2005 World Development Indicators48 Afghanistan 17.7 .. .. .. .. .. .. .. .. .. .. .. Albania 3.3 3.2 3.5 ­0.3 0.8 27.3 65.4 7.3 0.4 0.1 6 17 Algeria 25.0 31.8 38.3 1.9 1.5 33.9 62.0 4.1 0.5 0.1 5 22 Angola 9.3 13.5 18.9 2.8 2.8 47.6 49.4 2.9 1.0 0.1 19 50 Argentina 32.3 36.8 42.9 1.0 1.3 27.0 63.2 9.8 0.4 0.2 8 18 Armenia 3.5 3.1 3.0 ­1.1 ­0.1 20.5 69.3 10.2 0.3 0.1 8 9 Australia 17.1 19.9 21.9 1.2 0.8 20.0 67.5 12.5 0.3 0.2 7 13 Austria 7.7 8.1 8.1 0.4 ­0.0 16.2 67.8 16.0 0.2 0.2 10 10 Azerbaijan 7.2 8.2 9.0 1.1 0.7 27.0 65.5 7.5 0.4 0.1 7 16 Bangladesh 110.0 138.1 166.0 1.7 1.5 35.5 61.2 3.4 0.6 0.1 8 28 Belarus 10.2 9.9 9.3 ­0.2 ­0.5 16.8 69.1 14.0 0.2 0.2 14 9 Belgium 10.0 10.4 10.5 0.3 0.1 17.0 66.3 16.8 0.3 0.3 10 11 Benin 4.7 6.7 9.0 2.7 2.4 45.0 52.4 2.7 0.9 0.1 13 38 Bolivia 6.7 8.8 10.8 2.1 1.7 38.4 57.3 4.4 0.7 0.1 8 29 Bosnia and Herzegovina 4.5 4.1 4.2 ­0.6 0.2 17.2 71.9 10.9 0.2 0.2 8 12 Botswana 1.3 1.7 1.8 2.3 0.4 41.5 56.2 2.3 0.7 0.0 23 29 Brazil 148.0 176.6 201.0 1.4 1.1 27.5 67.1 5.4 0.4 0.1 7 19 Bulgaria 8.7 7.8 7.2 ­0.8 ­0.7 14.4 69.2 16.4 0.2 0.2 14 8 Burkina Faso 8.9 12.1 15.6 2.4 2.1 46.9 50.4 2.7 0.9 0.1 19 43 Burundi 5.5 7.2 8.8 2.1 1.7 45.3 52.1 2.5 0.9 0.1 20 38 Cambodia 9.6 13.4 16.4 2.6 1.7 41.0 55.8 3.2 0.7 0.1 12 29 Cameroon 11.7 16.1 19.7 2.5 1.7 41.1 55.2 3.7 0.7 0.1 16 35 Canada 27.8 31.6 33.5 1.0 0.5 18.2 69.0 12.8 0.3 0.2 7 11 Central African Republic 2.9 3.9 4.6 2.1 1.5 41.8 54.7 3.5 0.8 0.1 20 35 Chad 5.8 8.6 12.1 3.0 2.8 48.0 49.2 2.8 1.0 0.1 16 45 Chile 13.1 15.8 17.8 1.4 1.0 26.9 65.7 7.4 0.4 0.1 5 17 China 1,135.2 1,288.4 1,389.5 1.0 0.6 23.6 69.1 7.3 0.3 0.1 8 15 Hong Kong, China 5.7 6.8 7.0 1.4 0.2 15.8 72.6 11.6 0.2 0.2 5 7 Colombia 35.0 44.6 51.8 1.9 1.2 31.8 63.5 4.8 0.5 0.1 6 22 Congo, Dem. Rep. 37.4 53.2 75.2 2.7 2.9 47.9 49.5 2.6 1.0 0.1 18 45 Congo, Rep. 2.5 3.8 5.2 3.2 2.8 46.9 50.1 3.1 0.9 0.1 14 44 Costa Rica 3.1 4.0 4.7 2.1 1.4 29.8 64.4 5.8 0.5 0.1 4 17 Côte d'Ivoire 11.8 16.8 20.2 2.7 1.5 41.5 55.9 2.6 0.7 0.1 17 37 Croatia 4.8 4.4 4.3 ­0.6 ­0.3 16.2 68.1 15.8 0.2 0.2 12 10 Cuba 10.6 11.3 11.7 0.5 0.3 20.3 69.2 10.4 0.3 0.2 8 13 Czech Republic 10.4 10.2 9.9 ­0.1 ­0.3 15.5 70.6 13.9 0.2 0.2 11 9 Denmark 5.1 5.4 5.4 0.4 0.1 18.6 66.5 14.9 0.3 0.2 11 12 Dominican Republic 7.1 8.7 10.1 1.6 1.2 32.0 63.5 4.5 0.5 0.1 7 22 Ecuador 10.3 13.0 15.3 1.8 1.4 32.7 62.4 4.9 0.5 0.1 6 23 Egypt, Arab Rep. 52.4 67.6 80.9 1.9 1.5 33.5 62.2 4.3 0.5 0.1 6 24 El Salvador 5.1 6.5 7.9 1.9 1.5 34.7 60.3 5.0 0.6 0.1 6 25 Eritrea 3.1 4.4 5.6 2.6 2.0 44.3 53.0 2.7 0.8 0.1 13 37 Estonia 1.6 1.4 1.3 ­1.1 ­0.5 16.1 68.6 15.2 0.2 0.2 13 10 Ethiopia 51.2 68.6 87.3 