the little data book on private sector development 2016...is based on world development indicators...

2016 THE LITTLE DATA BOOKON PRIVATE SECTORDEVELOPMENT

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iiiThe Little Data Book on Private Sector Development 2016

Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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

North America . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

South Asia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

Sub-Saharan Africa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Income group tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

Low income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

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

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

High income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Country tables (in alphabetical order) . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Note . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230

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

Contents

iv 2016 The Little Data Book on Private Sector Development

The Little Data Book on Private Sector Development 2016 is based on World

Development Indicators 2016 and its accompanying online tables, with a focus

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

Development 2016 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 Trade and Competitiveness Global Practice . The

Development Data Group team included Buyant Erdene Khaltarkhuu, Ana

Florina Pirlea, William Prince, and Jomo Tariku . The Trade and Competitiveness

team included Ramin Aliyev, Prasanna Lal Das, Jenny Datoo, Nathalie David,

and Patricia Ellen Steele . The work was carried out under the management

of Haishan Fu, director of the Development Data Group, and Klaus Tilmes,

director of the Trade and Competitiveness Global Practice . Azita Amjadi

coordinated all stages of production . Barton Matheson Willse & Worthington

typeset the book . Jewel McFadden, Nora Ridolfi, and Janice Tuten from the

World Bank’s Publishing and Knowledge Division oversaw publication and

dissemination of the book .

Acknowledgments

vThe Little Data Book on Private Sector Development 2016

PrefaceReliable cross-country data on aspects of private sector development are

crucial in planning for economic recovery and growth . In targeting increased

exports and investment, many governments prioritize an improved climate for

business as a basis to attract capital, create jobs, and provide basic services .

The availability of cross-country data on the business environment has rapidly

expanded in recent years, including data from the World Bank Group’s Doing

Business project, Enterprise Surveys, and the Entrepreneurship Snapshots .

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

regulations that enhance—and constrain—business activity, and they provide

information on how business owners assess their business environments .

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

the reform process in many developing countries . Please visit the Business

Environment Snapshots (http://rru .worldbank .org/besnapshots/) for more

information .

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

business environment, private sector investment, finance and banking, and

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

the included indicators 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 .

The Trade and Competitiveness practice plans to release a new website

featuring these and other indicators in the fall of 2016 . Details will be made

available at the World Bank Trade (http://www .worldbank .org/en/topic/trade)

and World Bank Competitiveness websites .

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

them more useful .

http://rru.worldbank.org/besnapshots/

http://www.worldbank.org/en/topic/trade

vi 2016 The Little Data Book on Private Sector Development

Data notesThe data in this book are for 2005 and 2014 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 .

• 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 .

Lettered notes on some country tables can be found in the notes on page 230 .

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

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

(used interchangeably with economy) does not imply political independence

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

the authorities report separate social or economic statistics .

The cutoff date for data is April 14, 2016 .

1The Little Data Book on Private Sector Development 2016

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

East Asia and PacificAmerican Samoa; Australia, Brunei Darussalam; Cambodia; China; Fiji; French Polynesia; Guam; Hong Kong SAR, China; Indonesia; Japan; Kiribati; Democratic People’s Republic of Korea; Republic of Korea; Lao People’s Democratic Republic; Macao SAR China; Malaysia; Marshall Islands; Federated States of Micronesia; Mongolia; Myanmar; New Caledonia; New Zealand; Northern Mariana Islands; Palau; Papua New Guinea; the Philippines; Samoa; Singapore; Solomon Islands; Thailand; Timor-Leste; Tonga; Tuvalu; Vanuatu; Vietnam

Europe and Central AsiaAlbania, Andorra, Armenia, Austria, Azerbaijan, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Channel Islands, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Faroe Islands, Finland, France, Georgia, Germany, Greece, Greenland, Hungary, Iceland, Ireland, Isle of Man, Italy, Kazakhstan, Kosovo, Kyrgyz Republic, Latvia, Liechtenstein, Lithuania, Luxembourg, former Yugoslav Republic of Macedonia, Moldova, Monaco, Montenegro, Netherlands, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Tajikistan, Turkey, Turkmenistan, Ukraine, United Kingdom, Uzbekistan

Latin America and the CaribbeanAntigua and Barbuda, Argentina, Aruba, The Bahamas, Barbados, Belize, Bolivia, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Sint Maarten (Dutch part), St . Kitts and Nevis, St . Lucia, St . Martin (French part), St . Vincent and the Grenadines, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, República Bolivariana de Venezuela, Virgin Islands (U .S .)

Middle East and North AfricaAlgeria, Bahrain, Djibouti, Arab Republic of Egypt, Islamic Republic of Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Libya, Malta, Morocco, Oman, Qatar, Saudi Arabia, Syrian Arab Republic, Tunisia, United Arab Emirates, West Bank and Gaza, Republic of Yemen

North AmericaBermuda, Canada, United States

South AsiaAfghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, Sri Lanka

Sub-Saharan AfricaAngola, Benin, Botswana, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Democratic Republic of Congo, Republic of Congo, Côte d’Ivoire, Equatorial Guinea, Eritrea, Ethiopia, Gabon, The Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mozambique, Namibia, Niger, Nigeria, Rwanda, São Tomé and Príncipe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Swaziland, Tanzania, Togo, Uganda, Zambia, Zimbabwe

Regional tables

Economic and social contextPopulation (millions)Labor force (millions)Unemployment rate (% of labor force)GNI per capita, World Bank Atlas method ($)GDP growth, 2000–09 and 2009–14 (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 CPI)High-technology exports (% of manufactured exports)Exports of goods and services (% of GDP)Imports of goods and services (% of GDP)

Business environmentEase of doing business (ranking 1–189; 1=best)Time to start a business (days)Procedures to start a business (number)Time to prepare, file, and pay taxes (hours)Time to export (days)Time to resolve insolvency (years)Profit tax (% of commercial profits)New businesses registered (thousands)New business density (new regis. per 1,000 working-age pop.)Enterprise surveys Time spent dealing w/req. of gov't. reg. (% of sr. mgt. time) Firms expected to give gifts in meetings with tax officials (%) Firms competing against unregistered firms (%) Firms using banks to finance working capital (% of firms) Delay in obtaining an electrical connection (days) Internationally recognized quality certification (% of firms)

Private sector investmentInvest. in infra. w/privt. part., 2005–10 and 2011–15 ($ millions)Private foreign direct investment, net (% of GDP)Gross fixed capital formation (% of GDP)Gross fixed private capital formation (% of GDP)

Finance and bankingGovernment debt (% of GDP)Total financial system deposits (% of GDP)Bank capital to asset ratio (%)Bank nonperforming loans to total gross loans (%)Domestic credit to the private sector (% of GDP)Real interest rate (%)Interest rate spread (percentage points)

Infrastructure Air transport (thousands registered carrier departures worldwide)Port container traffic (thousand TEU)Electric power consumption (kWh per capita)Power outages in firms in a typical month (number)Mobile cellular subscriptions (per 100 people)Individuals using the Internet (%)

2016 The Little Data Book on Private Sector Development2

World

2005 2014

6,514.3 7,259.73,021.1 3,383.6

6.2 5.97,297 10,799

2.9 2.73.3 3.1

28.3 26.417.2 15.868.4 70.5

20.7 18.426.9 29.726.8 29.5

50 2010 7

302 26128 22

.. 2.6

.. 15.9 4.0

.. ..

3.2 2.023.1 21.9

.. ..

.. ..

69.6 58.79.2 10.03.9 4.2

126.6 125.4

6.6 6.1

24,229 31,993

376,268 679,2652,651 3,105

33.9 96.915.8 40.7






The Little Data Book on Private Sector Development 2016 3

East Asia & Pacific

2005 2014

2,130.5 2,264.11,165.1 1,259.5

4.7 4.54,903 9,731

4.2 4.54.6 4.0

33.8 32.023.4 21.761.6 63.9

30.7 27.431.8 31.929.0 31.2

42 23

8 7243 200

23 19.. 2.4.. 17.6 8.3

.. ..

1.9 2.827.4 28.2

.. ..

.. ..

127.9 103.98.3 8.45.6 1.2

146.9 145.0

5.5 4.9

3,880 7,920

193,780 370,3042,241 3,568

34.1 103.414.7 46.9






4 2016 The Little Data Book on Private Sector Development

Europe & Central Asia

2005 2014

872.7 902.0410.5 435.1

8.8 9.019,080 25,424

2.2 1.22.2 2.0

27.3 25.116.9 15.370.4 72.9

17.3 15.535.7 41.734.1 38.8

32 10

9 5336 201

23 18.. 2.0.. 12.2 4.6

.. ..

6.0 1.821.3 19.5

.. ..

.. 63.2.. ..

7.6 10.62.3 7.6

96.0 96.5

5.7 ..

6,314 7,464

75,798 116,4015,377 5,437

81.0 125.935.2 69.2







Latin America & Caribbean

2005 2014

562.8 626.3257.5 306.1

8.0 6.64,550 9,912

3.5 3.55.4 5.1

34.8 30.117.7 14.659.9 64.8

12.2 10.925.8 22.923.7 25.1

74 2910 8

335 35922 17

.. 2.9

.. 20.1 2.0

236,347 270,9092.8 3.5

19.1 20.915.2 16.1

.. ..

30.9 41.910.7 10.0

3.5 2.125.8 50.9

7.6 6.8

1,656 2,63924,816 49,457

1,723 2,118

42.9 114.716.6 50.2







Middle East & North Africa

2005 2014

346.7 417.5113.1 144.1

11.8 11.34,086 8,722

5.4 3.66.0 6.0

52.0 47.611.8 ..42.1 46.0

3.1 ..

49.6 47.235.1 40.2

37 1910 8

226 21725 19

.. 3.0

.. 13.2 4.2

.. ..

3.4 1.521.2 24.6

.. ..

.. ..

46.4 59.57.6 10.47.7 4.6

40.9 47.8

4.5 3.6

591 1,509

36,286 56,1732,149 2,876

28.7 110.2

9.8 38.3







North America

2005 2014

327.9 354.5170.6 180.8

5.4 6.345,128 54,879

2.1 2.21.2 1.4

22.0 20.513.5 12.476.9 78.1

25.7 17.612.0 14.816.8 17.7

4 43 4

119 1537 7.. 1.2.. 3.9 1.3

.. ..

1.2 1.022.7 19.719.3 15.8

56.3 97.216.7 10.3

7.2 8.30.6 1.2

186.7 197.1 .. ..

10,988 10,84442,661 52,06714,031 13,239

66.8 107.368.3 87.3







2005 2014

South Asia

2005 2014

1,511.1 1,721.2611.3 674.4

4.7 3.9701 1,4967.1 6.5

19.2 18.427.8 28.815.8 16.753.1 52.8

5.0 8.1

18.9 21.622.5 25.1

31 16

7 8205 299

36 33.. 2.6.. 13.2 0.2

223,469 113,7691.0 1.5

28.4 26.921.6 23.5

61.2 ..50.2 61.1

6.6 8.29.3 7.8

37.4 46.5

5.9 5.6

420 913

9,933 20,900433 673

7.8 75.42.5 16.6







2005 2014

Sub-Saharan Africa

2005 2014

762.6 974.3293.0 383.8

8.1 8.0795 1,6465.4 4.3

17.3 14.630.8 27.012.8 11.251.8 58.4

7.4 4.0

31.1 28.430.7 32.6

63 2711 8

325 30939 31

.. 3.0

.. 17.8 2.3

58,074 28,0922.8 2.7

16.8 21.313.6 14.7

.. ..

32.8 30.6.. .... ..

60.7 48.7

12.2 8.6

380 705

.. ..527 488

12.0 71.0

2.1 19.2


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, lower middle income, upper middle income, or high income .

Note: Classifications are fixed during the World Bank’s fiscal year (ending on

June 30), thus countries remain in the categories in which they are classified

irrespective of any revisions to their per capita income data .

Low-income economies are those with a GNI per capita of $1,045 or less in

2014 .

Lower middle-income economies are those with a GNI per capita between

$1,046 and $4,125 .

Upper middle-income economies are those with a GNI per capita between

$4,126 and $12,735 .

High-income economies are those with a GNI per capita of $12,736 or more .

Income group tables







2005 2014

Low income

488.2 622.0207.6 271.0

5.6 5.7301 6285.4 6.4

33.1 31.721.2 21.710.8 8.845.7 46.6

3.8 5.3

24.2 24.338.0 42.7

62 2711 8

287 26744 36

.. 3.3

.. 18.3 0.6

14,687 7,5012.5 4.4

18.5 25.112.3 ..

.. ..

24.8 26.7.. .... ..

11.9 20.7

12.2 ..

.. 266.. .... ..

3.9 56.71.0 6.3







Lower middle income

2005 2014

2,504.8 2,878.51,022.9 1,168.8

6.2 5.3844 2,0186.4 5.7

18.0 16.632.4 31.117.4 16.849.6 51.9

12.5 11.528.0 25.730.4 29.5

52 2010 7

396 30733 25

.. 2.9

.. 15.8 1.7

341,103 138,6232.4 2.1

24.7 25.119.4 20.7

.. ..

44.2 48.710.0 10.6

9.6 5.533.1 41.4

8.4 7.2

1,285 2,66628,257 72,101

530 743

12.9 87.63.7 22.6







Upper middle income

2005 2014

2,199.1 2,360.81,146.5 1,254.3

5.8 5.92,715 7,926

6.5 5.78.5 7.3

39.0 35.923.8 21.852.4 56.8

22.5 20.632.7 27.730.2 27.3

58 24

9 7298 309

27 21.. 2.6.. 17.7 2.9

272,521 305,9343.5 2.8

28.2 30.9.. ..

.. ..

42.0 49.29.5 10.05.3 4.0

65.2 106.8

6.7 6.2

3,615 7,774

109,073 268,5301,869 3,214

35.3 101.411.1 47.7







2005 2014

High income

1,322.2 1,398.4644.1 689.5

7.0 7.229,726 38,301

2.1 1.81.6 1.6

26.4 24.516.2 14.972.0 73.9

20.8 18.526.0 30.326.0 29.8

33 158 6

229 17914 13

.. 2.0

.. 13.2 6.4 .. ..

3.2 1.722.2 20.4

.. .. .. 65.7

61.2 ..7.0 8.01.9 3.3

142.4 142.5

4.0 ..

19,241 21,287238,938 336,788

8,522 8,508

81.9 125.751.8 80.6


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 Cyprus .

Georgia

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

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

Morocco

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

South Sudan and Sudan

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

Tanzania

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

For more information, see World Development Indicators 2016 or data .worldbank .org .

Country tables







South Asia Low income

Afghanistan

2005 2014 2014

Low-incomegroupCountry data

24.4 31.6 6226.1 8.3 2718.5 9.1 5.7

250 680 6288.5 6.8 6.4

31.8 23.5 31.727.4 22.3 21.716.9 12.3 8.840.9 54.2 46.612.7 4.6

.. .. 5.327.4 6.6 24.377.5 46.2 42.7

.. 1779 7 274 3 8

275 275 26767 86 36

.. 2.0 3.3

.. 0.0 18.32.5 2.30.2 0.2 0.6

.. 9.8.. 34.0.. 41.5.. 3.9.. 111.3.. 22.1

1,282 106 7,5014.3 0.2 4.4

21.6 18.2 25.1.. .. ..

.. .. ..

9.0 17.7 26.7.. 11.9 .... 7.8 ..

4.8 3.8 20.710.1 14.7

.. .. ..

.. 25 266.. .. .... .. .... 11.5

4.8 74.9 56.71.2 6.4 6.3







Europe & Central Asia Upper middle income

Albania

2005 2014 2014

Uppermiddle-incomegroupCountry data

3.0 2.9 2,3611.3 1.3 1,254

12.5 16.1 5.92,670 4,450 7,926

5.7 2.0 5.721.2 22.6 7.325.2 25.2 35.910.2 5.6 21.853.5 52.2 56.8

2.4 1.64.2 0.1 20.6

22.8 28.2 27.747.5 47.3 27.3

.. 9741 6 2412 6 7

364 357 30921 19 21

.. 2.0 2.6

.. 14.1 17.71.2 2.10.6 1.1 2.9

9.9 6.7

82.0 18.452.6 40.228.4 23.125.5 9.219.8 18.8

1,784 619 305,9343.2 8.7 2.8

37.0 24.8 30.932.3 20.8 ..

.. .. ..

52.1 70.1 49.26.6 9.0 10.02.3 22.8 4.0

15.3 37.6 106.810.2 7.6

8.0 6.7 6.2

4 2 7,774

33 99 268,5301,722 2,531 3,214

33.9 4.147.9 105.5 101.4

6.0 60.1 47.7







Middle East & North Africa Upper middle income

Algeria

2005 2014 2014


33.3 38.9 2,36110.1 12.4 1,25415.3 9.5 5.9

2,710 5,490 7,9264.2 3.2 5.78.0 11.1 7.3

59.7 45.7 35.9.. .. 21.8

32.3 43.3 56.81.4 2.91.5 0.2 20.6

47.2 30.5 27.724.1 32.0 27.3

.. 16324 20 2413 12 7

451 385 30915 17 21

.. 1.3 2.6

.. 6.6 17.710.4 15.6

0.5 0.6 2.9

25.1 ..15.0 ..66.8 ..28.6 ..49.1 ..

5.0 ..

8,872 1,814 305,934

1.1 0.7 2.822.4 36.7 30.9

.. .. ..

47.3 .. ..37.8 49.5 49.2

.. 7.4 10.0

.. 9.2 4.011.9 18.4 106.8–7.0 8.46.1 6.3 6.2

46 60 7,774200 361 268,530887 1,277 3,2143.2 ..

40.2 92.9 101.45.8 18.1 47.7







East Asia & Pacific Upper middle income

American Samoa

2005 2014 2014


0.06 0.06 2,361.. .. 1,254.. .. 5.9.. .. 7,926.. .. 5.7.. .. 7.3.. .. 35.9.. .. 21.8.. .. 56.8.. .... .. 20.6.. .. 27.7.. .. 27.3

.. .... .. 24.. .. 7.. .. 309.. .. 21.. .. 2.6.. .. 17.7.. .... .. 2.9 .. .... .... .... .... .... ..

.. .. 305,934.. .. 2.8.. .. 30.9.. .. ..

.. .. .... .. 49.2.. .. 10.0.. .. 4.0.. .. 106.8.. .... .. 6.2

.. 9 7,774.. .. 268,530.. .. 3,214.. ..

3.8 .. 101.4.. .. 47.7







Europe & Central Asia High income

Andorra

2005 2014 2014

High-incomegroupCountry data

0.08 0.07 1,398.. .. 689.. .. 7.2

40,040 43,270 38,3014.3 –3.1 1.80.4 0.5 1.6

16.2 10.4 24.53.3 3.2 14.9

74.9 79.3 73.9.. ..

26.4 .. 18.5.. .. 30.3.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. ..

79.5 82.6 125.737.6 95.9 80.6







Sub-Saharan Africa Upper middle income

Angola

2005 2014 2014


17.9 24.2 2,3616.5 8.8 1,2546.8 6.8 5.9

640 .. 7,92611.6 4.9 5.7

.. .. 7.3

.. .. 35.9

.. .. 21.8

.. .. 56.823.0 7.3

.. .. 20.685.8 47.7 27.753.8 40.7 27.3

.. 18183 36 2412 8 7

272 282 30964 40 21

.. .. 2.6

.. 21.7 17.7

.. ..

.. .. 2.9

7.1 ..14.8 ..77.7 ..

2.3 ..60.2 ..

5.1 ..

1,845 287 305,934

–3.5 –5.1 2.836.4 15.3 30.9

2.0 2.9 ..

.. .. ..

14.7 38.2 49.29.0 .. 10.0

13.3 .. 4.05.6 22.9 106.8

32.3 18.054.3 12.5 6.2

5 14 7,774.. 1,000 268,530

119 227 3,2146.5 ..9.7 63.5 101.41.1 21.3 47.7







Latin America & Caribbean High income

Antigua and Barbuda

2005 2014 2014


0.08 0.09 1,398.. .. 689.. .. 7.2

11,920 13,300 38,3014.9 0.1 1.82.1 2.4 1.6

17.1 18.0 24.52.1 3.0 14.9

80.8 79.6 73.92.1 1.10.8 0.0 18.5

54.7 45.3 30.368.5 59.4 29.8

.. 10425 21 15

8 8 6184 207 179

13 16 13.. 3.0 2.0.. 25.9 13.2.. 0.2.. 3.5 6.4 .. .... .... .... .... .... ..

6 .. ..

22.2 13.7 1.727.6 25.6 20.424.1 23.9 ..

.. .. 65.7

92.0 93.4 .... .. 8.0.. .. 3.3

61.9 63.3 142.56.4 13.57.5 7.2 ..

27 46 21,28734 32 336,788

.. .. 8,508

.. ..104.2 132.1 125.7

27.0 64.0 80.6








Argentina

2005 2014 2014


39.1 43.0 1,39817.8 19.5 68910.6 8.2 7.2

4,940 13,480 38,3014.9 4.1 1.88.4 8.3 1.6

34.7 28.8 24.521.9 14.5 14.956.9 62.9 73.9

9.6 10.66.8 6.7 18.5

20.9 14.8 30.315.9 14.5 29.8

.. 12130 25 1513 14 6

453 405 17916 12 13

.. 2.8 2.0

.. 0.0 13.214.2 11.7

0.6 0.4 6.4

14.1 ..4.3 ..

56.1 ..28.7 ..46.2 ..26.9 ..

12,922 13,049 ..2.4 1.1 1.7

18.3 17.1 20.4.. .. ..

.. .. 65.7

19.1 19.6 ..12.1 12.5 8.0

7.6 2.0 3.39.6 14.3 142.5

–4.0 –4.12.4 3.6 ..

81 95 21,2871,490 1,776 336,7882,393 3,093 8,508

0.5 ..57.3 158.8 125.717.7 64.7 80.6







Europe & Central Asia Lower middle income

Armenia

2005 2014 2014

Lowermiddle-incomegroupCountry data

3.0 3.0 2,8781.4 1.6 1,169

27.8 17.1 5.31,520 4,020 2,018

10.6 4.5 5.720.9 20.8 16.645.3 28.6 31.114.8 10.8 16.833.8 50.6 51.9

0.6 3.00.6 2.7 11.5

28.8 28.5 25.743.2 46.9 29.5

.. 3518 3 20

9 2 7572 313 307

37 16 25.. 1.9 2.9.. 19.1 15.8

2.3 3.11.1 1.5 1.7

3.1 12.2

70.5 4.6.. 12.8

46.3 39.22.5 4.86.3 23.6

1,946 581 138,6236.0 3.5 2.1

29.8 20.0 25.126.8 18.2 20.7

.. .. ..

9.8 27.3 48.721.5 13.6 10.6

1.9 7.0 5.58.0 48.9 41.4

14.3 13.312.2 6.0 7.2

6 0 2,666.. .. 72,101

1,505 1,870 743.. 0.3

10.5 115.9 87.65.3 46.3 22.6








Aruba

2005 2014 2014


0.10 0.10 1,398.. .. 689.. .. 7.2.. .. 38,301

–0.1 .. 1.80.4 0.5 1.6

20.6 16.3 24.54.0 4.7 14.9

78.9 83.2 73.93.4 0.46.4 5.4 18.5

68.5 70.8 30.377.9 86.4 29.8

.. ..

.. .. 15

.. .. 6

.. .. 179

.. .. 13

.. .. 2.0

.. .. 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

.. .. ..

–8.9 18.9 1.735.0 .. 20.4

.. .. ..

.. .. 65.7

54.3 64.3 .... .. 8.0.. .. 3.3

54.7 57.4 142.57.0 ..7.6 6.1 ..

.. .. 21,287

135 168 336,788.. .. 8,508.. ..

103.4 135.1 125.725.4 83.8 80.6







East Asia & Pacific High income

Australia

2005 2014 2014


20.4 23.5 1,39810.6 12.4 689

5.0 6.0 7.230,310 64,600 38,301

3.3 2.7 1.83.2 2.4 1.6

26.8 27.1 24.511.3 6.9 14.970.0 70.5 73.9

2.7 2.512.8 13.6 18.518.1 20.9 30.320.8 21.4 29.8

.. 133 3 153 3 6

107 105 1799 9 13.. 1.0 2.0.. 26.0 13.2

122.0 231.98.9 14.9 6.4

.. .... .... .... .... .... ..

.. .. ..

–3.6 3.2 1.727.0 27.3 20.4

.. .. ..

22.6 38.3 65.775.5 93.4 ..

6.9 5.9 8.00.6 1.1 3.3

108.8 129.6 142.55.2 4.55.2 3.0 ..

343 645 21,2875,191 7,524 336,788

10,458 10,134 8,508.. ..

89.8 131.2 125.763.0 84.6 80.6








Austria

2005 2014 2014


8.2 8.5 1,3984.1 4.5 6895.2 5.0 7.2

38,500 49,600 38,3011.9 1.2 1.81.4 1.4 1.6

30.4 28.0 24.519.7 18.4 14.968.2 70.6 73.9

2.3 1.613.7 13.9 18.548.6 53.2 30.345.5 49.5 29.8

.. 2125 22 15

8 8 6170 166 179

11 10 13.. 1.1 2.0.. 16.8 13.2

3.6 4.20.6 0.7 6.4

.. .... .... .... .... .... ..

.. .. ..

25.8 1.9 1.723.1 22.4 20.4

.. .. ..

.. 83.4 65.7.. .. ..

5.2 6.8 8.02.6 3.5 3.3

94.7 88.6 142.5.. .... .. ..

142 163 21,287366 452 336,788

7,978 8,513 8,508.. ..

105.2 151.9 125.758.0 81.0 80.6








Azerbaijan

2005 2014 2014


8.4 9.5 2,3614.0 5.0 1,2547.3 5.2 5.9

1,270 7,600 7,92617.9 2.9 5.7

9.9 5.7 7.363.6 58.3 35.9

7.0 5.2 21.826.5 36.0 56.8

9.7 1.41.1 7.0 20.6

62.9 43.3 27.752.9 26.2 27.3

.. 63113 3 24

13 2 7756 195 309

34 27 21.. 1.5 2.6.. 12.9 17.7.. 6.8.. 1.0 2.9

5.2 0.368.4 12.5

.. 19.10.4 17.62.0 4.0

10.3 12.7

1,531 239 305,934

33.8 5.9 2.841.3 25.8 30.937.5 .. ..

.. .. ..

10.0 18.1 49.2.. 17.0 10.0

7.2 12.7 4.09.5 30.7 106.80.8 17.68.5 8.7 6.2

12 18 7,774.. .. 268,530

2,388 2,093 3,214.. 0.6

26.2 110.9 101.48.0 61.0 47.7








Bahamas, The

2005 2014 2014


0.33 0.38 1,3980.18 0.22 68910.2 15.4 7.2

23,510 20,980 38,3011.0 1.1 1.82.2 1.8 1.6

15.4 21.4 24.54.5 4.1 14.9

82.4 76.8 73.91.6 1.50.0 0.0 18.5

45.2 43.9 30.348.0 60.9 29.8

.. 10631 29 15

7 8 658 58 17916 19 13

.. 3.0 2.0

.. 0.0 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

.. .. ..

