Income share held by highest 10% - Country Ranking

Definition: Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.

Source: World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

See also: Thematic map, Time series comparison

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Rank Country Value Year
1 South Africa 50.50 2014
2 Namibia 47.30 2015
3 Central African Republic 46.20 2008
4 Mozambique 45.50 2014
5 Zambia 44.40 2015
6 Eswatini 42.70 2016
7 Belize 42.40 1999
8 Colombia 42.20 2020
9 Suriname 42.10 1999
10 Botswana 41.50 2015
11 Angola 39.60 2018
12 Brazil 39.40 2020
13 St. Lucia 38.60 2016
14 Guatemala 38.10 2014
15 Panama 38.00 2019
16 Congo 37.90 2011
17 Burkina Faso 37.50 2018
18 Nicaragua 37.20 2014
19 Costa Rica 37.00 2020
20 Ecuador 36.00 2020
21 Jamaica 35.80 2004
21 Chile 35.80 2020
23 Rwanda 35.60 2016
24 Mexico 35.50 2020
25 Cameroon 35.00 2014
26 Zimbabwe 34.80 2017
27 Honduras 34.60 2019
28 Uganda 34.50 2019
29 Guyana 34.40 1998
30 Comoros 33.70 2014
31 Philippines 33.50 2018
31 Madagascar 33.50 2012
33 Paraguay 33.30 2020
34 Venezuela 33.20 2006
35 Tanzania 33.10 2018
36 Peru 32.90 2020
36 São Tomé and Principe 32.90 2017
36 Togo 32.90 2018
36 Lesotho 32.90 2017
40 Bolivia 32.60 2020
40 Sri Lanka 32.60 2016
42 Cabo Verde 32.30 2015
42 Djibouti 32.30 2017
44 Ghana 32.20 2016
45 Dem. Rep. Congo 32.00 2012
46 Morocco 31.90 2013
47 Iran 31.70 2019
48 Kenya 31.60 2015
48 Turkey 31.60 2019
50 Turkmenistan 31.50 1998
51 Bulgaria 31.40 2019
52 Malaysia 31.30 2015
52 Samoa 31.30 2013
54 Lao PDR 31.20 2018
54 Haiti 31.20 2012
56 Niger 31.10 2018
57 Papua New Guinea 31.00 2009
57 Malawi 31.00 2019
57 Burundi 31.00 2013
60 United States 30.80 2019
60 Tuvalu 30.80 2010
62 Senegal 30.50 2018
62 Dominican Republic 30.50 2020
64 Argentina 30.30 2020
65 India 30.10 2011
66 Benin 29.90 2018
66 Mauritius 29.90 2017
66 Trinidad and Tobago 29.90 1992
66 Syrian Arab Republic 29.90 2003
66 Uruguay 29.90 2020
71 El Salvador 29.80 2019
72 Chad 29.70 2018
72 Tonga 29.70 2015
74 Indonesia 29.60 2021
75 China 29.50 2019
76 Sierra Leone 29.40 2018
76 Yemen 29.40 2014
78 Solomon Islands 29.20 2012
79 Russia 29.00 2020
79 Côte d'Ivoire 29.00 2018
81 The Gambia 28.70 2015
82 Ethiopia 28.50 2015
83 Uzbekistan 28.30 2003
84 Mali 28.20 2018
85 Bhutan 27.90 2017
86 Sudan 27.80 2014
87 Gabon 27.70 2017
88 Guinea-Bissau 27.60 2018
88 Israel 27.60 2018
90 Jordan 27.50 2010
90 Lithuania 27.50 2019
90 Vietnam 27.50 2018
93 Nauru 27.30 2012
94 Liberia 27.10 2016
95 Thailand 27.00 2020
96 Egypt 26.90 2017
97 Bangladesh 26.80 2016
98 United Kingdom 26.70 2017
98 France 26.70 2018
98 Nigeria 26.70 2018
101 Latvia 26.60 2019
101 Australia 26.60 2018
103 Nepal 26.40 2010
103 Japan 26.40 2013
103 Tajikistan 26.40 2015
106 Georgia 26.20 2020
107 Montenegro 26.00 2018
107 Portugal 26.00 2019
107 Serbia 26.00 2019
110 Italy 25.90 2018
111 Luxembourg 25.80 2019
111 Switzerland 25.80 2018
113 Mongolia 25.70 2018
114 Tunisia 25.60 2015
115 Myanmar 25.50 2017
115 Pakistan 25.50 2018
115 Cyprus 25.50 2019
118 Canada 25.30 2017
119 Bosnia and Herzegovina 25.10 2011
119 Germany 25.10 2018
119 Ireland 25.10 2018
122 Spain 24.90 2019
122 Mauritania 24.90 2014
122 Greece 24.90 2019
125 Malta 24.80 2019
125 Lebanon 24.80 2011
127 Vanuatu 24.70 2019
128 Romania 24.50 2019
129 Fiji 24.20 2019
129 Azerbaijan 24.20 2005
131 Korea 24.00 2016
131 Kyrgyz Republic 24.00 2020
131 Poland 24.00 2018
131 Timor-Leste 24.00 2014
135 Seychelles 23.90 2018
135 Netherlands 23.90 2019
137 Albania 23.80 2019
138 Iraq 23.70 2012
139 Denmark 23.50 2019
140 Kazakhstan 23.40 2018
141 Hungary 23.30 2019
141 Estonia 23.30 2019
143 Austria 23.20 2019
144 Guinea 23.10 2018
145 Finland 23.00 2019
145 North Macedonia 23.00 2018
147 Algeria 22.90 2011
147 Kiribati 22.90 2019
149 Sweden 22.70 2019
150 Norway 22.40 2019
151 Belgium 22.30 2019
152 Croatia 22.20 2019
153 Iceland 22.10 2017
154 Moldova 22.00 2019
155 Ukraine 21.80 2020
156 Armenia 21.50 2020
156 Czech Republic 21.50 2019
158 Belarus 20.70 2020
158 Slovenia 20.70 2019
160 United Arab Emirates 20.00 2018
161 Slovak Republic 18.80 2019

