatively, making life easier for business

is a significant step towards economic recovery. This became very obvious

during the global financial crises when governments were trying to stimulate

economic growth through the creation of more robust private and finance

markets. Improving the investment climate facilitates economic adjustment

as it helps attract capital to create jobs and provide basic services.

Unsurprisingly, the availability of cross-country data on the business

environment has rapidly expanded in recent years, including data from the

World Bank’s Doing Business project, Enterprise Surveys, and the World

Bank Group Entrepreneurship Snapshots.

The data sources presented in this book report on the scope and types of

regulations that enhance — and constrain — business activity and provide

information on business owners’ assessment of the business environment.

The data have led to new research, enabled benchmarking, and informed

the reform process in many developing countries.

Included in this guide are indicators on the economic and social context,

the investment climate, private sector investment, finance and banking, and

infrastructure. Though a pocket guide cannot include all relevant variables,

the indicators that are included provide users with a general understanding

of the private sector in each country. Indicators displayed in the tables are

defined in the Glossary, which also lists data sources.

We welcome your suggestions on how to improve future editions and make

them more useful.

vi 2011 The Little Data Book on Private Sector Development

The data in this book are for 2000 and 2009 or the most recent year unless

otherwise noted in the table or the Glossary.

• Growth rates are proportional changes from the previous year unless

otherwise noted.

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

economies only.

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

specified.

Symbols used:

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

be calculated because of missing data.

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

to zero at the displayed number of decimal places.

$ indicates current U.S. dollars.

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

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

(used interchangeably with economy) does not imply political independence

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

the authorities report separate social or economic statistics.

Data notes

1The Little Data Book on Private Sector Development 2011

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

regions and may differ from common geographic usage.

East Asia and Pacific

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

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

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

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

Timor-Leste, Tonga, Tuvalu, Vanuatu, Vietnam

Europe and Central Asia

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

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

Yugoslav Republic of Macedonia, Moldova, Montenegro, Romania,

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

Uzbekistan

Latin America and the Caribbean

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

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

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

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

Vincent and the Grenadines, Suriname, Uruguay, República Bolivariana

de Venezuela

Middle East and North Africa

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

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

Bank and Gaza, Republic of Yemen

South Asia

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

Lanka

Sub-Saharan Africa

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

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

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

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

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

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

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

Uganda, Zambia, Zimbabwe

Regional tables


Population (millions)Labor force (millions)Unemployment rate (% of labor force)GNI per capita, World Bank Atlas method ($)GDP growth, 1995–2000 and 2000–09 (average annual %)Agriculture value added (% of GDP)Industry value added (% of GDP)

Manufacturing value added (% of GDP)Services value added (% of GDP)Inflation (annual % change in consumer price index)Exchange rate (local currency units per $)Exports of goods and services (% of GDP)Imports of goods and services (% of GDP) Investment climate

Ease of doing business index (ranking 1–183; 1 = best)Time to start a business (days)Procedures to start a business (number)Firing cost (weeks of wages)Closing a business (years to resolve insolvency)Total tax rate (% of profit)Profit tax (% of commercial profits)New businesses registered (thousands)New business density (new regis. per working-age pop.)Enterprise surveys

Time dealing with gov’t officials (% of management time)Firms expected to give gifts in meetings w/tax officials (%)Firms using banks to finance investments (% of firms)Delay in obtaining an electrical connection (days)ISO certification ownership (% of firms)


Invest. in infrastructure w/private participation ($ millions)Private foreign direct investment, net (% of GDP)Gross fixed capital formation (% of GDP)Gross fixed private capital formation (% of GDP) Finance and banking

Government cash surplus or deficit (% of GDP)Government debt (% of GDP)Deposit money banks’ assets (% of GDP)Total financial system deposits (% of GDP)Bank capital to asset ratio (%)Bank nonperforming loans to total gross loans ratio (%)Domestic credit to the private sector (% of GDP)Real interest rate (%)Interest rate spread (percentage points) Infrastructure

Paved roads (% of total roads)Electric power consumption (kWh per capita)Power outages in a typical month (number)Mobile cellular subscriptions (per 100 people)Internet users (per 100 people)

2 2011 The Little Data Book on Private Sector Development

World

2000 2009

6,085.0 6,775.22,755.3 3,175.8

5.6 6.65,293 8,732

3.3 2.93.6 2.9

28.9 27.019.2 16.867.5 70.2

24.4 24.224.5 24.3

.. 34

.. 8

.. 51.2

.. 2.9

.. 47.817.9

.. ..5.0 2.0

21.6 19.5.. ..

-0.2 -7.1.. ..

103.9 124.688.6 91.5

8.7 9.49.5 4.2

129.3 138.2

7.0 6.2

49.0 ..2,389 2,875

12.2 69.06.7 27.1











East Asia & Pacific

2000 2009

1,807.1 1,943.8985.3 1,090.7

3.6 4.6902 3,1636.0 9.4

15.0 11.444.4 45.030.7 31.740.6 43.4

35.5 34.931.3 29.7

.. 40

.. 8

.. 56.7

.. 3.1

.. 36.518.4

17,993 11,4672.6 1.6

30.5 39.48.9 18.8

-2.6 -2.0.. ..

109.5 125.349.0 56.0

.. ..

.. ..98.9 117.0

6.9 7.1

11.4 ..879 1,972

5.8 61.61.9 24.1











Europe & Central Asia

2000 2009

399.7 404.2176.4 187.210.2 9.2

1,756 6,7932.1 5.9

10.8 7.534.7 30.418.2 16.654.5 62.1

37.0 29.831.0 28.7

.. 18

.. 6

.. 25.9

.. 2.9

.. 42.210.0

8,448 23,0821.3 3.3

18.8 21.115.6 17.2

.. -0.4

.. ..27.7 54.322.3 40.214.0 13.311.0 9.314.8 45.0

14.8 5.7

67.4 ..3,316 4,052

6.5 118.72.0 36.4











Latin America & Caribbean

2000 2009

512.4 572.5221.0 269.3

9.0 7.93,831 7,007

3.0 3.85.6 6.1

29.6 30.618.3 16.864.8 63.3

20.0 21.021.1 21.0

.. 60

.. 9

.. 55.5

.. 3.2

.. 47.921.4

36,956 52,8213.9 1.9

18.4 19.9.. 14.3

-1.5 -1.7.. ..

44.5 59.032.1 44.0

9.6 9.67.5 3.0

27.0 40.8

8.3 7.7

24.3 ..1,568 1,907

12.1 89.53.8 31.5











Middle East & North Africa

2000 2009

280.5 330.989.1 115.214.3 10.6

1,617 3,5974.5 4.7

12.5 10.643.3 43.012.5 11.744.2 46.5

26.8 38.225.6 33.2

.. 23

.. 8

.. 54.8

.. 3.5

.. 41.616.6

1,310 4,0151.0 2.6

22.0 24.714.0 15.0

.. -3.0

.. ..53.0 48.352.0 58.5

.. ..

.. ..34.4 34.5

4.9 4.3

68.7 81.01,044 1,494

2.2 67.40.9 21.5











South Asia

2000 2009

1,362.4 1,567.7515.4 625.9

4.5 4.8442 1,1075.4 7.3

23.9 18.325.8 26.815.4 15.350.3 54.9

14.2 18.915.9 24.2

.. 25

.. 7

.. 75.8

.. 4.5

.. 39.917.8

3,027 39,9070.7 2.3

22.2 28.615.8 21.0

-4.0 -4.664.6 56.541.8 63.741.9 60.54.9 6.4

19.5 10.527.7 43.5

6.9 5.9

47.5 51.8359 503

0.3 45.50.5 5.5











Sub-Saharan Africa

2000 2009

671.8 839.6263.1 341.0

.. ..488 1,1253.2 5.1

16.3 13.129.4 29.514.9 12.754.3 57.3

32.4 29.730.7 33.5

.. 43

.. 9

.. 66.2

.. 3.4

.. 68.223.3

2,787 11,3332.0 3.1

16.3 22.311.8 13.4

.. -1.0

.. ..41.9 53.232.3 40.3

.. ..

.. ..61.5 65.1

12.6 8.5

12.1 ..490 531

1.7 37.30.5 8.8


For operational and analytical purposes the World Bank’s main criterion

for classifying economies is gross national income (GNI) per capita. Every

economy in The Little Data Book on Private Sector Development is classified

as low income, middle income, or high income. Low- and middle-income

economies are sometimes referred to as developing economies. The use of

the term is convenient; it is not intended to imply that all economies in the

group are experiencing similar development or that other economies have

reached a preferred or final stage of development. Classification by income

does not necessarily reflect development status.

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

in 2009.

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

$995 but less than $12,196. Lower-middle-income and upper-middle-income

economies are separated at a GNI per capita of $3,945.

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

Euro area includes the member states of the Economic and Monetary Union

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

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

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

Spain.

Income group tables











Low income

2000 2009

694.7 846.1302.6 384.5

.. ..264 5094.1 5.4

34.0 26.121.3 24.411.5 12.444.7 49.5

19.2 23.227.6 35.9

.. 41

.. 8

.. 71.0

.. 3.7

.. 76.524.8

630 4,7791.6 2.7

18.7 22.912.1 15.8

.. -1.4

.. ..24.1 31.824.4 30.6

.. ..

.. ..18.4 26.3

13.6 11.5

12.0 ..184 231

0.3 26.60.1 2.7











Middle income

2000 2009

4,339.2 4,812.51,947.7 2,244.8

5.4 6.21,267 3,397

4.1 6.411.4 9.635.5 35.021.5 21.053.1 55.4

27.3 27.025.4 26.1

.. 39

.. 8

.. 49.5

.. 3.1

.. 41.517.1

80,173 142,1072.6 2.2

22.6 27.313.3 18.4

-2.3 -1.5.. ..

62.9 86.438.7 51.5

9.5 10.111.3 4.850.2 72.8

8.2 6.3

35.4 ..1,071 1,670

4.9 66.71.7 20.9











Lower middle income

2000 2009

3,416.4 3,810.81,555.1 1,786.5

4.3 5.3741 2,3215.6 8.5

17.1 13.339.5 38.924.7 25.843.4 47.7

27.7 28.926.3 28.3

.. 35

.. 8

.. 57.7

.. 3.3

.. 40.216.3

21,404 41,4772.1 2.0

27.2 34.911.1 19.9

-3.2 -2.3.. ..

84.0 107.643.7 54.9

8.8 10.016.8 5.171.9 92.9

8.3 7.3

35.4 ..693 1,318

3.3 57.81.1 17.2











Upper middle income

2000 2009

922.7 1,001.7392.6 458.2

11.1 9.13,214 7,502

2.9 4.46.6 6.2

32.2 31.518.5 16.761.2 62.4

26.9 25.424.7 24.2

.. 43

.. 8

.. 40.1

.. 2.9

.. 43.018.0

32,746 64,8993.0 2.4

18.8 20.7.. 15.6

-1.4 -0.6.. ..

45.3 60.634.6 47.4

9.6 9.78.1 4.2

32.0 47.8

7.8 5.5

36.8 ..2,469 3,001

10.8 100.63.8 34.6











Low and middle income

2000 2009

5,033.9 5,658.72,250.3 2,629.2

5.3 6.51,128 2,968

4.1 6.412.1 10.035.1 34.721.2 20.852.8 55.2

27.0 26.925.5 26.4

.. 39

.. 8

.. 55.7

.. 3.3

.. 51.119.2

40,472 127,6132.6 2.2

22.5 27.213.2 18.4

-2.3 -1.5.. ..

62.0 85.938.4 51.3

.. ..12.0 5.349.4 72.0

8.7 6.8

24.3 ..975 1,505

4.3 60.71.5 18.1











Euro area

2000 2009

311.6 327.3143.9 158.5

9.2 9.421,980 38,872

2.8 1.52.5 1.5

27.8 24.119.9 15.369.7 74.3

36.6 36.336.0 34.8

.. 14

.. 6

.. 36.4

.. 1.7

.. 45.713.5

.. ..11.6 3.021.4 19.5

.. ..

0.1 -5.258.9 69.9

118.3 151.474.7 106.56.4 6.52.6 3.6

97.7 133.1

4.2 3.5

91.8 100.06,363 6,970

60.3 123.222.8 67.3











High income

2000 2009

1,051.1 1,116.6504.9 546.6

6.5 8.125,241 37,990

3.1 2.01.9 1.5

27.7 25.018.8 15.970.5 73.5

23.8 23.624.3 23.9

.. 18

.. 6

.. 37.9

.. 2.1

.. 38.614.3

.. ..5.6 2.0

21.5 18.0.. ..

0.1 -7.754.2 55.7

113.1 140.0100.5 108.5

7.0 6.84.4 3.4

147.0 165.1

4.3 3.8

88.5 93.48,939 9,518

49.9 111.230.5 72.3


China

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

China; or Taiwan, China.

Cyprus

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

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

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

Georgia

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

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

2011 or data.worldbank.org.

Kosovo, Montenegro, and Serbia

Montenegro declared independence from Serbia and Montenegro on June 3,

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

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

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

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

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

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

data are shown where available.

Moldova

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

For more information, see World Development Indicators 2011 or data.world-

bank.org.

Morocco

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

Spanish Sahara. For more information, see World Development Indicators

2011 or data.worldbank.org.

Netherlands Antilles

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

Maarten became countries within the Kingdom of Netherlands. Bonaire,

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

Tanzania

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

Tanzania only. For more information, see World Development Indicators 2011

or data.worldbank.org.

Country tables











Country data

Low-income group

2000 2008 2008

AfghanistanSouth Asia Low income

23.6 29.8 8467.4 9.6 384

.. 8.5 ..

.. 310 509

.. 10.5 5.445.2 32.5 26.119.7 22.1 24.415.0 13.3 12.435.1 45.4 49.5

.. -13.247.4 50.230.6 15.6 23.261.6 47.7 35.9

.. 167

.. 7 41

.. 4 8

.. 30.0 71.0

.. .. 3.7

.. 36.4 76.5

.. 0.0 24.8

.. ..

.. ..

.. 6.8

.. 28.8

.. 1.4

.. 45.8

.. 8.5

70 60 4,7790.0 1.3 2.7

11.6 25.0 22.91.1 8.7 15.8

.. 0.2 -1.4

.. .. ..

.. .. 31.8

.. .. 30.6

.. .. ..

.. .. ..

.. 9.1 26.3

.. 36.1

.. .. 11.5

.. 29.3 12.0

.. .. 231

.. 20.30.0 40.3 26.60.0 3.4 2.7











Europe & Central Asia Upper middle income

Country data

Upper middle-income group

2000 2009 2009

Albania

3.1 3.2 1,0021.3 1.4 458

22.7 12.7 9.11,170 4,000 7,502

5.2 5.4 4.429.1 20.8 6.219.0 19.7 31.511.4 19.7 16.751.9 59.5 62.4

0.1 2.3143.7 95.0

19.1 28.7 25.437.5 54.4 24.2

.. 82

.. 5 43

.. 5 8

.. 56.0 40.1

.. .. 2.9

.. 40.6 43.0

.. 8.5 18.0

.. 2.0

.. 0.8

11.4 18.783.8 22.410.4 12.427.4 41.714.0 24.6

102 1,003 64,8993.9 8.1 2.4

24.7 29.0 20.718.1 20.6 15.6

-6.7 -3.0 -0.651.9 .. ..34.8 62.0 60.643.8 57.9 47.4

.. 8.7 9.7

.. 10.5 4.24.7 37.0 47.8

17.0 10.113.8 5.9 5.5

39.0 .. 36.81,218 1,372 3,001

.. 37.81.0 131.9 100.60.1 41.2 34.6











Country data


2000 2009 2009

Middle East & North Africa Upper middle income

Algeria

30.5 34.9 1,00211.1 14.8 45829.8 11.3 9.1

1,610 4,420 7,5023.2 4.0 4.48.9 11.7 6.2

58.6 54.5 31.57.5 6.1 16.7

32.5 33.7 62.40.3 5.7

75.3 72.641.2 40.4 25.421.4 36.1 24.2

.. 136

.. 24 43

.. 14 8

.. 17.0 40.1

.. 2.5 2.9

.. 72.0 43.0

.. 6.6 18.0

.. 10.5

.. 0.4

.. 25.1

.. 15.027.6 8.9

124.9 49.1.. 5.0

472 974 64,8990.8 2.0 2.4

20.7 33.0 20.712.9 33.0 15.6

.. -4.4 -0.6

.. .. ..33.4 35.0 60.626.1 47.2 47.4

.. .. 9.7

.. .. 4.26.0 16.2 47.8

-11.7 19.22.5 6.3 5.5

68.9 73.5 36.8695 957 3,001

.. 4.80.3 93.8 100.60.5 13.5 34.6











Country data


2000 2009 2009

East Asia & Pacific Upper middle income

American Samoa

0.06 0.07 1,002.. .. 458

5.1 .. 9.1.. .. 7,502.. .. 4.4.. .. 6.2.. .. 31.5.. .. 16.7.. .. 62.4.. .... .... .. 25.4.. .. 24.2

.. ..

.. .. 43

.. .. 8

.. .. 40.1

.. .. 2.9

.. .. 43.0

.. .. 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. 64,899

.. .. 2.4

.. .. 20.7

.. .. 15.6

.. .. -0.6

.. .. ..

.. .. 60.6

.. .. 47.4

.. .. 9.7

.. .. 4.2

.. .. 47.8

.. ..

.. .. 5.5

.. .. 36.8

.. .. 3,001

.. ..3.5 3.6 100.6

.. .. 34.6











Country data

High-income group

2000 2009 2009

High income

Andorra

.. 0.09 1,117

.. .. 547

.. .. 8.1

.. 41,130 37,9904.6 5.9 2.0

.. .. 1.5

.. .. 25.0

.. .. 15.9

.. .. 73.5

.. ..

.. ..

.. .. 23.6

.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..

.. 76.6 111.2

.. 70.5 72.3











Sub-Saharan Africa Lower middle income

Country data

Lower middle-income group

2000 2009 2009

Angola

14.3 18.5 3,8116.2 8.3 1,787

.. .. 5.3410 3,750 2,3216.3 13.1 8.55.7 10.2 13.3

72.1 59.0 38.92.9 6.1 25.8

22.2 30.8 47.7325.0 13.7

10.0 79.389.6 52.2 28.962.8 46.2 28.3

.. 163

.. 68 35

.. 8 8

.. 58.0 57.7

.. 6.2 3.3

.. 53.2 40.2

.. 24.6 16.3

.. ..

.. ..

.. 7.1

.. 14.8

.. 2.1

.. 60.2

.. 5.1

68 354 41,4779.6 2.9 2.0

15.1 14.8 34.98.9 2.4 19.9

.. .. -2.3

.. .. ..2.2 26.0 107.6

13.9 20.2 54.910.6 .. 10.010.4 .. 5.12.0 21.2 92.9

-60.8 22.863.6 8.1 7.3

10.4 .. 36.386 189 1,318

.. 7.60.2 43.8 57.80.1 3.3 17.2











Country data


2000 2009 2009

Latin America & Caribbean Upper middle income

Antigua and Barbuda

0.08 0.09 1,002.. .. 458

8.4 .. 9.17,960 12,130 7,502

4.4 5.2 4.43.9 3.6 6.2

19.8 28.1 31.52.3 1.8 16.7

76.3 68.4 62.40.5 2.42.7 2.7

70.3 47.5 25.475.1 68.2 24.2

.. 64

.. 21 43

.. 8 8

.. 52.0 40.1

.. 3.0 2.9

.. 41.5 43.0

.. 26.0 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. 64,8996.5 11.4 2.4

48.1 75.8 20.724.9 .. 15.6

.. .. -0.6

.. .. ..93.6 105.1 60.693.5 103.1 47.4

.. .. 9.7

.. .. 4.272.9 80.6 47.811.7 7.17.0 6.6 5.5

33.0 .. 36.8.. .. 3,001.. ..

28.5 154.0 100.66.5 74.2 34.6












Country data


2000 2009 2009

Argentina

36.9 40.3 1,00216.3 19.6 45815.0 8.6 9.1

7,460 7,550 7,5022.7 5.4 4.45.0 7.5 6.2

27.6 31.8 31.517.5 21.2 16.767.4 60.7 62.4-0.9 6.31.0 3.7

10.9 21.4 25.411.5 16.0 24.2

.. 115

.. 26 43

.. 14 8

.. 95.0 40.1

.. 2.8 2.9

.. 108.2 43.0

.. 2.8 18.0

.. 11.9

.. 0.5

.. 13.8

.. 4.3

.. 6.9

.. 45.9

.. 26.9

4,863 1,670 64,8993.7 1.3 2.4

16.2 20.9 20.715.2 20.4 15.6

-5.7 -0.5 -0.6.. .. ..

33.2 23.0 60.627.5 20.2 47.4

.. 13.3 9.716.0 3.0 4.223.9 13.5 47.8

9.9 5.22.7 4.1 5.5

29.4 30.0 36.82,085 2,789 3,001

.. 1.117.6 128.8 100.67.0 30.4 34.6











Country data


2000 2009 2009

Europe & Central Asia Lower middle income

Armenia

3.1 3.1 3,8111.5 1.6 1,787

35.9 28.6 5.3660 3,100 2,3215.1 10.5 8.5

25.5 20.7 13.335.4 34.6 38.924.1 15.7 25.839.0 44.8 47.7-0.8 3.4

539.5 363.323.4 12.0 28.950.5 36.5 28.3

.. 48

.. 15 35

.. 6 8

.. 13.0 57.7

.. 1.9 3.3

.. 40.7 40.2

.. 16.6 16.3

.. 2.7

.. 1.3

1.9 10.333.7 13.35.3 31.92.3 16.3

12.6 26.9

33 199 41,4775.5 8.9 2.0

18.4 30.8 34.915.9 25.6 19.9

.. -7.5 -2.3

.. .. ..11.6 24.6 107.68.9 17.4 54.9

14.3 21.0 10.017.5 4.8 5.19.9 23.1 92.9

33.4 17.113.5 10.1 7.3

96.8 90.5 36.31,295 1,578 1,318

.. 2.20.6 85.0 57.81.3 6.8 17.2











High income

Country data

High-income group

2000 2009 2009

Aruba

0.09 0.11 1,117.. .. 547

6.9 5.7 8.1.. .. 37,990

4.4 .. 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5

4.0 -2.11.8 1.8

69.9 .. 23.691.2 .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..-6.9 .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.746.1 57.0 140.047.9 63.6 108.5

.. .. 6.8

.. .. 3.445.2 57.0 165.1

7.7 9.85.9 7.4 3.8

.. .. 93.4

.. .. 9,518

.. ..16.5 120.2 111.215.4 22.5 72.3











Country data

High-income group

2000 2009 2009

High income

Australia

19.2 21.9 1,1179.6 11.5 5476.3 5.6 8.1

21,260 43,770 37,9904.4 3.3 2.03.5 2.5 1.5

26.9 29.1 25.013.2 10.5 15.969.6 68.4 73.5

4.5 1.81.7 1.3

19.3 19.8 23.621.3 21.6 23.9

.. 10

.. 2 18

.. 2 6

.. 4.0 37.9

.. 1.0 2.1

.. 47.9 38.6

.. 25.9 14.3

.. 90.0

.. 6.4

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..3.3 2.4 2.0

24.1 27.1 18.0.. .. ..

2.0 -2.4 -7.729.5 24.1 55.787.7 131.4 140.061.1 96.6 108.56.9 5.0 6.80.5 1.2 3.4

87.4 127.8 165.16.5 1.05.1 3.2 3.8

38.7 .. 93.410,194 11,217 9,518

.. ..44.7 110.7 111.246.8 72.0 72.3











High income

Country data

High-income group

2000 2009 2009

Austria

8.0 8.4 1,1173.9 4.3 5473.5 4.8 8.1

25,840 46,450 37,9903.0 2.0 2.02.0 1.5 1.5

30.8 29.2 25.020.6 18.6 15.967.2 69.3 73.52.4 0.5

12.4 ..46.4 50.5 23.644.7 46.0 23.9

.. 32

.. 28 18

.. 8 6

.. 2.0 37.9

.. 1.1 2.1

.. 55.5 38.6

.. 15.7 14.3

.. 3.2

.. 0.6

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..4.5 2.3 2.0

24.0 21.1 18.0.. .. ..

-2.0 -2.6 -7.765.9 70.7 55.7

125.1 139.7 140.080.8 100.8 108.5

5.2 7.0 6.82.4 2.3 3.4

103.1 126.9 165.15.2 ..3.4 .. 3.8

100.0 100.0 93.47,109 8,218 9,518

.. ..76.4 140.8 111.233.7 73.5 72.3











Country data


2000 2009 2009


Azerbaijan

8.0 8.8 1,0023.5 4.2 458

16.3 6.1 9.1610 4,840 7,5027.3 17.9 4.4

17.1 8.2 6.245.3 60.0 31.5

5.6 4.5 16.737.5 31.8 62.41.8 1.40.9 0.8

39.0 52.5 25.438.4 24.8 24.2

.. 54

.. 8 43

.. 6 8

.. 22.0 40.1

.. 2.7 2.9

.. 40.9 43.0

.. 13.8 18.0

.. 5.3

.. 0.9

3.0 3.061.1 43.24.6 19.06.0 9.7

12.1 18.2

61 208 64,8992.5 1.1 2.4

23.1 21.9 20.720.1 9.4 15.6

.. 0.4 -0.6

.. .. ..10.5 24.7 60.610.6 12.3 47.4

.. .. 9.728.0 .. 4.2

5.9 19.6 47.86.4 44.26.8 7.8 5.5

.. 50.6 36.82,040 2,317 3,001

.. 2.95.2 88.3 100.60.1 42.0 34.6











High income

Country data

High-income group

2000 2009 2009

Bahamas, The

0.30 0.34 1,1170.16 0.19 5476.9 14.2 8.1

17,040 21,390 37,9905.5 1.3 2.02.0 1.6 1.5

19.3 19.7 25.05.4 4.5 15.9

78.7 78.7 73.51.6 2.11.0 1.0

43.3 45.3 23.651.9 68.1 23.9

.. 77

.. 31 18

.. 7 6

.. 26.0 37.9

.. 5.0 2.1

.. 46.1 38.6

.. 0.0 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..4.5 9.9 2.0

33.8 37.8 18.0.. .. ..

0.4 -1.1 -7.727.4 34.1 55.770.2 97.4 140.059.7 75.2 108.5

.. .. 6.8

.. .. 3.465.5 86.0 165.1

3.0 3.11.9 1.7 3.8

57.4 .. 93.4.. .. 9,518.. ..

10.3 105.0 111.24.3 33.9 72.3











Country data

High-income group

2000 2009 2009

High income

Bahrain

0.65 0.79 1,1170.30 0.37 547

5.5 .. 8.110,740 25,420 37,990

4.3 6.6 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5

-0.7 2.80.4 0.4

89.4 96.8 23.664.4 74.3 23.9

.. 28

.. 9 18

.. 7 6

.. 4.0 37.9

.. 2.5 2.1

.. 15.0 38.6

.. 0.0 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..4.6 1.2 2.0

13.5 31.9 18.0.. .. ..

8.5 6.4 -7.729.3 14.7 55.756.8 95.2 140.067.1 87.2 108.5

.. .. 6.8

.. .. 3.446.1 79.6 165.1-2.4 -3.05.8 6.4 3.8

77.6 81.5 93.48,831 13,144 9,518

.. ..31.6 199.4 111.26.2 82.0 72.3











South Asia Low income

Country data

Low-income group

2000 2009 2009

Bangladesh

140.8 162.2 84662.8 78.6 384

3.3 4.3 ..350 580 5095.2 5.9 5.4

25.5 18.7 26.125.3 28.7 24.415.2 17.9 12.449.2 52.6 49.5

2.2 5.452.1 69.014.0 19.4 23.219.2 26.6 35.9

.. 107

.. 19 41

.. 7 8

.. 104.0 71.0

.. 4.0 3.7

.. 35.0 76.5

.. 25.7 24.8

.. ..

.. ..

3.7 3.285.8 54.456.5 24.779.6 50.3

.. 7.8

93 437 4,7790.6 0.8 2.7

23.0 24.4 22.915.6 19.7 15.8

-0.7 -1.7 -1.436.2 36.2 ..32.4 58.2 31.829.8 48.1 30.6

3.5 6.5 ..34.9 11.2 ..24.7 41.5 26.313.4 7.66.9 6.4 11.5

9.5 9.5 12.095 208 231

.. 101.60.2 31.1 26.60.1 0.4 2.7











Country data

High-income group

2000 2009 2009

High income

Barbados

0.25 0.26 1,1170.14 0.15 5479.3 8.1 8.1

9,670 .. 37,9903.7 .. 2.04.3 3.8 1.5

16.3 18.4 25.06.4 7.3 15.9

79.4 77.9 73.52.4 3.62.0 2.0

50.5 60.6 23.657.0 64.6 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..0.8 8.3 2.0

18.4 22.4 18.016.2 24.0 ..