7.3 3.1 1.724.2 27.7 20.4

.. .. ..

.. .. 65.7

59.5 71.6 .... .. 8.0

4.4 .. 3.364.3 76.0 142.5

0.5 4.82.3 3.3 ..

33 35 21,2871,212 1,399 336,788

.. .. 8,508

.. ..69.2 82.3 125.725.0 76.9 80.6







Middle East & North Africa High income

Bahrain

2005 2014 2014


0.87 1.4 1,3980.42 0.75 689

4.4 3.9 7.216,970 21,060 38,301

6.0 3.9 1.8.. .. 1.6.. .. 24.5.. .. 14.9.. .. 73.9

2.6 2.70.1 1.5 18.5

83.9 71.2 30.364.4 44.1 29.8

.. 659 9 157 7 6

60 60 17914 11 13

.. 2.5 2.0

.. 0.0 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

.. .. ..

6.6 2.8 1.725.7 15.3 20.4

.. .. ..

20.3 35.6 65.754.4 72.8 ..

.. 12.2 8.0

.. 4.6 3.343.7 63.0 142.5–5.2 7.54.7 4.9 ..

32 55 21,287239 374 336,788

21,870 18,217 8,508.. ..

87.2 173.3 125.721.3 91.0 80.6







South Asia Lower middle income

Bangladesh

2005 2014 2014

Lower middle-incomegroupCountry data

142.9 159.1 2,87866.2 79.0 1,169

4.3 4.3 5.3540 1,080 2,0185.7 6.2 5.7

19.6 16.1 16.624.6 27.6 31.115.6 17.4 16.855.8 56.3 51.9

7.0 7.00.3 0.2 11.5

14.4 19.0 25.720.0 25.5 29.5

.. 174

.. 20 20

.. 9 7

.. 302 30739 28 25

.. 4.0 2.9

.. .. 15.85.2 9.20.1 0.1 1.7

3.2 3.3

54.4 41.046.6 39.443.1 29.950.3 84.7

7.8 14.3

5,192 4,637 138,623

1.1 1.4 2.125.8 28.6 25.120.3 22.0 20.7

31.2 .. ..34.5 51.0 48.7

4.7 5.9 10.613.2 9.4 5.529.3 42.4 41.4

9.0 6.95.9 3.9 7.2

7 59 2,666

809 1,655 72,101171 293 743

100.7 64.56.3 80.0 87.60.2 9.6 22.6








Barbados

2005 2014 2014


0.27 0.28 1,3980.15 0.16 689

9.1 12.0 7.213,620 15,310 38,301

1.9 0.3 1.8.. .. 1.6.. .. 24.5.. .. 14.9.. .. 73.9

6.1 1.920.3 16.4 18.543.9 36.5 30.351.8 48.3 29.8

.. 119

.. 18 15

.. 8 6

.. 237 179

.. 9 13

.. 1.8 2.0

.. 19.5 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

.. .. ..

6.1 6.3 1.718.4 12.8 20.4

9.8 9.8 ..

62.5 131.6 65.7

102.6 .. .... .. 8.0.. .. 3.3

71.3 .. 142.52.4 6.76.0 5.9 ..

.. .. 21,287

100 71 336,788.. .. 8,508.. ..

75.4 128.7 125.752.5 76.7 80.6








Belarus

2005 2014 2014


9.7 9.5 2,3614.6 4.5 1,2546.4 5.9 5.9

2,820 7,340 7,9268.2 3.3 5.79.9 8.9 7.3

44.0 42.4 35.929.5 26.3 21.846.1 48.7 56.810.3 18.1

2.7 3.9 20.659.8 57.2 27.759.1 57.9 27.3

.. 4479 3 2416 3 7

987 176 30922 15 21

.. 3.0 2.6

.. 11.7 17.71.7 7.00.2 1.1 2.9

5.1 13.7

26.4 3.4.. 42.8

21.5 31.915.3 21.611.0 13.4

5,330 3,189 305,9341.0 2.4 2.8

26.5 32.1 30.922.6 33.7 ..

6.6 25.2 ..16.0 27.5 49.219.8 13.3 10.0

3.1 4.4 4.015.9 24.5 106.8–6.4 0.62.1 0.2 6.2

5 21 7,774.. .. 268,530

3,246 3,648 3,214.. 0.1

42.4 122.5 101.416.2 59.0 47.7








Belgium

2005 2014 2014


10.5 11.2 1,3984.6 5.0 6898.4 8.5 7.2

37,850 47,240 38,3011.9 1.0 1.80.9 0.7 1.6

25.1 22.1 24.517.6 13.8 14.974.0 77.2 73.9

2.8 0.38.9 12.8 18.5

73.5 84.0 30.369.9 83.1 29.8

.. 4334 4 15

4 3 6156 161 179

9 9 13.. 0.9 2.0.. 8.4 13.2

16.3 14.92.4 2.1 6.4

.. .... .... .... .... .... ..

.. .. ..

8.7 –3.8 1.722.2 23.3 20.4

.. .. ..

.. 101.5 65.7.. .. ..

3.3 6.6 8.02.0 4.4 3.3

63.3 58.2 142.54.5 ..5.2 .. ..

152 135 21,2877,890 11,187 336,7888,510 7,967 8,508

.. ..91.4 114.3 125.755.8 85.0 80.6







Latin America & Caribbean Upper middle income

Belize

2005 2014 2014


0.28 0.35 2,3610.11 0.15 1,25411.0 11.5 5.9

3,680 4,350 7,9264.2 2.8 5.7

15.4 15.3 7.317.3 19.1 35.9

8.9 11.5 21.867.3 65.6 56.8

3.6 1.20.0 0.0 20.6

54.7 60.9 27.762.7 66.3 27.3

.. 12057 43 24

9 9 7147 147 309

20 17 21.. 2.0 2.6.. 24.7 17.7

0.7 0.74.7 3.1 2.9

.. .... .... .... .... .... ..

220 .. 305,93411.4 8.3 2.818.5 16.1 30.914.4 7.9 ..

.. 74.5 ..

52.7 71.6 49.2.. .. 10.0.. .. 4.0

53.1 56.2 106.811.3 9.7

6.5 7.9 6.2

.. 0 7,774

39 42 268,530.. .. 3,214.. ..

35.3 50.7 101.417.0 38.7 47.7







Sub-Saharan Africa Low income

Benin

2005 2014 2014


8.2 10.6 6223.3 4.4 2711.3 1.0 5.7

590 890 6284.0 4.7 6.4

27.5 23.5 31.730.8 23.2 21.721.6 14.4 8.841.7 53.4 46.6

5.4 –1.10.1 4.1 5.3

18.9 36.1 24.326.9 45.1 42.7

.. 15834 12 2710 7 8

270 270 26734 25 36

.. 4.0 3.3

.. 15.9 18.3

.. ..

.. .. 0.6 .. .... .... .... .... .... ..

2,001 202 7,501–0.2 3.9 4.419.7 24.4 25.112.5 16.3 ..

.. .. ..

16.2 29.3 26.7.. .. .... .. ..

14.8 22.9 20.7.. .... .. ..

.. 1 266.. 408 ..

73 .. .... ..

7.3 99.7 56.71.3 5.3 6.3







North America High income

Bermuda

2005 2014 2014


0.06 0.07 1,398.. .. 689.. .. 7.2

117,640 106,140 38,3012.3 –3.4 1.80.8 0.8 1.6

10.4 6.0 24.51.7 1.0 14.9

88.7 93.2 73.9.. .... 27.8 18.5.. 47.7 30.3.. 29.6 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. ..

0.9 1.0 1.7.. 5.7 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. ..

82.2 90.9 125.765.4 96.8 80.6








Bhutan

2005 2014 2014


0.65 0.77 2,8780.31 0.40 1,169

3.1 2.8 5.31,220 2,370 2,018

8.4 6.0 5.723.2 17.7 16.637.3 42.9 31.1

7.4 8.6 16.839.5 39.4 51.9

5.3 8.24.1 0.0 11.5

38.2 36.3 25.762.9 57.3 29.5

.. 7162 15 2010 8 785 85 30738 38 25

.. .. 2.9

.. 33.9 15.80.0 0.00.0 0.1 1.7

.. 28.8.. 0.3.. 7.2.. 42.0.. 21.3.. 3.7

219 .. 138,6230.8 0.4 2.1

49.9 58.5 25.139.8 48.1 20.7

79.5 .. ..51.9 58.0 48.7

.. 16.6 10.6

.. 6.8 5.518.1 43.8 41.4

7.7 6.19.5 10.2 7.2

2 9 2,666.. .. 72,101.. .. 743.. 0.4

5.5 82.1 87.63.8 34.4 22.6







Latin America & Caribbean Lower middle income

Bolivia

2005 2014 2014


9.1 10.6 2,8784.1 5.1 1,1695.4 2.7 5.3

1,030 2,870 2,0184.0 5.4 5.7

14.4 13.0 16.632.0 36.8 31.114.2 13.0 16.853.6 50.2 51.9

5.4 5.88.9 8.1 11.5

35.5 43.3 25.732.1 42.0 29.5

.. 15750 50 2015 15 7

1,080 1,025 30724 22 25

.. 1.8 2.9

.. 0.0 15.81.6 3.70.3 0.6 1.7

13.5 ..19.6 ..90.1 ..39.4 ..15.2 ..13.8 ..

598 211 138,623–2.5 0.2 2.113.0 21.0 25.1

6.1 8.6 20.7

.. .. ..

37.4 54.1 48.711.3 7.9 10.611.3 1.5 5.545.0 50.3 41.410.1 7.511.7 6.7 7.2

26 41 2,666.. .. 72,101

482 705 7430.4 ..

25.9 96.3 87.65.2 39.0 22.6








Bosnia and Herzegovina

2005 2014 2014


3.8 3.8 2,3611.4 1.5 1,254

26.0 27.9 5.93,070 4,840 7,926

5.3 0.8 5.710.1 7.2 7.326.0 26.8 35.912.1 13.3 21.863.9 65.9 56.8

.. ..2.0 2.4 20.6

31.6 33.9 27.771.6 56.9 27.3

.. 7993 67 2413 12 7

368 420 30923 16 21

.. 3.3 2.6

.. 7.2 17.7

.. 2.2

.. 0.8 2.9

4.1 14.567.6 7.4

.. 44.045.4 46.7

6.8 45.116.4 32.2

1,118 829 305,9345.6 2.7 2.8

27.1 18.9 30.910.6 .. ..

.. 46.0 ..

35.4 52.8 49.29.7 14.5 10.05.3 14.0 4.0

42.1 54.8 106.86.6 5.66.0 4.0 6.2

5 0 7,774.. .. 268,530

2,347 3,219 3,214.. 1.0

41.1 91.3 101.421.3 60.8 47.7








Botswana

2005 2014 2014


1.9 2.2 2,3610.91 1.2 1,25422.0 18.2 5.9

4,760 7,240 7,9264.7 6.6 5.72.0 2.4 7.3

47.6 39.2 35.95.5 6.2 21.8

50.3 58.4 56.88.6 4.40.4 0.2 20.6

52.9 49.8 27.735.6 43.3 27.3

.. 72125 48 24

11 9 7140 152 309

33 27 21.. 1.7 2.6.. 21.5 17.7

6.6 16.95.7 13.1 2.9

5.0 ..4.5 ..

49.7 ..15.9 ..25.5 ..12.7 ..

262 186 305,9342.8 2.5 2.8

25.3 29.7 30.917.9 20.2 ..

.. 18.7 ..

27.4 37.8 49.29.8 7.9 10.02.8 4.1 4.0

19.8 31.9 106.80.2 0.96.5 6.5 6.2

8 8 7,774.. .. 268,530

1,414 1,564 3,2140.7 ..

30.1 167.3 101.43.3 18.5 47.7








Brazil

2005 2014 2014


188.5 206.1 2,36195.9 109.8 1,254

9.3 6.8 5.93,910 11,790 7,926

3.7 3.1 5.75.5 5.2 7.3

28.5 24.0 35.917.4 11.7 21.866.0 70.8 56.8

6.9 6.312.8 10.6 20.615.2 11.2 27.711.8 13.9 27.3

.. 116

.. 83 24

.. 11 7

.. 2,600 30918 13 21

.. 4.0 2.6

.. .. 17.7246.7 73.6

2.0 2.9 2.9 .. .... .... .... .... .... ..

137,788 200,588 305,9341.7 4.0 2.8

17.1 20.2 30.914.2 14.4 ..

.. .. ..

43.7 55.6 49.210.2 9.0 10.0

3.5 2.9 4.031.8 67.1 106.844.6 23.537.8 22.0 6.2

515 937 7,7745,652 10,679 268,5301,991 2,529 3,214

.. ..46.3 139.0 101.421.0 57.6 47.7








Brunei Darussalam

2005 2014 2014


0.36 0.42 1,3980.17 0.20 689

3.4 3.8 7.223,290 37,320 38,301

1.4 0.6 1.80.9 0.7 1.6

71.6 68.2 24.512.3 12.3 14.927.5 31.0 73.9

1.2 –0.26.5 7.8 18.5

70.2 71.0 30.327.3 35.7 29.8

.. 84121 14 15

21 7 6144 89 179

27 19 13.. 2.5 2.0.. 0.8 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. ..

1.8 3.3 1.711.4 27.3 20.4

.. .. ..

.. .. 65.7

53.9 62.8 .... 11.3 8.0.. 3.7 3.3

40.3 33.2 142.5–11.2 –4.2

4.5 5.2 ..

12 11 21,287

.. 128 336,7888,539 9,704 8,508

.. ..63.3 110.1 125.736.5 68.8 80.6








Bulgaria

2005 2014 2014


7.7 7.2 2,3613.4 3.3 1,254

10.1 11.6 5.93,760 7,620 7,926

5.8 0.9 5.78.5 5.3 7.3

28.2 27.2 35.9.. .. 21.8

63.3 67.6 56.85.0 –1.44.8 6.9 20.6

42.6 65.1 27.757.3 66.0 27.3

.. 3832 18 2411 4 7

586 423 30924 18 21

.. 3.3 2.6

.. 5.0 17.729.3 42.6

5.7 8.9 2.9

2.9 16.142.6 6.060.2 59.237.2 42.322.1 49.612.1 23.3

8,473 2,404 305,93413.7 3.5 2.825.7 21.1 30.9

.. .. ..

.. 17.2 ..

40.2 68.2 49.27.4 11.6 10.02.2 16.7 4.0

39.1 59.6 106.82.0 7.85.6 6.6 6.2

10 12 7,774131 184 268,530

4,122 4,640 3,2141.7 1.2

81.3 137.7 101.420.0 55.5 47.7








Burkina Faso

2005 2014 2014


13.4 17.6 6226.0 7.9 2712.7 3.1 5.7

410 700 6286.2 5.7 6.4

39.0 34.2 31.718.0 23.1 21.711.7 6.4 8.843.0 42.7 46.6

6.4 –0.322.5 10.6 5.3

9.7 28.9 24.325.8 35.7 42.7

.. 14340 13 2712 3 8

270 270 26745 41 36

.. 4.0 3.3

.. 16.2 18.30.6 1.30.1 0.2 0.6

9.5 ..

19.5 ..88.1 ..19.4 ..19.6 ..

7.4 ..

980 205 7,5010.6 2.7 4.4

19.7 32.7 25.110.5 17.3 ..

.. .. ..

13.9 28.6 26.7.. .. .... .. ..

16.5 28.0 20.7.. .... .. ..

1 4 266.. .. .... .. ..

7.5 ..4.7 71.7 56.70.5 9.4 6.3








Burundi

2005 2014 2014


7.9 10.8 6223.6 5.0 2717.3 6.9 5.7

130 270 6283.3 4.2 6.4

44.5 39.3 31.718.5 18.3 21.712.9 9.7 8.837.1 42.4 46.613.5 4.4

4.2 1.3 5.38.2 7.8 24.3

33.4 33.5 42.7

.. 152

13 4 278 3 8

140 274 26747 32 36

.. 5.0 3.3

.. 28.9 18.3

.. ..

.. .. 0.6

5.7 2.322.6 20.060.3 51.325.5 57.924.1 25.3

7.1 10.6

17 25 7,5010.1 0.3 4.4

22.4 27.8 25.113.0 14.7 ..

.. .. ..

17.1 17.2 26.7.. 13.4 .... 10.9 ..

14.5 15.4 20.7–0.3 6.8

.. .. ..

.. .. 266.. .. .... .. ..

10.7 16.62.0 30.5 56.70.5 1.4 6.3







Sub-Saharan Africa Lower middle income

Cabo Verde

2005 2014 2014


0.47 0.51 2,8780.19 0.24 1,169

9.6 9.2 5.32,110 3,450 2,018

7.3 2.0 5.79.0 7.8 16.6

19.2 16.6 31.16.5 .. 16.8

71.8 74.7 51.90.4 –0.20.0 0.0 11.5

37.8 31.5 25.766.6 60.3 29.5

.. 12660 10 2012 7 7

186 180 30722 20 25

.. .. 2.9

.. 18.5 15.8

.. ..

.. .. 1.7

12.2 ..10.4 ..60.4 ..19.4 ..

7.8 ..12.2 ..

140 29 138,6238.3 7.1 2.1

44.2 46.7 25.136.0 33.7 20.7

.. .. ..

75.1 89.4 48.7.. .. 10.6.. .. 5.5

39.1 62.9 41.414.3 11.9

8.9 7.4 7.2

20 8 2,666

.. .. 72,101

.. .. 74311.4 ..17.1 121.8 87.6

6.1 40.3 22.6







East Asia & Pacific Low income

Cambodia

2005 2014 2014


13.3 15.3 6226.8 8.6 2711.3 0.4 5.7

460 1,020 6289.2 7.1 6.4

32.4 30.4 31.726.4 27.0 21.718.8 16.2 8.841.2 42.6 46.6

6.3 3.90.1 0.2 5.3

64.1 62.3 24.372.7 66.7 42.7

.. 12787 87 2710 7 8

137 173 26743 22 36

.. 6.0 3.3

.. 19.5 18.31.5 ..0.2 .. 0.6

5.6 1.3

60.3 58.2.. ..

12.6 3.615.5 9.4

.. 9.5

3,313 11 7,501

6.0 10.3 4.418.9 20.9 25.113.5 8.4 ..

.. .. ..

14.3 54.1 26.7.. .. .... .. ..

9.0 54.1 20.7.. .... .. ..

3 11 266

253 289 ..67 221 ..

.. 6.08.0 132.7 56.70.3 9.0 6.3








Cameroon

2005 2014 2014


18.1 22.8 2,8787.0 9.2 1,1694.4 4.3 5.3

900 1,350 2,0183.3 4.7 5.7

20.6 22.2 16.632.0 30.1 31.118.7 14.3 16.847.4 47.8 51.9

2.0 1.92.2 4.9 11.5

20.5 21.7 25.721.5 31.2 29.5

.. 17245 15 2011 5 7

654 630 30727 23 25

.. 2.8 2.9

.. 30.0 15.8

.. ..

.. .. 1.7

12.8 ..65.4 ..84.6 ..41.9 ..78.9 ..16.4 ..

1,871 1,058 138,6231.5 1.6 2.1

17.7 20.5 25.115.2 18.2 20.7

.. .. ..

12.9 17.7 48.7.. 3.3 10.6.. 9.7 5.5

9.9 15.6 41.414.7 ..12.8 .. 7.2

11 6 2,666218 367 72,101182 278 74311.6 ..12.4 75.7 87.6

1.4 11.0 22.6








Canada

2005 2014 2014


32.3 35.5 1,39817.7 19.7 689

6.7 6.9 7.233,950 51,630 38,301

2.1 2.5 1.81.6 .. 1.6

30.0 .. 24.512.7 .. 14.968.5 .. 73.9

2.2 1.913.1 14.8 18.537.0 31.6 30.333.1 32.5 29.8

.. 144 2 153 2 6

119 131 1798 8 13.. 0.8 2.0.. 3.9 13.2

20.9 30.90.9 1.3 6.4

.. .... .... .... .... .... ..

.. .. ..

2.2 3.2 1.722.0 23.7 20.4

.. .. ..

.. 48.8 65.7

145.0 .. ..4.1 4.9 8.00.5 0.5 3.3

173.5 .. 142.51.2 1.23.6 2.5 ..

1,018 1,290 21,2874,163 5,578 336,788

17,013 15,519 8,508.. ..

52.8 81.0 125.771.7 87.1 80.6








Cayman Islands

2005 2014 2014


0.05 0.06 1,398.. .. 689.. .. 7.2.. .. 38,301.. .. 1.8

0.3 0.3 1.67.2 4.7 24.50.8 0.9 14.9

.. .. 73.9

.. ..

.. .. 18.5

.. .. 30.3

.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. ..

466.6 .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,2871 52 336,788.. .. 8,508.. ..

166.5 153.7 125.738.0 74.1 80.6








Central African Republic

2005 2014 2014


4.1 4.8 6221.8 2.3 2717.0 7.4 5.7

340 320 6282.3 –7.6 6.4

54.9 58.2 31.714.3 12.0 21.7

6.4 6.0 8.830.8 29.8 46.6

2.9 1.50.0 0.0 5.3

13.2 12.3 24.321.5 37.1 42.7

.. 18522 22 2711 10 8

504 483 26757 46 36

.. 4.8 3.3

.. 0.0 18.3

.. ..

.. .. 0.6 .. 9.2.. 16.8.. 66.7.. 25.3.. 11.8.. 37.0

31 49 7,5010.7 0.2 4.49.8 10.2 25.1

.. .. ..

.. .. ..

5.3 12.5 26.7.. .. .... .. ..

6.8 14.1 20.711.9 ..12.8 .. ..

.. .. 266.. .. .... .. .... 29.0

2.5 24.5 56.70.3 4.0 6.3








Chad

2005 2014 2014


10.1 13.6 6223.7 5.1 2717.0 7.0 5.7

470 980 62811.4 6.5 6.454.8 52.6 31.7

9.4 15.1 21.70.2 2.8 8.8

35.7 32.3 46.67.9 1.7

.. .. 5.348.0 34.2 24.337.9 42.5 42.7

.. 18362 60 2713 9 8

732 732 26778 70 36

.. 4.0 3.3

.. 31.3 18.3

.. ..

.. .. 0.6 .. .... .... .... .... .... ..

591 217 7,501–1.5 5.5 4.420.6 33.2 25.114.4 22.5 ..

.. .. ..

2.6 7.8 26.7.. .. .... .. ..

2.5 7.8 20.7–8.2 ..12.8 .. ..

.. 0 266.. .. .... .. .... ..

2.1 39.8 56.70.4 2.5 6.3








Channel Islands

2005 2014 2014


0.15 0.16 1,3980.08 0.08 689

.. .. 7.255,320 .. 38,301

0.5 .. 1.8.. .. 1.6.. .. 24.5.. .. 14.9.. .. 73.9.. .... .. 18.5.. .. 30.3.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. .... .. 125.7.. .. 80.6








Chile

2005 2014 2014


16.1 17.8 1,3986.8 8.7 6898.0 6.4 7.2

6,340 14,910 38,3014.2 4.8 1.84.6 3.3 1.6

36.9 35.1 24.514.7 12.4 14.958.5 61.5 73.9

3.1 4.46.6 6.2 18.5

38.4 33.8 30.331.6 32.3 29.8

.. 4842 6 15

9 7 6316 291 179

17 15 13.. 3.2 2.0.. 22.3 13.2

28.7 98.42.6 8.0 6.4

9.0 ..7.6 ..

49.6 ..48.9 ..22.9 ..22.0 ..

5,848 18,670 ..5.6 8.5 1.7

21.2 22.0 20.4.. .. ..

.. .. 65.7

47.7 51.9 ..7.1 8.0 8.00.9 2.1 3.3

76.3 109.4 142.5–0.8 2.52.7 4.2 ..

93 124 21,2871,804 3,743 336,7883,112 3,879 8,508

0.6 ..64.7 133.3 125.731.2 72.4 80.6








China

2005 2014 2014


1,303.7 1,364.3 2,361762.6 806.5 1,254

4.1 4.7 5.91,750 7,400 7,926

10.9 8.5 5.711.7 9.2 7.346.9 42.7 35.932.3 30.1 21.841.4 48.1 56.8

1.8 2.030.8 25.4 20.633.7 22.6 27.729.2 18.9 27.3

.. 84

.. 31 24

.. 11 7

.. 261 30923 21 21

.. 1.7 2.6

.. .. 17.7

.. ..

.. .. 2.9 .. 0.9.. 10.9.. 57.7.. 22.1.. 6.9.. 53.4

37,487 20,446 305,9344.6 2.8 2.8

39.9 44.3 30.9.. .. ..

.. .. ..

44.7 45.2 49.24.4 7.2 10.08.6 1.2 4.0

112.7 141.9 106.81.6 4.73.3 2.9 6.2

1,349 3,357 7,77467,245 181,635 268,530

1,784 3,762 3,214.. 0.1

29.8 92.3 101.48.5 49.3 47.7








Colombia

2005 2014 2014


43.3 47.8 2,36120.5 24.3 1,25412.0 10.1 5.9

2,920 7,970 7,9264.6 4.9 5.78.4 6.3 7.3

32.8 36.0 35.915.4 12.2 21.858.8 57.7 56.8

5.0 2.95.0 7.7 20.6

16.8 16.0 27.718.8 21.4 27.3

.. 5440 11 2411 8 7

456 239 30934 14 21

.. 1.7 2.6

.. 22.5 17.729.3 63.0

1.1 2.0 2.9

14.3 ..1.1 ..

55.1 ..55.7 ..26.4 ..

5.9 ..

14,073 20,584 305,934

7.0 4.3 2.819.7 25.5 30.9

.. .. ..

52.5 58.6 ..16.5 24.3 49.214.0 14.9 10.0

2.7 2.9 4.029.3 52.7 106.8

8.5 8.97.5 6.8 6.2

162 310 7,7741,236 3,128 268,530

896 1,177 3,2140.4 ..

50.6 113.1 101.411.0 52.6 47.7








Comoros

2005 2014 2014


0.62 0.77 6220.20 0.26 271

6.6 6.5 5.7620 790 6282.0 2.8 6.4

41.2 35.6 31.711.8 11.8 21.7

4.1 7.4 8.847.0 52.6 46.6

3.0 0.60.1 0.1 5.3

15.0 17.3 24.336.4 62.6 42.7

.. 15430 15 2710 8 8

100 100 26731 31 36

.. .. 3.3

.. 32.1 18.3

.. ..

.. .. 0.6 .. .... .... .... .... .... ..

.. .. 7,501

0.1 2.2 4.410.3 20.4 25.1

.. .. ..

.. .. ..

17.2 30.9 26.7.. 4.5 .... 2.5 ..

9.7 25.1 20.710.7 8.2

8.0 8.8 ..

.. .. 266.. .. .... .. .... ..

2.6 50.9 56.72.0 7.0 6.3








Congo, Dem. Rep.

