Little Data Book

2016 THE LITTLEDATA BOOK

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iiiThe Little Data Book 2016

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

Foreword . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .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

Notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230

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

Contents

iv 2016 The Little Data Book

The Little Data Book 2016 was prepared by a team led by Bala Bhaskar Naidu Kalimili under the management of Neil Fantom and comprising Azita Amjadi, Maja Bresslauer, Tamirat Chulta, Liu Cui, Mahyar Eshragh-Tabary, Juan Feng, Saulo Ferreira, Masako Hiraga, Haruna Kashiwase, Buyant Erdene Khaltarkhuu, Tariq Khokhar, Elysee Kiti, Hiroko Maeda, Malvina Pollock, William Prince, Evis Rucaj, Umar Serajuddin, Sun Hwa Song, Rubena Sukaj, Emi Suzuki, Jomo Tariku, Dereje Wolde, and Junhe Yang, working closely with other teams in the Development Economics Vice Presidency’s Development Data Group . The work was carried out under the management of Haishan Fu . Barton Matheson Willse & Worthington typeset the book . Staff from The World Bank’s Publishing and Knowledge division oversaw publication and dissemination of the book .

Acknowledgments

vThe Little Data Book 2016

ForewordThe Little Data Book 2016 is a pocket edition of World Development Indicators

2016. It is intended as a quick reference for users of the World Development

Indicators database, book, and mobile app . The database, which covers more than 1,300 indicators and spans more than 50 years, is available at data .worldbank .org .

The 214 country tables in The Little Data Book present the latest available data for World Bank member countries and other economies with populations of more than 30,000 . The 12 summary tables cover regional and income group aggregates .

For more information about these data or other World Bank data publications, visit our data Web site at data .worldbank .org, e-mail us at data@worldbank .org, call our data hotline 800 590 1906 or 202 473 7824, or fax us at 202 522 1498 .

To order World Development Indicators 2016, visit the publications Web site at www .worldbank .org/publications, call 800 645 7247 or 703 661 1580, or fax 703 661 1501 .

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vi 2016 The Little Data Book

Data notesThe data in this book are for 2000, 2010, 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 selection of indicators in these pages includes some of those being used to monitor progress toward the Sustainable Development Goals . For more information about the seventeen goals—ending poverty, protecting the planet, and ensuring prosperity for all by 2030—please see the other books and online resources in the World Development Indicators 2016 family of products .

The cutoff date for data is February 24, 2016 .

1The Little Data Book 2016

The country composition of regions is based on the World Bank’s analytical regions for FY 16 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; 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 Marrten (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 Africa Algeria, 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

2 2016 The Little Data Book

PeopleShare of poorest 20% in nat’l consumption/income (%)Life expectancy at birth (years)Total fertility rate (births per woman)Maternal mortality ratio (per 100,000 live births)Contraceptive prevalence (% of married women 15–49)Births attended by skilled health staff (% of total)Under-five mortality rate (per 1,000 live births)Prevalence of stunting (% of children under 5)Child immunization, measles (% of ages 12–23 mos.)Primary completion rate, total (% of relevant age group)Ratio of girls to boys in primary and secondary school Labor force participation rate (% of population ages 15+)HIV prevalence rate (% of population ages 15–49)

EnvironmentForests (1,000 sq. km)Deforestation (avg. annual %, 2000–10 and 2010–15)Freshwater use (% of internal resources)Access to improved water source (% total pop.)Access to improved sanitation facilities (% total pop.)Energy use per capita (kilograms of oil equivalent)Carbon dioxide emissions per capita (metric tons)Electricity use per capita (kilowatt-hours)

EconomyGDP ($ billions)GDP growth (annual %)GDP implicit price deflator (annual % growth)Value added in agriculture (% of GDP)Value added in industry (% of GDP)Value added in services (% of GDP)Exports of goods and services (% of GDP)Imports of goods and services (% of GDP)Gross capital formation (% of GDP)Central government revenue (% of GDP)Central government cash surplus/deficit (% of GDP)

States and marketsStarting a business (days)Overall level of statistical capacity (scale 0–100)Military expenditures (% of GDP)Mobile cellular subscriptions (per 100 people)Individuals using the Internet (% of population)Domestic credit provided by financial sector (% of GDP)High-technology exports (% of manufactured exports)

Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ millions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ billions)

2000

2010 2014

.. .. ..68 70 712.7 2.5 2.5

341 246 21660 63 ..60 68 ..76 52 43

32.7 26.2 23.872 85 8581 92 92

0.9 1.0 1.065 63 630.8 0.8 0.8

40,464 40,065 39,9000.1 0.1

.. .. 9.182 88 9159 65 68

1,639 1,849 1,8944.1 4.8 ..

2,378 2,957 3,105

33,290 65,588 77,9604.3 4.1 2.55.2 4.5 2.0

4 3 329 27 2667 70 7125 28 3025 28 2924 22 22

26.7 16.7 17.90.7 –5.3 –2.7

50 34 20.. .. ..

2.2 2.5 2.312.1 76.6 96.96.8 29.2 40.7

163.7 167.2 173.624 17 18

39 47 49.. .. .... .. .... .. ..

0.0 0.0 0.0136 410 528

1,319 1,747 1,56150 131 161

Population (millions) 7,259.7 Population growth (%) 1.2Surface area (1,000 sq. km) 134,325 Population living below $1.90 a day (%) 12.7GNI, Atlas ($ billions) 78,399.9 GNI per capita, Atlas ($) 10,799GNI, PPP ($ billions) 108,477.1 GNI per capita, PPP ($) 14,942

World


2000

2010 2014PeopleShare of poorest 20% in nat’l consumption/income (%)Life expectancy at birth (years)Total fertility rate (births per woman)Maternal mortality ratio (per 100,000 live births)Contraceptive prevalence (% of married women 15–49)Births attended by skilled health staff (% of total)Under-five mortality rate (per 1,000 live births)Prevalence of stunting (% of children under 5)Child immunization, measles (% of ages 12–23 mos.)Primary completion rate, total (% of relevant age group)Ratio of girls to boys in primary and secondary school Labor force participation rate (% of population ages 15+)HIV prevalence rate (% of population ages 15–49)





.. .. ..71 74 75

1.8 1.8 1.8113 74 5975 81 ..85 92 ..40 22 17

.. .. ..84 93 9491 105 105

1.0 1.0 1.074 70 70.. .. ..

6,254 6,371 6,413–0.2 –0.1

.. .. 10.882 91 9463 73 77

1,230 1,855 2,0733.2 5.5 ..

1,646 3,063 3,568

8,124 16,647 21,4684.5 7.0 3.62.5 3.5 2.1

6 4 435 33 3259 63 6426 32 3224 29 3128 28 29

.. 13.7 ..

.. –4.8 ..

38 35 23.. .. ..

1.4 1.6 1.811.4 73.7 103.45.6 34.2 46.9

225.1 200.1 205.633 26 27

42 55 55.. .. .... .. .... .. ..

–2,993 –5,720 –1,45725.2 67.6 93.1163 497 6128.6 9.7 9.4

Population (millions) 2,264.1 Population growth (%) 0.7Surface area (1,000 sq. km) 24,825 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 22,032.5 GNI per capita, Atlas ($) 9,731GNI, PPP ($ billions) 33,741.6 GNI per capita, PPP ($) 14,903

East Asia & Pacific


2000






.. .. ..73 76 771.6 1.7 1.733 19 16

.. .. ..

.. .. ..23 14 11

.. .. ..91 93 9495 98 981.0 1.0 1.057 58 59

.. .. ..

10,286 10,409 10,434–0.1 0.0

.. .. 7.596 98 9891 93 93

3,193 3,300 3,2167.6 7.6 ..

4,943 5,527 5,437

9,926 20,832 23,1834.2 2.5 1.43.8 2.2 1.4

3 2 229 26 2568 72 7335 38 4234 37 3923 21 20

35.2 23.3 24.2–0.3 –4.8 –2.5

42 16 10.. .. ..

1.9 1.8 1.834.1 120.3 125.913.2 56.2 69.2

110.4 152.7 142.621 15 16

56 60 64.. .. .... .. .... .. ..

6,969 7,419 5,54752 127 161

659 677 4104.6 7.4 10.4

Population (millions) 902.0 Population growth (%) 0.3Surface area (1,000 sq. km) 28,460 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 22,932.5 GNI per capita, Atlas ($) 25,425GNI, PPP ($ billions) 26,001.8 GNI per capita, PPP ($) 28,827

Europe & Central Asia


2000






.. .. ..72 74 752.6 2.2 2.199 81 67

.. .. ..86 93 ..32 24 18

.. .. ..94 94 9296 99 1011.0 1.0 1.064 66 66

.. .. ..

9,797 9,381 9,2720.4 0.2

.. .. 2.490 93 9575 81 83

1,134 1,320 1,3732.6 2.9 ..

1,571 1,950 2,118

2,263 5,373 6,2533.9 5.7 1.36.9 5.3 2.9

5 5 533 34 3062 61 6522 24 2322 24 2520 21 22

17.6 .. ..–1.3 .. ..

73 56 29.. .. ..

1.3 1.4 1.312.1 96.4 114.73.9 34.7 50.2

44.5 64.7 75.816 11 11

34 34 37.. .. .... .. .... .. ..

–5,547 –2,676 –2,08220.3 56.6 65.0

87 143 2154.9 11.0 10.1


Latin America & Caribbean


2000






.. .. ..70 72 73

3.2 2.9 2.8113 89 8158 64 ..78 89 ..43 28 23

.. .. ..91 91 8783 93 940.9 0.9 1.047 48 49

0.1 0.1 0.1

205 231 232–1.3 –0.1

.. .. 133.689 91 9380 88 91

1,531 2,135 2,1904.7 6.0 ..

1,752 2,680 2,876

962 2,736 3,5205.5 5.1 2.5

11.0 10.6 0.68 6 6

45 49 4847 45 4638 47 4728 38 4022 28 27

.. .. ..

.. .. ..

41 19 19.. .. ..

5.8 4.8 6.54.6 92.9 110.21.7 24.9 38.3

54.8 46.3 50.86 3 ..

55 67 71.. .. .... .. .... .. ..

1,045 5,031 –21311.9 38.1 49.710.9 82.8 50.14.8 12.3 32.6


Middle East & North Africa


2000





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ millions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ millions)

.. .. ..77 79 792.0 1.9 1.812 14 1373 76 ..

.. .. ..8 7 6.. .. ..

91 92 91.. .. ..

1.0 1.0 1.066 64 63

.. .. ..

6,513 6,560 6,572–0.1 0.0

.. .. 9.199 99 99

100 100 1008,068 7,184 6,951

19.9 17.2 ..13,997 13,587 13,239

11,028 16,584 19,2104.2 2.6 2.42.3 1.2 1.6

1 1 123 21 2176 78 7813 14 1516 17 1823 19 20

20.5 10.3 19.12.2 –6.5 –5.1

4 6 4.. .. ..

2.8 4.3 3.337.5 89.8 107.343.9 72.5 87.3

185.6 227.1 253.531 19 18

23 24 26.. .. .... .. .... .. ..

6,176 6,300 6,1844.4 8.4 9.4

387 288 1890.0 0.0 0.0


North America


2000





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ billions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ billions)

.. .. ..63 67 683.5 2.8 2.6

388 228 18245 53 ..36 50 ..94 64 53

51.2 41.1 37.258 80 8070 91 91

0.8 1.0 1.060 57 56

.. .. ..

790 827 834–0.5 –0.2

.. .. 51.680 89 9229 40 45

395 517 5501.0 1.3 ..

357 575 673

629 2,094 2,5894.1 9.1 6.94.1 9.2 4.423 19 1826 26 2951 55 5314 21 2215 26 2523 33 30

11.9 12.8 12.6–3.9 –3.4 –4.3

40 26 16.. 70.0 71.1

3.0 2.7 2.40.3 59.7 75.40.5 7.2 16.6

47.9 67.4 70.15 6 8

23 34 38.. .. ..

162 411 61317.2 7.4 17.6

–5,336 –9,901 –6,28117 82 116

4.4 31.6 39.54.1 15.4 15.4


South Asia


2000






.. .. ..50 56 595.8 5.2 5.0

846 625 54722 24 ..42 49 ..

155 101 83.. .. ..

53 74 7355 68 690.8 0.9 0.969 70 705.8 4.8 4.5

6,619 6,286 6,1440.5 0.5

.. .. 3.055 63 6825 28 30

646 677 6710.8 0.8 ..511 509 488

363 1,337 1,7453.5 5.2 4.47.6 5.9 3.117 15 1534 28 2749 57 5834 31 2830 31 3316 21 22

20.8 20.3 21.0–2.9 –3.1 –3.4

61 46 27.. .. ..

1.8 1.3 1.01.7 44.4 71.00.5 10.0 19.2

66.5 68.4 61.44 3 4

49 50 46.. .. .... .. .... .. ..

–532 –497 –1,6894.8 29.5 34.26.7 28.2 46.1

13.0 44.3 46.5


Sub-Saharan Africa


For operational and analytical purposes the World Bank’s main criterion for classifying economies is gross national income (GNI) per capita . Each economy in The Little Data Book 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 of more than $1,046 but less than $4,125 .

Upper middle-income economics are those with a GNI per capita of more than $4,126 but less than $12,735 .

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

Income group tables


2000






.. .. ..52 59 61

5.9 5.1 4.8839 593 495

23 30 ..34 52 ..

150 96 7647.9 40.5 37.6

53 75 7751 69 71

0.9 0.9 0.977 78 78

4.5 3.2 2.9

4,017 3,780 3,7500.6 0.2

.. .. 3.152 61 6620 26 28

.. .. ..0.3 0.3 ..

.. .. ..

111 281 3981.8 6.7 6.36.3 5.5 2.735 33 3220 20 2245 46 4720 24 2431 41 4317 22 28.. 13.4 .... –1.7 ..

67 45 27.. 57.3 59.8

2.4 1.8 1.50.3 29.1 56.70.1 3.3 6.3

20.2 19.8 23.42 .. 5

33 48 51.. .. ..

105 120 16710.4 4.0 6.1–867 –2,673 –1,166

1.5 9.3 13.91.7 9.1 16.88.3 36.3 34.6

Population (millions) 622.0 Population growth (%) 2.7Surface area (1,000 sq. km) 14,456 Population living below $1.90 a day (%) 47.2GNI, Atlas ($ billions) 390.3 GNI per capita, Atlas ($) 628GNI, PPP ($ billions) 977.0 GNI per capita, PPP ($) 1,571

Low income


2000





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ billions)Total debt service (% of exports)Net migration (millions)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ billions)

.. .. ..63 66 673.5 3.0 2.8411 286 25346 52 ..46 57 ..93 64 53

45.6 36.8 33.564 80 7977 91 91

0.8 1.0 1.061 59 59

.. .. ..

5,663 5,506 5,3360.3 0.6

.. .. 17.978 86 9039 48 52

526 623 6361.1 1.4 ..

441 661 743

1,307 4,531 5,7814.2 7.5 5.76.7 7.8 4.022 17 1731 30 3147 52 5226 26 2625 30 2922 29 27

13.9 14.9 15.0–3.1 –3.2 –3.9

52 36 20.. 70.0 70.4

2.4 2.0 1.81.1 67.6 87.60.6 11.8 22.6

49.6 56.2 61.316 9 12

42 43 45.. .. ..

594 1,075 1,52716.7 10.8 14.5

–14.5 –17.2 –16.042 191 24811 95 119

18.9 40.4 51.1


Lower middle income


2000






.. .. ..71 74 75

1.9 1.8 1.888 64 5578 83 ..92 98 ..40 24 19

18.7 9.8 7.587 96 9591 103 ..

1.0 1.0 1.071 67 67

.. .. ..

11,852 11,798 11,8020.0 0.0

.. .. 7.484 92 9566 76 80

1,080 1,757 2,0153.0 5.4 ..

1,311 2,673 3,214

3,859 13,407 18,9585.9 8.1 4.5

11.3 5.4 2.210 7 738 38 3652 54 5726 29 2825 28 2727 33 32

.. 18.1 ..

.. .. ..

51 39 24.. 71.4 71.5

1.8 1.9 1.98.0 75.4 101.42.5 32.8 47.7

78.3 108.1 132.822 21 21

45 49 46.. .. ..

1,043 2,470 3,69921.4 8.6 7.4

–5,010 –4,878 71935 92 116

112 425 5269.4 13.0 16.7


Upper middle income


2000





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ millions)Total debt service (% of exports)Net migration (millions)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ millions)

.. .. ..76 78 791.7 1.7 1.722 19 17

.. .. ..

.. .. ..11 8 7

4.1 3.5 3.391 93 9496 98 991.0 1.0 1.060 61 61

.. .. ..

18,933 18,980 19,0120.0 0.0

.. .. 7.198 99 9995 96 96

4,808 4,782 4,60811.7 11.2 ..

8,068 8,654 8,508

28,012 47,394 52,8504.0 3.0 1.73.1 1.5 1.2

2 1 228 25 2570 74 7425 28 3025 28 3024 20 21

28.0 16.6 17.71.0 –5.5 –2.7

39 23 15.. .. ..

2.2 2.8 2.542.4 115.4 125.726.1 67.6 80.6

186.0 195.8 202.225 17 18

39 47 50.. .. .... .. .... .. ..

20.2 24.8 16.557 118 150

1,194 1,219 900571 728 431

Population (millions) 1,398.4 Population growth (%) 0.5Surface area (1,000 sq. km) 57,725 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 53,561.2 GNI per capita, Atlas ($) 38,301GNI, PPP ($ billions) 56,961.0 GNI per capita, PPP ($) 40,732

High income


Country tablesChina

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

Cyprus

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

Georgia

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

Kosovo, Montenegro, and Serbia

Data for each country are shown separately where available . However, some indicators for Serbia prior to 2006 include data for Montenegro; these data are noted in the table . 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 .


2000

2010 2014

.. .. ..55 59 607.5 5.7 4.8

1,100 584 3965 22 ..

12 34 ..137 105 91

.. .. ..27 62 66

.. .. ..0.0 0.6 0.748 48 480.1 0.1 0.1

14 14 140.0 0.0

43.0 .. 43.030 48 5523 29 32

.. .. ..0.04 0.30 ..

.. .. ..

2.5 15.9 20.08.4 8.4 1.3

11.7 9.4 0.238 27 2324 22 2238 51 5432 10 765 45 4612 18 18

.. 11.0 9.9

.. 1.5 –0.6

.. 7 7

.. 52.2 51.12.3 1.9 1.30.0 45.8 74.90.0 4.0 6.4

.. 4.2 –2.3

.. .. ..

72 35 41100 144 138

.. 2.4 2.6

.. 0.4 1.8804 –677 473

.. 342 2680.2 54.2 48.80.1 6.5 4.8





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ billions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ millions)Foreign direct investment, net inflows ($ millions)Net official development assistance received ($ billions)

South Asia Low income

Population (millions) 31.6 Population growth (%) 3.0Surface area (1,000 sq. km) 653 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 21.4 GNI per capita, Atlas ($) 680GNI, PPP ($ billions) 63.2 GNI per capita, PPP ($) 2,000

Afghanistan


2000

2010 2014

8.2 8.9 8.974 77 78

2.2 1.7 1.843 30 2958 69 ..99 99 ..26 17 14

39.2 23.1 ..95 99 9897 93 108

1.0 1.0 0.962 55 55

.. .. ..

7.7 7.8 7.7–0.1 0.1

6.8 4.9 4.996 96 9583 91 93

571 725 8001.0 1.5 ..

1,437 1,947 2,531

3.6 11.9 13.26.7 3.7 2.24.0 4.5 1.026 21 2317 29 2557 51 5218 32 2838 53 4732 30 25

23.5 .. ..–6.7 .. ..

41 7 6.. 70.0 72.2

1.2 1.6 1.00.9 85.5 105.50.1 45.0 60.1

49.0 66.7 68.11 1 0

37 50 58100 92 901.1 5.2 8.03.7 5.2 8.6

–175 –253 –920.6 1.2 1.10.1 1.1 1.1

318 364 280





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ billions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ millions)

Europe & Central Asia Upper middle income

Population (millions) 2.9 Population growth (%) –0.1Surface area (1,000 sq. km) 29 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 12.9 GNI per capita, Atlas ($) 4,450GNI, PPP ($ billions) 31.8 GNI per capita, PPP ($) 10,980

Albania


2000

2010 2014

.. .. ..70 74 75

2.5 2.9 2.9170 147 14064 61 5793 95 9740 27 26

23.6 .. 11.780 95 9580 96 1091.0 1.0 ..44 43 440.1 0.1 0.1

16 19 20–2.0 –0.4

50.9 .. 74.990 86 8484 87 88

866 1,112 1,2462.8 3.3 ..

680 1,015 1,277

55 161 2142.2 3.6 3.8

24.6 16.1 –0.49 9 11

59 54 4633 37 4341 38 3121 31 3225 41 46

38.3 37.1 ..9.7 0.4 ..

25 24 20.. 58.9 53.3

3.4 3.5 5.60.3 88.4 92.90.5 12.5 18.1

28.3 –6.6 18.04 1 0

57 60 57100 225 265

25.5 7.2 5.5.. 1.0 0.4

–205 –357 –143790 197 3040.3 2.3 1.5

200 198 158





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ billions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ millions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ millions)

Middle East & North Africa Upper middle income

Population (millions) 38.9 Population growth (%) 1.9Surface area (1,000 sq. km) 2,382 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 213.8 GNI per capita, Atlas ($) 5,490GNI, PPP ($ billions) 540.5 GNI per capita, PPP ($) 13,880

Algeria


2000

2010 2014

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..100 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

180 180 1800.2 0.2

.. .. ..98 100 10062 62 63

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..3.5 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..100 157 137

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..


EnvironmentForests (sq. km)Deforestation (avg. annual %, 2000–10 and 2010–15)Freshwater use (% of internal resources)Access to improved water source (% total pop.)Access to improved sanitation facilities (% total pop.)Energy use per capita (kilograms of oil equivalent)Carbon dioxide emissions per capita (metric tons)Electricity use per capita (kilowatt-hours)

EconomyGDP ($ millions)GDP growth (annual %)GDP implicit price deflator (annual % growth)Value added in agriculture (% of GDP)Value added in industry (% of GDP)Value added in services (% of GDP)Exports of goods and services (% of GDP)Imports of goods and services (% of GDP)Gross capital formation (% of GDP)Central government revenue (% of GDP)Central government cash surplus/deficit (% of GDP)


Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ millions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ millions)Foreign direct investment, net inflows ($ millions)Net official development assistance received ($ millions)

East Asia & Pacific Upper middle income

Population (thousands) 55 Population growth (%) 0.2Surface area (sq. km) 200 Population living below $1.90 a day (%) ..GNI, Atlas ($ millions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

American Samoa


2000

2010 2014

.. .. ..

.. .. ..

.. 1.3 ..

.. .. ..

.. .. ..

.. .. ..5 3 3.. .. ..

97 99 96.. .. .... .. .... .. .... .. ..

160 160 1600.0 0.0

.. .. ..100 100 100100 100 100

.. .. ..8.0 6.1 ..

.. .. ..

1.4 3.3 3.21.2 –5.3 –0.1

29.2 1.6 0.00 0 1

14 14 1077 78 79

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..36.0 84.1 82.610.5 81.0 95.9

.. .. ..11 .. ..

.. .. ..100 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..






Europe & Central Asia High income

Population (thousands) 73 Population growth (%) –4.2Surface area (sq. km) 470 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 3.3 GNI per capita, Atlas ($) 43,270GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Andorra


2000

2010 2014

3.2 5.4 ..45 51 52

6.9 6.4 6.1924 561 477

6 .. ..45 47 ..

217 183 15750.8 29.2 ..

41 93 85.. 43 ..

0.8 0.8 ..71 70 70

1.6 2.3 2.4

597 585 5790.2 0.2

0.4 0.5 0.546 47 4932 46 52

498 632 6550.6 1.4 ..82 227 227

9.1 83.4 138.43.0 .. ..

418.2 .. ..6 .. ..

72 .. ..22 .. ..90 62 5163 43 3613 29 24

52.8 35.2 37.026.3 0.9 6.1

83 66 36.. 45.6 47.8

6.4 4.2 4.40.2 48.1 63.50.1 10.0 21.3

–14.8 19.1 16.9.. .. ..

120 81 68100 201 2409.8 16.9 28.4

20.9 4.5 11.9173 85 102

.. 18.0 0.00.9 –3.2 1.9

302 237 231






Sub-Saharan Africa Upper middle income

Population (millions) 24.2 Population growth (%) 3.3Surface area (1,000 sq. km) 1,247 Population living below $1.90 a day (%) 30.1GNI, Atlas ($ billions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ billions) 139.1 GNI per capita, PPP ($) 6,340

Angola


2000

2010 2014

.. .. ..73 75 76

2.3 2.1 2.1.. .. ..

53 .. ..100 100 100

16 10 8.. .. ..

95 98 98.. 102 102.. 1.0 1.0.. .. .... .. ..

100 100 1000.2 0.0

.. 16.2 22.198 98 9885 91 ..

.. 1,730 ..4.4 6.0 ..

.. .. ..

784 1,136 1,2215.0 –7.1 4.8

14.5 1.4 –3.02 2 2

16 19 1882 79 8060 46 4564 60 5931 28 26

15.4 20.9 19.9–5.3 –1.4 –1.3

.. 21 21

.. 42.2 57.8

.. .. ..28.3 192.6 132.1

6.5 47.0 64.080.9 100.7 84.6

0 0 0

59 48 45100 73 57

.. .. ..

.. .. ..–0.3 –0.1 –0.120.7 20.2 21.1

43 97 1679.8 19.1 2.1






Latin America & Caribbean High income

Population (thousands) 91 Population growth (%) 1.0Surface area (sq. km) 440 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 1.2 GNI per capita, Atlas ($) 13,300GNI, PPP ($ billions) 1.9 GNI per capita, PPP ($) 21,370

Antigua and Barbuda


2000

2010 2014

3.2 4.4 4.874 75 76

2.6 2.4 2.360 58 5265 .. 7798 95 9720 15 13

.. .. ..91 98 9598 105 1011.0 1.0 1.058 61 610.3 0.4 0.5

319 286 2711.1 1.1

.. .. 12.996 98 9991 95 96

1,662 1,910 1,8953.8 4.3 ..

2,078 2,847 3,093

284 462 538–0.8 9.5 0.5b

1.0 17.2 29.3b

5 8 828 31 2967 61 6311 17 1512 15 1416 19 20

.. .. ..

.. .. ..

66 25 25.. 86.7 95.6

1.1 0.7 0.817.6 141.4 158.87.0 45.0 64.7

34.5 23.2 35.69 8 7

18 27 26100 149 170

.. .. ..64.0 17.1 13.7

–90.0 –85.0 30.086 639 502

10.4 7.8 6.152 121 49

bb





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ millions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ millions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ millions)


Population (millions) 43.0 Population growth (%) 1.0Surface area (1,000 sq. km) 2,780 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 579.2 GNI per capita, Atlas ($) 13,480GNI, PPP ($ billions) .. GNI per capita, PPP ($) ..a

Argentina

a


2000

2010 2014

7.7 8.9 8.571 74 751.7 1.6 1.540 33 2561 55 ..97 100 ..30 18 14

17.7 20.8 ..92 97 9794 100 ..1.1 1.2 ..65 62 640.1 0.2 0.2

3.3 3.3 3.30.1 –0.1

25.3 41.7 42.993 98 10089 90 90

655 838 9691.1 1.4 ..

1,295 1,676 1,870

1.9 9.3 11.65.9 2.2 3.5

–1.4 7.8 2.726 19 2139 37 2935 44 5123 21 2851 45 4719 33 21

17.7 22.6 22.6–0.7 –5.0 –1.3

18 14 3.. 92.2 93.3

3.6 4.3 4.00.6 130.4 115.91.3 25.0 46.3

11.5 27.8 51.35 2 3

62 52 51100 127 1131.0 6.3 8.69.2 29.7 31.7

–144 –136 –100.1 1.7 2.1

104 529 404216 342 265





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ billions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ millions)Net official development assistance received ($ millions)

Europe & Central Asia Lower middle income

Population (millions) 3.0 Population growth (%) 0.5Surface area (1,000 sq. km) 30 Population living below $1.90 a day (%) 2.4GNI, Atlas ($ billions) 12.1 GNI per capita, Atlas ($) 4,020GNI, PPP ($ billions) 25.4 GNI per capita, PPP ($) 8,450

Armenia


2000

2010 2014

.. .. ..74 75 75

1.9 1.7 1.7.. .. .... .. ..

96 .. .... .. .... .. .... .. ..

97 95 ..1.0 1.0 1.0

.. .. ..

.. .. ..

0.0 0.0 0.00.0 0.0

.. .. ..94 97 9898 98 98

.. .. ..25.5 24.2 ..

.. .. ..

1.9 2.5 ..–0.4 –5.7 ..9.1 –5.1 ..

0 0 ..17 16 ..82 83 ..74 62 ..71 75 ..25 28 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..16.5 129.7 135.115.4 62.0 83.844.1 57.5 ..

.. 3 5

272 67 ..100 99 133

.. .. ..

.. .. ..6.3 –0.4 1.37.9 5.0 7.3

–128 187 248–7.4 .. ..








Aruba


2000

2010 2014

6.9 7.1 ..79 82 821.8 1.9 1.9

9 6 671 .. ..

100 .. ..6 5 4.. 1.8 ..

91 94 93.. .. ..

1.0 1.0 1.063 66 65

.. .. ..

1,288 1,232 1,2480.4 –0.2

4.4 3.8 4.0100 100 100100 100 100

5,644 5,649 5,48317.2 16.7 ..

10,194 10,747 10,134

415 1,142 1,4553.9 2.0 2.52.6 1.0 1.4

3 2 227 27 2770 71 7119 19 2121 20 2126 28 27

26.0 23.4 24.61.7 –4.0 –1.5

3 3 3.. .. ..