.. -5.6 -7.7

.. 92.7 55.768.7 114.1 140.063.1 130.3 108.5

.. .. 6.8

.. .. 3.457.3 102.9 165.19.4 ..5.2 6.3 3.8

98.6 100.0 93.4.. .. 9,518.. ..

11.3 131.7 111.24.0 56.1 72.3












Country data


2000 2009 2009

Belarus

10.0 9.7 1,0024.8 5.0 458

.. .. 9.11,380 5,560 7,502

6.7 8.4 4.414.2 9.6 6.239.2 42.5 31.531.6 30.0 16.746.7 47.9 62.4

168.6 12.9876.8 2,789.569.2 50.7 25.472.4 62.1 24.2

.. 68

.. 5 43

.. 5 8

.. 22.0 40.1

.. 5.8 2.9

.. 80.4 43.0

.. 22.0 18.0

.. 5.5

.. 0.8

6.2 13.634.5 6.411.4 35.814.7 15.210.6 13.9

39 833 64,8990.9 3.8 2.4

25.2 36.9 20.722.7 28.6 15.6

0.1 0.2 -0.615.0 18.1 ..18.2 44.3 60.614.9 24.0 47.415.1 16.6 9.710.8 4.2 4.28.9 37.3 47.8

-41.2 7.530.1 1.0 5.5

95.6 88.6 36.82,989 3,427 3,001

.. 1.40.5 100.2 100.61.9 45.9 34.6











Country data

High-income group

2000 2009 2009

High income

Belgium

10.3 10.8 1,1174.4 4.8 5476.6 7.9 8.1

25,400 45,270 37,9902.9 1.7 2.01.4 0.7 1.5

27.0 21.7 25.019.3 14.0 15.971.6 77.6 73.52.5 -0.1

36.3 ..78.2 73.0 23.675.3 70.2 23.9

.. 25

.. 4 18

.. 3 6

.. 16.0 37.9

.. 0.9 2.1

.. 57.0 38.6

.. 4.8 14.3

.. 29.5

.. 4.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..92.5 -8.2 2.021.1 21.3 18.0

.. .. ..

0.0 -5.1 -7.7106.8 92.4 55.7125.2 118.6 140.0

82.4 105.6 108.52.8 4.5 6.82.8 2.7 3.4

77.9 97.9 165.15.9 7.14.4 5.2 3.8

78.2 78.2 93.48,247 8,523 9,518

.. ..54.9 115.1 111.229.3 75.2 72.3











Latin America & Caribbean Lower middle income

Country data


2000 2009 2009

Belize

0.25 0.33 3,8110.09 0.14 1,787

9.1 8.2 5.33,110 3,740 2,321

5.8 4.2 8.516.7 12.2 13.321.2 22.8 38.910.9 14.3 25.862.1 65.1 47.7

0.6 -1.12.0 2.0

53.0 62.1 28.973.7 70.0 28.3

.. 99

.. 44 35

.. 9 8

.. 24.0 57.7

.. 1.0 3.3

.. 33.2 40.2

.. 24.7 16.3

.. 0.5

.. 3.0

.. ..

.. ..

.. ..

.. ..

.. ..

18 22 41,4772.8 7.0 2.0

28.7 25.5 34.9.. .. 19.9

-2.9 .. -2.3.. .. ..

46.7 69.6 107.648.0 71.6 54.9

.. .. 10.0

.. .. 5.140.8 65.9 92.915.5 14.58.3 5.7 7.3

17.0 .. 36.3.. .. 1,318.. ..

6.7 48.6 57.86.0 10.8 17.2











Country data

Low-income group

2000 2009 2009

Sub-Saharan Africa Low income

Benin

6.7 8.9 8462.7 3.7 3840.7 .. ..

360 750 5095.3 4.0 5.4

36.5 32.2 26.113.9 13.4 24.48.8 7.5 12.4

49.6 54.4 49.54.2 2.2

712.0 472.215.2 13.8 23.228.1 28.2 35.9

.. 170

.. 31 41

.. 7 8

.. 36.0 71.0

.. 4.0 3.7

.. 66.0 76.5

.. 14.8 24.8

.. ..

.. ..

.. 20.7

.. 26.8

.. 4.2

.. 86.8

.. 7.3

90 127 4,7792.6 1.4 2.7

18.9 25.0 22.911.3 15.4 15.8

0.7 -4.5 -1.4.. .. ..

13.1 20.2 31.815.6 21.8 30.6

.. .. ..

.. .. ..12.1 22.2 26.3

.. ..

.. .. 11.5

20.0 9.5 12.060 76 231

.. 13.90.8 56.3 26.60.2 2.2 2.7











High income

Country data

High-income group

2000 2009 2009

Bermuda

0.06 0.06 1,117.. .. 547

2.7 .. 8.1.. .. 37,990

3.6 3.2 2.00.7 0.8 1.59.2 7.5 25.0

.. .. 15.990.1 91.7 73.5

.. ..1.0 1.0

.. 26.3 23.6

.. 36.1 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..20.9 132.0 111.243.5 83.9 72.3











Country data


2000 2009 2009

South Asia Lower middle income

Bhutan

0.56 0.70 3,8110.18 0.30 1,787

.. 3.7 5.3730 2,020 2,3216.2 8.8 8.5

28.4 17.6 13.335.3 45.0 38.9

8.5 6.4 25.836.3 37.4 47.7

4.0 4.444.9 48.430.5 58.0 28.951.3 48.3 28.3

.. 142

.. 46 35

.. 8 8

.. 10.0 57.7

.. .. 3.3

.. 40.6 40.2

.. 35.0 16.3

.. 0.0

.. 0.0

.. 16.0

.. 2.5

.. 64.2

.. 14.8

.. 5.4

.. 201 41,477

.. 2.8 2.050.6 53.6 34.938.6 43.6 19.9

-2.5 0.5 -2.340.2 56.2 ..11.6 37.8 107.647.0 69.3 54.9

.. .. 10.0

.. .. 5.19.1 32.1 92.9

10.8 9.37.8 9.5 7.3

60.7 62.0 36.3.. .. 1,318.. 3.1

0.0 46.9 57.80.4 7.2 17.2



Country data


2000 2009 2009

Bolivia

8.3 9.9 3,8113.6 4.5 1,7874.8 5.2 5.3

1,000 1,630 2,3213.5 4.1 8.5

15.0 13.8 13.329.8 36.2 38.915.3 14.4 25.855.2 49.9 47.7

4.6 3.36.2 7.0

18.3 35.7 28.927.3 32.9 28.3

.. 149

.. 50 35

.. 15 8

.. ..a 57.7

.. 1.8 3.3

.. 80.0 40.2

.. 0.0 16.3

.. 2.5

.. 0.4

.. 13.5

.. 19.6

.. 22.2

.. 15.2

.. 13.8

323 37 41,4778.8 2.4 2.0

17.9 16.5 34.912.8 6.6 19.9

-8.7 1.2 -2.3.. .. ..

61.0 33.5 107.646.1 38.8 54.9

9.8 8.7 10.010.3 3.5 5.158.7 37.0 92.927.9 15.123.6 8.9 7.3

6.6 7.0 36.3421 561 1,318

.. 0.87.0 72.5 57.81.4 11.2 17.2




















Country data


2000 2009 2009


Bosnia and Herzegovina

3.7 3.8 1,0021.8 1.9 458

.. 23.9 9.11,510 4,700 7,50225.2 5.0 4.410.6 8.0 6.223.0 28.1 31.510.1 12.9 16.766.4 63.9 62.4

.. -0.42.1 1.4

28.7 33.4 25.475.5 58.0 24.2

.. 110

.. 55 43

.. 12 8

.. 31.0 40.1

.. 3.3 2.9

.. 23.0 43.0

.. 5.3 18.0

.. 1.9

.. 0.6

7.8 11.265.2 1.525.8 59.7

4.3 50.213.9 30.1

.. 64 64,8992.7 1.4 2.4

20.6 19.7 20.710.0 13.3 15.6

.. -4.3 -0.6

.. .. ..40.9 50.8 60.6

6.8 13.6 47.420.1 15.2 9.79.9 5.9 4.2

37.4 57.3 47.81.3 7.9

15.8 4.3 5.5

52.3 52.3 36.82,062 2,467 3,001

.. 3.22.5 86.5 100.61.1 37.7 34.6











Sub-Saharan Africa Upper middle income

Country data


2000 2009 2009

Botswana

1.7 1.9 1,0020.80 1.00 45815.8 17.6 9.1

3,180 6,260 7,5027.8 4.4 4.42.7 3.1 6.2

52.6 39.6 31.54.5 4.2 16.7

44.7 57.3 62.48.6 8.05.1 7.2

53.3 33.6 25.441.2 44.6 24.2

.. 52

.. 61 43

.. 10 8

.. 90.0 40.1

.. 1.7 2.9

.. 19.5 43.0

.. 15.9 18.0

.. ..

.. ..

.. 5.0

.. 4.5

.. 11.3

.. 25.5

.. 12.7

17 86 64,8991.0 2.1 2.4

25.8 28.2 20.714.7 8.9 15.6

.. .. -0.6

.. .. ..16.7 26.9 60.623.4 44.7 47.410.3 .. 9.7

1.7 .. 4.215.1 25.5 47.815.4 20.6

6.1 6.3 5.5

35.3 32.6 36.8924 1,503 3,001

.. 1.712.9 96.1 100.6

2.9 6.2 34.6











Country data


2000 2009 2009


Brazil

174.2 193.7 1,00283.4 101.5 458

9.3 8.3 9.13,870 8,070 7,502

1.7 3.6 4.45.6 6.1 6.2

27.7 25.4 31.517.2 15.8 16.766.7 68.5 62.4

7.0 4.91.8 2.0

10.0 11.1 25.411.7 11.2 24.2

.. 127

.. 120 43

.. 15 8

.. 46.0 40.1

.. 4.0 2.9

.. 69.0 43.0

.. 21.4 18.0

.. 315.6

.. 2.4

.. 18.7

.. 16.4

.. 48.4

.. 36.8

.. 25.7

21,032 39,176 64,8995.1 1.6 2.4

16.8 16.9 20.7.. 14.4 15.6

-1.8 -3.5 -0.6.. 61.0 ..

66.9 89.4 60.644.3 66.4 47.412.1 9.5 9.78.3 4.2 4.2

31.7 54.0 47.847.7 36.839.6 35.4 5.5

5.5 .. 36.81,894 2,232 3,001

.. 2.713.3 89.8 100.6

2.9 39.2 34.6











Country data

High-income group

2000 2009 2009

High income

Brunei Darussalam

0.33 0.40 1,1170.15 0.20 547

.. .. 8.114,670 27,050 37,990

1.0 2.1 2.01.0 0.7 1.5

63.7 71.0 25.015.4 10.4 15.935.3 28.3 73.5

1.6 1.01.7 1.5

67.4 67.7 23.635.8 27.8 23.9

.. 112

.. 105 18

.. 15 6

.. 4.0 37.9

.. 2.5 2.1

.. 29.8 38.6

.. 24.2 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..1.1 0.8 2.0

13.0 13.0 18.0.. .. ..

.. .. -7.7

.. .. 55.769.9 33.8 140.0

111.3 71.8 108.5.. .. 6.8.. .. 3.4

50.3 37.4 165.1-18.2 4.5

.. 4.8 3.8

34.7 77.2 93.47,539 8,308 9,518

.. ..28.5 106.7 111.2

9.0 79.8 72.3











Country data


2000 2009 2009


Bulgaria

8.1 7.6 1,0023.6 3.6 458

16.2 6.8 9.11,640 6,060 7,502

0.7 5.4 4.413.6 5.6 6.225.9 30.3 31.517.6 15.4 16.760.6 64.1 62.410.3 2.8

2.1 1.450.5 47.8 25.455.8 55.8 24.2

.. 51

.. 18 43

.. 4 8

.. 9.0 40.1

.. 3.3 2.9

.. 29.0 43.0

.. 4.6 18.0

.. 35.5

.. 7.2

2.6 10.653.4 6.619.2 34.7

5.0 44.814.7 19.9

157 810 64,8997.8 9.4 2.4

15.8 24.4 20.711.8 19.4 15.6

-0.4 -0.1 -0.6.. .. ..

15.5 78.5 60.622.7 57.5 47.415.3 10.8 9.717.3 6.4 4.212.3 75.6 47.8

4.4 7.08.2 5.2 5.5

92.1 98.4 36.83,724 4,594 3,001

.. 3.79.2 140.0 100.65.3 44.8 34.6












Country data

Low-income group

2000 2009 2009

Burkina Faso

11.7 15.8 8465.2 7.1 3842.4 .. ..

250 510 5096.8 5.4 5.4

29.0 33.3 26.124.4 22.4 24.416.2 13.6 12.446.6 44.4 49.5-0.3 2.6

712.0 472.29.1 11.5 23.2

25.2 26.8 35.9

.. 151

.. 14 41

.. 4 8

.. 34.0 71.0

.. 4.0 3.7

.. 44.9 76.5

.. 16.1 24.8

.. 0.6

.. 0.1

.. 22.2

.. 6.7

.. 25.6

.. 23.1

.. 14.4

27 193 4,7790.9 2.1 2.7

18.7 20.8 22.911.0 11.1 15.8

-3.6 -4.8 -1.4.. .. ..

12.9 17.4 31.813.1 16.3 30.6

.. .. ..

.. .. ..11.7 17.5 26.3

.. ..

.. .. 11.5

16.0 4.2 12.0.. .. 231.. 10.8

0.2 20.9 26.60.1 1.1 2.7











Country data

Low-income group

2000 2009 2009


Burundi

6.5 8.3 8463.1 4.6 384

.. .. ..120 150 509-0.7 3.0 5.440.4 34.8 26.118.8 20.0 24.4

8.7 8.8 12.440.8 45.1 49.524.3 11.0

720.7 1,230.27.8 10.7 23.2

19.9 47.0 35.9

.. 181

.. 32 41

.. 11 8

.. 26.0 71.0

.. .. 3.7

.. 153.4 76.5

.. 19.4 24.8

.. ..

.. ..

.. 5.7

.. 22.6

.. 12.3

.. 24.1

.. 7.1

36 6 4,7791.6 0.0 2.76.1 16.4 22.90.8 1.7 15.8

-2.4 .. -1.4162.6 .. ..20.4 24.2 31.814.5 31.5 30.6

.. .. ..

.. .. ..25.0 21.7 26.32.3 0.4

.. .. 11.5

7.1 10.4 12.0.. .. 231.. 12.0

0.3 10.1 26.60.1 0.8 2.7











East Asia & Pacific Low income

Country data

Low-income group

2000 2009 2009

Cambodia

12.8 14.8 8465.9 7.8 3842.5 .. ..

280 650 5097.3 9.0 5.4

37.8 35.3 26.123.0 22.6 24.416.9 15.0 12.439.1 42.0 49.5-0.8 -0.7

3,840.8 4,139.349.8 59.6 23.261.8 62.7 35.9

.. 147

.. 85 41

.. 9 8

.. 39.0 71.0

.. .. 3.7

.. 22.5 76.5

.. 18.9 24.8

.. 2.0

.. 0.2

.. 5.6

.. 60.3

.. 11.3

.. 15.5

.. 2.8

2 231 4,7794.1 5.1 2.7

18.3 20.0 22.911.9 11.3 15.8

-3.4 -2.3 -1.4.. .. ..

6.4 17.5 31.89.5 26.5 30.6

.. .. ..

.. .. ..6.4 24.5 26.3

.. ..

.. .. 11.5

7.5 6.3 12.029 113 231

.. 27.01.0 37.8 26.60.0 0.5 2.7












Country data


2000 2009 2009

Cameroon

15.9 19.5 3,8116.0 7.7 1,7877.5 2.9 5.3

620 1,190 2,3214.8 3.3 8.5

22.1 19.5 13.336.0 30.6 38.920.8 16.5 25.841.8 49.9 47.71.2 3.0

712.0 472.223.3 26.6 28.919.7 30.9 28.3

.. 168

.. 19 35

.. 6 8

.. 33.0 57.7

.. 3.2 3.3

.. 49.1 40.2

.. 29.9 16.3

.. ..

.. ..

.. 7.0

.. 30.8

.. 31.4

.. 17.6

.. 20.4

95 278 41,4771.6 1.5 2.0

16.0 17.1 34.913.9 12.4 19.9

0.1 .. -2.391.7 .. ..12.1 11.5 107.611.1 14.6 54.9

.. .. 10.0

.. .. 5.18.2 11.3 92.9

18.6 12.717.0 10.8 7.3

8.1 8.4 36.3171 263 1,318

.. 10.50.7 37.9 57.80.3 3.8 17.2











Country data

High-income group

2000 2009 2009

High income

Canada

30.8 33.7 1,11716.3 19.1 5476.8 8.3 8.1

22,130 41,980 37,9904.3 2.1 2.02.3 1.6 1.5

33.2 31.8 25.019.2 14.0 15.964.5 66.5 73.5

2.7 0.31.5 1.1

45.6 28.7 23.639.8 30.4 23.9

.. 7

.. 5 18

.. 1 6

.. 28.0 37.9

.. 0.8 2.1

.. 29.2 38.6

.. 9.8 14.3

.. 174.0

.. 7.6

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..9.1 1.5 2.0

19.2 21.5 18.0.. .. ..

2.2 -1.9 -7.756.7 53.2 55.785.8 176.7 140.070.1 123.0 108.5

4.7 5.7 6.81.3 1.3 3.4

95.7 128.6 165.13.0 4.63.8 2.3 3.8

.. 39.9 93.416,991 17,061 9,518

.. ..28.4 68.4 111.242.2 77.7 72.3











Country data


2000 2009 2009


Cape Verde

0.44 0.51 3,8110.16 0.21 1,787

.. .. 5.31,310 3,010 2,321

6.6 6.4 8.512.0 9.2 13.317.9 20.1 38.99.3 6.7 25.8

70.2 70.7 47.7-2.5 1.0

119.7 79.427.5 23.6 28.961.4 65.4 28.3

.. 132

.. 11 35

.. 8 8

.. 93.0 57.7

.. .. 3.3

.. 37.1 40.2

.. 17.8 16.3

.. ..

.. ..

.. 4.3

.. 1.1

.. 35.3

.. 30.5

.. 15.9

.. 23 41,4776.3 7.7 2.0

19.7 53.8 34.97.2 42.7 19.9

.. -3.8 -2.3

.. .. ..51.3 60.8 107.654.4 73.6 54.9

.. .. 10.0

.. .. 5.140.7 64.0 92.913.3 6.9

7.6 8.1 7.3

69.0 .. 36.3.. .. 1,318.. 4.9

4.5 77.5 57.81.8 29.7 17.2











High income

Country data

High-income group

2000 2009 2009

Cayman Islands

0.04 0.05 1,117.. .. 547

7.5 4.0 8.1.. .. 37,990.. .. 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5.. ..

0.8 0.8.. .. 23.6.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..26.6 84.0 111.2

.. 43.7 72.3











Country data

Low-income group

2000 2009 2009


Central African Republic

3.7 4.4 8461.7 2.1 384

.. .. ..270 450 5093.0 0.8 5.4

53.1 55.5 26.115.8 14.6 24.4

7.0 7.6 12.431.0 29.9 49.53.2 3.5

712.0 472.219.8 14.5 23.224.1 22.4 35.9

.. 182

.. 22 41

.. 8 8

.. 22.0 71.0

.. 4.8 3.7

.. 203.8 76.5

.. 176.8 24.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. 6 4,7790.1 2.1 2.79.5 10.6 22.94.8 6.9 15.8

.. -0.5 -1.4

.. .. ..7.6 8.9 31.83.4 5.4 30.6

.. .. ..

.. .. ..4.5 7.0 26.3

18.3 12.217.0 10.8 11.5

2.7 .. 12.0.. .. 231.. ..

0.1 3.8 26.60.1 0.5 2.7












Country data

Low-income group

2000 2009 2009

Chad

8.4 11.2 8463.3 4.3 384

.. .. ..180 600 5093.1 10.2 5.4

42.3 13.6 26.111.3 48.8 24.48.9 6.6 12.4

46.3 37.5 49.53.8 10.0

712.0 472.216.9 42.1 23.234.7 70.1 35.9

.. 183

.. 75 41

.. 13 8

.. 36.0 71.0

.. .. 3.7

.. 65.4 76.5

.. 31.3 24.8

.. ..

.. ..

.. 20.8

.. 21.2

.. 4.2

.. 10.6

.. 43.3

5 68 4,7798.3 6.8 2.7

20.9 32.7 22.910.5 21.8 15.8

.. .. -1.4

.. .. ..5.7 7.0 31.83.9 5.9 30.6

.. .. ..

.. .. ..3.5 5.2 26.3

15.9 9.417.0 10.8 11.5

0.8 .. 12.0.. .. 231.. 22.6

0.1 24.0 26.60.0 1.7 2.7











Country data

High-income group

2000 2009 2009

High income

Channel Islands

0.15 0.15 1,117.. .. 547.. .. 8.1

43,020 68,610 37,990.. 0.5 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5.. .... .... .. 23.6.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..

.. .. 111.2

.. .. 72.3












Country data


2000 2009 2009

Chile

15.4 17.0 1,0026.1 7.5 4589.2 9.7 9.1

4,840 9,470 7,5023.8 4.1 4.46.1 3.3 6.2

38.4 42.1 31.519.5 12.7 16.755.5 54.6 62.4

.. ..539.6 560.9

31.6 38.1 25.429.7 30.4 24.2

.. 43

.. 22 43

.. 8 8

.. 52.0 40.1

.. 4.5 2.9

.. 25.0 43.0

.. 18.0 18.0

.. 23.5

.. 2.1

.. 9.0

.. 7.6

.. 29.1

.. 22.9

.. 22.0

2,051 2,331 64,8996.5 7.8 2.4

20.7 21.4 20.7.. 18.2 15.6

-0.7 -4.5 -0.6.. .. ..

64.7 79.6 60.650.9 55.2 47.4

7.5 7.4 9.71.7 3.0 4.2

73.6 97.5 47.89.8 2.95.6 5.2 5.5

18.4 .. 36.82,487 3,319 3,001

.. 1.722.1 96.9 100.616.6 34.0 34.6











Country data


2000 2009 2009

East Asia & Pacific Lower middle income

China

1,262.6 1,331.5 3,811726.0 783.2 1,787

3.1 4.3 5.3930 3,650 2,3218.5 10.9 8.5

15.1 10.3 13.345.9 46.3 38.932.1 33.9 25.839.0 43.4 47.70.3 -0.78.3 6.8

23.3 26.7 28.920.9 22.3 28.3

.. 79

.. 38 35

.. 14 8

.. 91.0 57.7

.. 1.7 3.3

.. 63.5 40.2

.. 6.0 16.3

.. ..

.. ..

.. 18.3

.. 38.7

.. 28.8

.. 27.8

.. 35.9

8,131 6,120 41,4773.2 1.6 2.0

34.1 45.6 34.97.5 19.8 19.9

-2.6 -2.1 -2.311.6 .. ..

120.2 138.3 107.639.0 53.7 54.9

4.1 5.6 10.022.4 1.6 5.1

112.3 127.3 92.93.7 6.03.6 3.1 7.3

.. 53.5 36.3993 2,455 1,318

.. ..6.8 56.1 57.81.8 28.8 17.2












Country data


2000 2009 2009

Colombia

39.8 45.7 1,00215.1 19.0 45816.6 12.0 9.1

2,350 4,990 7,5020.8 4.5 4.48.9 7.5 6.2

29.5 34.4 31.515.5 14.3 16.761.6 58.1 62.49.2 4.2

2,087.9 2,166.816.4 16.3 25.416.7 18.3 24.2

.. 39

.. 14 43

.. 9 8

.. 59.0 40.1

.. 3.0 2.9

.. 78.7 43.0

.. 17.7 18.0

.. 31.1

.. 1.1

.. 14.3

.. 1.1

.. 30.6

.. 26.4

.. 5.9

1,032 1,042 64,8992.4 3.1 2.4

14.3 20.5 20.7.. .. 15.6

-5.8 -4.0 -0.6.. 59.3 ..

27.1 37.2 60.622.4 18.1 47.411.2 13.6 9.711.0 4.1 4.220.9 29.9 47.8-10.3 7.7

6.6 6.9 5.5

14.4 .. 36.8844 974 3,001

.. 1.05.7 92.3 100.62.2 45.5 34.6











Country data

Low-income group

2000 2009 2009


Comoros

0.54 0.66 8460.25 0.32 384

.. .. ..400 810 5091.7 1.9 5.4

48.6 46.3 26.111.5 12.1 24.44.5 4.3 12.4

39.9 38.0 49.5.. ..

534.0 354.116.7 14.7 23.232.5 48.2 35.9

.. 159

.. 24 41

.. 11 8

.. 100.0 71.0

.. .. 3.7

.. 217.9 76.5

.. 31.4 24.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. 0.5 4,7790.0 1.7 2.7

10.1 12.4 22.96.2 7.7 15.8

.. .. -1.4

.. .. ..9.0 16.1 31.85.9 23.2 30.6

.. .. ..

.. .. ..11.9 16.0 26.38.3 5.79.0 8.6 11.5

76.5 .. 12.0.. .. 231.. ..

0.0 15.2 26.60.3 3.7 2.7












Country data

Low-income group

2000 2009 2009

Congo, Dem. Rep.

50.8 66.0 84618.6 24.9 384

.. .. ..80 160 509

-3.8 5.2 5.450.0 42.9 26.120.3 24.0 24.4

4.8 5.5 12.429.7 33.0 49.5

513.9 17.321.8 809.822.4 9.6 23.221.4 21.7 35.9

.. 175

.. 84 41

.. 10 8

.. 31.0 71.0

.. 5.2 3.7

.. 339.7 76.5

.. 58.9 24.8

.. ..

.. ..

.. 29.4

.. 54.4

.. 6.7

.. 48.0

.. 8.5

41 151 4,7791.7 9.0 2.73.5 29.8 22.93.0 6.1 15.8

-4.0 .. -1.4152.2 .. ..

3.8 7.3 31.89.2 11.3 30.6

.. .. ..

.. .. ..0.7 7.5 26.3

.. 27.0

.. 49.5 11.5

.. 1.8 12.089 95 231

.. 21.80.0 15.4 26.60.0 0.6 2.7











Country data


2000 2009 2009


Congo, Rep.

3.0 3.7 3,8111.3 1.6 1,787

.. .. 5.3580 2,080 2,3211.9 4.0 8.55.3 4.5 13.3

72.2 71.1 38.93.5 4.5 25.8

22.5 24.4 47.7-0.9 5.0

712.0 472.280.3 71.9 28.943.6 50.9 28.3

.. 177

.. 160 35

.. 10 8

.. 33.0 57.7

.. 3.3 3.3

.. 65.5 40.2

.. 0.0 16.3

.. ..

.. ..

.. 6.0

.. 37.1

.. 7.7

.. 8.5

.. 19.6

35 110 41,4775.2 21.7 2.0

20.9 24.3 34.914.0 13.5 19.9

1.9 19.5 -2.3283.7 .. ..

6.4 3.6 107.68.6 10.2 54.9

.. .. 10.0

.. .. 5.14.8 4.8 92.9

-17.0 14.417.0 10.8 7.3

9.7 7.1 36.399 150 1,318

.. 25.32.3 58.9 57.80.0 6.7 17.2











Country data


2000 2009 2009


Costa Rica

3.9 4.6 1,0021.6 2.1 4585.2 4.9 9.1

3,700 6,260 7,5025.7 5.1 4.49.5 7.1 6.2

32.1 27.2 31.525.3 19.0 16.758.5 65.7 62.411.0 7.8

308.2 573.348.6 43.3 25.445.8 42.1 24.2

.. 125

.. 60 43

.. 12 8

.. 29.0 40.1

.. 3.5 2.9

.. 55.0 43.0

.. 18.9 18.0

.. 26.8

.. 8.8

.. 9.6

.. 0.0

.. 14.9

.. 48.6

.. 10.5

161 110 64,8992.6 4.6 2.4

17.8 26.7 20.716.3 24.6 15.6

.. -3.4 -0.6

.. .. ..27.8 54.4 60.614.1 23.0 47.410.8 13.9 9.73.5 2.0 4.2

24.0 49.4 47.816.7 9.911.5 12.8 5.5

22.0 25.3 36.81,519 1,866 3,001

.. ..5.4 42.6 100.65.8 34.5 34.6











Country data


2000 2009 2009


Côte d’Ivoire

17.3 21.1 3,8116.7 8.4 1,7874.1 .. 5.3

620 1,070 2,3213.4 0.8 8.5

24.2 24.4 13.324.9 25.2 38.921.7 18.0 25.850.9 50.4 47.7

2.5 1.0712.0 472.240.4 41.7 28.933.3 33.8 28.3

.. 169

.. 40 35

.. 10 8

.. 49.0 57.7

.. 2.2 3.3

.. 44.4 40.2

.. 8.8 16.3

.. ..