2005 2014 2014


56.1 74.9 62221.6 29.0 271

8.2 8.0 5.7200 380 6285.1 7.7 6.4

22.4 21.2 31.733.0 33.2 21.720.0 17.8 8.844.6 45.7 46.621.3 1.6

.. .. 5.320.4 33.3 24.323.6 38.9 42.7

.. 184133 11 27

14 6 8308 346 267

46 44 36.. .. 3.3.. 27.5 18.3.. 1.8.. 0.1 0.6

6.3 4.764.4 53.982.4 78.4

5.8 8.720.5 16.0

4.3 13.3

1,017 992 7,501

1.4 –1.0 4.411.7 21.4 25.1

9.0 12.0 ..

.. .. ..

2.3 10.5 26.7.. .. .... .. ..

1.2 6.2 20.730.6 17.232.6 14.7 ..

.. 13 266.. .. ..

87 110 ..16.9 12.3

5.1 53.5 56.70.2 3.0 6.3








Congo, Rep.

2005 2014 2014


3.5 4.5 2,8781.4 1.8 1,1696.6 6.5 5.3

980 2,720 2,0184.0 4.7 5.74.5 4.8 16.6

71.9 69.4 31.14.0 4.7 16.8

23.6 25.7 51.93.1 0.12.2 2.0 11.5

84.2 73.0 25.754.5 70.3 29.5

.. 17637 53 2011 11 7

606 602 30750 50 25

.. 3.3 2.9

.. 0.0 15.8

.. ..

.. .. 1.7 .. .... .... .... .... .... ..

1,222 112 138,62313.2 38.8 2.119.7 41.0 25.113.5 11.3 20.7

0.2 .. ..6.6 26.5 48.7

.. 4.5 10.6

.. 2.5 5.52.4 14.1 41.4

–3.0 ..12.8 .. 7.2

5 10 2,666.. 437 72,101

121 234 743.. ..

15.8 108.1 87.61.5 7.1 22.6








Costa Rica

2005 2014 2014


4.2 4.8 2,3611.9 2.3 1,2546.6 8.3 5.9

4,890 10,120 7,9265.1 4.4 5.79.0 5.6 7.3

29.1 25.0 35.921.7 16.4 21.861.9 69.4 56.813.8 4.538.0 43.3 20.648.5 35.1 27.754.0 37.2 27.3

.. 5877 24 2412 9 7

402 151 30936 14 21

.. 3.0 2.6

.. 19.3 17.733.9 3.811.8 1.1 2.9

9.6 ..0.0 ..

.. ..15.8 ..48.6 ..10.4 ..

821 1,388 305,9344.3 5.2 2.8

18.7 21.8 30.9.. .. ..

.. .. ..

22.3 23.4 49.213.1 9.7 10.0

1.4 1.6 4.035.6 55.1 106.812.7 9.714.5 11.6 6.2

36 50 7,774740 1,960 268,530

1,736 1,955 3,214.. ..

25.5 143.8 101.422.1 49.4 47.7








Côte d’lvoire

2005 2014 2014


18.1 22.2 2,8786.8 8.5 1,1694.1 4.0 5.3

940 1,450 2,0181.0 5.2 5.7

22.6 22.4 16.622.8 21.1 31.114.5 12.6 16.854.6 56.5 51.9

3.9 0.511.6 3.7 11.549.9 43.4 25.744.0 39.4 29.5

.. 14245 7 2011 4 7

270 270 30723 25 25

.. 2.2 2.9

.. 8.8 15.8

.. ..

.. .. 1.7 .. .... .... .... .... .... ..

1,523 1,721 138,6232.0 1.3 2.19.2 16.1 25.16.6 9.9 20.7

.. .. ..

14.6 26.1 48.7.. .. 10.6.. .. 5.5

13.2 20.3 41.4.. .... .. 7.2

.. 4 2,666

710 783 72,101174 252 743

.. ..13.5 106.2 87.6

1.0 14.6 22.6








Croatia

2005 2014 2014


4.4 4.2 1,3982.0 1.8 689

12.6 16.7 7.29,870 12,980 38,301

3.7 –1.2 1.85.0 4.3 1.6

29.0 28.8 24.515.6 14.5 14.966.0 66.8 73.9

3.3 –0.211.4 8.4 18.539.3 46.3 30.345.4 44.2 29.8

.. 4029 12 1511 7 6

232 206 17926 16 13

.. 3.1 2.0

.. 0.0 13.28.4 13.12.8 4.6 6.4

2.0 19.6

20.1 0.031.7 48.245.9 38.315.2 42.417.4 24.1

.. .. ..

4.0 6.9 1.725.4 19.1 20.419.9 15.4 ..

.. .. 65.7

53.1 64.3 ..10.1 14.0 8.0

6.2 16.7 3.351.9 69.5 142.5

7.5 8.49.5 7.7 ..

22 25 21,28794 177 336,788

3,476 3,754 8,5080.5 1.0

83.2 104.4 125.733.1 68.6 80.6








Cuba

2005 2014 2014


11.3 11.4 2,3614.8 5.4 1,2541.9 3.3 5.9

3,960 5,880 7,9266.4 2.8 5.75.6 5.0 7.3

19.4 20.5 35.99.5 10.7 21.8

75.0 74.5 56.8.. ..

18.3 .. 20.621.0 24.1 27.718.3 20.2 27.3

.. ..

.. .. 24

.. .. 7

.. .. 309

.. .. 21

.. .. 2.6

.. .. 17.7

.. ..

.. .. 2.9 .. .... .... .... .... .... ..

60 .. 305,934.. .. 2.8

9.0 .. 30.9.. .. ..

.. .. .... .. 49.2.. .. 10.0.. .. 4.0.. .. 106.8.. .... .. 6.2

11 15 7,774320 301 268,530

1,155 1,425 3,214.. ..

1.2 22.5 101.49.7 30.0 47.7








Curaçao

2005 2014 2014


0.14 0.16 1,398.. .. 689.. .. 7.2.. .. 38,301.. .. 1.8.. .. 1.6.. .. 24.5.. .. 14.9.. .. 73.9.. .... .. 18.5.. .. 30.3.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788

7,613 5,006 8,508.. .... 121.6 125.7.. .. 80.6








Cyprus

2005 2014 2014


1.0 1.2 1,3980.52 0.61 689

5.3 15.6 7.223,580 26,370 38,301

3.6 –1.9 1.82.7 2.4 1.6

20.2 10.6 24.57.7 5.0 14.9

77.2 87.1 73.92.6 –1.4

17.0 6.2 18.556.2 55.4 30.356.7 52.7 29.8

.. 47

.. 8 15

.. 6 6

.. 146 179

.. 7 13

.. 1.5 2.0

.. 9.3 13.214.5 11.220.2 13.7 6.4

.. .... .... .... .... .... ..

.. .. ..

6.4 3.7 1.721.5 10.8 20.4

.. .. ..

.. 145.8 65.7

201.8 53.6 .... 10.3 8.0.. 44.9 3.3

270.1 251.5 142.54.0 ..3.3 .. ..

17 9 21,287377 291 336,788

4,080 3,595 8,508.. ..

75.8 96.3 125.732.8 69.3 80.6








Czech Republic

2005 2014 2014


10.2 10.5 1,3985.2 5.3 6897.9 6.2 7.2

12,380 18,350 38,3014.1 0.7 1.82.4 2.7 1.6

37.7 38.0 24.525.5 26.6 14.959.8 59.3 73.9

1.8 0.313.0 14.9 18.562.3 83.8 30.360.0 77.1 29.8

.. 3640 15 1510 8 6

930 405 17917 17 13

.. 2.1 2.0

.. 9.5 13.214.1 24.4

1.9 3.4 6.4

1.9 13.936.0 0.4

.. 36.028.2 45.515.4 57.815.9 40.9

.. .. ..

8.5 2.4 1.728.3 25.0 20.4

.. .. ..

21.1 40.8 65.747.5 68.0 ..

5.0 7.3 8.03.9 5.6 3.3

29.5 50.4 142.55.7 2.14.6 3.9 ..

75 49 21,287.. .. 336,788

6,357 6,285 8,508.. 0.4

115.1 129.5 125.735.3 79.7 80.6








Denmark

2005 2014 2014


5.4 5.6 1,3982.9 2.9 6894.8 6.6 7.2

49,620 61,330 38,3011.2 0.4 1.81.3 1.4 1.6

26.2 22.5 24.514.4 13.9 14.972.4 76.2 73.9

1.8 0.619.6 14.4 18.547.4 53.7 30.341.8 48.3 29.8

.. 36 3 154 4 6

135 130 1796 6 13.. 1.0 2.0.. 18.7 13.2

18.6 15.85.2 4.4 6.4

.. .... .... .... .... .... ..

.. .. ..

4.9 –0.2 1.721.1 18.7 20.4

.. .. ..

.. 46.6 65.7

46.9 55.0 ..4.9 7.3 8.00.2 4.4 3.3

157.5 178.7 142.54.6 ..4.7 .. ..

13 .. 21,287914 918 336,788

6,659 6,040 8,508.. ..

100.6 125.9 125.782.7 96.0 80.6







Middle East & North Africa Lower middle income

Djibouti

2005 2014 2014


0.78 0.88 2,8780.24 0.31 1,169

.. .. 5.31,030 .. 2,018

4.0 4.8 5.73.5 .. 16.6

16.6 .. 31.12.6 .. 16.8

79.9 .. 51.93.1 2.9

.. .. 11.540.6 .. 25.751.0 .. 29.5

.. 17144 14 2011 7 766 82 30727 20 25

.. 2.3 2.9

.. 17.7 15.8

.. ..

.. .. 1.7 .. 5.3.. 3.4.. 22.2.. 25.2.. 34.1.. 17.3

396 .. 138,6233.1 9.6 2.1

19.0 .. 25.19.7 .. 20.7

.. .. ..

67.0 73.5 48.7.. .. 10.6.. 18.0 5.5

20.1 30.9 41.48.0 9.4

10.6 11.5 7.2

.. .. 2,666

295 773 72,101.. .. 743.. 1.6

5.7 32.4 87.61.0 10.7 22.6








Dominica

2005 2014 2014


0.07 0.07 2,361.. .. 1,254.. .. 5.9

5,140 6,930 7,9263.1 0.5 5.7

13.3 15.9 7.315.1 14.8 35.9

4.6 3.6 21.871.6 69.3 56.8

1.7 0.87.5 8.8 20.6

34.9 34.1 27.753.0 47.6 27.3

.. 9114 12 24

5 5 7147 117 309

16 13 21.. 4.0 2.6.. 26.1 17.7

0.2 ..3.5 .. 2.9

.. .... .... .... .... .... ..

5 .. 305,934

5.2 7.8 2.819.8 14.9 30.9

.. .. ..

.. .. ..

71.5 93.1 49.2.. .. 10.0.. .. 4.0

47.8 53.3 106.811.1 9.4

6.8 6.1 6.2

.. .. 7,774.. .. 268,530.. .. 3,214.. ..

73.7 127.5 101.438.5 62.9 47.7








Dominican Republic

2005 2014 2014


9.2 10.4 2,3614.0 4.7 1,254

18.0 15.0 5.92,910 6,040 7,926

5.1 4.6 5.77.5 6.2 7.3

29.6 26.9 35.922.9 15.6 21.863.0 66.9 56.8

4.2 3.08.4 3.7 20.6

30.0 25.7 27.735.5 30.6 27.3

.. 9376 15 24

9 7 7232 316 309

17 8 21.. 3.5 2.6.. 22.6 17.7.. 8.1.. 1.2 2.9 .. .... .... .... .... .... ..

1,262 1,160 305,9343.3 3.7 2.8

16.4 20.6 30.9.. .. ..

.. .. ..

19.8 21.7 49.29.5 9.1 10.05.9 1.5 4.0

20.9 26.5 106.820.9 12.310.2 7.2 6.2

.. 2 7,774

598 1,795 268,5301,216 1,517 3,214

.. ..38.8 78.9 101.411.5 49.6 47.7








Ecuador

2005 2014 2014


13.7 15.9 2,3616.5 7.7 1,2546.6 4.6 5.9

2,900 6,090 7,9264.5 5.3 5.7

10.0 9.1 7.333.4 39.1 35.915.0 14.5 21.856.6 51.8 56.8

2.4 3.67.7 4.8 20.6

27.6 28.6 27.728.5 30.1 27.3

.. 11769 51 2414 12 7

600 654 30922 19 21

.. 5.3 2.6

.. 16.1 17.7

.. ..

.. .. 2.9

17.3 ..11.3 ..65.4 ..41.9 ..23.3 ..18.2 ..

3,644 2,034 305,9341.2 0.8 2.8

20.4 27.6 30.915.7 13.1 ..

.. .. .... .. 49.2

8.5 8.6 10.05.5 3.2 4.0

20.7 27.4 106.81.8 ..6.0 .. 6.2

30 56 7,774633 1,787 268,530800 1,333 3,2141.6 ..

45.3 103.9 101.46.0 43.0 47.7








Egypt, Arab Rep.

2005 2014 2014


74.9 89.6 2,87823.9 29.6 1,16911.2 13.2 5.3

1,240 3,210 2,0184.9 2.5 5.7

14.9 11.1 16.636.3 39.0 31.117.8 16.4 16.848.8 49.9 51.9

4.9 10.10.4 1.3 11.5

30.3 14.4 25.732.6 23.0 29.5

.. 13122 8 2010 7 7

504 392 30727 12 25

.. 2.5 2.9

.. 16.3 15.83.9 ..0.1 .. 1.7

.. 3.1

23.8 9.4.. 47.9

9.8 6.3133.9 75.7

20.0 8.6

15,519 4,641 138,623

6.0 1.6 2.117.9 12.6 25.1

8.6 7.4 20.7

85.8 .. ..84.3 63.2 48.7

5.0 6.5 10.626.5 8.9 5.551.2 25.9 41.4

6.5 0.25.9 4.8 7.2

45 91 2,6664,031 8,811 72,1011,272 1,697 743

.. 16.319.0 114.3 87.612.8 31.7 22.6








El Salvador

2005 2014 2014


5.9 6.1 2,8782.4 2.7 1,1697.2 6.2 5.3

2,870 3,920 2,0182.4 1.9 5.7

10.6 11.4 16.629.9 26.8 31.123.1 20.6 16.859.5 61.7 51.9

4.7 1.14.4 4.8 11.5

25.6 25.8 25.744.2 43.5 29.5

.. 8640 17 2012 8 7

320 312 30722 13 25

.. 3.5 2.9

.. 20.1 15.81.7 2.10.5 0.5 1.7

9.2 ..2.6 ..

73.8 ..39.0 ..22.1 ..11.0 ..

1,207 774 138,6233.0 1.9 2.1

15.3 13.6 25.112.9 11.4 20.7

48.3 55.9 .... .. 48.7

11.1 14.0 10.61.9 2.3 5.5

42.9 43.9 41.4.. .... .. 7.2

24 34 2,666144 190 72,101769 915 7431.6 ..

39.7 144.0 87.64.2 29.7 22.6







Sub-Saharan Africa High income

Equatorial Guinea

2005 2014 2014


0.63 0.82 1,3980.32 0.43 689

6.8 7.9 7.24,660 10,210 38,301

17.7 –0.3 1.8.. .. 1.6.. .. 24.5.. .. 14.9.. .. 73.9

5.6 4.8.. .. 18.5

87.4 95.6 30.343.6 67.1 29.8

.. 180177 135 15

18 18 6492 492 179

29 29 13.. .. 2.0.. 20.7 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. ..

9.4 12.4 1.738.8 47.8 20.428.5 21.1 ..

.. .. 65.7

5.1 16.6 .... .. 8.0.. .. 3.3

2.1 12.6 142.5–26.1 ..12.8 .. ..

.. 14 21,287.. .. 336,788.. .. 8,508.. ..

16.1 66.4 125.71.1 18.9 80.6








Eritrea

2005 2014 2014


4.2 5.1 6222.0 2.5 2717.5 7.2 5.7

260 480 6280.2 .. 6.4

24.2 .. 31.721.9 .. 21.7

7.3 .. 8.853.9 .. 46.6

.. ..18.2 .. 5.3

6.2 14.4 24.354.9 23.2 42.7

.. 18976 84 2713 13 8

216 216 26759 50 36

.. .. 3.3

.. 9.2 18.3

.. ..

.. .. 0.6 .. .... .... .... .... .... ..

.. .. 7,501

0.1 1.5 4.420.3 10.0 25.1

2.5 1.9 ..

.. .. ..

107.3 89.7 26.7.. .. .... .. ..

27.6 13.9 20.7.. .... .. ..

.. .. 266.. .. ..

58 62 .... ..

0.8 6.4 56.70.4 1.0 6.3








Estonia

2005 2014 2014


1.4 1.3 1,3980.68 0.69 689

7.9 7.7 7.29,710 19,010 38,301

5.2 4.2 1.83.5 3.4 1.6

29.8 28.1 24.516.6 15.7 14.966.7 68.4 73.9

4.1 –0.114.7 11.5 18.565.9 83.9 30.371.0 80.5 29.8

.. 1635 4 15

6 3 681 81 179

6 6 13.. 3.0 2.0.. 8.4 13.2

6.2 13.96.8 16.1 6.4

2.1 6.6

13.7 0.0.. 35.7

21.6 23.67.2 15.3

12.9 28.7

.. .. ..

22.3 5.9 1.732.9 25.2 20.4

.. .. ..

.. 0.6 65.7

42.5 .. ..8.4 11.6 8.00.2 1.4 3.33.6 4.3 142.5

–1.1 2.72.8 4.3 ..

8 13 21,287

181 198 336,7885,532 6,665 8,508

.. 0.6109.1 160.7 125.7

61.5 84.2 80.6








Ethiopia

2005 2014 2014


76.6 97.0 62234.9 47.0 271

5.4 5.2 5.7160 550 6288.5 10.5 6.4

44.7 41.9 31.712.8 14.7 21.7

5.3 4.3 8.842.5 43.4 46.612.9 7.4

1.5 8.1 5.3.. 11.6 24.3.. 29.1 42.7

.. 146

35 19 2711 11 8

212 306 26747 44 36

.. 3.0 3.3

.. 25.7 18.30.8 ..0.0 .. 0.6

3.8 11.94.3 17.4

.. 23.140.7 16.444.2 194.3

4.2 4.3

4 .. 7,501

2.1 2.2 4.4.. 38.0 25.1.. 21.5 ..

.. .. ..

35.2 .. 26.7.. .. ..

19.9 .. ..22.8 .. 20.7–2.6 ..3.5 .. ..

31 69 266.. .. ..

33 65 ..1.7 8.20.5 31.6 56.70.2 2.9 6.3








Faroe Islands

2005 2014 2014


0.05 0.05 1,398.. .. 689.. .. 7.2.. .. 38,301.. .. 1.8.. .. 1.6.. .. 24.5

6.0 5.9 14.956.4 58.6 73.9

.. ..0.1 .. 18.5

42.5 50.6 30.352.5 57.1 29.8

.. ..

.. .. 15

.. .. 6

.. .. 179

.. .. 13

.. .. 2.0

.. .. 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. ..

85.5 124.1 125.767.9 94.7 80.6








Fiji

2005 2014 2014


0.82 0.89 2,3610.32 0.35 1,254

4.6 7.9 5.93,590 4,870 7,926

1.6 2.3 5.714.1 11.2 7.319.2 18.7 35.914.2 13.2 21.866.8 70.1 56.8

2.4 0.53.1 2.1 20.6

53.1 54.8 27.765.1 62.8 27.3

.. 8844 58 24

8 11 7140 195 309

25 19 21.. 1.8 2.6.. 20.6 17.7.. .... .. 2.9 .. .... .... .... .... .... ..

189 67 305,9345.3 6.2 2.8

21.0 .. 30.917.9 .. ..

.. .. ..

48.1 66.7 49.2.. 8.7 10.0.. 2.2 4.0

68.7 77.8 106.80.0 2.25.0 3.9 6.2

42 18 7,774.. .. 268,530.. .. 3,214.. ..

24.9 98.8 101.48.5 41.8 47.7








Finland

2005 2014 2014


5.2 5.5 1,3982.6 2.7 6898.4 8.6 7.2

40,100 48,440 38,3012.4 0.3 1.82.6 2.8 1.6

33.5 26.5 24.524.3 16.7 14.963.8 70.6 73.9

0.9 1.025.1 7.9 18.540.3 37.9 30.336.4 38.7 29.8

.. 1014 14 15

3 3 6269 93 179

9 9 13.. 0.9 2.0.. 11.8 13.2

8.4 12.02.4 3.4 6.4

.. .... .... .... .... .... ..

.. .. ..

5.3 5.4 1.723.0 20.3 20.4

.. .. ..

.. 53.7 65.7.. .. ..

9.4 4.3 8.00.3 0.5 3.3

69.4 93.7 142.53.1 ..2.7 .. ..

107 137 21,2871,312 1,716 336,788

16,116 15,510 8,508.. ..

100.5 139.7 125.774.5 92.4 80.6








France

2005 2014 2014


63.2 66.2 1,39828.8 30.1 689

8.9 9.9 7.236,000 42,950 38,301

1.5 1.0 1.81.9 1.7 1.6

21.5 19.4 24.513.3 11.2 14.976.6 78.9 73.9

1.7 0.520.3 26.1 18.526.4 28.7 30.326.8 30.5 29.8

.. 277 4 155 5 6

132 137 17919 10 13

.. 1.9 2.0

.. 0.5 13.2117.3 94.9

2.9 2.3 6.4 .. .... .... .... .... .... ..

.. .. ..

3.9 0.3 1.721.7 21.7 20.4

.. .. ..

.. 88.5 65.7.. .. ..

5.4 5.3 8.03.5 4.2 3.3

79.9 94.9 142.54.9 ..4.4 .. ..

728 610 21,2874,001 6,646 336,7887,656 7,379 8,508

.. ..78.3 101.2 125.742.9 83.8 80.6








French Polynesia

2005 2014 2014


0.25 0.28 1,3980.10 0.12 689

.. .. 7.2

.. .. 38,301

.. .. 1.8

.. .. 1.6

.. .. 24.5

.. .. 14.9

.. .. 73.9

.. ..13.2 14.8 18.5

.. .. 30.3

.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287

70 89 336,788.. .. 8,508.. ..

47.1 91.2 125.721.5 60.7 80.6








Gabon

2005 2014 2014


1.4 1.7 2,3610.50 0.65 1,25420.9 19.7 5.9

5,580 9,720 7,9261.0 6.2 5.75.1 3.9 7.3

61.5 57.5 35.92.5 3.1 21.8

30.2 38.6 56.83.7 4.7

10.9 .. 20.660.7 54.2 27.724.0 30.1 27.3

.. 16257 50 24

8 7 7488 488 309

19 20 21.. 5.0 2.6.. 20.9 17.7

2.6 ..3.4 .. 2.9

.. .... .... .... .... .... ..

499 83 305,9343.4 5.4 2.8

19.8 26.6 30.916.3 19.8 ..

.. .. ..

12.1 18.9 49.211.1 9.2 10.014.1 3.5 4.0

8.6 14.5 106.80.4 ..

12.8 .. 6.2

9 0 7,774.. 198 268,530

933 1,168 3,214.. ..

53.4 171.4 101.44.9 9.8 47.7








Gambia, The

2005 2014 2014


1.4 1.9 6220.60 0.80 271

7.2 7.0 5.7400 460 6283.2 2.6 6.4

29.7 21.4 31.715.4 15.9 21.7

7.3 5.8 8.854.9 62.8 46.6

4.8 5.90.3 0.0 5.3

20.7 29.2 24.349.6 40.9 42.7

.. 15128 25 27

8 7 8376 326 267

23 19 36.. 2.0 3.3.. 6.1 18.3.. .... .. 0.6

7.3 ..13.6 ..60.3 ..14.3 ..63.9 ..22.2 ..

35 .. 7,5018.6 3.3 4.4

29.5 21.2 25.1.. .. ..

.. .. ..

25.9 45.0 26.7.. .. .... .. ..

9.6 12.8 20.730.2 18.617.6 12.0 ..

.. 2 266.. .. .... .. ..

21.0 ..17.2 119.6 56.7

3.8 15.6 6.3








Georgia

2005 2014 2014


4.2 3.7 2,8782.2 2.0 1,169

13.8 13.4 5.31,410 4,490 2,018

7.4 5.6 5.716.7 9.2 16.626.8 24.4 31.113.7 13.4 16.856.5 66.4 51.9

8.2 3.122.6 3.0 11.533.7 42.9 25.751.6 60.4 29.5

.. 2421 2 20

8 2 7448 362 307

54 9 25.. 2.0 2.9.. 14.3 15.8

4.0 17.11.4 5.7 1.7

3.9 0.9

39.8 0.2.. 54.1

27.8 27.6.. 8.7

17.5 7.7

2,548 942 138,623

7.1 10.0 2.128.1 25.8 25.122.2 25.2 20.7

40.9 32.5 ..10.5 31.7 48.718.8 17.4 10.6

1.2 3.0 5.514.7 45.2 41.4

8.9 7.810.1 3.5 7.2

5 3 2,666

185 291 72,1011,785 2,460 743

.. 1.026.2 124.9 87.6

6.1 48.9 22.6








Germany

2005 2014 2014


82.5 81.0 1,39841.3 42.2 68911.1 5.0 7.2

35,880 47,590 38,3011.0 1.8 1.80.8 0.7 1.6

29.4 30.3 24.522.4 22.6 14.969.8 69.0 73.9

1.5 0.917.4 16.0 18.537.7 45.7 30.332.7 39.0 29.8

.. 1522 11 15

9 9 6196 218 179

8 9 13.. 1.2 2.0.. 23.2 13.2

66.9 68.51.2 1.3 6.4

1.2 ..

14.8 .... ..

42.2 ..3.2 ..

.. ..

.. .. ..

2.1 0.2 1.719.1 20.1 20.4

.. .. ..

.. 52.3 65.7.. .. ..

4.1 5.6 8.04.1 2.3 3.3

104.9 79.6 142.58.2 ..7.0 .. ..

1,024 913 21,28713,599 19,685 336,788

7,138 7,019 8,508.. ..

94.6 120.4 125.768.7 86.2 80.6








Ghana

2005 2014 2014


21.4 26.8 2,8788.9 11.4 1,1693.8 2.4 5.3

470 1,590 2,0185.7 8.9 5.7

40.9 22.4 16.627.5 27.7 31.1

9.5 5.1 16.831.6 49.9 51.915.1 15.5

0.2 4.9 11.536.4 39.5 25.761.7 48.9 29.5

.. 11417 14 2011 8 7

304 224 30747 19 25

.. 1.9 2.9

.. 18.0 15.87.3 13.20.6 0.9 1.7

3.2 4.0

18.1 11.469.1 69.421.4 25.324.4 44.7

6.7 9.2

3,698 3,147 138,623

1.4 8.7 2.129.0 26.2 25.117.0 19.6 20.7

.. .. ..

23.7 15.8 48.710.3 14.3 10.613.0 11.3 5.515.5 19.9 41.4

.. ..