1.9 2.0 1.844.5 100.4 131.246.8 76.0 84.693.4 154.3 165.9

15 12 14

33 36 33100 179 165

.. .. ..

.. .. ..575 1,133 1,0231.9 1.9 2.3

13.6 35.2 46.3.. .. ..






East Asia & Pacific High income


Australia


2000

2010 2014

.. 8.0 7.878 81 811.4 1.4 1.4

5 4 4.. 70 .... .. ..6 4 4.. .. ..

75 76 76101 99 991.0 1.0 1.058 61 61

.. .. ..

38 39 39–0.1 0.0

6.6 .. 6.6100 100 100100 100 100

3,562 4,080 3,7527.8 8.1 ..

7,076 8,382 8,513

196 390 4373.4 1.9 0.41.4 1.0 1.6

2 1 132 29 2867 70 7143 51 5342 48 4926 23 23

43.3 31.2 32.3–3.0 –3.4 –1.4

25 25 22.. .. ..

1.0 0.8 0.776.3 145.7 151.933.7 75.2 81.0

120.8 135.6 126.915 12 14

71 80 82100 91 88

.. .. ..

.. .. ..178 154 1471.8 2.5 3.38.5 –22.0 8.2

.. .. ..







Population (millions) 8.5 Population growth (%) 0.8Surface area (1,000 sq. km) 84 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 423.9 GNI per capita, Atlas ($) 49,600GNI, PPP ($ billions) 404.9 GNI per capita, PPP ($) 47,380

Austria


2000

2010 2014

7.4 .. ..67 70 712.0 1.9 2.048 27 2555 55 ..84 99 ..74 39 32

24.1 26.8 18.067 89 9890 90 98

.. 1.0 1.064 65 670.1 0.1 0.1

9 10 11–1.5 –2.5

124.1 150.5 147.574 83 8766 82 89

1,403 1,280 1,4743.7 3.4 ..

2,040 1,603 2,093

5.3 52.9 75.211.1 4.9 2.012.5 13.8 0.2

17 6 645 64 5838 30 3639 54 4338 21 2621 18 26

17.6 46.8 41.8–4.7 15.4 6.1

105 8 3.. 78.9 67.8

2.3 2.8 4.85.2 100.1 110.90.1 46.0 61.09.6 23.0 33.8

5 1 7

55 63 50100 155 1841.5 7.0 11.76.4 1.4 5.2

10.7 –96.8 –16.10.1 1.4 1.80.1 3.4 4.4

139 160 215







Population (millions) 9.5 Population growth (%) 1.2Surface area (1,000 sq. km) 87 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 72.4 GNI per capita, Atlas ($) 7,600GNI, PPP ($ billions) 161.3 GNI per capita, PPP ($) 16,920

Azerbaijan


2000

2010 2014

.. .. ..72 75 752.1 1.9 1.961 85 8045 .. ..99 99 9816 14 12

.. .. ..93 94 9282 93 ..1.0 1.0 ..71 74 74

.. .. ..

5.2 5.2 5.20.0 0.0

.. .. ..97 98 9889 91 92

.. 2,072 ..5.6 6.8 ..

.. .. ..

6.3 7.9 8.54.1 1.5 1.00.9 –0.4 –0.1

3 2 218 16 2180 81 7744 41 4447 49 6128 25 29

.. .. ..

.. .. ..

.. 24 29

.. .. ..

.. .. ..10.6 118.8 82.38.0 43.0 76.9

67.3 105.3 102.67 0 0

42 42 48100 83 81

.. .. ..

.. .. ..15.5 14.4 9.7

.. .. ..250 872 266

.. .. ..







Population (thousands) 383 Population growth (%) 1.4Surface area (1,000 sq. km) 14 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 8.0 GNI per capita, Atlas ($) 20,980GNI, PPP ($ billions) 8.5 GNI per capita, PPP ($) 22,290

Bahamas, The


2000

2010 2014

.. .. ..75 76 77

2.8 2.1 2.121 16 15

.. .. ..

.. 100 ..13 8 6

.. .. ..98 99 99

100 .. ..1.0 .. ..66 71 70

.. .. ..

0.0 10.0 10.0–3.6 –2.8

.. 8,935.0 8,935.099 100 10099 99 99

11,948 9,952 10,17228.0 18.4 ..

19,947 17,746 18,217

9.1 25.7 33.95.3 4.3 4.5

30.0 7.4 –1.5.. .. .... .. .... .. ..

79 70 7157 51 4417 27 16

28.9 22.2 ..7.5 –4.8 ..

.. 9 9

.. .. ..4.0 3.3 4.2

30.8 125.2 173.36.2 55.0 91.0

33.9 67.1 75.10 0 1

119 106 102100 126 125

.. .. ..

.. .. ..134 317 30

.. .. ..364 156 95860.4 .. ..






Middle East & North Africa High income

Population (millions) 1.4 Population growth (%) 0.9Surface area (sq. km) 770 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 28.4 GNI per capita, Atlas ($) 21,060GNI, PPP ($ billions) 50.8 GNI per capita, PPP ($) 37,680

Bahrain


2000

2010 2014

8.7 8.9 ..65 70 72

3.2 2.3 2.2399 242 176

54 61 6212 27 4288 50 38

50.8 41.4 36.174 88 89.. 66 .... 1.1 ..

71 71 710.1 0.1 0.1

15 14 140.2 0.2

.. .. 34.276 84 8745 56 61

139 201 2160.2 0.4 ..102 241 293

53.4 115.3 172.95.3 5.6 6.13.4 7.1 5.724 18 1623 26 2853 56 5612 16 1917 22 2624 26 29

8.6 9.7 ..–0.6 –0.8 ..

.. .. 20

.. 68.9 76.71.2 1.2 1.20.2 44.9 80.00.1 3.7 9.6

30.2 57.4 58.60 0 ..

29 41 42100 61 5915.6 25.8 34.910.6 4.7 5.2

–1,700 –3,571 –2,2262.0 10.9 15.00.3 1.2 2.51.2 1.4 2.4






South Asia Lower middle income


Bangladesh


2000

2010 2014

.. .. ..73 75 751.7 1.8 1.848 33 2755 .. ..98 100 9816 15 13

.. .. 7.794 85 9598 96 961.0 1.0 1.070 71 71

.. .. ..

60 60 600.0 0.0

.. 101.3 101.398 99 10087 94 96

.. 1,452 ..4.4 5.4 ..

.. .. ..

3.1 4.4 4.44.5 0.3 0.2

–1.4 –3.7 1.5.. .. .... .. .... .. ..

42 46 3746 50 4818 14 13

27.8 27.1 27.0–2.4 –8.0 –12.2

.. 18 18

.. .. ..

.. .. ..10.7 124.8 128.74.0 65.1 76.7

58.2 106.5 ..23 12 16

46 45 50100 118 114

.. .. ..

.. .. ..–0.1 2.1 2.2115 82 8719 669 275

0.2 16.2 ..








Barbados


2000

2010 2014

8.4 9.0 9.769 70 731.3 1.4 1.626 5 4

.. .. 63100 100 100

14 6 5.. .. ..

98 99 99102 106 981.0 1.0 1.058 55 560.1 0.4 0.5

83 85 86–0.3 –0.2

5.4 5.0 4.5100 100 100

95 95 942,456 2,900 2,882

5.3 6.6 ..2,989 3,564 3,648

12.7 55.2 76.15.8 7.7 1.6

185.3 11.1 18.114 11 939 42 4247 47 4969 53 5772 67 5825 41 33

28.7 31.4 30.00.1 –1.5 0.1

79 10 3.. 85.6 87.8

1.3 1.4 1.30.5 108.9 122.51.9 31.8 59.0

19.2 45.3 42.84 3 4

125 109 101100 101 1172.6 28.4 40.04.9 5.8 12.1–6 64 121

139 575 1,2310.1 1.4 1.9

.. 139 120








Belarus


2000

2010 2014

.. 8.5 8.678 80 811.7 1.9 1.8

9 8 776 70 ..99 .. ..

6 5 4.. .. ..

82 95 96.. 89 90

1.1 1.0 1.152 54 53

.. .. ..

6.7 6.8 6.8–0.2 –0.1

56.2 51.8 51.5100 100 100100 100 100

5,714 5,598 4,81011.2 10.0 ..

8,248 8,388 7,967

238 484 5323.6 2.7 1.32.0 1.9 0.7

1 1 128 23 2271 76 7772 76 8469 75 8324 23 23

42.2 26.2 28.4–0.4 –3.0 –2.4

56 4 4.. .. ..

1.3 1.1 1.054.8 111.1 114.329.4 75.0 85.0

116.1 113.7 116.011 10 13

154 165 174100 96 95

.. .. ..

.. .. ..248 267 2704.0 10.4 11.518 111 –20

.. .. ..








Belgium


2000

2010 2014

3.2 .. ..68 70 703.6 2.7 2.653 37 2856 55 ..

100 94 ..25 19 17

.. 19.3 ..96 98 95

100 101 1021.0 1.0 1.062 65 661.5 1.3 1.2

15 14 140.5 0.4

0.7 .. 0.785 97 10083 89 91

.. 597 ..2.8 1.7 ..

.. .. ..

832 1,397 1,69913.0 3.3 3.6

0.5 1.1 1.017 13 1521 22 1962 65 6653 58 6174 57 6632 13 18

20.4 27.4 26.1–5.7 –1.2 –0.2

.. 43 43

.. 61.1 54.40.9 1.1 1.07.0 62.9 50.76.0 28.2 38.7

43.5 69.6 57.70 5 0

89 85 94100 99 1000.5 1.3 1.3

15.3 14.6 8.45.8 8.7 7.6

26.4 78.1 80.323 96 141

14.7 24.5 36.0





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ billions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ millions)Foreign direct investment, net inflows ($ millions)Net official development assistance received ($ millions)

Latin America & Caribbean Upper middle income

Population (thousands) 352 Population growth (%) 2.2Surface area (1,000 sq. km) 23 Population living below $1.90 a day (%) 13.9GNI, Atlas ($ billions) 1.5 GNI per capita, Atlas ($) 4,350GNI, PPP ($ billions) 2.6 GNI per capita, PPP ($) 7,590

Belize


2000

2010 2014

7.0 6.1 ..55 59 606.0 5.1 4.8572 446 405

19 17 1866 74 77

145 112 10039.1 44.7 34.0

70 68 6337 65 76

0.6 0.8 0.872 73 731.4 1.2 1.1

51 46 431.0 1.1

1.3 .. 1.366 75 7812 17 20

285 384 3930.2 0.5 ..57 84 ..

2.6 7.0 9.65.9 2.1 6.54.3 0.9 –1.326 26 2332 25 2342 49 5321 24 3635 37 4524 23 25

14.6 17.3 16.80.6 1.9 2.7

35 34 12.. 55.6 66.7

0.6 0.9 1.00.8 74.4 99.70.2 3.1 5.37.4 17.2 20.4

0 1 4

39 48 47100 121 1151.4 1.6 2.0

13.6 3.3 4.298.8 50.0 –10.0

87 139 21760 53 377

243 690 600






Sub-Saharan Africa Low income

Population (millions) 10.6 Population growth (%) 2.6Surface area (1,000 sq. km) 115 Population living below $1.90 a day (%) 53.1GNI, Atlas ($ billions) 9.5 GNI per capita, Atlas ($) 890GNI, PPP ($ billions) 21.4 GNI per capita, PPP ($) 2,020

Benin


2000

2010 2014

.. .. ..78 79 811.7 1.8 1.6

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..97 100 79

1.0 1.1 1.1.. .. .... .. ..

10.0 10.0 10.00.0 0.0

.. .. ..

.. .. ..

.. .. ..

.. .. ..8.0 7.3 ..

.. .. ..

3.5 5.7 5.69.3 –2.1 –2.5

–4.2 1.0 3.21 1 1

12 8 688 91 93

.. 47 48

.. 30 30

.. 13 12

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..20.7 135.8 90.942.9 84.2 96.8

.. .. ..

.. .. 28

22 17 18100 72 113

.. .. ..

.. .. ..

.. .. ..

.. 1.3 1.367 223 –17

.. .. ..





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ millions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ millions)Net official development assistance received ($ millions)

North America High income


Bermuda


2000

2010 2014

0.3 6.7 6.861 68 69

3.6 2.3 2.0423 204 148

31 66 ..24 65 7580 42 33

47.7 33.6 ..78 95 9751 90 97

0.9 1.0 1.067 72 73

.. .. ..

26 27 28–0.4 –0.4

.. .. 0.484 96 10031 47 50

.. 358 ..0.7 0.7 ..

.. .. ..

439 1,585 1,9596.9 11.7 5.52.3 6.0 7.627 17 1836 45 4337 38 3929 42 3653 71 5748 62 58

22.9 22.9 ..–2.4 0.5 ..

62 46 15.. 75.6 68.9.. .. ..

0.0 55.0 82.10.4 13.6 34.42.9 45.6 47.3

0 0 0

63 94 70100 133 123212 935 1,840

.. 14.4 12.235.0 16.8 10.0

.. 8.3 14.31.1 75.3 8.453 130 130








Bhutan


2000

2010 2014

0.8 3.7 3.461 66 684.1 3.2 3.0

334 253 20653 61 ..69 84 8580 47 38

32.5 27.2 ..84 88 95

100 98 961.0 1.0 1.071 72 73

0.2 0.3 0.3

601 562 5480.7 0.5

.. .. 0.779 87 9038 47 50

588 645 7861.2 1.5 ..

420 604 705

8.4 19.6 33.02.5 4.1 5.55.2 8.8 2.015 13 1330 37 3755 50 5018 41 4327 34 4218 17 21

.. .. ..

.. .. ..

60 50 50.. 66.7 78.9

2.1 1.7 1.56.9 70.7 96.31.4 22.4 39.0

62.0 49.4 55.240 8 8

36 61 69100 201 2035.9 5.7 8.8

39.8 9.4 7.3–90.0 –84.0 –61.8

127 960 1,184736 622 73482 715 672






Latin America & Caribbean Lower middle income

Population (millions) 10.6 Population growth (%) 1.5Surface area (1,000 sq. km) 1,099 Population living below $1.90 a day (%) 7.7GNI, Atlas ($ billions) 30.3 GNI per capita, Atlas ($) 2,870GNI, PPP ($ billions) 66.4 GNI per capita, PPP ($) 6,290

Bolivia


2000

2010 2014

8.9 7.5 ..74 76 76

1.4 1.3 1.317 13 1148 36 46

100 100 1009 7 5

12.1 11.8 8.980 91 89

.. .. ..

.. .. ..45 45 45

.. .. ..

22 22 220.0 0.0

.. 0.9 0.998 99 10095 95 95

1,146 1,690 1,6883.6 5.5 ..

2,008 3,049 3,219

5.5 17.2 18.55.5 0.8 1.1

28.8 1.5 1.011 8 723 27 2766 64 6629 30 3476 51 5721 16 18

.. 23.1 22.9

.. –2.0 –1.7

68 94 67.. 62.2 67.8

3.6 1.3 1.12.4 80.9 91.31.1 42.8 60.8

37.4 53.2 60.32 3 2

76 82 91100 100 982.8 9.9 10.6

14.2 14.1 11.834.8 3.7 –2.5

1.6 1.8 2.1146 444 497738 508 632








Bosnia and Herzegovina


2000

2010 2014

2.3 2.8 ..49 63 643.4 2.9 2.8311 169 12944 53 ..94 95 ..83 54 44

29.1 31.4 ..91 96 9790 96 1001.0 1.0 1.075 77 77

29.0 26.0 25.2

125 114 1081.0 0.9

8.1 .. 8.195 96 9652 61 63

1,034 1,066 1,0982.5 2.6 ..

1,094 1,555 1,564

5.8 12.8 15.82.0 8.6 4.4

14.2 8.9 8.03 3 2

51 37 3946 61 5852 38 5040 50 4330 41 31

.. 36.3 36.7

.. –7.5 1.4

125 59 48.. 60.0 45.6

3.2 2.7 1.912.7 120.0 167.32.9 6.0 18.5

–65.7 10.9 8.51 0 0

82 81 98100 85 850.5 1.8 2.42.0 1.3 0.6

21.3 18.7 20.026.2 22.3 48.3

57 136 39331 153 100








Botswana


2000

2010 2014

2.4 3.3 3.370 73 742.4 1.8 1.866 65 44

.. 81 ..96 98 9832 17 16

.. 7.1 ..99 99 97

.. .. ..

.. .. ..68 70 70

.. .. ..

5,213 4,985 4,9350.4 0.2

.. 1.0 1.394 97 9875 81 83

1,066 1,339 1,4381.9 2.1 ..

1,887 2,339 2,529

655 2,209 2,4174.1 7.5 0.15.9 8.4 6.9

6 5 527 27 2468 68 7110 11 1112 12 1419 22 21

19.6 25.4 23.8–1.8 –1.6 –1.8

.. .. 83

.. 83.3 65.61.7 1.5 1.3

13.3 100.9 139.02.9 40.7 57.6

70.7 93.4 105.119 11 11

17 18 19100 131 130242 352 557

85.9 18.4 21.60.0 0.0 15.91.6 2.8 2.6

32.8 53.3 96.9231 450 912







Population (millions) 206.1 Population growth (%) 0.9Surface area (1,000 sq. km) 8,516 Population living below $1.90 a day (%) 4.9GNI, Atlas ($ billions) 2,429.7 GNI per capita, Atlas ($) 11,790GNI, PPP ($ billions) 3,209.4 GNI per capita, PPP ($) 15,570

Brazil


2000

2010 2014

.. .. ..75 78 79

2.3 2.0 1.931 27 23

.. .. ..99 100 ..

9 9 10.. 19.7 ..

99 94 97116 106 1011.0 1.0 1.068 65 64

.. .. ..

4.0 3.8 3.80.4 0.0

.. .. 1.1

.. .. ..

.. .. ..7,214 8,239 7,39318.5 21.9 ..

7,605 8,706 9,704

6.0 12.4 17.12.8 2.6 –2.3

29.0 5.3 10.11 1 1

64 67 6835 32 3167 81 7136 33 3613 16 27

.. .. ..

.. .. ..

.. 108 14

.. .. ..4.1 3.2 3.1

28.6 108.6 110.19.0 53.0 68.8

38.6 25.1 25.50 .. 8

83 93 82100 181 201

.. .. ..

.. .. ..2.3 2.4 2.1

.. .. ..61 481 568

.. .. ..







Population (thousands) 417 Population growth (%) 1.4Surface area (1,000 sq. km) 5.8 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 15.1 GNI per capita, Atlas ($) 37,320GNI, PPP ($ billions) 29.3 GNI per capita, PPP ($) 72,190

Brunei Darussalam


2000

2010 2014

7.1 6.3 6.272 74 75

1.3 1.6 1.521 11 1163 69 ..

100 100 10021 13 10

.. .. ..89 97 9397 105 99

1.0 1.0 1.050 53 53

.. .. ..

34 37 38–1.0 –0.5

27.1 29.5 29.1100 100 9986 86 86

2,277 2,416 2,3275.3 6.0 ..

3,674 4,560 4,640

13.1 49.9 56.75.0 0.1 1.67.2 1.2 0.413 5 526 28 2762 68 6836 54 6542 56 6619 23 21

32.3 28.2 28.5–0.4 –3.3 –0.8

32 18 18.. 91.1 84.4

2.7 1.8 1.59.2 138.0 137.75.4 46.2 55.5

17.1 67.9 62.53 8 7

87 92 113100 110 10812.0 50.6 48.718.2 12.2 15.2

–83.0 –83.0 –50.00.1 1.4 1.71.0 1.2 2.0

.. .. ..







Population (millions) 7.2 Population growth (%) –0.6Surface area (1,000 sq. km) 111 Population living below $1.90 a day (%) 2.0GNI, Atlas ($ billions) 55.0 GNI per capita, Atlas ($) 7,620GNI, PPP ($ billions) 121.6 GNI per capita, PPP ($) 16,840

Bulgaria


2000

2010 2014

5.8 6.7 ..50 57 596.6 5.9 5.5

547 417 37112 16 ..31 66 ..

186 114 8945.5 35.1 ..

48 92 8825 47 610.7 0.9 0.983 84 832.4 1.1 0.9

62 56 541.0 1.1

5.7 6.5 6.560 78 8212 17 20

.. .. ..0.09 0.11 ..

.. .. ..

2.6 9.0 12.51.8 8.4 4.0

–0.8 3.8 –0.433 36 3422 23 2346 41 4310 19 2925 30 3620 27 31

11.7 15.3 18.7–4.6 –4.5 –3.9

40 14 13.. 62.2 67.8

1.4 1.4 1.30.2 36.7 71.70.1 2.4 9.4

14.3 16.1 28.83 8 11

31 41 50100 121 1141.4 2.1 2.5

18.8 2.5 2.7–125 –125 –125

67 120 12123 39 342

0.2 1.0 1.1








Burkina Faso


2000

2010 2014

5.1 .. ..51 55 577.1 6.3 5.9

954 808 71216 22 ..25 60 ..

152 99 8263.1 57.5 ..

72 92 9424 50 67

0.8 0.9 1.084 82 833.3 1.6 1.1

2.0 2.5 2.8–2.5 –1.8

2.9 .. 2.972 75 7644 47 48

.. .. ..0.04 0.02 ..

.. .. ..

0.9 2.0 3.1–0.9 3.8 4.738.9 12.3 8.3

48 40 3917 17 1835 43 42

6 9 816 39 343 31 28

15.8 .. ..–2.4 .. ..

13 13 4.. 54.4 55.6

4.9 2.7 2.00.2 18.2 30.50.1 1.0 1.4

21.6 25.1 23.40 8 1

23 30 29100 153 138

1,126 621 69040.9 2.4 13.7113 164 40

.. 34.5 50.811.7 0.8 6.9

93 629 502







Population (millions) 10.8 Population growth (%) 3.3Surface area (1,000 sq. km) 28 Population living below $1.90 a day (%) 77.7GNI, Atlas ($ billions) 2.9 GNI per capita, Atlas ($) 270GNI, PPP ($ billions) 8.3 GNI per capita, PPP ($) 770

Burundi


2000

2010 2014

4.2 5.0 ..70 73 733.7 2.5 2.383 51 4253 .. ..89 .. ..36 28 25

.. .. ..86 97 93

102 98 1001.0 1.0 1.064 67 680.8 1.0 1.1

820 850 900–0.4 –1.1

7.3 .. 7.382 89 9244 64 72

.. 214 ..0.4 0.6 ..

.. .. ..

539 1,664 1,87114.3 1.5 2.8–7.9 0.5 –0.9

13 8 822 18 1765 74 7527 29 ..61 58 ..

.. 48 ..

.. 26.0 ..

.. –0.4 ..

.. 11 10

.. 73.3 66.71.3 0.5 0.64.5 76.3 121.81.8 30.0 40.3

64.7 76.1 84.61 1 0

45 47 45100 103 101320 892 1,53710.7 5.6 4.9–9.9 –25.9 –11.1

87 131 19133 116 13294 328 230






Sub-Saharan Africa Lower middle income

Population (thousands) 514 Population growth (%) 1.3Surface area (1,000 sq. km) 4.0 Population living below $1.90 a day (%) 17.6GNI, Atlas ($ billions) 1.8 GNI per capita, Atlas ($) 3,450GNI, PPP ($ billions) 3.2 GNI per capita, PPP ($) 6,200

Cabo Verde


2000

2010 2014

.. 8.4 9.158 66 683.8 2.9 2.6

484 202 16124 51 5632 71 89

108 43 2949.2 40.9 32.4

65 93 9451 85 96

0.8 0.9 ..79 83 831.7 0.8 0.6

115 101 951.3 1.3

.. 1.8 1.842 64 7616 34 42

280 369 3960.2 0.3 ..33 144 221

3.7 11.2 16.88.8 6.0 7.1

–3.2 3.1 1.738 36 3023 23 2739 41 4350 54 6262 60 6718 17 22

10.3 11.5 15.2–3.4 –3.5 –1.0

94 102 87.. 73.3 76.7

2.2 1.6 1.71.1 56.7 132.70.0 1.3 9.06.4 22.7 47.2

0 0 0

91 106 145100 74 692.6 3.7 6.81.7 1.0 1.4–35 –296 –150121 153 377149 735 1,730396 733 799






East Asia & Pacific Low income


Cambodia


2000

2010 2014

6.2 5.8 ..52 54 555.6 5.0 4.7

750 676 59626 23 3460 64 65

150 105 8836.7 32.6 ..

49 79 8049 70 72

0.9 0.9 0.969 70 705.5 5.1 4.8

221 199 1881.0 1.1

0.4 .. 0.462 72 7642 45 46

396 338 3310.2 0.3 ..171 258 278

9.3 23.6 32.14.2 3.3 5.92.9 2.6 2.422 23 2236 30 3042 47 4823 17 2220 23 3117 19 21

14.1 .. ..0.1 .. ..

45 19 15.. 66.7 55.6

1.3 1.5 1.30.6 41.9 75.70.3 4.3 11.0

14.4 10.3 16.31 5 5

36 38 37100 152 15610.6 3.2 5.320.8 3.6 2.7

–90.0 –90.0 –60.030 115 251

159 536 501377 541 852








Cameroon


2000

2010 2014

6.9 7.1 ..79 81 821.5 1.6 1.6

9 8 774 .. ..98 100 ..

6 6 5.. .. ..

96 95 9597 .. ..

1.0 1.0 1.065 67 66

.. .. ..

3,478 3,473 3,4710.0 0.0

.. 1.4 1.4100 100 100100 100 100

8,174 7,392 7,24717.4 14.6 ..

16,991 15,342 15,519

739 1,614 1,7855.1 3.4 2.44.3 2.6 1.8

.. 2 ..

.. 28 ..

.. 71 ..44 29 3239 31 3321 23 24

.. 13.9 13.9

.. –2.4 –0.6

4 6 2.. .. ..

1.1 1.2 1.028.4 75.7 81.051.3 80.3 87.1

111.5 173.1 ..20 14 15

71 49 53100 123 125

.. .. ..

.. .. ..1,027 1,230 1,176

.. 1.2 1.266.1 28.6 57.2

.. .. ..








Canada


2000

2010 2014

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

130 130 1300.0 0.0

.. .. ..93 97 9796 96 96

.. .. ..10.9 10.2 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. 0 0

.. 5 5

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..25.7 181.2 153.7

.. 66.0 74.1

.. .. ..

.. .. ..

.. .. ..100 74 62

.. .. ..

.. .. ..

.. .. ..

.. .. ..7.6 8.7 18.6

.. .. ..








Cayman Islands


2000

2010 2014

5.2 3.3 ..45 48 515.4 4.6 4.3

1,200 909 88228 15 ..44 54 ..

175 150 13044.6 40.7 ..

36 53 49.. 40 44

0.7 0.7 0.778 79 799.6 5.2 4.3

224 222 2220.1 0.1

0.0 0.1 0.163 67 6917 21 22.. .. ..

0.07 0.06 .... .. ..

915 1,986 1,723–2.5 3.0 1.08.5 2.0 11.052 54 5815 14 1233 32 3020 12 1225 27 3711 14 10

.. 9.9 11.1

.. –9.0 0.7

22 24 22.. 55.6 52.2

1.1 2.6 ..0.1 22.5 24.50.1 2.0 4.0

12.0 22.7 33.60 17 0

30 22 20100 81 74872 614 657

.. .. ..–45.0 5.0 10.0

.. .. ..0.9 61.5 3.575 261 610








Central African Republic


2000

2010 2014

6.3 4.9 ..48 50 527.4 6.6 6.2

1,370 1,040 8568 5 ..

16 23 ..190 160 139

39.3 38.7 ..28 46 5422 31 380.6 0.7 0.772 72 72

3.3 3.0 2.5

63 55 491.4 2.4

5.7 5.9 5.945 50 5110 12 12

.. .. ..0.02 0.04 ..

.. .. ..

1.4 10.7 13.9–0.9 13.6 7.35.3 6.4 0.342 53 5311 12 1546 34 3217 37 3435 44 4223 34 34

.. .. ..

.. .. ..

62 62 60.. 56.7 65.6

1.5 5.8 ..0.1 24.5 39.80.0 1.7 2.5

12.3 7.6 11.0.. .. ..

36 56 57100 177 1971.1 2.2 2.9

.. .. ..219 70 100

.. .. ..115 313 761131 491 388








Chad


2000

2010 2014

.. .. ..78 80 811.4 1.4 1.5

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..60 59 59

.. .. ..

8.0 8.0 8.0.. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

6.4 11.5 ..5.8 5.9 ..3.9 3.3 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..4.6 4.5 3.7

.. .. ..

.. .. ..

.. .. ..







Population (thousands) 163 Population growth (%) 0.5Surface area (sq. km) 190 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Channel Islands


2000

2010 2014

3.7 4.5 4.677 80 812.1 1.8 1.831 26 2261 58 ..

100 100 10011 9 8

2.8 2.0 1.897 93 94

.. 96 971.0 1.0 1.055 60 62

0.2 0.3 0.3

158 162 177–0.2 –1.8

.. 4.0 4.095 98 9992 98 99

1,659 1,813 2,1873.9 4.2 ..

2,528 3,316 3,879

79 218 2584.5 5.8 1.9

10.3 8.8 5.46 3 3

32 40 3562 57 6229 38 3429 32 3223 22 21

20.5 21.5 21.0–1.4 –0.4 –0.6

42 35 6.. 94.4 95.6

2.7 2.2 2.022.0 115.8 133.316.6 45.0 72.469.9 104.8 120.3

3 5 6

48 60 57100 157 135

.. .. ..

.. .. ..94 139 20113 4 136

4.9 15.7 22.049 197 241








Chile


2000

2010 2014

6.4 4.7 ..72 75 761.4 1.5 1.658 35 2784 89 8897 100 10037 16 11

17.8 9.4 ..84 99 99

.. .. ..1.0 1.0 1.077 71 71

.. .. ..