.. ..

.. 1.8

.. 13.6

.. 13.9

.. 20.9

.. 4.3

215 318 41,4772.3 1.6 2.0

11.2 11.2 34.98.4 8.3 19.9

.. 0.9 -2.3

.. 96.4 ..19.4 19.3 107.613.5 17.4 54.9

.. .. 10.0

.. .. 5.115.5 17.1 92.9

.. ..

.. .. 7.3

9.7 7.9 36.3166 186 1,318

.. 3.82.7 63.3 57.80.2 4.6 17.2











High income

Country data

High-income group

2000 2009 2009

Croatia

4.4 4.4 1,1172.0 2.0 547

16.1 9.1 8.15,200 13,770 37,990

3.1 3.9 2.06.5 6.7 1.5

28.5 27.1 25.020.3 16.0 15.965.0 66.1 73.5

4.6 2.48.3 5.3

41.7 36.1 23.645.0 39.4 23.9

.. 84

.. 7 18

.. 6 6

.. 39.0 37.9

.. 3.1 2.1

.. 32.5 38.6

.. 11.4 14.3

.. 7.8

.. 2.6

4.6 10.943.7 6.036.1 60.0

.. 42.616.3 16.5

746 719 ..5.2 4.7 2.0

19.0 24.7 18.016.2 22.6 ..

-5.3 -3.0 -7.7.. .. 55.7

44.9 77.7 140.037.3 62.5 108.511.9 13.9 6.89.5 7.8 3.4

32.0 66.3 165.17.1 8.08.3 8.4 3.8

85.4 86.9 93.42,840 3,878 9,518

.. 1.823.3 136.2 111.2

6.8 50.4 72.3











Country data


2000 2009 2009


Cuba

11.1 11.2 1,0024.8 5.0 4585.4 1.6 9.1

2,630 5,550 7,5024.0 6.7 4.48.4 5.0 6.2

27.9 20.0 31.517.7 9.6 16.763.7 74.9 62.4

.. ..

.. ..14.1 20.0 25.416.9 18.2 24.2

.. ..

.. .. 43

.. .. 8

.. .. 40.1

.. .. 2.9

.. .. 43.0

.. .. 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

600 60 64,899.. .. 2.4

11.9 9.7 20.7.. .. 15.6

.. .. -0.6

.. .. ..

.. .. 60.6

.. .. 47.4

.. .. 9.7

.. .. 4.2

.. .. 47.8

.. ..

.. .. 5.5

49.0 .. 36.81,142 1,327 3,001

.. ..0.1 4.0 100.60.5 14.3 34.6











High income

Country data

High-income group

2000 2009 2009

Cyprus

0.79 0.87 1,1170.36 0.45 547

4.9 5.2 8.113,440 30,480 37,990

3.9 3.3 2.03.6 2.1 1.5

19.1 19.6 25.09.9 7.6 15.9

77.3 78.3 73.54.1 0.40.6 0.4

55.4 46.3 23.654.5 57.4 23.9

.. 37

.. 8 18

.. 6 6

.. 64.0 37.9

.. 1.5 2.1

.. 23.2 38.6

.. 9.4 14.3

.. 16.1

.. 20.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..9.2 23.6 2.0

17.0 22.9 18.0.. .. ..

.. -5.9 -7.7156.3 97.3 55.7178.1 295.6 140.0161.3 241.1 108.5

.. .. 6.8

.. .. 3.4211.8 269.7 165.1

4.0 1.31.5 3.3 3.8

60.6 64.6 93.44,045 5,711 9,518

.. ..27.8 112.2 111.215.3 49.8 72.3











Country data

High-income group

2000 2009 2009

High income

Czech Republic

10.3 10.5 1,1175.1 5.2 5478.8 6.7 8.1

5,800 17,310 37,9901.0 4.1 2.03.9 2.3 1.5

38.1 37.2 25.026.8 23.2 15.958.0 60.5 73.5

3.9 1.038.6 19.163.4 69.5 23.666.4 63.8 23.9

.. 63

.. 20 18

.. 9 6

.. 22.0 37.9

.. 3.2 2.1

.. 48.8 38.6

.. 7.4 14.3

.. 21.7

.. 3.0

1.7 10.435.9 0.220.4 33.4

.. 50.216.5 43.5

.. .. ..8.8 1.4 2.0

28.0 22.7 18.0.. .. ..

-3.6 -6.1 -7.713.7 31.9 55.752.4 65.1 140.058.1 63.6 108.5

5.4 6.1 6.829.3 4.6 3.449.0 55.3 165.1

5.6 3.23.7 4.7 3.8

100.0 100.0 93.45,694 6,464 9,518

.. 2.142.3 135.9 111.2

9.7 63.7 72.3











High income

Country data

High-income group

2000 2009 2009

Denmark

5.3 5.5 1,1172.9 3.0 5474.5 6.0 8.1

31,850 59,060 37,9902.8 1.2 2.02.6 0.9 1.5

26.8 22.5 25.016.2 13.1 15.970.6 76.6 73.52.9 1.38.1 5.4

46.6 47.8 23.640.5 44.0 23.9

.. 6

.. 6 18

.. 4 6

.. .. 37.9

.. 1.1 2.1

.. 29.2 38.6

.. 21.9 14.3

.. 16.5

.. 4.6

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..22.5 0.9 2.020.2 18.1 18.0

.. .. ..

1.6 -2.1 -7.753.3 41.0 55.7

146.2 236.0 140.035.4 59.4 108.5

6.2 5.7 6.80.7 0.3 3.4

135.3 231.6 165.14.9 ..4.9 .. 3.8

100.0 100.0 93.46,485 6,460 9,518

.. ..63.0 133.9 111.239.2 85.9 72.3











Country data


2000 2009 2009

Middle East & North Africa Lower middle income

Djibouti

0.73 0.86 3,8110.30 0.39 1,78759.5 .. 5.3760 1,280 2,321-0.2 4.0 8.53.5 3.9 13.3

15.4 16.9 38.92.6 2.5 25.8

81.1 79.3 47.71.7 1.7

177.7 177.735.1 57.1 28.950.4 77.1 28.3

.. 158

.. 37 35

.. 11 8

.. 56.0 57.7

.. 5.0 3.3

.. 38.7 40.2

.. 17.7 16.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

50 396 41,4770.6 9.2 2.08.8 37.5 34.96.1 25.2 19.9

.. .. -2.3

.. .. ..36.2 32.5 107.647.6 78.9 54.9

.. .. 10.0

.. .. 5.132.1 29.3 92.9-2.3 1.98.6 9.4 7.3

45.0 .. 36.3.. .. 1,318.. ..

0.0 14.9 57.80.2 3.0 17.2












Country data


2000 2009 2009

Dominica

0.07 0.07 1,002.. .. 458

11.0 .. 9.13,200 4,900 7,502

2.2 2.9 4.418.1 19.5 6.223.5 23.2 31.5

8.8 4.2 16.758.4 57.3 62.4

0.9 0.12.7 2.7

53.3 38.4 25.467.5 65.5 24.2

.. 88

.. 14 43

.. 5 8

.. 58.0 40.1

.. .. 2.9

.. 37.0 43.0

.. 25.9 18.0

.. 0.2

.. 3.3

.. ..

.. ..

.. ..

.. ..

.. ..

19 5 64,8996.5 13.3 2.4

28.1 29.5 20.78.1 6.9 15.6

.. .. -0.6

.. .. ..79.9 63.0 60.668.6 101.1 47.4

.. .. 9.7

.. .. 4.262.0 63.3 47.811.0 8.2

7.8 6.8 5.5

50.4 .. 36.8.. .. 3,001.. ..

1.7 144.0 100.68.4 38.0 34.6











Country data


2000 2009 2009


Dominican Republic

8.8 10.1 1,0023.7 4.5 458

14.2 14.2 9.12,550 4,550 7,502

7.0 5.5 4.47.2 6.2 6.2

35.9 32.5 31.526.1 24.5 16.756.8 61.3 62.4

7.7 1.416.4 36.037.0 22.2 25.445.9 30.3 24.2

.. 91

.. 19 43

.. 8 8

.. 88.0 40.1

.. 3.5 2.9

.. 40.7 43.0

.. 20.5 18.0

.. 12.9

.. 2.1

.. 8.8

.. 17.3

.. 12.5

.. 30.2

.. 9.6

1,076 740 64,8994.0 4.4 2.4

20.5 14.7 20.7.. 0.0 15.6

.. -3.8 -0.6

.. .. ..31.1 23.6 60.625.5 19.6 47.4

9.4 9.1 9.72.6 4.0 4.2

29.0 21.3 47.818.6 14.7

9.1 10.3 5.5

49.4 .. 36.8709 1,377 3,001

.. ..8.0 85.5 100.63.7 26.8 34.6












Country data


2000 2009 2009

Ecuador

12.3 13.6 3,8114.8 5.9 1,7879.0 6.5 5.3

1,340 3,970 2,3210.7 5.0 8.5

.. 6.2 13.3

.. 23.2 38.9

.. 9.9 25.8

.. 70.6 47.796.1 5.2

11,786.8 ..37.1 37.1 28.931.0 48.1 28.3

.. 130

.. 56 35

.. 13 8

.. 135.0 57.7

.. 5.3 3.3

.. 35.3 40.2

.. 18.4 16.3

.. ..

.. ..

.. 17.3

.. 11.3

.. 24.0

.. 23.3

.. 18.2

20 259 41,477-0.1 0.6 2.020.5 28.2 34.915.6 -10.8 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.912.9 7.7 10.031.0 2.9 5.129.9 25.3 92.926.0 6.38.3 7.1 7.3

18.9 14.8 36.3654 1,137 1,318

.. 2.53.9 100.1 57.81.5 15.1 17.2











Country data


2000 2009 2009


Egypt, Arab Rep.

70.2 83.0 3,81121.7 27.4 1,7879.0 9.4 5.3

1,390 2,070 2,3215.2 4.9 8.5

16.7 13.7 13.333.1 37.3 38.919.4 16.0 25.850.1 49.0 47.7

2.7 11.83.5 5.5

16.2 25.0 28.922.8 31.9 28.3

.. 94

.. 7 35

.. 6 8

.. 132.0 57.7

.. 4.2 3.3

.. 42.6 40.2

.. 13.2 16.3

.. 6.3

.. 0.1

.. 8.8

.. 5.3

.. 5.6

.. 92.4

.. 21.1

864 1,791 41,4771.2 3.6 2.0

18.9 19.0 34.99.1 10.9 19.9

-6.7 -6.6 -2.3.. 79.5 ..

77.1 63.7 107.667.6 71.2 54.95.6 6.4 10.0

13.6 13.4 5.152.0 36.2 92.9

7.9 1.03.8 5.5 7.3

78.1 86.9 36.3958 1,425 1,318

.. 1.11.9 66.7 57.80.6 20.0 17.2












Country data


2000 2009 2009

El Salvador

5.9 6.2 3,8112.3 2.5 1,7877.0 5.9 5.3

2,110 3,370 2,3213.3 2.6 8.5

10.5 12.5 13.331.6 27.5 38.924.7 21.4 25.857.9 60.1 47.72.3 1.18.8 8.8

27.4 22.3 28.942.4 37.8 28.3

.. 86

.. 17 35

.. 8 8

.. 86.0 57.7

.. 4.0 3.3

.. 35.0 40.2

.. 17.0 16.3

.. 4.4

.. 1.2

.. 9.2

.. 2.6

.. 17.3

.. 22.1

.. 11.0

277 87 41,4771.3 2.0 2.0

16.9 13.1 34.914.2 10.6 19.9

-4.7 -5.0 -2.355.3 48.5 ..

5.5 5.1 107.64.9 4.8 54.98.8 13.2 10.04.3 3.6 5.1

45.2 41.3 92.910.5 ..

4.6 .. 7.3

19.8 .. 36.3680 953 1,318

.. 2.312.5 122.8 57.8

1.2 14.4 17.2











Country data

High-income group

2000 2009 2009

High income

Equatorial Guinea

0.53 0.68 1,1170.19 0.26 547

.. .. 8.11,250 12,420 37,990

36.0 16.8 2.09.8 3.5 1.5

85.9 91.9 25.01.4 18.2 15.94.2 4.7 73.54.8 6.6

712.0 472.298.6 74.1 23.685.4 41.6 23.9

.. 164

.. 136 18

.. 20 6

.. 133.0 37.9

.. .. 2.1

.. 59.5 38.6

.. 13.5 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..12.3 15.7 2.061.3 36.6 18.056.2 16.1 ..

.. .. -7.7

.. .. 55.73.3 2.9 140.03.7 6.5 108.5

.. .. 6.8

.. .. 3.43.0 7.7 165.1

-16.8 16.417.0 10.8 3.8

.. .. 93.4

.. .. 9,518

.. ..0.9 65.8 111.20.1 2.1 72.3












Country data

Low-income group

2000 2009 2009

Eritrea

3.7 5.1 8461.4 2.2 384

.. .. ..170 320 5091.5 0.2 5.4

15.1 14.4 26.123.0 22.2 24.411.2 5.6 12.461.9 63.4 49.5

.. ..9.6 15.4

15.1 4.5 23.281.8 20.3 35.9

.. 180

.. 84 41

.. 13 8

.. 69.0 71.0

.. .. 3.7

.. 84.5 76.5

.. 8.8 24.8

.. ..

.. ..

.. 0.5

.. 0.0

.. 11.9

.. ..

.. 15.1

40 .. 4,7794.4 0.0 2.7

23.8 10.6 22.95.0 1.2 15.8

.. .. -1.4

.. .. ..

.. .. 31.8

.. .. 30.6

.. .. ..

.. .. ..32.5 16.6 26.3

.. ..

.. .. 11.5

21.8 .. 12.0.. .. 231.. 3.0

0.0 2.8 26.60.1 4.9 2.7











Country data

High-income group

2000 2009 2009

High income

Estonia

1.4 1.3 1,1170.66 0.70 54713.1 13.7 8.1

4,220 14,060 37,9905.8 5.9 2.04.8 2.9 1.5

27.5 29.1 25.017.7 16.7 15.967.6 68.0 73.54.0 -0.1

17.0 11.384.6 70.6 23.688.2 65.2 23.9

.. 17

.. 7 18

.. 5 6

.. 35.0 37.9

.. 3.0 2.1

.. 49.6 38.6

.. 8.0 14.3

.. 7.2

.. 8.1

2.4 5.518.5 0.024.2 41.5

3.5 207.27.5 21.2

.. .. ..6.8 9.2 2.0

25.7 21.8 18.022.9 31.0 ..

0.2 -1.3 -7.74.3 9.1 55.7

37.4 110.0 140.027.8 56.2 108.512.6 8.5 6.8

1.0 5.2 3.436.1 110.2 165.1

2.4 10.03.7 4.6 3.8

20.1 28.8 93.44,629 6,348 9,518

.. 1.240.7 203.0 111.228.6 72.3 72.3












Country data

Low-income group

2000 2009 2009

Ethiopia

65.5 82.8 84629.0 40.0 384

8.2 20.5 ..130 330 5093.5 8.5 5.4

49.9 50.7 26.112.4 10.7 24.45.5 4.0 12.4

37.8 38.6 49.50.7 8.58.2 11.8

12.0 10.6 23.224.0 28.8 35.9

.. 104

.. 9 41

.. 5 8

.. 40.0 71.0

.. 3.0 3.7

.. 31.1 76.5

.. 26.8 24.8

.. 1.3

.. 0.0

2.1 3.8.. 4.4

31.0 11.0.. 44.2

2.3 4.2

.. 4 4,7791.6 0.8 2.7

20.3 22.4 22.98.1 5.9 15.8

-4.2 -4.5 -1.484.2 .. ..27.3 23.7 31.828.1 27.1 30.6

.. .. ..

.. .. ..23.1 17.8 26.33.8 -17.24.9 3.3 11.5

12.0 13.7 12.023 42 231

.. 5.00.0 4.9 26.60.0 0.5 2.7











Country data

High-income group

2000 2009 2009

High income

Faeroe Islands

0.05 0.05 1,117.. .. 547.. 3.2 8.1.. .. 37,990.. .. 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5.. ..

8.1 5.4.. .. 23.6.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..37.1 117.2 111.232.8 77.1 72.3












Country data


2000 2009 2009

Fiji

0.80 0.85 1,0020.31 0.34 458

.. 8.6 9.12,260 3,840 7,502

2.2 1.4 4.417.1 13.2 6.222.3 17.9 31.514.0 14.0 16.760.6 68.8 62.4

1.1 3.72.1 2.0

65.2 47.1 25.470.3 61.7 24.2

.. 62

.. 46 43

.. 8 8

.. 22.0 40.1

.. 1.8 2.9

.. 39.3 43.0

.. 28.9 18.0

.. ..

.. ..

.. 4.4

.. 4.5

.. 37.1

.. 19.0

.. 22.9

3 90 64,8990.0 2.0 2.4

15.4 20.9 20.710.2 18.2 15.6

.. -2.9 -0.6

.. .. ..38.4 45.5 60.636.8 43.6 47.4

.. .. 9.7

.. .. 4.232.0 49.9 47.813.7 7.5

7.5 7.1 5.5

49.2 .. 36.8.. .. 3,001.. 1.7

6.9 75.4 100.61.5 13.4 34.6











Country data

High-income group

2000 2009 2009

High income

Finland

5.2 5.3 1,1172.7 2.7 5479.7 8.2 8.1

25,430 45,940 37,9904.9 2.5 2.03.5 2.7 1.5

34.7 28.2 25.026.5 18.2 15.961.8 69.2 73.5

3.4 0.05.3 ..

43.6 37.4 23.634.5 34.9 23.9

.. 13

.. 14 18

.. 3 6

.. 26.0 37.9

.. 0.9 2.1

.. 44.6 38.6

.. 15.9 14.3

.. 11.8

.. 3.4

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..7.5 0.0 2.0

20.0 19.5 18.0.. .. ..

6.7 4.6 -7.755.2 36.2 55.755.6 98.3 140.046.1 62.6 108.56.3 6.4 6.80.6 0.7 3.4

53.2 94.4 165.12.9 3.24.0 2.7 3.8

62.0 65.5 93.415,286 16,350 9,518

.. ..72.0 144.2 111.237.2 83.9 72.3


Population (millions)a

Labor force (millions)Unemployment rate (% of labor force)GNI per capita, World Bank Atlas method ($)GDP growth, 1995–2000 and 2000–09 (average annual %)Agriculture value added (% of GDP)Industry value added (% of GDP)









High income

Country data

High-income group

2000 2009 2009

France

58.9 62.6 1,11726.4 28.7 54710.2 9.1 8.1

24,450 42,620 37,9902.9 1.5 2.02.8 1.7 1.5

22.9 18.8 25.016.0 10.6 15.974.3 79.4 73.5

1.7 0.15.9 ..

28.6 23.0 23.627.7 25.0 23.9

.. 26

.. 7 18

.. 5 6

.. 32.0 37.9

.. 1.9 2.1

.. 65.8 38.6

.. 8.2 14.3

.. 128.9

.. 3.1

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..3.2 2.3 2.0

19.5 20.6 18.0.. .. ..

-1.7 -7.3 -7.760.7 82.8 55.7

103.1 127.4 140.062.5 78.6 108.5

6.7 4.5 6.85.0 3.6 3.4

85.0 110.3 165.15.2 4.94.1 4.4 3.8

100.0 100.0 93.47,485 7,931 9,518

.. ..49.3 95.1 111.214.4 71.3 72.3

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











Country data

High-income group

2000 2009 2009

High income

French Polynesia

0.24 0.27 1,1170.10 0.11 54711.7 11.7 8.1

16,080 .. 37,9903.5 .. 2.04.7 .. 1.5

.. .. 25.0

.. .. 15.9

.. .. 73.5

.. ..129.5 87.2

4.9 .. 23.624.2 .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..16.9 77.4 111.26.4 44.6 72.3












Country data


2000 2009 2009

Gabon

1.2 1.5 1,0020.54 0.71 458

.. .. 9.13,080 7,370 7,502

0.3 2.1 4.46.2 5.1 6.2

56.3 53.8 31.53.7 4.3 16.7

37.5 41.2 62.40.5 1.9

712.0 472.269.0 52.2 25.432.7 33.3 24.2

.. 156

.. 58 43

.. 9 8

.. 43.0 40.1

.. 5.0 2.9

.. 43.5 43.0

.. 18.4 18.0

.. 3.5

.. 4.3

.. 2.8

.. 22.8

.. 6.3

.. 34.5

.. 18.6

12 91 64,899-0.8 0.3 2.421.9 28.4 20.719.0 23.2 15.6

.. .. -0.6

.. .. ..11.7 10.6 60.611.4 14.2 47.4

.. 16.2 9.76.6 9.8 4.28.7 10.1 47.8

-4.8 9.317.0 10.8 5.5

9.9 10.2 36.8876 1,158 3,001

.. 7.29.7 93.1 100.61.2 6.7 34.6











Country data

Low-income group

2000 2009 2009


Gambia, The

1.3 1.7 8460.58 0.77 384

.. .. ..330 440 5094.6 5.2 5.4

35.8 27.5 26.113.1 15.5 24.45.4 5.0 12.4

51.1 57.1 49.50.8 4.6

12.8 26.648.0 30.4 23.256.8 50.1 35.9

.. 146

.. 27 41

.. 8 8

.. 26.0 71.0

.. 3.0 3.7

.. 292.3 76.5

.. 41.4 24.8

.. ..

.. ..

.. 7.3

.. 13.6

.. 7.6

.. 63.9

.. 22.2

7 35 4,7792.9 5.4 2.7

17.4 24.8 22.912.8 13.9 15.8

.. .. -1.4

.. .. ..34.2 26.7 31.833.5 35.1 30.6

.. .. ..

.. .. ..12.5 18.9 26.319.6 24.111.5 11.5 11.5

.. 19.3 12.0

.. .. 231

.. 23.70.4 84.0 26.60.9 7.6 2.7












Country data


2000 2009 2009

Georgia

4.7 4.3 3,8112.4 2.3 1,787

10.8 16.5 5.3730 2,530 2,3215.6 7.4 8.5

21.9 9.6 13.322.4 21.4 38.9

9.1 11.6 25.855.7 69.0 47.74.0 1.72.0 1.7

23.0 29.5 28.939.7 49.0 28.3

.. 12

.. 3 35

.. 3 8

.. 4.0 57.7

.. 3.3 3.3

.. 15.3 40.2

.. 13.3 16.3

.. 7.2

.. 2.3

11.0 2.181.2 8.425.9 38.2

1.9 11.416.8 16.0

49 154 41,4774.3 6.1 2.0

25.4 14.4 34.924.5 6.4 19.9

-1.6 -7.8 -2.369.9 34.7 ..

7.5 32.1 107.65.2 19.1 54.9

30.5 18.3 10.011.6 6.3 5.18.7 31.2 92.9

26.8 28.122.6 15.2 7.3

93.4 94.1 36.31,353 1,678 1,318

.. 3.34.1 66.6 57.80.5 30.5 17.2











Country data

High-income group

2000 2009 2009

High income

Germany

82.2 81.9 1,11740.4 42.3 547

7.7 7.7 8.125,510 42,450 37,990

2.0 1.0 2.01.3 0.8 1.5

30.3 26.5 25.022.9 19.1 15.968.5 72.7 73.5

1.5 0.31.8 ..

33.4 40.8 23.633.0 35.9 23.9

.. 22

.. 15 18

.. 9 6

.. 69.0 37.9

.. 1.2 2.1

.. 48.2 38.6

.. 23.0 14.3

.. 64.8

.. 1.2

.. 1.2

.. 14.8

.. 45.0

.. 3.2

.. ..

.. .. ..11.1 1.2 2.021.5 17.6 18.0

.. .. ..

1.4 -2.2 -7.737.8 47.2 55.7

145.2 132.2 140.090.8 117.2 108.5

4.2 4.8 6.84.7 3.3 3.4

118.6 112.3 165.110.4 ..6.2 .. 3.8

.. 100.0 93.46,636 7,149 9,518

.. ..58.6 128.2 111.230.2 79.5 72.3












Country data

Low-income group

2000 2009 2009

Ghana

19.5 23.8 8468.6 11.0 384

10.4 .. ..330 1,190 5094.4 5.8 5.4

39.4 31.7 26.128.4 18.9 24.410.1 6.9 12.432.2 49.5 49.525.2 19.3

0.5 1.448.8 30.5 23.267.2 41.3 35.9

.. 67

.. 12 41

.. 7 8

.. 178.0 71.0

.. 1.9 3.7

.. 32.7 76.5

.. 18.1 24.8

.. 9.6

.. 0.7

.. 4.0

.. 18.1

.. 16.0

.. 24.4

.. 6.8

10 847 4,7793.3 6.4 2.7

23.1 19.6 22.912.7 11.6 15.8

-6.5 -5.6 -1.4.. .. ..

14.5 .. 31.816.8 .. 30.611.8 17.0 ..11.9 16.2 ..14.0 15.9 26.3

.. ..

.. .. 11.5

29.6 14.9 12.0324 268 231

.. 9.70.7 63.4 26.60.2 5.4 2.7











Country data

High-income group

2000 2009 2009

High income

0.03 0.03 1,117.. .. 547.. .. 8.1.. .. 37,990.. .. 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5.. ..

0.7 0.6.. .. 23.6.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.44,325 5,349 9,518

.. ..19.2 92.1 111.219.1 65.1 72.3

Gibraltar











High income

Country data

High-income group

2000 2009 2009

Greece

10.9 11.3 1,1174.9 5.2 547

11.1 9.5 8.112,560 29,040 37,990

3.5 3.6 2.06.6 3.1 1.5

21.0 17.5 25.011.1 10.1 15.972.5 79.3 73.53.2 1.2

365.4 ..24.9 18.6 23.638.4 29.3 23.9

.. 109

.. 19 18

.. 15 6

.. 24.0 37.9

.. 2.0 2.1

.. 47.2 38.6

.. 13.9 14.3

.. 8.4

.. 1.2

.. 1.8

.. 55.9

.. 25.9

.. 7.0

.. 11.7

.. .. ..0.9 0.7 2.0

21.6 16.9 18.0.. .. ..

-3.7 -15.2 -7.7123.9 138.5 55.7

78.1 109.0 140.050.5 103.1 108.5

8.9 6.1 6.812.3 7.7 3.447.0 91.7 165.18.6 2.86.2 4.3 3.8

91.8 .. 93.44,539 5,723 9,518

.. ..54.3 117.8 111.2

9.2 44.1 72.3











Country data

High-income group

2000 2009 2009

High income

Greenland

0.06 0.06 1,117.. .. 547

11.0 8.4 8.120,290 26,160 37,990

3.8 1.7 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5.. ..

8.1 5.4.. .. 23.6.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..26.9 95.4 111.231.7 64.2 72.3











Country data


2000 2009 2009


Grenada

0.10 0.10 1,002.. .. 458

10.2 .. 9.13,870 5,580 7,502

7.4 1.8 4.47.3 6.5 6.2

22.2 18.4 31.56.5 4.1 16.7

70.5 75.1 62.43.5 -2.42.7 2.7

54.9 26.8 25.472.2 56.6 24.2

.. 92

.. 15 43

.. 6 8

.. 29.0 40.1

.. .. 2.9

.. 45.3 43.0

.. 27.6 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

7 16 64,8998.7 14.5 2.4

41.8 23.2 20.735.0 18.8 15.6

.. .. -0.6

.. .. ..88.1 112.0 60.689.5 114.5 47.4

.. .. 9.7

.. .. 4.275.7 97.7 47.811.1 12.0

7.4 7.7 5.5

61.0 .. 36.8.. .. 3,001.. ..

