List of countries by income equality explained

This is a list of countries or dependencies by income inequality metrics, including Gini coefficients. The Gini coefficient is a number between 0 and 1, where 0 corresponds with perfect equality (where everyone has the same income) and 1 corresponds with perfect inequality (where one person has all the incomeand everyone else has no income).

Income distribution can vary greatly from wealth distribution in a country (see List of countries by wealth inequality). Income from black market economic activity is not included and is the subject of current economic research.[1] [2]

UN, World Bank and CIA list – income ratios and Gini indices

Row numbers are static. Other columns are sortable. This allows ranking of any column.

Key:

R/P 10%: The ratio of the average income of the richest 10% to the poorest 10%.
  • R/P 20%: The ratio of the average income of the richest 20% to the poorest 20%.
  • Gini: Gini index, a quantified representation of a nation's Lorenz curve. A Gini index of 0% expresses perfect equality, while index of 100% expresses maximal inequality.
  • UN: Data from the United Nations Development Programme.
  • CIA: Data from the Central Intelligence Agency's The World Factbook.
  • CountrySubregionRegionUN R/PCIA R/P[3] World Bank Gini[4] [5]
    width=50px 10%width=50px 20%[6] width=50px 10%width=50px Yearwidth=50px %width=50px Year
    scope=row style="text-align:left"--->
    scope=row style="text-align:left"7.2 4.2 7.2 200429.42020
    scope=row style="text-align:left"9.6 4.0 9.6 199527.62011
    scope=row style="text-align:left"9.0 51.32018
    scope=row style="text-align:left"31.6 8.8 35.0 200740.72022
    scope=row style="text-align:left"8.0 5.0 25.8 200427.92022
    scope=row style="text-align:left"12.5 6.3 12.7 199434.32018
    scope=row style="text-align:left"6.9 4.9 6.8 200430.72021
    scope=row style="text-align:left"9.7 9.5 200126.62005
    scope=row style="text-align:left"7.5 4.8 7.5 200033.42022
    scope=row style="text-align:left"6.9 3.6 6.9 200224.42020
    scope=row style="text-align:left"8.2 4.2 8.3 200026.62021
    scope=row style="text-align:left"28.8 19.9 201353.31999
    scope=row style="text-align:left"9.4 16.3 9.4 200334.42021
    scope=row style="text-align:left"6.6 28.52022
    scope=row style="text-align:left"93.9 11.8 157.3 200240.92021
    scope=row style="text-align:left"5.4 5.4 5.5 200133.02011
    scope=row style="text-align:left"43.0 15.0 53.32015
    scope=row style="text-align:left"16.5 21.1 16.3 201352.02022
    scope=row style="text-align:left"7.0 7.3 8.8 200539.02021
    scope=row style="text-align:left"11.6 5.3 11.5 200337.42021
    scope=row style="text-align:left"19.3 6.7 19.3 199837.52020
    scope=row style="text-align:left"12.2 12.0 2004362013
    scope=row style="text-align:left"15.7 11.5 15.4 200142.22021
    scope=row style="text-align:left"9.4 6.2 9.5 200031.72019
    scope=row style="text-align:left"10.7 42.42015
    scope=row style="text-align:left"69.2 18.5 68.1 199343.02021
    scope=row style="text-align:left"10.0 37.42022
    scope=row style="text-align:left"26.2 11.2 32.1 200343.02022
    scope=row style="text-align:left"21.6 10.2 21.8 200437.12020
    scope=row style="text-align:left"60.4 13.4 56.3 200854.82022
    scope=row style="text-align:left"11.245.32014
    scope=row style="text-align:left"8.8 44.72020
    scope=row style="text-align:left"12.8 48.92011
    scope=row style="text-align:left"23.4 12.3 37.3 200347.22022
    scope=row style="text-align:left"16.6 8.4 17.0 200235.32021
    scope=row style="text-align:left"7.3 5.3 7.2 200328.92021
    scope=row style="text-align:left"5.3 31.32021
    scope=row style="text-align:left"5.2 3.7 5.2 199626.22021
    scope=row style="text-align:left"8.1 4.0 12.0 200028.32021
    scope=row style="text-align:left"8.8 41.62017