2.3 2.0 45.4 51.8 2.8 0.9 0.1 20 40 Finland 5.0 5.2 5.3 0.3 0.1 17.6 67.0 15.3 0.3 0.2 9 11 France 56.7 59.8 61.8 0.4 0.3 18.6 65.3 16.1 0.3 0.2 9 13 Gabon 1.0 1.3 1.7 2.6 2.2 40.4 54.0 5.5 0.7 0.1 15 35 Gambia, The 0.9 1.4 1.8 3.3 1.9 40.5 56.2 3.2 0.7 0.1 14 36 Georgia 5.5 5.1 4.7 ­0.5 ­0.7 18.4 67.3 14.3 0.3 0.2 10 8 Germany 79.4 82.5 80.6 0.3 ­0.2 14.9 67.8 17.3 0.2 0.3 10 9 Ghana 15.3 20.7 25.8 2.3 1.9 41.9 53.7 4.4 0.8 0.1 13 31 Greece 10.2 11.0 11.0 0.6 ­0.0 14.7 66.7 18.7 0.2 0.3 9 9 Guatemala 8.8 12.3 16.3 2.6 2.3 42.5 54.1 3.5 0.8 0.1 7 33 Guinea 5.8 7.9 9.8 2.4 1.8 43.6 53.8 2.5 0.8 0.1 17 38 Guinea-Bissau 1.0 1.5 2.0 2.9 2.6 44.4 52.1 3.4 0.9 0.1 20 49 Haiti 6.5 8.4 10.3 2.0 1.6 39.0 57.5 3.5 0.7 0.1 14 32 Total population Average annual population growth rate Population age composition Dependency ratio Crude death rate Crude birth rate millions % % dependents as proportion of working- age population per 1,000 people per 1,000 people Ages 0­14 Ages 15­64 Ages 65+ Young Old 1990 2003 2015 1990­2003 2003­15 2003 2003 2003 2003 2003 2003 2003 2.1 Population dynamics 2005 World Development Indicators 49 Population dynamics PEOPLE 2.1 Honduras 4.9 7.0 8.9 2.8 2.0 40.8 55.9 3.3 0.7 0.1 6 30 Hungary 10.4 10.1 9.6 ­0.2 ­0.5 16.3 69.0 14.7 0.2 0.2 13 10 India 849.5 1,064.4 1,231.6 1.7 1.2 32.4 62.5 5.1 0.5 0.1 8 24 Indonesia 178.2 214.7 246.8 1.4 1.2 29.7 65.4 4.9 0.5 0.1 7 21 Iran, Islamic Rep. 54.4 66.4 77.5 1.5 1.3 29.5 65.8 4.7 0.4 0.1 6 18 Iraq 18.1 24.7 31.1 2.4 1.9 39.4 57.6 3.1 0.7 0.1 8 29 Ireland 3.5 4.0 4.4 1.0 0.8 21.3 67.5 11.2 0.3 0.2 7 16 Israel 4.7 6.7 7.9 2.8 1.4 27.4 63.0 9.7 0.4 0.2 6 20 Italy 56.7 57.6 55.1 0.1 ­0.4 14.0 67.0 19.0 0.2 0.3 10 9 Jamaica 2.4 2.6 3.0 0.8 1.0 29.7 63.5 6.9 0.5 0.1 6 19 Japan 123.5 127.6 124.8 0.2 ­0.2 14.2 67.2 18.6 0.2 0.3 8 9 Jordan 3.2 5.3 6.8 4.0 2.1 37.4 59.4 3.2 0.6 0.1 4 28 Kazakhstan 16.3 14.9 15.5 ­0.7 0.3 24.5 67.4 8.1 0.4 0.1 10 15 Kenya 23.4 31.9 37.5 2.4 1.3 42.1 55.2 2.7 0.8 0.1 17 34 Korea, Dem. Rep. 20.0 22.6 24.0 1.0 0.5 25.7 67.7 6.6 0.4 0.1 11 17 Korea, Rep. 42.9 47.9 50.0 0.9 0.4 20.7 71.7 7.6 0.3 0.1 7 12 Kuwait 2.1 2.4 3.0 0.9 1.9 24.8 73.3 1.9 0.3 0.0 3 20 Kyrgyz Republic 4.4 5.1 5.8 1.0 1.1 31.7 62.2 6.1 0.5 0.1 8 19 Lao PDR 4.1 5.7 7.3 2.4 2.1 41.8 54.7 3.5 0.8 0.1 12 35 Latvia 2.7 2.3 2.1 ­1.1 ­0.7 15.1 69.3 15.5 0.2 0.2 14 9 Lebanon 3.6 4.5 5.2 1.6 1.2 30.3 63.8 5.9 0.5 0.1 6 19 Lesotho 1.6 1.8 2.0 1.0 0.9 41.4 53.4 5.1 0.8 0.1 24 33 Liberia 2.4 3.4 4.4 2.5 2.2 44.1 53.1 2.8 0.8 0.1 20 43 Libya 4.3 5.6 6.9 2.0 1.7 32.5 63.8 3.7 0.5 0.1 4 27 Lithuania 3.7 3.5 3.3 ­0.5 ­0.4 17.7 68.2 14.2 0.3 0.2 12 9 Macedonia, FYR 1.9 