1,770 2,006 2,083–1.3 –0.8

.. 19.7 19.780 91 9659 71 77

919 1,846 2,2262.7 6.2 ..

993 2,944 3,762

1,205 6,040 10,3558.4 10.6 7.32.0 6.9 0.915 10 945 46 4340 44 4821 26 2319 23 1935 47 46

.. 11.3 ..

.. .. ..

.. .. 31

.. 65.6 70.01.8 2.0 2.16.7 63.2 92.31.8 34.3 49.3

119.0 143.6 169.319 28 25

39 49 42100 82 84146 560 9609.1 3.5 1.9

–2,144 –2,202 –1,8004.8 13.6 29.938 244 289

1,712 645 –960




States and marketsStarting a business (days)Overall level of statistical capacity (scale 0–100)Military expenditures (% of GDP)c

Mobile cellular subscriptions (per 100 people)Individuals using the Internet (% of population)Domestic credit provided by financial sector (% of GDP)High-technology exports (% of manufactured exports)




China


2000

2010 2014

1.9 3.2 3.471 73 74

2.4 2.0 1.997 72 6477 79 ..86 95 9925 19 16

18.1 12.7 ..88 88 9195 124 ..1.0 1.0 ..65 67 680.5 0.4 0.4

618 586 5850.5 0.0

0.4 .. 0.590 91 9175 79 81

639 680 6691.4 1.7 ..

829 1,078 1,177

100 287 3784.4 4.0 4.6

31.8 3.9 1.89 7 6

29 35 3662 58 5816 16 1617 18 2115 22 26

15.5 21.5 25.6–3.1 –4.7 –5.5

43 10 11.. 84.4 84.4

3.0 3.6 3.55.7 95.8 113.12.2 36.5 52.6

30.4 66.0 71.18 5 8

25 28 31100 149 14633 64 102

29.8 20.3 19.5–159 –143 –145

1.6 4.0 4.22.4 6.4 16.2

186 675 1,221








Colombia


2000

2010 2014

.. .. ..59 62 635.4 4.8 4.5

499 388 33526 .. 1962 .. 82

101 86 7446.9 .. 32.1

70 72 8048 73 740.8 .. 1.055 57 58

.. .. ..

450 390 3701.4 1.0

0.8 .. 0.890 90 9025 33 36

.. 63 ..0.2 0.2 ..

.. .. ..

204 517 62410.8 2.2 2.1–4.5 3.1 2.1

39 41 3611 12 1250 47 5323 17 1728 53 63

6 15 28.. .. .... .. ..

.. 22 15

.. 50.0 42.2

.. .. ..0.0 24.2 50.90.3 5.1 7.0

14.1 22.8 29.20 0 0

28 49 48100 76 94227 281 1456.4 4.7 0.7

–10.0 –10.0 –10.0.. 87 121

0.1 8.3 14.018.7 67.2 74.0







Population (thousands) 770 Population growth (%) 2.4Surface area (1,000 sq. km) 1.9 Population living below $1.90 a day (%) 13.5GNI, Atlas ($ millions) 605.4 GNI per capita, Atlas ($) 790GNI, PPP ($ millions) 1,098.3 GNI per capita, PPP ($) 1,430

Comoros


2000

2010 2014

.. .. 5.550 57 597.1 6.4 6.0

874 794 69331 17 2061 80 80

161 116 9844.4 43.5 42.6

46 74 7734 61 67

.. 0.8 0.872 72 721.7 1.2 1.0

1,572 1,541 1,5260.2 0.2

0.1 0.1 0.147 51 5223 27 29

290 301 2920.03 0.05 ..

95 102 110

19.1 20.5 33.1–6.9 7.1 9.0

2,630.1 17.4 1.332 23 2123 34 3345 42 4611 43 3316 48 3914 16 21

0.8 15.0 ..–0.9 2.4 ..

166 84 11.. 35.6 57.8

0.2 0.9 1.40.0 19.0 53.50.0 0.7 3.01.3 0.8 8.6

.. .. ..

8 48 41100 138 12311.8 6.2 5.5

.. 3.1 3.3–242 –43 –96

.. 15.7 22.472 124 –344

0.2 3.5 2.4







Population (millions) 74.9 Population growth (%) 3.2Surface area (1,000 sq. km) 2,345 Population living below $1.90 a day (%) 77.2GNI, Atlas ($ billions) 28.7 GNI per capita, Atlas ($) 380GNI, PPP ($ billions) 48.8 GNI per capita, PPP ($) 650

Congo, Dem. Rep.


2000

2010 2014

.. 5.7 ..51 59 62

5.1 5.0 4.9653 509 442

.. .. 45

.. .. 93122 61 45

.. 25.0 ..34 75 8058 71 74

0.9 .. 1.068 71 715.4 3.2 2.8

226 224 2230.1 0.1

0.0 .. 0.069 74 7713 14 15

226 409 5560.3 0.5 ..96 147 234

3.2 12.0 14.27.6 8.8 6.8

47.0 20.7 –5.75 4 5

72 75 6923 21 2680 85 7344 55 7023 21 41

32.3 38.4 ..–1.3 39.9 ..

37 161 53.. 54.4 50.0

1.9 1.8 5.02.2 90.4 108.10.0 5.0 7.18.7 –14.3 0.8

.. 4 2

92 112 102100 184 2154.9 2.4 3.91.7 1.8 ..

–13.3 49.9 –60.010.4 14.8 ..166 928 5,50232 1,315 106








Congo, Rep.


2000

2010 2014

3.9 4.5 4.177 79 792.4 1.9 1.838 29 2580 82 ..98 99 ..13 10 10

.. 5.6 ..82 83 9592 99 991.0 1.0 1.060 63 630.1 0.2 0.3

24 26 28–0.9 –1.1

.. .. 2.195 97 9891 94 95

732 1,022 1,0291.4 1.7 ..

1,521 1,901 1,955

15.9 36.3 49.61.8 5.0 3.57.0 8.0 4.7

9 7 632 26 2558 67 6949 38 3546 41 3717 21 19

20.9 16.1 16.5–1.3 –4.5 –5.2

77 60 24.. 76.7 84.4.. .. ..

5.4 67.0 143.85.8 36.5 49.4

32.4 50.6 63.052 40 43

77 63 57100 66 634.7 8.2 21.08.1 8.0 21.1

41.8 30.3 19.7136 531 5940.4 1.9 2.69.6 94.0 53.5








Costa Rica


2000

2010 2014

6.1 5.1 ..47 50 52

5.9 5.2 5.0671 717 645

15 13 1863 57 59

146 109 9331.5 39.0 29.6

68 70 6344 54 570.7 .. 0.867 67 67

5.5 4.0 3.5

103 104 104–0.1 0.0

1.8 2.0 2.078 81 8218 21 23

411 505 6050.4 0.3 ..173 219 252

10.7 24.9 34.3–2.1 2.0 8.52.2 5.4 0.925 25 2222 22 2154 53 5741 51 4334 43 3910 13 17

14.9 15.8 16.02.9 –0.6 –2.3

62 40 7.. 58.9 58.9

1.4 1.6 1.52.9 82.2 106.20.2 2.7 14.6

22.4 23.0 29.23 2 4

59 77 69100 163 159

12.2 10.7 10.922.7 5.8 11.6–370 –220 50119 373 378235 358 462351 845 922








Côte d’Ivoire


2000

2010 2014

8.3 9.4 ..73 76 771.4 1.6 1.511 10 869 .. ..

100 100 ..8 5 4.. .. ..

93 96 9491 91 92

1.0 1.0 1.054 52 51

.. .. ..

19 19 19–0.2 0.0

.. .. 1.798 99 10097 97 97

1,760 1,939 1,8144.4 4.7 ..

2,856 3,814 3,754

21.8 59.7 57.13.8 –1.7 –0.44.4 0.8 0.0

6 5 429 27 2964 68 6737 38 4640 38 4420 21 18

35.3 33.6 33.9–5.2 –4.4 –3.4

29 16 12.. 84.4 80.0

3.0 1.7 1.523.1 113.6 104.46.6 56.6 68.6

40.0 90.7 90.89 9 8

57 53 64100 100 99

.. .. ..

.. .. ..–2.6 –22.5 –20.00.6 1.9 2.11.1 1.4 3.966 132 ..








Croatia


2000

2010 2014

.. .. ..77 79 791.6 1.6 1.643 44 3973 78 74

100 100 998 6 6

7.0 .. ..94 99 9996 98 981.0 1.0 1.054 57 570.1 0.1 0.3

24 29 32–1.9 –1.8

.. 13.0 18.391 94 9587 92 93

1,162 1,016 1,0312.3 3.4 ..

1,139 1,294 1,425

30.6 64.3 77.15.9 2.4 2.71.7 1.2 2.7

8 5 ..28 21 ..64 74 ..14 23 2417 18 2013 10 9

.. .. ..

.. .. ..

.. .. ..

.. .. ..3.5 3.3 3.50.1 8.9 22.50.5 15.9 30.0

.. .. ..21 .. ..

21 26 26100 137 112

.. .. ..

.. .. ..–150 –194 –80

.. .. ..

.. .. ..44 129 262








Cuba


2000

2010 2014

.. .. ..

.. 77 78

.. 2.2 2.0

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. 1.0

.. .. ..

.. .. ..

.. .. .... ..

.. .. ..

.. .. ..

.. .. ..15,762 13,816 11,801

.. .. ..7,291 7,471 5,006

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. 138.3 121.6

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. 99

.. .. ..

.. .. ..–6.1 15.4 5.7

.. 150 143

.. 68.9 69.3

.. .. ..








Curaçao


2000

2010 2014

.. 8.6 8.078 79 801.7 1.5 1.415 8 7

.. .. ..99 .. ..

7 4 3.. .. ..

86 87 8698 99 1001.0 1.0 1.061 64 64

.. .. ..

1.7 1.7 1.7–0.1 0.0

27.0 27.7 23.6100 100 100100 100 100

2,265 2,213 1,6917.3 7.0 ..

3,373 4,623 3,595

9.9 25.2 23.25.7 1.4 –2.33.0 2.1 –1.2

4 2 219 17 1177 81 8770 48 5568 53 5321 23 12

53.4 28.6 27.9–5.3 –7.0 –4.6

.. 8 8

.. .. ..2.8 1.9 1.8

23.1 93.7 96.315.3 53.0 69.3

171.0 290.0 307.82 37 6

48 39 37100 98 92

.. .. ..

.. .. ..61.8 44.2 35.0

64 135 260855 71 861

.. .. ..







Population (millions) 1.2 Population growth (%) 1.0Surface area (1,000 sq. km) 9.3 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 22.5 GNI per capita, Atlas ($) 26,370GNI, PPP ($ billions) 24.9 GNI per capita, PPP ($) 29,190

Cyprus


2000

2010 2014

.. 9.4 9.675 77 78

1.2 1.5 1.57 5 4.. 86 ..

100 100 ..7 4 3

2.6 .. ..97 98 9999 107 1001.0 1.0 1.061 58 60

.. .. ..

26 27 27–0.1 –0.1

14.5 15.0 14.0100 100 10099 99 99

3,988 4,238 3,94512.1 10.6 ..

5,704 6,348 6,285

61 207 2054.3 2.3 2.01.7 –1.5 2.5

3 2 337 37 3859 62 5948 66 8450 63 7732 27 25

28.1 27.4 28.3–3.3 –4.5 –2.3

40 17 15.. .. ..

1.9 1.2 1.042.4 122.6 129.59.8 68.8 79.7

45.6 62.9 73.58 15 15

99 125 159100 104 103

.. .. ..

.. .. ..47 251 30

0.3 1.2 1.95.0 10.2 4.9

.. .. ..








Czech Republic


2000

2010 2014

.. 8.0 8.577 79 811.8 1.9 1.7

9 7 6.. .. .... .. ..6 4 4.. .. ..

99 85 90100 99 991.0 1.0 1.066 64 620.1 0.2 0.2

5.9 5.9 6.10.0 –0.8

11.1 9.5 10.9100 100 100100 100 100

3,490 3,511 2,9069.6 8.4 ..

6,482 6,328 6,040

164 320 3423.7 1.6 1.13.0 3.2 0.8

2 1 127 23 2270 76 7645 50 5438 44 4822 18 19

38.5 39.9 41.50.1 –2.6 –1.2

7 6 3.. .. ..

1.5 1.4 1.363.0 115.7 125.939.2 88.7 96.0

141.2 235.7 224.921 14 14

59 56 61100 100 99

.. .. ..

.. .. ..46.3 88.0 96.8

0.7 1.1 1.436.0 –11.8 –0.7

.. .. ..








Denmark


2000

2010 2014

6.0 .. 4.357 60 62

4.5 3.5 3.2401 275 229

9 23 1961 93 87

101 76 6526.5 32.6 33.5

50 85 7126 51 590.7 0.9 0.849 51 523.0 1.8 1.6

60 60 600.0 0.0

6.3 .. 6.382 89 9060 48 47

.. 179 ..0.5 0.6 ..

.. .. ..

551 1,129 1,5890.4 3.5 6.02.4 4.0 3.0

4 4 ..15 17 ..81 79 ..35 57 ..50 77 ..

9 37 .... .. .... .. ..

.. 37 14

.. 44.4 46.74.7 3.6 ..0.0 19.9 32.40.2 6.5 10.7

36.1 36.0 33.2.. 0 ..

43 41 70100 80 84299 770 9576.9 7.8 6.1

–18.2 –20.0 –16.012.3 32.6 35.9

3 37 15372 131 163






Middle East & North Africa Lower middle income

Population (thousands) 876 Population growth (%) 1.3Surface area (1,000 sq. km) 23 Population living below $1.90 a day (%) 18.3GNI, Atlas ($ millions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Djibouti


2000

2010 2014

.. .. ..77 .. ..

1.9 .. .... .. ..

50 .. ..100 100 100

15 19 21.. .. ..

99 99 94119 83 1071.1 1.0 ..

.. .. ..

.. .. ..

470 450 4300.6 0.6

8.3 8.3 10.095 94 ..81 81 ..

.. 607 ..1.5 1.9 ..

.. .. ..

336 494 5240.4 0.7 3.9

25.0 0.2 –0.413 14 1618 14 1569 72 6943 35 3455 54 4820 18 15

23.6 26.4 26.7–5.2 –6.3 –11.8

.. 13 12

.. 46.7 52.2

.. .. ..1.7 148.3 127.58.8 47.5 62.9

61.2 51.1 60.17 0 9

60 53 46100 112 97183 255 2917.4 8.6 10.5

.. .. ..16.3 22.9 23.617.6 24.3 41.115.2 32.5 15.6







Population (thousands) 72 Population growth (%) 0.5Surface area (sq. km) 750 Population living below $1.90 a day (%) ..GNI, Atlas ($ millions) 501.4 GNI per capita, Atlas ($) 6,930GNI, PPP ($ millions) 758.2 GNI per capita, PPP ($) 10,480

Dominica


2000

2010 2014

3.7 4.7 4.971 73 74

2.9 2.6 2.579 75 9265 73 7098 98 9841 34 31

8.0 10.1 7.185 85 8878 91 911.0 1.0 1.063 65 652.0 1.2 1.0

15 18 20–2.0 –1.8

20.7 23.3 30.587 86 8578 82 84

823 740 7312.3 2.2 ..731 1,366 1,517

24.0 53.9 64.15.7 8.3 7.36.9 5.6 1.4

7 7 633 28 2759 65 6737 22 2646 33 3123 27 22

14.0 13.4 15.30.8 –2.9 –3.2

79 15 15.. 67.8 78.9

1.0 0.7 0.68.1 88.8 78.93.7 31.4 49.6

31.9 41.7 50.41 2 4

63 41 42100 71 674.7 13.5 26.75.7 10.5 18.5

–153 –154 –1531.8 3.9 4.81.0 1.4 2.456 175 167








Dominican Republic


2000

2010 2014

3.1 4.1 4.673 75 763.0 2.7 2.5

103 75 6466 .. 8099 91 9434 25 22

32.5 .. 25.299 95 8597 101 113

1.0 1.0 1.067 68 690.4 0.3 0.3

137 129 1250.6 0.6

2.1 2.2 2.280 85 8770 81 85

698 919 9801.7 2.3 ..

638 1,144 1,333

18.3 69.6 100.91.1 3.5 3.7

–7.7 7.5 2.716 10 936 36 3948 53 5232 28 2927 32 3021 28 29

.. .. ..

.. .. ..

92 56 51.. 82.2 72.2

1.5 3.0 2.73.8 98.5 103.91.5 29.0 43.0

30.6 24.0 31.76 8 5

47 55 53100 158 182

13.3 15.0 26.330.5 9.1 13.8–120 –45 –38

1.3 2.6 2.5–23 165 773146 147 160








Ecuador


2000

2010 2014

.. 9.3 ..69 70 713.2 3.2 3.363 40 3356 60 5961 79 9247 29 24

24.6 30.7 22.398 96 9390 104 1040.9 1.0 1.046 49 490.1 0.1 0.1

590 700 730–1.7 –0.8

3,794.4 .. 3,794.496 98 9984 95 95

594 884 8852.1 2.5 ..

984 1,590 1,697

100 219 3015.4 5.1 2.24.9 10.1 11.517 14 1133 38 3950 48 5016 21 1423 27 2320 20 14

24.3 24.8 20.5–6.7 –7.7 –10.1

38 8 8.. 85.6 91.1

3.2 2.1 1.72.1 90.5 114.30.6 21.6 31.7

89.0 69.4 88.20 1 1

20 36 31100 140 150

29.2 36.5 39.69.8 6.1 12.7–68 –279 –2162.9 12.5 19.61.2 6.4 4.81.4 0.6 3.5







Population (millions) 89.6 Population growth (%) 2.2Surface area (1,000 sq. km) 1,001 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 287.7 GNI per capita, Atlas ($) 3,210GNI, PPP ($ billions) 920.7 GNI per capita, PPP ($) 10,280

Egypt, Arab Rep.


2000

2010 2014

3.3 4.7 5.569 72 732.9 2.1 1.984 59 5467 73 7292 96 9832 20 17

24.6 20.6 ..97 92 9491 105 107

0.9 1.0 1.061 62 62

0.5 0.6 0.5

3.3 2.9 2.71.4 1.6

8.8 13.6 13.682 90 9462 71 75

683 698 6931.0 1.0 ..

623 878 915

13.1 21.4 25.22.2 1.4 2.03.1 2.3 1.410 13 1132 27 2758 61 6227 26 2642 43 4417 13 14

139.5 15.0 16.719.8 –2.7 –1.4

115 17 17.. 91.1 91.1

1.3 1.1 1.012.5 123.8 144.0

1.2 15.9 29.752.8 65.3 73.4

3 6 5

60 60 63100 80 814.5 11.1 14.59.9 21.5 19.0

–313 –286 –2401.8 3.5 4.2173 –113 475180 280 98








El Salvador


2000

2010 2014

.. .. ..52 56 58

5.8 5.2 4.8702 379 342

10 13 ..65 68 ..

152 111 9442.6 26.2 ..

51 51 4447 50 510.7 .. ..87 87 87

1.5 6.1 6.2

17 16 160.7 0.7

0.1 .. 0.147 48 4880 76 75

.. 2,642 ..0.9 6.4 ..

.. .. ..

1.0 12.7 15.518.2 –3.8 –0.364.7 35.6 –9.0

.. .. ..

.. .. ..

.. .. ..122 95 96212 81 67131 64 48

.. 49.1 ..

.. –9.5 ..

.. 155 135

.. 32.2 42.2

.. 3.6 1.11.0 57.4 66.40.1 6.0 18.94.7 1.4 4.7

.. .. ..

148 120 123100 206 219

.. .. ..

.. .. ..25.0 20.0 20.0

.. .. ..0.2 2.7 1.9

21.3 84.7 0.6






Sub-Saharan Africa High income


Equatorial Guinea


2000

2010 2014

.. .. ..56 61 64

5.3 4.6 4.3733 579 501

8 8 ..28 34 ..89 56 47

43.7 50.3 ..76 99 9633 44 370.8 0.8 0.883 85 851.8 0.9 0.7

16 15 150.3 0.3

14.8 20.8 20.851 56 5811 15 16

200 158 1640.2 0.1 ..49 58 62

0.7 2.1 ..–3.1 2.2 ..25.0 11.6 ..

13 15 ..20 22 ..66 63 ..10 5 ..58 23 ..22 9 ..

.. .. ..

.. .. ..

.. 84 84

.. 32.2 27.832.7 .. ..0.0 3.2 6.40.1 0.6 1.0

150.5 114.4 ..0 .. ..

72 32 ..100 85 84330 1,042 9084.3 .. ..110 –160 –1603.3 .. ..

27.9 91.0 46.5177 161 83








Eritrea


2000

2010 2014

6.9 7.1 7.270 75 771.4 1.7 1.526 8 9

.. .. ..100 100 ..

11 5 3.. .. ..

93 95 9396 101 1071.0 1.0 1.058 61 62

.. .. ..

22 22 220.0 0.0

11.1 14.4 12.899 100 10097 97 97

3,375 4,223 4,60010.9 13.8 ..

4,540 6,506 6,665

5.7 19.5 26.510.6 2.5 2.93.8 1.5 2.0

5 3 328 28 2867 69 6862 75 8465 69 8029 21 282.0 1.9 1.8

–0.1 0.0 0.0

72 7 4.. .. ..

1.4 1.7 1.940.8 127.3 160.728.6 74.1 84.234.5 6.2 4.5

30 9 11

156 122 130100 98 94

.. .. ..

.. .. ..–18.4 –15.2 –11.9

4 357 5440.4 2.6 1.6

.. .. ..








Estonia


2000

2010 2014

9.1 8.0 ..52 61 64

6.5 4.9 4.4897 523 353

8 29 426 10 16

145 76 5957.4 44.2 40.4

36 64 7022 58 540.7 0.9 0.982 84 84

3.2 1.4 1.2

137 123 1251.1 –0.3

4.6 .. 4.629 48 57

9 22 28435 470 5070.09 0.08 ..

23 48 65

8.2 29.9 55.66.1 12.6 10.39.5 1.4 11.048 45 4212 10 1540 45 43

.. 17 12

.. 32 290 0 38

11.8 10.8 ..–4.2 –2.7 ..

47 20 19.. 80.0 68.9

7.6 1.1 0.70.0 7.9 31.60.0 0.8 2.9

48.6 36.9 ..0 3 8

21 37 42100 129 1375.5 7.3 16.6

13.7 3.9 7.2–83.2 –50.1 –60.0

53 345 646135 288 1,2000.7 3.5 3.6








Ethiopia


2000

2010 2014

.. .. ..78 81 822.6 2.5 2.6

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

0.0 0.0 0.00.0 0.0

.. .. ..

.. .. ..

.. .. ..

.. .. ..14.8 13.0 ..

.. .. ..

1.1 2.3 2.6.. .. .... .. .... .. .... .. ..

51 58 5950 45 5158 48 5730 20 25

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..36.5 119.9 124.132.9 75.2 94.7

.. .. ..0 1 ..

95 70 84100 101 98

.. .. ..

.. .. ..

.. .. ..43 146 161

.. .. ..

.. .. ..







Population (thousands) 48 Population growth (%) –0.1Surface area (1,000 sq. km) 1.4 Population living below $1.90 a day (%) ..GNI, Atlas ($ millions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Faroe Islands


2000

2010 2014

6.3 6.1 ..68 69 703.1 2.7 2.642 34 3044 32 4499 100 10025 24 22

.. .. ..81 94 9495 104 1031.0 1.0 1.157 55 550.1 0.1 0.1

10 10 10–0.1 –0.5

0.3 .. 0.391 95 9675 90 91

.. 628 ..1.1 1.5 ..

.. .. ..

1.7 3.1 4.5–1.7 3.0 6.9–4.7 4.2 3.5

17 11 1122 20 1961 69 7065 58 5570 64 6317 25 .... .. .... .. ..

31 44 58.. 53.3 61.1

1.9 1.6 1.16.8 81.1 98.81.5 20.0 41.8

37.9 132.3 113.10 3 2

84 84 102100 107 107182 553 8642.4 1.2 1.9

–61.8 –28.8 –28.744 174 209

1 357 27929.1 76.5 92.0








Fiji


2000

2010 2014

.. 9.2 9.477 80 811.7 1.9 1.8

5 3 3.. .. ..

100 .. ..4 3 2.. .. ..

96 98 9796 98 991.0 1.0 1.162 60 59

.. .. ..

224 222 2220.1 0.0

2.2 6.1 6.1100 100 100

97 98 986,237 6,820 6,267

10.1 11.5 ..15,304 16,483 15,510

126 248 2725.6 3.0 –0.41.6 0.4 1.6

3 3 336 30 2760 67 7142 39 3833 37 3924 22 21

41.8 23.3 25.25.5 –4.4 –2.6

31 14 14.. .. ..

1.2 1.4 1.372.0 156.3 139.737.2 86.9 92.458.7 152.2 164.7

27 11 8

64 56 55100 91 89

.. .. ..

.. .. ..32 71 107

473 848 9749.1 12.2 14.8

.. .. ..








Finland


2000

2010 2014

.. 7.6 7.879 82 821.9 2.0 2.012 9 882 76 ..

.. .. ..5 4 4.. .. ..

84 89 9097 .. ..

1.0 1.0 1.055 56 56

.. .. ..

153 164 170–0.7 –0.7

16.2 15.8 16.6100 100 10099 99 99

4,136 4,024 3,6566.0 5.5 ..

7,225 7,737 7,379

1,368 2,647 2,8293.9 2.0 0.21.5 1.1 0.6

2 2 223 20 1974 79 7928 26 2927 28 3122 22 22

42.9 19.7 19.8–3.0 –5.5 –3.2

41 7 4.. .. ..

2.5 2.3 2.249.1 91.4 101.214.3 77.3 83.8

102.4 143.6 148.025 25 26

49 43 45100 93 89

.. .. ..

.. .. ..739 481 3328.6 19.9 25.2

42.4 38.9 8.0.. .. ..







Population (millions) 66.2 Population growth (%) 0.4Surface area (1,000 sq. km) 549 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 2,844.3 GNI per capita, Atlas ($) 42,950GNI, PPP ($ billions) 2,655.5 GNI per capita, PPP ($) 40,100

France


2000

2010 2014

.. .. ..72 76 772.5 2.1 2.0

.. .. ..

.. .. ..99 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..59 56 56

.. .. ..

1.1 1.6 1.6–4.0 0.0

.. .. ..100 100 100

98 98 99.. .. ..

2.7 3.3 .... .. ..

3.4 .. ..4.0 .. ..1.0 .. ..

5 .. .... .. .... .. ..5 .. ..

24 .. .... .. .... .. .... .. ..

.. .. ..

.. .. ..

.. .. ..16.8 80.5 91.26.4 49.0 60.7

.. .. ..8 5 15

35 .. ..100 80 81

.. .. ..

.. .. ..0.1 –3.5 –0.5

408 694 66911 64 129

352 .. ..







Population (thousands) 280 Population growth (%) 1.1Surface area (1,000 sq. km) 4.0 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

French Polynesia


2000

2010 2014

.. .. ..59 62 644.5 4.1 3.9

405 322 29133 .. 3186 .. 8985 63 51

26.3 .. 17.555 62 6174 .. ..

1.0 .. ..60 60 615.5 4.7 3.9

220 220 2300.0 –0.9

0.1 0.1 0.184 91 9339 41 42

1,194 1,371 1,4350.9 1.5 ..878 1,023 1,168

5.1 14.4 18.2–1.9 9.1 4.328.1 13.6 –0.9

7 4 452 60 5738 35 3969 58 5433 31 3022 30 27

.. .. ..

.. .. ..

.. 57 50

.. 40.0 40.01.8 0.9 1.49.8 103.5 171.41.2 7.2 9.8

12.5 10.5 13.85 3 ..

70 81 66100 194 2143.9 2.5 4.39.9 .. ..9.6 9.6 5.06.1 .. ..–43 499 97312 104 111








Gabon


2000

2010 2014

4.8 .. ..56 59 605.9 5.8 5.7

887 753 70610 13 955 57 57

119 81 6924.1 23.4 25.0

89 92 9672 73 67

.. 1.0 ..77 78 771.5 2.0 1.8

4.6 4.8 4.9–0.4 –0.3

3.0 .. 3.083 89 9060 59 59

.. 87 ..0.2 0.3 ..

.. .. ..

783 952 8515.5 6.5 0.92.2 4.4 8.3

.. 32 21

.. 14 16

.. 55 6326 24 2931 43 415 18 21.. .. .... .. ..

.. 27 25

.. 67.8 65.60.4 0.8 1.70.5 88.0 119.60.9 9.2 15.67.4 38.9 53.7

0 1 0

26 37 56100 101 103490 512 50014.8 8.1 7.1

–13.7 –13.7 –13.556 116 191

18.3 37.4 28.450 120 100







Population (millions) 1.9 Population growth (%) 3.2Surface area (1,000 sq. km) 11 Population living below $1.90 a day (%) 45.3GNI, Atlas ($ millions) 878.2 GNI per capita, Atlas ($) 460GNI, PPP ($ millions) 3,037.5 GNI per capita, PPP ($) 1,580

Gambia, The


2000

2010 2014

5.4 5.0 5.672 74 751.6 1.8 1.837 40 3641 53 ..96 100 10036 17 12

16.1 11.3 ..73 94 9298 111 1161.0 1.0 1.064 64 650.1 0.2 0.3

28 28 28–0.2 0.0

.. 3.1 3.189 97 10096 89 86

649 795 1,0321.0 1.7 ..

