Use of interpolation and extrapolation on original Gini coefficient data by country
In order to produce global estimates of historical poverty trends we have interpolated or extrapolated inequality data for missing observations. Green indicates observations of the Gini coefficient available in the original source.
Countries reporting
157
Highest
84,056
Norway
Lowest
607
Central African Republic
Median
11,494
Years covered
198
1820–2017
Data points
2,400
What the numbers show
Use of interpolation and extrapolation on original Gini coefficient data is currently reported for 157 countries. The highest value is 84,056 in Norway; the lowest is 607 in Central African Republic.
The median across all reporting countries is 11,494, and the mean is 16,511.
The gap between the highest and lowest reporting country is a factor of about 138.
Over the past decade 146 countries rose and 11 fell. The largest increase was in Turkmenistan (up 185.1%), and the largest decrease in Syria (down 54.0%).
Use of interpolation and extrapolation on original Gini coefficient data: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Norway | 84,056 | 2017 | up 23.4% | volatile |
| 2 | Singapore | 67,331 | 2017 | up 50.6% | volatile |
| 4 | Switzerland | 60,171 | 2017 | up 22.1% | volatile |
| 6 | United States | 54,008 | 2017 | up 8.8% | volatile |
| 7 | Saudi Arabia | 50,002 | 2017 | up 52.9% | volatile |
| 8 | Hong Kong | 49,919 | 2017 | up 30.7% | volatile |
| 9 | Australia | 49,266 | 2017 | up 17.6% | volatile |
| 10 | Netherlands | 46,651 | 2017 | up 14.7% | volatile |
| 11 | Germany | 45,620 | 2017 | up 26.0% | volatile |
| 12 | Denmark | 45,456 | 2017 | up 7.5% | volatile |
| 13 | Sweden | 45,193 | 2017 | up 15.1% | volatile |
| 14 | Canada | 44,592 | 2017 | up 10.1% | volatile |
| 15 | Taiwan | 43,504 | 2017 | up 38.7% | volatile |
| 16 | Iceland | 42,978 | 2017 | up 13.4% | volatile |
| 17 | Austria | 42,177 | 2017 | up 12.0% | volatile |
| 18 | Bahrain | 40,696 | 2017 | up 61.3% | volatile |
| 19 | Belgium | 39,352 | 2017 | up 8.3% | volatile |
| 20 | Japan | 38,415 | 2017 | up 10.2% | volatile |
| 21 | Finland | 38,367 | 2017 | up 4.3% | volatile |
| 22 | France | 37,895 | 2017 | up 6.8% | volatile |
| 23 | United Kingdom | 37,783 | 2017 | up 6.1% | volatile |
| 24 | Oman | 37,102 | 2017 | up 22.1% | volatile |
| 25 | South Korea | 37,093 | 2017 | up 35.2% | volatile |
| 26 | Puerto Rico | 35,439 | 2017 | up 10.7% | volatile |
| 27 | New Zealand | 34,876 | 2017 | up 15.2% | volatile |
| 28 | Italy | 34,027 | 2017 | down 2.4% | volatile |
| 29 | Israel | 32,339 | 2017 | up 25.9% | volatile |
| 30 | Equatorial Guinea | 31,048 | 2017 | down 12.7% | volatile |
| 31 | Spain | 30,908 | 2017 | up 0.1% | volatile |
| 33 | Trinidad and Tobago | 28,557 | 2017 | up 7.1% | volatile |
| 34 | Slovenia | 28,190 | 2017 | up 12.9% | volatile |
| 35 | Seychelles | 27,574 | 2017 | up 81.7% | volatile |
| 36 | Cyprus | 26,445 | 2017 | up 1.1% | volatile |
| 37 | Portugal | 26,299 | 2017 | up 7.9% | volatile |
| 38 | Estonia | 26,254 | 2017 | up 16.6% | volatile |
| 39 | Lithuania | 26,157 | 2017 | up 59.3% | volatile |
| 40 | Poland | 26,061 | 2017 | up 67.3% | volatile |
| 41 | Turkmenistan | 25,070 | 2017 | up 185.1% | volatile |
| 42 | Kazakhstan | 24,557 | 2017 | up 61.2% | volatile |
| 43 | Hungary | 24,350 | 2017 | up 34.2% | volatile |