4.2 61.6 100.64.1 24.1 34.6











High income

Country data

High-income group

2000 2009 2009

Guam

0.16 0.18 1,1170.07 0.08 54715.3 .. 8.1

.. .. 37,990

.. .. 2.0

.. .. 1.5

.. .. 25.0

.. .. 15.9

.. .. 73.5

.. ..

.. ..

.. .. 23.6

.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..17.5 59.1 111.216.1 50.6 72.3











Country data


2000 2009 2009


Guatemala

11.2 14.0 3,8114.0 5.5 1,7871.4 1.8 5.3

1,730 2,650 2,3214.1 3.7 8.5

15.1 12.4 13.329.1 28.5 38.921.3 19.8 25.855.8 59.2 47.7

6.0 1.97.8 8.2

20.2 23.4 28.929.0 33.1 28.3

.. 101

.. 37 35

.. 12 8

.. 101.0 57.7

.. 3.0 3.3

.. 40.9 40.2

.. 25.9 16.3

.. 5.1

.. 0.7

.. 9.2

.. 3.8

.. 12.8

.. 35.3

.. 8.0

147 206 41,4771.2 1.6 2.0

16.1 15.1 34.913.7 12.0 19.9

-1.8 -3.2 -2.317.0 23.3 ..22.1 36.0 107.618.2 39.0 54.9

8.9 10.5 10.07.9 2.7 5.1

19.8 25.4 92.913.2 11.210.7 8.3 7.3

34.5 .. 36.3343 543 1,318

.. 3.07.6 123.4 57.80.7 16.3 17.2












Country data

Low-income group

2000 2009 2009

Guinea

8.4 10.1 8464.0 4.8 384

.. .. ..400 370 5094.4 3.0 5.4

20.3 17.2 26.132.5 53.0 24.4

4.0 5.3 12.447.2 29.8 49.5

.. 4.71,746.9 5,500.0

23.6 40.7 23.227.9 45.4 35.9

.. 179

.. 41 41

.. 13 8

.. 26.0 71.0

.. 3.8 3.7

.. 54.6 76.5

.. 19.4 24.8

.. ..

.. ..

.. 2.7

.. 57.3

.. 0.9

.. 16.1

.. 5.2

6 246 4,7790.3 1.2 2.7

18.9 21.6 22.914.0 17.0 15.8

-2.4 .. -1.4.. .. .... 8.2 31.8.. 10.0 30.6.. .. .... .. ..

3.8 5.7 26.37.4 ..

11.9 .. 11.5

16.5 9.8 12.0.. .. 231.. 33.9

0.5 55.7 26.60.1 0.9 2.7











Country data

Low-income group

2000 2009 2009


Guinea-Bissau

1.3 1.6 8460.54 0.66 384

.. .. ..170 510 509-2.7 1.0 5.4

56.4 .. 26.113.0 .. 24.410.5 .. 12.430.6 .. 49.5

8.6 -1.7712.0 472.231.8 .. 23.251.6 .. 35.9

.. 176

.. 216 41

.. 17 8

.. 87.0 71.0

.. .. 3.7

.. 45.9 76.5

.. 14.9 24.8

.. ..

.. ..

.. 2.9

.. 22.7

.. 0.7

.. 20.5

.. 8.4

3 28 4,7790.3 1.7 2.7

11.3 .. 22.91.3 .. 15.8

.. .. -1.4

.. .. ..7.9 7.1 31.8

13.7 9.4 30.6.. .. .... .. ..

7.9 5.6 26.3.. .... .. 11.5

27.9 .. 12.0.. .. 231.. 9.2

0.0 34.8 26.60.2 2.3 2.7












Country data


2000 2009 2009

Guyana

0.76 0.76 3,8110.32 0.34 1,787

9.1 .. 5.3870 2,660 2,3212.5 2.2 8.5

31.1 20.6 13.329.0 34.3 38.98.2 7.7 25.8

39.9 45.1 47.76.1 2.9

182.4 204.096.1 84.6 28.9

110.7 119.2 28.3

.. 100

.. 30 35

.. 8 8

.. 56.0 57.7

.. 3.0 3.3

.. 38.9 40.2

.. 26.8 16.3

.. ..

.. ..

.. 2.3

.. 5.4

.. 32.6

.. 93.4

.. 17.8

11 26 41,4779.4 7.1 2.0

23.8 26.6 34.910.0 13.8 19.9

.. .. -2.3

.. .. ..70.4 69.5 107.665.7 88.0 54.9

.. .. 10.0

.. .. 5.157.1 36.5 92.910.0 13.18.6 12.2 7.3

7.4 .. 36.3.. .. 1,318.. ..

5.3 36.8 57.86.6 28.9 17.2











Latin America & Caribbean Low income

Country data

Low-income group

2000 2009 2009

Haiti

8.6 10.0 8463.5 4.5 3847.2 .. ..

.. .. 5092.5 0.7 5.4

.. .. 26.1

.. .. 24.4

.. .. 12.4

.. .. 49.513.7 0.021.2 41.212.7 14.2 23.233.4 43.9 35.9

.. 162

.. 105 41

.. 13 8

.. 17.0 71.0

.. 5.7 3.7

.. 40.1 76.5

.. 23.3 24.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

101 176 4,7790.4 0.6 2.7

.. .. 22.9

.. .. 15.8

.. .. -1.4

.. .. ..17.5 14.7 31.829.9 30.5 30.6

.. .. ..

.. .. ..15.5 14.5 26.3

7.3 13.37.0 16.2 11.5

24.3 .. 12.035 23 231

.. ..0.6 36.4 26.60.2 10.0 2.7












Country data


2000 2009 2009

Honduras

6.2 7.5 3,8112.4 2.8 1,7874.1 2.9 5.3

930 1,800 2,3212.8 4.9 8.5

15.9 12.5 13.332.5 27.1 38.922.7 18.6 25.851.7 60.4 47.711.0 5.514.8 18.954.0 42.1 28.966.4 60.8 28.3

.. 131

.. 14 35

.. 13 8

.. 95.0 57.7

.. 3.8 3.3

.. 48.3 40.2

.. 26.7 16.3

.. ..

.. ..

.. 4.6

.. 6.1

.. 8.5

.. 27.6

.. 16.5

127 277 41,4775.4 3.5 2.0

25.8 22.6 34.920.3 19.1 19.9

.. -4.5 -2.3

.. .. ..34.7 51.9 107.635.2 46.5 54.9

8.8 .. 10.010.6 .. 5.134.1 52.6 92.9-3.1 14.410.9 8.6 7.3

20.4 .. 36.3515 708 1,318

.. 2.92.5 103.3 57.81.2 9.8 17.2











High income

Country data

High-income group

2000 2009 2009

Hong Kong SAR, China

6.7 7.0 1,1173.4 3.7 5474.9 5.2 8.1

26,570 31,570 37,9901.8 4.7 2.0

.. .. 1.513.4 8.0 25.0

5.4 2.5 15.986.5 92.0 73.5-3.8 0.67.8 7.8

143.3 193.8 23.6138.8 186.7 23.9

.. 2

.. 6 18

.. 3 6

.. 10.0 37.9

.. 1.1 2.1

.. 24.1 38.6

.. 18.7 14.3

.. 101.0

.. 19.2

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..36.6 24.9 2.026.4 20.9 18.0

.. .. ..

-6.8 0.6 -7.727.7 30.5 55.7

167.9 199.2 140.0220.8 319.9 108.5

9.0 12.7 6.87.3 1.1 3.4

152.6 158.0 165.113.6 4.8

4.7 5.0 3.8

100.0 100.0 93.45,447 5,866 9,518

.. ..81.7 174.3 111.227.8 61.4 72.3











Country data

High-income group

2000 2009 2009

High income

Hungary

10.2 10.0 1,1174.2 4.3 5476.4 10.0 8.1

4,700 12,980 37,9904.3 2.9 2.05.4 4.3 1.5

32.2 29.4 25.023.5 21.7 15.962.4 66.2 73.5

9.8 4.2282.2 202.3

72.2 81.4 23.675.8 80.2 23.9

.. 46

.. 4 18

.. 4 6

.. 35.0 37.9

.. 2.0 2.1

.. 53.3 38.6

.. 16.7 14.3

.. 43.0

.. 6.3

5.2 13.527.4 0.721.6 48.79.6 48.0

32.6 39.4

1,168 2,645 ..5.8 2.2 2.0

23.0 20.1 18.0.. .. ..

-2.7 -4.0 -7.761.0 81.7 55.741.1 82.7 140.038.0 47.4 108.5

8.3 8.5 6.83.0 6.7 3.4

31.4 71.3 165.10.9 6.13.1 5.2 3.8

43.7 37.7 93.43,309 3,989 9,518

.. 2.930.1 117.7 111.2

7.0 61.6 72.3











Country data

High-income group

2000 2009 2009

High income

Iceland

0.28 0.32 1,1170.17 0.20 5472.3 7.2 8.1

30,830 43,430 37,9905.0 3.9 2.09.1 6.4 1.5

26.1 27.3 25.013.9 12.9 15.964.8 66.3 73.5

5.1 12.078.6 123.633.6 53.0 23.640.9 44.2 23.9

.. 15

.. 5 18

.. 5 6

.. 13.0 37.9

.. 1.0 2.1

.. 26.8 38.6

.. 6.9 14.3

.. 2.6

.. 12.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..1.8 0.5 2.0

22.9 13.9 18.0.. .. ..

2.7 -8.9 -7.760.5 104.7 55.797.7 340.7 140.042.6 90.5 108.56.2 13.0 6.81.5 61.2 3.4

97.1 261.2 165.112.7 9.66.2 7.2 3.8

29.5 36.6 93.426,221 50,067 9,518

.. ..76.5 109.4 111.244.5 94.5 72.3












Country data


2000 2009 2009

India

1,015.9 1,155.3 3,811385.4 457.5 1,787

4.3 4.4 5.3450 1,220 2,3215.9 7.9 8.5

23.4 17.8 13.326.2 27.0 38.915.6 14.8 25.850.5 55.3 47.7

4.0 10.944.9 48.413.2 19.6 28.914.2 24.0 28.3

.. 134

.. 29 35

.. 12 8

.. 56.0 57.7

.. 7.0 3.3

.. 63.3 40.2

.. 24.0 16.3

.. 84.8

.. 0.1

12.9 6.7.. 52.3.. 46.7.. 29.5

0.0 22.5

2,665 36,057 41,4770.8 2.5 2.0

22.7 30.8 34.916.3 22.4 19.9

-3.9 -4.9 -2.356.0 53.0 ..44.7 67.8 107.645.8 65.5 54.9

5.7 6.4 10.012.8 2.3 5.128.8 46.8 92.9

8.5 4.3.. .. 7.3

47.5 49.3 36.3402 566 1,318

.. ..0.4 45.4 57.80.5 5.3 17.2











Country data


2000 2009 2009


Indonesia

205.3 230.0 3,81197.0 115.6 1,7876.1 7.9 5.3

580 2,050 2,321-0.6 5.3 8.515.6 15.8 13.345.9 49.1 38.927.7 27.2 25.838.5 35.2 47.7

3.7 6.48,421.8 10,389.9

41.0 24.1 28.930.5 21.3 28.3

.. 121

.. 47 35

.. 9 8

.. 108.0 57.7

.. 5.5 3.3

.. 37.3 40.2

.. 26.6 16.3

.. 29.0

.. 0.2

.. 1.9

.. 14.0

.. 11.7

.. 23.5

.. 2.9

642 1,899 41,477-2.8 0.9 2.019.9 31.1 34.9

.. .. 19.9

-3.7 -1.7 -2.344.6 28.3 ..51.8 31.4 107.648.2 34.1 54.9

6.0 10.3 10.034.4 3.3 5.119.9 27.6 92.9-1.7 5.66.0 5.2 7.3

57.1 59.1 36.3402 591 1,318

.. 2.11.8 69.2 57.80.9 8.7 17.2












Country data


2000 2009 2009

Iran, Islamic Rep.

63.9 72.9 1,00222.4 29.2 45812.8 10.5 9.1

1,670 4,530 7,5023.7 5.4 4.4

13.7 10.2 6.236.7 44.5 31.513.2 10.6 16.749.5 45.3 62.414.5 13.5

1,765.3 9,864.322.7 32.2 25.417.4 21.5 24.2

.. 129

.. 8 43

.. 6 8

.. 87.0 40.1

.. 4.5 2.9

.. 44.1 43.0

.. 17.8 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

5 483 64,8990.0 0.9 2.4

26.4 25.8 20.717.6 16.7 15.6

1.8 0.6 -0.6.. .. ..

20.5 36.8 60.634.3 40.3 47.4

.. .. 9.7

.. .. 4.219.5 36.7 47.8

.. 11.3

.. -1.1 5.5

64.8 73.3 36.81,586 2,423 3,001

.. ..1.5 72.1 100.61.0 38.3 34.6











Country data


2000 2009 2009


Iraq

25.1 31.5 3,8116.0 7.7 1,787

.. 17.5 5.3

.. 2,210 2,32117.9 -0.3 8.55.4 8.6 13.3

84.4 70.1 38.90.9 1.7 25.8

10.3 21.3 47.7.. ..

0.3 1,170.0.. .. 28.9.. .. 28.3

.. 166

.. 77 35

.. 11 8

.. .. 57.7

.. .. 3.3

.. 28.4 40.2

.. 14.9 16.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. 447 41,4770.0 1.6 2.0

.. .. 34.9

.. .. 19.9

.. .. -2.3

.. .. ..

.. -5.9 107.6

.. 10.3 54.9

.. .. 10.0

.. .. 5.1

.. 6.4 92.9

.. 61.5

.. 7.8 7.3

84.3 .. 36.31,161 1,164 1,318

.. ..0.0 62.6 57.80.0 1.0 17.2











High income

Country data

High-income group

2000 2009 2009

Ireland

3.8 4.5 1,1171.8 2.2 5474.3 11.7 8.1

23,180 44,280 37,9909.7 3.9 2.03.2 1.0 1.5

42.0 31.2 25.032.9 23.7 15.954.9 67.8 73.5

5.6 -4.50.7 ..

98.3 88.5 23.684.8 73.6 23.9

.. 9

.. 13 18

.. 4 6

.. 18.0 37.9

.. 0.4 2.1

.. 26.5 38.6

.. 11.9 14.3

.. 13.2

.. 4.7

.. 2.3

.. 11.0

.. 37.4

.. 28.3

.. 17.2

.. .. ..26.4 11.1 2.023.2 15.1 18.0

.. .. ..

4.9 -13.9 -7.740.0 69.2 55.7

108.7 241.0 140.078.1 116.2 108.56.5 5.6 6.81.0 9.0 3.4

105.6 230.3 165.1-1.1 0.24.7 2.6 3.8

100.0 100.0 93.45,796 6,301 9,518

.. ..64.7 109.5 111.217.8 68.4 72.3











Country data

High-income group

2000 2009 2009

High income

Isle of Man

0.08 0.08 1,117.. .. 547

1.6 2.4 8.121,980 49,310 37,990

10.4 6.2 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5.. ..

0.7 0.6.. .. 23.6.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..

.. .. 111.2

.. .. 72.3











High income

Country data

High-income group

2000 2009 2009

Israel

6.3 7.4 1,1172.5 3.1 5478.8 7.6 8.1

17,840 25,790 37,9904.6 3.6 2.0

.. .. 1.5

.. .. 25.0

.. .. 15.9

.. .. 73.51.1 3.34.1 3.9

37.1 34.7 23.637.4 32.2 23.9

.. 29

.. 34 18

.. 5 6

.. 91.0 37.9

.. 4.0 2.1

.. 31.7 38.6

.. 23.8 14.3

.. 19.8

.. 4.5

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..6.5 2.0 2.0

20.4 16.7 18.0.. .. ..

-1.9 -4.3 -7.7.. .. 55.7

85.6 93.8 140.078.7 89.7 108.5

7.3 6.0 6.86.9 1.5 3.4

76.9 84.5 165.111.1 -1.44.2 2.6 3.8

100.0 100.0 93.46,323 7,054 9,518

.. ..70.0 121.2 111.220.2 49.7 72.3











Country data

High-income group

2000 2009 2009

High income

Italy

56.9 60.2 1,11723.2 25.4 54710.8 7.8 8.1

20,890 35,110 37,9901.8 0.5 2.02.8 1.8 1.5

28.4 25.1 25.021.0 16.1 15.968.8 73.1 73.5

2.5 0.81,736.2 ..

27.1 24.0 23.626.1 24.4 23.9

.. 80

.. 6 18

.. 6 6

.. 11.0 37.9

.. 1.8 2.1

.. 68.6 38.6

.. 22.8 14.3

.. 68.5

.. 1.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..1.2 1.4 2.0

20.3 18.9 18.0.. .. ..

-0.7 -4.9 -7.7119.4 118.9 55.792.0 139.1 140.050.2 78.2 108.5

7.0 8.0 6.87.8 7.0 3.4

76.0 110.8 165.15.0 2.65.2 4.9 3.8

100.0 100.0 93.45,299 5,661 9,518

.. ..74.2 150.5 111.223.2 48.5 72.3












Country data


2000 2009 2009

Jamaica

2.6 2.7 1,0021.2 1.2 458

15.5 11.4 9.13,310 4,590 7,502

-0.5 1.5 4.47.0 6.2 6.2

25.5 22.1 31.510.6 9.1 16.767.4 71.7 62.48.2 9.6

43.0 87.939.1 34.7 25.451.9 53.3 24.2

.. 81

.. 8 43

.. 6 8

.. 62.0 40.1

.. 1.1 2.9

.. 50.1 43.0

.. 28.6 18.0

.. 2.0

.. 1.2

.. 6.3

.. 4.9

.. 37.0

.. 6.9

.. 16.4

546 60 64,8995.2 4.5 2.4

28.9 21.1 20.723.9 .. 15.6

.. -15.9 -0.6

.. 115.8 ..38.8 47.4 60.634.5 40.0 47.4

9.2 .. 9.711.0 .. 4.225.7 28.5 47.811.5 9.311.7 9.5 5.5

70.1 73.3 36.82,321 2,552 3,001

.. ..14.2 110.1 100.6

3.1 58.6 34.6











Country data

High-income group

2000 2009 2009

High income

Japan

126.9 127.6 1,11767.6 65.8 5474.8 5.0 8.1

34,620 38,080 37,9900.6 1.1 2.01.8 1.5 1.5

32.4 28.0 25.022.2 19.9 15.965.8 70.6 73.5-0.7 -1.4

107.8 93.611.0 12.5 23.69.5 12.2 23.9

.. 18

.. 23 18

.. 8 6

.. 4.0 37.9

.. 0.6 2.1

.. 48.6 38.6

.. 27.9 14.3

.. 105.7

.. 1.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..0.2 0.2 2.0

25.2 20.6 18.0.. .. ..

.. .. -7.7

.. 157.7 55.7239.9 215.9 140.0231.5 209.3 108.5

4.6 4.7 6.85.3 1.7 3.4

222.3 171.0 165.13.9 2.72.0 1.3 3.8

76.6 79.6 93.47,974 8,071 9,518

.. ..52.6 90.1 111.230.0 77.7 72.3












Country data


2000 2009 2009

Jordan

4.8 6.0 3,8111.4 1.9 1,787

15.8 12.9 5.31,790 3,980 2,321

3.2 6.9 8.52.3 2.9 13.3

25.5 31.6 38.915.7 19.7 25.872.1 65.5 47.7

0.7 -0.70.7 0.7

41.8 43.5 28.968.5 65.0 28.3

.. 111

.. 13 35

.. 8 8

.. 4.0 57.7

.. 4.3 3.3

.. 31.2 40.2

.. 15.2 16.3

.. 2.7

.. 0.7

.. 6.7

.. 0.9

.. 8.6

.. 47.1

.. 15.5

584 1,580 41,47710.8 9.5 2.021.1 14.8 34.911.9 6.4 19.9

-2.0 -8.5 -2.393.7 57.9 ..89.4 110.4 107.690.6 104.0 54.9

7.0 11.0 10.018.4 6.7 5.172.1 71.7 92.912.2 1.1

4.8 4.3 7.3

100.0 100.0 36.31,377 2,087 1,318

.. 2.68.1 101.1 57.82.7 29.3 17.2











Country data


2000 2009 2009


Kazakhstan

14.9 15.9 1,0027.5 8.6 458

12.8 6.6 9.11,260 6,920 7,502

1.9 8.8 4.48.7 6.4 6.2

40.5 40.3 31.517.7 11.4 16.750.8 53.3 62.413.2 7.3

142.1 147.556.6 42.0 25.449.1 33.8 24.2

.. 59

.. 19 43

.. 6 8

.. 9.0 40.1

.. 1.5 2.9

.. 29.6 43.0

.. 16.3 18.0

.. 28.0

.. 2.6

7.6 4.757.1 25.117.4 31.07.4 47.8

12.8 10.8

375 596 64,8997.0 11.8 2.4

17.3 29.1 20.716.5 23.6 15.6

0.1 -2.0 -0.621.6 9.5 ..13.5 59.6 60.611.1 38.0 47.413.6 -9.3 9.7

.. 21.2 4.211.2 50.3 47.8

.. ..

.. .. 5.5

86.5 89.9 36.83,170 4,689 3,001

.. 2.81.3 94.4 100.60.7 33.4 34.6












Country data

Low-income group

2000 2009 2009

Kenya

31.4 39.8 84614.3 18.7 384

9.8 .. ..420 760 5092.2 4.4 5.4

32.4 22.6 26.116.9 15.3 24.411.6 8.7 12.450.7 62.1 49.510.0 9.276.2 77.421.6 25.2 23.231.7 38.3 35.9

.. 98

.. 33 41

.. 11 8

.. 47.0 71.0

.. 4.5 3.7

.. 49.7 76.5

.. 33.1 24.8

.. 17.9

.. 0.9

.. 5.1

.. 32.3

.. 22.9

.. 40.5

.. 9.8

130 289 4,7790.9 0.5 2.7

16.7 20.1 22.97.5 14.5 15.8

2.0 -5.5 -1.452.6 .. ..33.8 40.4 31.832.0 38.2 30.612.9 12.7 ..33.3 7.9 ..28.4 31.5 26.315.3 7.614.2 8.8 11.5

12.1 14.1 12.0109 155 231

.. 6.90.4 48.7 26.60.3 10.0 2.7











Country data


2000 2009 2009


Kiribati

0.08 0.10 3,811.. .. 1,787.. .. 5.3

1,380 1,830 2,3216.2 1.3 8.5

22.5 28.6 13.311.8 9.5 38.95.0 6.2 25.8

65.7 61.8 47.7.. ..

1.7 1.36.9 9.4 28.9

46.8 76.5 28.3

.. 93

.. 21 35

.. 6 8

.. 4.0 57.7

.. .. 3.3

.. 31.8 40.2

.. 23.4 16.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. 41,47725.8 1.7 2.0

.. .. 34.9

.. .. 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.9

.. .. 10.0

.. .. 5.1

.. .. 92.9

.. ..

.. .. 7.3

.. .. 36.3

.. .. 1,318

.. ..0.4 1.0 57.81.8 2.0 17.2












Country data

Low-income group

2000 2009 2009

Korea, Dem. Rep.

22.9 23.9 84611.1 12.4 384

.. .. ..

.. .. 509

.. .. 5.4

.. .. 26.1

.. .. 24.4

.. .. 12.4

.. .. 49.5

.. ..

.. ..

.. .. 23.2

.. .. 35.9

.. ..

.. .. 41

.. .. 8

.. .. 71.0

.. .. 3.7

.. .. 76.5

.. .. 24.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. 400 4,779

.. .. 2.7

.. .. 22.9

.. .. 15.8

.. .. -1.4

.. .. ..

.. .. 31.8

.. .. 30.6

.. .. ..

.. .. ..

.. .. 26.3

.. ..

.. .. 11.5

6.4 2.8 12.0715 820 231

.. ..0.0 0.3 26.60.0 0.0 2.7











Country data

High-income group

2000 2009 2009

High income

Korea, Rep.

47.0 48.7 1,11722.7 24.7 5474.4 3.6 8.1

9,910 19,830 37,9903.5 4.2 2.04.6 2.6 1.5

38.1 36.5 25.028.3 27.7 15.957.3 60.9 73.52.3 2.8

1,131.0 1,276.938.6 49.9 23.635.7 46.0 23.9

.. 16

.. 14 18

.. 8 6

.. 91.0 37.9

.. 1.5 2.1

.. 29.8 38.6

.. 15.3 14.3

.. 60.0

.. 1.7

.. 0.1

.. 21.3

.. 39.9

.. 3.9

.. 17.6

.. .. ..1.7 0.2 2.0

30.0 29.3 18.0.. .. ..

4.4 0.0 -7.79.6 .. 55.7

79.7 112.8 140.065.5 69.5 108.5

4.6 10.9 6.88.9 1.2 3.4

77.7 107.6 165.13.4 2.20.6 2.2 3.8

74.5 78.5 93.45,907 8,853 9,518

.. ..57.0 98.4 111.240.5 80.9 72.3











Country data


2000 2009 2009


Kosovo

1.7 1.8 3,811.. .. 1,787

57.0 45.4 5.3.. 3,240 2,321.. 4.8 8.5.. 12.0 13.3.. 20.0 38.9.. 17.3 25.8.. 68.0 47.7.. -2.4.. .... 14.1 28.9.. 54.4 28.3

.. 119

.. 58 35

.. 10 8

.. 30.0 57.7

.. 2.0 3.3

.. 16.5 40.2

.. 10.2 16.3

.. 0.1

.. 0.1

.. 9.8

.. 7.7

.. 25.3

.. 76.9

.. 7.9

.. .. 41,477

.. 7.5 2.0

.. 27.7 34.9

.. 17.3 19.9

.. .. -2.3

.. .. ..3.3 28.7 107.6

15.8 36.2 54.9.. .. 10.0.. 4.4 5.1

0.9 36.1 92.9.. 18.1.. 10.1 7.3

.. .. 36.3

.. .. 1,318

.. 42.8

.. .. 57.8

.. .. 17.2











KuwaitCountry data

High-income group

2000 2009 2009

High income

2.2 2.8 1,1171.1 1.5 5470.8 2.0 8.1

16,790 43,930 37,9901.8 8.4 2.00.4 0.5 1.5

59.2 51.0 25.02.6 2.3 15.9

40.5 48.5 73.52.5 4.00.3 0.3

56.5 66.4 23.630.1 25.6 23.9

.. 74

.. 35 18

.. 13 6

.. 78.0 37.9

.. 4.2 2.1

.. 15.5 38.6

.. 4.7 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..0.0 0.0 2.0

10.7 18.9 18.0.. .. ..

-5.1 20.0 -7.7.. .. 55.7

76.7 91.9 140.067.0 76.6 108.511.5 12.1 6.819.2 9.7 3.445.4 63.3 165.1-9.7 2.53.0 3.3 3.8

80.6 85.0 93.413,378 16,747 9,518

.. ..21.7 106.6 111.26.8 39.4 72.3











Kyrgyz RepublicCountry data

Low-income group

2000 2009 2009

Europe & Central Asia Low income

4.9 5.3 8462.1 2.5 3847.5 8.2 ..

280 870 5095.4 4.6 5.4

36.7 29.2 26.131.4 19.3 24.419.5 12.7 12.431.9 51.5 49.518.7 6.947.7 42.941.8 49.9 23.247.6 80.8 35.9

.. 44

.. 10 41

.. 2 8

.. 17.0 71.0

.. 4.0 3.7

.. 57.2 76.5

.. 8.9 24.8

.. 4.4

.. 1.3

5.2 4.980.3 39.1

5.9 17.95.2 25.2

14.3 16.2

5 75 4,779-0.2 4.1 2.718.3 21.2 22.910.5 18.3 15.8

-2.9 -1.4 -1.4114.5 .. ..

4.4 16.2 31.85.0 11.6 30.6

.. .. ..

.. .. ..4.2 15.1 26.3

19.5 20.533.5 19.2 11.5

91.1 .. 12.01,904 1,449 231

.. 5.70.2 84.3 26.61.0 41.2 2.7











Lao PDREast Asia & Pacific Low income

Country data

Low-income group

2000 2009 2009

5.4 6.3 8462.5 3.1 384

.. 1.4 ..280 880 5096.1 6.9 5.4

52.5 34.7 26.122.9 28.2 24.417.0 9.3 12.424.6 37.1 49.525.1 0.0

7,887.6 8,516.130.0 32.7 23.244.1 44.4 35.9

.. 171

.. 100 41

.. 7 8

.. 162.0 71.0

.. .. 3.7

.. 33.7 76.5

.. 25.2 24.8

.. ..