1,453 1,977 2,460

3.1 11.6 16.51.8 6.3 4.84.7 8.5 3.822 8 922 22 2456 69 6623 35 4340 53 6027 22 30

10.4 23.9 25.7–1.6 –4.4 –0.5

25 3 2.. 95.6 88.9

0.6 3.9 2.34.1 90.6 124.90.5 26.9 48.9

21.5 33.2 48.511 2 3

34 60 69100 137 1311.8 9.7 13.9

12.5 17.5 23.2–309 –290 –296

0.3 1.2 2.0131 866 1,647169 628 563







Population (millions) 3.7 Population growth (%) –1.3Surface area (1,000 sq. km) 70 Population living below $1.90 a day (%) 11.5GNI, Atlas ($ billions) 16.7 GNI per capita, Atlas ($) 4,490GNI, PPP ($ billions) 33.8 GNI per capita, PPP ($) 9,080

Georgia


2000

2010 2014

.. 8.0 ..78 80 811.4 1.4 1.4

8 7 6.. .. .... 100 ..5 4 4.. .. ..

92 97 97106 103 1011.0 1.0 1.058 59 60

.. .. ..

114 114 1140.0 0.0

36.6 30.2 30.9100 100 10099 99 99

4,094 3,997 3,75010.1 9.2 ..

6,635 7,264 7,019

1,950 3,417 3,8683.0 4.1 1.6

–0.4 0.8 1.71 1 1

31 30 3068 69 6931 42 4631 37 3924 20 19

29.8 12.6 12.90.6 –3.2 –0.2

45 15 11.. .. ..

1.4 1.4 1.257.7 106.5 120.430.2 82.0 86.2

139.6 164.8 140.619 15 16

54 68 70100 96 97

.. .. ..

.. .. ..1 32 1,250

3.6 12.8 17.6210 86 8

.. .. ..







Population (millions) 81.0 Population growth (%) –1.4Surface area (1,000 sq. km) 357 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 3,853.6 GNI per capita, Atlas ($) 47,590GNI, PPP ($ billions) 3,843.2 GNI per capita, PPP ($) 47,460

Germany


2000

2010 2014

5.8 .. ..57 61 614.7 4.3 4.2

467 325 31922 34 2747 68 71

101 75 6231.3 22.7 18.8

90 93 9272 93 97

0.9 1.0 1.075 69 70

2.3 1.7 1.5

89 92 93–0.3 –0.3

3.2 .. 3.271 83 8910 14 15

334 305 3440.3 0.4 ..

334 283 382

5.0 32.2 38.63.7 7.9 4.0

27.2 16.6 16.739 31 2228 20 2832 49 5049 29 4067 46 4924 26 27

18.1 16.7 ..–6.5 –7.2 ..

21 11 14.. 65.6 65.6

1.0 0.4 0.50.7 71.9 114.80.2 7.8 18.9

39.3 28.4 38.22 2 5

93 59 72100 184 1796.3 9.3 17.6

16.0 3.8 5.1166 189 –5032 136 2,008

0.2 2.5 3.40.6 1.7 1.1





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ billions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ millions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ billions)



Ghana


2000

2010 2014

.. 6.5 5.678 80 81

1.3 1.5 1.34 3 3

76 .. .... .. ..8 5 5.. .. ..

89 99 97.. 98 97

1.0 1.0 1.053 54 53

.. .. ..

36 39 41–0.8 –0.8

16.0 16.4 16.499 100 10096 99 99

2,507 2,483 2,0668.5 7.8 ..

4,586 5,333 5,029

130 299 2364.2 –5.5 0.71.6 0.7 –2.2

6 3 421 16 1673 81 8024 22 3335 31 3526 17 12

40.0 28.6 33.6–5.1 –10.6 –14.6

38 19 13.. .. ..

3.5 2.7 2.354.0 110.6 110.3

9.1 44.4 63.286.8 147.6 138.6

14 10 10

35 32 42100 89 87

.. .. ..

.. .. ..114 80 –1362.2 1.5 0.71.1 0.5 1.7

.. .. ..







Population (millions) 10.9 Population growth (%) –0.9Surface area (1,000 sq. km) 132 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 250.1 GNI per capita, Atlas ($) 22,810GNI, PPP ($ billions) 296.6 GNI per capita, PPP ($) 27,050

Greece


2000

2010 2014

.. .. ..67 71 71

2.3 2.2 2.0.. .. .... .. .... .. .... .. .... .. .... .. .... .. .... .. .... .. .... .. ..

0.0 0.0 0.00.0 0.0

.. .. ..100 100 100100 100 100

.. .. ..9.5 11.7 ..

.. .. ..

1,068 1,268 ..7.1 –5.4 ..2.1 –19.0 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..26.9 101.4 106.431.7 63.0 66.7

.. .. ..37 46 4

60 87 ..100 72 80

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..







Population (thousands) 56 Population growth (%) –0.3Surface area (1,000 sq. km) 410 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Greenlandd


2000

2010 2014

.. .. ..70 73 732.6 2.2 2.129 27 2754 54 ..

100 99 9916 13 12

.. .. ..92 95 9493 111 951.0 1.0 1.0

.. .. ..

.. .. ..

170 170 1700.0 0.0

.. 5.0 7.197 97 9798 98 98

.. 782 ..1.9 2.5 ..

.. .. ..

520 771 9121.9 –0.5 5.7

34.5 0.5 2.46 5 7

21 17 1473 78 7945 24 2660 49 4438 22 17

21.6 19.9 19.7–2.1 –2.4 –5.5

.. 14 15

.. 43.3 51.1

.. .. ..4.2 116.5 110.24.1 27.0 37.4

72.4 92.8 68.430 11 ..

55 44 41100 90 87203 607 6516.0 14.4 10.4

–4.1 –4.3 –4.346.4 28.5 30.837.4 60.4 40.416.5 33.8 39.3







Population (thousands) 106 Population growth (%) 0.4Surface area (sq. km) 340 Population living below $1.90 a day (%) ..GNI, Atlas ($ millions) 840.9 GNI per capita, Atlas ($) 7,910GNI, PPP ($ millions) 1,246.8 GNI per capita, PPP ($) 11,720

Grenada


2000

2010 2014

.. .. ..75 78 79

2.8 2.5 2.4.. .. ..

67 .. ..99 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..65 63 63

.. .. ..

250 250 2500.0 0.0

.. .. ..100 100 10089 90 90

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..17.5 .. ..16.1 54.0 69.3

.. .. ..

.. .. ..

.. .. ..100 105 101

.. .. ..

.. .. ..–9.6 –9.8 0.0

.. .. ..

.. .. ..

.. .. ..








Guam


2000

2010 2014

3.4 3.9 ..68 71 724.4 3.4 3.2178 109 8838 54 ..41 52 6351 35 29

50.0 48.0 ..86 93 6756 84 870.9 1.0 1.063 67 680.4 0.6 0.5

42 37 351.2 1.0

.. 3.0 3.084 91 9355 62 64

602 692 7680.8 0.8 ..

329 538 555

19.3 41.3 58.83.6 2.9 4.26.8 5.1 3.115 12 1229 29 2956 59 6020 26 2329 36 3318 14 14

10.2 11.1 11.5–1.8 –3.3 –2.3

39 37 19.. 85.6 72.2

0.8 0.4 0.47.6 126.0 106.60.7 10.5 23.4

25.9 36.5 41.78 6 5

39 54 49100 108 1003.9 15.0 18.89.7 14.4 14.3

–200 –132 –1200.6 4.2 5.8

230 846 1,205263 389 277








Guatemala


2000

2010 2014

5.8 6.3 7.651 56 59

6.1 5.3 5.0976 720 679

6 .. 635 46 45

170 112 9446.9 40.0 35.8

42 58 5231 58 50

0.6 0.8 0.871 72 72

1.9 1.6 1.6

69 65 640.5 0.6

0.2 .. 0.263 73 7713 18 20

.. .. ..0.1 0.2 ..

.. .. ..

3.0 4.7 6.62.5 1.9 0.46.3 20.2 7.522 22 2033 45 3844 33 4225 28 2829 37 5320 11 14

12.0 .. ..–2.4 .. ..

48 40 8.. 57.8 53.3

1.5 .. 3.80.5 36.8 72.10.1 1.0 1.78.9 37.3 ..

0 0 5

43 61 52100 108 963.1 3.4 1.4

20.7 6.3 4.2–368 –56 –10

1.2 46.3 94.810 101 566

153 218 561








Guinea


2000

2010 2014

7.3 4.5 ..51 54 55

5.8 5.1 4.8800 570 549

8 14 1635 43 45

178 116 9336.1 32.2 27.6

71 69 6927 62 ..

0.6 .. ..71 73 73

2.2 3.9 3.7

21 20 200.5 0.5

1.1 .. 1.152 70 7912 19 21

.. 62 ..0.1 0.1 ..

.. .. ..

370 847 1,0225.4 4.4 2.5

80.9 3.1 5.443 47 4414 13 1443 40 4322 20 1633 35 23

4 7 7.. .. .... .. ..

.. 216 9

.. 45.6 44.42.6 2.0 1.70.0 42.7 63.50.2 2.5 3.3

10.6 7.6 17.1.. .. ..

33 38 38100 85 81948 1,104 2717.1 9.5 0.8

–30.0 –25.0 –10.08.0 45.9 46.80.7 26.2 21.581 125 109







Population (millions) 1.8 Population growth (%) 2.4Surface area (1,000 sq. km) 36 Population living below $1.90 a day (%) 67.1GNI, Atlas ($ millions) 994.5 GNI per capita, Atlas ($) 550GNI, PPP ($ millions) 2,492.6 GNI per capita, PPP ($) 1,380

Guinea-Bissau


2000

2010 2014

4.5 .. ..65 66 663.0 2.7 2.6210 241 22937 43 3486 92 9247 42 39

13.8 19.5 12.086 95 99

107 83 841.0 1.0 1.060 61 610.6 1.5 1.8

166 166 1650.0 0.1

0.7 .. 0.686 94 9879 83 84

.. 671 ..2.2 2.3 ..

.. .. ..

0.7 2.3 3.1–1.4 4.4 5.26.6 6.7 –0.131 18 1829 36 3540 46 4696 52 51

111 80 8124 17 19

.. .. ..

.. .. ..

.. 23 18

.. 53.3 56.71.8 1.4 1.25.4 71.3 70.56.6 29.9 37.4

100.5 49.0 60.42 0 0

150 101 95100 127 1071.4 1.5 2.4

10.2 2.6 4.7–58.7 –34.1 –27.3

27 368 33067 198 238

116 167 159






Latin America & the Caribbean Lower middle income


Guyana


2000

2010 2014

2.3 .. 2.058 61 634.3 3.3 3.0

505 389 35928 32 3524 26 37

105 209 6928.3 29.7 21.9

55 64 53.. .. 108.. .. ..

63 65 663.2 2.1 1.9

1,090 1,010 9700.8 0.8

.. .. 11.161 59 5821 26 28

235 380 3930.2 0.2 ..35 24 49

4.0 6.6 8.70.9 –5.5 2.7

11.1 5.5 3.8.. .. .... .. .... .. ..

13 15 1933 65 5327 25 31

.. .. ..

.. .. ..

260 134 97.. 42.2 47.8.. .. ..

0.6 40.4 64.70.2 8.4 11.4

34.3 21.3 29.2.. .. ..

34 56 52100 88 881.2 1.0 1.99.2 12.5 1.4

–140 –138 –1500.6 1.5 2.013 178 99

0.2 3.0 1.1





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ billions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ millions)Net official development assistance received ($ billions)

Latin America & Caribbean Low income


Haiti


2000

2010 2014

2.7 3.2 3.170 72 73

4.0 2.7 2.4133 155 129

62 65 7356 67 8337 24 20

34.5 29.9 22.798 98 8881 97 91

.. 1.1 1.066 62 631.2 0.5 0.4

64 52 462.1 2.4

.. 1.8 1.881 88 9163 77 83

479 608 6620.8 1.1 ..514 685 721

7.1 15.8 19.45.7 3.7 3.1

30.8 4.7 5.516 12 1432 28 2652 60 6054 46 4766 64 6628 22 22

20.0 19.1 19.9–3.0 –3.2 –6.1

61 14 14.. 75.6 76.7

0.7 1.1 1.32.5 124.7 93.51.2 11.1 19.1

23.5 53.9 60.30 3 2

103 96 99100 67 515.5 4.0 7.39.9 10.3 10.6

–150 –100 –800.5 2.6 3.4

382 485 1,294448 633 604








Honduras


2000

2010 2014

.. .. ..81 83 84

1.0 1.1 1.2.. .. ..

86 80 .... .. .... .. .... .. .... .. .... .. 99.. .. 1.0

61 60 59.. .. ..

.. .. .... ..

.. .. ..

.. .. ..

.. .. ..2,033 1,947 1,938

6.1 5.2 ..5,447 5,973 5,934

172 229 2917.7 6.8 2.5

–3.4 0.3 2.90 0 0

12 7 788 93 93

142 219 220137 214 22028 24 24

14.7 20.2 ..–7.0 0.5 ..

11 6 2.. .. .... .. ..

79.7 195.7 233.627.8 72.0 74.6

134.0 195.4 236.523 16 43

243 368 387100 60 65

.. .. ..

.. .. ..–41 45 150136 340 37262 83 116

.. .. ..







Population (millions) 7.2 Population growth (%) 0.8Surface area (1,000 sq. km) 1.1 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 292.0 GNI per capita, Atlas ($) 40,320GNI, PPP ($ billions) 409.7 GNI per capita, PPP ($) 56,570

Hong Kong SAR, China


2000

2010 2014

9.6 8.3 7.871 74 76

1.3 1.3 1.415 15 17

.. .. ..100 99 ..

11 7 6.. .. ..

99 99 9996 99 991.0 1.0 1.049 51 52

.. .. ..

19 20 21–0.7 –0.2

96.7 88.0 84.298 100 10098 98 98

2,448 2,568 2,2935.5 5.1 ..

3,309 3,876 3,890

47.2 130.1 138.34.2 0.7 3.79.8 2.3 3.2

6 4 432 30 3162 66 6467 82 8970 77 8228 21 22

38.1 28.6 29.9–4.9 –3.9 –5.4

52 4 5.. 86.7 85.6

1.7 1.0 0.830.1 119.9 118.1

7.0 65.0 76.154.4 80.8 61.1

27 24 14

128 141 156100 97 100

.. .. ..

.. 82.6 95.566.2 95.8 30.0

0.3 2.1 4.72.8 –20.9 12.4

.. .. ..








Hungary


2000

2010 2014

.. 9.4 9.280 82 822.1 2.2 1.9

5 4 3.. .. .... .. ..4 2 2.. .. ..

91 93 9098 98 971.0 1.0 1.077 75 74

.. .. ..

290 430 490–4.0 –2.9

0.1 0.1 0.1100 100 10099 99 99

11,092 17,023 17,5847.7 6.2 ..

26,202 51,440 54,799

8.9 13.2 17.04.7 –3.6 1.83.7 5.6 4.0

8 8 727 25 2465 68 6932 54 5439 44 4725 14 17

32.5 28.9 31.11.2 –8.9 –1.6

.. 5 4

.. .. ..

.. 0.2 0.176.4 107.2 111.144.5 93.4 98.295.7 252.5 116.1

13 21 17

50 64 61100 92 86

.. .. ..

.. .. ..3.9 8.0 –0.488 135 206

155 –93 746.. .. ..








Iceland


2000

2010 2014

.. 8.2 ..63 67 683.3 2.6 2.4374 215 17447 55 ..43 52 ..91 60 48

51.0 47.9 ..56 82 8372 93 96

0.8 1.0 1.159 55 54

.. .. ..

654 698 707–0.7 –0.3

42.2 .. 52.681 90 9426 36 40

419 563 6061.1 1.6 ..

395 644 765

477 1,708 2,0493.8 10.3 7.33.6 9.0 3.023 18 1826 27 3051 55 5213 22 2314 26 2624 37 32

11.5 12.9 12.5–3.7 –3.4 –3.8

.. .. 29

.. 81.1 77.82.9 2.7 2.40.3 62.4 74.50.5 7.5 18.0

51.2 71.9 75.56 7 9

20 34 38100 133 135101 292 46317.1 6.8 18.6

–2,206 –2,829 –2,59812.9 53.5 70.4

3.6 27.4 33.91.4 2.8 3.0








India


2000

2010 2014

9.6 7.6 ..66 68 692.5 2.5 2.5

265 165 12655 61 6267 82 8352 33 27

42.4 39.2 36.476 78 7794 100 1011.0 1.0 1.067 68 680.1 0.4 0.5

994 944 9100.5 0.7

5.6 .. 5.678 85 8747 57 61

736 867 8501.2 1.8 ..

390 637 788

165 755 8894.9 6.2 5.0

20.4 15.3 5.416 14 1346 43 4238 41 4241 24 2430 22 2422 33 35

18.7 14.5 15.5–2.5 –0.7 –1.8

.. .. 48

.. 86.7 84.40.7 0.6 0.81.8 87.8 128.80.9 10.9 17.1

60.7 34.2 43.516 10 7

66 39 40100 128 121144 198 293

22.8 17.4 23.1–851 –1,117 –700

1.2 6.9 8.6–4.6 15.3 26.31.7 1.4 –0.4






East Asia & Pacific Lower middle income

Population (millions) 254.5 Population growth (%) 1.3Surface area (1,000 sq. km) 1,911 Population living below $1.90 a day (%) 15.9GNI, Atlas ($ billions) 923.7 GNI per capita, Atlas ($) 3,630GNI, PPP ($ billions) 2,592.3 GNI per capita, PPP ($) 10,190

Indonesia


2000

2010 2014

5.2 5.3 6.870 74 75

2.2 1.8 1.751 27 2574 77 ..90 96 ..35 19 16

20.4 .. ..99 99 9992 105 1020.9 1.0 1.044 44 450.1 0.1 0.1

93 107 107–1.4 0.0

69.8 72.6 72.694 96 9679 89 90

1,868 2,794 2,9605.7 7.7 ..

1,541 2,642 2,899

110 468 4255.8 6.6 4.3

24.9 14.4 12.29 7 9

41 41 3850 52 5221 25 2420 20 1935 37 33

21.6 26.5 ..1.7 0.5 ..

31 13 15.. 71.1 73.3

2.3 2.9 2.21.5 72.6 87.80.9 15.9 39.4

39.4 .. ..1 4 ..

39 36 33100 157 1838.0 20.0 5.59.7 .. ..–70 –549 –3000.5 1.2 ..0.0 3.6 2.1

130 121 81







Population (millions) 78.1 Population growth (%) 1.3Surface area (1,000 sq. km) 1,745 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 549.0 GNI per capita, Atlas ($) 7,120GNI, PPP ($ billions) 1,280.2 GNI per capita, PPP ($) 16,590

Iran, Islamic Rep.


2000

2010 2014

.. .. 8.869 68 694.9 4.7 4.663 51 5044 53 ..72 91 ..45 37 32

28.3 22.6 ..86 75 5756 67 ..0.8 0.8 ..41 42 42.. .. ..

8.2 8.3 8.3–0.1 0.0

187.5 .. 187.580 85 8775 83 86

1,106 1,217 1,4813.1 3.6 ..

1,237 1,191 1,798

.. 139 2241.4 6.4 –2.1

43.7 16.6 –1.8.. .. .... .. .... .. ..

76 39 4250 34 2229 16 18

.. .. ..

.. .. ..

.. 32 29

.. 41.1 52.2

.. 2.6 4.30.0 75.1 94.90.1 2.5 11.3

.. –1.2 0.4

.. 0 ..

.. 70 64100 189 209

.. .. ..

.. .. ..–266 –457 549

.. 177 2710.0 1.4 4.80.1 2.2 1.4





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ millions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ millions)Foreign direct investment, net inflows ($ billions)Net official development assistance received ($ billions)



Iraq


2000

2010 2014

.. 7.6 7.777 81 811.9 2.1 2.0

9 7 875 .. ..

100 .. ..7 4 4.. .. ..

79 90 93.. .. ..

1.0 1.0 1.059 61 600.1 0.2 0.3

6.4 7.3 7.5–1.3 –0.8

.. 1.5 1.596 97 9889 90 91

3,627 3,162 2,76810.8 8.8 ..

5,796 5,911 5,702

100 220 25110.2 0.4 5.2

6.1 –2.3 0.13 1 2

35 27 2662 72 7395 103 11481 87 9525 17 20

33.0 31.1 31.94.3 –32.3 –5.7

18 13 6.. .. ..

0.7 0.6 0.564.7 105.2 105.117.9 69.9 79.7

104.9 238.2 165.748 21 21

129 80 75100 98 89

.. .. ..

.. .. ..200 198 –140252 658 719

25.5 37.8 86.8.. .. ..








Ireland


2000

2010 2014

.. .. ..78 .. ..1.7 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

30 30 300.0 0.0

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

1,564 4,062 ..5.3 7.5 ..3.3 3.9 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..








Isle of Man


2000

2010 2014

5.7 4.6 ..79 82 823.0 3.0 3.1

8 6 5.. .. .... .. ..7 5 4.. .. ..

95 96 96104 102 1021.0 1.0 1.054 57 63

.. .. ..

1.5 1.5 1.7–0.1 –1.4

244.1 260.5 260.5100 100 100100 100 100

2,899 3,042 2,8509.6 9.0 ..

6,323 6,953 6,559

132 234 3068.9 5.5 2.62.1 1.5 1.0

.. .. ..

.. .. ..

.. .. ..36 35 3236 33 3123 18 20

38.2 28.6 28.8–3.7 –4.9 –4.6

19 19 13.. .. ..

7.1 6.2 5.273.2 122.8 121.520.9 67.5 71.572.2 87.6 85.1

19 15 16

52 51 47100 98 101

.. .. ..

.. .. ..103 274 19400 572 8598.0 5.5 6.7

.. .. ..








Israel


2000

2010 2014

.. 6.4 6.280 82 831.3 1.5 1.4

5 4 4.. .. ..

99 .. ..6 4 4.. .. ..

74 91 86101 103 1001.0 1.0 1.048 48 49

.. .. ..

84 90 93–0.8 –0.6

24.9 .. 29.5100 100 100100 100 100

3,012 2,868 2,4057.9 6.8 ..

5,300 5,494 5,159

1,142 2,127 2,1413.7 1.7 –0.42.0 0.3 0.9

3 2 227 24 2370 74 7426 25 3025 27 2721 21 16

36.0 24.4 25.9–2.4 –4.1 –3.0

23 6 6.. .. ..

2.0 1.7 1.474.1 154.8 154.323.1 53.7 62.093.9 160.3 173.0

9 7 7

42 44 47100 98 100

.. .. ..

.. .. ..1,624 1,006 528

1.9 8.0 10.013.2 9.9 13.7

.. .. ..








Italy


2000

2010 2014

5.5 .. ..72 75 762.6 2.2 2.089 93 8969 72 ..96 99 ..22 18 166.6 4.8 5.788 89 9287 .. ..1.0 .. ..68 63 632.4 1.8 1.6

3.4 3.4 3.40.1 0.1

.. 7.5 7.594 94 9481 82 82

1,481 1,001 1,0844.0 2.7 ..

2,334 1,270 1,126

8.9 13.2 13.90.9 –1.5 0.7

10.6 9.8 7.37 6 7

26 21 2167 73 7233 31 3149 50 5327 20 22

29.6 30.1 31.1–2.1 –5.9 0.8

31 8 3.. 74.4 77.8

0.5 0.9 0.914.2 116.1 107.4

3.1 27.7 40.546.5 51.2 52.4

0 1 1

52 50 52100 95 854.7 14.1 14.0

18.5 27.9 32.7–92.0 –95.0 –97.0

0.9 2.0 2.3468 186 595

9 141 92








Jamaica


2000

2010 2014

.. 7.4 ..81 83 84

1.4 1.4 1.410 6 556 .. ..

.. .. ..5 3 3.. 7.1 ..

96 94 98102 101 1021.0 1.0 1.062 60 59

.. .. ..

249 250 2500.0 0.0

19.7 19.3 18.9100 100 100100 100 100

4,093 3,896 3,4709.6 9.1 ..

7,975 8,337 7,836

4,731 5,495 4,6012.3 4.7 –0.1

–1.2 –2.2 1.62 1 1

31 28 2667 71 7311 15 189 14 21

25 20 22.. 11.4 12.3.. –6.7 –7.2

.. .. 10

.. .. ..1.0 1.0 1.0

53.1 96.8 120.230.0 78.2 90.6

304.7 328.5 373.829 18 17

18 27 33100 68 58

.. .. ..

.. .. ..622 445 3501.4 1.7 3.78.2 7.4 9.1

.. .. ..








Japan


2000

2010 2014

7.2 8.2 ..72 73 744.1 3.6 3.477 59 5856 59 61

100 99 10028 21 18

12.0 8.3 7.894 98 98

101 86 ..1.0 1.0 1.042 42 42

.. .. ..

980 980 9800.0 0.0

.. 138.0 138.097 97 9798 99 99

1,014 1,175 1,1963.2 3.5 ..

1,377 2,216 2,350

8.5 26.4 35.84.2 2.3 3.1

–0.4 8.4 3.42 3 4

26 31 3072 66 6642 48 4369 69 6922 24 28

25.1 22.7 21.5–2.0 –5.6 –8.3

79 12 12.. 76.7 74.4

6.3 5.2 3.58.2 102.6 147.82.6 27.2 44.0

78.8 99.9 106.28 3 2

77 85 87100 86 7111.1 17.1 24.320.1 5.8 8.5–94 450 2301.8 3.5 3.70.9 1.7 1.8

553 951 2,699








Jordan


2000

2010 2014

6.9 9.5 10.066 68 721.8 2.6 2.765 20 1266 51 ..98 100 ..44 22 14

13.9 13.1 ..99 99 9993 106 1141.0 .. 1.070 72 730.1 0.1 0.2

34 33 330.2 0.0

30.6 32.2 32.994 93 9397 97 98

2,397 4,235 4,7878.6 15.1 ..

3,170 4,728 4,892

18 148 2189.8 7.3 4.4

17.4 19.5 6.09 5 5

40 43 3651 52 5957 44 3949 30 2618 25 24

11.3 .. ..0.1 .. ..

26 19 5.. 95.6 90.0

0.8 1.0 1.11.4 121.9 172.20.7 31.6 54.9

12.3 45.4 36.64 34 37

76 62 55100 197 216

13 119 15832.4 57.9 35.6

45 –35 160122 226 2291.3 7.5 7.6

189 226 88







Population (millions) 17.3 Population growth (%) 1.5Surface area (1,000 sq. km) 2,725 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 204.8 GNI per capita, Atlas ($) 11,850GNI, PPP ($ billions) 375.3 GNI per capita, PPP ($) 21,710

Kazakhstan


2000

2010 2014

.. .. ..51 59 62

5.0 4.6 4.3759 605 510

39 46 5842 44 62

108 62 4941.0 35.2 26.0

78 86 79.. .. 104

1.0 1.0 1.068 67 679.9 5.6 5.3

36 42 44–1.7 –0.9

.. 11.2 15.552 60 6327 29 30

451 488 4920.3 0.3 ..107 154 168

12.7 40.0 60.90.6 8.4 5.36.1 2.1 7.532 28 3017 21 1951 51 5022 21 1632 34 3417 21 21

19.7 16.4 17.62.0 –4.7 –3.8

60 31 26.. 62.2 54.4

1.3 1.6 1.30.4 61.0 73.80.3 14.0 43.4

35.7 41.1 44.64 6 4

38 43 40100 95 886.2 8.8 16.2

21.0 4.4 11.025 –189 –50

538 686 1,441111 178 9440.5 1.6 2.7








Kenya


2000

2010 2014

.. .. ..64 65 664.1 3.8 3.7

166 109 9036 22 ..89 80 ..71 63 56

.. .. ..80 89 9199 107 1121.1 1.1 ..

.. .. ..

.. .. ..

120 120 1200.0 0.0

.. .. ..59 65 6734 39 40

.. 114 ..0.4 0.6 ..

.. .. ..

67.5 150.4 166.89.5 –0.5 3.7

–2.8 1.1 1.922 25 2612 8 866 67 6713 11 1193 87 111

.. .. ..

.. .. ..

.. .. ..

21 31 31.. 36.7 34.4.. .. ..

0.4 10.8 17.41.8 9.1 12.3

.. .. ..

.. 43 1

65 51 60100 88 94

.. .. ..

.. .. ..–2.0 –0.6 –2.1

.. 14.9 16.00.7 –6.6 8.3

17.9 22.8 79.1







Population (thousands) 110 Population growth (%) 1.8Surface area (sq. km) 810 Population living below $1.90 a day (%) 14.1GNI, Atlas ($ millions) 325.8 GNI per capita, Atlas ($) 2,950GNI, PPP ($ millions) 369.2 GNI per capita, PPP ($) 3,340

Kiribati


2000

2010 2014

.. .. ..65 69 702.0 2.0 2.0

128 97 8269 71 ..97 100 ..60 31 25

51.0 32.4 27.978 99 99

.. 97 ..

.. 1.0 ..81 78 78

.. .. ..

69 57 502.0 2.3

.. 12.9 12.9100 100 100

61 80 82863 772 5813.4 3.0 ..715 744 660

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..0.0 1.8 11.20.0 0.0 0.0

.. .. ..

.. .. ..

.. .. ..100 79 67

.. .. ..

.. .. ..0.0 0.0 0.0

.. .. ..3 38 134

73 79 153






East Asia & Pacific Low income

Population (millions) 25.0 Population growth (%) 0.5Surface area (1,000 sq. km) 121 Population living below $1.90 a day (%) ..GNI, Atlas ($ millions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Korea, Dem. People’s Rep.


2000

2010 2014

.. .. ..76 81 82

1.5 1.2 1.216 15 1179 80 ..

100 .. ..6 4 3

2.5 2.5 ..95 98 99

104 99 1031.0 1.0 1.061 60 61

.. .. ..

63 62 620.1 0.1

45.0 45.0 45.093 98 98

100 100 1004,003 5,060 5,262

9.5 11.5 ..5,907 9,744 10,428

562 1,094 1,4108.8 6.5 3.31.0 3.2 0.6

4 2 238 38 3858 59 5935 49 5133 46 4533 32 29

21.2 21.0 ..4.2 1.5 ..