2.1 2.2 0.6 0.5 21.5 67.8 10.7 0.3 0.2 9 14 Madagascar 11.6 16.9 22.5 2.9 2.4 44.1 52.9 3.0 0.8 0.1 12 38 Malawi 8.5 11.0 13.6 2.0 1.8 44.9 51.8 3.4 0.9 0.1 25 44 Malaysia 18.2 24.8 29.6 2.4 1.5 33.0 62.6 4.4 0.5 0.1 5 21 Mali 8.5 11.7 15.6 2.5 2.4 47.2 50.1 2.8 0.9 0.1 23 48 Mauritania 2.0 2.8 3.6 2.6 1.9 42.6 54.3 3.1 0.8 0.1 15 34 Mauritius 1.1 1.2 1.4 1.1 0.9 25.0 68.6 6.4 0.4 0.1 7 16 Mexico 83.2 102.3 120.6 1.6 1.4 32.3 62.5 5.2 0.5 0.1 5 19 Moldova 4.4 4.2 4.1 ­0.2 ­0.2 20.4 68.6 11.1 0.3 0.2 13 11 Mongolia 2.1 2.5 2.9 1.3 1.3 31.7 64.2 4.1 0.5 0.1 6 22 Morocco 24.0 30.1 35.4 1.7 1.4 32.9 62.7 4.4 0.5 0.1 6 22 Mozambique 14.2 18.8 22.7 2.2 1.6 42.3 54.1 3.6 0.8 0.1 21 40 Myanmar 40.5 49.4 55.7 1.5 1.0 31.9 63.6 4.5 0.5 0.1 12 23 Namibia 1.4 2.0 2.3 2.8 1.1 41.9 54.3 3.8 0.8 0.1 21 35 Nepal 18.1 24.7 31.1 2.4 1.9 40.1 56.1 3.8 0.7 0.1 10 31 Netherlands 15.0 16.2 16.6 0.6 0.2 18.3 67.7 14.0 0.3 0.2 9 12 New Zealand 3.4 4.0 4.5 1.2 0.9 21.9 66.4 11.7 0.3 0.2 7 14 Nicaragua 3.8 5.5 7.0 2.8 2.0 40.9 56.0 3.1 0.7 0.1 5 29 Niger 7.7 11.8 16.3 3.3 2.7 48.9 48.8 2.3 1.0 0.1 20 48 Nigeria 96.2 136.5 173.8 2.7 2.0 44.1 53.3 2.6 0.8 0.1 18 43 Norway 4.2 4.6 4.7 0.6 0.3 19.7 65.4 14.9 0.3 0.2 9 12 Oman 1.6 2.6 3.4 3.6 2.2 41.3 55.9 2.8 0.7 0.1 3 26 Pakistan 108.0 148.4 192.8 2.4 2.2 40.1 56.6 3.4 0.7 0.1 8 32 Panama 2.4 3.0 3.5 1.7 1.2 30.0 64.2 5.8 0.5 0.1 5 20 Papua New Guinea 4.0 5.5 6.9 2.5 1.8 40.9 56.6 2.5 0.7 0.1 10 33 Paraguay 4.2 5.6 7.2 2.4 2.0 38.4 58.1 3.5 0.7 0.1 5 30 Peru 21.6 27.1 31.6 1.8 1.3 33.0 62.2 4.9 0.5 0.1 6 22 Philippines 61.0 81.5 98.2 2.2 1.6 36.0 60.0 4.0 0.6 0.1 6 26 Poland 38.1 38.2 37.9 0.0 ­0.1 17.6 69.9 12.5 0.3 0.2 9 9 Portugal 9.9 10.4 10.5 0.4 0.0 17.3 67.6 15.2 0.3 0.2 10 11 Puerto Rico 3.5 3.9 4.2 0.7 0.7 23.4 66.3 10.3 0.4 0.2 8 15 Total population Average annual population growth rate Population age composition Dependency ratio Crude death rate Crude birth rate millions % % dependents as proportion of working- age population per 1,000 people per 1,000 people Ages 0­14 Ages 15­64 Ages 65+ Young Old 1990 2003 2015 1990­2003 2003­15 2003 2003 2003 2003 2003 2003 2003 2005 World Development Indicators50 Population dynamics2.1 Total population Average annual population growth rate Population age composition Dependency ratio Crude death rate Crude birth rate millions % % dependents as proportion of working- age population per 1,000 people per 1,000 people Ages 0­14 Ages 15­64 Ages 65+ Young Old 1990 2003 2015 1990­2003 2003­15 2003 2003 2003 2003 2003 2003 2003 Romania 23.2 21.7 21.1 ­0.5 ­0.3 16.7 69.5 13.9 0.2 0.2 12 10 Russian Federation 148.3 143.4 134.5 ­0.3 ­0.5 