.. .. 7.2

3 17 2,666

544 834 72,101248 382 7439.5 8.4

13.4 114.8 87.61.8 18.9 22.6








Greece

2005 2014 2014


11.0 10.9 1,3985.0 4.9 6899.8 26.3 7.2

22,730 22,810 38,3013.1 –5.4 1.84.8 3.8 1.6

19.8 15.8 24.59.6 9.4 14.9

75.4 80.4 73.93.5 –1.3

10.6 10.3 18.521.3 32.7 30.329.6 35.2 29.8

.. 6038 13 1515 5 6

264 193 17920 15 13

.. 3.5 2.0

.. 19.7 13.25.2 5.80.7 0.8 6.4

1.8 ..

55.9 .... ..

26.2 ..7.0 ..

11.7 ..

.. .. ..

0.3 0.7 1.720.8 11.6 20.4

.. .. ..

.. 181.9 65.7.. .. ..

7.0 8.1 8.06.3 33.8 3.3

72.0 116.9 142.53.2 ..4.3 .. ..

131 110 21,2871,779 3,930 336,7885,297 5,029 8,508

.. ..92.9 110.3 125.724.0 63.2 80.6








Greenland

2005 2014 2014


0.06 0.06 1,398.. .. 689.. .. 7.2

29,970 .. 38,3011.7 .. 1.8

.. .. 1.6

.. .. 24.5

.. .. 14.9

.. .. 73.9

.. ..7.4 4.4 18.5

.. .. 30.3

.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. ..

81.6 106.4 125.757.7 66.7 80.6








Grenada

2005 2014 2014


0.10 0.11 2,361.. .. 1,254.. .. 5.9

6,760 7,910 7,9263.1 1.1 5.73.4 7.1 7.3

26.5 14.3 35.93.4 4.0 21.8

70.1 78.6 56.83.5 –0.90.1 .. 20.6

21.4 26.1 27.757.0 43.5 27.3

.. 13520 15 24

6 6 7140 140 309

19 9 21.. .. 2.6.. 27.6 17.7.. 0.1.. 2.0 2.9 .. .... .... .... .... .... ..

32 .. 305,93410.1 4.4 2.846.3 16.9 30.9

.. .. ..

.. .. ..

80.2 83.3 49.2.. 9.2 10.0.. 14.6 4.0

58.0 65.2 106.87.4 6.67.2 6.8 6.2

.. .. 7,774.. .. 268,530.. .. 3,214.. ..

45.5 110.2 101.420.5 37.4 47.7








Guam

2005 2014 2014


0.16 0.17 1,3980.07 0.08 689

.. .. 7.2

.. .. 38,301

.. .. 1.8

.. .. 1.6

.. .. 24.5

.. .. 14.9

.. .. 73.9

.. ..

.. .. 18.5

.. .. 30.3

.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287

165 236 336,788.. .. 8,508.. ..

61.9 .. 125.738.6 69.3 80.6








Guatemala

2005 2014 2014


13.2 16.0 2,8785.0 6.8 1,1692.4 2.9 5.3

1,990 3,430 2,0183.7 3.6 5.7

13.4 11.5 16.629.3 29.0 31.120.2 19.9 16.857.3 59.5 51.9

9.1 3.43.4 5.0 11.5

25.1 23.1 25.741.0 33.2 29.5

.. 8139 19 2015 6 7

344 256 30718 17 25

.. 3.0 2.9

.. 22.5 15.84.2 4.30.6 0.5 1.7

9.2 ..3.8 ..

65.8 ..22.8 ..35.3 ..

8.0 ..

2,921 2,042 138,623

2.0 2.0 2.118.3 13.8 25.113.7 10.9 20.7

21.3 24.3 ..36.9 40.5 48.7

8.4 6.9 10.62.4 1.3 5.5

25.4 32.9 41.47.0 10.38.7 8.3 7.2

.. 10 2,666

776 1,273 72,101477 555 7431.2 ..

35.6 106.6 87.65.7 23.4 22.6








Guinea

2005 2014 2014


9.7 12.3 6223.8 5.1 2712.0 1.8 5.7

340 470 6282.7 2.8 6.4

24.2 20.1 31.734.8 37.6 21.7

6.6 6.6 8.841.1 42.3 46.631.4 9.7

0.2 4.9 5.334.8 27.6 24.335.1 53.0 42.7

.. 16540 8 2712 6 8

416 440 26734 36 36

.. 3.8 3.3

.. 0.0 18.3

.. 0.8

.. 0.1 0.6

2.6 ..57.3 ..62.8 ..

2.6 ..16.1 ..

5.2 ..

505 684 7,5013.6 8.5 4.4

18.6 14.0 25.115.8 10.4 ..

.. .. ..

11.2 23.6 26.7.. .. .... .. ..

5.7 9.1 20.7.. .... .. ..

.. .. 266.. .. .... .. ..

31.5 ..2.0 72.1 56.70.5 1.7 6.3








Guinea-Bissau

2005 2014 2014


1.5 1.8 6220.61 0.78 271

6.8 6.9 5.7390 550 6282.4 2.5 6.4

45.6 43.9 31.714.5 13.6 21.7

.. .. 8.839.9 42.5 46.6

3.3 –1.53.9 .. 5.3

19.9 16.4 24.328.6 23.5 42.7

.. 178259 9 27

17 9 8208 208 267

27 25 36.. .. 3.3.. 15.1 18.3.. .... .. 0.6

2.9 ..22.7 ..53.7 ..

1.1 ..20.5 ..

8.4 ..

108 39 7,5011.5 2.1 4.44.3 6.9 25.1

.. .. ..

.. .. ..

3.8 18.3 26.7.. .. .... .. ..

1.1 12.1 20.7.. .... .. ..

.. .. 266.. .. .... .. ..

5.2 ..7.0 63.5 56.71.9 3.3 6.3








Guyana

2005 2014 2014


0.74 0.76 2,8780.28 0.33 1,16912.6 11.1 5.3

1,060 3,940 2,0182.3 5.0 5.7

34.6 18.3 16.620.0 35.3 31.1

3.7 6.5 16.845.4 46.4 51.9

6.9 0.90.2 0.2 11.5

84.6 51.1 25.7119.2 80.8 29.5

.. 13742 18 20

8 7 7288 256 307

21 19 25.. 3.0 2.9.. 21.3 15.8.. .... .. 1.7 .. .... .... .... .... .... ..

26 .. 138,6239.3 7.7 2.1

24.8 19.3 25.119.0 7.8 20.7

.. .. ..

84.7 55.5 48.7.. .. 10.6.. .. 5.5

57.1 48.9 41.46.2 13.6

12.0 11.8 7.2

.. 1 2,666.. .. 72,101.. .. 743.. ..

37.0 70.5 87.613.8 37.4 22.6







Latin America & Caribbean Low income

Haiti

2005 2014 2014


9.3 10.6 6223.7 4.6 2717.4 6.8 5.7

420 820 6280.7 2.5 6.4

.. .. 31.7

.. .. 21.7

.. .. 8.8

.. .. 46.615.7 4.6

.. .. 5.314.0 18.7 24.342.9 53.1 42.7

.. 182202 97 27

13 12 8184 184 267

44 28 36.. .. 3.3.. 23.8 18.3

0.1 0.40.0 0.1 0.6

.. .... .... .... .... .... ..

364 57 7,5010.6 1.1 4.4

.. .. 25.1

.. .. ..

.. .. ..

34.5 37.3 26.7.. .. .... .. ..

14.5 19.9 20.74.0 6.7

17.6 8.2 ..

.. .. 266.. .. ..

37 49 .... ..

5.4 64.7 56.76.4 11.4 6.3








Honduras

2005 2014 2014


6.9 8.0 2,8782.5 3.4 1,1694.2 3.9 5.3

1,390 2,270 2,0184.9 3.5 5.7

13.7 13.8 16.628.7 26.4 31.120.9 18.5 16.857.6 59.8 51.9

8.8 6.16.3 2.4 11.5

59.0 46.9 25.777.5 65.7 29.5

.. 11069 14 2012 12 7

424 224 30719 12 25

.. 3.8 2.9

.. 31.1 15.8

.. ..

.. .. 1.7

4.5 ..6.1 ..

71.0 ..36.0 ..27.6 ..16.5 ..

1,292 3,347 138,6236.2 6.7 2.1

24.9 22.3 25.120.4 19.4 20.7

.. .. ..

42.6 49.6 48.79.6 10.9 10.66.6 3.3 5.5

38.3 55.3 41.410.8 14.3

7.9 9.8 7.2

.. 24 2,666

553 705 72,101622 721 7431.9 ..

18.6 93.5 87.66.5 19.1 22.6








Hong Kong SAR, China

2005 2014 2014


6.8 7.2 1,3983.6 3.7 6895.6 3.2 7.2

28,890 40,320 38,3014.8 3.5 1.80.1 0.1 1.68.7 7.3 24.52.9 1.3 14.9

91.3 92.7 73.90.9 4.4

15.6 42.9 18.5194.7 219.6 30.3182.4 219.6 29.8

.. 511 2 15

5 2 680 74 17914 6 13

.. 0.8 2.0

.. 17.5 13.273.4 167.314.6 31.3 6.4

.. .... .... .... .... .... ..

.. .. ..

22.6 39.9 1.721.4 23.7 20.4

.. .. ..

31.6 .. 65.7

241.7 347.4 ..13.0 9.0 8.0

1.4 0.5 3.3143.1 233.7 142.5

7.9 2.06.5 5.0 ..

123 213 21,28722,602 22,300 336,788

5,878 5,934 8,508.. ..

123.9 233.6 125.756.9 74.6 80.6








Hungary

2005 2014 2014


10.1 9.9 1,3984.3 4.4 6897.2 7.8 7.2

10,430 13,340 38,3012.8 1.0 1.84.3 4.5 1.6

31.4 31.2 24.522.0 23.5 14.964.3 64.4 73.9

3.6 –0.225.8 13.7 18.562.8 89.3 30.365.1 82.0 29.8

.. 4238 5 15

6 4 6340 277 179

16 17 13.. 2.0 2.0.. 11.8 13.2

21.7 24.53.1 3.7 6.4

4.0 11.3

24.2 0.0.. 12.9

41.8 25.39.8 23.6

27.4 48.8

.. .. ..

7.6 9.0 1.723.9 21.7 20.4

.. .. ..

65.3 94.5 65.742.7 46.8 ..

8.3 9.1 8.02.3 15.6 3.3

43.5 43.5 142.56.0 1.23.4 3.0 ..

47 124 21,287.. .. 336,788

3,771 3,890 8,508.. 0.3

92.3 118.1 125.739.0 76.1 80.6








Iceland

2005 2014 2014


0.30 0.33 1,3980.17 0.19 689

2.6 5.0 7.250,730 46,350 38,301

4.3 1.4 1.85.8 6.9 1.6

25.3 23.6 24.510.6 12.8 14.968.9 69.4 73.9

4.0 2.034.0 16.9 18.530.5 53.6 30.342.4 47.4 29.8

.. 195 4 155 5 6

140 140 17910 10 13

.. 1.0 2.0

.. 9.1 13.22.9 2.1

14.9 9.5 6.4 .. .... .... .... .... .... ..

.. .. ..

15.8 4.4 1.729.4 16.7 20.4

.. .. ..

38.3 103.2 65.766.1 79.8 ..

7.3 24.0 8.01.1 4.3 3.3

241.0 98.8 142.510.9 3.6

7.2 .. ..

12 27 21,287

292 236 336,78827,988 54,799 8,508

.. ..95.4 111.1 125.787.0 98.2 80.6








India

2005 2014 2014


1,144.3 1,295.3 2,878467.6 497.0 1,169

4.4 3.6 5.3730 1,570 2,0187.6 6.9 5.7

18.8 17.8 16.628.1 30.1 31.115.4 17.1 16.853.1 52.1 51.9

4.2 6.45.8 8.6 11.5

19.3 23.2 25.722.0 25.5 29.5

.. 130

.. 29 20

.. 13 7

.. 243 30727 17 25

.. 4.3 2.9

.. .. 15.838.1 98.0

0.1 0.1 1.7

6.7 1.952.3 15.3

.. 50.136.4 36.429.5 21.922.5 27.5

192,009 102,037 138,6230.9 1.7 2.1

30.3 28.7 25.123.0 25.6 20.7

61.2 50.3 ..53.7 66.8 48.7

6.6 7.1 10.65.2 4.3 5.5

39.4 51.6 41.46.2 7.0

.. .. 7.2

330 720 2,666

4,982 11,656 72,101469 765 743

.. 13.88.0 74.5 87.62.4 18.0 22.6







East Asia & Pacific Lower middle income

Indonesia

2005 2014 2014


226.3 254.5 2,878107.4 124.1 1,169

11.2 6.2 5.31,220 3,630 2,018

5.3 5.8 5.713.1 13.4 16.646.5 41.9 31.127.4 21.0 16.840.3 42.2 51.910.5 6.416.5 7.0 11.534.1 23.7 25.729.9 24.5 29.5

.. 109

.. 48 20

.. 13 7

.. 234 30722 17 25

.. 1.9 2.9

.. .. 15.823.3 47.5

0.2 0.3 1.7 .. .... .... .... .... .... ..

22,282 15,700 138,6232.9 3.0 2.1

23.6 32.6 25.1.. .. 20.7

29.7 25.0 ..38.8 35.4 48.7

8.7 12.8 10.67.3 2.1 5.5

26.4 36.5 41.4-0.2 6.86.0 3.9 7.2

321 704 2,6665,503 11,901 72,101

501 788 743.. ..

20.9 128.8 87.63.6 17.1 22.6








Iran, Islamic Rep.

2005 2014 2014


70.1 78.1 2,36124.7 27.1 1,25412.1 12.8 5.9

2,910 7,120 7,9265.5 0.2 5.76.6 9.3 7.3

46.9 38.2 35.913.5 11.8 21.846.5 52.4 56.813.4 17.2

2.5 4.1 20.631.2 24.2 27.724.8 18.9 27.3

.. 11830 15 24

9 8 7344 344 309

26 25 21.. 4.5 2.6.. 17.8 17.7.. .... .. 2.9 .. .... .... .... .... .... ..

2,500 1,398 305,9341.3 0.5 2.8

28.7 26.2 30.918.9 3.4 ..

.. .. ..

40.3 64.6 49.2.. .. 10.0.. .. 4.0

39.5 54.4 106.8-2.9 1.64.2 -2.9 6.2

121 155 7,7741,326 3,179 268,5302,069 2,899 3,214

.. ..12.1 87.8 101.4

8.1 39.4 47.7








Iraq

2005 2014 2014


27.0 34.8 2,361

6.5 8.7 1,25418.0 16.4 5.9

2,020 6,530 7,9263.9 7.3 5.7

.. .. 7.3

.. .. 35.9

.. .. 21.8

.. .. 56.837.0 2.2

0.1 .. 20.654.3 41.5 27.761.4 22.3 27.3

.. 16132 29 2411 10 7

312 312 309102 80 21

.. .. 2.6

.. 14.3 17.77.8 2.30.5 0.1 2.9

.. 6.5.. 29.2.. 49.3.. 4.6.. 19.6.. 4.2

7,422 2,883 305,9341.0 2.1 2.8

13.8 22.4 30.9.. .. ..

.. .. ..

7.4 21.7 49.2.. .. 10.0.. .. 4.0

1.6 7.0 106.8-14.1 13.0

7.1 7.4 6.2

.. 4 7,774.. .. 268,530

834 1,798 3,214.. 40.9

5.6 94.9 101.40.9 11.3 47.7








Ireland

2005 2014 2014


4.2 4.6 1,3982.1 2.2 6894.3 11.6 7.2

44,500 46,520 38,3014.0 1.7 1.81.2 1.6 1.6

34.5 25.6 24.522.4 19.7 14.964.4 72.8 73.9

2.4 0.234.7 21.3 18.579.7 113.7 30.368.8 95.4 29.8

.. 1718 6 15

4 4 676 82 179

8 8 13.. 0.4 2.0.. 12.4 13.2

17.0 17.66.0 5.8 6.4

2.3 ..

11.0 .... ..

46.1 ..28.3 ..17.2 ..

.. .. ..

22.2 34.6 1.729.9 19.3 20.4

.. .. ..

30.8 133.0 65.7

.. .. ..4.3 12.7 8.00.5 20.7 3.3

124.9 83.2 142.50.3 ..2.6 .. ..

304 666 21,287973 835 336,788

6,242 5,702 8,508.. ..

102.7 105.1 125.741.6 79.7 80.6








Isle of Man

2005 2014 2014


0.08 0.09 1,398.. .. 689.. .. 7.2

38,690 .. 38,3016.2 .. 1.8

.. .. 1.6

.. .. 24.5

.. .. 14.9

.. .. 73.9

.. ..

.. .. 18.5

.. .. 30.3

.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2

2.7 2.354.4 45.3 6.4

.. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. .... .. 125.7.. .. 80.6








Israel

2005 2014 2014


6.9 8.2 1,3982.8 3.7 6899.0 6.1 7.2

21,220 35,320 38,3013.5 3.8 1.8

.. .. 1.6

.. .. 24.5

.. .. 14.9

.. .. 73.91.3 0.5

14.0 16.0 18.540.8 32.3 30.340.7 30.6 29.8

.. 5319 13 15

5 5 6230 235 179

12 10 13.. 2.0 2.0.. 23.6 13.2

14.4 15.73.3 3.1 6.4

.. 4.3.. 0.0.. 17.4.. 34.3.. 55.3.. 33.0

.. .. ..

3.4 2.2 1.718.9 19.4 20.4

.. .. ..

.. .. 65.7

83.4 72.6 ..8.3 7.1 8.02.3 2.2 3.3

77.0 66.9 142.55.5 2.93.5 3.1 ..

34 61 21,2871,712 2,446 336,7886,572 6,559 8,508

.. 0.1117.5 121.5 125.7

25.2 71.5 80.6








Italy

2005 2014 2014


58.0 60.8 1,39824.4 25.8 689

7.7 12.5 7.232,390 34,580 38,301

0.6 -0.8 1.82.2 2.2 1.6

25.8 23.5 24.517.2 15.4 14.971.9 74.3 73.9

2.0 0.28.0 7.2 18.5

24.6 29.6 30.324.8 26.5 29.8

.. 4513 6 15

9 5 6340 269 179

20 19 13.. 1.8 2.0.. 19.5 13.2

84.1 91.92.2 2.3 6.4

.. .... .... .... .... .... ..

.. .. ..

1.1 0.6 1.721.1 16.6 20.4

.. .. ..

.. 134.7 65.7.. .. ..

4.6 5.9 8.07.0 17.3 3.3

71.0 89.4 142.53.4 4.04.9 .. ..

446 243 21,2879,857 11,313 336,7885,731 5,159 8,508

.. ..121.9 154.3 125.7

35.0 62.0 80.6








Jamaica

2005 2014 2014


2.6 2.7 2,3611.2 1.3 1,254

10.9 13.2 5.93,920 5,150 7,926

1.3 0.2 5.75.9 7.0 7.3

25.1 21.5 35.98.9 9.5 21.8

69.0 71.5 56.815.3 8.3

0.1 0.6 20.635.3 31.2 27.755.2 53.4 27.3

.. 648 3 246 2 7

414 358 30919 20 21

.. 1.1 2.6

.. 14.8 17.71.7 1.81.0 1.0 2.9

.. .... .... .... .... .... ..

368 1,102 305,9345.7 4.3 2.8

26.7 22.0 30.9.. .. ..

121.0 .. ..40.4 40.7 49.2

9.3 .. 10.02.9 .. 4.0

21.0 29.3 106.85.3 9.29.9 12.0 6.2

22 1 7,7741,672 1,638 268,5302,484 1,126 3,214

.. ..73.9 107.4 101.412.8 40.5 47.7








Japan

2005 2014 2014


127.8 127.1 1,398

66.6 65.3 6894.4 3.7 7.2

39,140 42,000 38,3010.9 1.4 1.81.2 1.2 1.6

28.1 26.2 24.519.9 18.5 14.970.6 72.6 73.9-0.3 2.723.0 16.7 18.514.3 17.7 30.312.9 20.8 29.8

.. 34

.. 10 15

.. 8 6

.. 330 17911 11 13

.. 0.6 2.0

.. .. 13.280.0 11.9

0.9 0.2 6.4 .. .... .... .... .... .... ..

.. .. ..

0.1 0.2 1.722.3 22.0 20.417.5 17.1 ..

.. 201.1 65.7

191.3 231.9 ..4.8 5.5 8.01.8 1.9 3.3

194.2 187.6 142.53.0 -0.41.4 0.8 ..

652 928 21,28717,055 20,744 336,788

8,213 7,836 8,508.. ..

76.0 120.2 125.766.9 90.6 80.6








Jordan

2005 2014 2014


5.4 6.6 2,3611.4 1.8 1,254

14.9 11.1 5.92,490 5,160 7,926

7.1 2.7 5.73.1 3.8 7.3

28.6 29.8 35.917.9 19.0 21.868.3 66.4 56.8

3.5 2.91.4 1.6 20.6

52.7 43.3 27.794.2 69.2 27.3

.. 11316 12 2410 7 7

136 151 30928 12 21

.. 3.0 2.6

.. 13.1 17.71.8 4.10.6 1.0 2.9

6.7 5.30.9 14.4

.. 20.618.3 26.147.1 13.115.5 6.8

4,411 3,908 305,93415.8 4.9 2.830.6 27.2 30.924.5 23.4 ..

80.0 66.8 ..116.2 96.9 49.2

8.2 12.5 10.06.6 5.6 4.0

88.1 70.2 106.85.5 5.44.7 4.5 6.2

20 38 7,774414 798 268,530

1,682 2,350 3,2140.9 0.2

59.9 147.8 101.412.9 44.0 47.7








Kazakhstan

2005 2014 2014


15.1 17.3 2,3617.9 9.3 1,2548.1 4.1 5.9

2,950 11,850 7,9268.8 6.0 5.76.8 4.7 7.3

40.1 36.0 35.912.8 11.2 21.853.1 59.3 56.8

7.6 6.711.3 37.2 20.653.2 39.1 27.744.6 25.9 27.3

.. 4125 5 24

8 4 7271 188 309

89 79 21.. 1.5 2.6.. 16.2 17.7

20.4 19.62.0 1.7 2.9

3.2 5.5

58.7 22.3.. 34.7

34.2 13.06.7 31.6

11.1 15.0

4,551 3,054 305,934

4.5 3.5 2.828.0 19.9 30.923.4 16.2 ..

13.2 .. ..21.6 28.5 49.2

9.0 13.7 10.03.3 12.4 4.0

35.7 34.1 106.8.. .... .. 6.2

17 71 7,774.. .. 268,530

4,012 4,892 3,214.. 0.5

35.8 172.2 101.43.0 54.9 47.7








Kenya

2005 2014 2014


35.3 44.9 2,87813.1 17.5 1,169

9.5 9.2 5.3530 1,290 2,0184.3 5.8 5.7

27.2 30.3 16.619.1 19.4 31.111.8 11.1 16.853.7 50.4 51.910.3 6.9

2.9 3.8 11.528.5 16.4 25.736.0 33.9 29.5

.. 10854 26 2014 11 7

372 202 30745 26 25

.. 4.5 2.9

.. 29.8 15.87.3 45.40.4 1.8 1.7

5.1 7.2

32.3 17.4.. 59.3

26.0 41.140.5 43.0

9.8 22.1

4,366 3,072 138,623

0.1 1.5 2.118.7 22.6 25.116.2 .. 20.7

.. .. ..

34.2 39.2 48.711.0 14.3 10.625.6 5.5 5.526.3 34.4 41.4

7.6 8.47.8 8.1 7.2

28 97 2,666585 1,010 72,101133 168 7435.8 6.3

12.9 73.8 87.63.1 43.4 22.6








Kiribati

2005 2014 2014


0.09 0.11 2,878

.. .. 1,169

.. .. 5.31,760 2,950 2,018

1.5 2.5 5.723.7 25.6 16.6

7.8 7.7 31.15.5 5.4 16.8

68.5 66.7 51.9.. ..

0.8 0.7 11.514.1 10.8 25.7

123.0 110.8 29.5

.. 149

31 31 207 7 7

120 156 30721 20 25

.. .. 2.9

.. 24.3 15.8

.. 0.0

.. 0.1 1.7 .. .... .... .... .... .... ..

.. .. 138,623

2.5 5.0 2.1.. .. 25.1.. .. 20.7

.. .. .... .. 48.7.. .. 10.6.. .. 5.5.. .. 41.4.. .... .. 7.2

.. .. 2,666.. .. 72,101.. .. 743.. ..

0.7 17.4 87.64.0 12.3 22.6







East Asia & Pacific Low income

Korea, Dem. People’s Rep.

2005 2014 2014


23.8 25.0 62214.3 15.3 271

4.2 4.1 5.7.. .. 628.. .. 6.4.. .. 31.7.. .. 21.7.. .. 8.8.. .. 46.6.. .... .. 5.3.. .. 24.3.. .. 42.7

.. .... .. 27.. .. 8.. .. 267.. .. 36.. .. 3.3.. .. 18.3.. .... .. 0.6 .. .... .... .... .... .... ..

474 .. 7,501.. .. 4.4.. .. 25.1.. .. ..

.. .. .... .. 26.7.. .. .... .. .... .. 20.7.. .... .. ..

2 4 266.. .. ..

810 660 .... ..

0.0 11.2 56.70.0 0.0 6.3








Korea, Rep.

2005 2014 2014


48.1 50.4 1,39824.1 26.4 689

3.7 3.5 7.217,800 27,090 38,301

4.4 3.5 1.83.1 2.3 1.6

37.5 38.2 24.528.3 30.3 14.959.4 59.4 73.9

2.8 1.332.5 26.9 18.536.8 50.6 30.334.4 45.3 29.8

.. 417 4 1510 3 6

290 188 17913 8 13

.. 1.5 2.0

.. 18.2 13.250.3 84.7

1.4 2.3 6.4

0.1 ..21.3 ..

.. ..41.2 ..

3.9 ..17.6 ..

.. .. ..

1.5 0.7 1.730.9 29.1 20.4

.. .. ..

.. .. 65.7

100.4 128.2 ..7.0 8.0 8.01.2 0.6 3.3

114.8 138.5 142.54.5 3.71.9 1.7 ..

221 378 21,28715,113 23,797 336,788

7,804 10,428 8,508.. ..

81.5 115.7 125.773.5 84.3 80.6








Kosovo

2005 2014 2014


1.7 1.8 2,878.. .. 1,169.. .. 5.3

2,510 3,990 2,0185.3 3.2 5.7

13.5 14.3 16.627.1 26.7 31.111.3 12.5 16.859.4 59.0 51.9

.. ..

