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2007/2008 Human Development Report
28Gender-related development index
Estimated earned income, male (PPP US$) 
Export results to Excel
Export results to Excel| HDI Rank | Country | 2005 | 1 |
|---|---|---|---|
| 1 | Iceland | 40,000 | 2 |
| 2 | Norway | 40,000 | 2 |
| 3 | Australia | 37,414 | |
| 4 | Canada | 40,000 | 2 3 |
| 5 | Ireland | 40,000 | 2 |
| 6 | Sweden | 36,059 | |
| 7 | Switzerland | 40,000 | 2 |
| 8 | Japan | 40,000 | 2 |
| 9 | Netherlands | 39,845 | |
| 10 | France | 37,169 | |
| 11 | Finland | 37,739 | |
| 12 | United States | 40,000 | 2 3 |
| 13 | Spain | 36,324 | 3 |
| 14 | Denmark | 39,288 | |
| 15 | Austria | 40,000 | 2 |
| 16 | United Kingdom | 40,000 | 2 |
| 17 | Belgium | 40,000 | 2 |
| 18 | Luxembourg | 40,000 | 2 |
| 19 | New Zealand | 29,479 | |
| 20 | Italy | 39,163 | 3 |
| 21 | Hong Kong, China (SAR) | 40,000 | 2 |
| 22 | Germany | 37,461 | |
| 23 | Israel | 31,345 | 3 |
| 24 | Greece | 30,184 | |
| 25 | Singapore | 39,150 | |
| 26 | Korea (Republic of) | 31,476 | |
| 27 | Slovenia | 27,779 | 3 |
| 28 | Cyprus | 27,808 | 4 |
| 29 | Portugal | 25,881 | |
| 30 | Brunei Darussalam | 37,506 | 5 3 |
| 31 | Barbados | 20,309 | 5 3 |
| 32 | Czech Republic | 27,440 | |
| 33 | Kuwait | 36,403 | 3 |
| 34 | Malta | 25,623 | |
| 35 | Qatar | 37,774 | 5 3 |
| 36 | Hungary | 22,098 | |
| 37 | Poland | 17,493 | 3 |
| 38 | Argentina | 18,686 | 3 |
| 39 | United Arab Emirates | 33,555 | 3 |
| 40 | Chile | 17,293 | 3 |
| 41 | Bahrain | 29,796 | |
| 42 | Slovakia | 20,218 | 3 |
| 43 | Lithuania | 17,349 | |
| 44 | Estonia | 19,430 | 3 |
| 45 | Latvia | 16,842 | |
| 46 | Uruguay | 12,890 | 3 |
| 47 | Croatia | 15,687 | |
| 48 | Costa Rica | 13,271 | |
| 49 | Bahamas | 20,803 | 4 3 |
| 50 | Seychelles | .. | 3 |
| 51 | Cuba | 9,489 | 5 3 |
| 52 | Mexico | 15,680 | |
| 53 | Bulgaria | 11,010 | |
| 54 | Saint Kitts and Nevis | .. | 4 3 |
| 55 | Tonga | 10,981 | 3 |
| 56 | Libyan Arab Jamahiriya | 13,460 | 5 3 |
| 57 | Antigua and Barbuda | .. | 4 3 |
| 58 | Oman | 23,880 | 4 3 |
| 59 | Trinidad and Tobago | 20,053 | 3 |
| 60 | Romania | 10,761 | |
| 61 | Saudi Arabia | 25,678 | 3 |
| 62 | Panama | 9,636 | |
| 63 | Malaysia | 15,861 | |
| 64 | Belarus | 9,835 | |
| 65 | Mauritius | 18,098 | 3 |
| 66 | Bosnia and Herzegovina | 4,341 | 5 3 |
| 67 | Russian Federation | 13,581 | 3 |
| 68 | Albania | 6,930 | 3 |
| 69 | Macedonia (TFYR) | 9,734 | 3 |
| 70 | Brazil | 10,664 | |
| 71 | Dominica | .. | 4 3 |
| 72 | Saint Lucia | 8,805 | 4 3 |
| 73 | Kazakhstan | 9,723 | |
| 74 | Venezuela (Bolivarian Republic of) | 8,683 | 3 |
| 75 | Colombia | 8,966 | |
| 76 | Ukraine | 9,067 | |