16.3 70.4 13.2 0.2 0.2 15 10 Rwanda 6.9 8.4 10.1 1.5 1.5 45.7 51.3 3.0 0.9 0.1 22 43 Saudi Arabia 15.8 22.5 30.8 2.7 2.6 40.2 56.9 2.9 0.7 0.1 4 31 Senegal 7.3 10.2 13.0 2.6 2.0 43.6 53.7 2.7 0.8 0.1 13 35 Serbia and Montenegro 10.5a 8.1 10.7 0.1b 2.3 19.6 66.4 14.0 0.3 0.2 14 11 Sierra Leone 4.0 5.3 6.7 2.2 1.9 43.6 53.8 2.6 0.8 0.1 25 44 Singapore 3.1 4.3 4.8 2.6 1.1 20.7 71.7 7.6 0.3 0.1 5 11 Slovak Republic 5.3 5.4 5.3 0.2 ­0.1 18.2 70.4 11.4 0.3 0.2 10 10 Slovenia 2.0 2.0 2.0 ­0.0 ­0.1 15.0 70.4 14.6 0.2 0.2 10 9 Somalia 7.2 9.6 14.0 2.3 3.1 47.8 49.8 2.4 1.0 0.1 18 50 South Africa 35.2 45.8 47.2 2.0 0.3 32.0 63.6 4.4 0.5 0.1 20 25 Spain 38.8 41.1 41.5 0.4 0.1 15.0 68.0 17.1 0.2 0.3 9 10 Sri Lanka 16.3 19.2 21.5 1.3 0.9 25.1 68.2 6.7 0.4 0.1 6 19 Sudan 24.9 33.5 42.6 2.3 2.0 39.5 56.9 3.6 0.7 0.1 10 33 Swaziland 0.8 1.1 1.3 2.8 1.1 42.1 55.1 2.8 0.8 0.1 19 35 Sweden 8.6 9.0 9.0 0.3 0.1 17.5 65.0 17.5 0.3 0.3 10 11 Switzerland 6.7 7.4 7.6 0.7 0.2 16.6 67.8 15.6 0.2 0.2 9 10 Syrian Arab Republic 12.1 17.4 22.0 2.8 1.9 38.2 58.7 3.1 0.7 0.1 4 29 Tajikistan 5.3 6.3 7.2 1.3 1.1 36.5 58.8 4.6 0.6 0.1 7 23 Tanzania 25.5 35.9 43.9 2.6 1.7 44.7 52.9 2.4 0.8 0.1 18 38 Thailand 55.6 62.0 66.3 0.8 0.6 22.9 70.5 6.6 0.3 0.1 8 15 Togo 3.5 4.9 6.2 2.6 2.0 43.2 53.6 3.2 0.8 0.1 15 35 Trinidad and Tobago 1.2 1.3 1.4 0.6 0.8 23.7 69.8 6.5 0.3 0.1 7 16 Tunisia 8.2 9.9 11.5 1.5 1.3 27.5 66.5 6.1 0.4 0.1 6 17 Turkey 56.2 70.7 81.2 1.8 1.2 28.3 65.8 5.9 0.4 0.1 7 21 Turkmenistan 3.7 4.9 5.7 2.2 1.3 33.8 61.7 4.5 0.5 0.1 8 22 Uganda 17.4 25.3 35.9 2.9 2.9 49.8 48.4 1.8 1.0 0.0 18 44 Ukraine 51.9 48.4 44.7 ­0.5 ­0.7 16.0 68.9 15.1 0.2 0.2 15 9 United Arab Emirates 1.8 4.0 3.7 6.3 ­0.7 24.8 72.1 3.1 0.3 0.0 4 17 United Kingdom 57.6 59.3 60.0 0.2 0.1 18.2 65.7 16.1 0.3 0.2 10 12 United States 249.6 290.8 318.0 1.2 0.7 21.0 66.6 12.4 0.3 0.2 9 14 Uruguay 3.1 3.4 3.6 0.7 0.6 24.4 63.0 12.6 0.4 0.2 9 16 Uzbekistan 20.5 25.6 30.1 1.7 1.3 33.3 61.9 4.9 0.5 0.1 6 20 Venezuela, RB 19.8 25.7 30.4 2.0 1.4 32.2 63.1 4.7 0.5 0.1 5 23 Vietnam 66.2 81.3 92.4 1.6 1.1 30.6 64.1 5.3 0.5 0.1 6 18 West Bank and Gaza 2.0 3.4 4.9 4.1 3.1 45.1 51.8 3.1 0.9 0.1 4 34 Yemen, Rep. 11.9 19.2 27.3 3.7 2.9 45.2 52.1 2.6 0.9 0.1 10 41 Zambia 7.8 10.4 12.9 2.2 1.8 46.8 50.5 2.7 0.9 0.1 23 38 Zimbabwe 10.2 13.1 14.1 1.9 0.6 43.4 53.5 3.1 0.8 0.1 22 29 World 5,253.4 s 6,272.5 s 7,100.9 s 1.4 w 1.0 w 28.9 w 64.0 w 7.1 w 0.5 w 0.1 w 9 w 21 w Low income 1,777.6 2,311.9 2,794.9 2.0 1.6 36.9 59.0 4.2 0.6 0.1 11 30 Middle income 2,588.7 2,988.6 3,299.0 1.1 0.8 26.2 66.8 7.0 0.4 0.1 8 17 Lower middle income 2,305.8 2,655.5 2,918.3 1.1 0.8 25.9 67.2 6.9 0.4 0.1 8 17 Upper middle income 282.9 333.1 380.6 1.3 1.1 28.5 64.1 7.4 0.4 0.1 7 18 Low & middle income 4,366.2 5,300.5 6,093.9 1.5 1.2 30.8 63.4 5.8 0.5 0.1 9 23 East Asia & Pacific 1,597.1 1,854.6 2,039.7 1.2 0.8 25.8 67.6 6.6 0.4 0.1 8 17 Europe & Central Asia 466.2 472.2 477.3 0.1 0.1 20.4 68.2 11.4 0.3 0.2 12 13 Latin America & Carib. 