.. ..

.. 1.6

.. 26.2

.. 0.0

.. 58.8

.. 7.2

5 125 4,7792.0 5.4 2.7

28.3 37.1 22.914.7 32.3 15.8

.. -1.6 -1.4

.. .. ..10.1 9.8 31.816.0 20.2 30.6

.. .. ..

.. .. ..8.9 9.5 26.35.5 14.4

20.0 19.3 11.5

14.1 13.5 12.0.. .. 231.. 1.5

0.2 51.2 26.60.1 4.7 2.7











Latvia High income

Country data

High-income group

2000 2009 2009

2.4 2.3 1,1171.1 1.2 547

14.2 17.1 8.13,220 12,390 37,990

5.7 6.2 2.04.6 3.1 1.5

23.6 20.2 25.013.7 9.6 15.971.8 76.8 73.5

2.6 3.50.6 0.5

41.6 42.2 23.648.7 43.1 23.9

.. 24

.. 16 18

.. 5 6

.. 17.0 37.9

.. 3.0 2.1

.. 38.5 38.6

.. 6.5 14.3

.. 7.2

.. 4.6

6.0 9.738.2 4.430.8 37.3

5.2 93.213.0 18.2

229 122 ..5.3 0.4 2.0

24.2 21.3 18.020.5 21.3 ..

-2.2 -6.4 -7.712.0 41.8 55.724.0 104.2 140.018.7 39.2 108.58.5 7.4 6.84.6 16.4 3.4

19.2 107.8 165.17.4 17.17.5 8.2 3.8

100.0 100.0 93.42,078 3,087 9,518

.. 0.716.9 99.5 111.26.3 66.7 72.3











LebanonMiddle East & North Africa Upper middle income

Country data


2000 2009 2009

3.8 4.2 1,0021.2 1.5 4588.5 9.0 9.1

4,690 8,060 7,5021.2 4.6 4.47.1 5.3 6.2

22.8 16.5 31.513.0 8.8 16.770.1 78.2 62.4

.. 1.21,507.5 1,507.5

14.2 22.3 25.435.9 47.0 24.2

.. 113

.. 9 43

.. 5 8

.. 17.0 40.1

.. 4.0 2.9

.. 30.2 43.0

.. 6.1 18.0

.. ..

.. ..

.. 8.9

.. 19.2

.. 23.8

.. 117.6

.. 17.9

196 3 64,8997.0 13.9 2.4

21.0 29.2 20.716.6 27.6 15.6

-18.4 -8.3 -0.6.. .. ..

174.9 152.7 60.6182.9 226.7 47.4

6.4 7.0 9.77.8 6.0 4.2

87.9 73.9 47.820.7 3.56.9 2.3 5.5

84.9 .. 36.82,081 2,267 3,001

.. 29.919.7 36.1 100.68.0 23.7 34.6











LesothoCountry data


2000 2009 2009


1.9 2.1 3,8110.81 0.94 1,78727.3 .. 5.3550 980 2,3213.7 3.1 8.5

12.3 8.4 13.331.6 34.1 38.914.0 17.0 25.856.1 57.5 47.7

6.1 7.26.9 8.5

34.2 51.2 28.9103.4 111.7 28.3

.. 138

.. 40 35

.. 7 8

.. 44.0 57.7

.. 2.6 3.3

.. 19.6 40.2

.. 16.4 16.3

.. ..

.. ..

.. 5.6

.. 9.2

.. 32.7

.. 13.9

.. 24.7

3 11 41,47715.8 4.0 2.042.5 31.5 34.933.3 17.3 19.9

-2.8 5.8 -2.375.4 .. ..28.5 13.2 107.629.3 32.9 54.9

.. 7.9 10.0

.. 4.0 5.116.4 13.5 92.914.4 9.212.2 8.2 7.3

18.3 .. 36.3.. .. 1,318.. 6.8

1.1 32.0 57.80.2 3.7 17.2












Country data

Low-income group

2000 2009 2009

Liberia

2.8 4.0 8461.1 1.6 384

.. 5.6 ..140 160 509

38.9 0.0 5.472.0 61.3 26.111.6 16.8 24.49.5 12.7 12.4

16.4 21.9 49.5.. ..

41.0 68.321.5 31.1 23.226.0 172.6 35.9

.. 155

.. 20 41

.. 5 8

.. 84.0 71.0

.. 3.0 3.7

.. 43.7 76.5

.. 0.0 24.8

.. ..

.. ..

.. 7.5

.. 54.4

.. 10.1

.. ..

.. 2.4

.. 24 4,7793.7 24.9 2.74.9 16.4 22.92.0 4.3 15.8

.. 0.0 -1.4

.. .. ..

.. .. 31.8

.. .. 30.6

.. .. ..

.. .. ..3.1 16.1 26.3

22.1 6.314.3 10.1 11.5

6.2 .. 12.0.. .. 231.. 5.4

0.1 21.3 26.60.0 0.5 2.7











Country data


2000 2009 2009


Libya

5.3 6.4 1,0021.8 2.4 458

.. .. 9.14,610 12,020 7,502

.. 5.4 4.45.2 1.9 6.2

66.1 78.2 31.53.1 4.5 16.7

28.7 19.9 62.4-2.9 2.50.5 1.3

35.6 67.4 25.415.5 27.5 24.2

.. ..

.. .. 43

.. .. 8

.. .. 40.1

.. .. 2.9

.. .. 43.0

.. .. 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. 64,8990.4 2.7 2.4

13.1 27.9 20.72.0 5.9 15.6

.. .. -0.6

.. .. ..40.6 14.4 60.637.6 41.2 47.4

.. .. 9.7

.. .. 4.223.1 10.9 47.8-9.6 57.84.0 3.5 5.5

57.2 .. 36.82,227 3,909 3,001

.. ..0.7 77.9 100.60.2 5.5 34.6











High income

Country data

High-income group

2000 2009 2009

Liechtenstein

0.03 0.04 1,117.. .. 547.. .. 8.1

79,640 136,630 37,9907.5 2.5 2.0

.. .. 1.5

.. .. 25.0

.. .. 15.9

.. .. 73.5

.. ..

.. ..

.. .. 23.6

.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. 0.6

.. 25.1

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..30.4 97.5 111.236.5 64.0 72.3












Country data


2000 2009 2009

Lithuania

3.5 3.3 1,0021.7 1.6 458

15.9 13.7 9.13,200 11,410 7,502

4.6 6.3 4.46.3 4.3 6.2

29.8 31.5 31.519.3 17.9 16.763.9 64.2 62.4

1.0 4.44.0 2.5

44.7 60.2 25.451.0 71.7 24.2

.. 23

.. 22 43

.. 6 8

.. 30.0 40.1

.. 1.5 2.9

.. 38.7 43.0

.. 0.0 18.0

.. 5.4

.. 2.2

6.2 9.331.4 3.415.4 47.4

5.3 63.014.9 15.6

388 131 64,8993.3 0.6 2.4

18.7 25.2 20.716.4 22.7 15.6

-2.8 -9.0 -0.6.. 33.3 ..

18.5 72.8 60.617.0 40.1 47.410.2 7.9 9.711.3 19.3 4.213.2 70.9 47.811.1 10.88.3 3.6 5.5

.. 28.6 36.82,517 3,557 3,001

.. 1.115.0 148.6 100.66.4 58.8 34.6











Country data

High-income group

2000 2009 2009

High income

Luxembourg

0.44 0.50 1,1170.19 0.23 5472.3 5.1 8.1

43,660 76,710 37,9906.3 3.6 2.00.7 0.3 1.5

18.4 13.3 25.011.3 6.5 15.981.0 86.4 73.5

3.1 0.436.3 ..

150.0 169.4 23.6129.0 136.2 23.9

.. 45

.. 19 18

.. 6 6

.. 52.0 37.9

.. 2.0 2.1

.. 21.1 38.6

.. 4.1 14.3

.. 2.4

.. 7.4

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..437.8 372.6 2.020.8 17.5 18.0

.. .. ..

5.5 -0.7 -7.74.9 12.7 55.7

92.5 187.3 140.0313.2 341.6 108.5

4.0 6.0 6.80.5 1.3 3.4

102.2 186.0 165.15.7 ..2.0 .. 3.8

100.0 100.0 93.415,485 15,895 9,518

.. ..69.5 144.4 111.222.9 85.3 72.3











Country data

High-income group

2000 2009 2009

High income

Macao SAR, China

0.44 0.54 1,1170.22 0.33 547

6.7 3.6 8.114,350 39,550 37,990

-1.1 14.7 2.00.0 0.0 1.5

15.7 15.7 25.010.1 2.8 15.990.3 84.3 73.5-1.6 1.28.0 8.0

100.4 89.6 23.664.6 42.1 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..0.0 7.5 2.0

11.5 17.6 18.0.. .. ..

1.6 13.3 -7.7.. .. 55.7

77.4 51.3 140.0164.5 125.3 108.5

.. .. 6.8

.. .. 3.479.9 57.0 165.112.2 6.3

4.6 5.2 3.8

100.0 100.0 93.4.. .. 9,518.. ..

32.0 192.8 111.213.6 52.2 72.3












Country data


2000 2009 2009

Macedonia, FYR

2.0 2.0 1,0020.83 0.90 45832.2 32.2 9.1

1,840 4,400 7,5023.0 3.1 4.4

12.0 11.3 6.233.7 36.3 31.520.7 23.0 16.754.2 52.3 62.4

6.6 -0.365.9 44.148.6 44.3 25.463.5 67.3 24.2

.. 38

.. 3 43

.. 3 8

.. 26.0 40.1

.. 2.9 2.9

.. 10.6 43.0

.. 6.3 18.0

.. 8.1

.. 5.6

9.3 14.536.8 8.110.0 47.011.2 27.712.1 21.5

429 136 64,8996.0 2.7 2.4

16.2 20.8 20.711.5 18.2 15.6

.. -0.8 -0.6

.. .. ..

.. .. 60.6

.. .. 47.4

.. 11.4 9.723.1 8.9 4.217.8 44.3 47.89.9 7.17.7 3.0 5.5

63.8 56.5 36.82,929 3,723 3,001

.. 2.25.8 95.1 100.62.5 51.8 34.6











Country data

Low-income group

2000 2009 2009


Madagascar

15.3 19.6 8467.3 9.7 3845.8 2.6 ..

250 430 5093.9 3.6 5.4

29.2 29.1 26.114.2 16.0 24.412.2 14.1 12.456.6 54.9 49.511.9 9.0

1,353.5 1,956.230.7 28.5 23.238.0 52.2 35.9

.. 140

.. 7 41

.. 2 8

.. 30.0 71.0

.. .. 3.7

.. 37.7 76.5

.. 15.8 24.8

.. 0.7

.. 0.1

.. 17.1

.. 6.8

.. 12.2

.. 92.1

.. 8.7

10 83 4,7792.1 6.3 2.7

15.0 32.6 22.98.3 29.4 15.8

-2.0 -1.9 -1.4111.9 .. ..

11.1 14.5 31.814.0 17.3 30.6

7.1 .. ..8.6 .. ..8.8 11.5 26.3

18.0 33.811.5 33.5 11.5

11.6 .. 12.0.. .. 231.. 13.6

0.4 30.6 26.60.2 1.6 2.7












Country data

Low-income group

2000 2009 2009

Malawi

11.8 15.3 8465.0 6.3 384

.. 7.8 ..150 290 5093.8 4.8 5.4

39.5 30.5 26.117.9 16.1 24.412.9 10.0 12.442.5 53.4 49.529.6 8.459.5 141.225.6 30.0 23.235.3 37.7 35.9

.. 133

.. 39 41

.. 10 8

.. 84.0 71.0

.. 2.6 3.7

.. 25.1 76.5

.. 23.3 24.8

.. 0.6

.. 0.1

.. 3.5

.. 11.4

.. 20.6

.. 59.2

.. 17.9

5 73 4,7791.5 1.3 2.7

12.3 21.8 22.92.3 14.9 15.8

.. .. -1.4

.. .. ..9.1 9.7 31.8

17.8 15.0 30.6.. .. .... .. ..

9.1 14.2 26.317.3 15.619.9 21.8 11.5

.. 45.0 12.0

.. .. 231

.. 1.00.4 15.7 26.60.1 4.7 2.7











Country data


2000 2009 2009


Malaysia

23.3 27.5 1,0029.7 12.0 4583.0 3.7 9.1

3,450 7,350 7,5023.7 5.1 4.48.6 9.5 6.2

48.3 44.3 31.530.9 25.5 16.743.1 46.2 62.4

1.5 0.63.8 3.5

119.8 96.4 25.4100.6 74.9 24.2

.. 21

.. 17 43

.. 9 8

.. 75.0 40.1

.. 2.3 2.9

.. 33.7 43.0

.. 16.7 18.0

.. 41.6

.. 2.5

7.3 7.8.. ..

48.6 48.6.. 10.7

31.4 54.1

5,511 388 64,8994.0 0.7 2.4

25.3 20.1 20.713.4 9.6 15.6

-4.1 -6.4 -0.643.0 53.3 ..

135.4 138.0 60.6112.9 134.7 47.4

8.5 9.0 9.715.4 3.7 4.2

135.0 117.1 47.8-1.1 12.64.3 3.0 5.5

76.2 82.8 36.82,742 3,490 3,001

.. 0.822.0 110.6 100.621.4 57.6 34.6












Country data


2000 2009 2009

Maldives

0.27 0.31 3,8110.09 0.15 1,787

2.0 14.4 5.32,150 3,970 2,321

8.5 6.4 8.58.8 5.0 13.3

15.0 17.4 38.98.0 6.8 25.8

76.2 77.5 47.7.. 4.0

11.8 12.889.5 67.0 28.971.6 94.2 28.3

.. 85

.. 9 35

.. 5 8

.. 9.0 57.7

.. 6.7 3.3

.. 9.3 40.2

.. 0.0 16.3

.. 0.9

.. 3.1

.. ..

.. ..

.. ..

.. ..

.. ..

2 40 41,4772.1 7.6 2.0

26.3 53.5 34.9.. .. 19.9

-5.0 -26.5 -2.340.9 52.3 ..21.6 105.2 107.631.7 71.3 54.9

.. .. 10.0

.. .. 5.119.1 82.5 92.911.7 -6.26.1 6.5 7.3

.. 100.0 36.3

.. .. 1,318

.. ..2.8 147.9 57.82.2 28.4 17.2












Country data

Low-income group

2000 2009 2009

Mali

10.5 13.0 8463.0 3.8 3843.3 8.8 ..

250 680 5095.5 5.3 5.4

41.6 36.5 26.120.6 24.2 24.43.8 3.1 12.4

37.9 39.1 49.5-0.7 2.2

712.0 472.226.8 26.2 23.239.4 35.6 35.9

.. 153

.. 8 41

.. 6 8

.. 31.0 71.0

.. 3.6 3.7

.. 52.2 76.5

.. 12.9 24.8

.. ..

.. ..

.. 2.4

.. 31.1

.. 7.0

.. 48.4

.. 8.6

366 429 4,7793.4 1.2 2.7

24.6 22.4 22.915.9 14.0 15.8

-3.4 -2.1 -1.4.. .. ..

15.9 19.7 31.813.7 19.8 30.6

.. .. ..

.. .. ..16.6 17.4 26.3

.. ..

.. .. 11.5

12.1 19.0 12.0.. .. 231.. 4.2

0.1 28.8 26.60.1 1.9 2.7











Country data

High-income group

2000 2009 2009

High income

Malta

0.39 0.41 1,1170.16 0.17 5476.5 6.9 8.1

10,110 18,360 37,9904.9 2.0 2.02.3 1.8 1.5

50.9 33.0 25.022.4 13.6 15.946.8 65.2 73.5

2.4 2.10.4 0.3

92.1 74.2 23.6102.7 73.7 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. 2.7

.. 9.5

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..15.4 11.2 2.023.1 14.5 18.0

.. .. ..

.. -3.8 -7.7

.. 81.1 55.7134.2 160.6 140.0125.4 145.4 108.5

.. 15.2 6.8

.. 2.4 3.4106.8 135.5 165.1

3.0 2.12.4 2.6 3.8

88.0 87.5 93.44,313 4,806 9,518

.. ..29.3 101.7 111.213.1 58.0 72.3











Country data


2000 2009 2009


Marshall Islands

0.05 0.06 3,811.. .. 1,787

30.9 .. 5.32,420 3,060 2,321

-3.7 2.2 8.59.4 .. 13.3

18.6 .. 38.93.7 .. 25.8

72.1 .. 47.7.. .... .... .. 28.9.. .. 28.3

.. 108

.. 17 35

.. 5 8

.. .. 57.7

.. 2.0 3.3

.. 64.9 40.2

.. 0.0 16.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. 41,477

.. .. 2.0

.. .. 34.9

.. .. 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.9

.. .. 10.0

.. .. 5.1

.. .. 92.9

.. ..

.. .. 7.3

.. .. 36.3

.. .. 1,318

.. ..0.9 1.6 57.81.6 3.6 17.2












Country data

Low-income group

2000 2009 2009

Mauritania

2.6 3.3 8461.0 1.4 384

20.6 33.0 ..460 990 5092.3 4.7 5.4

27.6 20.6 26.129.7 34.7 24.49.0 4.1 12.4

42.6 44.8 49.53.3 2.2

238.9 262.446.2 49.7 23.274.2 67.6 35.9

.. 165

.. 19 41

.. 9 8

.. 31.0 71.0

.. 8.0 3.7

.. 68.4 76.5

.. 44.2 24.8

.. ..

.. ..

.. 5.8

.. 48.2

.. 3.2

.. 7.5

.. 5.9

43 43 4,7793.7 -1.3 2.7

19.4 25.2 22.914.8 36.7 15.8

.. .. -1.4

.. .. ..24.3 35.4 31.810.3 24.6 30.6

.. .. ..

.. .. ..23.1 27.0 26.323.9 15.116.2 15.5 11.5

.. 26.8 12.0

.. .. 231

.. 3.70.6 66.3 26.60.2 2.3 2.7











Country data


2000 2009 2009


Mauritius

1.2 1.3 1,0020.53 0.57 458

8.8 7.3 9.13,870 7,250 7,502

5.5 3.7 4.47.0 4.3 6.2

31.0 29.1 31.523.5 19.4 16.762.1 66.6 62.44.2 2.5

26.2 32.061.4 48.4 25.461.9 59.1 24.2

.. 20

.. 6 43

.. 5 8

.. 4.0 40.1

.. 1.7 2.9

.. 24.1 43.0

.. 11.8 18.0

.. 6.6

.. 7.3

.. 9.4

.. 0.3

.. 37.5

.. 18.7

.. 11.1

338 35 64,8995.8 3.0 2.4

22.9 26.2 20.716.5 19.5 15.6

.. 0.6 -0.6

.. 38.9 ..70.5 109.9 60.672.5 98.3 47.4

.. .. 9.7

.. .. 4.257.5 85.1 47.818.3 17.511.2 10.8 5.5

97.0 98.0 36.8.. .. 3,001.. 3.2

15.2 85.2 100.67.3 22.7 34.6












Country data


2000 2009 2009

Mayotte

0.16 0.20 1,002.. .. 458.. .. 9.1.. .. 7,502.. .. 4.4.. .. 6.2.. .. 31.5.. .. 16.7.. .. 62.4.. .... .... .. 25.4.. .. 24.2

.. ..

.. .. 43

.. .. 8

.. .. 40.1

.. .. 2.9

.. .. 43.0

.. .. 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. 64,899

.. .. 2.4

.. .. 20.7

.. .. 15.6

.. .. -0.6

.. .. ..

.. .. 60.6

.. .. 47.4

.. .. 9.7

.. .. 4.2

.. .. 47.8

.. ..

.. .. 5.5

.. .. 36.8

.. .. 3,001

.. ..12.7 28.0 100.6

.. .. 34.6











Country data


2000 2009 2009


Mexico

98.0 107.4 1,00239.5 47.2 458

2.6 5.2 9.15,110 8,960 7,502

5.4 2.2 4.44.2 4.3 6.2

28.0 34.8 31.520.3 17.2 16.767.8 60.9 62.49.5 5.39.5 13.5

30.9 27.8 25.432.9 29.3 24.2

.. 35

.. 9 43

.. 6 8

.. 52.0 40.1

.. 1.8 2.9

.. 50.5 43.0

.. 23.1 18.0

.. 44.1

.. 0.6

.. 20.5

.. 9.6

.. 2.6

.. 8.3

.. 20.3

5,277 4,165 64,8993.1 1.7 2.4

21.4 21.8 20.717.8 16.0 15.6

-1.2 .. -0.623.2 .. ..34.5 40.1 60.623.5 25.9 47.4

9.6 9.7 9.75.8 3.1 4.2

18.3 23.3 47.84.3 2.78.7 5.1 5.5

32.8 35.3 36.81,722 2,020 3,001

.. 2.414.4 77.8 100.65.2 26.5 34.6












Country data


2000 2009 2009

Micronesia, Fed. Sts.

0.11 0.11 3,811.. .. 1,787.. .. 5.3

2,270 2,500 2,321-0.3 -0.2 8.5

.. .. 13.3

.. .. 38.9

.. .. 25.8

.. .. 47.7

.. ..1.0 1.0

.. .. 28.9

.. .. 28.3

.. 141

.. 16 35

.. 7 8

.. .. 57.7

.. 5.3 3.3

.. 58.7 40.2

.. 0.0 16.3

.. ..

.. ..

.. 12.4

.. 0.0

.. 7.2

.. 67.1

.. 6.0

.. .. 41,477

.. .. 2.0

.. .. 34.9

.. .. 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.9

.. .. 10.0

.. .. 5.131.7 21.6 92.914.1 6.810.7 14.1 7.3

17.5 .. 36.3.. .. 1,318.. 5.8

0.0 34.3 57.83.7 15.4 17.2











Country data


2000 2009 2009


Moldova

4.1 3.6 3,8111.9 1.5 1,7878.5 6.4 5.3370 1,560 2,321-2.6 5.6 8.529.0 10.0 13.321.7 12.9 38.916.3 12.5 25.849.2 77.0 47.731.3 -0.112.4 11.149.8 36.8 28.975.4 73.4 28.3

.. 90

.. 10 35

.. 8 8

.. 37.0 57.7

.. 2.8 3.3

.. 30.9 40.2

.. 0.0 16.3

.. 4.2

.. 1.3

7.0 7.073.3 15.528.0 30.819.1 24.38.8 9.1

125 117 41,4779.9 2.4 2.0

15.4 25.8 34.913.8 22.1 19.9

-1.5 -5.7 -2.373.0 24.4 ..16.3 43.0 107.613.1 40.0 54.930.6 16.0 10.020.6 16.3 5.112.7 36.2 92.95.1 18.18.9 5.6 7.3

86.1 85.8 36.3892 1,287 1,318

.. 1.73.4 77.3 57.81.3 35.9 17.2











High income

Country data

High-income group

2000 2009 2009

Monaco

0.03 0.03 1,117.. .. 547

3.6 .. 8.191,070 197,590 37,990

2.9 4.3 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5.. .... .... .. 23.6.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

100.0 100.0 93.4.. .. 9,518.. .... .. 111.2.. .. 72.3











Country data


2000 2009 2009


Mongolia

2.4 2.7 3,8111.1 1.4 1,7873.4 3.3 5.3410 1,630 2,3213.0 7.4 8.5

32.7 23.5 13.320.3 32.7 38.9

4.6 4.7 25.847.0 43.8 47.711.6 6.3

1,076.7 1,437.856.4 55.8 28.970.9 62.6 28.3

.. 73

.. 13 35

.. 7 8

.. 9.0 57.7

.. 4.0 3.3

.. 23.0 40.2

.. 9.5 16.3

.. ..

.. ..

.. 12.1

.. 20.8

.. 26.5

.. 20.0

.. 16.7

11 2 41,4774.9 14.8 2.0

25.1 49.0 34.922.0 45.8 19.9

0.2 -4.5 -2.381.9 64.8 ..10.8 41.8 107.612.8 34.9 54.9

.. .. 10.0

.. .. 5.17.2 43.9 92.98.6 21.3

20.2 8.4 7.3

3.5 .. 36.31,080 1,473 1,318

.. 2.66.5 84.2 57.81.3 13.1 17.2












Country data


2000 2009 2009

Montenegro

0.66 0.62 1,002.. .. 458.. 30.3 9.1

1,840 6,650 7,502-1.6 4.7 4.4

12.5 10.0 6.223.4 20.1 31.510.2 5.9 16.764.1 69.9 62.4

.. ..1.1 0.7

36.8 32.8 25.451.1 65.9 24.2

.. 66

.. 10 43

.. 7 8

.. 28.0 40.1

.. 2.0 2.9

.. 26.6 43.0

.. 6.6 18.0

.. 0.4

.. 0.9

.. 6.8

.. 3.4

.. 75.9

.. 30.9

.. 13.0

10 306 64,899.. 32.0 2.4

16.9 26.8 20.7.. 18.3 15.6

.. .. -0.6

.. .. ..

.. .. 60.6

.. .. 47.4

.. 11.0 9.7

.. 13.5 4.28.1 76.5 47.8

.. 6.7

.. 5.5 5.5

.. .. 36.8

.. .. 3,001

.. 7.0

.. 120.5 100.6

.. 44.9 34.6











Country data


2000 2009 2009


Morocco

28.8 32.0 3,81110.2 12.0 1,78713.6 10.0 5.3

1,310 2,770 2,3213.4 5.0 8.5

14.9 16.4 13.329.1 28.5 38.917.5 15.9 25.856.0 55.1 47.7

1.9 1.010.6 8.128.0 28.6 28.933.4 39.5 28.3

.. 114

.. 12 35

.. 6 8

.. 85.0 57.7

.. 1.8 3.3

.. 41.7 40.2

.. 18.1 16.3

.. 26.2

.. 1.3

.. 11.4

.. 10.7

.. 12.3

.. 18.8

.. 17.3

2,135 240 41,4770.6 2.2 2.0

26.0 30.7 34.921.3 24.8 19.9

-3.1 1.0 -2.356.5 46.9 ..66.4 99.9 107.659.2 87.0 54.9

9.8 7.6 10.017.5 5.5 5.151.0 64.4 92.914.0 9.98.2 8.0 7.3

56.4 67.8 36.3489 736 1,318

.. 2.58.1 79.1 57.80.7 32.2 17.2












Country data

Low-income group

2000 2009 2009

Mozambique

18.2 22.9 8468.9 11.0 3842.2 .. ..

230 440 5098.1 7.9 5.4

24.0 31.5 26.124.5 23.6 24.412.2 13.6 12.451.5 44.9 49.512.7 3.315.2 27.516.5 25.1 23.237.0 43.8 35.9

.. 126

.. 13 41

.. 9 8

.. 134.0 71.0

.. 5.0 3.7

.. 34.3 76.5

.. 27.7 24.8

.. ..

.. ..

.. 3.3

.. 9.8

.. 10.5

.. 12.7

.. 18.7

45 52 4,7793.3 9.0 2.7

31.0 21.0 22.921.7 7.9 15.8

.. .. -1.4

.. .. ..19.3 18.9 31.823.3 26.4 30.6

8.2 7.7 ..17.8 1.8 ..16.7 25.1 26.36.3 12.09.3 6.2 11.5

18.7 20.8 12.0122 461 231

.. 3.00.3 26.1 26.60.1 2.7 2.7











Country data

Low-income group

2000 2009 2009


Myanmar

46.6 50.0 84625.2 27.0 384

.. .. ..

.. .. 5098.1 13.0 5.4

57.2 48.4 26.19.7 16.2 24.47.2 11.6 12.4

33.1 35.4 49.5-0.1 1.56.4 5.50.5 0.2 23.20.6 0.1 35.9

.. ..

.. .. 41

.. .. 8

.. .. 71.0

.. .. 3.7

.. .. 76.5

.. .. 24.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

325 556 4,779.. .. 2.7

11.8 11.7 22.9.. .. 15.8

.. -2.0 -1.4

.. .. ..13.1 5.3 31.817.9 8.1 30.6

.. .. ..

.. .. ..10.4 4.7 26.312.5 11.1

5.5 5.0 11.5

11.4 11.9 12.075 97 231

.. ..0.0 0.9 26.60.0 0.2 2.7












Country data


2000 2009 2009

Namibia

1.8 2.2 1,0020.60 0.78 45820.3 37.6 9.1

2,030 4,270 7,5023.5 5.3 4.4

11.8 9.4 6.228.0 32.7 31.512.8 14.7 16.760.2 58.0 62.4

.. 8.86.9 8.5

40.9 46.6 25.444.5 59.9 24.2

.. 69

.. 66 43

.. 10 8

.. 24.0 40.1

.. 1.5 2.9

.. 9.6 43.0

.. 4.0 18.0

.. ..