17 14 4.. .. ..

2.5 2.5 2.658.3 104.8 115.744.7 83.7 84.370.9 151.0 162.4

35 29 27

59 81 78100 57 53

.. .. ..

.. .. ..229 405 3004.9 5.8 6.59.3 9.5 9.9

–55.1 .. ..








Korea, Rep.


2000

2010 2014

9.0 7.8 9.468 70 713.0 2.3 2.1

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. .... ..

.. .. ..

.. .. ..

.. .. ..909 1,405 1,297

.. .. ..1,557 2,650 2,917

1.8 5.8 7.427.0 3.3 1.211.4 4.7 3.2

.. 16 14

.. 28 27

.. 55 59

.. 20 20

.. 55 51

.. 33 26

.. .. ..

.. .. ..

.. 58 11

.. .. 40.0

.. .. ..

.. .. ..

.. .. ..–1.6 16.8 26.7

.. .. ..

.. .. ..

.. .. ..0.1 1.5 2.2

.. 8.3 8.8

.. .. ..

.. 997 1,192

.. 487 200

.. 528 580








Kosovo


2000

2010 2014

.. .. ..73 74 752.8 2.4 2.1

7 5 452 .. ..

100 100 ..13 11 9

4.0 4.1 5.899 98 94

103 98 1031.0 1.0 1.168 68 69

.. .. ..

50 60 60–2.6 0.0

.. .. ..99 99 99

100 100 1009,746 10,526 9,75727.8 29.7 ..

14,909 16,387 14,911

37.7 115.4 163.64.7 –2.4 –1.6

20.5 11.2 –4.2.. 0 0.. 61 64.. 39 35

56 67 6830 30 3111 18 16

43.8 .. ..–5.6 .. ..

35 35 31.. .. ..

7.2 3.8 3.325.0 133.0 218.4

6.7 61.4 78.770.4 75.3 60.7

0 1 0

71 80 83100 182 212

.. .. ..

.. .. ..139 522 518

.. 4.8 3.816 1,305 486

.. .. ..








Kuwait


2000

2010 2014

8.6 8.8 9.669 69 702.4 3.1 3.274 84 76.. 48 42

99 98 9849 30 21

.. 22.6 12.998 99 9693 95 1051.0 1.0 1.065 66 680.1 0.2 0.3

8.6 6.8 6.42.3 1.2

20.6 16.4 16.478 86 9092 93 93

473 505 6900.9 1.1 ..

1,696 1,372 1,887

1.4 4.8 7.45.4 –0.5 3.6

27.2 10.0 7.937 19 1731 29 2732 51 5642 52 3748 82 8820 27 35

14.2 19.4 23.2–2.9 –4.8 –6.5

21 14 10.. 88.9 82.2

2.9 3.8 3.40.2 98.9 134.51.0 16.3 28.3

12.2 10.9 15.915 1 5

77 104 100100 110 1051.9 4.1 7.3

30.2 23.1 14.2–173 –77 –114

0.0 1.3 2.2–2 438 211

215 382 624








Kyrgyz Republic


2000

2010 2014

8.1 7.6 7.359 64 66

4.3 3.3 3.0546 294 197

32 .. 5019 37 42

118 80 6748.2 43.8 ..

42 64 8768 85 1000.8 0.9 0.980 78 780.1 0.3 0.3

165 178 188–0.8 –1.0

.. 1.8 1.846 68 7628 59 71

.. .. ..0.2 0.2 ..

.. .. ..

1.7 7.2 12.05.8 8.5 7.5

24.8 10.0 –0.345 33 2817 32 3138 35 4130 36 4044 38 5014 24 30

.. 14.4 16.6

.. –0.8 –0.8

108 63 73.. 70.0 71.1

0.8 0.2 0.20.2 62.6 67.00.1 7.0 14.39.0 26.5 ..

.. .. ..

50 53 50100 121 1062.5 6.5 10.78.0 13.0 10.6

–175 –118 –1180.7 41.8 59.834 279 721

281 414 472








Lao PDR


2000

2010 2014

7.1 6.0 6.370 73 74

1.3 1.4 1.530 19 18

.. .. ..100 100 ..

17 9 8.. .. ..

97 95 9596 96 1111.0 1.0 1.056 59 61

.. .. ..

32 34 34–0.3 0.0

2.5 .. 2.598 99 9982 86 88

1,618 2,149 2,1592.6 4.0 ..

2,082 3,230 3,473

7.9 23.7 31.35.4 –3.8 2.43.6 –1.0 1.2

5 4 327 24 2368 72 7337 54 6045 55 6225 19 23

25.7 25.3 25.8–2.2 –6.9 0.5

16 16 6.. .. ..

0.9 1.1 1.016.9 110.3 116.86.3 68.4 75.8

23.0 129.6 76.84 8 15

64 89 103100 106 104

.. .. ..

.. .. ..–82.7 –86.2 –73.4

0.1 1.3 1.8413 435 878

.. .. ..








Latvia


2000

2010 2014

.. .. ..74 78 79

2.2 1.6 1.742 19 1563 54 ..

.. .. ..20 10 8

.. .. ..71 79 79

115 88 781.0 1.0 1.044 47 480.1 0.1 0.1

1.3 1.4 1.4–0.4 –0.1

29.9 27.3 27.386 98 9983 81 81

1,517 1,471 1,5734.7 4.6 ..

2,985 3,479 3,758

17.3 38.0 45.71.3 8.0 2.0

–2.1 0.2 1.17 4 6

23 15 2570 81 7014 36 4036 62 7020 25 31

16.0 20.3 19.6–18.4 –7.6 –10.6

53 15 15.. 56.7 65.6

5.4 4.2 4.623.0 66.0 88.3

8.0 43.7 74.7175.1 168.7 194.9

2 13 2

40 62 56100 102 10010.2 24.6 30.635.6 18.7 16.4550 183 1,2502.5 6.9 7.41.3 4.3 3.0

200 448 820








Lebanon


2000

2010 2014

3.0 2.8 ..47 47 50

4.1 3.3 3.2649 587 487

30 47 6060 62 78

117 101 9053.0 39.0 33.2

74 88 9264 73 761.1 1.1 1.174 66 66

22.5 23.3 23.4

420 440 490–0.5 –2.2

0.8 .. 0.879 81 8224 29 30

.. 10 ..

.. 1.1 ..

.. .. ..

0.8 2.2 2.25.1 7.9 3.64.0 2.4 6.712 8 831 32 3257 60 6035 44 40

135 111 10141 29 33

49.0 65.0 ..–2.8 5.6 ..

138 39 29.. 65.6 65.6

4.0 3.2 2.21.2 49.2 85.00.2 3.9 11.03.6 –6.2 0.7

0 1 0

133 145 144100 77 75677 778 8767.5 2.1 3.1

–34.5 –24.4 –20.0478 610 380

32.4 30.4 46.537 256 104








Lesotho


2000

2010 2014

.. 6.5 ..52 59 61

5.9 5.0 4.71,270 811 725

10 11 2051 46 61

182 89 7045.3 39.4 32.1

63 65 58.. 65 59

0.7 0.9 0.960 61 622.3 1.5 1.2

46 43 420.7 0.7

0.1 .. 0.162 71 7613 16 17

.. .. ..0.2 0.2 ..

.. .. ..

529 1,293 2,01328.6 6.1 0.7–6.9 5.5 2.7

.. .. ..

.. .. ..

.. .. ..31 44 2539 146 95

7 19 19.. .. .... .. ..

.. 20 5

.. 33.3 51.1

.. 0.7 0.80.1 39.7 73.40.0 2.3 5.4

174.5 31.9 37.8.. .. ..

188 72 81100 134 128

2,836 419 633.. 1.4 1.9

–50 176 –20.. 31 495

21 452 36367 1,413 744








Liberia


2000

2010 2014

.. .. ..71 72 72

2.9 2.6 2.517 9 9.. 42 ..

99 100 ..28 17 13

.. 21.0 ..93 98 93

.. .. ..1.0 .. ..52 53 53

.. .. ..

2.2 2.2 2.20.0 0.0

618.0 .. 618.071 .. ..97 97 97

2,979 3,281 2,7118.8 10.5 ..

2,230 4,224 3,923

38.3 74.8 41.13.7 5.0 –24.0

13.3 14.2 –17.35 2 ..

66 78 ..29 20 ..32 66 4714 42 9712 30 ..

.. .. ..

.. .. ..

.. .. 35

.. 40.6 22.22.8 1.3 8.00.8 180.4 161.10.2 14.0 17.8

50.7 –60.4 –42.0.. .. ..

45 89 97100 184 222

.. .. ..

.. .. ..–12 –82 –5029.0 .. ..141 1,784 50

5 9 210







Population (millions) 6.3 Population growth (%) –0.1Surface area (1,000 sq. km) 1,760 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 49.0 GNI per capita, Atlas ($) 7,820GNI, PPP ($ billions) 100.1 GNI per capita, PPP ($) 16,000

Libya


2000

2010 2014

.. .. ..77 82 821.6 1.4 1.5

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..90 111 1020.9 0.9 0.9

.. .. ..

.. .. ..

70 70 700.0 0.0

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. 1.6 ..

.. .. ..

2.5 5.1 5.53.2 –1.2 ..1.6 –9.9 ..

.. .. ..41 39 38.. .. .... .. .... .. .... .. .... .. .... .. ..

.. .. ..

.. .. ..

.. .. ..30.2 98.3 109.336.5 80.0 95.2

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..








Liechtenstein


2000

2010 2014

7.9 6.4 6.572 73 741.4 1.5 1.616 9 10

.. 63 ..100 100 ..

12 7 5.. .. ..

97 96 93101 103 971.0 1.0 1.060 59 61

.. .. ..

20 22 22–0.7 –0.1

18.1 15.4 15.491 95 9787 91 92

2,038 2,276 2,3573.5 4.3 ..

2,517 3,471 3,664

11.5 37.1 48.43.8 1.6 3.01.3 2.4 1.2

6 3 330 29 3164 68 6639 65 8145 67 7919 18 18

25.6 17.5 17.9–5.2 –4.4 –1.3

26 22 4.. .. ..

4.2 3.0 2.715.0 159.4 147.06.4 62.1 72.1

15.0 18.5 13.24 11 10

80 119 140100 94 94

.. .. ..

.. .. ..–84 –142 –1700.0 1.7 2.1379 865 351

.. .. ..








Lithuania


2000

2010 2014

.. 7.9 7.178 81 82

1.8 1.6 1.613 11 10

.. .. ..100 .. ..

5 2 2.. .. ..

93 96 99.. 84 82

1.0 1.0 1.053 57 57

.. .. ..

870 870 8700.0 0.0

6.0 .. 4.5100 100 100

98 98 987,677 8,329 6,81218.9 21.6 ..

15,668 16,830 14,193

21.4 52.4 64.98.4 5.7 4.12.0 3.1 1.0

1 0 018 13 1281 87 88

147 179 203122 147 171

22 19 1937.7 40.1 40.34.1 –0.8 –0.6

.. 18 19

.. .. ..0.6 0.6 0.5

69.5 143.1 149.522.9 90.6 94.7

116.8 224.8 194.517 8 6

92 86 71100 80 74

.. .. ..

.. .. ..14.5 42.3 48.7

0.6 1.7 1.84.1 38.6 7.1

.. .. ..







Population (thousands) 556 Population growth (%) 2.4Surface area (1,000 sq. km) 2.6 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 42.3 GNI per capita, Atlas ($) 75,960GNI, PPP ($ billions) 36.5 GNI per capita, PPP ($) 65,570

Luxembourg


2000

2010 2014

.. .. ..78 80 81

0.9 1.1 1.2.. .. .... .. .... .. .... .. .... .. .... .. .... .. .... .. ..

65 71 72.. .. ..

.. .. .... ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..3.8 2.2 ..

.. .. ..

6.1 28.4 55.55.7 27.5 –0.4

–2.0 4.6 8.50 0 0

15 7 685 93 94

100 106 9965 50 4512 13 19

19.9 36.4 39.11.6 19.3 24.1

.. .. ..

.. .. ..

.. .. ..32.7 209.9 322.613.6 55.2 69.842.0 –21.2 –4.1

1 0 0

85 23 23100 88 87

.. .. ..

.. .. ..29.9 56.3 35.0208 47 500.0 3.6 2.50.3 .. ..






East Asia and Pacific High income


Macao SAR, China


2000

2010 2014

6.6 5.4 ..73 75 751.7 1.5 1.512 8 8

.. 40 ..98 98 ..16 10 6

8.0 4.9 ..97 98 93

100 90 ..1.0 1.0 1.054 56 55

.. .. ..

9.6 10.0 10.0–0.4 0.0

11.0 19.0 19.099 99 9990 91 91

1,326 1,396 1,3496.0 4.2 ..

2,928 3,588 3,557

3.8 9.4 11.34.5 3.4 3.8

13.8 2.0 1.412 12 1025 24 2563 64 6533 40 4847 58 6522 24 31

.. 28.9 27.9

.. –2.5 –3.9

48 3 1.. 78.9 83.3

1.9 1.4 1.25.6 102.4 105.52.5 51.9 68.1

13.7 47.1 54.61 3 3

91 94 108100 92 911.5 5.2 7.28.3 16.4 17.5

–15.3 –5.0 –5.081 388 367

215 301 61250 193 211








Macedonia, FYR


2000

2010 2014

4.9 6.5 ..58 63 655.5 4.7 4.4

536 436 35319 40 4046 44 44

109 60 50.. 49.2 ..

57 66 6436 71 69

.. 1.0 1.087 89 88

0.5 0.4 0.3

130 126 1250.4 0.1

4.9 .. 4.938 47 5210 11 12

.. .. ..0.12 0.10 ..

.. .. ..

3.9 8.7 10.64.8 0.3 3.37.2 8.8 5.729 28 2614 16 1657 56 5831 25 3238 43 4315 21 15

11.7 11.2 ..–2.0 –0.9 ..

67 12 13.. 67.8 58.9

1.2 0.7 0.70.4 36.6 41.20.2 1.7 3.7

15.2 10.5 16.81 1 1

50 43 51100 77 844.7 2.7 2.99.7 2.7 2.5

–5.0 –5.0 –5.011 547 43283 810 351

320 472 583








Madagascar


2000

2010 2014

.. 5.5 ..44 57 636.3 5.5 5.1

890 629 63431 46 5956 71 87

174 91 6454.6 47.8 42.4

73 93 8562 68 790.9 1.0 1.079 83 83

16.6 11.7 10.0

36 32 311.0 0.6

8.2 8.4 8.463 81 9034 39 41

.. .. ..0.08 0.08 ..

.. .. ..

1.7 5.4 4.31.6 6.5 5.7

30.5 7.4 20.940 30 3318 20 1743 51 5026 29 4635 45 5614 26 15

.. .. ..

.. .. ..

43 36 38.. 78.9 75.6

0.7 0.9 1.20.4 20.8 33.50.1 2.3 5.8

12.5 30.0 21.52 1 3

52 60 102100 99 1002.7 1.0 1.6

13.5 1.7 4.0–36.8 –36.8 –30.0

0.7 21.8 38.526 97 716

446 1,015 930








Malawi


2000

2010 2014

.. 4.6 ..73 74 752.8 2.0 1.958 48 40

.. .. ..97 99 9910 8 7

20.7 17.2 ..96 95 9495 100 103

.. .. ..63 59 600.8 0.6 0.5

216 221 222–0.2 –0.1

1.6 1.9 1.994 97 9891 95 96

2,113 2,649 3,0205.4 8.0 ..

2,720 4,159 4,512

94 255 3388.9 7.4 6.08.9 7.3 2.5

9 10 948 40 4043 49 51

120 87 74101 71 6527 23 25

17.5 19.4 21.4–4.1 –5.0 –4.4

37 17 4.. 80.0 74.4

1.6 1.5 1.521.9 119.7 148.821.4 56.3 67.5

138.4 123.3 140.560 45 44

192 142 131100 98 96

42 134 2115.6 2.4 4.9

491 652 4500.3 1.1 1.63.8 10.9 10.6

45.7 2.1 11.9








Malaysia


2000

2010 2014

1.4 6.5 ..70 76 77

2.9 2.2 2.1163 87 68

42 35 ..70 98 ..44 13 9

31.9 20.3 ..99 97 99

178 114 ..1.0 .. ..55 66 67

.. .. ..

10.0 10.0 10.00.0 0.0

.. .. 19.795 98 9979 97 98

.. 857 ..1.7 2.9 ..

.. .. ..

0.6 2.3 3.15.7 6.0 6.51.9 1.2 3.0

9 4 415 16 1976 80 7789 87 10872 73 8926 .. ..

30.0 21.3 ..–5.0 –15.0 ..

9 9 9.. 65.6 55.6.. .. ..

2.8 151.8 189.42.2 26.5 49.3

34.8 85.6 70.7.. .. ..

80 55 76100 93 91206 994 1,0264.2 4.0 2.3

–0.1 –0.1 –0.12.2 3.2 3.522 216 36319 111 25






South Asia Upper middle income

Population (thousands) 401 Population growth (%) 2.0Surface area (sq. km) 300 Population living below $1.90 a day (%) 5.6GNI, Atlas ($ billions) 2.6 GNI per capita, Atlas ($) 6,410GNI, PPP ($ billions) 4.4 GNI per capita, PPP ($) 10,920

Maldives


2000

2010 2014

6.3 8.0 ..49 56 58

6.9 6.5 6.2834 630 587

8 10 ..41 56 59

220 137 11542.7 38.5 ..

49 78 8031 57 530.7 0.8 0.951 66 66

1.8 1.4 1.4

59 51 471.4 1.6

.. 8.6 8.647 67 7718 22 25

.. .. ..0.07 0.08 ..

.. .. ..

2.7 9.3 12.0–3.3 5.8 7.28.0 2.4 2.736 41 4021 20 2243 39 3823 22 2633 25 3020 25 24

12.3 17.6 17.8–3.1 –2.5 –1.4

33 8 9.. 63.3 65.6

1.6 1.6 1.40.1 53.2 149.10.1 2.0 7.0

13.1 12.5 23.115 2 1

51 59 50100 162 1393.0 2.5 3.4

14.1 2.5 3.0–67 –101 –30273 473 92382 372 1990.3 1.1 1.2








Mali


2000

2010 2014

.. .. ..78 81 821.7 1.4 1.415 11 9

.. .. ..

.. 100 ..8 7 6.. .. ..

74 73 98102 89 921.0 0.8 0.951 51 52

.. .. ..

0.0 0.0 0.00.0 0.0

106.7 .. 106.7100 100 100100 100 100

1,771 1,985 1,7355.4 6.3 ..

4,410 4,634 4,736

4.0 8.2 9.66.8 4.3 2.94.2 1.4 2.1

2 2 ..51 33 ..47 65 ..91 88 ..98 85 ..25 14 ..

70.3 37.4 38.8–12.0 –3.6 –2.6

.. 39 28

.. .. ..0.6 0.7 0.6

28.1 107.3 127.013.1 63.0 73.2

128.5 159.5 151.572 47 34

148 106 101100 132 127

.. .. ..

.. .. ..5.8 13.5 6.320 230 196

601 9,247 –1321.2 .. ..








Malta


2000

2010 2014

.. .. ..65 .. ..5.7 4.1 ..

.. .. ..34 45 ..95 99 ..41 39 36.. .. ..

94 97 7993 100 ..1.0 1.0 ..

.. .. ..

.. .. ..

130 130 1300.0 0.0

.. .. ..93 94 9570 75 77

.. 614 ..1.5 2.0 ..

.. .. ..

110.9 163.8 186.75.9 4.1 –1.0

–3.0 3.4 –0.9.. 16 19.. 12 11.. 72 71.. .. .... .. .... .. .... .. .... .. ..

22 17 17.. 41.1 37.8.. .. ..

0.9 .. 29.41.5 7.0 16.8

.. .. ..

.. .. ..

58 111 131100 100 108

.. .. ..

.. .. ..

.. .. ..

.. 22.2 26.10.0 –9.4 9.0

57.2 32.3 55.8








Marshall Islands


2000

2010 2014

6.2 6.4 ..60 62 635.4 4.8 4.6813 723 602

8 11 ..57 65 ..

114 98 8539.5 29.7 22.0

46 67 8445 67 680.9 1.0 1.050 54 540.8 0.8 0.7

3.2 2.4 2.32.7 1.5

400.3 337.5 337.542 54 5824 36 40

.. .. ..0.4 0.6 ..

.. .. ..

1.3 4.3 5.1–0.4 4.8 6.45.4 18.9 –5.236 21 2327 41 3637 38 4230 51 4845 61 7021 37 43

.. .. ..

.. .. ..

82 19 8.. 62.2 66.7

2.9 3.1 2.90.6 76.9 94.20.2 4.0 10.7

.. 38.9 31.9

.. .. ..

63 92 91100 173 1412.4 2.7 3.5

27.8 4.9 9.930.0 –20.0 –20.0

2.2 .. ..40 131 502

223 370 257








Mauritania


2000

2010 2014

.. .. 7.472 73 742.0 1.6 1.440 59 5376 .. ..99 .. ..19 15 14

.. .. ..84 99 98

103 99 971.0 1.0 1.060 59 590.9 1.1 0.9

420 380 3900.9 –0.1

22.2 26.4 26.499 100 10091 93 93

851 1,053 1,0952.3 3.1 ..

1,363 1,995 2,148

4.6 9.7 12.69.0 4.1 3.62.1 1.8 1.9

7 4 331 26 2362 70 7461 52 5262 64 6326 24 23

20.9 21.8 21.8–1.1 –3.5 –4.1

.. 6 6

.. 70.0 93.30.2 0.2 0.3

15.2 96.8 132.27.3 28.3 41.4

70.8 103.2 115.51 1 0

80 68 69100 73 761.0 2.7 11.3

17.0 1.5 26.9–19.4 –12.1 0.0

177 1 1266 430 418

20 125 49







Population (millions) 1.3 Population growth (%) 0.2Surface area (1,000 sq. km) 2.0 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 12.1 GNI per capita, Atlas ($) 9,630GNI, PPP ($ billions) 22.9 GNI per capita, PPP ($) 18,150

Mauritius


2000

2010 2014

3.9 4.7 4.974 76 77

2.7 2.4 2.277 45 3870 73 ..95 94 9626 17 13

21.7 15.5 13.696 95 9795 93 1031.0 1.0 1.060 61 620.5 0.3 0.2

679 665 6600.2 0.1

17.8 19.3 19.689 94 9675 82 85

1,409 1,486 1,5103.7 3.8 ..

1,717 1,904 2,057

684 1,050 1,2955.3 5.2 2.2

10.8 4.5 4.74 3 3

35 35 3462 62 6226 30 3227 31 3323 22 22

12.5 .. ..–1.0 .. ..

.. .. 6

.. 85.6 92.20.5 0.6 0.7

13.6 77.5 82.25.1 31.1 44.4

29.0 44.5 50.222 17 16

51 58 62100 99 97152 246 43331.6 10.1 12.2

–2,841 –410 –5247.5 22.1 24.5

18.1 26.2 24.2–58 470 807







Population (millions) 125.4 Population growth (%) 1.3Surface area (1,000 sq. km) 1,964 Population living below $1.90 a day (%) 2.7GNI, Atlas ($ billions) 1,237.5 GNI per capita, Atlas ($) 9,870GNI, PPP ($ billions) 2,111.2 GNI per capita, PPP ($) 16,840

Mexico


2000

2010 2014

1.6 .. ..67 69 69

4.3 3.5 3.2153 115 100

45 55 ..88 100 ..54 41 35

.. .. ..85 80 91

.. .. ..

.. .. ..

.. .. ..

.. .. ..

640 640 6400.0 0.0

.. .. ..90 89 8934 53 57

.. .. ..1.3 1.2 ..

.. .. ..

233 294 3184.6 2.5 –3.41.1 3.4 4.326 27 27

9 8 665 65 67

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

36 16 16.. 27.8 35.6.. .. ..

0.0 26.6 30.33.7 20.0 29.7

.. .. ..

.. .. ..

55 67 79100 81 75

.. .. ..

.. .. ..–12.9 –12.1 –8.2

.. 18.1 22.0–0.2 1.1 0.8102 63 116








Micronesia, Fed. Sts.


2000

2010 2014

6.9 8.1 9.167 70 711.4 1.3 1.349 34 2362 .. 6098 99 9931 17 16

.. .. 6.489 97 9098 92 931.0 1.0 1.060 41 410.3 0.5 0.6

3.2 3.9 4.1–1.8 –1.2

.. 65.7 65.785 87 8873 75 76

792 985 8631.0 1.4 ..

1,638 1,723 1,353

1.3 5.8 8.02.1 7.1 4.6

27.3 11.1 6.329 14 1522 16 1749 70 6850 39 4275 79 7824 24 26

24.5 31.6 31.2–1.5 –2.6 –2.0

42 10 4.. 84.4 95.6

0.4 0.3 0.33.4 71.4 108.01.3 32.3 46.6

25.2 36.3 38.93 8 5

97 93 96100 78 711.8 4.7 6.5

20.0 14.5 14.6–12.1 –47.9 –9.5

0.2 1.4 2.1128 212 350123 472 517








Moldova


2000

2010 2014

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..5 4 4.. .. ..

99 99 99.. .. .... .. .... .. .... .. ..

0.0 0.0 0.00.0 0.0

.. .. ..100 100 100100 100 100

.. .. ..

.. .. ..

.. .. ..

2.6 5.4 ..3.9 10.0 ..1.4 –1.6 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..43.4 63.5 88.542.2 75.0 92.4

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..







Population (thousands) 38 Population growth (%) 0.3Surface area (sq. km) 2.0 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Monaco


2000

2010 2014

7.5 7.8 7.763 68 692.1 2.6 2.7

161 63 4467 55 5597 99 9963 30 22

29.8 15.6 10.892 97 9887 .. 1101.1 1.0 1.061 61 63

.. .. ..

117 130 126–1.1 0.8

.. 1.6 1.656 63 6448 57 60

1,000 1,453 1,8263.1 4.2 ..

1,054 1,493 1,909

1.1 7.2 12.01.1 6.4 7.8

12.0 39.2 6.031 13 1625 37 3744 50 4754 47 5368 57 5629 42 32

24.4 29.0 25.60.2 2.6 –7.1

20 13 6.. 74.4 74.4

2.1 0.8 0.96.4 92.5 105.11.3 10.2 27.09.0 25.9 67.2

0 7 20

101 86 92100 215 1721.0 5.9 20.86.6 7.0 21.2

–15.0 –15.0 –15.012 266 25554 1,692 384

217 301 315







Population (millions) 2.9 Population growth (%) 1.8Surface area (1,000 sq. km) 1,564 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 12.5 GNI per capita, Atlas ($) 4,280GNI, PPP ($ billions) 32.4 GNI per capita, PPP ($) 11,120

Mongolia


2000

2010 2014

.. 8.7 7.173 75 761.9 1.8 1.711 8 753 39 2399 100 9914 7 5

.. .. 9.4

.. 90 88

.. 73 961.0 1.0 1.052 51 50

.. .. ..

6.3 8.3 8.3–2.8 0.0

.. .. ..97 99 10089 94 96

.. 1,898 1,651

.. 4.2 ..

.. 5,420 5,618

1.0 4.1 4.63.1 2.5 1.8

20.2 2.3 1.012 9 1023 21 1864 70 7237 37 4051 63 6022 22 20

.. .. ..

.. .. ..

.. 10 10

.. 57.8 72.2

.. 1.8 1.7

.. 188.7 163.0

.. 37.5 61.0

.. .. ..

.. .. ..

.. 63 61

.. .. ..0.0 1.6 2.5

.. 5.7 12.6–8.0 –3.1 –2.4

.. 301 431

.. 758 4978 80 102







Population (thousands) 622 Population growth (%) 0.1Surface area (1,000 sq. km) 14 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 4.5 GNI per capita, Atlas ($) 7,320GNI, PPP ($ billions) 9.5 GNI per capita, PPP ($) 15,250

Montenegro


2000

2010 2014

6.5 6.5 ..68 73 742.7 2.5 2.5

221 153 121.. 67 .... 74 ..

50 33 2823.1 14.9 ..

93 98 9958 84 1020.8 0.9 0.954 50 510.1 0.1 0.1

50 57 56–1.3 0.1

51.1 .. 36.078 84 8564 74 77

381 527 5641.2 1.7 ..

487 777 866

37.0 93.2 110.01.6 3.8 2.4

–0.6 1.0 0.215 14 1329 29 2956 57 5828 32 3433 43 4726 34 32

26.3 27.0 29.4–2.4 –3.5 –7.4

35 12 10.. 77.8 81.1

2.3 3.4 3.78.2 101.1 131.70.7 52.0 56.8

81.1 101.5 112.411 8 5

51 57 63100 105 12520.6 27.2 42.825.3 11.8 15.1–695 –578 –311

2.2 6.4 7.00.2 1.2 3.6

434 990 2,247








Morocco


2000

2010 2014

5.4 5.2 ..49 53 55

5.8 5.6 5.4915 619 489

.. 12 ..48 54 ..

171 103 7949.6 43.1 ..

71 82 8516 56 480.7 0.9 0.985 85 848.9 11.2 10.6

412 390 3790.6 0.5

0.9 .. 0.941 49 5114 19 21

393 407 4070.07 0.12 ..122 439 436

5.0 10.2 15.91.7 6.7 7.2

10.9 7.6 3.623 30 2523 19 2154 52 5413 30 2640 46 6933 24 51

.. 17.9 22.4

.. –3.5 –2.6

168 19 19.. 72.2 72.2

1.1 1.0 1.00.3 30.1 69.80.1 4.2 5.99.3 23.2 34.7

9 1 6

30 75 85100 107 955.6 3.7 7.89.4 3.2 3.7

37.5 –50.0 –25.037 116 1550.1 1.3 5.00.9 1.9 2.1








Mozambique


2000

2010 2014

.. .. ..62 65 662.9 2.4 2.2

308 205 17837 46 ..57 71 ..82 59 50

40.8 35.1 ..84 88 8676 84 85

1.0 1.0 1.077 79 790.7 0.8 0.7

349 318 2900.9 1.8

3.3 .. 3.367 78 8162 77 80

269 270 3130.2 0.2 ..74 122 164

.. .. 64.313.7 .. 8.52.5 .. 6.657 .. ..10 .. ..33 .. ..