434.9 532.7 620.2 1.6 1.3 30.5 63.9 5.6 0.5 0.1 6 21 Middle East & N. Africa 237.1 311.6 382.7 2.1 1.7 34.6 61.4 4.0 0.6 0.1 5 22 South Asia 1,120.4 1,424.7 1,683.3 1.8 1.4 33.8 61.5 4.7 0.5 0.1 9 26 Sub-Saharan Africa 510.4 704.5 890.8 2.5 2.0 43.7 53.3 3.0 0.8 0.1 18 39 High income 887.2 972.1 1,007.0 0.7 0.3 18.2 67.3 14.5 0.3 0.2 9 12 Europe EMU 293.3 306.9 305.9 0.3 ­0.0 15.8 67.4 16.8 0.2 0.3 10 10 a. Includes population of Kosovo until 2001. b. Data are for 1990 to 2001. 2005 World Development Indicators 51 Population dynamics PEOPLE 2.1 About the data Definitions Population estimates are usually based on national population censuses, but the frequency and quality of these vary by country. Most countries conduct a complete enumeration no more than once a decade. Pre- and post-census estimates are interpolations or extrapolations based on demographic models. Errors and undercounting occur even in high-income countries; in developing countries such errors may be substantial because of limits in the transport, communications, and other resources required to conduct a full census. The quality and reliability of official demographic data are also affected by the public trust in the gov- ernment, the government's commitment to full and accurate enumeration, the confidentiality and protec- tion against misuse accorded to census data, and the independence of census agencies from undue political influence. Moreover, the international com- parability of population indicators is limited by dif- ferences in the concepts, definitions, data collec- tion procedures, and estimation methods used by national statistical agencies and other organizations that collect population data. Of the 152 economies listed in the table, 118 (about 78 percent) conducted a census between 1995 and 2004. The currentness of a census, along with the availability of complementary data from sur- veys or registration systems, is one of many objective ways to judge the quality of demographic data. In some European countries registration systems offer complete information on population in the absence of a census. See Primary data documentation for the most recent census or survey year and for the completeness of registration. Current population estimates for developing coun- tries that lack