.. ..

.. 2.9

.. 2.6

.. 8.1

.. 9.2

.. 17.6

10 9 64,8993.0 5.3 2.4

16.6 24.7 20.711.1 15.6 15.6

-1.6 2.0 -0.6.. .. ..

51.7 59.7 60.643.8 41.2 47.4

8.7 7.9 9.73.4 2.7 4.2

39.8 46.8 47.8-9.0 4.47.9 4.9 5.5

13.6 .. 36.81,226 1,797 3,001

.. 1.64.5 56.1 100.61.6 5.9 34.6











Country data

Low-income group

2000 2009 2009

South Asia Low income

Nepal

24.4 29.3 84610.2 13.3 384

8.8 .. ..220 440 5094.6 3.7 5.4

40.8 33.8 26.122.1 15.9 24.4

9.4 7.0 12.437.0 50.2 49.52.5 11.6

71.1 77.523.3 15.7 23.232.4 37.4 35.9

.. 116

.. 31 41

.. 7 8

.. 90.0 71.0

.. 5.0 3.7

.. 38.2 76.5

.. 16.2 24.8

.. ..

.. ..

.. 6.5

.. 14.9

.. 17.5

.. 9.0

.. 3.1

30 14 4,7790.0 0.3 2.7

19.3 21.2 22.912.4 17.1 15.8

.. -1.0 -1.464.6 43.7 ..34.9 63.9 31.838.8 67.5 30.6

.. .. ..

.. .. ..30.7 59.4 26.34.8 -3.63.5 5.5 11.5

.. 55.9 12.058 89 231

.. 52.00.0 26.0 26.60.2 2.1 2.7











High income

Country data

High-income group

2000 2009 2009

Netherlands

15.9 16.5 1,1178.1 9.0 5472.7 3.4 8.1

26,580 48,460 37,9904.1 1.7 2.02.6 1.7 1.5

24.9 24.0 25.015.6 12.6 15.972.4 74.3 73.52.3 1.22.0 ..

70.1 69.4 23.664.5 62.2 23.9

.. 30

.. 8 18

.. 6 6

.. 17.0 37.9

.. 1.1 2.1

.. 40.5 38.6

.. 20.9 14.3

.. 35.1

.. 3.1

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..16.4 4.2 2.021.9 19.1 18.0

.. .. ..

2.0 -4.8 -7.752.1 58.3 55.7

147.5 223.6 140.092.4 134.7 108.5

5.1 4.3 6.81.8 0.8 3.4

134.2 215.3 165.10.6 2.31.9 -0.6 3.8

90.0 .. 93.46,560 7,226 9,518

.. ..67.5 128.1 111.244.0 90.0 72.3











Country data

High-income group

2000 2009 2009

High income

Netherlands Antilles

0.18 0.20 1,1170.08 0.10 54714.0 10.3 8.1

.. .. 37,990

.. .. 2.0

.. .. 1.5

.. .. 25.0

.. .. 15.9

.. .. 73.55.8 1.81.8 1.8

.. .. 23.6

.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. 1.2

.. 8.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..6.1 5.3 3.8

.. .. 93.45,402 5,342 9,518

.. ..16.5 108.6 111.2

1.1 .. 72.3











High income

Country data

High-income group

2000 2009 2009

New Caledonia

0.21 0.25 1,1170.09 0.11 547

.. .. 8.114,020 .. 37,990

0.2 .. 2.03.7 .. 1.5

19.6 .. 25.04.0 .. 15.9

76.7 .. 73.5.. ..

129.5 87.213.1 .. 23.633.0 .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..-1.5 .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..23.4 83.1 111.214.1 34.0 72.3











Country data

High-income group

2000 2009 2009

High income

New Zealand

3.9 4.3 1,1171.9 2.4 5476.2 6.1 8.1

13,620 28,810 37,9902.5 2.5 2.08.8 5.6 1.5

25.1 25.0 25.016.7 15.1 15.966.1 69.4 73.5

3.0 1.92.2 1.6

35.1 28.2 23.633.5 26.5 23.9

.. 3

.. 1 18

.. 1 6

.. .. 37.9

.. 1.3 2.1

.. 34.3 38.6

.. 30.4 14.3

.. 47.9

.. 17.1

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..2.9 -1.0 2.0

20.1 19.4 18.0.. .. ..

1.7 3.1 -7.733.5 37.9 55.7

116.1 154.4 140.078.7 91.0 108.5

.. .. 6.8

.. .. 3.4110.4 147.0 165.1

5.9 8.62.9 6.3 3.8

62.8 65.9 93.49,413 9,492 9,518

.. ..40.0 108.9 111.247.5 83.4 72.3












Country data


2000 2009 2009

Nicaragua

5.1 5.7 3,8111.9 2.3 1,7879.8 5.0 5.3

730 1,000 2,3215.0 3.3 8.5

20.9 19.0 13.328.2 29.6 38.917.0 20.0 25.850.9 51.4 47.7

7.1 3.712.7 20.323.9 35.1 28.951.1 61.2 28.3

.. 117

.. 39 35

.. 6 8

.. 22.0 57.7

.. 2.2 3.3

.. 63.2 40.2

.. 24.8 16.3

.. ..

.. ..

.. 9.3

.. 2.6

.. 13.0

.. 62.7

.. 18.7

219 53 41,4776.8 7.1 2.0

26.5 27.3 34.919.8 20.2 19.9

-3.6 -2.3 -2.3.. .. ..

33.8 33.4 107.634.4 37.1 54.9

6.3 .. 10.05.2 .. 5.1

31.1 34.4 92.98.8 -2.07.3 8.0 7.3

11.1 12.0 36.3337 457 1,318

.. 12.51.8 55.8 57.81.0 3.5 17.2











Country data

Low-income group

2000 2009 2009


Niger

11.0 15.3 8463.6 4.8 3841.5 .. ..170 340 5093.4 4.3 5.4

37.8 39.6 26.117.8 17.1 24.46.8 6.3 12.4

44.4 43.2 49.52.9 4.3

712.0 472.217.8 15.0 23.225.7 24.2 35.9

.. 173

.. 17 41

.. 9 8

.. 35.0 71.0

.. 5.0 3.7

.. 46.5 76.5

.. 20.1 24.8

.. 0.0

.. 0.0

.. 21.1

.. 13.7

.. 9.3

.. 37.1

.. 4.6

13 87 4,7790.5 13.7 2.7

11.2 18.5 22.94.6 12.2 15.8

.. -0.9 -1.4

.. .. ..6.2 13.4 31.85.7 11.4 30.6

.. .. ..

.. .. ..4.8 12.2 26.3

.. ..

.. .. 11.5

25.7 20.7 12.0.. .. 231.. 20.1

0.0 17.0 26.60.0 0.8 2.7











Country data


2000 2009 2009


Nigeria

124.8 154.7 3,81139.2 50.0 1,787

.. .. 5.3270 1,190 2,3212.7 6.6 8.5

48.6 32.7 13.330.5 40.7 38.9

3.4 2.6 25.820.9 26.6 47.7

6.9 11.5101.7 148.954.0 35.9 28.932.0 27.2 28.3

.. 137

.. 31 35

.. 8 8

.. 50.0 57.7

.. 2.0 3.3

.. 32.2 40.2

.. 21.8 16.3

.. 65.1

.. 0.8

.. 6.1

.. 22.9

.. 2.7

.. 7.5

.. 8.5

76 3,057 41,4772.5 3.3 2.0

.. .. 34.9

.. .. 19.9

.. -1.7 -2.3

.. 3.0 ..17.7 45.2 107.614.9 33.7 54.9

7.4 18.4 10.022.6 6.6 5.112.5 37.6 92.9

-12.2 19.19.6 5.1 7.3

.. 15.0 36.373 126 1,318

.. 26.30.0 47.2 57.80.1 28.4 17.2











Country data

High-income group

2000 2009 2009

High income

Northern Mariana Islands

0.07 0.09 1,117.. .. 547

3.8 8.3 8.1.. .. 37,990.. .. 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5.. .... .... .. 23.6.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..4.3 26.2 111.2

.. .. 72.3











High income

Country data

High-income group

2000 2009 2009

Norway

4.5 4.8 1,1172.4 2.6 5473.4 3.2 8.1

35,870 84,640 37,9903.6 2.1 2.02.1 1.2 1.5

42.0 40.1 25.010.6 9.5 15.956.0 58.7 73.5

3.1 2.28.8 6.3

46.5 42.0 23.629.4 27.3 23.9

.. 8

.. 7 18

.. 5 6

.. 13.0 37.9

.. 0.9 2.1

.. 41.6 38.6

.. 24.4 14.3

.. 13.8

.. 4.5

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..4.1 3.0 2.0

18.4 21.6 18.0.. .. ..

15.7 10.7 -7.723.5 36.3 55.769.8 90.0 140.045.9 54.3 108.5

7.0 6.0 6.81.2 1.5 3.4

65.5 77.4 165.1-5.8 8.72.2 2.0 3.8

76.0 80.5 93.424,994 24,867 9,518

.. ..71.8 110.5 111.226.7 91.8 72.3











High income

Country data

High-income group

2000 2009 2009

Oman

2.4 2.8 1,1170.88 1.1 547

.. .. 8.16,720 17,890 37,990

3.2 4.5 2.02.0 1.9 1.5

57.2 55.1 25.05.4 8.3 15.9

40.8 43.0 73.5-0.8 3.90.4 0.4

59.2 59.3 23.631.4 38.0 23.9

.. 57

.. 12 18

.. 5 6

.. 4.0 37.9

.. 4.0 2.1

.. 21.6 38.6

.. 9.7 14.3

.. 3.2

.. 1.7

.. ..

.. ..

.. 31.0

.. 14.7

.. 10.8

.. .. ..0.4 4.8 2.0

11.9 .. 18.04.4 .. ..

-4.4 .. -7.719.1 .. 55.742.1 45.7 140.028.4 41.0 108.512.8 13.5 6.811.3 3.5 3.436.8 49.0 165.1-8.3 -16.02.4 3.3 3.8

30.0 43.5 93.43,153 4,894 9,518

.. ..6.7 139.5 111.23.5 43.5 72.3











Country data


2000 2009 2009


Pakistan

138.1 169.7 3,81141.6 58.1 1,7877.2 5.0 5.3

490 1,000 2,3213.0 5.2 8.5

25.9 21.6 13.323.3 24.3 38.914.7 17.1 25.850.7 54.2 47.74.4 13.6

53.6 81.713.4 12.8 28.914.7 20.4 28.3

.. 83

.. 21 35

.. 10 8

.. 90.0 57.7

.. 2.8 3.3

.. 31.6 40.2

.. 14.3 16.3

.. 2.8

.. 0.0

8.7 2.2.. 58.8

14.6 9.7.. 106.3

17.0 9.6

77 2,732 41,4770.4 1.5 2.0

15.9 17.4 34.910.3 12.7 19.9

-4.1 -4.8 -2.379.1 .. ..32.0 38.4 107.627.7 31.6 54.94.9 10.1 10.0

19.5 12.2 5.122.3 23.5 92.9

.. -4.6

.. 5.9 7.3

56.0 65.4 36.3374 436 1,318

.. 34.10.2 60.7 57.81.4 12.0 17.2












Country data


2000 2009 2009

Palau

0.02 0.02 1,002.. .. 458.. .. 9.1

6,260 6,220 7,5021.2 1.2 4.43.9 3.5 6.2

15.3 20.7 31.51.4 0.5 16.7

80.8 75.8 62.4.. .... ..

9.6 80.8 25.4106.1 100.2 24.2

.. 120

.. 28 43

.. 8 8

.. .. 40.1

.. 1.0 2.9

.. 73.0 43.0

.. 65.9 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. 64,899

.. .. 2.4

.. .. 20.7

.. .. 15.6

.. .. -0.6

.. .. ..

.. .. 60.6

.. .. 47.4

.. .. 9.7

.. .. 4.2

.. .. 47.8

.. ..

.. .. 5.5

.. .. 36.8

.. .. 3,001

.. ..12.3 64.5 100.620.0 27.3 34.6












Country data


2000 2009 2009

Panama

3.0 3.5 1,0021.3 1.6 458

13.8 5.9 9.13,740 6,570 7,502

5.0 6.9 4.47.2 5.8 6.2

19.1 17.1 31.510.1 6.4 16.773.6 77.1 62.4

1.5 2.41.0 1.0

72.6 77.0 25.469.8 61.1 24.2

.. 72

.. 9 43

.. 6 8

.. 44.0 40.1

.. 2.5 2.9

.. 50.1 43.0

.. 17.0 18.0

.. 0.5

.. 0.3

.. 10.3

.. 7.7

.. 19.2

.. 10.2

.. 14.7

111 137 64,8995.4 7.2 2.4

21.2 23.8 20.717.9 14.6 15.6

-0.8 .. -0.6.. .. ..

96.8 87.5 60.676.7 86.2 47.49.6 11.7 9.71.4 1.4 4.2

101.9 85.7 47.811.9 4.03.4 4.8 5.5

34.6 38.1 36.81,301 1,646 3,001

.. 4.213.9 164.4 100.6

6.6 27.8 34.6












Papua New GuineaCountry data


2000 2009 2009

5.4 6.7 3,8112.3 3.0 1,787

.. .. 5.3620 1,180 2,321-0.8 3.4 8.535.8 35.9 13.341.4 44.5 38.9

7.5 5.9 25.822.8 19.6 47.715.6 6.92.8 2.8

66.2 57.9 28.949.2 57.1 28.3

.. 103

.. 51 35

.. 6 8

.. 39.0 57.7

.. 3.0 3.3

.. 42.3 40.2

.. 22.0 16.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

71 150 41,4772.7 5.4 2.0

20.4 18.5 34.9.. .. 19.9

-1.9 .. -2.357.7 .. ..29.3 22.2 107.629.0 25.3 54.9

.. .. 10.0

.. .. 5.117.2 32.1 92.93.9 14.29.1 7.8 7.3

3.5 .. 36.3.. .. 1,318.. ..

0.2 13.4 57.80.8 1.9 17.2












Country data


2000 2009 2009

Paraguay

5.4 6.3 3,8112.3 3.0 1,7877.6 5.6 5.3

1,350 2,250 2,3210.1 3.4 8.5

17.0 19.3 13.322.5 21.2 38.915.5 13.0 25.860.5 59.5 47.7

9.0 2.63,486.4 4,965.4

38.2 46.5 28.949.0 51.6 28.3

.. 106

.. 35 35

.. 7 8

.. 99.0 57.7

.. 3.9 3.3

.. 35.0 40.2

.. 9.6 16.3

.. ..

.. ..

.. 7.9

.. 24.5

.. 8.2

.. 27.2

.. 7.1

30 93 41,4771.5 1.4 2.0

17.5 15.2 34.9.. 15.1 19.9

-3.9 0.1 -2.3.. .. ..

28.6 27.3 107.622.2 25.3 54.912.4 8.7 10.012.3 1.6 5.129.8 29.1 92.913.1 28.411.1 26.8 7.3

50.8 .. 36.3880 1,002 1,318

.. 2.315.3 88.5 57.8

0.7 15.8 17.2











Country data


2000 2009 2009


Peru

26.0 29.2 1,00211.2 13.6 458

7.4 6.8 9.12,050 4,200 7,502

2.4 6.0 4.48.5 7.3 6.2

29.9 34.1 31.515.8 14.0 16.761.6 58.6 62.43.8 2.93.5 3.0

16.0 23.6 25.418.2 19.7 24.2

.. 36

.. 27 43

.. 6 8

.. 17.0 40.1

.. 3.1 2.9

.. 40.2 43.0

.. 26.0 18.0

.. 51.2

.. 2.7

.. 13.5

.. 1.626.3 30.9

.. 81.62.6 14.6

952 1,753 64,8991.5 3.7 2.4

20.2 24.0 20.716.3 18.2 15.6

-2.1 -1.5 -0.6.. 23.6 ..

28.5 26.5 60.625.8 29.0 47.4

9.1 9.9 9.79.0 2.7 4.2

26.0 24.1 47.825.4 17.520.2 18.2 5.5

13.4 13.9 36.8678 1,032 3,001

.. 0.94.9 84.7 100.63.1 27.7 34.6












Country data


2000 2009 2009

Philippines

77.7 92.0 3,81131.5 38.8 1,78711.2 7.5 5.3970 1,790 2,3213.5 4.9 8.5

15.8 14.8 13.332.3 30.2 38.922.2 20.4 25.852.0 55.0 47.7

4.0 3.244.2 47.755.4 31.7 28.953.5 30.8 28.3

.. 148

.. 38 35

.. 15 8

.. 91.0 57.7

.. 5.7 3.3

.. 45.8 40.2

.. 21.3 16.3

.. 11.4

.. 0.2

.. 9.1

.. 21.8

.. 22.0

.. 23.1

.. 15.7

2,153 5,559 41,4773.0 1.2 2.0

21.2 14.7 34.914.6 10.7 19.9

-3.9 -3.9 -2.352.9 77.7 ..54.4 48.0 107.658.0 57.0 54.913.6 11.1 10.024.0 4.1 5.139.2 30.3 92.9

4.3 5.92.6 5.8 7.3

20.0 9.9 36.3501 588 1,318

.. 1.08.3 81.0 57.82.0 6.5 17.2











Country data

High-income group

2000 2009 2009

High income

Poland

38.5 38.1 1,11717.4 17.4 54716.1 8.2 8.1

4,590 12,260 37,9905.4 4.4 2.05.0 3.6 1.5

31.7 30.5 25.018.5 16.2 15.963.3 65.9 73.510.1 3.84.3 3.1

27.1 38.9 23.633.5 38.8 23.9

.. 70

.. 32 18

.. 6 6

.. 13.0 37.9

.. 3.0 2.1

.. 42.3 38.6

.. 17.7 14.3

.. 14.4

.. 0.5

7.8 12.829.4 4.829.2 40.7

8.2 83.011.4 17.3

7,807 4,638 ..5.5 3.2 2.0

23.7 21.0 18.021.3 21.0 ..

-2.8 -6.1 -7.733.0 48.1 55.734.6 63.1 140.036.0 46.6 108.5

7.1 9.0 6.815.5 7.6 3.426.6 52.9 165.112.0 3.95.8 3.3 3.8

68.3 68.2 93.43,240 3,732 9,518

.. 2.317.5 116.8 111.27.3 58.8 72.3











High income

Country data

High-income group

2000 2009 2009

Portugal

10.2 10.6 1,1175.2 5.6 5473.9 9.5 8.1

12,070 21,910 37,9904.3 0.8 2.03.7 2.3 1.5

28.0 22.8 25.017.5 13.0 15.968.3 74.8 73.5

2.8 -0.8180.1 ..29.0 28.0 23.640.0 35.6 23.9

.. 31

.. 6 18

.. 6 6

.. 97.0 37.9

.. 2.0 2.1

.. 43.3 38.6

.. 14.9 14.3

.. 27.8

.. 3.9

.. 1.1

.. 52.1

.. 24.4

.. 5.7

.. 12.7

.. .. ..5.7 1.2 2.0

27.7 19.5 18.0.. .. ..

-2.6 -8.7 -7.758.2 84.4 55.7

128.0 194.9 140.089.5 117.4 108.5

5.8 6.5 6.82.2 3.2 3.4

126.6 187.8 165.11.8 ..2.8 .. 3.8

86.0 86.0 93.44,014 4,822 9,518

.. ..65.2 142.8 111.216.4 48.6 72.3











Country data

High-income group

2000 2009 2009

High income

Puerto Rico

3.8 4.0 1,1171.4 1.5 547

10.1 13.4 8.110,560 .. 37,990

4.4 .. 2.00.9 .. 1.5

41.3 .. 25.038.3 .. 15.957.8 .. 73.5

.. ..

.. ..75.2 .. 23.698.0 .. 23.9

.. 47

.. 7 18

.. 7 6

.. .. 37.9

.. 3.8 2.1

.. 67.7 38.6

.. 26.3 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

94.0 95.0 93.4.. .. 9,518.. ..

34.6 68.5 111.210.5 25.2 72.3











High income

Country data

High-income group

2000 2009 2009

Qatar

0.62 1.4 1,1170.35 1.00 547

3.9 0.5 8.1.. .. 37,990.. 14.2 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5

1.7 -4.93.6 3.6

67.3 46.7 23.622.3 31.2 23.9

.. 50

.. 12 18

.. 8 6

.. 69.0 37.9

.. 2.8 2.1

.. 11.3 38.6

.. 0.0 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.019.5 39.3 18.0

.. .. ..

.. 15.2 -7.7

.. .. 55.754.4 75.8 140.041.9 58.5 108.5

.. .. 6.8

.. .. 3.426.8 51.5 165.1

.. 31.0

.. 2.8 3.8

90.0 .. 93.413,782 15,682 9,518

.. ..19.6 175.4 111.24.9 28.3 72.3











Country data


2000 2009 2009


Romania

22.4 21.5 1,00211.8 9.5 458

7.0 6.9 9.11,690 8,330 7,502

-2.1 5.6 4.412.5 7.2 6.236.4 26.0 31.514.5 21.5 16.751.1 66.9 62.445.7 5.62.2 3.0

32.7 33.3 25.437.9 40.2 24.2

.. 56

.. 10 43

.. 6 8

.. 8.0 40.1

.. 3.3 2.9

.. 44.9 43.0

.. 10.4 18.0

.. 56.7

.. 3.7

8.6 9.235.2 12.119.8 37.320.1 42.021.7 26.1

901 3,037 64,8992.8 3.9 2.4

18.9 30.3 20.7.. 28.0 15.6

-2.0 -4.6 -0.6.. .. ..

12.4 48.5 60.619.7 32.9 47.48.6 7.6 9.73.3 15.3 4.27.2 47.1 47.86.7 10.1

20.7 5.3 5.5

49.5 30.2 36.81,988 2,488 3,001

.. 3.011.1 118.1 100.63.6 36.2 34.6












Country data


2000 2009 2009

Russian Federation

146.3 141.9 1,00272.3 75.9 45810.6 8.2 9.1

1,710 9,340 7,5021.2 6.0 4.46.4 4.7 6.2

37.9 32.8 31.517.1 15.0 16.755.6 62.5 62.420.8 11.728.1 31.744.1 27.7 25.424.0 20.4 24.2

.. 123

.. 30 43

.. 9 8

.. 17.0 40.1

.. 3.8 2.9

.. 46.5 43.0

.. 9.0 18.0

.. 261.6

.. 2.6

8.2 19.954.2 17.411.1 30.610.2 57.520.3 11.7

1,939 5,827 64,8991.0 3.0 2.4

16.9 21.4 20.715.1 18.2 15.6

7.0 5.3 -0.649.0 8.6 ..21.3 47.5 60.615.6 37.8 47.412.1 15.7 9.7

7.7 9.7 4.213.4 45.3 47.8-9.6 12.517.9 6.7 5.5

67.4 80.1 36.85,209 6,435 3,001

.. 1.52.2 162.5 100.62.0 42.1 34.6











Country data

Low-income group

2000 2009 2009


Rwanda

8.0 10.0 8463.7 5.0 384

.. .. ..250 490 50910.1 7.6 5.437.2 34.2 26.113.6 14.5 24.4

7.0 6.4 12.449.2 51.3 49.5

3.9 10.4389.7 568.3

8.7 11.7 23.225.7 29.2 35.9

.. 58

.. 3 41

.. 2 8

.. 26.0 71.0

.. .. 3.7

.. 31.3 76.5

.. 21.2 24.8

.. 3.0

.. 0.5

.. 5.9

.. 4.9

.. 15.9

.. 18.2

.. 10.8

8 183 4,7790.5 2.3 2.7

18.3 21.8 22.912.1 10.6 15.8

.. .. -1.4

.. .. ..11.3 12.6 31.813.0 14.2 30.6

8.1 13.0 ..57.0 13.1 ..10.4 11.2 26.320.6 3.36.9 9.8 11.5

.. 19.0 12.0

.. .. 231

.. 13.60.5 24.3 26.60.1 4.5 2.7












Country data


2000 2009 2009

Samoa

0.18 0.18 3,8110.06 0.06 1,787

5.0 .. 5.31,420 2,840 2,321

3.3 3.5 8.516.8 11.9 13.326.0 26.7 38.914.8 9.4 25.857.2 61.4 47.71.0 6.33.3 2.7

33.8 33.5 28.957.2 58.5 28.3

.. 61

.. 9 35

.. 5 8

.. 9.0 57.7

.. 2.5 3.3

.. 18.9 40.2

.. 11.9 16.3

.. ..

.. ..

.. 12.1

.. 19.6

.. 48.3

.. 9.8

.. 31.4

10 .. 41,477-0.6 0.6 2.0

.. .. 34.9

.. .. 19.9

.. .. -2.3

.. .. ..33.1 34.9 107.634.4 37.6 54.9

.. .. 10.0

.. .. 5.130.6 44.8 92.9

8.9 10.36.9 7.3 7.3

14.2 .. 36.3.. .. 1,318.. 5.2

1.4 84.4 57.80.6 5.0 17.2











Country data

High-income group

2000 2009 2009

High income

San Marino

.. 0.03 1,117

.. .. 5473.0 2.6 8.1

.. 50,670 37,9905.5 3.2 2.0

.. .. 1.5

.. .. 25.0

.. .. 15.9

.. .. 73.5

.. 2.21.1 0.7

.. .. 23.6

.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

1.3 6.2 -7.716.5 62.0 55.7

133.1 .. 140.0139.2 .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.16.4 4.56.6 5.0 3.8

.. .. 93.4

.. .. 9,518

.. ..

.. 76.3 111.2

.. 54.1 72.3












Country data


2000 2009 2009

São Tomé and Príncipe

0.14 0.16 3,8110.05 0.06 1,78714.4 16.7 5.3

.. 1,130 2,321

.. 6.3 8.519.7 16.8 13.316.9 20.5 38.9

5.7 6.4 25.863.5 62.7 47.7

.. ..7,978.2 16,208.5

.. .. 28.9

.. .. 28.3

.. 178

.. 144 35

.. 10 8

.. 91.0 57.7

.. .. 3.3

.. 33.3 40.2

.. 21.9 16.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

2 50 41,4773.9 3.9 2.0

.. .. 34.9

.. .. 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.9

.. .. 10.0

.. .. 5.14.3 34.6 92.9

25.7 14.618.7 19.7 7.3

68.1 .. 36.3.. .. 1,318.. ..

0.0 39.3 57.84.6 16.4 17.2











Country data

High-income group

2000 2009 2009

High income

Saudi Arabia

20.6 25.4 1,1176.3 8.6 5474.6 5.4 8.1

8,150 17,210 37,9902.3 3.8 2.04.9 2.9 1.5

53.9 50.6 25.09.7 10.4 15.9

41.1 46.4 73.5-1.1 5.13.8 3.8

43.7 53.7 23.624.9 42.7 23.9

.. 11

.. 5 18

.. 4 6

.. 80.0 37.9

.. 1.5 2.1

.. 14.5 38.6

.. 2.1 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..-1.0 2.8 2.017.5 24.7 18.0

.. .. ..

.. .. -7.7

.. .. 55.742.0 65.6 140.016.2 31.0 108.5

9.6 11.9 6.810.4 3.3 3.424.4 52.1 165.1

.. ..

.. .. 3.8

29.9 21.5 93.45,670 7,527 9,518

.. ..6.7 176.7 111.22.2 38.6 72.3












Country data


2000 2009 2009

Senegal

9.9 12.5 3,8114.1 5.4 1,787

.. 10.0 5.3510 1,040 2,3214.4 4.3 8.5

19.1 16.6 13.323.2 21.7 38.914.7 12.7 25.857.6 61.7 47.70.7 -1.1

712.0 472.227.9 24.0 28.937.2 44.0 28.3

.. 152

.. 8 35

.. 4 8

.. 38.0 57.7

.. 3.0 3.3

.. 46.0 40.2

.. 14.8 16.3

.. 1.6

.. 0.2

.. 2.9

.. 18.7

.. 19.8

.. 9.4

.. 6.1

79 520 41,4771.3 1.6 2.0

22.4 27.9 34.917.9 17.8 19.9

-0.9 .. -2.373.7 .. ..21.4 29.1 107.618.4 28.6 54.9

9.9 9.3 10.018.1 18.7 5.118.7 24.7 92.9

.. ..