0 .. ..1 .. ..

12 .. ..5.3 .. ..

–2.7 .. ..

.. .. 13

.. 52.2 55.62.3 .. 3.70.0 1.1 54.00.0 0.3 2.1

31.2 .. 28.3.. 0 ..

.. .. 42100 110 1155.9 8.2 6.40.4 0.0 0.5

–1,373 –1,467 –474104 115 3,103258 901 1,398106 355 1,380







Population (millions) 53.4 Population growth (%) 0.9Surface area (1,000 sq. km) 677 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 68.1 GNI per capita, Atlas ($) 1,270GNI, PPP ($ billions) .. GNI per capita, PPP ($) ..

Myanmar


2000

2010 2014

3.0 3.3 ..55 62 654.0 3.6 3.5

352 319 26544 55 5676 81 8876 54 45

29.5 29.6 23.169 75 8391 81 86

1.0 1.0 ..57 61 60

16.0 14.3 16.0

80 73 691.0 1.0

4.7 .. 4.779 87 9127 32 34

545 708 7420.9 1.4 ..

995 1,532 1,611

3.9 11.3 13.03.5 6.0 6.4

12.3 3.6 7.712 9 728 30 3260 61 6141 48 4045 61 6617 24 34

30.1 23.8 ..–1.6 –7.3 ..

85 66 66.. 52.2 47.8

2.4 3.5 4.24.3 89.5 113.81.6 11.6 14.8

42.7 51.7 54.62 1 3

73 85 93100 124 123

.. .. ..

.. .. ..–50.0 –50.0 –1.4

9.5 15.1 10.2119 756 493152 256 227








Namibia


2000

2010 2014

6.6 8.3 ..62 68 704.0 2.6 2.2

548 349 25837 50 5012 36 5681 45 36

57.1 40.5 ..71 86 8867 79 1040.7 1.0 1.186 84 83

0.2 0.3 0.2

39 36 360.7 0.0

4.8 4.8 4.877 87 9222 38 46

342 380 3700.1 0.2 ..59 103 128

5.5 16.0 19.86.2 4.8 5.44.5 15.1 8.741 37 3422 16 1637 48 5123 10 1232 36 4124 38 37

10.6 14.9 17.4.. –1.4 1.5

31 31 17.. 64.4 72.2

1.0 1.6 1.50.0 34.3 81.90.2 7.9 15.4

40.8 67.4 71.50 1 0

43 37 43100 74 772.9 3.8 4.07.6 10.6 8.2

–923 –1,024 –3720.1 3.5 5.8

–0.5 87.7 5.8386 818 880






South Asia Low income


Nepal


2000

2010 2014

.. 8.3 8.978 81 811.7 1.8 1.714 8 767 69 ..

100 .. ..6 4 4.. .. ..

96 96 9698 .. ..1.0 1.0 1.063 65 64

.. .. ..

3.6 3.7 3.8–0.4 –0.2

81.1 104.2 97.0100 100 100

98 98 984,598 5,021 4,289

10.4 10.9 ..6,560 7,010 6,821

413 836 8794.2 1.4 1.03.6 0.8 0.8

2 2 225 22 2173 76 7766 72 8360 64 7123 20 18

38.7 25.8 25.00.5 –3.7 –0.8

9 8 4.. .. ..

1.4 1.3 1.167.8 115.4 116.444.0 90.7 93.2

138.5 218.3 230.536 21 20

109 130 143100 92 92

.. .. ..

.. .. ..145 56 1101.2 1.7 1.563 116 48

.. .. ..








Netherlands


2000

2010 2014

.. .. ..75 77 782.6 2.2 2.2

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..60 57 57

.. .. ..

8.4 8.4 8.40.0 0.0

.. .. ..94 98 99

100 100 100.. .. ..

10.8 15.7 .... .. ..

2.7 .. ..2.1 .. ..

–0.6 .. .... .. .... .. .... .. ..

13 .. ..33 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..23.8 89.6 93.613.9 42.0 70.0

.. .. ..1 1 13

57 .. ..100 236 182

.. .. ..

.. .. ..4.8 4.2 5.7

333 492 4790.0 1.4 2.3315 .. ..







Population (thousands) 266 Population growth (%) 1.5Surface area (1,000 sq. km) 19 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

New Caledonia


2000

2010 2014

.. .. ..79 81 812.0 2.2 1.912 13 11

.. .. ..97 .. ..7 6 6.. .. ..

85 91 93.. .. ..

1.0 1.0 1.065 68 68

.. .. ..

101 102 1020.0 0.0

1.0 1.5 1.6100 100 100

.. .. ..4,430 4,225 4,455

8.5 7.3 ..9,384 9,602 9,084

52.6 145.3 200.02.8 1.4 3.03.0 3.1 2.1

8 7 ..25 24 ..66 69 ..36 31 2933 28 2722 20 24

33.1 34.7 33.01.6 –2.1 –0.6

12 1 1.. .. ..

1.6 1.3 1.240.0 107.8 112.147.4 80.5 85.5

108.0 152.0 ..10 9 9

52 43 42100 123 139

.. .. ..

.. .. ..135 62 7236 371 4623.8 1.4 4.5

.. .. ..








New Zealand


2000

2010 2014

5.6 4.6 ..70 74 753.1 2.4 2.3

202 166 15069 72 8067 74 8840 26 22

25.2 23.0 ..86 99 9966 85 ..1.1 1.0 ..60 63 640.4 0.3 0.3

38 31 312.0 0.0

0.9 .. 1.079 85 8754 65 68

501 515 5940.7 0.8 ..

348 514 598

5.1 8.7 11.84.1 3.2 4.78.6 6.1 9.120 19 2123 24 2657 57 5420 38 4241 58 5927 25 27

11.6 14.8 16.5–2.8 –0.7 0.5

47 39 13.. 75.6 70.0

0.6 0.5 0.71.8 68.1 114.61.0 10.0 17.6

72.2 50.4 47.25 5 0

48 92 102100 92 886.8 7.0 10.2

25.6 17.3 14.8–174 –155 –135320 825 1,140267 490 884560 662 430








Nicaragua


2000

2010 2014

.. 8.9 ..51 58 617.7 7.7 7.6

794 657 55314 18 1416 18 29

227 124 9654.2 54.8 43.0

37 67 7219 40 590.6 0.8 0.863 65 651.2 0.7 0.5

13 12 111.0 1.1

.. 28.1 28.144 54 58

7 10 11131 137 152

0.07 0.08 ..33 45 49

1.8 5.7 8.2–1.4 8.4 6.94.5 2.6 –0.538 41 3718 16 2044 43 4418 22 1826 49 3711 40 40

.. .. ..

.. .. ..

35 17 15.. 67.8 71.1

1.1 1.2 1.00.0 23.1 44.40.0 0.8 2.09.2 12.4 12.3

6 7 57

38 63 46100 155 1581.7 1.5 2.68.0 1.8 2.5

–28.5 –28.5 –28.514 134 1578 796 769

209 739 918







Population (millions) 19.1 Population growth (%) 4.0Surface area (1,000 sq. km) 1,267 Population living below $1.90 a day (%) 50.3GNI, Atlas ($ billions) 7.8 GNI per capita, Atlas ($) 410GNI, PPP ($ billions) 17.4 GNI per capita, PPP ($) 910

Niger


2000

2010 2014

5.7 5.4 ..47 51 53

6.1 5.8 5.71,170 867 814

15 18 1542 49 38

187 130 10939.7 36.0 32.9

33 56 51.. 76 ..

0.8 0.9 ..56 56 563.5 3.5 3.2

131 90 703.7 5.0

4.7 5.9 5.952 63 6934 31 29

700 753 7730.6 0.5 ..74 136 142

46 369 5695.3 7.8 6.3

35.2 103.8 4.726 24 2052 25 2422 51 5652 25 1820 17 13

7 17 1612.0 5.6 5.0–2.2 –2.0 –1.3

.. .. 31

.. 68.9 71.10.8 0.5 0.40.0 54.7 77.80.1 24.0 42.7

10.0 18.8 21.81 1 2

64 35 28100 184 21132.4 15.4 26.98.8 1.0 0.8

–170 –300 –3001.4 19.7 20.81.1 6.0 4.70.2 2.1 2.5







Population (millions) 177.5 Population growth (%) 2.7Surface area (1,000 sq. km) 924 Population living below $1.90 a day (%) 53.5GNI, Atlas ($ billions) 526.5 GNI per capita, Atlas ($) 2,970GNI, PPP ($ billions) 1,013.7 GNI per capita, PPP ($) 5,710

Nigeria


2000

2010 2014

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..100 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

320 300 2900.5 0.5

.. .. ..96 97 9874 79 80.. .. .... .. .... .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..4.4 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..100 87 82

.. .. ..

.. .. ..

.. .. ..

.. .. ..1.5 14.8 3.20.1 .. ..








Northern Mariana Islands


2000

2010 2014

.. 9.4 9.379 81 821.9 2.0 1.8

7 6 587 .. ..

.. .. ..5 3 3.. .. ..

88 93 9498 100 1011.0 1.0 1.066 66 650.1 0.1 0.2

121 121 1210.0 0.0

0.6 0.8 0.8100 100 100

98 98 985,826 6,939 5,854

8.6 11.6 ..24,994 24,891 23,326

171 429 5003.2 0.6 2.2

15.4 6.0 0.42 2 2

41 39 3857 59 6046 40 3829 29 3022 25 28

47.5 46.9 46.414.6 12.0 11.6

18 6 4.. .. ..

1.7 1.5 1.471.8 114.5 116.152.0 93.4 96.367.0 85.6 ..

17 16 21

55 49 47100 139 157

.. .. ..

.. .. ..67 174 236

270 680 7617.0 20.4 10.6

.. .. ..








Norway


2000

2010 2014

.. .. ..72 76 773.7 2.9 2.820 18 1732 24 3095 99 9917 12 12

12.9 9.8 ..99 99 9983 102 1091.0 1.0 1.055 60 660.1 0.1 0.2

20 20 200.0 0.0

97.1 94.4 94.484 92 9389 97 97

3,441 6,797 6,2329.8 19.1 ..

3,243 5,704 5,981

19.5 58.6 81.85.4 4.8 2.9

17.8 15.6 1.72 1 1

59 64 6539 35 3354 57 6926 33 4715 25 22

30.0 34.9 45.8–5.3 –0.4 –0.4

35 11 7.. .. ..

10.8 8.3 11.87.4 164.3 157.83.5 35.8 70.2

37.6 37.2 41.23 1 4

84 96 102100 191 239

.. .. ..

.. .. ..40 186 1,211

39.0 39.0 39.082 1,243 739

79.7 –21.6 ..








Oman


2000

2010 2014

9.4 9.6 ..63 65 664.6 3.9 3.6

306 211 17828 27 3523 43 52

112 92 8141.5 43.0 45.0

59 69 63.. 69 74.. 0.8 0.8

51 54 550.1 0.1 0.1

21 17 152.2 2.7

313.8 .. 333.689 91 9137 55 64

463 496 4750.8 1.0 ..373 467 450

74 177 2444.3 1.6 4.7

24.9 10.9 6.926 24 2523 21 2151 55 5413 14 1215 19 1917 16 15

13.9 13.8 14.5–4.1 –5.0 –5.2

.. .. 19

.. 76.7 75.64.2 3.4 3.40.2 57.3 73.31.3 8.0 13.8

41.6 46.2 47.50 2 1

27 33 30100 65 59

33.0 64.0 62.228.1 14.9 19.1–896 –1,296 –1,082

1.1 9.7 17.10.3 2.0 1.80.7 3.0 3.6








Pakistan


2000

2010 2014

.. .. ..70 .. ..

.. .. ..

.. .. ..17 22 ..

100 100 ..27 19 16

.. .. ..83 39 83

.. .. 96

.. .. 1.0

.. .. ..

.. .. ..

400 400 400–0.2 0.0

.. .. ..92 95 ..81 100 100

.. .. ..6.1 10.6 ..

.. .. ..

150 184 251–5.5 1.8 8.039.9 –3.1 1.6

5 5 418 11 978 85 8744 52 63

104 75 88.. .. .... .. .... .. ..

33 28 28.. 34.4 42.2.. .. ..

12.6 70.9 90.620.2 .. ..

.. .. ..

.. .. 20

90 61 74100 92 88

.. .. ..

.. .. ..

.. .. ..

.. 1.7 2.214.9 2.7 39.939.1 28.4 23.4








Palau


2000

2010 2014

1.7 3.3 3.475 77 782.7 2.5 2.482 101 94

.. 52 6393 94 9126 20 17

22.2 19.1 ..97 97 9092 94 1021.0 1.0 1.063 66 661.1 0.7 0.6

49 47 460.4 0.4

.. .. 0.890 93 9567 72 75

848 1,025 1,0571.9 2.4 ..

1,267 1,760 2,038

11.6 28.8 46.22.7 5.9 6.2

–1.2 5.0 2.17 4 3

19 21 2274 75 7473 71 8070 69 7524 24 27

23.1 .. ..–0.8 .. ..

18 9 6.. 78.9 78.9

1.0 .. ..13.4 180.7 158.1

6.6 40.1 44.994.3 81.5 83.7

1 1 0

36 96 74100 80 806.6 11.4 19.39.4 4.8 4.6

16.1 22.2 28.116 410 760

0.6 2.5 5.215 126 –196








Panama


2000

2010 2014

.. 4.7 ..59 62 634.5 4.0 3.8

342 238 215.. 32 ..

41 53 ..79 66 57

.. 49.5 ..62 55 6555 .. 79

0.8 .. 0.972 72 72

0.8 0.8 0.7

336 336 3360.0 0.0

0.0 0.0 0.035 39 4019 19 19

.. .. ..0.5 0.7 ..

.. .. ..

3.5 9.7 16.9–2.5 7.7 8.513.1 9.9 11.0

36 .. ..41 .. ..23 .. ..66 .. ..49 .. ..22 .. ..

24.2 .. ..–1.9 .. ..

52 52 53.. 41.1 45.6

1.0 0.5 0.60.2 27.8 44.90.8 1.3 9.4

28.2 34.8 51.019 14 3

92 100 57100 190 1892.3 6.0 20.9

12.9 13.3 13.00.0 0.0 0.07.2 3.5 10.4

95.9 28.7 –30.4275 511 577








Papua New Guinea


2000

2010 2014

3.0 3.6 4.370 72 733.6 2.7 2.5

158 139 13262 79 ..61 96 ..34 24 21

.. .. 10.992 94 9092 92 891.0 1.0 1.069 70 700.1 0.3 0.4

194 170 1531.3 2.0

0.4 .. 2.173 90 9869 83 89

726 774 7640.7 0.8 ..

887 1,179 1,473

8.2 20.0 30.9–2.3 13.1 4.711.7 6.1 5.1

16 23 2136 30 2949 47 5147 55 4738 51 4316 16 16

.. 19.9 22.6

.. 1.9 –1.0

72 35 35.. 70.0 72.2

1.4 1.1 1.515.3 91.7 105.6

0.7 19.8 43.027.0 29.7 40.8

3 7 6

37 83 71100 99 1033.1 12.7 14.1

11.2 4.1 19.5–47 –117 –87278 410 507104 344 52382 120 60








Paraguay


2000

2010 2014

3.4 4.2 4.471 74 75

2.9 2.5 2.5140 92 6869 74 7559 84 9039 21 17

31.3 23.3 18.497 94 89

101 103 961.0 1.0 1.070 76 760.6 0.4 0.4

761 748 7400.2 0.2

.. .. 0.880 85 8763 72 76

472 654 7081.2 2.0 ..

680 1,094 1,270

51 149 2032.7 8.5 2.43.8 6.0 3.0

9 7 732 38 3759 54 5617 27 2219 23 2418 25 26

18.2 20.1 21.5–2.1 0.5 2.0

98 27 26.. 81.1 93.3

1.8 1.3 1.44.9 99.5 103.63.1 34.8 40.2

27.2 18.7 24.84 7 4

28 44 40100 214 206

28.8 42.2 66.527.9 16.7 10.9

–635 –490 –2400.7 2.5 2.60.8 8.5 7.9397 –300 325








Peru


2000

2010 2014

5.4 6.0 5.967 68 68

3.8 3.1 3.0124 129 114

47 49 5558 72 7340 32 28

33.8 33.6 ..78 80 88

100 92 1011.0 1.0 1.065 65 650.1 0.1 0.1

70 68 800.3 –3.3

.. 16.5 17.087 90 9264 71 74

513 434 4570.9 0.9 ..

500 644 692

81 200 2854.4 7.6 6.15.7 4.2 3.214 12 1134 33 3152 55 5751 35 2953 37 3218 21 21

14.2 13.4 14.5–3.7 –3.5 –1.9

49 37 29.. 88.9 82.2

1.6 1.2 1.28.3 89.0 111.22.0 25.0 39.7

58.3 49.2 55.873 55 49

95 55 46100 69 65

58.5 65.3 77.716.0 18.7 7.2

–1,097 –1,829 –7007.0 21.6 28.42.2 1.1 6.2572 530 676








Philippines


2000

2010 2014

7.9 7.9 8.074 76 77

1.4 1.4 1.38 4 3.. .. ..

100 .. ..9 6 5.. .. ..

97 98 9894 95 981.0 1.0 1.056 56 570.1 0.1 0.1

91 93 94–0.3 –0.2

21.9 22.4 21.496 98 9887 94 97

2,320 2,640 2,4967.8 8.3 ..

3,256 3,797 3,938

172 479 5454.3 3.7 3.37.4 2.3 0.4

3 3 333 33 3364 64 6427 40 4734 42 4625 21 20

28.6 19.5 18.6–3.0 –6.2 –3.5

56 32 30.. 85.6 85.6

1.8 1.8 1.917.6 122.9 148.97.3 62.3 66.6

34.3 63.2 71.03 7 9

47 70 80100 102 99

.. .. ..

.. .. ..38.1 5.2 –73.8

1.5 7.7 7.49.3 18.4 17.3

.. .. ..








Poland


2000

2010 2014

.. 7.0 6.576 79 811.6 1.4 1.213 11 10

.. 67 ..100 .. ..

7 4 4.. .. ..

87 96 98.. .. ..

1.0 1.0 1.061 62 60

.. .. ..

33 32 320.3 0.4

29.3 24.1 24.198 100 10096 99 100

2,390 2,223 2,0286.1 4.7 ..

3,989 4,959 4,685

118 238 2303.8 1.9 0.93.5 0.6 1.0

4 2 228 23 2269 75 7628 30 4039 37 4029 21 15

35.1 26.6 30.8–4.2 –10.7 –5.4

78 5 3.. .. ..

1.9 2.0 1.864.7 115.3 112.116.4 53.3 64.6

135.6 205.9 173.36 4 4

54 53 62100 93 94

.. .. ..

.. .. ..178 127 –140

3,495 517 4246.7 8.5 12.4

.. .. ..







Population (millions) 10.4 Population growth (%) –0.5Surface area (1,000 sq. km) 92 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 222.1 GNI per capita, Atlas ($) 21,360GNI, PPP ($ billions) 295.1 GNI per capita, PPP ($) 28,370

Portugal


2000

2010 2014

.. .. ..77 78 792.0 1.6 1.522 16 1484 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. 1.0 1.047 44 43

.. .. ..

4.5 4.8 5.0–0.6 –0.7

12.1 14.0 14.094 .. ..99 99 99

.. .. ..

.. .. ..

.. .. ..

61.7 98.4 103.11.5 –2.6 –0.65.1 4.8 2.6

1 1 182 97 9517 2 472 76 7662 53 5520 9 10

.. .. ..

.. .. ..

7 7 6.. .. .... .. ..

34.7 79.1 87.110.5 45.3 78.8

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..–146 –138 –104

.. .. ..

.. .. ..

.. .. ..







Population (millions) 3.5 Population growth (%) –1.3Surface area (1,000 sq. km) 8.9 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 69.4 GNI per capita, Atlas ($) 19,310GNI, PPP ($ billions) 86.2 GNI per capita, PPP ($) 23,960

Puerto Rico


2000

2010 2014

.. .. ..76 78 79

3.2 2.1 2.024 16 1343 .. 38

100 100 10012 9 8

.. .. ..91 99 9992 94 ..1.1 1.0 ..76 86 87

.. .. ..

0.0 0.0 0.00.0 0.0

524.8 792.9 792.999 100 10099 98 98

18,401 15,657 19,12058.5 42.6 ..

14,325 14,940 15,471

18 125 2103.9 19.6 4.0

–5.0 7.0 0.10 0 0

71 68 6829 32 3267 62 6922 24 3020 31 32

.. 34.2 ..

.. 2.9 ..

.. 10 9

.. .. ..3.9 1.5 ..

20.4 125.0 145.84.9 69.0 91.5

40.1 71.6 80.40 0 0

84 78 79100 179 214

.. .. ..

.. .. ..185 855 364

.. 574 4990.3 4.7 1.0

.. .. ..








Qatar


2000

2010 2014

8.5 8.7 8.971 73 75

1.3 1.6 1.451 30 3164 .. ..99 99 ..27 14 11

12.8 .. ..98 95 8996 94 941.0 1.0 1.065 56 57

.. .. ..

64 65 69–0.2 –1.0

21.8 19.9 16.285 97 10074 78 79

1,614 1,730 1,5924.0 3.9 ..

1,988 2,551 2,495

37.4 168.0 199.02.4 –0.8 2.8

43.1 5.4 1.712 6 528 31 2760 62 6733 32 4138 38 4120 27 23

32.0 23.4 22.0–5.7 –5.9 –2.8

29 9 8.. 95.6 82.2

2.5 1.2 1.311.2 111.4 105.93.6 39.9 54.1

13.8 47.6 38.06 11 6

63 66 74100 108 107

11 115 11120.1 33.2 28.9

–490 –874 –4370.1 3.9 3.41.0 3.2 3.9

.. .. ..








Romania


2000

2010 2014

6.4 5.8 5.965 69 701.2 1.6 1.757 29 25

.. 68 ..99 100 ..23 12 10

.. .. ..97 98 9890 97 1011.0 1.0 1.061 63 64

.. .. ..

8,093 8,151 8,149–0.1 0.0

1.5 .. 1.595 96 9773 72 72

4,224 4,828 5,09310.6 12.2 ..

5,198 6,410 6,539

260 1,525 1,86110.0 4.5 0.637.7 14.2 7.2

6 4 438 35 3656 61 6044 29 3024 21 2319 23 20

24.6 20.0 21.52.5 –2.4 0.7

.. .. 11

.. .. ..3.6 3.9 4.52.2 165.5 155.12.0 43.0 70.5

24.9 37.7 52.416 9 11

58 43 43100 160 182

.. .. ..

.. .. ..1,735 2,157 1,118

1.3 5.3 7.82.7 43.2 22.9

.. .. ..







Population (millions) 143.8 Population growth (%) 0.2Surface area (1,000 sq. km) 17,098 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 1,930.6 GNI per capita, Atlas ($) 13,220GNI, PPP ($ billions) 3,237.4 GNI per capita, PPP ($) 22,160

Russian Federation


2000

2010 2014

5.2 5.1 ..48 61 645.6 4.4 3.9

1,020 381 29013 52 ..31 69 ..

184 64 4248.3 44.3 ..

74 95 9823 70 670.9 1.0 1.086 86 86

5.3 3.1 2.8

3.4 4.5 4.8–2.6 –1.5

1.6 .. 1.666 73 7647 57 62

.. .. ..0.07 0.06 ..

.. .. ..

1.7 5.7 7.98.3 7.3 7.02.8 2.6 3.637 33 3314 13 1449 55 53

6 12 1525 28 3113 23 26

.. 14.3 15.1

.. –1.1 –3.0

18 7 6.. 67.8 73.3

3.5 1.3 1.10.5 32.7 64.00.1 8.0 10.6

13.1 .. ..2 5 12

15 30 40100 221 1811.3 0.9 2.0

25.7 2.3 4.5–72.6 –75.0 –75.0

7 106 1288 42 292

0.3 1.0 1.0








Rwanda


2000

2010 2014

.. 6.3 ..69 72 744.5 4.3 4.193 64 5125 29 27

100 81 8322 19 18

6.4 .. ..93 61 9194 106 1001.1 1.1 1.154 43 42

.. .. ..

1.7 1.7 1.70.0 0.0

.. .. ..93 98 9992 92 92

.. 318 ..0.8 1.1 ..

.. .. ..

269 657 8006.9 0.5 1.22.9 1.5 0.3

.. .. ..

.. .. ..

.. .. ..30 29 2851 53 52

.. .. ..

.. 0.0 0.0

.. 0.0 0.0

42 9 9.. 48.9 53.3.. .. ..

1.4 48.4 55.50.6 7.0 21.2

18.3 63.9 77.41 0 2

64 58 58100 88 84139 325 4505.7 5.3 7.9

–15.7 –15.4 –12.745 139 141

–1.5 –1.3 22.827 148 93





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ millions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ millions)Foreign direct investment, net inflows ($millions)Net official development assistance received ($ millions)


Population (thousands) 192 Population growth (%) 0.8Surface area (1,000 sq. km) 2.8 Population living below $1.90 a day (%) <2GNI, Atlas ($ millions) 778.3 GNI per capita, Atlas ($) 4,060GNI, PPP ($ millions) 1,075.9 GNI per capita, PPP ($) 5,610

Samoa


2000

2010 2014

.. .. ..81 83 ..

.. .. 1.3

.. .. ..

.. .. ..

.. .. ..6 4 3.. .. ..

74 68 57.. 101 95.. 1.1 1.0.. .. .... .. ..

0.0 0.0 0.0.. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

774 1,900 ..2.2 1.9 ..2.6 3.2 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..46.4 45.6 ..–0.1 6.9 ..

.. .. 17

.. .. ..

.. .. ..53.8 99.1 118.848.8 49.6 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..








San Marino


2000

2010 2014

7.9 8.4 ..63 66 665.3 4.8 4.6

222 162 15629 38 4179 82 9389 56 47

35.2 31.6 ..69 92 9248 84 901.0 1.0 1.055 60 611.7 1.1 0.8

560 540 5400.4 0.0

.. .. 0.378 95 9721 33 35

.. 275 ..0.3 0.6 ..

.. .. ..

72 195 3373.2 4.5 4.5

11.9 10.7 5.821 23 2320 14 1060 63 67

.. .. ..

.. .. ..

.. .. ..16.1 19.6 15.2–8.4 –10.8 –12.1

.. 144 5

.. 61.1 65.6

.. .. ..0.0 57.6 64.94.6 18.8 24.42.6 40.6 26.2

1 14 1

43 63 55100 133 134304 181 21225.4 6.0 13.7–5.6 –5.6 –5.60.5 6.4 26.83.8 50.6 27.1

34.9 49.3 38.6








São Tomé and Príncipe


2000

2010 2014

.. .. ..73 74 744.0 3.0 2.823 14 1221 24 ..

.. 97 ..23 17 15

.. .. ..94 98 98

.. 93 111

.. 0.9 0.949 52 55

.. .. ..

9.8 9.8 9.80.0 0.0

.. 986.3 986.395 97 9797 100 100

4,574 6,603 6,36313.9 19.0 ..

5,472 7,785 8,741

188 527 7544.9 4.8 3.6

11.6 17.2 –2.35 2 2

54 59 5641 39 4144 50 4725 33 3419 31 29

.. .. ..

.. .. ..

77 23 19.. .. ..

10.6 8.6 10.76.8 189.2 179.62.2 41.0 63.7

34.7 –0.1 1.80 1 1

57 68 69100 170 205

.. .. ..

.. .. ..945 815 850

.. 236 269–1.9 29.2 8.0

22 –131 ..







Population (millions) 30.9 Population growth (%) 2.2Surface area (1,000 sq. km) 2,150 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 759.3 GNI per capita, Atlas ($) 25,140GNI, PPP ($ billions) 1,549.8 GNI per capita, PPP ($) 51,320

Saudi Arabia


2000

2010 2014

6.6 6.1 ..58 64 665.6 5.2 5.1

488 375 31511 13 2258 65 59

135 65 4729.5 28.7 19.4

48 81 8039 56 590.8 1.0 ..76 76 770.7 0.7 0.5

89 85 830.5 0.5

8.6 .. 8.667 75 7940 45 48

243 296 2610.4 0.6 ..

102 199 219

4.7 12.9 15.73.2 4.2 4.71.9 1.6 0.119 18 1623 23 2458 59 6128 25 2737 40 4620 22 26

16.9 19.3 20.2–0.9 –5.2 –5.3

57 9 6.. 73.3 75.6

1.3 1.5 1.52.5 64.4 98.80.4 8.0 17.7

23.5 28.8 34.17 1 4

52 54 60100 99 1093.7 3.9 5.7

16.3 8.9 8.9–151 –166 –100

0.2 1.5 1.663 266 343

431 937 1,107








Senegal


2000

2010 2014



Serbia

8.0 8.4 ..72 74 761.5 1.4 1.417 16 1759 61 5898 100 9813 8 7

.. 6.6 6.089 95 86

.. 96 1021.0 1.0 1.055 52 53

.. .. ..

25 27 27–1.0 –0.1

.. 47.0 49.099 99 9997 97 96

1,826 2,141 2,078.. 6.3 ..

4,199 4,359 4,444

6.5 39.5 43.97.8 0.6 –1.8

78.6 5.9 1.920 10 1033 28 3047 61 6110 33 4414 48 5411 18 16

.. 36.5 34.9

.. –3.8 –6.1

56 13 12.. 75.6 90.0

5.2 2.2 2.2.. 125.3 122.1.. 40.9 53.5

58.3 56.2 52.83 4 ..