recent census-based data, and pre- and post-census estimates for countries with census data, are provided by national statistical offices, the United Nations Population Division, and other agencies. The standard estimation method requires fertility, mortal- ity, and net migration data, which are often collected from sample surveys, some of which may be small or limited in coverage. The population estimates are the product of demographic modeling and so are suscep- tible to biases and errors because of shortcomings in the model as well as in the data. Population projec- tions are made using the cohort component method. The growth rate of the total population conceals the fact that different age groups may grow at very different rates. In many developing countries the population under 15 was earlier growing rapidly but is now starting to shrink. Previously high fertility rates and declining mortality rates are now reflected in the larger share of the working-age population. Dependency ratios take into account the variations in the proportions of children, elderly people, and working-age people in the population. Separate cal- culations of young-age and old-age dependency sug- gest the burden of dependency that the working-age population must bear in relation to children and the elderly. But dependency ratios show the age com- position of a population, not economic dependency. Some children and elderly people are part of the labor force, and many working-age people are not. The vital rates shown in the table are based on data derived from birth and death registration sys- tems, censuses, and sample surveys conducted by national statistical offices, United Nations agencies, and other organizations. The estimates for 2003 for many countries are based on extrapolations of levels and trends measured in earlier years. Vital registers are the preferred source of these data, but in many developing countries systems for registering births and deaths do not exist or are incomplete because of deficiencies in the coverage of events or of geographic areas. Many developing countries carry out special household surveys that estimate vital rates by asking respondents about births and deaths in the recent past. Estimates derived in this way are subject to sampling errors as well as errors due to inaccurate recall by the respondents. The United Nations Statistics Division monitors the completeness of vital registration systems. The share of countries with at least 90 percent complete vital registration increased from 45 percent in 1988 to 55 percent in 2002. Still, some of the most popu- lous developing