| 77 | Samoa | 8,797 | 3 |
| 78 | Thailand | 10,732 | |
| 79 | Dominican Republic | 11,465 | 3 |
| 80 | Belize | 10,117 | 3 |
| 81 | China | 8,213 | 3 |
| 82 | Grenada | .. | 4 3 |
| 83 | Armenia | 6,150 | 3 |
| 84 | Turkey | 12,368 | |
| 85 | Suriname | 11,029 | 3 |
| 86 | Jordan | 8,270 | |
| 87 | Peru | 7,791 | 3 |
| 88 | Lebanon | 8,585 | 3 |
| 89 | Ecuador | 5,572 | 3 |
| 90 | Philippines | 6,375 | |
| 91 | Tunisia | 12,924 | 3 |
| 92 | Fiji | 8,103 | 3 |
| 93 | Saint Vincent and the Grenadines | 8,722 | 3 |
| 94 | Iran (Islamic Republic of) | 11,363 | 3 |
| 95 | Paraguay | 6,892 | |
| 96 | Georgia | 5,188 | |
| 97 | Guyana | 6,467 | 3 |
| 98 | Azerbaijan | 6,137 | 3 |
| 99 | Sri Lanka | 6,479 | |
| 100 | Maldives | 7,946 | 5 3 |
| 101 | Jamaica | 5,503 | 3 |
| 102 | Cape Verde | 8,756 | 3 |
| 103 | El Salvador | 7,543 | |
| 104 | Algeria | 10,515 | 3 |
| 105 | Viet Nam | 3,604 | 3 |
| 106 | Occupied Palestinian Territories | .. | |
| 107 | Indonesia | 5,280 | 3 |
| 108 | Syrian Arab Republic | 5,684 | 3 |
| 109 | Turkmenistan | 9,596 | 5 3 |
| 110 | Nicaragua | 5,577 | 3 |
| 111 | Moldova | 2,608 | 3 |
| 112 | Egypt | 7,024 | |
| 113 | Uzbekistan | 2,585 | 3 |
| 114 | Mongolia | 2,799 | 3 |
| 115 | Honduras | 4,680 | 3 |
| 116 | Kyrgyzstan | 2,455 | 3 |
| 117 | Bolivia | 3,584 | 3 |
| 118 | Guatemala | 6,990 | 3 |
| 119 | Gabon | 8,876 | 3 |
| 120 | Vanuatu | 3,830 | 3 |
| 121 | South Africa | 15,446 | 3 |
| 122 | Tajikistan | 1,725 | 3 |
| 123 | Sao Tome and Principe | 3,357 | 3 |
| 124 | Botswana | 19,094 | |
| 125 | Namibia | 9,679 | 3 |
| 126 | Morocco | 7,297 | 3 |
| 127 | Equatorial Guinea | 10,814 | 4 3 |
| 128 | India | 5,194 | 3 |
| 129 | Solomon Islands | 2,672 | 3 |
| 130 | Lao People's Democratic Republic | 2,692 | 3 |
| 131 | Cambodia | 3,149 | 3 |
| 132 | Myanmar | .. | |
| 133 | Bhutan | 4,463 | 5 3 |
| 134 | Comoros | 2,643 | 3 |
| 135 | Ghana | 2,893 | 3 |
| 136 | Pakistan | 3,607 | 3 |
| 137 | Mauritania | 2,996 | 3 |
| 138 | Lesotho | 4,480 | 3 |
| 139 | Congo | 1,691 | 3 |
| 140 | Bangladesh | 2,792 | 3 |
| 141 | Swaziland | 7,659 | |
| 142 | Nepal | 2,072 | 3 |
| 143 | Madagascar | 1,090 | 3 |
| 144 | Cameroon | 3,086 | 3 |
| 145 | Papua New Guinea | 2,960 | 3 |
| 146 | Haiti | 2,195 | 3 |
| 147 | Sudan | 3,317 | 3 |
| 148 | Kenya | 1,354 | |
| 149 | Djibouti | 2,935 | 3 |
| 150 | Timor-Leste | .. | 3 |
| 151 | Zimbabwe | 2,585 | 3 |
| 152 | Togo | 2,119 | 3 |
| 153 | Yemen | 1,422 | 3 |
| 154 | Uganda | 1,708 | 3 |
| 155 | Gambia | 2,525 | 3 |
| 156 | Senegal | 2,346 | 3 |
| 157 | Eritrea | 1,544 | |
| 158 | Nigeria | 1,592 | 3 |
| 159 | Tanzania (United Republic of) | 863 | 3 |
| 160 | Guinea | 2,734 | 3 |