.. .. 11.512.6 19.6 25.747.8 50.5 29.5

.. 66

.. 11 20

.. 5 7

.. 155 307

.. 15 25

.. 2.0 2.9

.. 9.3 15.80.7 2.10.6 4.3 1.7

.. 13.3.. 9.9.. 65.6.. 56.1.. 58.8.. 32.5

385 689 138,6233.6 2.7 2.1

24.0 23.1 25.115.7 15.7 20.7

.. .. .... .. 48.7.. 10.8 10.6.. 8.3 5.5

17.1 33.7 41.417.8 5.910.9 8.2 7.2

.. .. 2,666.. .. 72,101

2,169 2,917 743.. 10.7.. .. 87.6.. .. 22.6








Kuwait

2005 2014 2014


2.3 3.8 1,3981.1 2.0 6892.0 3.0 7.2

34,600 49,300 38,3017.2 3.5 1.8

.. 0.4 1.6

.. 64.3 24.5

.. 5.4 14.9

.. 35.3 73.94.1 2.90.3 0.1 18.5

64.0 67.9 30.328.3 31.3 29.8

.. 10135 31 1513 12 698 98 17918 15 13

.. 4.2 2.0

.. 0.0 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

.. .. ..

0.3 0.3 1.714.6 .. 20.4

.. .. ..

.. .. 65.7

53.0 69.8 ..13.0 11.3 8.0

4.1 3.5 3.350.9 67.2 142.5

-12.1 8.84.0 2.2 ..

19 28 21,287673 1,278 336,788

17,126 14,911 8,508.. ..

60.2 218.4 125.725.9 78.7 80.6








Kyrgyz Republic

2005 2014 2014


5.2 5.8 2,8782.3 2.7 1,1698.1 8.1 5.3

450 1,250 2,0184.6 4.2 5.7

31.9 17.3 16.622.4 26.7 31.114.4 15.2 16.845.7 56.0 51.9

4.4 7.51.8 5.3 11.5

38.3 36.9 25.756.8 88.1 29.5

.. 6721 10 20

9 4 7222 225 307

64 63 25.. 1.5 2.9.. 6.4 15.8

3.2 4.11.0 1.1 1.7

5.1 12.0

83.8 54.8.. 43.2

23.6 23.314.1 54.614.7 28.0

166 171 138,6231.7 2.8 2.1

16.2 32.1 25.111.4 22.9 20.7

.. .. ..

8.2 18.3 48.721.3 16.2 10.6

6.2 4.5 5.58.0 21.2 41.4

18.2 13.424.9 19.6 7.2

5 17 2,666.. .. 72,101

1,374 1,887 743.. 0.9

10.7 134.5 87.610.5 28.3 22.6








Lao PDR

2005 2014 2014


5.7 6.7 2,8782.7 3.4 1,1691.4 1.4 5.3

460 1,660 2,0187.0 8.1 5.7

36.2 27.7 16.624.6 31.4 31.1

9.9 8.9 16.839.2 40.9 51.9

7.2 4.1.. .. 11.5

34.2 40.5 25.746.5 49.7 29.5

.. 134108 73 20

8 6 7672 362 307

55 23 25.. .. 2.9.. 16.0 15.8.. 0.4.. 0.1 1.7 .. 5.8.. 23.5.. 42.3.. 28.7.. 22.7.. 11.6

6,531 2,975 138,6231.0 6.0 2.1

23.1 30.1 25.114.5 23.5 20.7

.. .. ..

15.8 .. 48.7.. .. 10.6.. .. 5.5

7.4 .. 41.416.7 ..22.1 .. 7.2

9 13 2,666.. .. 72,101.. .. 743.. 2.3

11.4 67.0 87.60.9 14.3 22.6








Latvia

2005 2014 2014


2.2 2.0 1,3981.1 1.0 6898.9 10.0 7.2

7,360 15,250 38,3016.6 2.9 1.84.3 3.3 1.6

22.9 23.4 24.513.0 12.2 14.972.8 73.4 73.9

6.7 0.65.3 15.0 18.5

43.2 59.5 30.357.7 61.8 29.8

.. 2216 6 15

5 4 6280 193 179

13 10 13.. 1.5 2.0.. 6.3 13.2

8.8 14.05.6 10.6 6.4

3.2 5.2

30.0 0.9.. 26.5

45.2 11.123.5 4.9

9.5 19.6

.. .. ..

4.8 2.8 1.731.3 22.9 20.4

.. .. ..

.. 41.6 65.7

34.2 .. ..7.6 10.1 8.00.7 4.6 3.3

64.7 73.2 142.5-4.5 4.63.3 5.8 ..

23 40 21,287236 350 336,788

2,777 3,473 8,508.. 0.3

84.0 116.8 125.746.0 75.8 80.6








Lebanon

2005 2014 2014


4.0 4.5 2,3611.3 1.7 1,2548.2 6.4 5.9

5,740 10,030 7,9265.3 2.6 5.74.0 5.5 7.3

16.1 24.8 35.98.1 14.1 21.8

79.9 69.7 56.8.. 0.7

2.8 2.1 20.637.8 40.0 27.758.6 70.2 27.3

.. 12353 15 24

7 6 7180 183 309

25 22 21.. 3.0 2.6.. 6.1 17.7.. .... .. 2.9 .. 4.1.. 14.6.. 57.1.. 40.2.. 56.0.. 13.1

.. .. 305,934

12.3 6.5 2.822.7 30.8 30.919.0 27.5 ..

.. .. ..

223.2 249.6 49.27.5 7.6 10.0

16.4 4.0 4.070.4 103.3 106.811.9 6.1

2.5 1.4 6.2

12 23 7,774

595 1,210 268,5302,811 3,758 3,214

.. 50.524.9 88.3 101.410.1 74.7 47.7








Lesotho

2005 2014 2014


1.9 2.1 2,8780.79 0.89 1,16936.4 26.2 5.3910 1,330 2,0183.6 4.9 5.79.0 8.0 16.6

33.1 31.9 31.119.4 9.7 16.857.9 60.1 51.9

3.4 5.30.0 0.0 11.5

48.9 40.4 25.7120.9 101.2 29.5

.. 114103 29 20

9 7 7564 324 307

44 31 25.. 2.6 2.9.. 10.8 15.8

0.8 1.90.8 1.6 1.7

.. .... .... .... .... .... ..

45 40 138,6232.0 2.1 2.1

21.1 35.2 25.116.8 14.8 20.7

.. .. ..

25.1 33.8 48.710.2 11.5 10.6

3.0 3.7 5.58.9 21.6 41.45.1 3.57.8 7.6 7.2

.. .. 2,666.. .. 72,101.. .. 743.. ..

13.0 85.0 87.62.6 11.0 22.6








Liberia

2005 2014 2014


3.3 4.4 6221.1 1.6 2714.9 3.8 5.7

120 370 6280.3 6.9 6.4

.. .. 31.7

.. .. 21.7

.. .. 8.8

.. .. 46.610.8 9.8

.. .. 5.359.1 25.0 24.3

211.3 94.9 42.7

.. 179

68 5 2710 4 8

150 140 26720 15 36

.. 3.0 3.3

.. 35.4 18.3

.. ..

.. .. 0.6 .. .... .... .... .... .... ..

565 40 7,50115.1 18.0 4.419.5 19.5 25.111.9 11.9 ..

.. .. ..

13.4 31.7 26.7.. .. .... .. ..

6.6 19.6 20.76.3 10.0

13.6 9.6 ..

.. .. 266.. .. .... .. .... ..

4.9 73.4 56.70.0 5.4 6.3








Libya

2005 2014 2014


5.8 6.3 2,3612.2 2.3 1,254

19.5 19.2 5.96,860 7,820 7,926

5.8 -9.8 5.72.3 .. 7.3

75.5 .. 35.94.7 .. 21.8

22.2 .. 56.82.7 2.6

.. .. 20.663.7 47.0 27.727.1 96.9 27.3

.. 188

.. 35 24

.. 10 7

.. 889 309

.. 23 21

.. .. 2.6

.. 22.0 17.7

.. ..

.. .. 2.9 .. .... .... .... .... .... ..

.. .. 305,934

2.2 0.1 2.815.2 .. 30.9

1.6 .. ..

.. .. ..

18.9 91.0 49.2.. .. 10.0.. .. 4.0

7.4 26.9 106.8-17.5 28.2

4.0 3.5 6.2

13 33 7,774

122 457 268,5303,426 3,923 3,214

.. ..35.7 161.1 101.4

3.9 17.8 47.7








Liechtenstein

2005 2014 2014


0.03 0.04 1,398.. .. 689.. .. 7.2

92,360 .. 38,3012.5 .. 1.8

.. .. 1.638.6 38.3 24.5

.. .. 14.9

.. .. 73.9

.. ..

.. .. 18.5

.. .. 30.3

.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. 0.0.. 1.2 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. ..

79.2 109.3 125.763.4 95.2 80.6








Lithuania

2005 2014 2014


3.3 2.9 1,3981.6 1.5 6898.3 11.3 7.2

7,550 15,410 38,3016.2 3.8 1.84.8 3.4 1.6

32.7 Z30.5 24.520.2 19.3 14.962.5 66.0 73.9

2.6 0.16.2 10.1 18.5

53.9 81.2 30.361.1 79.3 29.8

.. 2026 4 15

8 2 6166 171 179

10 10 13.. 2.3 2.0.. 5.9 13.2

4.5 8.51.9 4.2 6.4

4.6 6.0

35.4 10.9.. 58.0

31.9 25.537.5 42.917.5 18.0

1,279 454 ..3.2 0.7 1.7

23.4 18.9 20.4.. .. ..

.. 43.8 65.7

32.5 .. ..7.6 12.9 8.00.6 8.2 3.3

40.7 11.9 142.5-1.5 ..2.9 .. ..

12 4 21,287321 423 336,788

3,187 3,664 8,508.. 0.2

132.5 147.0 125.736.2 72.1 80.6








Luxembourg

2005 2014 2014


0.47 0.56 1,3980.21 0.27 689

4.5 6.1 7.266,390 75,960 38,301

3.2 2.7 1.80.4 0.3 1.6

16.6 11.9 24.58.9 4.9 14.9

83.0 87.8 73.92.5 0.6

11.9 5.7 18.5161.1 203.3 30.3136.5 170.9 29.8

.. 6129 19 15

6 6 659 55 179

8 8 13.. 2.0 2.0.. 4.2 13.2

1.8 2.25.6 6.1 6.4

.. .... .... .... .... .... ..

.. .. ..

12.6 10.9 1.720.2 18.6 20.4

.. .. ..

3.7 20.1 65.7

.. .. ..5.0 6.5 8.00.2 0.2 3.3

72.6 91.6 142.5.. .... .. ..

42 43 21,287.. .. 336,788

15,644 14,193 8,508.. ..

111.4 149.5 125.770.0 94.7 80.6








Macao SAR, China

2005 2014 2014


0.47 0.58 1,3980.26 0.36 689

4.2 1.5 7.224,080 76,270 38,301

11.9 13.2 1.80.0 0.0 1.6

15.2 6.2 24.54.3 0.7 14.9

84.8 93.8 73.94.4 6.00.7 0.2 18.5

94.6 99.1 30.362.3 44.7 29.8

.. ..

.. .. 15

.. .. 6

.. .. 179

.. .. 13

.. .. 2.0

.. .. 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

.. .. ..

15.1 4.6 1.725.8 18.4 20.4

.. .. ..

.. .. 65.7

140.5 107.5 .... 3.6 8.0.. 0.1 3.3

45.3 76.6 142.51.2 -3.05.5 5.2 ..

24 20 21,287.. .. 336,788.. .. 8,508.. ..

113.8 322.6 125.734.9 69.8 80.6








Macedonia, FYR

2005 2014 2014


2.0 2.1 2,3610.86 0.95 1,25437.3 27.9 5.9

3,010 5,150 7,9263.7 2.0 5.7

11.3 10.2 7.323.7 24.8 35.911.3 12.4 21.864.9 65.0 56.8

0.2 –0.31.1 3.1 20.6

34.8 47.9 27.751.0 65.1 27.3

.. 1248 1 2413 1 7

192 119 30917 12 21

.. 1.8 2.6

.. 10.9 17.78.0 5.55.5 3.7 2.9

9.7 10.3

32.8 2.4.. 55.5

17.3 38.48.5 28.9

14.1 34.8

1,538 254 305,934

2.3 0.5 2.819.2 24.9 30.912.3 17.5 ..

.. .. ..

30.1 54.4 49.213.3 10.8 10.015.0 10.8 4.023.3 49.6 106.8

6.9 5.96.9 3.8 6.2

2 .. 7,774.. .. 268,530

3,403 3,557 3,214.. 1.2

54.1 105.5 101.426.5 68.1 47.7








Madagascar

2005 2014 2014


18.3 23.6 6228.7 12.1 2712.6 3.6 5.7

290 440 6283.6 2.1 6.4

28.3 26.5 31.715.8 15.9 21.714.0 .. 8.855.9 57.6 46.618.5 6.1

0.8 0.6 5.328.2 31.8 24.345.6 42.8 42.7

.. 16442 13 2711 9 8

400 183 26749 22 36

.. 3.0 3.3

.. 16.3 18.3

.. 9.1

.. 0.7 0.6 .. 20.8.. 31.7.. 71.7.. 19.1.. 24.0.. 15.4

557 263 7,5011.7 3.3 4.4

22.2 14.8 25.113.5 11.7 ..

.. .. ..

14.2 17.2 26.76.7 .. ..

10.1 .. ..9.9 13.0 20.77.3 51.48.3 47.6 ..

18 10 266112 182 ..

.. .. ..

.. 6.72.8 41.2 56.70.6 3.7 6.3








Malawi

2005 2014 2014


12.7 16.7 6225.6 7.6 2717.9 7.5 5.7

220 250 6284.5 4.4 6.4

33.1 33.3 31.717.3 17.0 21.7

9.3 11.4 8.849.6 49.6 46.615.4 24.4

3.1 2.5 5.324.0 45.8 24.352.2 56.1 42.7

.. 14137 38 2710 8 8

370 175 26745 34 36

.. 2.6 3.3

.. 20.4 18.30.4 ..0.1 .. 0.6

.. 5.0.. 18.3.. 71.7.. 29.2.. 50.4.. 18.8

314 607 7,5015.1 16.8 4.4

20.2 12.5 25.113.0 6.3 ..

.. .. ..

17.0 28.6 26.7.. .. .... .. ..

7.9 16.2 20.719.9 19.322.2 31.1 ..

5 2 266.. .. .... .. .... 6.7

3.3 33.5 56.70.4 5.8 6.3








Malaysia

2005 2014 2014


25.8 29.9 2,36110.8 13.3 1,254

3.5 2.0 5.95,250 11,120 7,926

5.1 5.6 5.78.3 8.9 7.3

45.9 40.0 35.927.5 22.9 21.845.8 51.2 56.8

3.0 3.154.6 43.9 20.6

112.9 73.8 27.791.0 64.6 27.3

.. 1837 4 2410 3 7

190 118 30913 11 21

.. 1.0 2.6

.. 22.7 17.737.7 49.2

2.2 2.4 2.9

7.8 .... .... ..

49.3 ..10.7 ..54.1 ..

8,477 7,550 305,9342.7 3.1 2.8

22.3 26.0 30.912.2 16.6 ..

42.1 51.6 ..109.2 128.0 49.2

7.6 10.0 10.09.4 1.6 4.0

106.5 120.6 106.8-2.7 2.13.0 1.5 6.2

176 439 7,77412,198 22,719 268,530

2,862 4,512 3,214.. ..

75.6 148.8 101.448.6 67.5 47.7







South Asia Upper middle income

Maldives

2005 2014 2014


0.32 0.40 2,3610.13 0.20 1,25413.5 11.6 5.9

3,560 6,410 7,9268.4 5.5 5.77.8 3.5 7.3

15.3 19.3 35.96.5 5.0 21.8

76.9 77.1 56.81.3 2.10.0 .. 20.6

43.3 108.2 27.777.6 89.3 27.3

.. 1289 9 245 5 70 395 309

21 21 21.. 1.5 2.6.. 13.1 17.7

0.7 ..3.9 .. 2.9

.. .... .... .... .... .... ..

539 46 305,9344.7 11.9 2.8

35.8 .. 30.9.. .. ..

35.2 64.9 ..38.9 51.9 49.2

.. 16.1 10.0

.. 17.6 4.040.4 35.0 106.810.9 8.1

6.5 7.3 6.2

5 .. 7,774

48 84 268,530.. .. 3,214.. ..

68.4 189.4 101.46.9 49.3 47.7








Mali

2005 2014 2014


12.9 17.1 6223.7 5.9 2718.5 8.1 5.7

410 650 6285.3 2.8 6.4

37.6 39.5 31.724.1 22.4 21.7

.. .. 8.838.2 38.1 46.6

6.4 0.95.1 1.2 5.3

25.0 25.8 24.332.9 29.9 42.7

.. 14327 9 2712 5 8

270 270 26744 26 36

.. 3.6 3.3

.. 10.1 18.3

.. ..

.. .. 0.6

2.4 ..31.1 ..72.8 ..

6.7 ..48.4 ..

8.6 ..

837 471 7,5012.9 1.7 4.4

15.4 23.8 25.18.5 12.6 ..

.. .. ..

17.1 25.7 26.7.. .. .... .. ..

16.7 24.5 20.7.. .... .. ..

.. 0 266.. .. .... .. ..

3.0 ..6.4 149.1 56.70.5 7.0 6.3








Malta

2005 2014 2014


0.40 0.43 1,3980.16 0.19 689

7.3 5.9 7.214,390 21,000 38,301

1.8 2.2 1.82.6 .. 1.6

37.8 .. 24.516.1 .. 14.959.5 .. 73.9

3.0 0.352.0 34.4 18.576.8 93.6 30.379.9 88.9 29.8

.. 80

.. 28 15

.. 10 6

.. 139 179

.. 11 13

.. 3.0 2.0

.. 30.1 13.22.4 5.18.6 17.3 6.4

.. .... .... .... .... .... ..

.. .. ..

11.6 4.1 1.722.0 14.3 20.4

.. .. ..

193.5 88.3 65.7137.1 .. ..

7.0 7.2 8.09.0 9.0 3.3

243.0 111.8 142.52.9 2.52.8 .. ..

15 14 21,2871,382 3,003 336,7884,913 4,736 8,508

.. ..78.1 127.0 125.741.2 73.2 80.6








Marshall Islands

2005 2014 2014


0.05 0.05 2,361.. .. 1,254.. .. 5.9

3,570 4,390 7,9261.4 1.7 5.79.3 18.7 7.3

12.1 10.5 35.92.1 1.3 21.8

78.5 70.8 56.8.. .... .. 20.6.. .. 27.7.. .. 27.3

.. 140

17 17 245 5 7

128 128 30923 23 21

.. 2.0 2.6

.. 0.0 17.7

.. ..

.. .. 2.9 .. .... .... .... .... .... ..

.. .. 305,934

2.4 4.8 2.8.. .. 30.9.. .. ..

.. .. .... .. 49.2.. .. 10.0.. .. 4.0.. .. 106.8.. .... .. 6.2

3 .. 7,774.. .. 268,530.. .. 3,214.. ..

1.3 29.4 101.43.9 16.8 47.7








Mauritania

2005 2014 2014


3.2 4.0 2,8780.96 1.3 1,16932.1 31.0 5.3690 1,270 2,0186.1 5.4 5.7

29.8 22.8 16.632.4 35.6 31.1

9.8 8.0 16.837.8 41.6 51.912.1 3.5

.. .. 11.530.7 47.8 25.782.5 70.2 29.5

.. 16882 8 2011 6 7

696 734 30740 31 25

.. .. 2.9

.. 0.0 15.8

.. ..

.. .. 1.7

5.8 17.248.2 20.465.2 78.513.5 29.4

7.5 16.15.9 16.2

367 .. 138,62337.3 9.9 2.159.0 43.3 25.147.7 26.7 20.7

.. .. ..

18.1 20.7 48.7.. 14.7 10.6.. 20.4 5.5

24.7 24.9 41.412.3 24.215.1 11.2 7.2

2 4 2,666.. 85 72,101.. .. 743

3.3 5.323.7 94.2 87.6

0.7 10.7 22.6








Mauritius

2005 2014 2014


1.2 1.3 2,3610.54 0.59 1,254

9.6 7.7 5.95,420 9,630 7,926

3.8 3.5 5.76.0 3.2 7.3

27.6 23.2 35.919.8 16.5 21.866.4 73.6 56.8

4.9 3.21.8 0.0 20.6

59.9 51.5 27.765.9 63.0 27.3

.. 3246 6 24

6 5 7161 152 309

13 10 21.. 1.7 2.6.. 11.7 17.7

6.3 4.67.3 5.1 2.9

.. .... .... .... .... .... ..

63 50 305,9340.7 3.3 2.8

21.4 19.1 30.915.1 14.2 ..

43.1 50.1 ..94.4 95.3 49.2

.. 9.3 10.03.0 4.9 4.0

75.3 100.1 106.816.1 6.513.8 1.7 6.2

15 13 7,774413 654 268,530

1,684 2,148 3,214.. ..

54.2 132.2 101.415.2 41.4 47.7








Mexico

2005 2014 2014


109.7 125.4 2,36144.3 55.6 1,254

3.5 4.9 5.97,720 9,870 7,926

2.2 3.3 5.73.4 3.3 7.3

35.2 34.4 35.917.2 17.7 21.861.5 62.3 56.8

4.0 4.019.6 16.0 20.626.6 32.4 27.728.0 33.5 27.3

.. 38

.. 6 24

.. 6 7

.. 286 30913 12 21

.. 1.8 2.6

.. .. 17.740.4 76.4

0.6 0.9 2.9

20.5 ..9.6 ..

69.7 ..5.9 ..8.3 ..

20.3 ..

38,001 34,745 305,934

2.9 1.9 2.821.3 21.0 30.916.7 16.9 ..

.. .. ..

21.2 29.6 49.28.8 10.8 10.01.5 3.0 4.0

16.2 31.0 106.84.1 -1.16.2 2.7 6.2

331 473 7,7742,144 5,274 268,5301,870 2,057 3,214

0.8 ..42.6 82.2 101.417.2 44.4 47.7








Micronesia, Fed. Sts.

2005 2014 2014


0.11 0.10 2,878.. .. 1,169.. .. 5.3

2,550 3,200 2,018-0.3 -0.4 5.724.4 27.0 16.6

5.7 6.3 31.10.6 0.4 16.8

69.8 66.8 51.9.. .... .. 11.5.. .. 25.7.. .. 29.5

.. 148

16 16 207 7 7

128 128 30730 30 25

.. 5.3 2.9

.. 0.0 15.8

.. ..

.. .. 1.7 .. .... .... .... .... .... ..

.. .. 138,623

0.0 0.3 2.1.. .. 25.1.. .. 20.7

.. .. .... .. 48.7.. .. 10.6.. .. 5.5.. .. 41.4

14.0 11.114.8 15.3 7.2

.. .. 2,666.. .. 72,101.. .. 743.. ..

13.3 30.3 87.611.9 29.7 22.6








Moldova

2005 2014 2014


3.6 3.6 2,8781.4 1.2 1,1697.3 3.4 5.3

890 2,560 2,0185.6 5.0 5.7

19.5 15.0 16.616.3 17.2 31.115.9 14.4 16.864.1 67.8 51.911.8 5.1

4.0 4.8 11.551.1 41.6 25.791.7 78.0 29.5

.. 5230 4 2010 4 7

234 186 30723 23 25

.. 2.8 2.9

.. 9.2 15.84.6 ..1.8 .. 1.7

3.7 6.8

45.2 13.5.. 32.3

33.7 26.630.4 10.5

7.2 18.7

591 119 138,6236.4 4.4 2.1

24.6 24.7 25.122.6 .. 20.7

32.4 24.3 ..29.9 43.4 48.716.7 13.2 10.6

4.4 11.7 5.523.6 37.1 41.4

9.1 4.46.0 5.3 7.2

4 9 2,666.. .. 72,101

2,048 1,353 743.. 0.3

28.9 108.0 87.614.6 46.6 22.6








Monaco

2005 2014 2014


0.03 0.04 1,398.. .. 689.. .. 7.2

128,380 .. 38,3014.2 .. 1.8

.. .. 1.6

.. .. 24.5

.. .. 14.9

.. .. 73.9

.. ..

.. .. 18.5

.. .. 30.3

.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

12 11 21,287.. .. 336,788.. .. 8,508.. ..

50.8 88.5 125.755.5 92.4 80.6








Mongolia

2005 2014 2014


2.5 2.9 2,3611.1 1.3 1,2546.9 4.8 5.9

900 4,280 7,9267.5 11.7 5.7

22.1 15.8 7.336.2 37.2 35.9

6.4 9.9 21.841.7 47.0 56.812.7 13.0

0.1 19.5 20.658.8 53.5 27.763.6 56.0 27.3

.. 5613 6 24

7 5 7204 148 309

44 44 21.. 4.0 2.6.. 10.0 17.7.. 12.5.. 6.3 2.9 .. 19.4.. 19.5.. 48.1.. 44.4.. 93.9.. 15.9

.. 120 305,934

7.3 3.2 2.827.9 24.2 30.925.8 .. ..

50.5 .. ..32.2 45.5 49.2

.. .. 10.0

.. .. 4.027.6 60.7 106.8

8.7 12.317.6 6.7 6.2

5 6 7,774.. .. 268,530

1,252 1,909 3,214.. 1.0

22.1 105.1 101.49.0 27.0 47.7








Montenegro

2005 2014 2014


0.61 0.62 2,3610.25 0.25 1,25419.5 19.1 5.9

3,660 7,320 7,9264.7 1.4 5.7

10.5 10.0 7.320.7 17.7 35.9

9.8 4.8 21.868.8 72.3 56.8

2.9 -0.7.. .. 20.6

43.5 40.1 27.761.1 60.0 27.3

.. 4624 10 2413 6 7

372 314 30914 14 21

.. 1.4 2.6

.. 8.1 17.72.0 2.94.8 6.9 2.9

.. 9.6.. 16.2.. 52.4.. 43.9.. 31.8.. 13.8

696 80 305,9340.0 10.8 2.8

18.0 19.0 30.913.3 13.5 ..

.. .. .... .. 49.2

15.3 14.2 10.05.3 16.8 4.0

.. .. 106.81.9 8.36.1 7.3 6.2

6 7 7,774.. .. 268,530

6,315 5,618 3,214.. 2.6

88.2 163.0 101.427.1 61.0 47.7








Morocco

2005 2014 2014


30.4 33.9 2,87811.1 12.5 1,16911.0 10.2 5.3

1,960 3,070 2,0185.0 3.9 5.7

14.7 13.0 16.628.2 29.3 31.116.6 18.2 16.857.1 57.7 51.9

1.0 0.49.6 5.3 11.5

32.3 34.3 25.737.9 46.6 29.5

.. 7512 10 20

6 4 7358 211 307

17 10 25.. 3.5 2.9.. 25.4 15.8

11.3 34.70.6 1.5 1.7

11.4 4.610.7 28.747.7 47.330.2 49.318.8 13.817.3 18.2

4,500 11,454 138,6232.7 3.3 2.1

27.5 29.4 25.1.. .. 20.7

57.3 58.2 ..70.9 90.3 48.7

7.7 8.9 10.615.7 6.9 5.546.1 68.7 41.4

9.9 ..8.0 .. 7.2

49 71 2,666561 3,070 72,101636 866 7430.7 0.6

41.1 131.7 87.615.1 56.8 22.6








Mozambique

2005 2014 2014


21.1 27.2 6229.8 12.5 271

22.6 22.6 5.7350 600 6288.2 7.1 6.4

25.6 25.2 31.720.9 21.1 21.715.2 9.8 8.853.5 53.7 46.6

7.2 2.68.4 5.6 5.3

30.2 26.2 24.346.2 69.5 42.7

.. 133174 19 27

15 10 8230 217 267

28 21 36.. 1.5 3.3.. 30.8 18.3.. .... .. 0.6

3.3 ..9.8 ..