.. 67 81

.. 106 10311.6 32.9 33.1

.. 32.7 41.4–276 –38 –100

.. 4.1 3.70.1 1.7 2.0

1,134 660 371






e

ee


2000

2010 2014

5.7 .. ..73 73 732.1 2.1 2.3

.. .. ..

.. .. ..

.. .. ..14 14 14

.. .. 7.997 99 9999 .. 1121.1 1.0 1.0

.. .. ..

.. .. ..

410 410 4100.0 0.0

.. .. ..96 96 9698 98 98

.. 2,411 ..6.9 7.7 ..

.. .. ..

615 970 1,4231.5 5.9 3.34.0 –4.2 3.1

3 2 229 14 1268 67 7175 94 8382 108 9825 37 37

38.7 35.1 34.1–13.9 1.4 4.8

.. 33 32

.. 58.9 65.61.7 0.7 1.1

32.5 128.9 162.27.4 41.0 54.3

110.1 49.6 33.12 3 ..

87 143 118100 86 88

.. .. ..4.2 5.7 5.72.5 –1.1 –1.63.2 17.4 15.124 160 108

23.1 56.0 9.7






Sub-Saharan Africa High income

Population (thousands) 91 Population growth (%) 1.7Surface area (sq. km) 455 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 1.3 GNI per capita, Atlas ($) 14,120GNI, PPP ($ billions) 2.3 GNI per capita, PPP ($) 24,810

Seychelles


2000

2010 2014

6.6 7.9 ..39 48 51

6.3 5.2 4.62,650 1,630 1,360

4 11 1742 63 60

236 160 12038.4 44.9 37.9

37 81 78.. 75 70

0.7 0.9 1.064 67 671.0 1.6 1.4

29 27 300.7 –2.2

0.1 0.1 0.147 57 6311 13 13

.. .. ..0.1 0.1 ..

.. .. ..

0.6 2.6 4.86.7 5.3 4.63.3 17.2 –0.258 56 5628 8 1613 36 2818 17 ..39 34 ..

1 31 .... .. .... .. ..

26 12 10.. 52.2 63.3

3.7 1.0 0.80.3 34.8 76.70.1 0.6 2.1

54.4 17.3 14.828 .. 0

25 43 70100 71 561.2 0.9 1.2

76.4 2.7 2.3500 60 –217.1 44.2 62.439 238 690

181 458 911








Sierra Leone


2000

2010 2014

.. .. ..78 82 831.4 1.2 1.318 11 10

.. .. ..100 .. ..

4 3 34.4 .. ..96 95 95

.. .. ..

.. .. ..65 67 68

.. .. ..

160 160 1600.0 0.0

.. .. ..100 100 100100 100 100

4,635 5,007 4,83312.2 2.7 ..

7,575 8,571 8,840

96 236 3088.9 15.2 2.93.7 0.0 0.2

0 0 035 28 2565 72 75

189 199 188177 173 16335 28 28

25.7 17.0 17.811.1 7.6 8.6

8 3 3.. .. ..

4.5 3.4 3.270.1 145.4 146.936.0 71.0 82.076.7 80.8 126.3

63 50 47

284 280 252100 80 78

.. .. ..

.. .. ..436 449 398

.. .. ..16.5 55.1 67.5

.. .. ..







Population (millions) 5.5 Population growth (%) 1.3Surface area (sq. km) 717 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) 301.6 GNI per capita, Atlas ($) 55,150GNI, PPP ($ billions) 439.0 GNI per capita, PPP ($) 80,270

Singapore


2000

2010 2014

.. .. ..

.. 76 732.0 2.0 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. .... ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. 54.1 62.1

.. –48.5 47.7

.. .. ..








Sint Maarten (Dutch part)


2000

2010 2014

.. 8.5 8.673 75 771.3 1.4 1.3

8 6 6.. .. ..

100 99 ..12 8 7

.. .. ..98 98 9797 100 96

1.0 1.0 1.060 59 600.1 0.1 0.1

19 19 19–0.1 0.0

9.0 5.5 5.5100 100 10099 99 99

3,293 3,307 2,8476.7 6.7 ..

4,956 5,201 5,202

29.1 89.3 100.21.2 5.1 2.59.4 0.5 –0.2

4 3 436 35 3460 62 6254 77 9257 78 8828 24 21

1.2 15.3 20.8–0.3 –6.6 –2.3

103 18 12.. 83.3 86.7

1.7 1.3 1.023.1 109.0 116.9

9.4 75.7 80.055.8 64.8 65.7

4 7 10

84 145 168100 94 94

.. .. ..

.. .. ..1.2 9.6 1.20.0 1.6 2.42.1 2.1 0.1

.. .. ..








Slovak Republic


2000

2010 2014

8.7 9.7 9.475 79 81

1.3 1.6 1.612 9 9

.. .. ..100 100 ..

6 3 3.. .. ..

95 95 9496 97 981.0 1.0 1.057 59 580.1 0.1 0.1

12 12 12–0.1 0.0

4.8 5.0 5.0100 100 10099 99 99

3,224 3,539 3,2727.2 7.5 ..

5,778 6,521 6,833

20.3 48.0 49.54.2 1.2 3.05.4 –1.0 0.8

3 2 235 31 3362 67 6550 64 7754 63 6929 22 20

38.2 36.1 38.0–1.1 –5.4 –3.5

60 6 6.. .. ..

1.1 1.6 1.061.1 103.3 112.115.1 70.0 71.642.0 96.0 68.7

5 6 6

93 123 142100 96 95

.. .. ..

.. .. ..15.0 49.6 4.3205 347 757136 319 1,030

60.8 .. ..








Slovenia


2000

2010 2014

.. .. ..63 67 684.7 4.2 4.0214 136 114

7 35 ..85 86 ..33 32 28

.. 32.8 ..91 85 93

.. 85 870.9 0.9 1.066 66 66

.. .. ..

23 22 220.2 0.3

.. .. ..80 80 8126 28 30

.. 130 ..0.4 0.4 ..

.. .. ..

435 672 1,158–14.3 6.9 1.510.7 5.2 8.8

35 .. ..13 .. ..53 .. ..24 50 5639 82 67

7 .. .... .. .... .. ..

55 55 9.. 40.0 48.9.. .. ..

0.3 21.9 65.80.5 5.0 9.0

26.5 27.2 22.2.. 87 0

37 94 83100 96 104156 231 1877.1 6.2 2.8

–4.9 –11.9 –11.94.3 14.3 16.313 166 2168 340 199








Solomon Islands


2000

2010 2014

.. .. ..51 54 557.6 6.9 6.5

1,080 820 7328 15 ..

33 33 ..174 160 137

29.2 25.3 ..24 46 46

.. .. ..

.. 0.5 ..56 56 560.7 0.6 0.5

75 67 641.1 1.2

54.8 55.0 55.024 31 ..22 23 ..

.. .. ..0.07 0.06 ..

.. .. ..

.. .. 5,707

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. 14

.. .. 61

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. 26.7 20.0

.. .. 0.01.1 6.7 50.90.0 1.3 1.6

.. .. ..

.. .. ..

.. .. ..100 101 1122.6 3.0 2.9

.. .. ..–200 –350 –400

.. .. ..0 112 106

102 506 1,109







Population (millions) 10.5 Population growth (%) 2.4Surface area (1,000 sq. km) 638 Population living below $1.90 a day (%) ..GNI, Atlas ($ millions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Somalia


2000

2010 2014

3.1 2.5 ..56 54 572.9 2.5 2.485 154 13860 .. ..91 94 ..75 54 41

30.9 23.9 ..72 74 7086 .. ..1.0 1.1 1.157 51 53

15.7 18.4 18.9

92 92 920.0 0.0

27.9 .. 27.987 91 9357 64 66

2,478 2,791 2,6588.4 9.0 ..

4,681 4,581 4,328

136 375 3504.2 3.0 1.58.8 6.4 5.8

3 3 232 30 2965 67 6827 29 3124 27 3316 20 20

25.7 26.7 27.9–1.9 –4.4 –4.3

36 22 46.. 82.2 81.1

1.4 1.1 1.118.6 97.9 149.25.3 24.0 49.0

148.6 185.5 185.67 5 6

44 50 61100 141 135

25 108 1449.9 5.6 8.6

1,072 1,403 600344 1,070 9131.0 3.7 5.70.5 1.0 1.1








South Africa


2000

2010 2014

.. .. ..49 54 56

6.2 5.4 5.01,310 876 789

.. 4 ..

.. 19 ..182 111 93

.. 31.1 ..

.. 62 22

.. 37 ..

.. .. ..

.. .. ..2.1 2.8 2.7

.. 72 720.0 0.0

.. .. 2.5

.. 59 59

.. 7 7

.. .. 59

.. .. ..

.. .. 39

.. 15.7 13.3

.. 5.5 3.4

.. 21.6 –3.1

.. .. ..

.. .. ..

.. .. ..

.. 61 20

.. 30 34

.. 10 10

.. .. ..

.. .. ..

.. .. 14

.. .. 34.4

.. 4.1 8.2

.. 14.4 24.5

.. 7.0 15.9

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..432 785 865

.. .. ..

.. .. –700

.. 437 1,964








South Sudan


2000

2010 2014

.. 6.0 5.879 82 83

1.2 1.4 1.35 5 5

72 66 .... .. ..7 5 4.. .. ..

94 95 96.. 103 100

1.0 1.0 1.053 59 59

.. .. ..

170 182 184–0.7 –0.2

32.3 30.2 30.2100 100 100100 100 100

3,026 2,743 2,4507.3 5.8 ..

5,207 5,707 5,401

595 1,432 1,3815.3 0.0 1.43.3 0.2 –0.4

4 3 331 26 2265 71 7529 26 3332 27 3027 24 20

.. 15.6 17.4

.. –4.8 –4.8

138 52 14.. .. ..

1.2 1.0 0.960.2 111.3 107.813.6 65.8 76.2

116.4 241.0 210.68 6 7

46 41 49100 94 89

.. .. ..

.. .. ..2,829 2,250 –593

4.9 1.6 3.138.8 41.0 34.2

.. .. ..








Spain


2000

2010 2014

6.9 7.7 7.371 74 75

2.2 2.2 2.157 35 3070 68 ..96 99 ..16 11 10

18.4 19.2 14.799 99 99

107 99 98.. 1.0 1.0

57 55 550.1 0.1 0.1

22 21 210.4 0.3

24.6 24.5 24.580 91 9681 92 95

436 472 4880.5 0.6 ..

290 451 526

16.3 56.7 78.86.0 8.0 4.57.3 22.8 2.720 9 827 30 3053 61 6239 20 ..50 27 ..28 24 ..

16.8 12.7 12.0–8.4 –6.3 –5.3

56 38 10.. 76.7 73.3

5.0 2.7 2.32.3 83.6 103.20.6 12.0 25.8

43.7 35.4 43.03 1 1

77 39 39100 110 1069.2 21.8 43.6

12.1 12.2 14.7–449 –520 –485

1.2 4.1 7.0173 478 944275 583 488








Sri Lanka


2000

2010 2014

.. .. ..71 .. ..

2.1 .. .... .. .... 54 ..

99 100 10019 13 11

.. .. ..99 99 93

103 89 821.1 1.0 1.0

.. .. ..

.. .. ..

110 110 1100.0 0.0

.. .. 65.098 98 9887 87 ..

.. 1,645 ..2.3 5.0 ..

.. .. ..

420 692 8525.0 –3.2 6.92.6 0.9 1.3

2 2 130 27 2568 72 7336 31 3859 53 4752 34 30

22.4 27.2 32.6–11.2 –4.0 11.2

.. 19 19

.. 61.1 56.7

.. .. ..2.6 152.8 118.65.9 63.0 65.4

98.8 127.9 81.11 1 ..

55 44 37100 74 68

.. .. ..

.. .. ..

.. .. ..27.1 47.0 51.6

96 116 1203.9 11.4 29.3








St. Kitts and Nevis


2000

2010 2014

.. .. ..71 74 75

2.3 2.0 1.954 54 4847 .. 56

100 99 9918 16 14

.. .. 2.588 95 99

105 108 ..1.1 1.0 ..69 69 69

.. .. ..

210 210 2000.3 0.3

.. 14.3 14.394 96 9683 89 91

.. 752 ..2.1 2.3 ..

.. .. ..

781 1,249 1,4044.4 –1.7 0.58.0 7.1 4.8

6 3 317 16 1377 81 8448 49 4557 63 5027 28 19

23.1 23.0 22.9–1.0 –0.6 –6.5

.. 14 11

.. 60.0 61.1

.. .. ..1.6 111.7 102.65.1 43.3 51.0

70.9 111.6 108.26 17 5

51 70 54100 104 96222 580 5287.9 7.4 5.7

–0.2 2.9 0.026.4 29.0 30.1

54 121 7511.0 41.2 18.1







Population (thousands) 184 Population growth (%) 0.7Surface area (sq. km) 620 Population living below $1.90 a day (%) 35.8GNI, Atlas ($ billions) 1.3 GNI per capita, Atlas ($) 7,260GNI, PPP ($ billions) 1.9 GNI per capita, PPP ($) 10,540

St. Lucia


2000

2010 2014

.. .. ..77 79 791.8 1.8 1.8

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

10.0 10.0 10.00.0 0.0

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..








St. Martin (French part)


2000

2010 2014

.. .. ..71 72 73

2.4 2.1 2.074 50 4558 48 ..

100 99 9922 21 18

.. .. ..96 99 9993 94 1011.1 1.0 1.065 67 67

.. .. ..

260 270 270–0.4 0.0

.. .. 8.594 95 9573 76 ..

.. 642 ..1.4 2.1 ..

.. .. ..

396 681 7291.6 –3.4 0.6

–0.2 4.4 0.69 7 8

20 19 1772 73 7545 27 2551 57 5623 25 22

.. .. ..

.. .. ..

.. 10 10

.. 54.4 55.6

.. .. ..2.2 120.6 105.23.2 38.5 56.5

64.2 54.9 57.90 0 0

53 56 56100 108 94195 295 3397.2 18.6 15.8

–5.2 –5.1 –5.022.5 29.1 32.6

38 97 1396.2 16.9 9.2








St. Vincent and the Grenadines


2000

2010 2014



Sudan

.. 6.8 ..58 62 635.4 4.6 4.4

544 349 3117 9 12.. 23 ..

106 80 7047.6 38.3 38.2

58 90 86.. 60 56

0.8 0.9 0.952 53 540.1 0.2 0.2

290 272 1920.8 0.9

.. .. 673.362 55 5625 23 24

383 362 3750.2 0.3 ..62 131 159

12.3 65.6 73.86.3 3.5 3.19.9 19.6 29.942 25 2921 28 2037 47 5016 20 613 17 1325 23 18

8.0 .. ..–0.4 .. ..

.. 35 36

.. 44.4 51.14.8 .. ..0.1 41.5 72.20.0 16.7 24.68.9 22.0 20.9

4 0 ..

27 33 18100 198 ..15.8 22.2 21.813.5 4.2 4.4–430 –500 –800

641 1,100 5070.4 2.1 1.3

225 2,028 872






ff

f

ff

ff

ff

f

ff

f

f

f

ff

ff

ff

g

g

gg


2000

2010 2014

.. .. ..68 70 712.8 2.5 2.4

259 169 15542 48 ..85 91 ..34 25 21

14.5 8.8 ..84 90 85

.. 92 941.1 1.1 1.151 54 55

1.0 1.1 1.0

154 154 1530.0 0.0

0.7 0.6 0.689 94 9581 80 79

.. 1,425 ..4.4 4.6 ..

.. .. ..

0.9 4.4 5.2–0.1 5.2 1.854.8 7.2 –0.3

11 8 725 52 4964 40 4420 .. ..33 .. ..12 .. 6

34.1 20.5 25.71.1 –2.1 –1.2

.. 690 84

.. 71.1 62.2

.. .. ..8.8 99.3 170.62.5 31.6 40.1

33.7 26.9 38.98 12 21

104 78 80100 140 122

.. .. ..

.. .. ..–22.1 –5.7 –5.0

1.3 4.3 8.8–148 –248 –210

34 104 13








Suriname


2000

2010 2014

4.5 4.0 ..49 48 49

4.2 3.6 3.3586 436 389

28 65 6670 82 88

128 88 6136.6 31.0 ..

92 94 8661 77 791.0 0.9 0.956 57 58

25.2 27.4 27.7

5.2 5.6 5.9–0.8 –0.8

39.5 .. 39.552 70 7452 57 58

.. 373 ..1.1 0.9 ..

.. .. ..

1.5 3.5 4.41.8 1.7 2.59.9 –4.7 6.112 8 644 50 4444 42 5074 58 ..88 75 ..18 14 ..

.. .. ..

.. .. ..

.. 56 30

.. 67.8 58.91.6 2.9 1.83.1 60.8 72.30.9 11.0 27.1

11.1 18.1 16.50 0 ..

128 107 79100 115 107260 707 4382.2 1.9 1.3

–46.1 –6.0 –6.056.9 54.7 24.5

91 136 2713.1 91.1 85.9








Swaziland


2000

2010 2014

.. 9.0 8.780 81 821.5 2.0 1.9

5 4 4.. .. .... .. ..4 3 3.. .. ..

91 97 97100 97 1021.2 1.0 1.163 64 640.1 0.2 0.2

282 281 2810.0 0.0

1.6 1.5 1.6100 100 10099 99 99

5,360 5,428 4,8115.6 5.6 ..

15,682 14,934 13,870

260 488 5714.7 6.0 2.31.6 1.0 1.6

2 2 130 29 2668 69 7344 46 4538 41 4123 23 24

38.0 29.8 28.71.2 –0.4 –1.2

16 16 7.. .. ..

1.8 1.2 1.271.8 117.2 127.845.7 90.0 92.546.3 146.9 157.5

23 14 14

62 63 57100 95 92

.. .. ..

.. .. ..142 262 273438 762 4,44223.9 2.3 –2.5

.. .. ..








Sweden


2000

2010 2014

.. 7.7 8.180 82 831.5 1.5 1.5

7 6 5.. .. .... 100 ..6 5 4.. .. ..

82 92 9396 96 971.0 1.0 1.067 68 68

.. .. ..

12 12 13–0.3 –0.3

6.2 5.5 4.9100 100 100100 100 100

3,480 3,347 3,0755.4 5.0 ..

7,846 8,175 7,807

272 581 7013.9 3.0 1.91.4 0.3 –0.7

1 1 126 26 2672 73 7352 64 6446 54 5325 24 23

22.4 10.0 9.92.0 0.3 0.1

20 18 10.. .. ..

1.0 0.7 0.764.7 123.2 136.747.1 83.9 87.0

158.2 173.5 176.022 25 26

60 64 84100 108 102

.. .. ..

.. .. ..186 345 3821.1 2.5 2.3

19.8 17.7 22.7.. .. ..








Switzerland


2000

2010 2014

.. .. ..73 72 704.0 3.1 3.073 49 6845 54 ..

.. 96 ..23 15 13

24.3 27.5 ..84 82 5492 106 690.9 1.0 1.051 44 440.1 0.1 0.1

4.3 4.9 4.9–1.3 0.0

229.4 235.0 235.088 90 9089 95 96

944 1,045 5923.1 3.0 ..

1,069 1,880 999

19.3 40.4 ..2.7 5.7 ..9.7 12.0 ..24 18 ..38 33 ..38 49 ..35 39 ..29 38 ..17 28 ..

26.6 22.7 ..–1.1 –3.1 ..

43 13 13.. 56.7 47.8

5.3 4.1 ..0.2 54.3 63.90.2 20.7 28.1

25.5 36.2 ..1 1 ..

44 65 ..100 130 140

22.2 5.3 4.66.8 3.1 ..

–380 370 –4,0300.2 1.6 1.60.3 1.5 ..159 135 4,198







Population (millions) 22.2 Population growth (%) 1.7Surface area (1,000 sq. km) 185 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Syrian Arab Republic


2000

2010 2014

8.3 8.4 ..64 69 704.0 3.5 3.568 35 3234 37 2871 88 8793 53 45

42.1 28.8 26.888 94 9891 101 97

0.9 0.9 0.967 67 68

0.2 0.3 0.4

4.1 4.1 4.10.0 –0.1

18.8 18.1 18.160 70 7490 94 95

347 287 3030.4 0.4 ..

2,172 1,880 1,682

0.9 5.6 9.28.3 6.5 6.7

22.7 12.5 5.527 22 2739 28 2234 50 5199 15 19

101 53 689 18 19

10.6 .. ..–0.8 .. ..

.. 16 11

.. 74.4 81.11.2 1.0 1.10.0 77.9 95.10.0 11.6 17.5

17.9 7.6 19.542 .. ..

170 68 60100 110 911.1 3.1 4.0

12.7 76.3 13.2–97 –65 –1170.1 2.3 4.024 –16 261

124 433 356








Tajikistan


2000

2010 2014

6.8 7.4 ..50 62 655.7 5.4 5.1

842 514 39825 34 ..36 49 ..

131 63 4948.3 42.5 ..

78 92 9950 88 74

.. 1.0 1.089 89 897.9 6.1 5.3

519 479 4610.8 0.8

6.2 .. 6.254 55 56

9 13 16396 449 4700.08 0.15 ..

58 94 89

10.2 31.4 48.14.9 6.4 7.07.6 9.2 4.733 32 3119 22 2547 46 4413 19 1920 29 3017 27 31.. 12.7 12.6.. –1.9 –5.3

34 29 26.. 67.8 75.6

1.3 0.9 1.00.3 46.7 62.80.1 2.9 4.9

10.7 15.5 20.21 3 3

22 38 35100 140 1367.2 9.0 14.4

11.9 3.0 2.9–296 –265 –200

8 344 3890.5 1.8 2.01.1 3.0 2.6








Tanzania


2000

2010 2014

6.2 6.6 6.771 74 741.7 1.5 1.525 23 2079 80 7999 100 10023 15 12

.. 15.7 16.394 98 9985 .. ..1.0 1.0 1.073 72 722.1 1.3 1.1

170 162 1640.5 –0.2

.. 25.5 25.592 96 9891 93 93

1,153 1,767 1,9883.0 4.5 ..

1,454 2,325 2,471

126 341 4054.5 7.5 0.91.3 4.1 1.0

9 11 1037 40 3755 49 5365 66 6956 61 6322 25 24

15.5 17.3 19.5–1.8 –1.9 –0.8

33 32 28.. 80.0 85.6

1.5 1.5 1.44.9 108.0 144.43.7 22.4 34.9

134.3 133.5 168.633 24 20

104 110 113100 98 9580 106 136

16.3 4.7 5.21,103 –859 100

1.7 3.6 5.73.4 14.7 3.7

697 –12 351







Population (millions) 67.7 Population growth (%) 0.4Surface area (1,000 sq. km) 513 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 391.7 GNI per capita, Atlas ($) 5,780GNI, PPP ($ billions) 1,006.9 GNI per capita, PPP ($) 14,870

Thailand


2000

2010 2014

7.1 9.0 ..59 67 687.1 5.6 5.1

694 317 2158 22 ..

24 29 ..110 64 53

55.7 57.7 ..56 66 74

.. 80 98

.. 1.0 1.056 39 38

.. .. ..

8.5 7.4 6.91.4 1.6

.. 14.3 14.354 68 7237 39 41

.. 60 ..0.2 0.2 ..

.. .. ..

368 934 1,41717.5 9.4 7.05.6 4.4 0.428 20 1916 18 1856 62 6310 10 8

168 116 9638 40 39

.. .. ..

.. .. ..

.. 110 9

.. 55.6 62.2

.. 2.8 2.12.1 43.8 119.40.0 0.2 1.1

–8.7 –23.7 –1.1.. .. 10

30 28 68.. .. .... .. .... .. ..0 –105 –50.. 137 44

4.5 30.3 33.9231 291 247








Timor-Leste


2000

2010 2014

.. 4.8 ..53 57 605.4 4.9 4.6

491 393 36826 15 2049 59 59

121 91 7829.8 29.8 27.5

58 68 8265 70 850.7 0.8 ..79 81 81

3.5 2.8 2.4

4.9 2.9 1.95.1 8.1

1.5 .. 1.554 60 6311 12 12

433 487 4630.3 0.3 ..96 125 148

1.3 3.2 4.5–0.8 4.0 5.7–4.3 1.2 –1.4

35 31 4218 17 1747 52 4134 40 5048 57 10115 19 21

.. 17.4 21.0

.. 0.6 –4.6

74 84 10.. 51.1 65.6

1.7 1.8 ..1.0 41.3 64.60.8 3.0 5.7

22.4 31.7 39.71 0 0

71 84 92100 116 1111.4 1.3 1.06.6 2.6 2.3

–10.0 –10.0 –10.034 337 34342 125 29270 404 208








Togo


2000

2010 2014

.. 6.6 ..71 72 73

4.3 3.9 3.797 130 12433 32 3495 98 9818 17 17

.. .. 8.188 68 67

107 .. 1111.0 1.0 1.061 64 64

.. .. ..

90 90 900.0 0.0

.. .. ..99 99 10093 92 91

.. 568 ..1.0 1.1 ..

.. .. ..

189 370 4343.4 4.2 2.13.1 3.5 2.323 19 2121 21 1956 61 6115 13 1847 48 5421 30 34

.. .. ..

.. .. ..

32 25 16.. 58.9 47.8.. .. ..

0.2 52.2 64.32.4 16.0 40.0

38.8 40.3 29.50 0 2

42 45 51100 90 85

74 154 1968.9 7.4 5.8

–8.1 –8.2 –8.153 77 1144.8 9.0 56.0

18.8 70.4 79.9







Population (thousands) 106 Population growth (%) 0.4Surface area (sq. km) 750 Population living below $1.90 a day (%) <2GNI, Atlas ($ millions) 449.4 GNI per capita, Atlas ($) 4,260GNI, PPP ($ millions) 556.0 GNI per capita, PPP ($) 5,270

Tonga


2000

2010 2014

.. .. ..69 70 701.8 1.8 1.862 65 6338 43 ..96 98 10029 24 20

5.3 .. ..90 92 9693 95 ..

.. .. ..61 64 64

.. .. ..

2.3 2.3 2.30.3 –0.7

8.2 9.0 10.093 95 9591 91 92

7,760 15,109 14,53818.8 38.3 ..

3,991 6,189 6,876

8.2 21.0 28.97.6 –0.1 0.8

11.4 10.7 4.51 1 1

49 63 5749 37 4359 58 4445 33 3117 14 14

27.1 34.7 ..2.0 –1.6 ..

.. 40 12

.. 71.1 56.70.0 0.7 0.8

12.8 142.6 147.37.7 48.5 65.1

45.2 33.8 29.11 0 ..

93 83 70100 122 145

.. .. ..

.. .. ..–13.2 –11.3 –5.0

38 91 131680 549 2,423–1.5 4.3 ..







Population (millions) 1.4 Population growth (%) 0.5Surface area (1,000 sq. km) 5.1 Population living below $1.90 a day (%) 3.4GNI, Atlas ($ billions) 27.2 GNI per capita, Atlas ($) 20,070GNI, PPP ($ billions) 43.3 GNI per capita, PPP ($) 31,970

Trinidad and Tobago


2000

2010 2014

6.0 6.7 ..73 75 742.1 2.1 2.284 67 6266 60 6390 95 9932 17 14

16.8 9.0 10.195 97 9887 99 971.0 1.0 ..48 47 480.1 0.1 0.1

8 10 10–1.7 –1.0

67.9 .. 78.890 96 9882 89 92

765 975 9562.1 2.5 ..

992 1,376 1,435

21.5 44.1 48.64.7 3.5 2.73.3 3.8 5.411 8 930 32 2958 60 6240 50 4543 55 5526 27 22

26.5 29.0 31.3–2.4 –1.4 –5.1

11 11 11.. 78.9 76.7

1.5 1.3 1.91.2 104.5 128.52.8 36.8 46.2

66.4 74.1 84.63 5 5

67 88 86100 113 11611.4 22.5 26.421.9 10.4 8.7–139 –33 –33

0.8 2.1 2.30.8 1.3 1.0

222 550 921








Tunisia


2000

2010 2014

5.8 5.9 5.870 74 75

2.5 2.1 2.179 23 1671 73 7383 95 9740 19 14

19.1 12.3 9.587 97 94

.. 99 1000.8 0.9 1.049 49 49

.. .. ..

102 112 117–1.0 –0.9

18.5 17.7 17.793 99 10088 93 95

1,201 1,456 1,5733.4 4.1 ..

1,653 2,492 2,789

267 731 7986.8 9.2 2.9

49.2 5.7 8.311 9 831 26 2757 64 6520 21 2823 27 3221 20 20

17.6 24.0 25.7–5.8 –3.0 –0.8

39 7 8.. 84.4 82.2

3.7 2.4 2.225.5 85.6 94.8

3.8 39.8 51.037.9 71.8 88.1

5 2 2

31 41 50100 92 92117 299 408

38.9 36.6 25.0–100 –50 2,000

4.6 1.1 1.11.0 9.1 12.80.3 1.0 3.4







Population (millions) 75.9 Population growth (%) 1.2Surface area (1,000 sq. km) 784 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 822.4 GNI per capita, Atlas ($) 10,830GNI, PPP ($ billions) 1,485.2 GNI per capita, PPP ($) 19,560

Turkey


2000

2010 2014

6.1 .. ..64 65 662.8 2.4 2.359 46 4262 48 ..97 100 ..82 60 51

28.1 .. ..96 99 99

.. .. ..

.. .. 1.061 61 62

.. .. ..

41 41 410.0 0.0

1,773.0 1,989.3 1,989.360 .. ..62 .. ..

3,306 4,499 5,0127.9 11.4 ..

1,698 2,403 2,602

2.9 22.1 47.95.5 9.2 10.3

23.5 0.3 6.024 15 1544 48 4831 37 3796 78 7381 45 4435 53 47

.. .. ..