    scope=row style="text-align:left"25.3 10.5 18.8 201237.02022
    scope=row style="text-align:left"35.2 10.7 17.5 200645.52022
    scope=row style="text-align:left"8.0 4.6 8.0 200031.92019
    scope=row style="text-align:left"38.6 7.0 55.4 200238.82022
    scope=row style="text-align:left"10.8 5.4 11.0 200331.82021
    scope=row style="text-align:left"Africa25.1 14.2 25.4 200154.62016
    scope=row style="text-align:left"6.6 7.1 6.5 200035.02015
    scope=row style="text-align:left"8.6 201530.62012
    scope=row style="text-align:left"22.712018
    scope=row style="text-align:left"6.0 30.72019
    scope=row style="text-align:left"5.6 3.9 5.7 200027.72021
    scope=row style="text-align:left"9.1 5.2 8.3 200431.52021
    scope=row style="text-align:left"7.4 38.02017
    scope=row style="text-align:left"20.2 5.9 20.6 199838.82020
    scope=row style="text-align:left"15.4 7.1 15.2 200334.22021
    scope=row style="text-align:left"6.9 5.1 6.9 200031.72019
    scope=row style="text-align:left"14.1 10.3 13.7 199943.52016
    scope=row style="text-align:left"10.2 7.1 10.4 200032.92021
    scope=row style="text-align:left"33.9 11.9 48.2 200248.32014
    scope=row style="text-align:left"10.5 5.5 21.6 200629.62018
    scope=row style="text-align:left"19.0 12.6 84.8 199133.42021
    scope=row style="text-align:left"26.0 199945.11998
    scope=row style="text-align:left"54.4 8.6 68.1 200141.12012
    scope=row style="text-align:left"59.4 17.1 35.2 200348.22019
    scope=row style="text-align:left"17.8 53.92016
    scope=row style="text-align:left"5.5 4.9 5.6 200229.22021
    scope=row style="text-align:left"4.0 26.12017
    scope=row style="text-align:left"8.6 5.5 8.6 200432.82021
    scope=row style="text-align:left"7.8 6.6 7.9 200238.32023
    scope=row style="text-align:left"17.2 7.7 16.9 199834.82022
    scope=row style="text-align:left"4.4 29.52012
    scope=row style="text-align:left"9.4 5.0 9.4 200030.12021
    scope=row style="text-align:left"13.4 8.5 11.8 200537.92021
    scope=row style="text-align:left"11.6 7.0 11.7 200034.82021
    scope=row style="text-align:left"17.3 17.0 200440.22021
    scope=row style="text-align:left"4.5 5.4 4.5 199332.92013
    scope=row style="text-align:left"11.3 5.2 11.3 200333.72010
    scope=row style="text-align:left"8.5 3.8 8.0 200429.22021
    scope=row style="text-align:left"13.6 7.7 18.6 200038.72021
    scope=row style="text-align:left"7.8 5.3 5.9 201131.42016
    scope=row style="text-align:left"29.02017
    scope=row style="text-align:left"6.4 3.8 6.4 200328.82021
    scope=row style="text-align:left"8.3 5.9 8.4 200238.82018
    scope=row style="text-align:left"11.6 5.8 11.6 200334.32021
    scope=row style="text-align:left"5.1 31.82011
    scope=row style="text-align:left"39.8 20.8 48.2 200244.92017
    scope=row style="text-align:left"12.8 5.9 35.32016
    scope=row style="text-align:left"10.4 7.2 10.3 200336.72021
    scope=row style="text-align:left"5.7 6.8 200032.72021
    scope=row style="text-align:left"36.02018
    scope=row style="text-align:left"12.5 7.3 12.3 200333.52019
    scope=row style="text-align:left"19.2 8.7 19.3 200142.62012
    scope=row style="text-align:left"10.9 8.1 11.0 200438.52019
    scope=row style="text-align:left"22.1 8.2 28.0 200340.72021
    scope=row style="text-align:left"7.0 29.32019
    scope=row style="text-align:left"12.5 5.2 12.6 200135.72021
    scope=row style="text-align:left"4.5 31.42020
    scope=row style="text-align:left"12.0 5.4 11.8 200032.02019
    scope=row style="text-align:left"5.9 36.82017
    scope=row style="text-align:left"21.6 8.8 24.6 200443.52022
    scope=row style="text-align:left"8.4 40.12013
    scope=row style="text-align:left"8.2 3.6 8.3 200325.72021
    scope=row style="text-align:left"8.2 5.1 8.2 200231.42022
    scope=row style="text-align:left"4.8 34.32021