.. .. 7.3

29.3 29.3 36.3101 158 1,318

.. 11.82.5 55.1 57.80.4 7.4 17.2











Country data


2000 2009 2009


Serbia

7.5 7.3 1,002.. .. 458.. 16.6 9.1

1,400 6,000 7,5021.5 5.0 4.4

21.4 12.9 6.232.6 27.7 31.5

.. .. 16.746.0 59.4 62.471.1 7.863.2 67.623.9 27.5 25.440.5 43.9 24.2

.. 89

.. 13 43

.. 7 8

.. 25.0 40.1

.. 2.7 2.9

.. 34.0 43.0

.. 11.6 18.0

.. 9.7

.. 1.9

10.3 12.244.8 3.610.6 42.8

8.7 109.59.6 21.8

345 190 64,8990.9 4.5 2.4

12.7 23.8 20.79.9 20.7 15.6

.. -2.6 -0.6

.. .. ..62.4 51.4 60.614.1 40.4 47.418.3 21.0 9.721.6 15.5 4.249.1 42.2 47.8

-40.1 1.6-72.4 0.0 5.5

62.7 47.7 36.84,199 4,284 3,001

.. 1.1

.. 135.4 100.6

.. 56.1 34.6












Country data


2000 2009 2009

Seychelles

0.08 0.09 1,002.. .. 458

9.8 5.5 9.17,420 8,480 7,502

6.6 1.7 4.43.0 2.0 6.2

29.0 19.7 31.519.2 11.8 16.768.0 78.3 62.4

6.3 31.85.7 13.6

78.2 119.3 25.481.4 127.6 24.2

.. 95

.. 39 43

.. 10 8

.. 39.0 40.1

.. .. 2.9

.. 44.1 43.0

.. 20.8 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

7 15 64,8994.0 32.5 2.4

25.2 24.2 20.713.8 20.9 15.6

-13.9 4.3 -0.6.. .. ..

96.5 103.1 60.683.8 105.9 47.4

.. .. 9.7

.. .. 4.222.3 25.1 47.8

9.4 -10.36.0 5.6 5.5

84.5 96.5 36.8.. .. 3,001.. ..

32.0 104.9 100.67.4 38.6 34.6











Country data

Low-income group

2000 2009 2009


Sierra Leone

4.2 5.7 8461.7 2.1 384

.. 3.4 ..150 340 509-5.0 9.5 5.458.4 51.4 26.128.4 22.1 24.4

3.5 3.7 12.413.3 26.6 49.5

.. 9.32,092.1 3,385.7

18.1 15.7 23.239.3 28.5 35.9

.. 143

.. 12 41

.. 6 8

.. 189.0 71.0

.. 2.6 3.7

.. 235.6 76.5

.. 0.0 24.8

.. ..

.. ..

.. 7.4

.. 8.6

.. 6.9

.. 14.8

.. 13.8

3 23 4,7796.1 3.8 2.76.9 15.1 22.91.7 7.4 15.8

-9.3 -3.1 -1.4247.4 .. ..

7.5 12.5 31.89.1 14.6 30.6

18.5 18.9 ..37.9 16.5 ..2.1 9.3 26.3

19.0 12.017.0 14.8 11.5

7.9 .. 12.0.. .. 231.. 15.9

0.3 20.4 26.60.1 0.3 2.7











High income

Country data

High-income group

2000 2009 2009

Singapore

4.0 5.0 1,1172.1 2.7 5476.0 5.9 8.1

23,350 37,220 37,9905.7 6.5 2.0

.. .. 1.535.6 26.3 25.027.7 19.4 15.964.3 74.0 73.5

1.4 0.61.7 1.5

191.4 220.5 23.6176.4 202.6 23.9

.. 1

.. 3 18

.. 3 6

.. 4.0 37.9

.. 0.8 2.1

.. 25.4 38.6

.. 7.4 14.3

.. 26.4

.. 7.4

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..17.8 9.2 2.030.6 26.8 18.022.5 17.0 ..

11.4 1.7 -7.786.9 113.3 55.7

120.6 133.9 140.0108.4 135.8 108.5

10.0 10.5 6.83.4 2.3 3.4

99.5 103.2 165.12.0 7.44.1 5.1 3.8

100.0 100.0 93.47,575 8,185 9,518

.. ..68.2 133.4 111.232.3 73.3 72.3











Country data

High-income group

2000 2009 2009

High income

Slovak Republic

5.4 5.4 1,1172.6 2.7 547

18.8 12.1 8.15,370 16,130 37,990

3.7 5.8 2.04.5 2.6 1.5

36.2 34.5 25.024.7 19.3 15.959.3 62.9 73.512.0 1.646.0 21.470.5 99.5 23.673.0 103.7 23.9

.. 41

.. 16 18

.. 6 6

.. 26.0 37.9

.. 4.0 2.1

.. 48.7 38.6

.. 7.0 14.3

.. 15.8

.. 4.0

6.1 6.741.2 3.1

9.6 33.515.2 25.020.0 28.6

.. .. ..7.2 0.0 2.0

25.8 26.1 18.023.8 22.2 ..

.. -7.3 -7.7

.. 38.1 55.784.9 53.8 140.056.9 48.8 108.5

4.6 9.6 6.813.7 5.3 3.451.1 44.7 165.15.0 2.86.4 4.3 3.8

87.0 87.0 93.44,956 5,268 9,518

.. 1.223.1 101.5 111.2

9.4 75.0 72.3











High income

Country data

High-income group

2000 2009 2009

Slovenia

2.0 2.0 1,1170.96 1.0 547

7.2 5.9 8.111,090 23,520 37,990

4.4 3.8 2.03.3 2.4 1.5

35.8 33.9 25.025.8 22.1 15.960.9 63.8 73.5

8.9 0.9222.7 191.053.9 58.9 23.657.4 57.4 23.9

.. 42

.. 6 18

.. 2 6

.. 37.0 37.9

.. 2.0 2.1

.. 35.4 38.6

.. 14.8 14.3

.. 5.8

.. 4.2

4.4 7.314.7 0.012.7 52.26.4 60.8

32.0 28.0

.. .. ..0.7 -1.2 2.0

26.1 24.0 18.057.3 59.1 ..

-1.1 -5.5 -7.722.2 .. 55.746.7 93.6 140.044.9 55.8 108.510.1 8.3 6.86.5 2.3 3.4

35.9 94.0 165.19.9 4.05.7 4.5 3.8

100.0 100.0 93.45,778 6,920 9,518

.. 2.761.1 102.8 111.215.1 63.6 72.3











Country data

Low-income group

2000 2009 2009


Solomon Islands

0.42 0.52 8460.09 0.12 38431.9 .. ..

1,000 910 509-1.9 4.5 5.434.7 38.9 26.112.7 6.1 24.48.0 3.8 12.4

52.6 55.0 49.57.9 7.15.1 8.1

24.1 33.5 23.238.6 46.9 35.9

.. 96

.. 57 41

.. 7 8

.. 44.0 71.0

.. 1.0 3.7

.. 36.4 76.5

.. 25.8 24.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. 5 4,7793.0 17.9 2.76.1 13.4 22.9

.. .. 15.8

.. .. -1.4

.. .. ..23.3 .. 31.824.0 .. 30.6

.. .. ..

.. .. ..16.0 28.3 26.33.5 6.6

11.6 11.1 11.5

2.4 .. 12.0.. .. 231.. ..

0.3 5.7 26.60.5 1.9 2.7












Country data

Low-income group

2000 2009 2009

Somalia

7.4 9.1 8462.9 3.5 384

.. .. ..

.. .. 509

.. .. 5.4

.. .. 26.1

.. .. 24.4

.. .. 12.4

.. .. 49.5

.. ..

.. ..

.. .. 23.2

.. .. 35.9

.. ..

.. .. 41

.. .. 8

.. .. 71.0

.. .. 3.7

.. .. 76.5

.. .. 24.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

1 1 4,779.. .. 2.7.. .. 22.9.. .. 15.8

.. .. -1.4

.. .. ..

.. .. 31.8

.. .. 30.6

.. .. ..

.. .. ..

.. .. 26.3

.. ..

.. .. 11.5

11.8 .. 12.0.. .. 231.. ..

1.1 7.0 26.60.2 1.2 2.7











Country data


2000 2009 2009


South Africa

44.0 49.3 1,00215.3 18.8 45826.7 23.8 9.1

3,050 5,760 7,5022.5 4.1 4.43.3 3.0 6.2

31.8 31.1 31.519.0 15.1 16.764.9 65.8 62.4

5.3 7.16.9 8.5

27.9 27.3 25.424.9 28.1 24.2

.. 34

.. 22 43

.. 6 8

.. 24.0 40.1

.. 2.0 2.9

.. 30.5 43.0

.. 24.4 18.0

.. 24.7

.. 0.8

.. 6.0

.. 3.1

.. 34.8

.. 15.8

.. 26.4

1,891 2,387 64,8990.7 1.9 2.4

15.1 22.6 20.712.4 13.4 15.6

-2.0 -4.9 -0.645.3 .. ..74.9 92.4 60.651.5 63.2 47.4

8.7 6.7 9.73.1 5.9 4.2

133.7 147.1 47.85.2 4.15.3 3.2 5.5

20.3 .. 36.84,417 4,759 3,001

.. 2.119.0 94.2 100.65.5 9.0 34.6











High income

Country data

High-income group

2000 2009 2009

Spain

40.3 46.0 1,11718.0 22.9 54713.9 18.0 8.1

15,420 32,120 37,9904.2 2.8 2.04.4 2.7 1.5

29.2 26.2 25.018.6 12.7 15.966.4 71.2 73.5

3.4 -0.4149.4 ..29.0 23.4 23.632.2 25.6 23.9

.. 49

.. 47 18

.. 10 6

.. 56.0 37.9

.. 1.0 2.1

.. 56.5 38.6

.. 20.9 14.3

.. 79.8

.. 2.9

.. 0.8

.. 14.3

.. 32.6

.. 9.3

.. 21.3

.. .. ..6.7 0.4 2.0

25.8 24.1 18.0.. .. ..

-0.5 -8.6 -7.758.9 46.5 55.7

116.5 226.9 140.078.8 156.5 108.5

8.5 6.8 6.81.2 5.1 3.4

97.7 211.5 165.11.7 ..2.2 .. 3.8

99.0 99.0 93.45,207 6,315 9,518

.. ..60.3 111.0 111.213.6 61.2 72.3











Country data


2000 2009 2009


Sri Lanka

18.7 20.3 3,8117.8 8.3 1,7877.7 7.6 5.3

880 1,990 2,3215.1 5.5 8.5

19.9 12.6 13.327.3 29.7 38.916.8 18.1 25.852.8 57.7 47.76.2 3.5

77.0 114.939.0 21.4 28.949.6 27.9 28.3

.. 102

.. 35 35

.. 4 8

.. 217.0 57.7

.. 1.7 3.3

.. 64.7 40.2

.. 27.4 16.3

.. 4.2

.. 0.3

.. 3.5

.. 2.7

.. 26.2

.. 83.4

.. ..

160 421 41,4771.1 1.0 2.0

28.0 23.8 34.924.8 17.4 19.9

-8.4 -6.6 -2.396.9 85.0 ..34.3 36.2 107.633.5 33.7 54.9

4.4 .. 10.015.3 .. 5.128.8 24.8 92.9

8.3 9.57.0 5.1 7.3

85.8 81.0 36.3296 409 1,318

.. ..2.3 69.4 57.80.6 8.7 17.2












Country data


2000 2009 2009

St. Kitts and Nevis

0.04 0.05 1,002.. .. 458

5.1 .. 9.16,470 10,150 7,502

4.3 3.2 4.42.7 2.8 6.2

28.8 22.4 31.510.4 8.4 16.768.5 74.8 62.4

3.1 -0.72.7 2.7

46.0 35.2 25.476.3 68.7 24.2

.. 87

.. 19 43

.. 7 8

.. 13.0 40.1

.. .. 2.9

.. 52.7 43.0

.. 32.7 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

4 1 64,89929.5 24.5 2.450.1 39.6 20.739.7 41.9 15.6

.. -3.4 -0.6

.. 96.1 ..125.9 152.4 60.6119.6 145.8 47.4

.. .. 9.7

.. .. 4.277.3 83.6 47.86.8 4.66.8 4.2 5.5

42.5 .. 36.8.. .. 3,001.. ..

2.7 167.4 100.66.1 34.3 34.6











Country data


2000 2009 2009


St. Lucia

0.16 0.17 1,0020.06 0.08 45816.5 21.0 9.1

4,130 5,190 7,5023.0 2.7 4.47.1 4.9 6.2

19.0 18.2 31.55.1 6.4 16.7

74.0 76.9 62.43.7 1.02.7 2.7

53.3 49.0 25.463.0 69.3 24.2

.. 53

.. 14 43

.. 5 8

.. 56.0 40.1

.. 2.0 2.9

.. 34.0 43.0

.. 25.4 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

15 11 64,8997.6 16.5 2.4

25.7 23.7 20.716.5 18.3 15.6

.. .. -0.6

.. .. ..87.9 143.7 60.673.5 107.0 47.4

.. .. 9.7

.. .. 4.277.6 138.6 47.810.7 10.98.3 7.3 5.5

.. .. 36.8

.. .. 3,001

.. ..1.6 102.3 100.65.1 83.0 34.6












Country data


2000 2009 2009

St. Vincent & Grenadines

0.11 0.11 1,0020.05 0.05 458

.. .. 9.12,920 5,130 7,502

5.7 4.5 4.410.8 7.5 6.224.0 24.5 31.56.0 4.1 16.7

65.2 68.0 62.41.4 -1.62.7 2.7

52.9 33.8 25.459.1 71.7 24.2

.. 75

.. 10 43

.. 7 8

.. 54.0 40.1

.. .. 2.9

.. 38.7 43.0

.. 30.2 18.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. 35 64,89911.1 18.9 2.427.0 34.8 20.720.0 .. 15.6

.. .. -0.6

.. .. ..79.7 73.5 60.687.2 71.9 47.4

.. .. 9.7

.. .. 4.264.7 59.5 47.811.1 6.06.9 6.2 5.5

68.0 70.0 36.8.. .. 3,001.. ..

2.2 110.9 100.63.2 69.6 34.6











Country data


2000 2009 2009


Sudan

34.9 42.3 3,81110.5 13.5 1,787

.. .. 5.3320 1,220 2,3216.2 7.3 8.5

41.7 29.7 13.321.5 26.0 38.98.6 6.8 25.8

36.8 44.3 47.78.0 11.22.6 2.3

15.3 15.1 28.917.7 20.8 28.3

.. 154

.. 36 35

.. 10 8

.. 118.0 57.7

.. .. 3.3

.. 36.1 40.2

.. 13.8 16.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

12 357 41,4773.2 4.9 2.0

12.1 21.8 34.99.7 16.3 19.9

-0.4 .. -2.38.7 .. ..2.4 14.2 107.65.7 13.4 54.9

.. .. 10.0

.. .. 5.12.2 12.3 92.9

.. ..

.. .. 7.3

36.3 .. 36.362 96 1,318

.. ..0.1 36.3 57.80.0 9.9 17.2












Country data


2000 2009 2009

Suriname

0.47 0.52 1,0020.16 0.19 45813.8 9.5 9.1

1,930 4,760 7,5021.7 5.4 4.4

11.2 4.7 6.225.2 40.2 31.5

9.0 20.7 16.763.7 55.1 62.459.4 -0.11.3 2.7

19.7 30.7 25.433.2 45.6 24.2

.. 161

.. 694 43

.. 13 8

.. 26.0 40.1

.. 5.0 2.9

.. 27.9 43.0

.. 27.9 18.0

.. 0.1

.. 0.4

.. ..

.. ..

.. ..

.. ..

.. ..

.. 60 64,899-16.6 -7.7 2.412.4 25.1 20.7

9.8 19.8 15.6

.. .. -0.6

.. .. ..12.6 29.6 60.621.7 47.7 47.4

.. .. 9.7

.. .. 4.28.4 27.8 47.8

-16.7 -5.713.5 5.3 5.5

26.0 26.3 36.8.. .. 3,001.. ..

8.8 147.0 100.62.5 31.4 34.6











Country data


2000 2009 2009


Swaziland

1.1 1.2 3,8110.37 0.46 1,78722.5 .. 5.3

1,550 2,470 2,3214.3 2.6 8.5

12.5 7.3 13.345.0 49.4 38.939.5 44.4 25.842.6 43.3 47.712.2 7.3

6.9 8.576.1 59.8 28.990.1 76.5 28.3

.. 118

.. 56 35

.. 12 8

.. 53.0 57.7

.. 2.0 3.3

.. 36.8 40.2

.. 28.1 16.3

.. ..

.. ..

.. 4.4

.. 3.3

.. 7.7

.. 16.9

.. 22.1

5 25 41,4776.1 2.2 2.0

17.4 16.9 34.911.5 3.0 19.9

-0.8 -2.9 -2.326.8 .. ..13.0 23.8 107.617.7 27.6 54.9

.. 16.9 10.0

.. 8.1 5.112.8 25.0 92.913.8 5.6

7.5 6.0 7.3

30.0 .. 36.3.. .. 1,318.. 2.5

3.1 55.4 57.80.9 7.6 17.2











High income

Country data

High-income group

2000 2009 2009

Sweden

8.9 9.3 1,1174.5 5.0 5475.8 8.3 8.1

29,500 48,840 37,9903.6 2.4 2.02.1 1.7 1.5

28.8 25.1 25.022.0 16.1 15.969.1 73.1 73.5

1.0 -0.39.2 7.7

46.5 48.5 23.640.2 41.6 23.9

.. 14

.. 15 18

.. 3 6

.. 26.0 37.9

.. 2.0 2.1

.. 54.6 38.6

.. 16.4 14.3

.. 24.2

.. 4.1

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..8.9 2.8 2.0

18.0 17.9 18.0.. .. ..

.. .. -7.768.2 44.0 55.749.2 147.9 140.041.6 58.3 108.56.5 5.0 6.81.6 2.0 3.4

42.3 139.3 165.14.3 2.43.7 2.5 3.8

.. 23.6 93.415,687 14,869 9,518

.. ..71.8 122.8 111.245.6 90.3 72.3











Country data

High-income group

2000 2009 2009

High income

Switzerland

7.2 7.7 1,1174.0 4.4 5472.7 4.1 8.1

40,280 65,430 37,9902.1 1.9 2.01.6 1.2 1.5

27.3 26.8 25.019.0 19.0 15.971.1 72.0 73.51.5 -0.51.7 1.1

46.5 51.7 23.640.7 40.7 23.9

.. 27

.. 20 18

.. 6 6

.. 13.0 37.9

.. 3.0 2.1

.. 30.1 38.6

.. 8.9 14.3

.. 25.3

.. 4.9

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..7.9 5.6 2.0

22.7 20.2 18.0.. .. ..

2.2 1.3 -7.725.6 28.9 55.7

172.5 188.8 140.0116.6 145.7 108.5

6.0 5.5 6.84.1 0.4 3.4

158.5 174.8 165.13.1 2.51.3 2.7 3.8

.. 100.0 93.47,847 8,307 9,518

.. ..64.6 119.7 111.247.9 70.9 72.3












Country data


2000 2009 2009

Syrian Arab Republic

16.5 21.1 3,8114.9 6.9 1,7872.3 8.4 5.3

960 2,410 2,3212.2 4.4 8.5

23.8 21.0 13.337.9 33.7 38.96.5 13.4 25.8

38.3 45.3 47.7-3.8 2.911.2 11.235.4 33.9 28.928.6 35.7 28.3

.. 144

.. 13 35

.. 7 8

.. 80.0 57.7

.. 4.1 3.3

.. 42.9 40.2

.. 23.2 16.3

.. ..

.. ..

.. 12.2

.. 61.0

.. 20.7

.. 118.4

.. 7.4

161 153 41,4771.4 2.7 2.0

17.3 19.5 34.96.3 10.4 19.9

.. .. -2.3

.. .. ..36.9 42.8 107.638.3 51.4 54.9

.. .. 10.0

.. .. 5.18.3 20.3 92.9

-0.6 19.05.0 3.7 7.3

.. 91.0 36.31,058 1,521 1,318

.. 16.10.2 46.0 57.80.2 18.7 17.2











Europe & Central Asia Low income

Country data

Low-income group

2000 2009 2009

Tajikistan

6.2 7.0 8462.0 2.9 384

.. .. ..170 700 5091.1 8.2 5.4

27.4 22.4 26.138.9 23.7 24.433.7 10.8 12.433.7 53.9 49.538.6 6.4

2.1 4.198.8 13.4 23.2

100.9 56.3 35.9

.. 139

.. 27 41

.. 8 8

.. 30.0 71.0

.. 1.7 3.7

.. 86.0 76.5

.. 17.7 24.8

.. 2.2

.. 0.5

6.1 11.787.2 33.03.9 21.4

11.9 28.38.6 16.7

9 46 4,7792.7 0.3 2.77.4 17.2 22.90.7 4.0 15.8

-0.8 -6.6 -1.4114.1 .. ..13.6 0.8 31.83.2 9.2 30.6

.. .. ..

.. .. ..13.8 29.0 26.3

2.4 8.524.3 17.1 11.5

.. .. 12.02,177 2,072 231

.. 6.30.0 70.5 26.60.0 10.1 2.7











Country data

Low-income group

2000 2009 2009


Tanzania

34.1 43.7 84616.8 21.4 384

5.1 4.3 ..300 500 5094.2 7.1 5.4

33.5 28.8 26.119.2 24.3 24.4

9.4 9.5 12.447.3 46.9 49.55.9 12.1

800.4 1,320.313.4 23.2 23.220.1 35.2 35.9

.. 128

.. 29 41

.. 12 8

.. 18.0 71.0

.. 3.0 3.7

.. 45.2 76.5

.. 19.9 24.8

.. ..

.. ..

.. 4.0

.. 14.7

.. 6.8

.. 44.3

.. 14.7

61 522 4,7794.5 1.9 2.7

16.4 29.3 22.912.4 20.5 15.8

.. .. -1.4

.. .. ..

.. .. 31.8

.. .. 30.6

.. .. ..

.. .. ..4.1 15.3 26.3

13.0 7.114.2 7.1 11.5

.. 7.4 12.058 84 231

.. 12.00.3 39.9 26.60.1 1.5 2.7











Country data


2000 2009 2009


Thailand

62.3 67.8 3,81134.3 38.7 1,787

2.4 1.2 5.31,960 3,760 2,321

-0.7 4.6 8.59.0 11.6 13.3

42.0 43.3 38.933.6 34.1 25.849.0 45.1 47.7

1.6 -0.840.1 34.366.8 68.4 28.958.1 57.8 28.3

.. 19

.. 32 35

.. 7 8

.. 54.0 57.7

.. 2.7 3.3

.. 37.4 40.2

.. 28.9 16.3

.. 27.5

.. 0.6

.. 0.4

.. ..

.. 74.4

.. 27.9

.. 39.0

1,377 539 41,4772.7 1.9 2.0

22.0 24.4 34.913.8 17.9 19.9

.. -3.0 -2.3

.. 28.6 ..124.1 109.3 107.6106.6 100.1 54.9

7.5 9.8 10.017.7 5.3 5.1

108.3 116.3 92.96.4 3.94.5 4.9 7.3

98.5 .. 36.31,462 2,079 1,318

.. 1.34.9 122.6 57.83.7 25.8 17.2












Country data


2000 2009 2009

Timor-Leste

0.82 1.1 3,8110.28 0.44 1,787

.. .. 5.3330 2,460 2,321

.. 2.4 8.525.8 .. 13.318.5 .. 38.9

2.8 .. 25.855.7 .. 47.7

.. 0.7

.. ..

.. .. 28.9

.. .. 28.3

.. 174

.. 83 35

.. 10 8

.. 17.0 57.7

.. .. 3.3

.. 0.2 40.2

.. 0.0 16.3

.. ..

.. ..

.. 4.1

.. 2.6

.. 1.6

.. 9.1

.. 2.2

.. .. 41,477

.. .. 2.021.8 .. 34.9

7.7 .. 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.9

.. .. 10.0

.. .. 5.12.2 18.6 92.9

.. 1.1

.. 10.3 7.3

.. .. 36.3

.. .. 1,318

.. 7.7

.. .. 57.8

.. .. 17.2











Country data

Low-income group

2000 2009 2009


Togo

5.2 6.6 8462.2 3.0 384

.. .. ..280 440 5094.2 2.5 5.4

34.2 43.7 26.117.8 24.0 24.48.4 10.1 12.4

47.9 32.4 49.51.9 2.0

712.0 472.230.7 41.9 23.250.7 62.5 35.9

.. 160

.. 75 41

.. 7 8

.. 36.0 71.0

.. 3.0 3.7

.. 50.8 76.5

.. 8.8 24.8

.. 0.1

.. 0.0

.. 2.7

.. 16.4

.. 16.9

.. 53.9

.. 6.6

68 44 4,7793.2 1.8 2.7

17.8 22.3 22.914.8 19.5 15.8

.. -0.6 -1.4

.. .. ..16.7 24.6 31.815.6 25.7 30.6

.. .. ..

.. .. ..15.6 21.9 26.3

.. ..

.. .. 11.5

31.6 21.0 12.089 99 231

.. 11.11.0 33.0 26.61.9 5.4 2.7












Country data


2000 2009 2009

Tonga

0.10 0.10 3,8110.04 0.04 1,787

.. 1.1 5.32,020 3,260 2,321

2.0 1.0 8.522.8 19.6 13.321.3 18.5 38.910.5 8.1 25.855.9 61.9 47.7

6.3 1.41.8 2.0

15.4 13.2 28.946.9 58.5 28.3

.. 71

.. 25 35

.. 4 8

.. .. 57.7

.. 2.7 3.3

.. 25.5 40.2

.. 24.3 16.3

.. ..

.. ..

.. 6.6

.. 1.4

.. 33.9

.. 8.3

.. 7.8

7 10 41,4772.5 4.7 2.0

21.1 26.0 34.9.. .. 19.9

.. .. -2.3

.. .. ..58.2 52.2 107.643.8 49.4 54.9

.. .. 10.0

.. .. 5.141.0 48.2 92.9

7.8 13.86.0 7.2 7.3

27.0 .. 36.3.. .. 1,318.. 2.1

0.2 51.0 57.82.4 8.1 17.2











Country data

High-income group

2000 2009 2009

High income

Trinidad and Tobago

1.3 1.3 1,1170.59 0.70 54712.1 5.3 8.1

5,190 16,700 37,9905.0 7.4 2.01.4 0.4 1.5

49.5 52.5 25.07.3 6.3 15.9

49.1 47.1 73.53.6 7.06.3 6.3

59.1 68.4 23.645.5 39.4 23.9

.. 97

.. 43 18

.. 9 6

.. 67.0 37.9

.. .. 2.1

.. 33.1 38.6

.. 21.6 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..8.3 3.3 2.0

20.0 25.3 18.014.3 19.4 ..

2.0 2.3 -7.7.. 14.1 55.7

37.2 34.3 140.051.3 40.9 108.5

.. .. 6.8

.. .. 3.443.5 31.5 165.1

3.2 32.88.3 8.5 3.8

51.1 .. 93.43,907 5,789 9,518

.. ..12.5 147.2 111.2

7.7 36.2 72.3












Country data


2000 2009 2009

Tunisia

9.6 10.4 3,8113.2 3.8 1,787

15.7 14.2 5.32,090 3,720 2,321

5.5 4.9 8.512.3 7.8 13.328.6 30.0 38.918.2 16.5 25.859.1 62.3 47.73.0 3.81.4 1.4

44.5 52.0 28.948.2 55.3 28.3

.. 55

.. 11 35

.. 10 8

.. 17.0 57.7

.. 1.3 3.3

.. 62.8 40.2

.. 15.0 16.3

.. 9.1

.. 1.2

.. ..

.. ..

.. ..

.. ..

.. ..

261 287 41,4773.9 4.0 2.0

26.0 25.9 34.913.7 23.2 19.9

-2.7 -1.7 -2.362.6 47.1 ..64.8 70.6 107.648.1 58.6 54.9

7.5 .. 10.021.6 13.2 5.166.3 68.4 92.9

.. ..