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Development Relevance: The World Bank Group’s goal of promoting shared prosperity has been defined as fostering income growth of the bottom 40 per cent of the welfare distribution in every country. Income distribution data and the Gini coefficient measure inequality in income or consumption and important indicators for measuring shared prosperity.

Limitations and Exceptions: Despite progress in the last decade, the challenges of measuring poverty remain. The timeliness, frequency, quality, and comparability of household surveys need to increase substantially, particularly in the poorest countries. The availability and quality of poverty monitoring data remains low in small states, countries with fragile situations, and low-income countries and even some middle-income countries. The low frequency and lack of comparability of the data available in some countries create uncertainty over the magnitude of poverty reduction. Besides the frequency and timeliness of survey data, other data quality issues arise in measuring household living standards. The surveys ask detailed questions on sources of income and how it was spent, which must be carefully recorded by trained personnel. Income is generally more difficult to measure accurately, and consumption comes closer to the notion of living standards. And income can vary over time even if living standards do not. But consumption data are not always available: the latest estimates reported here use consumption data for about two-thirds of countries. However, even similar surveys may not be strictly comparable because of differences in timing or in the quality and training of enumerators. Comparisons of countries at different levels of development also pose a potential problem because of differences in the relative importance of the consumption of nonmarket goods. The local market value of all consumption in kind (including own production, particularly important in underdeveloped rural economies) should be included in total consumption expenditure but may not be. Most survey data now include valuations for consumption or income from own production, but valuation methods vary.

Statistical Concept and Methodology: Inequality in the distribution of income is reflected in the share of income or consumption accruing to a portion of the population ranked by income or consumption levels. The portions ranked lowest by personal income receive the smallest shares of total income. Data on the distribution of income or consumption come from nationally representative household surveys. Where the original data from the household survey were available, they have been used to directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year is the year in which the underlying household survey data were collected or, when the data collection period bridged two calendar years, the year in which most of the data were collected. Percentage shares by quintile may not sum to 100 because of rounding.

Unit of Measure: %

Periodicity: Annual

General Comments: The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (indu