countries--China, India, Indonesia, Brazil, Pakistan, Bangladesh, Nigeria--do not have complete vital registration systems. Fewer than 30 percent of births and 40 percent of deaths worldwide are thought to be registered and reported. International migration is the only other factor besides birth and death rates that directly deter- mines a country's population growth. From 1990 to 2000 the number of migrants in high-income countries increased by 23 million. About 175 mil- lion people currently live outside their home country, accounting for about 3 percent of the world's popula- tion. Estimating international migration is difficult. At any time many people are located outside their home country as tourists, workers, or refugees or for other reasons. Standards relating to the dura- tion and purpose of international moves that qualify as migration vary, and accurate estimates require information on flows into and out of countries that is difficult to collect. ˇ Total population of an economy includes all resi- dents regardless of legal status or citizenship-- except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. The values shown are midyear estimates for 1990 and 2003 and projections for 2015. ˇ Average annual popula- tion growth rate is the exponential change for the period indicated. See Statistical methods for more information. ˇ Population age composition refers to the percentage of the total population that is in spe- cific age groups. ˇ Dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15­64. ˇ Crude death rate and crude birth rate are the number of deaths and the number of live births occurring during the year, per 1,000 population esti- mated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the population growth rate in the absence of migration. The World Bank's population estimates are pro- duced by its Human Development Network and Development Data Group in consultation with its operational staff and country offices. Important inputs to the World Bank's demographic work come from the following sources: census reports and other statistical publications from national statistical offices; Demographic and Health Surveys conducted by national agencies, Macro International, and the U.S. Centers for Disease Control and Prevention; United Nations Statistics Division, Population and Vital Statistics Report (quarterly); United Nations Population Division, World Population Prospects: The 2002 Revision; Eurostat, Demographic Statistics (various years); Centro Latinoamericano de Demografía, Boletín Demográfico (various years); and U.S. Bureau of the Census, International Database. Data sources