.. .. 7.3

68.4 75.2 36.3991 1,298 1,318

.. ..1.2 93.5 57.82.7 33.5 17.2











Country data


2000 2009 2009


Turkey

66.5 74.8 1,00223.1 25.6 4586.5 14.0 9.1

3,990 8,720 7,5023.5 4.9 4.4

11.3 9.3 6.231.5 25.8 31.522.5 17.1 16.757.2 64.9 62.454.9 6.3

0.6 1.520.1 23.2 25.423.1 24.4 24.2

.. 65

.. 6 43

.. 6 8

.. 95.0 40.1

.. 3.3 2.9

.. 44.5 43.0

.. 17.0 18.0

.. 44.5

.. 0.9

3.5 27.149.4 4.013.3 51.9

2.7 7.48.7 30.0

8,215 8,223 64,8990.4 1.4 2.4

20.4 16.9 20.715.7 13.2 15.6

.. -5.5 -0.6

.. 51.4 ..39.9 64.3 60.632.7 51.0 47.46.1 13.3 9.79.2 5.6 4.2

17.8 36.5 47.8.. .... .. 5.5

34.0 .. 36.81,573 2,308 3,001

.. 4.124.3 83.9 100.63.8 35.3 34.6












Country data


2000 2009 2009

Turkmenistan

4.5 5.1 3,8111.8 2.4 1,787

.. .. 5.3650 3,420 2,3213.9 13.9 8.5

24.4 12.3 13.344.4 53.5 38.910.6 46.6 25.831.2 34.2 47.7

.. ..5,200.0 ..

95.5 75.6 28.980.9 45.8 28.3

.. ..

.. .. 35

.. .. 8

.. .. 57.7

.. .. 3.3

.. .. 40.2

.. .. 16.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

20 52 41,4774.5 6.8 2.0

34.7 11.4 34.9.. 10.4 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.9

.. .. 10.0

.. .. 5.12.0 .. 92.9

.. ..

.. .. 7.3

81.2 .. 36.31,698 2,273 1,318

.. ..0.2 29.4 57.80.1 1.6 17.2











0.02 0.03 1,117.. .. 547

9.7 5.4 8.1.. .. 37,990.. .. 2.0.. .. 1.5.. .. 25.0.. .. 15.9.. .. 73.5.. .... .... .. 23.6.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..

.. .. 111.2

.. .. 72.3

Country data

High-income group

2000 2009 2009

High income

Turks and Caicos Islands











.. 0.01 3,811

.. .. 1,7876.5 16.3 5.3

.. .. 2,321

.. .. 8.5

.. .. 13.3

.. .. 38.9

.. .. 25.8

.. .. 47.7

.. ..

.. ..

.. .. 28.9

.. .. 28.3

.. ..

.. .. 35

.. .. 8

.. .. 57.7

.. .. 3.3

.. .. 40.2

.. .. 16.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. 41,477

.. .. 2.0

.. .. 34.9

.. .. 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.9

.. .. 10.0

.. .. 5.1

.. .. 92.9

.. ..

.. .. 7.3

.. .. 36.3

.. .. 1,318

.. ..

.. 12.5 57.8

.. 23.9 17.2


Country data


2000 2009 2009

Tuvalu











Country data

Low-income group

2000 2009 2009


Uganda

24.4 32.7 84610.5 14.1 384

.. 3.2 ..270 460 5097.4 7.8 5.4

29.4 24.7 26.122.9 25.8 24.4

7.6 8.0 12.447.7 49.5 49.53.4 13.4

1,644.5 2,030.310.7 23.4 23.222.1 34.6 35.9

.. 122

.. 25 41

.. 18 8

.. 13.0 71.0

.. 2.2 3.7

.. 35.7 76.5

.. 23.3 24.8

.. 11.2

.. 0.7

.. 5.2

.. 14.5

.. 7.7

.. 33.0

.. 15.5

57 310 4,7792.6 3.8 2.7

19.2 23.5 22.913.2 17.5 15.8

-1.9 -0.9 -1.442.9 32.7 ..11.1 16.8 31.812.1 16.0 30.69.8 13.4 ..9.8 4.2 ..6.2 13.1 26.3

10.6 3.813.1 11.2 11.5

.. 23.0 12.0

.. .. 231

.. 11.00.5 28.7 26.60.2 9.8 2.7












Country data


2000 2009 2009

Ukraine

49.2 46.0 3,81123.4 23.0 1,78711.6 8.8 5.3700 2,800 2,321-1.9 5.6 8.517.1 8.2 13.336.3 29.4 38.919.2 18.2 25.846.6 62.4 47.728.2 15.9

5.4 7.862.4 46.3 28.957.4 48.0 28.3

.. 145

.. 27 35

.. 10 8

.. 13.0 57.7

.. 2.9 3.3

.. 55.5 40.2

.. 10.4 16.3

.. 19.3

.. 0.6

10.2 11.358.9 28.3

8.1 32.126.2 47.914.5 13.0

206 1,118 41,4771.9 4.2 2.0

19.7 18.0 34.917.3 16.8 19.9

-0.6 -5.6 -2.345.3 .. ..12.7 82.3 107.611.0 35.7 54.916.2 13.1 10.029.6 40.2 5.111.2 73.3 92.915.0 6.627.8 7.1 7.3

96.7 97.8 36.32,778 3,534 1,318

.. 2.11.7 120.3 57.80.7 33.3 17.2











Country data

High-income group

2000 2009 2009

High income

United Arab Emirates

3.2 4.6 1,1171.9 2.9 5472.3 4.0 8.1

19,330 26,370 37,9905.1 7.0 2.03.5 1.8 1.5

55.7 60.6 25.013.5 12.4 15.940.8 37.6 73.5

.. ..3.7 3.7

73.3 87.1 23.655.3 63.8 23.9

.. 40

.. 15 18

.. 8 6

.. 84.0 37.9

.. 5.1 2.1

.. 14.1 38.6

.. 0.0 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.022.1 19.5 18.09.5 10.3 ..

0.1 .. -7.7.. .. 55.7

51.1 82.2 140.045.1 74.0 108.512.9 16.0 6.812.7 4.8 3.446.2 93.0 165.1-9.9 ..3.5 .. 3.8

100.0 .. 93.411,919 16,891 9,518

.. ..44.1 232.1 111.223.6 82.2 72.3











High income

Country data

High-income group

2000 2009 2009

United Kingdom

58.9 61.8 1,11729.3 31.8 547

5.5 7.7 8.125,910 41,370 37,990

3.4 2.0 2.01.0 0.7 1.5

27.3 21.0 25.017.4 11.1 15.971.7 78.2 73.52.9 -0.60.7 0.6

27.6 27.7 23.629.5 30.0 23.9

.. 4

.. 13 18

.. 6 6

.. 22.0 37.9

.. 1.0 2.1

.. 37.3 38.6

.. 23.1 14.3

.. 330.1

.. 8.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..8.3 3.4 2.0

17.1 14.6 18.0.. .. ..

1.6 -10.9 -7.747.5 73.2 55.7

128.4 213.1 140.0.. .. 108.5

6.5 5.4 6.82.5 3.5 3.4

129.3 213.5 165.14.7 -0.72.7 .. 3.8

100.0 100.0 93.46,115 6,061 9,518

.. ..73.8 130.0 111.226.8 83.2 72.3











Country data

High-income group

2000 2009 2009

High income

United States

282.2 307.0 1,117147.9 159.0 547

4.0 9.3 8.134,890 46,360 37,990

4.4 2.0 2.01.2 1.2 1.5

23.4 21.3 25.016.7 13.4 15.975.4 77.5 73.5

3.4 -0.41.0 1.0

11.0 11.2 23.614.9 13.9 23.9

.. 5

.. 6 18

.. 6 6

.. .. 37.9

.. 1.5 2.1

.. 46.8 38.6

.. 27.6 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..3.2 1.0 2.0

20.0 15.1 18.0.. .. ..

0.5 -10.4 -7.732.4 67.1 55.757.0 96.5 140.065.1 81.2 108.58.5 11.0 6.81.1 5.4 3.4

168.4 202.9 165.16.9 2.3

.. .. 3.8

.. 67.4 93.413,671 13,654 9,518

.. ..38.8 97.2 111.243.9 78.1 72.3












Country data


2000 2009 2009

Uruguay

3.3 3.3 1,0021.5 1.7 458

13.6 7.3 9.17,100 9,010 7,502

3.1 3.4 4.47.0 9.8 6.2

24.5 25.8 31.514.1 15.8 16.768.5 64.4 62.4

4.8 7.112.1 22.616.7 26.5 25.420.0 25.5 24.2

.. 124

.. 65 43

.. 11 8

.. 31.0 40.1

.. 2.1 2.9

.. 42.0 43.0

.. 23.6 18.0

.. 4.7

.. 2.1

.. 7.0

.. 0.6

.. 6.9

.. 38.6

.. 6.8

681 45 64,8991.2 4.0 2.4

14.3 19.1 20.710.7 13.6 15.6

-3.0 -1.5 -0.640.6 49.5 ..55.6 24.1 60.646.1 35.6 47.4

7.2 8.9 9.712.4 1.0 4.245.1 20.6 47.841.1 8.927.8 10.9 5.5

.. .. 36.81,990 2,393 3,001

.. 0.312.4 113.7 100.610.6 55.5 34.6











Country data


2000 2009 2009


Uzbekistan

24.7 27.8 3,8119.1 12.7 1,787

.. .. 5.3630 1,100 2,3214.1 6.9 8.5

34.4 19.5 13.323.1 33.2 38.9

9.4 13.3 25.842.5 47.3 47.7

.. ..236.6 ..

24.6 36.4 28.921.5 36.4 28.3

.. 150

.. 15 35

.. 7 8

.. 22.0 57.7

.. 4.0 3.3

.. 95.6 40.2

.. 1.6 16.3

.. 14.4

.. 0.8

5.3 11.152.7 52.41.3 8.27.6 28.0

14.8 1.3

26 167 41,4770.5 2.3 2.0

24.0 26.1 34.915.5 23.0 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.9

.. .. 10.0

.. .. 5.1

.. .. 92.9

.. ..

.. .. 7.3

87.3 .. 36.31,780 1,646 1,318

.. 6.10.2 59.1 57.80.5 16.9 17.2












Country data


2000 2009 2009

Vanuatu

0.19 0.24 3,8110.09 0.12 1,787

.. .. 5.31,440 2,620 2,321

3.5 4.0 8.525.3 21.6 13.312.3 10.1 38.9

5.0 4.4 25.862.4 68.3 47.7

2.5 4.3137.6 106.738.0 42.6 28.946.5 55.4 28.3

.. 60

.. 39 35

.. 8 8

.. 56.0 57.7

.. 2.6 3.3

.. 8.4 40.2

.. 0.0 16.3

.. 0.3

.. 2.2

.. 7.9

.. 4.6

.. 41.4

.. 15.3

.. 27.0

6 35 41,4777.2 5.3 2.0

18.6 22.6 34.9.. .. 19.9

-0.7 .. -2.326.4 .. ..38.8 52.4 107.694.3 109.9 54.9

.. .. 10.0

.. .. 5.130.6 60.4 92.9

7.5 1.38.6 4.3 7.3

23.9 .. 36.3.. .. 1,318.. 2.3

0.2 52.7 57.82.1 7.1 17.2












Country data


2000 2009 2009

Venezuela, RB

24.3 28.4 1,00210.1 13.1 45813.2 7.6 9.1

4,100 10,090 7,5020.6 4.9 4.44.2 4.0 6.2

49.7 57.8 31.519.8 16.4 16.746.1 38.2 62.416.2 28.6

0.7 2.129.7 18.3 25.418.1 20.5 24.2

.. 172

.. 141 43

.. 17 8

.. ..a 40.1

.. 4.0 2.9

.. 52.6 43.0

.. 10.0 18.0

.. ..

.. ..

.. 33.6

.. 2.6

.. 35.7

.. 25.4

.. 12.5

774 546 64,8994.0 -1.0 2.4

21.0 22.1 20.7.. 9.6 15.6

-1.2 2.2 -0.6.. .. ..

13.8 28.2 60.616.6 30.9 47.413.0 9.4 9.7

6.6 3.0 4.212.5 21.7 47.8-3.3 10.68.9 3.5 5.5

33.6 .. 36.82,655 3,074 3,001

.. 2.422.4 99.1 100.6

3.4 31.2 34.6












VietnamCountry data


2000 2009 2009

77.6 87.3 3,81137.9 46.6 1,7872.3 2.4 5.3

390 1,000 2,3216.7 7.6 8.5

24.5 20.9 13.336.7 40.2 38.918.6 20.1 25.838.7 38.8 47.7-1.7 7.1

14,167.8 17,065.155.0 68.3 28.957.5 78.7 28.3

.. 78

.. 44 35

.. 9 8

.. 87.0 57.7

.. 5.0 3.3

.. 33.1 40.2

.. 12.5 16.3

.. ..

.. ..

.. 4.9

.. 33.7

.. 21.5

.. 29.6

.. 16.7

150 477 41,4774.2 7.8 2.0

27.6 34.5 34.9.. .. 19.9

.. .. -2.3

.. .. ..37.1 122.2 107.68.8 16.4 54.9

.. .. 10.0

.. .. 5.135.3 112.7 92.9

6.9 3.86.9 3.1 7.3

25.1 47.6 36.3295 799 1,318

.. 2.01.0 101.5 57.80.3 27.5 17.2











Country data

High-income group

2000 2009 2009

High income

Virgin Islands (U.S.)

0.11 0.11 1,1170.05 0.05 547

.. .. 8.1

.. .. 37,990

.. .. 2.0

.. .. 1.5

.. .. 25.0

.. .. 15.9

.. .. 73.5

.. ..1.0 1.0

.. .. 23.6

.. .. 23.9

.. ..

.. .. 18

.. .. 6

.. .. 37.9

.. .. 2.1

.. .. 38.6

.. .. 14.3

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. .. ..

.. .. 2.0

.. .. 18.0

.. .. ..

.. .. -7.7

.. .. 55.7

.. .. 140.0

.. .. 108.5

.. .. 6.8

.. .. 3.4

.. .. 165.1

.. ..

.. .. 3.8

.. .. 93.4

.. .. 9,518

.. ..32.2 73.3 111.213.8 27.3 72.3












Country data


2000 2009 2009

West Bank and Gaza

3.0 4.0 3,8110.63 0.95 1,78714.1 24.5 5.3

1,560 1,250 2,3217.4 -0.9 8.5

.. .. 13.3

.. .. 38.9

.. .. 25.8

.. .. 47.7

.. ..

.. ..16.0 14.0 28.971.2 68.2 28.3

.. 135

.. 49 35

.. 11 8

.. 91.0 57.7

.. .. 3.3

.. 16.8 40.2

.. 16.2 16.3

.. ..

.. ..

.. 5.7

.. 2.7

.. 4.2

.. 37.1

.. 18.2

237 47 41,4771.5 1.2 2.0

32.7 25.7 34.9.. .. 19.9

.. .. -2.3

.. .. ..

.. .. 107.6

.. .. 54.9

.. .. 10.0

.. .. 5.1

.. .. 92.9

.. ..

.. .. 7.3

100.0 100.0 36.3.. .. 1,318.. 3.3

5.9 30.3 57.81.2 8.8 17.2











Country data


2000 2009 2009


Yemen, Rep.

18.2 23.6 3,8114.3 6.2 1,787

11.5 15.0 5.3400 1,060 2,3215.6 3.9 8.5

10.3 14.3 13.346.5 40.3 38.9

5.2 4.7 25.843.2 45.4 47.7

4.6 3.7161.7 202.842.3 38.0 28.936.6 41.4 28.3

.. 105

.. 12 35

.. 6 8

.. 17.0 57.7

.. 3.0 3.3

.. 47.8 40.2

.. 35.1 16.3

.. ..

.. ..

.. 11.8

.. 66.7

.. 4.2

.. 68.2

.. 4.4

20 50 41,4770.1 0.5 2.0

18.6 23.1 34.913.2 13.4 19.9

-2.3 .. -2.3.. .. ..

7.9 15.5 107.613.9 21.1 54.9

.. .. 10.0

.. .. 5.15.0 7.4 92.9

-4.9 23.15.5 7.3 7.3

.. 8.7 36.3136 220 1,318

.. 54.40.2 16.3 57.80.1 1.8 17.2











ZambiaSub-Saharan Africa Low income

Country data

Low-income group

2000 2009 2009

10.5 12.9 8464.0 4.8 384

12.9 .. ..300 960 5092.2 5.4 5.4

22.3 21.6 26.125.3 34.1 24.411.4 9.6 12.452.4 44.3 49.526.0 13.4

3,110.8 5,046.127.1 35.6 23.241.5 32.2 35.9

.. 76

.. 18 41

.. 6 8

.. 178.0 71.0

.. 2.7 3.7

.. 16.1 76.5

.. 1.7 24.8

.. 5.5

.. 0.9

13.0 4.6.. 4.9

25.4 10.2142.4 97.0

5.8 17.2

27 114 4,7793.8 5.5 2.7

16.0 22.1 22.96.0 17.8 15.8

1.8 -0.8 -1.4176.2 .. ..14.5 16.8 31.821.0 19.0 30.6

.. .. ..23.6 .. ..

8.6 12.0 26.36.7 8.3

18.6 15.0 11.5

22.0 .. 12.0595 602 231

.. 3.60.9 34.1 26.60.2 6.3 2.7











Country data

Low-income group

2000 2009 2009


Zimbabwe

12.5 12.5 8465.1 5.0 3846.0 4.2 ..

480 360 5091.5 -7.5 5.4

18.5 17.9 26.125.0 29.0 24.415.8 17.0 12.456.5 53.0 49.555.9 24,411.0

0.0 ..38.6 36.3 23.236.4 65.4 35.9

.. 157

.. 90 41

.. 9 8

.. 446.0 71.0

.. 3.3 3.7

.. 40.3 76.5

.. 24.0 24.8

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

8 200 4,7790.4 1.1 2.7

11.8 2.5 22.911.1 1.7 15.8

-5.2 .. -1.457.4 .. ..30.7 28.4 31.834.3 42.1 30.6

9.4 .. ..19.6 .. ..27.5 46.5 26.367.8 578.218.0 457.5 11.5

19.0 .. 12.0856 1,022 231

.. ..2.1 23.9 26.60.4 11.4 2.7


Agriculture value added is the net output of agriculture (International

Standard Industrial Classification divisions 1–5, including forestry and fish-

ing) after totaling outputs and subtracting intermediate inputs. (World Bank

and Organisation for Economic Co-operation and Development)

Bank capital to asset ratio is the ratio of bank capital and reserves to total

assets. Capital and reserves include funds contributed by owners, retained

earnings, general and special reserves, provisions, and valuation adjust-

ments. Capital includes tier 1 capital (paid-up shares and common stock),

which is a common feature in all countries’ banking systems, and total

regulatory capital, which includes several specified types of subordinated

debt instruments that need not be repaid if the funds are required to maintain

minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets

include all nonfinancial and financial assets. (International Monetary Fund)

Bank nonperforming loans to total gross loans ratio is the value of non-

performing loans divided by the total value of the loan portfolio (including

nonperforming loans before the deduction of specific loan loss provisions).

The loan amount recorded as nonperforming should be the gross value of the

loan as recorded on the balance sheet, not just the amount that is overdue.

(International Monetary Fund)

Closing a business is the number of years from the time of filing for insolvency

in court until resolution of distressed assets. Data listed for 2009 are for

June 2010. (World Bank)

Delay in obtaining an electrical connection is the average wait, in days, to

obtain an electrical connection from the day an establishment applies for it

to the day it receives the service. (World Bank)

Deposit money banks’ assets are claims on the domestic real nonfinancial

sector by deposit money banks. (International Monetary Fund)

Domestic credit to the private sector is financial resources provided to the

private sector—such as through loans, purchases of nonequity securities,

and trade credits and other accounts receivable—that establish a claim

for repayment. For some countries these claims include credit to public

enterprises. (International Monetary Fund, World Bank, and Organisation

for Economic Co-operation and Development)

Ease of doing business index ranks economies from 1 to 183, with 1 being

the best. A high ranking means that a country’s regulatory environment is

conducive to business operation. The index ranks the simple average of a

country’s percentile rankings on 10 topics covered in Doing Business 2011.

Glossary


The ranking on each topic is the simple average of the percentile rankings on

its component indicators. Data listed for 2009 are for June 2010. (World Bank)

Electric power consumption 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. (International Energy Agency)

Exchange rate is the exchange rate determined by national authorities or the

rate determined in the legally sanctioned exchange market. It is calculated

in local currency units relative to the U.S. dollar as an annual average based

on monthly averages. (International Monetary Fund)

Exports of goods and services are the value of all goods and other market

services provided to the rest of the world. They include the value of mer-

chandise, freight, insurance, transport, travel, royalties, license fees, and

other services, such as communication, construction, financial, information,

business, personal, and government services. They exclude compensation of

employees and investment income (formerly called factor services) as well as

transfer payments. (World Bank and Organisation for Economic Co-operation

and Development)

Firing cost is the cost of advance notice requirements, severance payments,

and penalties due when terminating a redundant worker, expressed in weekly

wages. One month is recorded as 4 1/3 weeks. Data listed for 2009 are

for June 2010. (World Bank)

Firms expected to give gifts in meetings with tax officials are the percentage

of firms that report that a gift or informal payment is expected or requested

during a meeting with tax officials. (World Bank)

Firms using banks to finance investments are the percentage of firms using

banks to finance purchases of fixed assets. (World Bank)

GDP growth is the annual percentage growth rate of gross domestic product

(GDP) at market prices based on constant local currency. Aggregates are

based on constant 2000 U.S. dollars. GDP is the sum of gross value added

by all resident producers in the economy plus any product taxes and minus

any subsidies not included in the value of the products. It is calculated

without deducting for depreciation of fabricated assets or for depletion and

degradation of natural resources. (World Bank and Organisation for Economic

Co-operation and Development)

GNI per capita, World Bank Atlas method, is gross national income (GNI)

converted to U.S. dollars using the World Bank Atlas method, divided by the

midyear population. GNI is the sum of value added by all resident producers

Glossary


plus any product taxes minus any subsidies not included in the valuation

of output plus net receipts of primary income (compensation of employees

and property income) from abroad. GNI, calculated in national currency, is

usually converted to U.S. dollars at official exchange rates for comparisons

across economies. To smooth fluctuations in prices and exchange rates,

the World Bank Atlas method is used; it averages the exchange rate for a

given year and the two preceding years, adjusted for differences in rates of

inflation between the country and the Euro area, Japan, the United Kingdom,

and the United States. (World Bank)

Government cash surplus or deficit is revenue (including grants) minus

expense and net acquisition of nonfinancial assets. (International Monetary

Fund, World Bank, and Organisation for Economic Co-operation and

Development)

Government debt is the entire stock of direct government fixed-term con-

tractual obligations to others outstanding on a particular date. It includes

domestic and foreign liabilities such as loans, currency and money deposits,

and securities other than shares. It is the gross amount of government

liabilities reduced by the amount of equity and financial derivatives held by

the government. Because debt is a stock rather than a flow, it is measured

as of a given date, usually the last day of the fiscal year. (International

Monetary Fund, World Bank, and Organisation for Economic Co-operation

and Development)

Gross fixed capital formation includes land improvements (fences, ditches,

drains, and so on); plant, machinery, and equipment purchases; and the

construction of roads, railways, and the like, including schools, offices,

hospitals, private residential dwellings, and commercial and industrial build-

ings. According to the 1993 System of National Accounts, net acquisition of

valuables is also considered capital formation. (World Bank and Organisation


Gross fixed private capital formation is gross outlays by the private sector

(including private nonprofit organizations) on additions to its fixed domes-

tic assets. (World Bank and Organisation for Economic Co-operation and

Development)

Imports of goods and services are the value of all goods and other market

services received from the rest of the world. They include the value of mer-

chandise, freight, insurance, transport, travel, royalties, license fees, and

other services, such as communication, construction, financial, information,

business, personal, and government services. They exclude compensation of

employees and investment income (formerly called factor services) as well as


transfer payments. (World Bank and Organisation for Economic Co-operation

and Development)

Industry value added is the net output of industry (International Standard

Industrial Classification divisions 10–45, including mining, manufacturing,

construction, electricity, water, and gas) after totaling outputs and sub-

tracting intermediate inputs. (World Bank and Organisation for Economic


Inflation is the annual percentage change in the cost to the average consumer

of acquiring a basket of goods and services that may be fixed or changed at

specified intervals, such as yearly. The Laspeyres formula is generally used.

(International Monetary Fund)

Interest rate spread is the interest rate charged by banks on loans to prime

customers minus the interest rate paid by commercial or similar banks for

demand, time, or savings deposits. (International Monetary Fund)

Internet users are people with access to the worldwide network. (International

Telecommunication Union)

Investment in infrastructure with private participation is the value of infra-

structure projects in telecommunications, energy (electricity and natural gas

transmission and distribution), transport, and water and sanitation that have

reached financial closure and directly or indirectly serve the public, includ-

ing operation and management contracts with major capital expenditure,

greenfield projects (in which a private entity or public-private joint venture

builds and operates a new facility), and divestitures. Incinerators, movable

assets, standalone solid waste projects, and small projects such as windmills

are excluded. (World Bank)

ISO certification ownership is the percentage of firms that have earned

a quality certification recognized by the International Organization for

Standardization (ISO). (World Bank)

Labor force is all people who supply labor for the production of goods and

services during a specified period, according to the International Labour

Organization definition of the economically active population. It includes

both the employed and the unemployed. While national practices vary in

the treatment of such groups as the armed forces and seasonal or part-

time workers, in general the labor force includes the armed forces, the

unemployed, and first-time job-seekers and excludes homemakers and other

unpaid caregivers and workers in the informal sector. (International Labour

Organization and World Bank)

Glossary


Manufacturing value added is the net output of industries belonging to

International Standard Industrial Classification divisions 15–37 after totaling

outputs and subtracting intermediate inputs. (World Bank and Organisation


Mobile cellular subscriptions are the number of subscriptions—including

postpaid and prepaid subscriptions—to a public mobile telephone service

using cellular technology that provides access to the public switched telephone

network. It is calculated per 100 people. (International Telecommunication

Union)

New business density is the number of newly registered limited liability

corporations per 1,000 people ages 15-64. (World Bank)

Paved roads are roads surfaced with concrete, cobblestones, or crushed

stone (macadam) and hydrocarbon binder or bituminized agents. (International

Road Federation)

Population is based on the de facto definition of population, which counts

all residents regardless of legal status or citizenship—except for refugees

not permanently settled in the country of asylum, who are generally con-

sidered part of the population of their country of origin. Data are midyear

estimates. (World Bank)

Power outages in a typical month are the average number of power outages

that establishments experience in a typical month. (World Bank)

Private foreign direct investment, net, is net inflows of private investment to

acquire a lasting management interest (10 percent or more of voting stock)

in an enterprise operating in an economy other than that of the investor. It is

the sum of equity capital, reinvestment of earnings, other long-term capital,

and short-term capital, as shown in the balance of payments. (International

Monetary Fund, World Bank, and Organisation for Economic Co-operation

and Development)

Procedures to start a business are the number of procedures required to

start a business, including interactions to obtain necessary permits and

licenses and to complete all inscriptions, verifications, and notifications to

start operations. Data are for businesses with specific characteristics of

ownership, size, and type of production. Data listed for 2009 are for June

2010. (World Bank)

Profit tax is the amount of taxes on profits paid by the business. For further

details on the method, see the World Bank’s Doing Business 2011. Data

listed for 2009 are for June 2010. (World Bank)


Real interest rate is the lending interest rate adjusted for inflation as mea-

sured by the GDP deflator. (International Monetary Fund and World Bank)

Services value added is the net output of services (International Standard

Industrial Classification divisions 50–99) after totaling outputs and sub-

tracting intermediate inputs. (World Bank and Organisation for Economic


Time dealing with government officials is the percentage of management time

in a given week spent on requirements imposed by government regulations

(taxes, customs, labor regulations, licensing, and registration). (World Bank)

Time to start a business is the number of calendar days needed to complete

the required procedures for legally operating a business. If a procedure can

be expedited at additional cost, the fastest procedure, independent of cost,

is chosen. Data listed for 2009 are for June 2010. (World Bank)

Total financial system deposits are the demand, time, and saving depos-

its in deposit money banks and other financial institutions. (International

Monetary Fund)

Total tax rate is the total amount of taxes payable by a business (except for

labor taxes) after accounting for deductions and exemptions as a percentage

of profit. For further details on the method used for assessing the total tax

payable, see the World Bank’s Doing Business 2011. Data listed for 2009

are for June 2010. (World Bank)

Unemployment rate is the share of the labor force without work but available

for and seeking employment. Definitions of labor force and unemployment

differ by country. (International Labour Organization)

Glossary

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

ISBN 978-0-8213-8861-7SKU 18861

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Telephone: 202 473 1000

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Web site: data.worldbank.org

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