    scope=row style="text-align:left"11.7 7.0 11.9 199939.52013
    scope=row style="text-align:left"18.8 14.2 18.8 200250.52019
    scope=row style="text-align:left"6.3 11.6 199830.72017
    scope=row style="text-align:left"106.6 22.8 129.0 200359.12015
    scope=row style="text-align:left"15.8 5.0 15.6 200432.82010
    scope=row style="text-align:left"9.2 4.2 9.2 199925.72021
    scope=row style="text-align:left"12.4 33.92019
    scope=row style="text-align:left"31.0 10.2 15.4 200146.22014
    scope=row style="text-align:left"46.0 5.4 44.3 199532.92021
    scope=row style="text-align:left"17.8 9.1 17.5 200335.12018
    scope=row style="text-align:left"6.1 4.1 6.0 200027.72019
    scope=row style="text-align:left"6.5 4.8 6.6 200229.62018
    scope=row style="text-align:left"49.9 15.9 61.4 200348.92023
    scope=row style="text-align:left"23.8 9.3 23.8 199641.92009
    scope=row style="text-align:left"38.8 11.7 65.9 200345.12022
    scope=row style="text-align:left"26.1 10.3 31.5 200340.32022
    scope=row style="text-align:left"15.5 7.2 15.5 200340.72021
    scope=row style="text-align:left"8.8 4.6 8.7 200228.52021
    scope=row style="text-align:left"15.0 6.4 9.2 199534.62021
    scope=row style="text-align:left"41.12007
    scope=row style="text-align:left"7.5 8.0 7.4 200333.92021
    scope=row style="text-align:left"12.7 6.6 12.8 200236.02020
    scope=row style="text-align:left"18.6 8.5 18.2 200043.72016
    scope=row style="text-align:left"4.7 40.72017
    scope=row style="text-align:left"45.92013
    scope=row style="text-align:left"12.3 7.7 12.4 200136.22021
    scope=row style="text-align:left"4.2 33.12021
    scope=row style="text-align:left"9.8 32.12018
    scope=row style="text-align:left"87.2 5.4 87.2 198935.72018
    scope=row style="text-align:left"17.7 17.3 199845.92017
    scope=row style="text-align:left"6.7 4.1 6.7 199624.12021
    scope=row style="text-align:left"5.9 3.7 5.9 199824.32021
    scope=row style="text-align:left"36.82017
    scope=row style="text-align:left"33.1 28.4 31.9 200063.02014
    scope=row style="text-align:left"13.0 44.12016
    scope=row style="text-align:left"10.3 7.3 10.2 200033.92021
    scope=row style="text-align:left"11.1 6.8 36.1 200337.72019
    scope=row style="text-align:left"6.8 51.22016
    scope=row style="text-align:left"6.2 34.22014
    scope=row style="text-align:left"39.22022
    scope=row style="text-align:left"6.2 4.6 6.2 200029.82021
    scope=row style="text-align:left"9.0 5.2 8.9 200033.72020
    scope=row style="text-align:left"26.62022
    scope=row style="text-align:left"6.1 200234.12017
    scope=row style="text-align:left"7.8 5.6 7.8 200334.02015
    scope=row style="text-align:left"9.2 6.2 9.3 200040.52018
    scope=row style="text-align:left"12.6 6.0 12.4 200234.92021
    scope=row style="text-align:left"4.1 28.72014
    scope=row style="text-align:left"9.7 37.92021
    scope=row style="text-align:left"12.9 40.31992
    scope=row style="text-align:left"13.4 5.2 13.7 200033.72021
    scope=row style="text-align:left"6.6 8.5 17.1 200344.42021
    scope=row style="text-align:left"12.3 12.2 199840.81998
    scope=row style="text-align:left"16.6 8.2 16.4 200242.72019
    scope=row style="text-align:left"5.9 3.5 7.6 200625.62020
    scope=row style="text-align:left"26.02018
    scope=row style="text-align:left"13.8 5.4 13.6 199932.42021
    scope=row style="text-align:left"18.5 9.4 14.0 201439.82021
    scope=row style="text-align:left"11.8 7.8 17.9 200340.62022
    scope=row style="text-align:left"10.6 10.6 200331.22022
    scope=row style="text-align:left"18.8 15.8 50.3 200344.82006
    scope=row style="text-align:left"6.9 6.2 10.0 200436.12022
    scope=row style="text-align:left"8.6 6.1 8.6 200336.72014
    scope=row style="text-align:left"21.151.52022
    scope=row style="text-align:left"8.6 50.32019
    38.0 2007