| 44 | Russia | 24,043 | 2017 | up 48.0% | volatile |
| 45 | Malaysia | 24,041 | 2017 | up 53.6% | volatile |
| 46 | Latvia | 23,133 | 2017 | up 35.5% | volatile |
| 47 | Greece | 22,959 | 2017 | down 12.0% | volatile |
| 48 | Panama | 22,207 | 2017 | up 95.0% | volatile |
| 49 | Chile | 21,650 | 2017 | up 26.3% | volatile |
| 50 | Croatia | 21,232 | 2017 | up 20.8% | volatile |
| 51 | Uruguay | 19,918 | 2017 | up 56.1% | volatile |
| 52 | Mauritius | 19,522 | 2017 | up 32.6% | volatile |
| 53 | Argentina | 19,201 | 2017 | up 25.1% | volatile |
| 54 | Romania | 19,158 | 2017 | up 69.3% | volatile |
| 55 | Turkey | 18,996 | 2017 | up 31.1% | volatile |
| 56 | Montenegro | 18,569 | 2017 | up 106.3% | volatile |
| 57 | Belarus | 18,113 | 2017 | up 43.4% | volatile |
| 58 | Gabon | 17,963 | 2017 | up 44.4% | volatile |
| 59 | Bulgaria | 17,764 | 2017 | up 51.1% | volatile |
| 60 | Iran | 17,687 | 2017 | up 34.9% | volatile |
| 61 | Azerbaijan | 16,522 | 2017 | up 118.7% | volatile |
| 62 | Mexico | 16,309 | 2017 | up 19.4% | volatile |
| 63 | Thailand | 16,032 | 2017 | up 36.5% | volatile |
| 64 | Botswana | 15,397 | 2017 | up 57.1% | volatile |
| 65 | Dominican Republic | 15,019 | 2017 | up 84.1% | volatile |
| 66 | Costa Rica | 14,471 | 2017 | up 40.4% | volatile |
| 67 | Algeria | 14,267 | 2017 | up 43.1% | volatile |
| 68 | Brazil | 13,952 | 2017 | up 23.4% | volatile |
| 69 | Serbia | 13,489 | 2017 | up 46.7% | volatile |
| 70 | Colombia | 13,358 | 2017 | up 40.2% | volatile |
| 71 | Iraq | 13,211 | 2017 | up 105.1% | volatile |
| 72 | Libya | 13,008 | 2017 | down 21.3% | volatile |
| 73 | Lebanon | 12,881 | 2017 | up 29.7% | volatile |
| 74 | Venezuela | 12,879 | 2017 | down 13.8% | volatile |
| 75 | Mongolia | 12,768 | 2017 | up 164.8% | volatile |
| 76 | North Macedonia | 12,753 | 2017 | up 41.9% | volatile |
| 77 | China | 12,734 | 2017 | up 92.2% | volatile |
| 78 | South Africa | 12,189 | 2017 | up 29.8% | volatile |
| 79 | Barbados | 12,061 | 2017 | down 2.6% | volatile |
| 80 | Peru | 11,953 | 2017 | up 68.6% | volatile |
| 81 | Egypt | 11,620 | 2017 | up 44.9% | volatile |
| 82 | Jordan | 11,494 | 2017 | up 16.6% | volatile |
| 83 | Georgia | 11,431 | 2017 | up 66.9% | volatile |
| 84 | Sri Lanka | 11,418 | 2017 | up 75.9% | volatile |
| 85 | Indonesia | 11,365 | 2017 | up 75.3% | volatile |
| 86 | Tunisia | 11,168 | 2017 | up 24.3% | volatile |
| 87 | Armenia | 10,859 | 2017 | up 35.6% | volatile |
| 88 | Uzbekistan | 10,744 | 2017 | up 103.3% | volatile |
| 89 | Albania | 10,702 | 2017 | up 56.1% | volatile |
| 90 | Ecuador | 10,637 | 2017 | up 28.8% | volatile |
| 91 | Saint Lucia | 10,440 | 2017 | up 24.0% | volatile |
| 92 | Bosnia and Herzegovina | 10,069 | 2017 | up 25.0% | volatile |
| 93 | Ukraine | 9,484 | 2017 | up 11.6% | volatile |
| 94 | Namibia | 9,188 | 2017 | up 35.0% | rising |
| 95 | Paraguay | 9,114 | 2017 | up 53.9% | volatile |
| 96 | Dominica | 8,842 | 2017 | up 32.0% | volatile |
| 97 | El Salvador | 8,428 | 2017 | up 30.8% | volatile |
| 98 | Morocco | 8,291 | 2017 | up 45.3% | volatile |
| 99 | Angola | 8,146 | 2017 | up 119.6% | volatile |
| 100 | Cuba | 8,142 | 2017 | up 72.7% | volatile |
| 101 | Eswatini | 7,963 | 2017 | up 35.7% | volatile |
| 102 | Philippines | 7,781 | 2017 | up 64.8% | volatile |
| 103 | Guatemala | 7,308 | 2017 | up 19.2% | volatile |