| 161 | Rwanda | 1,392 | 3 |
| 162 | Angola | 2,898 | 3 |
| 163 | Benin | 1,543 | 3 |
| 164 | Malawi | 771 | 3 |
| 165 | Zambia | 1,319 | 3 |
| 166 | Côte d'Ivoire | 2,472 | 3 |
| 167 | Burundi | 791 | 3 |
| 168 | Congo (Democratic Republic of the) | 944 | 3 |
| 169 | Ethiopia | 1,316 | 3 |
| 170 | Chad | 1,735 | 3 |
| 171 | Central African Republic | 1,530 | 3 |
| 172 | Mozambique | 1,378 | 3 |
| 173 | Mali | 1,234 | 3 |
| 174 | Niger | 991 | 3 |
| 175 | Guinea-Bissau | 1,103 | 3 |
| 176 | Burkina Faso | 1,458 | 3 |
| 177 | Sierra Leone | 1,114 | 3 |
Notes :
| 1 - | Because of the lack of gender-disaggregated income data, female and male earned income are crudely estimated on the basis of data on the ratio of the female nonagricultural wage to the male nonagricultural wage, the female and male shares of the economically active population, the total female and male population and GDP per capita in PPP US$ (see Technical note 1). The wage ratios used in this calculation are based on data for the most recent year available between 1996 and 2005. |
| 2 - | For the purpose of calculating the GDI, the female and male values appearing in this table were scaled downward to reflect the maximum values for adult literacy (99%), gross enrolment ratios (100%), and GDP per capita (40,000 (PPP US$)). For more details, see Technical note 1. |
| 3 - | No wage data are available. For the purposes of calculating the estimated female and male earned income, a value of 0.75 was used for the ratio of the female nonagricultural wage to the male nonagricultural wage. |
| 4 - | Data from earlier years were adjusted to reflect their values in 2005 prices. |
| 5 - | Heston, Alan, Robert Summers, and Bettina Aten. 2006. “Penn World Table Version 6.2.” University of Pennsylvania, Center for International Comparisons of Production, Income and Prices, Philadelphia. [http://pwt.econ.upenn.edu/]. Accessed June 2007. Data differ from the standard definition. |
Sources :
calculated on the basis of data on GDP per capita (PPP US$) and population data from World Bank. 2007b. World Development Indicators 2007. CD-ROM. Washington, DC., unless otherwise specified; data on wages from ILO (International Labour Organization). 2007b. LABORSTA Database. Geneva. [http://laborsta.ilo.org]. Accessed April 2007.; data on the economically active population from ILO. (International Labour Organization). 2005. Key Indicators of the Labour Market. Fourth edition. CD-ROM. Geneva.
Symbols :
| .. | Data not available |
| (.) | Greater (or less) than zero but small enough to be rounded off to zero at the displayed number of decimal points |
| < | Less than |
| - | Not applicable |
| T | Total |