.. .. ..

.. .. ..

.. 38.9 33.32.9 .. ..0.2 63.4 135.80.1 3.0 12.2

.. .. ..5 .. ..

148 55 58100 190 224

2,509 529 441.. .. ..

–114 –57 –25.. .. ..

0.1 3.6 3.235.3 45.8 34.2








Turkmenistan


2000

2010 2014

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..88 100 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..1.0 .. ..

.. .. ..

.. .. ..

340 340 3400.0 0.0

.. .. ..87 87 ..81 81 ..

.. .. ..0.8 6.2 ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..20 2 2

.. .. ..100 73 71

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..6.7 15.4 ..








Turks and Caicos Islands


2000

2010 2014

.. .. ..

.. .. ..

.. .. ..

.. .. ..32 31 ..

100 98 ..43 32 27

.. 10.0 ..81 85 96

102 .. 931.1 .. 1.1

.. .. ..

.. .. ..

10.0 10.0 10.00.0 0.0

.. .. ..94 98 9878 83 83

.. .. ..

.. .. ..

.. .. ..

13.7 31.8 37.9–1.0 –2.7 2.012.8 2.6 3.7

20 29 228 6 9

72 65 69.. .. .... .. .... .. .... .. .... .. ..

.. .. ..

.. .. 37.8

.. .. ..0.0 16.3 38.45.2 25.0 37.0

.. .. ..28 .. ..

36 51 32.. .. .... .. .... .. .... .. .... 3.9 4.1.. 0.5 0.3

4.0 13.3 34.4








Tuvalu


2000

2010 2014

5.9 5.9 6.146 56 58

6.9 6.2 5.8620 420 343

23 30 ..39 57 ..

148 75 5544.8 33.7 ..

57 73 8261 57 56

0.9 1.0 1.082 78 777.4 6.9 7.3

39 28 213.3 5.5

0.8 .. 1.656 73 7916 18 19

.. .. ..0.06 0.11 ..

.. .. ..

6.2 20.2 27.03.1 5.2 4.8

11.1 12.8 2.329 28 2723 20 2248 52 5111 17 1822 29 2819 26 27

10.8 10.5 11.2–1.9 –3.4 –2.1

34 24 27.. 70.0 72.2

2.5 3.2 1.20.5 37.7 52.40.2 12.5 17.7

12.2 14.6 16.84 2 2

31 31 30100 114 1153.5 3.0 5.1

10.6 1.8 2.1–5 –135 –150

238 771 887161 544 1,1470.9 1.7 1.6








Uganda


2000

2010 2014

8.8 10.2 10.368 70 711.1 1.4 1.534 26 2472 67 65

100 100 9919 12 9

22.9 .. ..99 56 7998 98 1101.0 1.0 1.058 59 600.7 1.2 1.2

95 95 970.0 –0.2

33.2 27.4 27.098 97 9695 96 96

2,721 2,887 2,5536.5 6.6 ..

2,778 3,550 3,600

31.3 136.4 131.85.9 4.2 –6.8

23.1 13.8 14.717 8 1236 31 2547 60 6362 51 4957 54 5320 20 14

26.8 34.3 37.5–0.6 –6.5 –4.1

40 27 7.. 87.8 91.1

3.6 2.7 3.11.7 117.1 144.10.7 23.3 43.4

23.8 93.9 109.95 4 7

91 82 82100 102 91

14 125 13118.4 38.6 25.2–165 235 195

0.0 6.5 7.4595 6,451 847

.. 651 1,404







Population (millions) Population growth (%)Surface area (1,000 sq. km) Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) GNI per capita, Atlas ($)GNI, PPP ($ billions) GNI per capita, PPP ($)

Ukraine


2000

2010 2014

.. .. ..74 77 77

2.6 1.9 1.88 6 6.. .. ..

100 100 ..11 9 7

.. .. ..94 94 9489 87 1031.0 .. ..76 78 81

.. .. ..

3.1 3.2 3.2–0.2 –0.3

1,936.0 2,665.3 2,665.3100 100 100

97 98 9811,129 7,415 7,691

36.9 20.1 ..12,653 10,891 10,904

104 286 39910.9 1.6 4.611.5 11.0 –1.3

2 1 ..50 55 ..48 45 ..49 79 9841 72 7822 26 24

6.5 3.1 2.90.1 –0.1 0.2

19 15 8.. .. ..

5.6 6.1 5.747.2 129.4 178.123.6 68.0 90.428.9 96.0 83.0

1 3 ..

81 132 156100 164 180

.. .. ..

.. .. ..1,180 3,493 405

.. .. ..–0.5 5.5 10.1

.. .. ..








United Arab Emirates


2000

2010 2014

.. 7.1 7.578 80 811.6 1.9 1.812 10 976 84 ..99 .. ..

7 5 4.. .. ..

88 89 93.. .. ..

1.0 1.0 1.062 62 62

.. .. ..

30 31 31–0.3 –0.5

10.8 9.0 7.5100 100 10099 99 99

3,786 3,225 2,7549.2 7.8 ..

6,115 5,701 5,407

1,555 2,404 2,9893.8 1.5 2.92.3 3.1 1.7

1 1 127 21 2172 78 7826 29 2828 31 3020 16 17

36.0 35.5 35.90.6 –9.5 –5.5

13 12 5.. .. ..

2.3 2.4 2.073.7 123.6 123.626.8 85.0 91.6

123.7 209.5 168.832 21 21

41 42 40100 103 101

.. .. ..

.. .. ..968 1,524 9003.6 5.0 4.9

122 67 45.. .. ..

PeopleShare of poorest 20% in nat’l consumption/income (%)Life expectancy at birth (years)Total fertility rate (births per woman)Maternal mortality ratio (per 100,000 live births)Contraceptive prevalence (% of married women 15–49)Births attended by skilled health staff (% of total)Under-five mortality rate (per 1,000 live births)Prevalence of stunting (% of children under 5)Child immunization, measles (% of ages 12–23 mos.)Primary completion rate, total (% of relevant age group)Ratio of girls to boys in primary & secondary school Labor force participation rate (% of population ages 15+)HIV prevalence rate (% of population ages 15–49)







United Kingdom


2000

2010 2014

5.4 5.1 5.177 79 792.1 1.9 1.912 14 1473 76 ..99 99 ..

8 7 73.3 2.7 2.191 92 91

.. .. ..1.0 1.0 1.066 64 62

.. .. ..

3,035 3,087 3,101–0.2 –0.1

16.8 17.0 17.099 99 99

100 100 1008,057 7,162 6,91920.2 17.5 ..

13,671 13,394 12,985

10,285 14,964 17,4194.1 2.5 2.42.3 1.2 1.5

1 1 123 20 2176 79 7811 12 1314 16 1624 18 20

20.5 10.0 19.12.2 –6.8 –5.1

.. .. 6

.. .. ..2.9 4.7 3.5

38.5 91.3 110.243.1 71.7 87.4

191.0 227.1 253.534 20 18

20 22 23100 97 96

.. .. ..

.. .. ..5,149 5,070 5,008

4.4 5.9 6.9321 259 132

.. .. ..








United States


2000

2010 2014

4.7 4.9 5.175 76 77

2.2 2.1 2.031 19 15

.. .. ..100 100 98

17 12 1013.9 11.7 ..

89 95 9697 104 ..1.1 1.0 ..63 65 660.5 0.8 0.7

14 17 18–2.4 –1.3

4.0 .. 4.097 99 10094 96 96

931 1,211 1,3511.6 1.9 ..

2,030 2,803 2,985

22.8 40.3 57.5–1.9 7.8 3.53.5 4.9 9.6

7 8 825 28 2869 64 6417 26 2320 25 2614 19 21

24.7 29.9 29.9–3.0 –0.9 –2.0

45 64 7.. 95.6 88.9

2.5 2.0 1.612.4 131.6 160.810.5 46.4 61.550.2 31.7 35.5

2 7 8

25 38 36100 119 129

.. .. ..

.. .. ..–104 –50 –30

0 125 1220.3 2.2 2.8

17.4 46.7 88.7








Uruguay


2000

2010 2014

7.1 .. ..67 68 682.6 2.3 2.234 39 3667 65 ..96 100 ..63 46 39

25.3 19.6 ..99 98 9994 96 ..1.0 1.0 ..60 61 620.1 0.2 0.2

32 33 32–0.2 0.3

370.7 342.7 342.789 87 8791 100 100

2,064 1,513 1,4194.9 3.7 ..

1,780 1,653 1,637

13.8 39.3 62.63.8 8.5 8.1

47.3 19.6 12.634 19 1923 33 3443 48 4825 32 2322 29 2722 23 25

.. .. ..

.. .. ..

29 15 7.. 61.1 51.1

1.2 .. ..0.2 75.5 78.40.5 20.0 43.6

.. .. ..

.. .. ..

40 52 43100 166 1715.0 7.8 13.4

.. .. ..–450 –290 –195

.. .. ..75 1,636 751

186 232 324








Uzbekistan


2000

2010 2014

.. 6.7 ..68 71 724.4 3.5 3.3

144 94 7828 38 4988 74 8929 29 28

.. 25.9 28.561 53 5392 84 941.0 1.0 ..77 71 71

.. .. ..

4.4 4.4 4.40.0 0.0

.. .. ..76 88 9542 56 58

.. 159 ..0.4 0.5 ..

.. .. ..

272 701 8155.9 1.6 2.32.2 2.6 2.026 23 2813 14 961 63 6339 47 4848 53 4920 35 26

19.4 17.9 ..–0.1 –2.5 ..

47 47 35.. 42.2 45.6.. .. ..

0.2 71.9 60.42.1 8.0 18.8

35.6 63.7 72.10 14 ..

42 48 46100 86 95

96 173 1811.6 1.6 1.8

–0.5 1.1 0.634.7 11.8 28.120.3 63.1 13.3

46 108 98







Population (thousands) 259 Population growth (%) 2.2Surface area (1,000 sq. km) 12 Population living below $1.90 a day (%) 15.4GNI, Atlas ($ millions) 819.3 GNI per capita, Atlas ($) 3,160GNI, PPP ($ millions) 784.8 GNI per capita, PPP ($) 3,030

Vanuatu


2000

2010 2014

3.5 .. ..72 74 742.8 2.5 2.490 99 9570 .. ..94 .. 9622 17 15

17.4 13.4 ..84 79 8982 93 961.0 1.0 1.066 65 650.3 0.5 0.6

492 475 4670.3 0.3

1.1 2.8 2.891 93 9388 93 94

2,094 2,496 2,2716.2 6.8 ..

2,636 3,134 3,245

117 394 3813.7 –1.5 –4.0

29.5 45.9 35.54 6 5

50 52 4946 42 ..30 29 2518 18 3024 22 27

21.2 .. ..–1.2 .. ..

143 141 144.. 83.3 82.2

1.5 0.9 1.422.3 96.0 99.0

3.4 37.4 57.014.9 22.5 61.9

3 5 1

42 27 41100 216 255

.. .. ..16.9 22.0 22.2–7.6 –28.4 –69.1

17 143 1214.7 1.9 6.9

76.1 52.6 40.6








Venezuela, RB


2000

2010 2014

7.5 5.9 6.573 75 762.0 1.9 2.081 58 5474 78 7670 93 9434 25 22

43.4 23.3 19.497 98 9799 103 106

0.9 .. ..78 77 78

0.2 0.4 0.5

117 141 148–1.9 –0.9

.. 22.8 22.877 91 9853 70 78

370 678 6680.7 1.8 ..

295 1,035 1,306

33.6 115.9 186.26.8 6.4 6.0

11.6 12.1 3.723 19 1834 38 3943 43 4350 72 8653 80 8327 36 27

.. .. ..

.. .. ..

62 36 20.. 64.4 82.2

2.0 2.3 2.31.0 125.3 147.10.3 30.7 48.3

32.6 124.7 113.811 9 27

90 135 161100 130 130

12.9 44.9 71.97.5 2.3 4.2

–772 –878 –2001.3 8.3 ..1.3 8.0 9.21.7 2.9 4.2








Vietnam


2000

2010 2014

.. .. ..77 79 802.1 1.8 1.8

.. .. ..78 .. ..98 .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..64 64 62

.. .. ..

200 180 1801.2 0.6

.. .. ..100 100 100

96 96 96.. .. .... .. .... .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..32.3 .. ..13.8 31.2 50.1

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..

.. .. ..–5.3 –6.2 –3.6

.. .. ..

.. .. ..

.. .. ..







Population (thousands) 104 Population growth (%) –0.5Surface area (sq. km) 350 Population living below $1.90 a day (%) ..GNI, Atlas ($ billions) .. GNI per capita, Atlas ($) ..GNI, PPP ($ millions) .. GNI per capita, PPP ($) ..

Virgin Islands (U.S.)


2000

2010 2014

.. 7.7 ..71 72 73

5.4 4.4 4.272 54 4551 53 5797 99 10030 24 21

16.1 10.9 7.4.. .. ..

94 95 971.0 1.0 1.138 41 41

.. .. ..

90 90 90–0.1 0.0

34.4 51.5 51.591 70 5889 92 92

.. .. ..0.3 0.5 ..

.. .. ..

4.3 8.9 12.7–9.9 2.3 –1.510.4 13.4 2.7

11 7 525 24 2464 69 7221 15 1867 59 6132 22 19

.. 6.0 5.1

.. 0.5 0.3

.. 48 44

.. 42.2 80.0

.. .. ..0.2 64.9 72.11.1 37.4 53.77.0 7.2 9.8

.. .. ..

.. .. ..100 79 77

.. .. ..

.. .. ..–190 –90 –44

1.0 0.9 2.262 180 1270.7 2.5 2.5





Global linksMerchandise trade (% of GDP)Net barter terms of trade index (2000 = 100)Total external debt stocks ($ millions)Total debt service (% of exports)Net migration (thousands)Personal remittances received ($ billions)Foreign direct investment, net inflows ($ millions)Net official development assistance received ($ billions)


Population (millions) 4.3 Population growth (%) 3.0Surface area (1,000 sq. km) 6.0 Population living below $1.90 a day (%) <2GNI, Atlas ($ billions) 13.1 GNI per capita, Atlas ($) 3,060GNI, PPP ($ billions) 21.5 GNI per capita, PPP ($) 5,000

West Bank and Gaza


2000

2010 2014

.. .. ..60 63 64

6.3 4.7 4.2440 416 385

23 28 3427 36 4595 54 42

57.7 46.6 46.871 73 7558 65 69

0.5 0.8 0.847 48 49

0.1 0.1 0.1

5.5 5.5 5.50.0 0.0

161.9 169.8 169.860 55 5539 53 53

267 332 3240.8 1.1 ..140 250 247

9.6 30.9 36.06.2 3.3 4.2

23.3 13.8 7.914 .. ..46 .. ..40 .. ..41 .. ..34 .. ..19 .. ..

.. .. ..

.. .. ..

72 12 40.. 48.9 55.6

4.9 4.7 4.60.2 48.7 68.50.1 12.4 22.65.3 19.5 33.9

0 0 1

66 56 60100 149 1595.2 6.7 7.75.9 2.8 3.3

–100.0 0.0 –50.01.3 1.5 3.4

6 189 –738311 667 1,164








Yemen, Rep.


2000

2010 2014

6.1 3.8 ..43 56 606.1 5.7 5.4

541 262 22422 41 4947 47 64

163 82 6457.9 45.8 40.0

85 96 8557 98 81

.. .. ..80 80 79

14.3 13.0 12.4

511 495 4860.3 0.3

2.0 .. 2.053 61 6541 43 44

590 591 6310.2 0.2 ..

588 577 731

3.6 20.3 27.13.9 10.3 6.0

32.6 14.0 8.618 10 1026 36 3455 54 5724 37 4136 31 38

.. 30 ..17.5 13.9 ..1.6 –1.2 ..

35 18 8.. 57.8 60.0

1.6 1.4 1.61.0 41.2 67.30.2 10.0 17.3

64.0 15.1 25.90 1 2

49 62 71100 193 1725.8 4.4 7.4

21.2 1.9 3.7–93 –124 –34

36.3 43.7 58.30.1 1.7 1.5

795 917 995








Zambia


2000

2010 2014

.. .. ..42 50 574.1 4.0 3.9

590 446 44354 59 6773 66 80

106 90 7133.7 32.3 27.6

75 90 9290 .. 890.9 .. 1.075 86 87

28.4 18.0 16.7

189 156 1411.9 2.1

34.3 .. 34.379 78 7739 38 37

801 677 7581.1 0.6 ..

853 551 532

6.7 9.4 14.2–3.1 11.4 3.80.6 3.7 1.318 15 1424 31 2957 55 5738 37 2736 64 5214 24 13

.. .. ..

.. .. ..

131 86 90.. 51.1 62.2

5.2 1.0 2.62.1 58.9 80.80.4 11.5 19.9

52.2 .. ..2 1 2

57 74 51100 114 1083.8 6.6 10.6

.. .. ..–396 –308 –220

.. .. ..23 166 545

176 713 758








Zimbabwe


a. Data series will be calculated once ongoing revisions to official statistics reported by the National Statistics and Censuses Institute of Argentina have been finalized.

b. Data are officially reported statistics by the National Statistics and Censuses Institute of Argentina. On February 1, 2013, the International Monetary Fund (IMF) issued a declaration of censure, and in December 2013 called on Argentina to implement specified actions to address the quality of its official GDP data according to a specified timetable. On June 3, 2015, the IMF Executive Board recognized the material progress in remedying the inaccurate provision of data since 2013, but found that some specified actions called for by the end of February 2015 had not yet been completely implemented. The IMF Executive Board will review this issue again by July 15, 2016.

c. Estimates differ from statistics of the government of China, which has published the following estimates for military expenditure: 1.2 percent of GDP in 2000, 1.3 percent in 2010 and 1.3 percent in 2014 (see National Bureau of Statistics of China, www.stats.gov.cn).

d. Refers to area free from ice.

e. Includes Montenegro.

f. Excludes South Sudan.

g. Includes South Sudan.

Notes

http://www.stats.gov.cn


Access to improved sanitation facilities refers to the percentage of the population using improved sanitation facilities. The improved sanitation facilities are likely to ensure hygienic separation of human excreta from hu-man contact. The improved sanitation facilities include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet. Data listed for 2014 are for 2015. (WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation)

Access to improved water source refers to the percentage of the popula-tion using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connec-tion located inside the user’s dwelling, plot, or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection). Data list-ed for 2014 are for 2015. (WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation)

Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns. (United Nations Children’s Fund, and ICF International)

Carbon dioxide emissions per capita are emissions stemming from the burning of fossil fuels and the manufacture of cement divided by midyear population. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. (Carbon Dioxide Information Analysis Center)

Central government cash surplus/deficit is revenue (including grants) mi-nus expense, minus net acquisition of nonfinancial assets. Before 2005, nonfinancial assets were included under revenue and expenditure in gross terms. The concept of cash surplus or deficit is close to the earlier overall budget balance (still missing is lending minus repayments, which is brought into the balance sheet as a financing item under net acquisition of financial assets). (International Monetary Fund)

Central government revenue is cash receipts from taxes, social contribu-tions, and other revenues such as fines, fees, rent, and income from prop-erty or sales. Grants are also considered revenue but are excluded here. (International Monetary Fund)

Child immunization, measles is the percentage of children ages 12–23 months at the time of the survey who received a dose of measles vaccine by age 12 months or at any time before the interview date. A child is con-sidered adequately immunized against measles after receiving one dose of the vaccine. (World Health Organization and United Nations Children’s Fund)

Contraceptive prevalence is the percentage of women married or in-union ages 15–49 who are practicing or whose sexual partners are practicing

Glossary


any form of contraception. (United Nations Children’s Fund, United Nations Population Division, and ICF International)

Deforestation is the permanent conversion of natural forest areas to other uses, including shifting cultivation, permanent agriculture, ranching, settle-ments, and infrastructure development. Deforested areas do not include areas logged but intended for regeneration or areas degraded by fuelwood gathering, acid precipitation, or forest fires. Negative numbers indicate an increase in forest area. (Food and Agriculture Organization)

Domestic credit provided by financial sector is all credit to various sectors on a gross basis, except to the central government, which is net. The finan-cial sector includes monetary authorities, deposit money banks, and other banking institutions for which data are available. (International Monetary Fund)

Electricity use per capita is the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants plus imports less exports, divided by midyear population. (International Energy Agency)

Energy use per capita is the use of primary energy before transforma-tion to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transportation, divided by midyear popula-tion. (International Energy Agency)

Exports of goods and services are the value of all goods and other market services provided to the rest of the world, including the value of merchan-dise, freight, insurance, transport, travel, royalties, license fees, and other services. Compensation of employees, investment income (formerly called factor services), and transfer payments are excluded. (World Bank, Organ-isation for Economic Co-operation and Development, and United Nations)

Foreign direct investment, net inflows are investments to acquire a lasting management interest in an enterprise operating in an economy other than that of the investor. They are the sum of inflows of equity capital, reinvest-ment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. Net inflows refer to new investments made during the reporting period netted against disinvestments. (World Bank and International Monetary Fund)

Forests are land under natural or planted stands of trees, whether pro-ductive or not. Data listed for 2014 are for 2015. (Food and Agriculture Organization)

Freshwater use is total freshwater withdrawals for domestic, industrial, and agricultural use, not counting evaporation losses from storage basins. Internal resources refer to internal renewable resources only (flows of riv-ers and groundwater from rainfall in the country). Withdrawals can exceed 100 percent of internal renewable resources because river flows from other

Glossary


countries are not included, because extraction from nonrenewable aquifers or desalination plants is considerable, or because there is significant water reuse. (Food and Agriculture Organization and World Resources Institute)

GDP is gross domestic product at purchaser prices. It 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 deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. (World Bank, Organisation for Economic Co-operation and Development, and United Nations)

GDP growth is the one-year rate of growth in real gross domestic product. (World Bank and Organisation for Economic Co-operation and Development)

GDP implicit price deflator is the one-year rate of price change in the econ-omy as a whole. (World Bank, Organisation for Economic Co-operation and Development, and United Nations)

GNI is gross national income. It is calculated as gross domestic product (GDP) plus net receipts of primary income (employee compensation and investment income) from abroad. GDP is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output. (World Bank)

GNI per capita is gross national income (GNI) converted to U.S. dollars us-ing the World Bank Atlas method divided by midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of prima-ry 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. The World Bank Atlas method is used to smooth fluctuations in prices and exchange rates. 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)

GNI, PPP is gross national income (GNI) converted to international dollars using purchasing power parities (PPP). An international dollar has the same purchasing power over GNI that a U.S. dollar has in the United States. For most economies PPP figures are extrapolated from the 2011 International Comparison Program (ICP) benchmark estimates or imputed using a statis-tical model based on the 2011 ICP. For 47 high- and upper middle-income economies conversion factors are provided by Eurostat and the Organisa-tion for Economic Co-operation and Development (OECD). (World Bank)

GNI per capita, PPP is gross national income (GNI) converted to interna-tional dollars using purchasing power parities (PPP), divided by midyear population. An international dollar has the same purchasing power over GNI that a U.S. dollar has in the United States. (World Bank)

Glossary


Gross capital formation is outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include 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. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales and work in progress. According to the 1993 System of National Ac-counts, net acquisitions of valuables are also considered capital formation. (World Bank, Organisation for Economic Co-operation and Development, and United Nations)

High-technology exports are products with high research and development intensity, as in aerospace, computers, pharmaceuticals, scientific instru-ments, and electrical machinery. (United Nations Statistics Division’s Com-modity Trade database)

HIV prevalence rate is the percentage of people ages 15–49 who are in-fected with HIV. (Joint United Nations Programme on HIV/AIDS)

Imports of goods and services are the value of all goods and other market services received from the rest of the world, including the value of mer-chandise, freight, insurance, transport, travel, royalties, license fees, and other services. Labor and property income (formerly called factor services) and transfer payments are excluded. (World Bank, Organisation for Eco-nomic Co-operation and Development, and United Nations)

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

Labor force participation rate is the proportion of the population ages 15 and older that engages actively in the labor market, by either working or looking for work during a reference period. Data in the tables are modeled estimates. (International Labour Organization Key Indicators of the Labour Market database)

Life expectancy at birth is the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. (United Nations Population Division, national sta-tistical offices, Eurostat, United Nations Statistical Division, United States Census Bureau, and World Bank)

Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data in the table are estimated with a re-gression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15–49, fertility, birth attendants, and GDP. Data listed for 2014 are for 2015. (World Health Organization, United Nations Children’s Fund, United Nations Population Fund, World Bank Group, and United Nations Population Division)

Glossary


Merchandise trade is the sum of merchandise exports and imports mea-sured in current U.S. dollars as a percentage of GDP. (World Trade Organiza-tion and World Bank)

Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans’ benefits, demobilization, conver-sion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed in-formation than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian po-lice, military grants in kind, pensions for military personnel, and social se-curity contributions paid by one part of government to another.) (Stockholm International Peace Research Institute)

Mobile cellular subscriptions are subscriptions to a public mobile tele-phone service using cellular technology, which provide access to the public switched telephone network. Postpaid and prepaid subscriptions are in-cluded. (International Telecommunication Union)

Net barter terms of trade index is the ratio of the export unit value index to the corresponding import unit value index measured relative to the base year 2000. (United Nations Conference on Trade and Development and International Monetary Fund)

Net migration is the total number of immigrants less the total number of emigrants, including both citizens and noncitizens, during the period. Data are five-year estimates. (United Nations Population Division)

Net official development assistance received is official development assis-tance flows (net of repayment of principal) as defined by the Development As-sistance Committee (DAC) that are made to countries and territories on the DAC list of aid recipients. (Organisation for Economic Co-operation and Development)

Overall level of statistical capacity is a composite score assessing the capacity of a country’s statistical system. It is based on a diagnostic frame-work assessing the following areas: methodology, data sources, and period-icity and timeliness. Countries are scored against 25 criteria in these areas, using publicly available information and/or country input. The overall statis-tical capacity score is then calculated as simple average of all three area scores on a scale of 0–100. Data listed for 2014 are for 2015. (World Bank)

Glossary


Personal remittances received refers to personal transfers and compensa-tion of employees. They comprise current transfers in cash or kind received by resident households from nonresident households and wages and sala-ries earned by nonresident workers or resident workers employed by non-resident entities. (International Monetary Fund and World Bank)

Population is the midyear estimate of all residents regardless of legal sta-tus citizenship, except for refugees not permanently settled in the coun-try of asylum who are generally considered part of the population of their country of origin. (United Nations Population Division, national statistical offices, Eurostat, United Nations Statistical Division, United States Census Bureau, and World Bank)

Population living below $1.90 a day is the percentages of the population living on less than $1.90 a day at 2011 international prices. As a result of revisions in purchasing power parities (PPP) exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions. Note that estimates for five countries—Bangladesh, Cabo Verde, Cambodia, Jordan, and Lao PDR—are based on the poverty line of $1.25 a day in 2005 PPP. (World Bank, Development Research Group)

Population growth is the exponential growth rate from the previous mid-year population. (World Bank)

Prevalence of stunting is the percentage of children under age five whose height for age is more than two standard deviations below the median for the international reference population ages 0–59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO’s new child growth standards released in 2006. (World Health Organization)

Primary completion rate, total, or gross intake ratio to the last grade of pri-mary education, is the number of new entrants (enrollments minus repeat-ers) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. (United Nations Educational, Scientific and Cultural Organization Institute for Statistics)

Ratio of girls to boys in primary and secondary school is the ratio of the female to male gross enrollment rate in primary and secondary school. (United Nations Educational, Scientific and Cultural Organization Institute for Statistics)

Share of poorest 20% in national consumption or income is the share of total national income or consumption that accrues to the poorest quintile. Data may not be strictly comparable across years within a country due to differences in the types of welfare measures. (World Bank)

Starting a business is the number of calendar days needed to complete the procedures to legally operate 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)

Glossary


GlossarySurface area is a country’s total area, including areas under inland bodies of water and some coastal waterways. (Food and Agriculture Organization)

Total debt service is the sum of principal repayments and interest actually paid on long-term debt (public and publicly guaranteed and private nonguar-anteed); interest paid on short-term debt; and repayments (repurchases and charges) to the International Monetary Fund, expressed as a percent-age of exports of goods and services and primary income. Exports of goods and services and primary income are the total value of exports of goods and services, receipts of compensation of nonresident workers, and invest-ment income from abroad. (World Bank and International Monetary Fund)

Total external debt stocks are debt owed to nonresident creditors and repayable in foreign currencies, goods, or services by public and private entities in the country. They are the sum of long-term external debt, short-term debt, and use of International Monetary Fund credit. Debt repayable in domestic currency is excluded. (World Bank)

Total fertility rate is the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year. (United Na-tions Population Division, national statistical offices, Eurostat, United Na-tions Statistical Division, United States Census Bureau, and World Bank)

Under-five mortality rate is the probability per 1,000 that a newborn baby will die before age five if subject to age-specific mortality rates of the speci-fied year. Data listed for 2014 are for 2015. (United Nations Inter-agency Group for Child Mortality Estimation)

Value added in agriculture is the net output of agriculture (International Standard Industrial Classification divisions 1–5 including forestry and fish-ing) after totaling outputs and subtracting intermediate outputs. (World Bank, Organisation for Economic Co-operation and Development, and United Nations)

Value added in industry is the net output of industry (International Stan-dard Industrial Classification divisions 10–45, which includes mining, man-ufacturing, construction, electricity, water, and gas) after totaling outputs and subtracting intermediate inputs. (World Bank, Organisation for Eco-nomic Co-operation and Development, and United Nations)

Value added in services is the net output of services (International Stan-dard Industrial Classification divisions 50–99) after totaling outputs and subtracting intermediate inputs. This sector is derived as a residual and may not properly reflect the sum of services outputs, including banking and financial services. (World Bank, Organisation for Economic Co-operation and Development, and United Nations)

Little Data Book

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