    EU27 countries

    Member statedata-sort-type=number 2011data-sort-type=number 2012data-sort-type=number 2013data-sort-type=number 2014data-sort-type=number 2015data-sort-type=number 20162017201820192020202120222023
    Austria27.427.627.027.627.227.227.926.827.527.026.727.828.1
    Belgium26.326.525.925.926.226.326.125.725.125.424.124.924.2
    Bulgaria35.033.635.435.437.037.740.239.640.840.039.738.437.2
    Croatia31.230.930.930.230.429.829.929.729.228.329.228.529.7
    Cyprus29.231.032.434.833.632.130.829.131.129.329.429.429.6
    25.224.924.625.125.0 25.124.524.024.024.224.924.824.4
    Denmark26.626.526.827.727.427.727.627.827.527.327.027.728.2
    Estonia31.932.532.935.634.832.731.630.630.530.530.631.931.8
    Finland25.825.925.425.625.225.425.325.926.226.525.726.626.6
    France30.830.530.129.229.229.328.828.529.229.229.329.829.7
    Germany29.028.329.730.730.129.529.131.129.730.531.229.029.4
    Greece33.534.334.434.534.234.333.432.331.031.432.431.431.8
    Hungary26.927.228.328.628.228.228.128.728.028.027.627.429.0
    29.830.430.731.129.729.630.628.928.328.326.626.927.4
    Italy32.532.432.832.432.433.132.733.432.832.532.932.731.5
    Latvia35.135.735.235.535.434.534.535.635.234.535.734.334.0
    Lithuania33.032.034.635.037.937.037.636.935.435.135.436.235.7
    Luxembourg27.228.030.428.728.529.629.231.332.331.229.629.130.6
    Malta27.227.128.027.728.128.628.228.728.030.331.231.133.0
    Netherlands25.825.425.126.226.726.927.127.426.828.226.426.326.4
    Poland31.130.930.730.830.629.829.227.828.527.226.826.327.0
    Portugal34.234.534.234.534.033.933.532.131.931.233.032.033.7
    Romania33.534.034.635.037.434.733.135.134.833.834.332.031.0
    Slovakia25.725.324.226.123.724.323.220.922.820.921.821.221.6
    Slovenia23.823.724.425.024.524.423.723.423.923.523.023.123.4
    Spain34.034.233.734.734.634.534.133.233.032.133.032.031.5
    Sweden26.026.026.026.926.727.628.027.027.626.926.827.629.5
    30.530.430.630.930.830.630.330.430.230.030.229.629.6
    Eurozone (EA19)30.630.530.731.030.730.730.430.630.230.330.5
    Serbia38.038.340.039.837.835.633.333.333.333.2
    Montenegro[7] 38.536.536.536.536.734.734.132.932.531.5
    Note: Pink-coloured cells indicate a break in the time series. Blue-coloured cells indicate estimated values.