75.4 ..8.5 ..

12.7 ..18.7 ..

329 1,009 7,5011.6 31.4 4.4

13.2 21.8 25.18.6 .. ..

.. .. ..

20.1 44.0 26.76.6 9.4 ..3.5 3.3 ..

10.1 31.8 20.712.5 10.811.7 6.2 ..

10 21 266209 328 ..438 436 ..1.6 ..7.2 69.8 56.70.9 5.9 6.3








Myanmar

2005 2014 2014


50.0 53.4 2,87826.9 30.2 1,169

3.4 3.3 5.3.. 1,270 2,018.. .. 5.7

48.4 .. 16.616.2 .. 31.111.6 .. 16.835.4 .. 51.9

9.4 5.5.. .. 11.5

0.2 .. 25.70.1 .. 29.5

.. 167

.. 13 20

.. 11 7

.. 188 307

.. 20 25

.. 5.0 2.9

.. 25.3 15.8

.. ..

.. .. 1.7 .. 2.0.. 37.1.. 31.2.. 4.7.. 105.6.. 1.7

556 1,670 138,623.. 2.2 2.1

11.7 .. 25.1.. .. 20.7

.. .. ..

8.1 26.6 48.7.. .. 10.6.. .. 5.5

4.7 13.6 41.411.1 6.0

5.5 5.0 7.2

26 29 2,666

170 245 72,10173 164 743

.. 12.50.3 54.0 87.60.1 2.1 22.6








Namibia

2005 2014 2014


2.0 2.4 2,3610.75 0.90 1,25420.2 18.6 5.9

3,390 5,630 7,9265.3 5.5 5.7

11.3 7.0 7.329.2 31.8 35.913.6 11.6 21.859.5 61.2 56.8

2.3 5.411.5 2.7 20.640.4 39.9 27.740.3 66.1 27.3

.. 10195 66 2410 10 7

339 302 30924 24 21

.. 2.5 2.6

.. 17.2 17.70.7 1.20.6 0.9 2.9

2.9 3.12.6 5.3

33.1 41.719.6 11.8

9.2 20.317.6 8.3

9 97 305,934

2.3 3.8 2.818.6 34.0 30.912.9 26.5 ..

.. 35.5 ..

36.1 50.9 49.27.8 10.3 10.02.3 1.5 4.0

51.8 49.1 106.84.8 1.04.4 4.5 6.2

6 9 7,774

148 131 268,5301,455 1,611 3,214

0.4 0.622.1 113.8 101.4

4.0 14.8 47.7







South Asia Low income

Nepal

2005 2014 2014


25.5 28.2 62213.0 15.6 271

2.3 2.7 5.7310 730 6283.7 4.4 6.4

36.3 33.7 31.717.7 15.6 21.7

8.2 6.5 8.846.0 50.7 46.6

6.8 8.40.1 0.2 5.3

14.6 11.6 24.329.5 41.2 42.7

.. 9931 17 27

7 7 8408 334 267

43 40 36.. 2.0 3.3.. 17.7 18.3

5.5 11.90.4 0.7 0.6

.. 1.4.. 10.4.. 55.7.. 13.7.. 21.3.. 8.2

335 756 7,5010.0 0.0 4.4

19.9 23.0 25.117.0 18.3 ..

51.8 .. ..41.7 73.7 26.7

.. .. ..

.. .. ..28.7 62.6 20.7

1.9 ..5.9 .. ..

6 20 266.. .. ..

78 128 .... 8.7

0.9 81.9 56.70.8 15.4 6.3








Netherlands

2005 2014 2014


16.3 16.9 1,3988.6 9.0 6894.7 6.9 7.2

42,390 51,860 38,3011.7 0.3 1.82.0 1.8 1.6

24.0 21.2 24.514.1 12.1 14.974.0 77.0 73.9

1.7 1.030.9 19.9 18.566.6 82.9 30.357.9 71.5 29.8

.. 289 4 157 4 6

250 123 1797 7 13.. 1.1 2.0.. 20.4 13.2

46.5 58.94.2 5.3 6.4

.. .... .... .... .... .... ..

.. .. ..

30.9 5.5 1.720.6 18.2 20.4

.. .. ..

48.3 68.3 65.7

.. .. ..3.0 5.4 8.01.2 3.1 3.3

117.5 116.5 142.50.8 0.20.4 -1.1 ..

241 305 21,2879,472 12,513 336,7886,988 6,821 8,508

.. ..97.1 116.4 125.781.0 93.2 80.6








New Caledonia

2005 2014 2014


0.23 0.27 1,3980.10 0.12 689

.. .. 7.2

.. .. 38,301

.. .. 1.8

.. .. 1.6

.. .. 24.5

.. .. 14.9

.. .. 73.9

.. ..0.5 13.1 18.5

.. .. 30.3

.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287

83 116 336,788.. .. 8,508.. ..

58.7 93.6 125.732.4 70.0 80.6








New Zealand

2005 2014 2014


4.1 4.5 1,3982.2 2.4 6893.8 5.6 7.2

25,490 41,070 38,3012.9 2.3 1.84.9 6.9 1.6

25.8 23.4 24.515.7 12.1 14.969.3 69.7 73.9

3.0 0.910.2 9.1 18.528.2 29.2 30.329.6 27.4 29.8

.. 212 1 15

2 1 6172 152 179

10 10 13.. 1.3 2.0.. 30.0 13.2

64.8 49.223.6 16.6 6.4

.. .... .... .... .... .... ..

.. .. ..

1.7 2.2 1.724.7 23.2 20.4

.. .. ..

44.0 60.2 65.776.6 .. ..

5.3 7.4 8.00.3 0.9 3.3

120.3 .. 142.55.6 3.61.1 1.8 ..

209 199 21,2871,603 3,251 336,7889,674 9,084 8,508

.. ..85.4 112.1 125.762.7 85.5 80.6








Nicaragua

2005 2014 2014


5.4 6.0 2,8782.1 2.7 1,1695.6 5.3 5.3

1,180 1,870 2,0183.4 4.9 5.7

18.6 20.5 16.624.1 25.7 31.115.6 15.4 16.857.3 53.8 51.9

9.6 6.05.2 0.4 11.5

24.4 42.3 25.747.3 59.3 29.5

.. 12540 13 20

8 6 7240 207 307

38 21 25.. 2.2 2.9.. 21.9 15.8.. .... .. 1.7

9.3 ..2.6 ..

73.4 ..37.9 ..62.7 ..18.7 ..

1,070 1,338 138,6233.8 7.5 2.1

23.5 27.2 25.119.4 21.1 20.7

.. .. ..

27.9 32.7 48.77.3 .. 10.68.0 .. 5.5

22.6 34.1 41.42.0 4.18.1 12.5 7.2

.. .. 2,666

61 101 72,101417 598 7439.3 ..

20.5 114.6 87.62.6 17.6 22.6








Niger

2005 2014 2014


13.5 19.1 6224.4 6.1 2715.1 5.1 5.7

250 410 6284.1 6.7 6.4

24.7 36.7 31.715.4 19.5 21.7

6.1 6.2 8.859.9 43.6 46.6

7.8 -0.911.2 57.1 5.316.6 17.8 24.330.8 36.7 42.7

.. 16035 15 2713 6 8

270 270 26759 56 36

.. 5.0 3.3

.. 21.2 18.30.0 ..0.0 .. 0.6

11.5 ..17.0 ..

.. ..26.4 ..20.6 ..

4.8 ..

359 239 7,5011.5 9.4 4.4

21.4 40.3 25.114.5 28.0 ..

.. .. ..

7.7 14.8 26.7.. .. .... .. ..

6.8 14.2 20.7.. .... .. ..

.. 1 266.. .. ..

37 49 ..20.7 ..

2.5 44.4 56.70.2 2.0 6.3








Nigeria

2005 2014 2014


139.6 177.5 2,87843.3 55.8 1,169

7.6 7.5 5.3660 2,970 2,01810.0 5.5 5.732.8 20.2 16.643.5 24.2 31.1

2.8 9.8 16.823.7 55.5 51.917.9 8.1

7.8 2.1 11.531.7 18.4 25.719.1 12.5 29.5

.. 169

.. 31 20

.. 9 7

.. 908 30741 23 25

.. 2.0 2.9

.. .. 15.829.0 71.9

0.4 0.8 1.7

6.1 7.522.9 25.960.1 46.2

4.3 16.97.5 9.48.5 7.1

20,314 12,150 138,6234.4 0.8 2.15.5 15.1 25.1

.. .. 20.7

28.6 10.4 ..13.9 18.5 48.716.0 10.4 10.618.1 3.0 5.513.2 14.5 41.4-3.3 11.47.4 7.2 7.2

10 66 2,666513 1,062 72,101129 142 74325.2 32.813.3 77.8 87.6

3.5 42.7 22.6








Northern Mariana Islands

2005 2014 2014


0.06 0.05 1,398.. .. 689.. .. 7.2.. .. 38,301.. .. 1.8.. .. 1.6.. .. 24.5.. .. 14.9.. .. 73.9.. .... .. 18.5.. .. 30.3.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. ..

31.0 .. 125.7.. .. 80.6








Norway

2005 2014 2014


4.6 5.1 1,3982.4 2.7 6894.6 3.4 7.2

63,790 103,620 38,3012.0 1.5 1.81.6 1.7 1.6

42.6 38.2 24.59.1 7.8 14.9

55.8 60.1 73.91.5 2.0

16.1 20.7 18.543.4 38.3 30.327.4 29.6 29.8

.. 98 4 155 4 6

87 83 1798 8 13.. 0.9 2.0.. 23.6 13.2

20.5 25.96.8 7.7 6.4

.. .... .... .... .... .... ..

.. .. ..

3.4 2.1 1.720.3 23.7 20.4

.. .. ..

35.4 21.0 65.750.3 .. ..

7.0 6.8 8.00.7 1.1 3.3

79.6 .. 142.5-4.3 ..2.2 .. ..

254 .. 21,287329 379 336,788

25,083 23,326 8,508.. ..

102.8 116.1 125.782.0 96.3 80.6








Oman

2005 2014 2014


2.5 4.2 1,3980.91 2.2 689

7.8 7.2 7.210,640 16,870 38,301

2.8 3.5 1.81.6 1.3 1.6

63.5 65.3 24.58.6 9.3 14.9

34.8 33.4 73.91.9 1.00.3 4.3 18.5

58.3 68.8 30.331.1 46.6 29.8

.. 7035 7 1510 5 652 68 17914 10 13

.. 4.0 2.0

.. 11.0 13.21.4 2.70.9 1.0 6.4

.. .... .... .... .... .... ..

.. .. ..

4.9 0.9 1.722.0 28.0 20.4

.. .. ..

8.5 .. 65.7

26.7 38.3 ..13.9 11.7 8.0

7.0 2.0 3.330.6 46.5 142.5

-12.6 3.33.8 3.1 ..

32 48 21,2872,749 3,620 336,7883,931 5,981 8,508

.. ..52.9 157.8 125.7

6.7 70.2 80.6








Pakistan

2005 2014 2014


153.4 185.0 2,87849.9 65.4 1,169

7.1 5.2 5.3740 1,400 2,0185.1 3.4 5.7

21.5 25.0 16.627.1 20.9 31.118.6 13.9 16.851.4 54.1 51.9

9.1 7.21.4 1.4 11.5

15.7 12.3 25.719.6 18.7 29.5

.. 138

.. 19 20

.. 10 7

.. 594 30731 21 25

.. 2.7 2.9

.. .. 15.83.9 4.80.0 0.0 1.7

1.9 3.5

58.8 28.812.5 46.5

4.6 8.6106.3 82.8

9.6 35.8

21,391 4,773 138,623

2.0 0.7 2.117.5 13.4 25.113.1 10.0 20.7

.. .. ..

37.9 31.4 48.77.6 10.0 10.69.0 12.3 5.5

28.6 15.6 41.4.. .... .. 7.2

49 48 2,6661,686 2,597 72,101

465 450 74331.7 75.2

8.1 73.3 87.66.3 13.8 22.6








Palau

2005 2014 2014


0.02 0.02 2,361.. .. 1,254.. .. 5.9

9,410 11,110 7,9260.4 3.9 5.74.4 4.1 7.3

16.8 8.7 35.90.9 1.1 21.8

78.8 87.2 56.8.. .... 20.2 20.6

42.7 63.1 27.771.7 87.8 27.3

.. 13624 28 24

7 8 7128 142 309

29 26 21.. 2.0 2.6.. 65.8 17.7.. .... .. 2.9 .. .... .... .... .... .... ..

.. .. 305,934

2.1 15.9 2.8.. .. 30.9.. .. ..

.. .. .... .. 49.2.. .. 10.0.. .. 4.0.. .. 106.8.. .... .. 6.2

.. .. 7,774.. .. 268,530.. .. 3,214.. ..

30.4 90.6 101.427.0 .. 47.7








Panama

2005 2014 2014


3.3 3.9 2,3611.5 1.8 1,2549.8 4.3 5.9

4,530 11,130 7,9266.8 8.7 5.77.0 3.5 7.3

16.6 22.1 35.97.4 5.8 21.8

76.5 74.4 56.83.2 2.61.0 0.2 20.6

75.5 79.8 27.769.1 75.0 27.3

.. 6918 6 24

6 5 7560 417 309

10 10 21.. 2.5 2.6.. 12.4 17.7

40.3 34.518.9 14.1 2.9

10.3 ..

7.7 ..40.1 ..39.4 ..10.2 ..14.7 ..

2,156 3,008 305,9347.1 11.3 2.8

16.8 26.5 30.914.4 .. ..

.. .. ..

73.8 73.0 49.213.1 10.0 10.0

2.9 2.2 4.087.1 88.3 106.8

6.8 4.76.0 4.7 6.2

30 126 7,7743,064 7,942 268,5301,460 2,038 3,214

3.1 ..52.0 158.1 101.411.5 44.9 47.7








Papua New Guinea

2005 2014 2014


6.1 7.5 2,8782.7 3.4 1,1692.7 2.5 5.3

700 2,240 2,0183.8 8.1 5.7

37.8 .. 16.638.9 .. 31.1

7.0 .. 16.823.3 .. 51.9

1.8 5.260.9 3.5 11.572.2 .. 25.758.9 .. 29.5

.. 14552 53 20

6 6 7206 207 307

23 23 25.. 3.0 2.9.. 23.2 15.8.. .... .. 1.7 .. .... .... .... .... .... ..

150 .. 138,6230.7 -0.2 2.1

18.1 .. 25.1.. .. 20.7

69.7 .. ..30.6 41.4 48.7

.. .. 10.6

.. .. 5.514.1 31.0 41.4-0.6 -1.410.6 9.0 7.2

20 34 2,666282 382 72,101

.. .. 743

.. ..1.2 44.9 87.61.7 9.4 22.6








Paraguay

2005 2014 2014


5.8 6.6 2,3612.6 3.2 1,2545.8 4.5 5.9

1,230 4,400 7,9263.2 6.3 5.7

19.6 20.5 7.334.8 28.8 35.912.9 12.0 21.845.7 50.6 56.8

6.8 5.07.2 6.1 20.6

58.2 46.8 27.746.0 43.0 27.3

.. 10072 35 2417 7 7

328 378 30936 29 21

.. 3.9 2.6

.. 9.6 17.7

.. ..

.. .. 2.9

7.9 ..24.5 ..76.7 ..25.8 ..27.2 ..

7.1 ..

693 659 305,9340.1 1.7 2.8

16.6 15.9 30.918.4 17.0 ..

.. .. ..

16.4 30.3 49.29.9 9.7 10.06.5 1.8 4.0

15.1 49.9 106.818.0 15.328.2 16.9 6.2

10 5 7,774.. 11 268,530

864 1,473 3,2141.8 ..

32.0 105.6 101.47.9 43.0 47.7








Peru

2005 2014 2014


27.6 31.0 2,36112.9 17.0 1,254

5.2 4.2 5.92,540 6,360 7,926

5.9 5.9 5.77.8 7.4 7.3

37.0 36.8 35.917.7 14.9 21.855.2 55.8 56.8

1.6 3.23.2 3.8 20.6

26.6 22.4 27.720.3 23.9 27.3

.. 50104 26 24

10 6 7424 260 309

22 12 21.. 3.1 2.6.. 22.7 17.7

23.3 48.81.4 2.4 2.9

13.5 ..

1.6 ..64.1 ..60.9 ..81.6 ..14.6 ..

10,231 21,875 305,9343.4 3.9 2.8

17.4 25.9 30.914.3 20.3 ..

32.8 19.2 ..24.1 35.4 49.2

9.2 10.7 10.06.3 4.0 4.0

19.7 34.0 106.822.9 12.322.9 13.4 6.2

61 118 7,774992 2,235 268,530837 1,270 3,2140.2 ..

20.1 103.6 101.417.1 40.2 47.7








Philippines

2005 2014 2014


86.1 99.1 2,87835.1 43.8 1,169

7.7 7.1 5.31,520 3,500 2,018

4.9 6.1 5.712.7 11.3 16.633.8 31.4 31.124.1 20.6 16.853.5 57.3 51.9

6.5 4.170.8 49.0 11.546.1 28.7 25.751.7 32.4 29.5

.. 10347 29 2017 16 7

195 193 30717 15 25

.. 2.7 2.9

.. 20.3 15.813.5 16.1

0.3 0.3 1.7 .. .... .... .... .... .... ..

19,509 10,217 138,6231.6 2.2 2.1

19.9 20.8 25.117.8 18.3 20.7

73.9 51.5 ..53.5 63.4 48.711.7 9.9 10.610.0 2.0 5.529.1 39.2 41.4

4.1 2.24.6 4.3 7.2

59 225 2,6663,634 5,869 72,101

578 692 743.. ..

40.5 111.2 87.65.4 39.7 22.6








Poland

2005 2014 2014


38.2 38.0 1,39817.5 18.3 68917.7 9.2 7.2

7,330 13,680 38,3014.3 2.8 1.83.3 3.4 1.6

32.1 32.6 24.518.4 18.4 14.964.6 64.0 73.9

2.1 0.13.8 8.7 18.5

34.9 47.4 30.335.9 46.2 29.8

.. 2546 30 1510 4 6

420 271 17917 15 13

.. 3.0 2.0

.. 14.5 13.213.0 ..

0.5 .. 6.4

2.9 19.730.4 2.0

.. 29.128.0 32.7

9.4 65.819.6 33.0

.. .. ..

3.6 3.2 1.718.6 19.6 20.415.7 15.2 ..

46.8 55.6 65.737.2 53.7 ..

7.8 8.9 8.011.0 4.8 3.327.3 52.2 142.5

4.1 ..4.0 .. ..

79 81 21,287428 2,052 336,788

3,437 3,938 8,508.. 0.2

76.3 148.9 125.738.8 66.6 80.6








Portugal

2005 2014 2014


10.5 10.4 1,3985.5 5.4 6897.6 14.2 7.2

18,550 21,360 38,3010.8 -1.3 1.82.6 2.3 1.6

24.6 21.5 24.514.5 13.3 14.972.7 76.1 73.9

2.3 -0.38.9 4.4 18.5

26.7 40.0 30.335.8 39.7 29.8

.. 2348 3 1511 3 6

328 275 17920 15 13

.. 2.0 2.0

.. 13.6 13.225.8 31.9

3.7 4.6 6.4

1.1 ..52.1 ..

.. ..20.3 ..

5.7 ..12.7 ..

.. .. ..

2.2 5.4 1.723.1 14.9 20.4

.. .. ..

.. 138.0 65.7.. .. ..

6.2 7.7 8.01.5 11.9 3.3

124.7 129.5 142.5.. .... .. ..

149 155 21,287905 2,857 336,788

4,683 4,685 8,508.. ..

108.9 112.1 125.735.0 64.6 80.6








Puerto Rico

2005 2014 2014


3.8 3.5 1,3981.5 1.2 689

11.5 14.3 7.214,750 19,310 38,301

0.3 -2.0 1.80.6 0.8 1.6

87.1 95.5 24.542.4 46.7 14.912.3 3.7 73.9

.. ..

.. .. 18.581.7 75.5 30.364.4 54.7 29.8

.. 577 6 157 6 6

140 218 17915 15 13

.. 2.5 2.0

.. 25.9 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7

14.2 9.5 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287

1,727 .. 336,788.. .. 8,508.. ..

53.0 87.1 125.723.4 78.8 80.6








Qatar

2005 2014 2014


0.84 2.2 1,3980.51 1.6 689

1.1 0.3 7.239,560 92,200 38,301

13.5 8.6 1.80.1 0.1 1.6

74.5 67.9 24.59.9 10.1 14.9

25.4 32.0 73.98.8 3.10.0 0.0 18.5

65.1 69.1 30.329.7 30.5 29.8

.. 687 9 157 8 6

36 41 17921 15 13

.. 2.8 2.0

.. 0.0 13.21.4 3.32.2 1.7 6.4

.. .... .... .... .... .... ..

.. .. ..

5.6 0.5 1.734.3 32.4 20.4

.. .. ..

.. .. 65.7

46.9 64.6 .... .. 8.0.. 1.7 3.3

33.7 45.2 142.5-18.3 4.9

3.5 3.6 ..

46 152 21,287

350 446 336,78815,984 15,471 8,508

.. ..87.3 145.8 125.724.7 91.5 80.6








Romania

2005 2014 2014


21.3 19.9 2,3619.9 9.5 1,2547.2 7.0 5.9

3,930 9,520 7,9265.8 1.5 5.79.5 5.4 7.3

28.2 27.3 35.923.8 21.5 21.862.3 67.4 56.8

9.0 1.13.8 6.4 20.6

32.9 41.1 27.743.0 41.0 27.3

.. 3711 8 24

5 5 7190 159 309

28 13 21.. 3.3 2.6.. 10.9 17.7

92.3 56.46.1 4.1 2.9

1.1 15.8

27.4 6.8.. 34.6

36.0 41.323.6 51.818.2 34.4

13,938 6,863 305,9346.9 1.9 2.8

24.3 22.0 30.921.3 17.3 ..

.. 41.5 ..

24.7 33.3 49.210.7 7.4 10.0

1.4 13.9 4.019.8 31.2 106.8

6.7 6.613.2 5.4 6.2

39 42 7,774771 776 268,530

2,365 2,495 3,214.. 1.4

60.4 105.9 101.421.5 54.1 47.7








Russian Federation

2005 2014 2014


143.5 143.8 1,39875.4 76.8 689

7.1 5.1 7.24,450 13,220 38,301

6.0 2.9 1.85.0 4.2 1.6

38.1 35.8 24.518.3 15.6 14.957.0 60.0 73.912.7 7.8

8.4 11.5 18.535.2 30.0 30.321.5 22.9 29.8

.. 51

.. 11 15

.. 4 6

.. 168 17924 21 13

.. 2.0 2.0

.. .. 13.2381.0 427.4

3.7 4.2 6.4

5.2 14.759.3 7.3

.. 30.222.3 21.318.2 120.411.3 12.6

76,438 48,986 ..2.0 1.2 1.7

17.8 20.6 20.414.0 18.3 ..

16.7 13.6 65.723.9 50.1 ..12.1 8.5 8.0

2.6 6.7 3.325.9 59.3 142.5-7.2 3.76.7 5.1 ..

391 748 21,2871,804 3,903 336,7885,770 6,539 8,508

.. 0.383.4 155.1 125.715.2 70.5 80.6








Rwanda

2005 2014 2014


9.0 11.3 6224.4 5.7 2710.6 0.6 5.7

270 700 6287.7 7.2 6.4

38.4 33.1 31.711.8 14.4 21.7

5.6 4.8 8.849.8 52.5 46.6

9.0 1.825.3 11.9 5.311.5 14.9 24.325.2 30.5 42.7

.. 6218 6 27

9 7 8168 109 267

60 26 36.. 2.5 3.3.. 25.8 18.3

0.4 10.00.1 1.5 0.6

5.9 5.24.9 4.5

47.1 56.732.5 43.918.2 31.410.8 11.7

541 268 7,5010.4 3.7 4.4

15.8 25.3 25.17.7 8.4 ..

.. .. ..

14.2 .. 26.79.4 13.7 ..

29.0 5.2 ..11.2 .. 20.7

4.0 ..8.1 .. ..

.. 12 266.. .. .... .. ..

9.9 4.02.4 64.0 56.70.6 10.6 6.3








Samoa

2005 2014 2014


0.18 0.19 2,8780.05 0.05 1,169

.. .. 5.32,370 4,060 2,018

3.6 1.2 5.7.. .. 16.6.. .. 31.1.. .. 16.8.. .. 51.9

1.9 –0.48.7 1.7 11.5

28.4 28.2 25.749.4 52.5 29.5

.. 9635 9 20

8 4 7224 224 307

24 21 25.. 2.0 2.9.. 11.3 15.8

0.1 0.10.8 1.0 1.7

.. .... .... .... .... .... ..

.. .. 138,623

0.8 2.9 2.1.. .. 25.1.. .. 20.7

.. .. ..

34.5 40.8 48.7.. 17.1 10.6.. 8.3 5.5

34.9 74.9 41.410.5 9.7

7.1 7.0 7.2

11 .. 2,666

.. .. 72,101

.. .. 743

.. ..13.3 55.5 87.6

3.4 21.2 22.6








San Marino

2005 2014 2014


0.03 0.03 1,398.. .. 689.. .. 7.2

41,830 .. 38,3013.2 .. 1.8

.. .. 1.6

.. .. 24.5

.. .. 14.9

.. .. 73.9

.. ..

.. .. 18.5

.. .. 30.3

.. .. 29.8

.. 76.. 17 15.. 8 6.. 52 179.. 15 13.. 2.3 2.0.. 10.2 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

51.1 .. 65.7.. .. .... 6.2 8.0.. 43.1 3.3.. .. 142.5

5.2 ..5.8 4.8 ..

.. .. 21,287.. .. 336,788.. .. 8,508.. ..

57.6 118.8 125.750.3 49.6 80.6








São Tomé and Príncipe

2005 2014 2014


0.15 0.19 2,8780.05 0.07 1,169

.. .. 5.3780 1,670 2,0185.6 4.5 5.7

18.4 23.2 16.615.0 10.3 31.1

5.4 3.8 16.866.6 66.5 51.917.2 7.0

7.7 0.8 11.5.. .. 25.7.. .. 29.5

.. 166

144 5 2010 3 7

424 424 30727 26 25

.. 6.2 2.9

.. 20.2 15.8

.. 0.3

.. 3.0 1.7 .. .... .... .... .... .... ..

