Income share held by third 20% - Country Ranking

Definition: Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.

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 Slovak Republic 19.00 2019
2 United Arab Emirates 18.30 2018
3 Slovenia 18.20 2019
4 Croatia 18.10 2019
4 North Macedonia 18.10 2018
6 Belarus 18.00 2020
7 Belgium 17.90 2019
7 Iceland 17.90 2017
9 Armenia 17.80 2020
10 Norway 17.70 2019
10 Hungary 17.70 2019
10 Romania 17.70 2019
13 Sweden 17.60 2019
13 Czech Republic 17.60 2019
13 Seychelles 17.60 2018
13 Ukraine 17.60 2020
17 Algeria 17.50 2011
17 Austria 17.50 2019
17 Moldova 17.50 2019
20 Poland 17.40 2018
20 Finland 17.40 2019
20 Korea 17.40 2016
20 Netherlands 17.40 2019
24 Guinea 17.30 2018
24 Denmark 17.30 2019
24 Spain 17.30 2019
27 Kiribati 17.20 2019
27 Greece 17.20 2019
27 Vanuatu 17.20 2019
30 Iraq 17.10 2012
30 Serbia 17.10 2019
30 Montenegro 17.10 2018
33 Italy 17.00 2018
33 Lebanon 17.00 2011
33 Germany 17.00 2018
33 Canada 17.00 2017
37 Estonia 16.90 2019
37 Kyrgyz Republic 16.90 2020
37 Malta 16.90 2019
37 Albania 16.90 2019
37 Mauritania 16.90 2014
37 Timor-Leste 16.90 2014
43 Fiji 16.80 2019
43 Kazakhstan 16.80 2018
43 Switzerland 16.80 2018
46 Bosnia and Herzegovina 16.70 2011
46 Cyprus 16.70 2019
46 Portugal 16.70 2019
46 France 16.70 2018
46 Georgia 16.70 2020
51 Japan 16.60 2013
51 Ireland 16.60 2018
51 Myanmar 16.60 2017
51 Azerbaijan 16.60 2005
55 United Kingdom 16.50 2017
55 Mongolia 16.50 2018
55 Luxembourg 16.50 2019
55 Israel 16.50 2018
55 Tunisia 16.50 2015
60 Tajikistan 16.40 2015
60 Australia 16.40 2018
60 Latvia 16.40 2019
60 Pakistan 16.40 2018
64 Ethiopia 16.30 2015
64 Vietnam 16.30 2018
66 Egypt 16.20 2017
66 Nepal 16.20 2010
66 Nigeria 16.20 2018
69 Lithuania 16.10 2019
69 Sudan 16.10 2014
69 Bangladesh 16.10 2016
72 Liberia 16.00 2016
73 Nauru 15.90 2012
74 Jordan 15.80 2010
74 Thailand 15.80 2020
74 Uzbekistan 15.80 2003
77 The Gambia 15.70 2015
77 Guinea-Bissau 15.70 2018
77 Gabon 15.70 2017
80 Russia 15.50 2020
80 Solomon Islands 15.50 2012
80 Mauritius 15.50 2017
80 Bhutan 15.50 2017
80 Trinidad and Tobago 15.50 1992
85 Côte d'Ivoire 15.40 2018
85 El Salvador 15.40 2019
87 Yemen 15.30 2014
87 Indonesia 15.30 2021
87 Sierra Leone 15.30 2018
87 Mali 15.30 2018
87 Uruguay 15.30 2020
92 United States 15.20 2019
92 Chad 15.20 2018
92 Haiti 15.20 2012
92 India 15.20 2011
92 Bulgaria 15.20 2019
92 China 15.20 2019
92 Tonga 15.20 2015
92 Papua New Guinea 15.20 2009
100 Djibouti 15.10 2017
100 Argentina 15.10 2020
102 Benin 15.00 2018
102 Syrian Arab Republic 15.00 2003
102 Burundi 15.00 2013
102 Niger 15.00 2018
102 Senegal 15.00 2018
107 Samoa 14.90 2013
107 Dominican Republic 14.90 2020
107 Malawi 14.90 2019
107 Tuvalu 14.90 2010
111 Ghana 14.80 2016
111 Malaysia 14.80 2015
113 Morocco 14.70 2013
113 Iran 14.70 2019
113 Lao PDR 14.70 2018
116 Peru 14.60 2020
116 Turkey 14.60 2019
116 Venezuela 14.60 2006
116 Sri Lanka 14.60 2016
116 Kenya 14.60 2015
116 São Tomé and Principe 14.60 2017
122 Guyana 14.50 1998
122 Dem. Rep. Congo 14.50 2012
122 Turkmenistan 14.50 1998
122 Bolivia 14.50 2020
126 Paraguay 14.40 2020
127 Cabo Verde 14.30 2015
128 Lesotho 14.20 2017
128 Tanzania 14.20 2018
128 Togo 14.20 2018
131 Madagascar 14.10 2012
131 Uganda 14.10 2019
133 Philippines 14.00 2018
134 Comoros 13.90 2014
135 Mexico 13.80 2020
136 Nicaragua 13.70 2014
136 Cameroon 13.70 2014
136 Honduras 13.70 2019
139 Rwanda 13.60 2016
139 Ecuador 13.60 2020
141 Chile 13.50 2020
142 Congo 13.20 2011
142 Panama 13.20 2019
142 Jamaica 13.20 2004
142 Guatemala 13.20 2014
142 Zimbabwe 13.20 2017
147 St. Lucia 13.00 2016
148 Brazil 12.90 2020
149 Costa Rica 12.60 2020
149 Angola 12.60 2018
151 Burkina Faso 12.20 2018
151 Suriname 12.20 1999
153 Belize 12.00 1999
154 Colombia 11.90 2020
155 Mozambique 11.20 2014
156 Botswana 11.10 2015
156 Central African Republic 11.10 2008
158 Eswatini 10.70 2016
159 Zambia 10.60 2015
160 Namibia 9.80 2015
161 South Africa 8.20 2014

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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