| 104 | Jamaica | 7,135 | 2017 | up 0.9% | volatile |
| 105 | Cape Verde | 6,577 | 2017 | up 41.2% | volatile |
| 106 | Bolivia | 6,521 | 2017 | up 46.7% | volatile |
| 107 | India | 6,449 | 2017 | up 89.8% | volatile |
| 108 | Vietnam | 6,422 | 2017 | up 76.5% | volatile |
| 109 | Moldova | 6,419 | 2017 | up 57.6% | volatile |
| 110 | Laos | 6,166 | 2017 | up 109.1% | volatile |
| 111 | Congo | 5,747 | 2017 | up 19.2% | volatile |
| 112 | Myanmar | 5,536 | 2017 | up 87.9% | volatile |
| 113 | Pakistan | 5,392 | 2017 | up 38.8% | volatile |
| 114 | Nigeria | 5,271 | 2017 | up 57.4% | volatile |
| 115 | Palestine | 5,270 | 2017 | up 14.8% | volatile |
| 116 | Nicaragua | 5,214 | 2017 | up 54.7% | rising |
| 117 | Kyrgyzstan | 5,056 | 2017 | up 42.3% | volatile |
| 118 | Honduras | 4,941 | 2017 | up 28.3% | rising |
| 119 | Tajikistan | 4,205 | 2017 | up 74.0% | volatile |
| 120 | Ghana | 4,104 | 2017 | up 70.2% | volatile |
| 121 | Bangladesh | 3,837 | 2017 | up 99.2% | volatile |
| 122 | Sao Tome and Principe | 3,721 | 2017 | up 46.9% | rising |
| 123 | Cote d'Ivoire | 3,559 | 2017 | up 53.9% | volatile |
| 124 | Zambia | 3,498 | 2017 | up 77.6% | volatile |
| 125 | Mauritania | 3,431 | 2017 | up 44.7% | volatile |
| 126 | Cambodia | 3,425 | 2017 | up 59.7% | volatile |
| 127 | Kenya | 3,250 | 2017 | up 50.6% | volatile |
| 128 | Syria | 3,241 | 2017 | down 54.0% | volatile |
| 129 | Djibouti | 3,168 | 2017 | up 48.9% | rising |
| 130 | Cameroon | 2,850 | 2017 | up 28.2% | rising |
| 131 | Tanzania | 2,763 | 2017 | up 77.8% | volatile |
| 132 | Lesotho | 2,721 | 2017 | up 35.1% | volatile |
| 133 | Nepal | 2,600 | 2017 | up 41.6% | rising |
| 134 | Senegal | 2,520 | 2017 | up 18.8% | rising |
| 135 | Yemen | 2,322 | 2017 | down 48.2% | volatile |
| 136 | Benin | 2,142 | 2017 | up 14.2% | rising |
| 137 | Chad | 2,066 | 2017 | up 63.2% | rising |
| 138 | Afghanistan | 2,015 | 2017 | up 109.0% | rising |
| 139 | Uganda | 1,992 | 2017 | up 37.3% | rising |
| 140 | Gambia | 1,819 | 2017 | up 18.0% | rising |
| 140 | Rwanda | 1,819 | 2017 | up 50.2% | rising |
| 142 | Ethiopia | 1,753 | 2017 | up 111.5% | rising |
| 143 | Haiti | 1,726 | 2017 | up 18.1% | rising |
| 144 | Comoros | 1,713 | 2017 | up 35.3% | volatile |
| 145 | North Korea | 1,673 | 2017 | down 7.5% | rising |
| 146 | Sierra Leone | 1,644 | 2017 | up 34.3% | falling |
| 147 | Mali | 1,629 | 2017 | up 15.1% | rising |
| 148 | Zimbabwe | 1,582 | 2017 | up 5.7% | rising |
| 149 | Guinea | 1,563 | 2017 | up 31.7% | rising |
| 150 | Burkina Faso | 1,530 | 2017 | up 16.8% | rising |
| 151 | Guinea-Bissau | 1,483 | 2017 | up 20.9% | rising |
| 152 | Togo | 1,418 | 2017 | up 26.6% | rising |
| 153 | Madagascar | 1,400 | 2017 | up 9.7% | rising |
| 154 | Mozambique | 1,125 | 2017 | up 1.5% | falling |
| 155 | Malawi | 1,119 | 2017 | up 21.6% | rising |
| 156 | Niger | 935 | 2017 | up 23.5% | rising |
| 157 | Democratic Republic of Congo | 839 | 2017 | up 70.9% | rising |
| 158 | Liberia | 829 | 2017 | up 9.8% | volatile |
| 159 | Burundi | 671 | 2017 | down 3.0% | rising |
| 160 | Central African Republic | 607 | 2017 | down 29.3% | flat |
About this data
In order to produce global estimates of historical poverty trends we have interpolated or extrapolated inequality data for missing observations. Green indicates observations of the Gini coefficient available in the original source.