.. .. 138,623

12.4 8.0 2.1.. .. 25.1.. .. 20.7

.. .. ..

27.0 36.5 48.7.. .. 10.6.. .. 5.5

24.0 28.3 41.410.0 9.619.1 12.5 7.2

1 .. 2,666.. .. 72,101.. .. 743.. ..

7.7 64.9 87.613.8 24.4 22.6








Saudi Arabia

2005 2014 2014


24.7 30.9 1,3988.3 12.1 6895.9 5.6 7.2

12,460 25,140 38,3015.9 5.4 1.83.2 1.9 1.6

62.1 56.4 24.59.5 10.7 14.9

34.7 40.7 73.90.7 2.70.7 0.7 18.5

57.1 47.0 30.324.9 33.9 29.8

.. 8270 19 1517 12 669 64 17917 13 13

.. .. 2.0

.. 2.2 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

.. .. ..

3.7 1.1 1.719.3 25.3 20.4

.. .. ..

.. .. 65.7

17.9 35.0 ..8.8 13.8 8.01.9 1.1 3.3

35.4 44.4 142.5.. .... .. ..

116 253 21,2873,733 6,327 336,7886,367 8,741 8,508

.. ..57.4 179.6 125.712.7 63.7 80.6








Senegal

2005 2014 2014


11.3 14.7 2,8784.8 6.3 1,1699.2 10.0 5.3

770 1,050 2,0184.3 3.6 5.7

16.8 15.8 16.623.6 23.5 31.115.0 13.1 16.859.6 60.7 51.9

1.7 –1.18.3 3.6 11.5

27.0 27.4 25.742.4 46.3 29.5

.. 15357 6 2011 4 7

696 620 30721 12 25

.. 3.0 2.9

.. 18.4 15.81.0 2.40.2 0.3 1.7

2.9 3.0

18.7 7.374.1 76.4

9.6 19.69.4 24.86.1 9.3

2,199 1,233 138,6231.9 2.2 2.1

23.3 26.3 25.117.4 19.9 20.7

.. .. ..

25.4 36.0 48.77.6 9.8 10.6

11.9 20.3 5.523.2 33.2 41.4

.. ..

.. .. 7.2

6 4 2,666

424 450 72,101158 219 74311.5 6.015.4 98.8 87.6

4.8 17.7 22.6








Serbia

2005 2014 2014


7.4 7.1 2,3613.3 3.1 1,254

20.8 22.2 5.93,630 5,820 7,926

5.5 0.5 5.712.0 9.7 7.329.3 29.8 35.917.3 19.1 21.858.7 60.5 56.816.1 2.1

3.2 .. 20.627.1 44.3 27.747.1 54.3 27.3

.. 5923 12 2411 6 7

279 244 30933 12 21

.. 2.0 2.6

.. 16.0 17.710.2 8.0

2.0 1.6 2.9

6.9 13.259.6 3.7

.. 37.529.9 38.417.7 57.914.1 32.5

3,024 729 305,9347.8 4.6 2.8

20.1 17.2 30.9.. .. ..

.. .. ..

22.7 43.6 49.216.2 20.7 10.023.8 21.5 4.027.9 43.8 106.8

2.2 12.713.1 8.0 6.2

17 32 7,774.. .. 268,530

3,922 4,444 3,214.. 0.6

67.0 122.1 101.426.3 53.5 47.7







Sub-Saharan Africa High income

Seychelles

2005 2014 2014


0.08 0.09 1,398.. .. 689.. .. 7.2

11,140 14,120 38,3012.4 6.2 1.83.3 2.3 1.6

16.4 12.3 24.58.7 7.2 14.9

63.2 71.1 73.90.9 1.4

19.2 .. 18.578.3 83.1 30.3

100.0 98.2 29.8

.. 95

33 32 1510 9 676 85 17917 16 13

.. 2.0 2.0

.. 18.8 13.2

.. ..

.. .. 6.4 .. .... .... .... .... .... ..

15 0.8 ..8.8 7.6 1.7

30.4 37.3 20.422.8 31.0 ..

.. 73.0 65.7

80.5 60.0 ..6.7 8.3 8.04.4 8.0 3.3

24.9 23.6 142.59.3 8.26.0 9.3 ..

20 15 21,287.. .. 336,788.. .. 8,508.. ..

67.5 162.2 125.725.4 54.3 80.6








Sierra Leone

2005 2014 2014


5.1 6.3 6221.9 2.4 2713.4 3.3 5.7

320 700 6287.2 11.0 6.4

52.5 56.0 31.712.0 15.6 21.7

2.6 1.7 8.835.6 28.3 46.612.1 7.331.1 0.0 5.317.8 .. 24.329.7 .. 42.7

.. 14726 10 27

8 6 8390 344 267

31 25 36.. 2.3 3.3.. 18.8 18.3

0.5 1.10.2 0.3 0.6

.. .... .... .... .... .... ..

281 74 7,5015.6 14.3 4.4

11.5 .. 25.16.5 .. ..

.. .. ..

10.0 16.3 26.720.0 12.0 ..26.8 33.4 ..

3.4 4.9 20.76.8 19.6

12.8 12.8 ..

0 2 266.. .. .... .. .... ..

14.3 76.7 56.70.2 2.1 6.3








Singapore

2005 2014 2014


4.3 5.5 1,3982.2 3.1 6894.1 3.0 7.2

28,370 55,150 38,3016.0 5.8 1.80.1 0.0 1.6

32.4 24.9 24.527.8 18.4 14.967.6 75.0 73.9

0.4 1.056.9 47.2 18.5

226.1 187.6 30.3196.3 163.2 29.8

.. 16 3 156 3 6

49 84 1796 6 13.. 0.8 2.0.. 2.0 13.2

18.7 38.36.0 9.5 6.4

.. .... .... .... .... .... ..

.. .. ..

14.2 21.9 1.723.1 25.4 20.4

.. .. ..

95.3 109.7 65.799.8 126.7 ..

9.6 8.4 8.03.8 0.8 3.3

89.5 131.5 142.53.0 5.14.9 5.2 ..

77 189 21,28723,192 34,832 336,788

8,678 8,840 8,508.. ..

97.5 146.9 125.761.0 82.0 80.6








Sint Maarten (Dutch part)

2005 2014 2014


0.04 0.04 1,398.. .. 689.. .. 7.2.. .. 38,301.. .. 1.8.. .. 1.6.. .. 24.5.. .. 14.9.. .. 73.9.. .... .. 18.5.. .. 30.3.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. .... .. 125.7.. .. 80.6








Slovak Republic

2005 2014 2014


5.4 5.4 1,3982.7 2.7 689

16.2 13.3 7.211,280 17,750 38,301

5.8 2.4 1.83.6 4.4 1.6

36.1 33.6 24.523.6 20.9 14.960.3 62.0 73.9

2.7 –0.17.4 10.2 18.5

72.3 91.9 30.376.9 88.2 29.8

.. 2927 12 15

9 6 6325 188 179

22 16 13.. 4.0 2.0.. 10.5 13.2

11.8 12.03.1 3.1 6.4

2.5 8.2

31.3 2.5.. 42.8

34.0 40.27.4 39.1

12.3 42.9

.. .. ..

4.8 0.1 1.727.4 20.9 20.4

.. .. ..

36.4 63.2 65.748.2 .. ..

7.0 11.9 8.05.0 5.3 3.3

34.5 50.2 142.54.1 ..4.2 .. ..

14 1 21,287.. .. 336,788

4,933 5,202 8,508.. 0.5

84.2 116.9 125.755.2 80.0 80.6








Slovenia

2005 2014 2014


2.0 2.1 1,3981.0 1.0 6896.5 9.5 7.2

18,440 23,580 38,3013.7 –0.2 1.82.6 2.2 1.6

34.1 33.1 24.523.6 23.1 14.963.3 64.7 73.9

2.5 0.24.9 5.8 18.5

59.6 76.5 30.360.2 68.7 29.8

.. 2960 6 15

9 2 6260 245 179

20 16 13.. 0.8 2.0.. 12.7 13.2

3.3 6.22.4 4.4 6.4

2.4 10.1

14.0 0.3.. 26.5

42.7 36.212.7 63.330.5 22.5

.. .. ..

2.7 2.1 1.726.6 19.6 20.4

.. .. ..

.. .. 65.7

12,640.1 .. ..8.5 .. 8.02.5 11.7 3.3

52.1 55.0 142.56.2 ..4.6 .. ..

18 17 21,287306 647 336,788

6,918 6,833 8,508.. 0.2

87.9 112.1 125.746.8 71.6 80.6








Solomon Islands

2005 2014 2014


0.47 0.57 2,8780.18 0.23 1,169

3.6 3.9 5.3900 1,830 2,0183.9 6.0 5.7

34.5 .. 16.68.1 .. 31.15.7 .. 16.8

57.4 .. 51.97.3 5.2

.. 0.0 11.534.1 56.4 25.754.6 66.8 29.5

.. 11255 9 20

7 7 780 80 30724 22 25

.. 1.0 2.9

.. 23.3 15.8

.. ..

.. .. 1.7 .. .... .... .... .... .... ..

.. .. 138,623

0.1 1.8 2.112.5 .. 25.1

.. .. 20.7

.. .. ..

25.7 35.7 48.7.. .. 10.6.. .. 5.5

20.6 36.5 41.48.4 2.0

13.4 10.7 7.2

12 12 2,666

.. .. 72,101

.. .. 743

.. ..1.3 65.8 87.60.8 9.0 22.6








Somalia

2005 2014 2014


8.5 10.5 6222.5 3.1 2716.9 6.9 5.7

.. .. 628

.. .. 6.4

.. .. 31.7

.. .. 21.7

.. .. 8.8

.. .. 46.6

.. ..

.. .. 5.3

.. 14.4 24.3

.. 61.0 42.7

.. .... .. 27.. .. 8.. .. 267.. .. 36.. .. 3.3.. .. 18.3.. .... .. 0.6 .. .... .... .... .... .... ..

1 10 7,501.. 1.8 4.4.. 7.9 25.1.. .. ..

.. .. .... .. 26.7.. .. .... .. .... .. 20.7.. .... .. ..

.. 3 266.. .. .... .. .... ..

5.9 50.9 56.71.1 1.6 6.3








South Africa

2005 2014 2014


47.3 54.0 2,36117.3 20.0 1,25423.8 25.1 5.9

5,050 6,800 7,9264.0 2.5 5.72.7 2.5 7.3

30.3 29.5 35.918.1 13.3 21.867.1 68.1 56.8

3.4 6.46.7 5.9 20.6

26.4 31.3 27.726.7 33.1 27.3

.. 7333 46 24

9 6 7350 200 309

25 16 21.. 2.0 2.6.. 21.7 17.7

227.6 217.67.4 6.5 2.9

5.9 ..3.1 ..

45.3 ..21.1 ..15.8 ..26.4 ..

14,504 18,619 305,9342.5 1.6 2.8

17.2 20.3 30.912.8 12.9 ..

.. .. ..

54.4 60.0 49.27.9 7.6 10.01.8 3.2 4.0

138.2 151.5 106.84.9 3.14.6 3.3 6.2

148 196 7,7743,111 4,831 268,5304,689 4,328 3,214

0.9 ..70.4 149.2 101.4

7.5 49.0 47.7








South Sudan

2005 2014 2014


8.1 11.9 622.. .. 271.. .. 5.7.. 970 628.. –12.1 6.4.. .. 31.7.. .. 21.7.. .. 8.8.. .. 46.6.. 3.3.. .. 5.3.. 20.2 24.3.. 34.0 42.7

.. 187.. 14 27.. 13 8.. 210 267.. 55 36.. .. 3.3.. 6.9 18.3

0.1 2.10.0 0.3 0.6

.. 18.0.. 30.6.. 69.8.. 6.0.. 9.7.. 2.6

.. 111 7,501.. –5.3 4.4.. 10.4 25.1.. 5.0 ..

.. .. .... .. 26.7.. .. .... .. .... .. 20.7.. .... .. ..

.. .. 266.. .. .... 39 .... 1.5.. 24.5 56.7.. 15.9 6.3








Spain

2005 2014 2014


43.7 46.5 1,39821.2 23.3 689

9.3 24.7 7.225,930 29,390 38,301

2.9 –1.1 1.83.0 2.5 1.6

30.4 22.4 24.515.7 13.2 14.966.5 75.1 73.9

3.4 –0.17.3 7.0 18.5

24.7 32.5 30.329.7 30.1 29.8

.. 3370 14 1510 7 6

298 158 17910 10 13

.. 1.5 2.0

.. 13.3 13.2131.1 91.5

4.4 3.0 6.4

0.8 ..14.3 ..

.. ..35.8 ..

9.3 ..21.3 ..

.. .. ..

2.6 2.5 1.729.9 19.6 20.4

.. .. ..

38.0 96.5 65.7

.. .. ..6.3 7.2 8.00.8 8.5 3.3

135.5 129.1 142.50.2 ..1.8 .. ..

586 486 21,2879,171 14,711 336,7886,111 5,401 8,508

.. ..98.4 107.8 125.747.9 76.2 80.6








Sri Lanka

2005 2014 2014


19.6 20.8 2,8788.0 8.6 1,1697.7 4.6 5.3

1,210 3,440 2,0185.5 6.8 5.7

11.8 8.3 16.630.2 30.1 31.119.5 18.8 16.858.0 61.7 51.911.6 3.3

2.3 0.9 11.532.3 .. 25.741.3 .. 29.5

.. 10746 10 20

9 8 7256 167 307

25 16 25.. 1.7 2.9.. 1.1 15.8

2.9 7.00.2 0.5 1.7

.. 1.7.. 7.7.. 47.4.. 40.6.. 42.4.. 9.1

2,503 1,414 138,6231.1 1.2 2.1

23.4 .. 25.119.5 .. 20.7

90.6 68.7 ..37.0 34.5 48.7

5.7 8.2 10.69.6 4.2 5.5

32.9 26.8 41.40.3 5.05.1 0.3 7.2

20 32 2,6662,455 4,908 72,101

398 526 743.. 4.1

16.8 103.2 87.61.8 25.8 22.6








St. Kitts and Nevis

2005 2014 2014


0.05 0.05 1,398.. .. 689.. .. 7.2

10,970 14,920 38,3013.4 1.9 1.81.9 1.5 1.6

25.9 25.3 24.57.5 10.5 14.9

72.2 73.2 73.93.4 0.20.7 0.1 18.5

41.7 38.5 30.351.6 47.3 29.8

.. 12419 19 15

7 7 6172 203 179

17 13 13.. .. 2.0.. 30.5 13.2.. 0.2.. 5.7 6.4 .. .... .... .... .... .... ..

.. 17 ..

17.1 14.1 1.742.2 30.1 20.4

.. .. ..

.. .. 65.7

110.2 149.0 .... .. 8.0.. .. 3.3

54.9 58.5 142.510.9 7.9

5.5 6.1 ..

.. .. 21,287.. .. 336,788.. .. 8,508.. ..

103.8 118.6 125.734.0 65.4 80.6








St. Lucia

2005 2014 2014


0.17 0.18 2,3610.08 0.10 1,254

.. .. 5.95,360 7,260 7,926

3.0 –0.3 5.73.5 2.8 7.3

18.9 13.5 35.95.2 2.8 21.8

77.6 83.7 56.83.9 3.58.5 5.2 20.6

55.4 44.7 27.762.8 50.3 27.3

.. 7722 11 24

6 5 771 110 30922 14 21

.. 2.0 2.6

.. 25.8 17.7

.. 0.1

.. 0.6 2.9 .. .... .... .... .... .... ..

60 .. 305,9348.3 5.4 2.8

28.5 18.7 30.9.. .. ..

.. .. ..

78.7 85.4 49.2.. .. 10.0.. .. 4.0

75.0 98.9 106.83.3 4.07.8 6.2 6.2

.. .. 7,774

56 71 268,530.. .. 3,214.. ..

63.9 102.6 101.421.6 51.0 47.7








St. Martin (French part)

2005 2014 2014


0.03 0.03 1,398.. .. 689.. .. 7.2.. .. 38,301.. .. 1.8.. .. 1.6.. .. 24.5.. .. 14.9.. .. 73.9.. .... .. 18.5.. .. 30.3.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. .... .. 125.7.. .. 80.6








St. Vincent and the Grenadines

2005 2014 2014


0.11 0.11 2,3610.05 0.05 1,254

.. .. 5.94,950 6,610 7,926

4.1 0.2 5.76.3 7.8 7.3

18.8 17.1 35.95.9 5.0 21.8

74.9 75.2 56.83.7 0.20.1 0.1 20.6

36.4 25.1 27.752.9 56.5 27.3

.. 11112 10 24

8 7 776 108 30915 12 21

.. .. 2.6

.. 30.2 17.70.1 0.11.8 1.4 2.9

.. .... .... .... .... .... ..

.. .. 305,934

7.3 19.0 2.825.1 22.3 30.9

.. .. ..

.. .. ..

64.9 75.1 49.2.. 7.6 10.0.. 10.0 4.0

45.6 52.1 106.86.4 8.46.7 6.4 6.2

.. .. 7,774.. 24 268,530.. .. 3,214.. ..

64.9 105.2 101.49.2 56.5 47.7








Sudan

2005 2014 2014


32.0 39.4 2,8789.6 12.5 1,169

14.7 14.8 5.3560 1,710 2,0187.5 0.6 5.7

31.5 29.2 16.627.7 20.4 31.1

6.9 8.4 16.840.8 50.4 51.9

8.5 36.90.6 0.7 11.5

19.2 6.1 25.728.4 13.0 29.5

.. 15937 36 2010 10 7

180 180 30756 32 25

.. 2.0 2.9

.. 11.5 15.8

.. ..

.. .. 1.7 .. 4.1.. 3.2.. 90.5.. 2.6.. 5.8.. 7.0

2,656 1,234 138,6235.9 1.7 2.1

23.1 17.3 25.118.2 15.6 20.7

.. .. ..

14.3 12.6 48.7.. .. 10.6.. .. 5.5

10.4 8.5 41.4.. .... .. 7.2

9 7 2,666

342 566 72,10176 159 743

.. 3.44.8 72.2 87.61.3 24.6 22.6

a

a

a








Suriname

2005 2014 2014


0.49 0.54 2,3610.18 0.21 1,254

6.3 5.6 5.93,380 9,950 7,926

5.2 3.6 5.75.4 7.0 7.3

37.3 48.6 35.918.4 16.4 21.857.3 44.4 56.8

9.9 3.413.7 20.7 20.630.4 .. 27.745.2 .. 27.3

.. 156697 84 24

13 13 7199 199 309

20 22 21.. 5.0 2.6.. 27.9 17.7

0.2 0.50.5 1.4 2.9

.. .... .... .... .... .... ..

60 .. 305,9341.6 –4.0 2.8

24.9 .. 30.919.6 .. ..

.. .. ..

37.3 49.5 49.2.. .. 10.0.. .. 4.0

19.3 29.9 106.81.7 12.6

10.1 4.9 6.2

5 4 7,774.. .. 268,530.. .. 3,214.. ..

46.6 170.6 101.46.4 40.1 47.7








Swaziland

2005 2014 2014


1.1 1.3 2,8780.36 0.46 1,16922.9 22.3 5.3

2,390 3,550 2,0182.5 2.3 5.78.8 6.3 16.6

44.7 44.1 31.138.9 37.4 16.846.5 49.6 51.9

4.8 5.70.1 .. 11.5

87.1 44.4 25.791.2 56.8 29.5

.. 10560 30 2012 12 7

104 110 30721 17 25

.. 2.0 2.9

.. 25.6 15.8

.. ..

.. .. 1.7

4.4 ..3.3 ..

39.7 ..16.0 ..16.9 ..22.1 ..

66 11 138,623–1.8 0.6 2.115.0 14.3 25.1

7.1 .. 20.7

.. .. ..

19.6 23.2 48.714.4 12.6 10.6

7.0 6.9 5.521.1 21.2 41.4

7.9 2.46.6 6.5 7.2

.. .. 2,666.. .. 72,101.. .. 743

1.8 ..18.1 72.3 87.6

3.7 27.1 22.6








Sweden

2005 2014 2014


9.0 9.7 1,3984.8 5.1 6897.8 8.0 7.2

45,350 61,570 38,3012.4 2.0 1.81.1 1.4 1.6

29.7 26.0 24.520.5 16.4 14.969.2 72.6 73.9

0.5 –0.216.9 13.9 18.545.9 44.5 30.338.7 40.8 29.8

.. 816 7 15

3 3 6122 122 179

9 9 13.. 2.0 2.0.. 13.1 13.2

20.6 42.13.5 6.9 6.4

.. 4.9.. 0.3.. 29.7.. 26.6.. 24.3.. 39.1

.. .. ..

5.2 –0.4 1.722.1 23.5 20.4

.. .. ..

.. 42.0 65.7

44.8 65.0 ..4.9 5.1 8.00.8 1.2 3.3

99.9 131.8 142.52.5 ..2.5 .. ..

190 .. 21,2871,253 1,684 336,788

15,431 13,870 8,508.. ..

100.8 127.8 125.784.8 92.5 80.6








Switzerland

2005 2014 2014


7.4 8.2 1,3984.2 4.8 6894.4 4.5 7.2

61,550 84,720 38,3012.2 1.8 1.80.9 0.8 1.6

26.8 26.3 24.519.6 19.0 14.972.3 73.0 73.9

1.2 0.024.2 26.4 18.553.9 64.3 30.346.7 53.0 29.8

.. 2618 10 15

6 6 663 63 179

8 8 13.. 3.0 2.0.. 9.3 13.2

11.1 13.72.2 2.5 6.4

.. .... .... .... .... .... ..

.. .. ..

0.7 3.2 1.724.5 23.7 20.4

.. .. ..

38.3 24.2 65.7

127.9 171.5 ..4.9 6.3 8.00.5 0.7 3.3

150.2 171.1 142.52.5 3.42.6 2.7 ..

135 248 21,287104 128 336,788

8,305 7,807 8,508.. ..

92.2 136.7 125.770.1 87.0 80.6








Syrian Arab Republic

2005 2014 2014


18.1 22.2 2,8785.2 6.1 1,1699.2 10.8 5.3

1,530 .. 2,0185.0 .. 5.7

19.5 .. 16.636.2 .. 31.1

8.0 .. 16.844.3 .. 51.9

7.2 36.72.1 .. 11.5

40.4 .. 25.741.6 .. 29.5

.. 17543 13 2012 7 7

336 336 30721 18 25

.. 4.1 2.9

.. 23.0 15.80.1 0.60.0 0.0 1.7

.. .... .... .... .... .... ..

625 598 138,6231.7 .. 2.1

23.0 .. 25.111.9 .. 20.7

.. .. ..

46.2 .. 48.7.. .. 10.6.. .. 5.5

14.8 .. 41.4–3.5 ..–1.0 .. 7.2

17 5 2,666539 836 72,101

1,517 999 743.. ..

16.2 63.9 87.65.6 28.1 22.6








Tajikistan

2005 2014 2014


6.8 8.3 2,8782.8 3.7 1,169

11.8 10.9 5.3320 1,080 2,0188.5 7.2 5.7

24.0 27.4 16.631.3 21.7 31.123.7 11.2 16.844.8 50.8 51.9

7.1 6.1.. .. 11.5

26.0 19.2 25.752.8 68.3 29.5

.. 13279 11 2014 4 7

296 276 30771 71 25

.. 1.7 2.9

.. 17.7 15.80.8 1.30.2 0.3 1.7

4.2 21.9

71.5 31.9.. 34.5

8.0 19.25.3 19.26.4 16.9

1,136 320 138,6232.4 2.8 2.1

13.8 14.1 25.16.0 5.5 20.7

.. .. ..

5.2 10.9 48.7.. 14.9 10.6

11.3 21.2 5.59.1 21.5 41.4

12.6 18.113.1 19.0 7.2

7 3 2,666.. .. 72,101

2,144 1,682 743.. 6.1

3.9 95.1 87.60.3 17.5 22.6








Tanzania

2005 2014 2014


39.1 51.8 62219.2 25.3 271

2.5 3.1 5.7410 920 6286.9 6.7 6.4

30.5 31.5 31.721.0 25.0 21.7

7.8 6.1 8.848.5 43.5 46.6

5.0 6.11.1 2.7 5.3

16.9 19.5 24.322.2 29.9 42.7

.. 13934 26 2711 9 8

172 179 26730 18 36

.. 3.0 3.3

.. 20.8 18.3

.. ..

.. .. 0.6

4.0 2.014.7 14.666.9 72.617.3 14.744.3 52.614.7 17.6

2,420 1,305 7,5015.5 4.3 4.4

25.2 32.7 25.115.6 .. ..

.. .. ..

17.8 19.1 26.7.. 10.3 ..

9.2 6.6 ..8.5 13.8 20.7

–8.9 11.110.5 6.4 ..

6 26 266

351 638 ..78 89 ..9.1 8.97.6 62.8 56.71.1 4.9 6.3








Thailand

2005 2014 2014


65.9 67.7 2,36137.6 40.1 1,254

1.3 0.9 5.92,770 5,780 7,926

4.8 3.9 5.79.2 10.5 7.3

38.6 36.8 35.929.8 27.7 21.852.2 52.7 56.8

4.5 1.926.7 20.4 20.668.4 69.2 27.769.5 62.6 27.3

.. 4933 28 24

9 6 7264 264 309

24 14 21.. 2.7 2.6.. 19.5 17.7

32.2 43.60.7 0.9 2.9

0.4 ..

.. ..

.. ..71.9 ..27.9 ..39.0 ..

8,959 14,121 305,9344.3 0.9 2.8

27.7 24.6 30.920.3 19.1 ..

25.5 29.2 ..94.6 116.5 49.2

9.0 9.2 10.09.1 2.3 4.0

93.8 146.8 106.80.7 5.73.9 4.8 6.2

124 323 7,7745,115 8,284 268,5301,902 2,471 3,214

1.3 ..46.5 144.4 101.415.0 34.9 47.7








Timor-Leste

2005 2014 2014


0.98 1.2 2,8780.25 0.26 1,169

7.2 4.7 5.3910 2,680 2,0183.4 6.8 5.7

28.2 19.2 16.69.8 17.6 31.12.5 0.9 16.8

62.0 63.2 51.91.1 0.40.0 9.8 11.58.1 7.7 25.7

63.7 95.9 29.5

.. 173

167 9 2011 4 7

640 276 30728 28 25

.. .. 2.9

.. 11.2 15.8

.. 2.9

.. 4.6 1.7 .. .... .... .... .... .... ..

.. .. 138,623

0.2 2.4 2.118.9 38.7 25.112.0 6.8 20.7

.. .. .... .. 48.7.. .. 10.6.. .. 5.5

21.6 13.5 41.417.6 12.415.9 12.0 7.2

.. .. 2,666.. .. 72,101.. .. 743.. ..