    Source: Eurostat, “Gini coefficient of equivalised disposable income - EU-SILC survey”[8]

    OECD countries

    Gini coefficient, before taxes and transfers

    Country Gini Year
    0.441 2020
    0.486 2019
    0.489 2019
    0.438 2020
    0.495 2017
    0.551 2021
    0.432 2019
    0.445 2019
    0.465 2019
    0.516 2020
    0.519 2019
    0.497 2019
    0.525 2019
    0.463 2019
    0.369 2017
    0.520 2018
    0.449 2019
    0.511 2018
    0.570 2021
    0.483 2020
    0.495 2019
    0.490 2019
    0.435 2020
    0.453 2020
    0.454 2020
    0.436 2020
    0.452 2018
    0.511 2019
    0.383 2019
    0.444 2019
    0.405 2020
    0.491 2019
    0.433 2020
    0.402 2019
    0.502 2019
    0.507 2020
    0.517 2021
    Source:[9] [10]

    Gini coefficient, after taxes and transfers

    Country Gini Year
    0.318 2020
    0.274 2019
    0.262 2019
    0.280 2020
    0.460 2017
    0.487 2021
    0.248 2019
    0.268 2019
    0.305 2019
    0.265 2020
    0.292 2019
    0.296 2019
    0.308 2019
    0.286 2019
    0.250 2017
    0.292 2018
    0.342 2019
    0.330 2018
    0.381 2021
    0.355 2020
    0.357 2019
    0.305 2019
    0.420 2020
    0.304 2020
    0.320 2020
    0.263 2020
    0.281 2018
    0.310 2019
    0.222 2019
    0.246 2019
    0.331 2020
    0.320 2019
    0.276 2020
    0.316 2019
    0.415 2019
    0.355 2020
    0.375 2021
    Source:[11] [12]

    See also

    Further reading

    External links

    Notes and References

    1. http://www.gler.it/gler_XV_1/Odoardi.pdf Underground economy and income inequality: two connected aspects in the oncoming context of Italian federalism
    2. http://ftp.iza.org/dp1431.pdf The Size of the Shadow Economies of 145 Countries all over the World: First Results over the Period 1999 to 2003
    3. Book: Monino . Jean-Louis . Data Development Mechanisms . Sedkaoui . Soraya . 2016-03-11 . Big Data, Open Data and Data Development . John Wiley & Sons, Inc. . 978-1-119-28519-9 . Hoboken, N.J. . 43–72 . 10.1002/9781119285199.ch3 . 2021-06-26.
    4. Web site: GINI index (World Bank estimate) . 4 April 2024 . World Bank.
    5. Web site: Gini Index coefficient - distribution of family income - The World Factbook . 2022-08-24 . www.cia.gov.
    6. Web site: Human Development Reports. UNDP . 2019-03-04.
    7. GINI Index for Montenegro. 18 January 2018.
    8. Web site: Statistics Eurostat . 2024-07-13. ec.europa.eu.
    9. Web site: Income Distribution Database. Organisation for Economic Co-operation and Development. OECD.org. December 23, 2022. Measure: Gini (market income, before taxes and transfers)
    10. Web site: Japan records its second-worst income disparity as society ages. The Asahi Shimbun. asahi.com. August 23, 2023. Measure: Gini (market income, before taxes and transfers)
    11. Web site: Income Distribution Database. Organisation for Economic Co-operation and Development. OECD.org. December 23, 2022. Measure: Gini (disposable income, post taxes and transfers)
    12. Web site: Japan records its second-worst income disparity as society ages. The Asahi Shimbun. asahi.com. August 23, 2023. Measure: Gini (market income, before taxes and transfers)