3.3 119.4 87.60.1 1.1 22.6








Togo

2005 2014 2014


5.6 7.1 6222.5 3.3 2717.1 6.9 5.7

360 570 6282.2 5.2 6.4

39.4 41.7 31.717.2 17.2 21.7

8.5 5.7 8.843.4 41.1 46.6

6.8 0.20.1 0.2 5.3

40.0 50.4 24.358.7 100.8 42.7

.. 15063 10 2713 6 8

270 270 26734 24 36

.. 3.0 3.3

.. 10.7 18.30.0 1.00.0 0.3 0.6

.. .... .... .... .... .... ..

340 578 7,5014.5 6.5 4.4

15.8 21.5 25.113.1 14.5 ..

.. .. ..

22.3 41.7 26.7.. .. .... .. ..

17.5 34.1 20.7.. .... .. ..

.. 11 266.. .. ..

110 148 .... ..

7.8 64.6 56.71.8 5.7 6.3








Tonga

2005 2014 2014


0.10 0.11 2,3610.04 0.04 1,254

.. .. 5.92,500 4,260 7,926

0.7 0.9 5.721.0 20.5 7.319.9 18.8 35.9

8.8 6.9 21.859.1 60.7 56.8

8.3 2.5.. 2.4 20.6

18.0 17.8 27.758.9 53.5 27.3

.. 7832 16 24

4 4 7164 200 309

21 22 21.. 2.7 2.6.. 23.8 17.7

0.1 0.12.3 1.9 2.9

.. .... .... .... .... .... ..

.. 6 305,934

2.8 12.9 2.822.4 33.6 30.9

.. .. ..

.. .. ..

44.1 42.8 49.2.. .. 10.0.. .. 4.0

53.3 29.8 106.84.8 6.55.5 6.1 6.2

5 .. 7,774.. .. 268,530.. .. 3,214.. ..

29.6 64.3 101.44.9 40.0 47.7








Trinidad and Tobago

2005 2014 2014


1.3 1.4 1,3980.66 0.69 689

8.0 4.0 7.211,210 20,070 38,301

7.4 0.9 1.80.5 0.6 1.6

60.3 56.5 24.55.5 6.4 14.9

39.2 42.9 73.96.9 5.71.3 .. 18.5

66.1 44.4 30.339.2 31.5 29.8

.. 8874 12 15

9 7 6210 210 179

14 11 13.. 2.5 2.0.. 21.9 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. ..

5.9 8.4 1.730.2 13.8 20.422.0 6.9 ..

16.8 .. 65.743.3 50.8 ..

.. .. 8.0

.. .. 3.334.6 28.3 142.5–3.7 2.86.9 6.0 ..

14 36 21,287515 739 336,788

5,142 6,876 8,508.. ..

71.3 147.3 125.729.0 65.1 80.6








Tunisia

2005 2014 2014


10.0 11.0 2,3613.4 4.0 1,254

14.2 13.3 5.93,190 4,230 7,926

4.6 2.1 5.710.1 8.8 7.329.3 29.3 35.917.4 16.7 21.860.6 61.9 56.8

2.0 4.94.5 4.9 20.6

44.9 44.6 27.745.3 55.4 27.3

.. 7411 11 2410 10 7

268 144 30916 16 21

.. 1.3 2.6

.. 12.8 17.75.6 12.70.8 1.5 2.9

.. 46.5.. 4.9.. 45.2.. 44.7.. 89.3.. 16.8

4,812 647 305,9342.2 2.1 2.8

21.3 19.2 30.918.3 .. ..

52.4 44.6 ..45.3 57.6 49.2

7.7 6.3 10.020.9 15.8 4.058.3 76.5 106.8

.. ..

.. .. 6.2

21 45 7,774

421 601 268,5301,092 1,435 3,214

.. 0.356.5 128.5 101.4

9.7 46.2 47.7








Turkey

2005 2014 2014


67.9 75.9 2,36122.3 27.8 1,25410.6 9.2 5.9

6,510 10,830 7,9264.9 5.2 5.7

10.8 8.0 7.328.5 27.1 35.919.8 17.8 21.860.7 64.9 56.810.1 8.9

1.5 1.9 20.621.9 27.7 27.725.4 32.2 27.3

.. 557 8 247 8 7

254 226 30920 13 21

.. 4.5 2.6

.. 17.9 17.745.8 57.8

1.0 1.1 2.9

6.3 19.08.4 1.2

.. 40.036.8 42.411.1 8.326.7 32.4

43,387 54,329 305,9342.1 1.6 2.8

21.0 20.1 30.917.7 15.9 ..

.. 38.0 ..

37.7 54.7 49.212.3 11.6 10.0

4.3 2.7 4.022.2 74.6 106.8

.. ..

.. .. 6.2

146 723 7,774

3,174 7,623 268,5302,015 2,789 3,214

.. 1.764.4 94.8 101.415.5 51.0 47.7








Turkmenistan

2005 2014 2014


4.7 5.3 2,3611.9 2.3 1,254

11.1 10.5 5.91,600 8,020 7,926

8.0 11.3 5.718.8 14.5 7.337.6 48.4 35.921.7 .. 21.843.6 37.0 56.8

.. ..

.. .. 20.665.0 73.3 27.747.8 44.4 27.3

.. ..

.. .. 24

.. .. 7

.. .. 309

.. .. 21

.. .. 2.6

.. .. 17.7

.. ..

.. .. 2.9 .. .... .... .... .... .... ..

203 45 305,9345.2 6.6 2.8

22.9 47.2 30.922.7 10.5 ..

.. .. .... .. 49.2.. 10.2 10.0.. 0.0 4.0.. .. 106.8.. .... .. 6.2

14 0 7,774.. .. 268,530

2,055 2,602 3,214.. ..

2.2 135.8 101.41.0 12.2 47.7








Turks and Caicos Islands

2005 2014 2014


0.03 0.03 1,398.. .. 689.. .. 7.2.. .. 38,301.. .. 1.8.. .. 1.6.. .. 24.5.. .. 14.9.. .. 73.9.. ..

9.2 1.9 18.5.. .. 30.3.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. .... .. 125.7.. .. 80.6








Tuvalu

2005 2014 2014


0.01 0.01 2,361.. .. 1,254.. .. 5.9

3,740 5,720 7,9261.2 2.1 5.7

22.6 22.2 7.38.6 8.7 35.90.9 1.2 21.8

68.8 69.1 56.8.. ..

15.0 .. 20.6.. .. 27.7.. .. 27.3

.. .... .. 24.. .. 7.. .. 309.. .. 21.. .. 2.6.. .. 17.7.. .... .. 2.9 .. .... .... .... .... .... ..

.. .. 305,934

–0.1 0.9 2.8.. .. 30.9.. .. ..

.. .. .... .. 49.2.. .. 10.0.. .. 4.0.. .. 106.8.. .... .. 6.2

.. .. 7,774.. .. 268,530.. .. 3,214.. ..

13.4 38.4 101.410.0 37.0 47.7








Uganda

2005 2014 2014


28.0 37.8 62211.1 15.1 271

2.0 3.8 5.7300 670 6287.8 5.5 6.4

26.7 27.2 31.725.0 22.0 21.7

7.5 10.0 8.848.3 50.8 46.6

8.4 4.312.5 2.4 5.314.2 18.4 24.324.8 28.5 42.7

.. 12234 27 2718 15 8

237 209 26738 28 36

.. 2.2 3.3

.. 25.2 18.38.2 20.80.6 1.2 0.6

5.2 6.5

14.5 14.373.1 95.214.0 21.433.0 18.115.5 11.6

3,621 600 7,5014.2 4.2 4.4

22.2 27.0 25.117.2 20.8 ..

64.9 33.2 ..14.9 18.3 26.711.9 13.0 ..

2.3 4.1 ..8.6 14.4 20.7

21.8 18.810.9 10.7 ..

0 7 266.. .. .... .. ..

10.6 6.34.6 52.4 56.71.7 17.7 6.3








Ukraine

2005 2014 2014


47.1 45.4 2,87823.3 23.1 1,169

7.2 7.7 5.31,540 3,560 2,018

5.7 0.8 5.710.4 11.8 16.632.3 25.4 31.119.6 13.1 16.857.3 62.8 51.913.6 12.2

3.7 6.5 11.551.5 49.2 25.750.6 53.2 29.5

.. 8334 7 2015 4 7

2,085 350 30730 29 25

.. 2.9 2.9

.. 9.0 15.827.7 29.7

0.8 0.9 1.7

8.0 19.649.5 50.0

.. 50.127.3 14.833.5 6.712.9 16.6

7,058 4,460 138,6239.1 0.6 2.1

22.0 14.0 25.120.1 12.7 20.7

.. 33.7 ..

30.1 42.8 48.711.9 11.2 10.658.0 19.0 5.532.2 76.2 41.4–6.7 2.67.6 5.6 7.2

42 48 2,666579 849 72,101

3,246 3,600 743.. 0.3

63.7 144.1 87.63.7 43.4 22.6








United Arab Emirates

2005 2014 2014


4.5 9.1 1,3982.8 6.3 6893.1 3.6 7.2

38,390 44,600 38,3015.3 4.8 1.81.4 0.7 1.6

56.1 55.1 24.510.7 9.0 14.943.3 44.3 73.9

.. ..1.9 .. 18.5

67.6 98.0 30.352.0 77.9 29.8

.. 3119 8 1510 6 612 12 179

9 7 13.. 3.2 2.0.. 0.0 13.2

7.0 10.82.1 1.4 6.4

.. .... .... .... .... .... ..

.. .. ..

6.0 2.5 1.718.4 23.7 20.411.4 14.3 ..

.. 1.9 65.7

46.2 73.8 ..11.9 12.3 8.0

8.3 6.5 3.343.8 65.4 142.5

.. ..

.. .. ..

87 357 21,287

9,852 20,901 336,78812,571 10,904 8,508

.. ..109.3 178.1 125.7

40.0 90.4 80.6








United Kingdom

2005 2014 2014


60.4 64.6 1,39830.7 33.0 689

4.8 6.3 7.241,150 43,390 38,301

2.1 1.9 1.80.7 0.7 1.6

23.3 21.0 24.511.8 10.6 14.976.0 78.4 73.9

2.0 1.528.0 20.6 18.525.7 28.4 30.328.4 30.3 29.8

.. 612 5 15

6 4 6105 110 179

10 8 13.. 1.0 2.0.. 19.2 13.2

333.7 537.78.4 12.9 6.4

.. .... .... .... .... .... ..

.. .. ..

10.4 1.5 1.718.2 16.9 20.4

.. .. ..

46.3 98.3 65.7

.. .. ..6.1 5.6 8.01.0 1.8 3.3

150.5 138.9 142.51.7 –1.2

.. .. ..

1,018 1,070 21,2878,250 9,348 336,7886,271 5,407 8,508

.. ..108.6 123.6 125.7

70.0 91.6 80.6








United States

2005 2014 2014


295.5 318.9 1,398152.8 161.0 689

5.2 6.2 7.246,340 55,230 38,301

2.1 2.2 1.81.2 1.4 1.6

22.0 20.5 24.513.5 12.4 14.976.9 78.1 73.9

3.4 1.629.9 18.2 18.510.0 13.4 30.315.5 16.5 29.8

.. 7

.. 6 15

.. 6 6

.. 175 1796 6 13.. 1.5 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. ..

1.1 0.8 1.722.8 19.4 20.419.3 15.8 ..

56.3 97.2 65.75.3 10.3 ..

10.3 11.7 8.00.7 1.9 3.3

187.8 197.1 142.52.9 1.8

.. .. ..

9,970 9,553 21,287

38,498 46,489 336,78813,705 12,985 8,508

.. ..68.3 110.2 125.768.0 87.4 80.6








Uruguay

2005 2014 2014


3.3 3.4 1,3981.6 1.8 6898.5 7.0 7.2

4,720 16,350 38,3013.2 4.8 1.8

10.4 8.1 1.627.1 27.9 24.517.1 14.1 14.962.5 64.0 73.9

4.7 8.92.7 7.9 18.5

30.4 23.4 30.328.5 25.5 29.8

.. 9245 7 1511 5 6

304 277 17923 15 13

.. 1.8 2.0

.. 23.6 13.27.5 5.53.6 2.5 6.4

7.0 ..0.6 ..

87.1 ..20.6 ..38.6 ..

6.8 ..

241 4,532 ..4.8 4.9 1.7

16.5 21.4 20.413.2 16.8 ..

76.1 43.3 65.739.6 42.6 ..

7.2 9.3 8.05.6 1.3 3.3

22.5 26.9 142.512.8 5.510.8 10.6 ..

9 .. 21,287

596 905 336,7882,000 2,985 8,508

0.1 ..34.7 160.8 125.720.1 61.5 80.6








Uzbekistan

2005 2014 2014


26.2 30.8 2,87810.6 13.6 1,16910.9 10.6 5.3530 2,090 2,0186.9 8.2 5.7

28.0 18.8 16.623.2 33.7 31.1

9.1 12.3 16.848.9 47.5 51.9

.. ..

.. .. 11.537.9 23.4 25.728.7 27.3 29.5

.. 8729 7 2011 5 7

196 193 30779 54 25

.. 2.0 2.9

.. 11.4 15.86.1 12.80.4 0.6 1.7

2.5 19.9

63.0 2.4.. 15.7

15.0 13.18.3 6.29.4 4.0

2,165 1,111 138,6231.3 1.2 2.1

17.9 25.2 25.114.6 20.6 20.7

.. .. .... .. 48.7

14.0 11.7 10.63.0 0.4 5.5

.. .. 41.4

.. ..

.. .. 7.2

22 23 2,666

.. .. 72,1011,717 1,637 743

.. 5.72.8 78.4 87.63.3 43.6 22.6








Vanuatu

2005 2014 2014


0.21 0.26 2,8780.09 0.12 1,169

.. .. 5.31,780 3,160 2,018

3.9 1.7 5.725.3 28.2 16.6

8.9 9.1 31.14.3 3.7 16.8

65.8 62.7 51.91.2 0.87.7 54.0 11.5

45.4 48.0 25.754.8 49.4 29.5

.. 9447 35 20

8 8 7120 120 307

26 21 25.. 2.6 2.9.. 0.0 15.8

0.5 ..4.4 .. 1.7

.. .... .... .... .... .... ..

41 .. 138,6233.4 1.6 2.1

23.4 25.9 25.1.. .. 20.7

.. .. ..

92.4 66.8 48.7.. .. 10.6.. .. 5.5

43.6 71.7 41.47.0 2.65.5 3.6 7.2

2 11 2,666.. .. 72,101.. .. 743.. ..

6.1 60.4 87.65.1 18.8 22.6








Venezuela, RB

2005 2014 2014


26.8 30.7 1,39812.2 14.3 68911.4 8.6 7.2

4,920 12,500 38,3015.1 1.9 1.84.0 5.5 1.6

57.8 49.3 24.516.4 13.8 14.938.2 .. 73.916.0 62.2

2.3 1.1 18.539.7 24.8 30.320.5 29.5 29.8

.. 186143 144 15

16 17 6864 792 179

34 56 13.. 4.0 2.0.. 9.9 13.2.. .... .. 6.4

33.6 ..2.6 ..

.. ..24.9 ..25.4 ..12.5 ..

3,740 1,168 ..1.9 0.6 1.7

20.3 22.2 20.412.1 .. ..

.. .. 65.7

20.3 46.9 ..11.1 10.5 8.0

1.1 0.8 3.313.1 29.9 142.5–9.9 –14.55.2 2.5 ..

136 95 21,2871,120 1,417 336,7882,850 3,245 8,508

0.6 ..46.8 99.0 125.712.6 57.0 80.6








Vietnam

2005 2014 2014


82.4 90.7 2,87846.3 54.2 1,169

2.1 2.3 5.3680 1,890 2,0186.8 5.8 5.7

19.3 18.1 16.638.1 38.5 31.118.8 17.5 16.842.6 43.4 51.9

8.3 4.15.4 26.9 11.5

63.7 86.4 25.767.0 83.1 29.5

.. 9042 20 2011 10 7

1,050 770 30724 21 25

.. 5.0 2.9

.. 14.5 15.8

.. ..

.. .. 1.7 .. .... .... .... .... .... ..

4,729 5,005 138,6233.4 4.9 2.1

31.3 23.8 25.1.. .. 20.7

.. .. ..

12.1 14.6 48.7.. 9.9 10.6.. 3.4 5.5

60.5 100.3 41.41.7 4.83.9 2.9 7.2

54 145 2,6662,537 9,531 72,101

580 1,306 743.. ..

11.3 147.1 87.612.7 48.3 22.6








Virgin Islands (U.S.)

2005 2014 2014


0.11 0.10 1,3980.05 0.05 689

.. .. 7.2

.. .. 38,301

.. .. 1.8

.. .. 1.6

.. .. 24.5

.. .. 14.9

.. .. 73.9

.. ..

.. .. 18.5

.. .. 30.3

.. .. 29.8

.. .... .. 15.. .. 6.. .. 179.. .. 13.. .. 2.0.. .. 13.2.. .... .. 6.4 .. .... .... .... .... .... ..

.. .. .... .. 1.7.. .. 20.4.. .. ..

.. .. 65.7.. .. .... .. 8.0.. .. 3.3.. .. 142.5.. .... .. ..

.. .. 21,287.. .. 336,788.. .. 8,508.. ..

74.5 .. 125.727.3 50.1 80.6








West Bank and Gaza

2005 2014 2014


3.3 4.3 2,8780.74 1.1 1,16926.0 26.2 5.3

1,660 3,060 2,0182.7 4.4 5.76.1 4.8 16.6

26.8 23.6 31.114.6 14.9 16.867.1 71.6 51.9

.. ..

.. .. 11.515.0 18.0 25.774.0 61.0 29.5

.. 12993 44 2012 9 7

170 162 30725 23 25

.. .. 2.9

.. 15.0 15.8

.. ..

.. .. 1.7

5.7 4.42.7 2.9

.. 50.814.2 11.237.1 42.518.2 7.8

667 157 138,6230.7 1.0 2.1

25.3 21.3 25.1.. .. 20.7

.. .. .... .. 48.7.. 10.4 10.6.. 2.5 5.5

6.2 8.4 41.46.6 3.65.1 5.6 7.2

.. .. 2,666.. .. 72,101.. .. 743

2.3 8.715.9 72.1 87.616.0 53.7 22.6








Yemen, Rep.

2005 2014 2014


20.5 26.2 2,8785.3 7.6 1,169

16.1 17.4 5.3690 1,300 2,0184.0 –2.7 5.7

10.5 .. 16.649.0 .. 31.1

7.1 .. 16.840.5 .. 51.911.8 11.0

0.2 1.2 11.540.9 .. 25.735.9 .. 29.5

.. 17063 40 2012 6 7

248 248 30733 29 25

.. 3.0 2.9

.. 20.0 15.8

.. ..

.. .. 1.7 .. 1.9.. 62.6.. 43.0.. 4.6.. 25.6.. 4.9

706 365 138,623–1.8 –0.4 2.118.5 .. 25.110.6 .. 20.7

.. .. ..

19.2 27.8 48.7.. 8.4 10.6.. 24.7 5.5

6.9 6.3 41.4–0.4 13.25.0 6.8 7.2

17 16 2,666773 862 72,101180 247 743

.. 38.811.3 68.5 87.6

1.0 22.6 22.6








Zambia

2005 2014 2014


12.0 15.7 2,8785.1 6.7 1,169

15.9 13.3 5.3550 1,680 2,0187.2 7.0 5.7

16.1 9.6 16.629.7 33.9 31.110.9 8.2 16.854.2 56.5 51.918.3 7.8

1.1 1.7 11.530.6 40.9 25.731.6 37.8 29.5

.. 9735 8 20

6 6 7183 157 307

53 51 25.. 2.4 2.9.. 2.0 15.8

3.4 10.20.6 1.3 1.7

4.6 8.84.9 9.0

73.8 78.315.0 9.997.0 18.917.2 15.5

1,321 604 138,6234.3 5.6 2.1

.. .. 25.1

.. .. 20.7

.. .. ..

13.3 18.5 48.7.. 13.5 10.6

10.8 7.0 5.56.6 17.1 41.49.9 2.8

17.0 3.7 7.2

6 8 2,666.. .. 72,101

682 731 7432.5 5.28.3 67.3 87.62.9 17.3 22.6








Zimbabwe

2005 2014 2014


13.0 15.2 6226.5 7.7 2714.6 5.4 5.7

430 840 628–7.2 8.6 6.418.6 14.0 31.728.7 29.4 21.716.4 11.9 8.852.7 56.6 46.6

302.1 –0.21.5 1.7 5.3

33.5 27.1 24.342.5 52.5 42.7

.. 15593 90 27

9 9 8216 242 267

52 53 36.. 3.3 3.3.. 18.8 18.3.. .... .. 0.6 .. 2.5.. 12.5.. 71.7.. 12.8.. 30.0.. 18.0

547 750 7,5011.8 3.8 4.42.0 13.2 25.10.0 9.8 ..

.. .. ..

155.8 .. 26.78.0 .. ..

23.2 .. ..15.8 .. 20.7

219.3 ..144.6 .. ..

4 25 266.. .. ..

830 532 .... 6.7

5.1 80.8 56.78.0 19.9 6.3


a . Excludes South Sudan .

Note


Agriculture value added is the net output of agriculture (International Standard Industrial Classification divisions 1–5, including forestry and fishing) after totaling outputs and subtracting intermediate inputs . (World Bank and Organisation for Economic Co-operation and Development)

Air transport for registered carrier departures worldwide are domestic takeoffs and takeoffs abroad of air carriers registered in the country . (International Civil Aviation Organization)

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 adjustments . 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 is the percentage value of nonperforming 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)

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)

Domestic credit to the private sector is financial resources provided to the private sector—such as through loans, purchases of nonequity securi-ties, 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 Organ-isation for Economic Co-operation and Development)

Ease of doing business ranks economies from 1 to 189, with 1 being the best . A high ranking (i .e ., low number) 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 11 topics covered in Doing Business 2016. The ranking on each topic is the simple average of the percentile rankings on its component indicators . Data listed for 2014 are for June 2015 . (World Bank)

Electric power consumption is the production of power plants and com-bined heat and power plants minus transmission, distribution, and trans-formation losses and own use by heat and power plants . (International Energy Agency)

Glossary


Enterprise surveys gather firm-level data to benchmark the business environment of economies and assess how business environment con-straints affect productivity and job creation . (World Bank)

Exports of goods and services are the value of all goods and other mar-ket services provided to the rest of the world . They include the value of merchandise, 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 fac-tor services) as well as transfer payments . (World Bank and Organisation for Economic Co- operation and Development)

Firms competing against unregistered firms are the percentage of firms competing against unregistered or informal firms . (World Bank)

Firms expected to give gifts in meetings with tax officials are the per-centage 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 working capital are the percentage of firms using bank loans to finance working capital . (World Bank)

GDP growth is the annual percentage growth rate of gross domestic prod-uct (GDP) at market prices based on constant local currency . Aggregates are based on constant 2005 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 Organ-isation 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 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 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 depos-

Glossary


its, and securities other than shares . It is the gross amount of govern-ment 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 buildings . According to the 1993 System of National Accounts, net acquisition of valuables is also considered capital formation . (World Bank and Organisation for Economic Co-operation and Development)

Gross fixed private capital formation is gross outlays by the private sector (including private nonprofit organizations) on additions to its fixed domestic assets . (World Bank and Organisation for Economic Co-operation and Development)

High-technology exports are products with high research and develop-ment intensity, such as in aerospace, computers, pharmaceuticals, sci-entific instruments, and electrical machinery . (United Nations)

Imports of goods and services are the value of all goods and other mar-ket services received from the rest of the world . They include the value of merchandise, 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 fac-tor services) as well as transfer payments . (World Bank and Organisation for Economic Co-operation and Development)

Individuals using the Internet are the percentage of individuals who have used the Internet (from any location) in the last 12 months . Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV, etc . (International Telecommunication Union)

Industry value added is the net output of industry (International Standard Industrial Classification divisions 10–45, including mining, manufactur-ing, construction, electricity, water, and gas) after totaling outputs and subtracting intermediate inputs . (World Bank and Organisation for Eco-nomic Co-operation and Development)

Inflation is the annual percentage change in the cost to the average con-sumer 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)

Glossary


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)

Internationally recognized quality certification is the percentage of firms that have an internationally recognized quality certification . (World Bank)

Investment in infrastructure with private participation is the value of infrastructure projects in telecommunications, energy (electricity and nat-ural gas transmission and distribution), transport, and water and sanita-tion that have reached financial closure and directly or indirectly serve the public, including 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 . Incin-erators, movable assets, standalone solid waste projects, and small proj-ects such as windmills are excluded . Data listed for 2005 and 2013 refer to total for the period 2005–10 and 2011–15 . (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)

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 for Economic Co-operation and Development)

Mobile-cellular telephone subscriptions are the number of subscriptions to a public mobile-telephone service that provide access to the public switched telephone network (PSTN) using cellular technology . The indi-cator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i .e . that have been used during the last three months) . The indicator applies to all mobile-cellular subscriptions that offer voice communications . It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data ser-vices, private trunked mobile radio, telepoint, radio paging, and telemetry services . It is calculated per 100 people . (International Telecommunica-tion Union)

New business density is the number of newly registered limited liability corporations per 1,000 people ages 15–64 . (World Bank)

Glossary


New businesses registered are the number of new limited liability corpo-rations registered in the calendar year . (World Bank)

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 . (United Nations Population Division, Eurostat, national statistical offices, World Bank, US Census Bureau, United Nations Statistics Division)

Port container traffic is the flow of containers from land to sea transport modes and vice versa in twenty-foot-equivalent units (TEUs), a standard-size container . Data cover coastal shipping as well as international jour-neys . Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units . (Containerisation International and the United Nations Conference on Trade and Development)

Power outages in firms 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 invest-ment 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 2014 are for June 2015 . (World Bank)

Profit tax is the amount of taxes on profits paid by the business as a percentage of commercial profits . For further details on the method, see the World Bank’s Doing Business 2016. Data listed for 2014 are for June 2015 . (World Bank)

Real interest rate is the lending interest rate adjusted for inflation as measured 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 Co-operation and Development)

Glossary


Time spent dealing with the requirements of government regulations is the percentage of senior management time in a given week spent on requirements imposed by government regulations (taxes, customs, labor regulations, licensing, and registration) . (World Bank)

Time to export is the time necessary to comply with all procedures required to export goods . If a procedure can be accelerated for an addi-tional cost, the fastest legal procedure is chosen . (World Bank)

Time to prepare, file, and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security contributions . (World Bank)

Time to resolve insolvency is the number of years from time of filing for insolvency in court until resolution of distressed assets and payment of creditors . Data listed for 2014 are for June 2015 . (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 2014 are for June 2015 . (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)

Unemployment rate is the share of the labor force without work but avail-able for and seeking employment . Definitions of labor force and unemploy-ment differ by country . Data are modeled ILO estimates . (International Labour Organization)

Glossary

the little data book on private sector development 2016...is based on world development indicators...

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