Income share held by second 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 15.40 2019
2 Slovenia 14.70 2019
3 Czech Republic 14.50 2019
3 Belarus 14.50 2020
5 Armenia 14.30 2020
5 Ukraine 14.30 2020
7 Iceland 14.20 2017
7 Belgium 14.20 2019
9 Norway 14.10 2019
9 Moldova 14.10 2019
11 Denmark 14.00 2019
12 Finland 13.90 2019
12 Azerbaijan 13.90 2005
14 United Arab Emirates 13.80 2018
14 Sweden 13.80 2019
16 Algeria 13.70 2011
16 Netherlands 13.70 2019
16 Croatia 13.70 2019
19 Kiribati 13.50 2019
19 Kazakhstan 13.50 2018
21 Hungary 13.40 2019
21 Timor-Leste 13.40 2014
23 Poland 13.30 2018
23 Austria 13.30 2019
25 Pakistan 13.10 2018
25 Malta 13.10 2019
25 Iraq 13.10 2012
25 Kyrgyz Republic 13.10 2020
25 Guinea 13.10 2018
25 Ireland 13.10 2018
31 Myanmar 13.00 2017
31 Korea 13.00 2016
33 Estonia 12.90 2019
33 Germany 12.90 2018
33 Fiji 12.90 2019
33 France 12.90 2018
37 Japan 12.80 2013
37 Portugal 12.80 2019
37 Cyprus 12.80 2019
37 Egypt 12.80 2017
41 Albania 12.70 2019
41 Lebanon 12.70 2011
43 Seychelles 12.60 2018
43 Greece 12.60 2019
45 Serbia 12.50 2019
46 Vanuatu 12.40 2019
46 Bangladesh 12.40 2016
46 Canada 12.40 2017
46 Switzerland 12.40 2018
46 Mauritania 12.40 2014
46 North Macedonia 12.40 2018
52 Tunisia 12.30 2015
52 Spain 12.30 2019
52 Bosnia and Herzegovina 12.30 2011
52 Mongolia 12.30 2018
56 Australia 12.20 2018
56 Italy 12.20 2018
56 Latvia 12.20 2019
59 Jordan 12.10 2010
59 Romania 12.10 2019
59 Sudan 12.10 2014
59 Nepal 12.10 2010
59 Ethiopia 12.10 2015
64 Tajikistan 12.00 2015
64 Lithuania 12.00 2019
64 Georgia 12.00 2020
64 Uzbekistan 12.00 2003
68 Vietnam 11.90 2018
68 Luxembourg 11.90 2019
68 Nauru 11.90 2012
71 United Kingdom 11.80 2017
72 India 11.70 2011
72 Sierra Leone 11.70 2018
74 Russia 11.60 2020
74 Nigeria 11.60 2018
74 Liberia 11.60 2016
74 Mauritius 11.60 2017
74 The Gambia 11.60 2015
74 Guinea-Bissau 11.60 2018
80 Montenegro 11.50 2018
80 Yemen 11.50 2014
80 Thailand 11.50 2020
83 Tonga 11.40 2015
83 Niger 11.40 2018
83 Solomon Islands 11.40 2012
86 Mali 11.20 2018
87 Benin 11.10 2018
87 Syrian Arab Republic 11.10 2003
87 Chad 11.10 2018
87 Samoa 11.10 2013
91 Indonesia 11.00 2021
91 Bulgaria 11.00 2019
91 Burundi 11.00 2013
91 Côte d'Ivoire 11.00 2018
91 Malawi 11.00 2019
96 Israel 10.90 2018
96 Senegal 10.90 2018
98 El Salvador 10.80 2019
98 Tuvalu 10.80 2010
98 Lao PDR 10.80 2018
98 Sri Lanka 10.80 2016
98 Bhutan 10.80 2017
98 Gabon 10.80 2017
104 China 10.70 2019
104 Morocco 10.70 2013
104 Dominican Republic 10.70 2020
107 Tanzania 10.50 2018
108 Djibouti 10.40 2017
108 São Tomé and Principe 10.40 2017
110 Uruguay 10.30 2020
110 Trinidad and Tobago 10.30 1992
110 Iran 10.30 2019
110 Haiti 10.30 2012
110 Kenya 10.30 2015
110 Turkmenistan 10.30 1998
116 United States 10.20 2019
117 Malaysia 10.10 2015
117 Turkey 10.10 2019
119 Papua New Guinea 10.00 2009
119 Uganda 10.00 2019
119 Madagascar 10.00 2012
119 Dem. Rep. Congo 10.00 2012
123 Philippines 9.90 2018
123 Togo 9.90 2018
125 Rwanda 9.80 2016
125 Bolivia 9.80 2020
125 Guyana 9.80 1998
128 Cabo Verde 9.70 2015
129 Ghana 9.60 2016
129 Paraguay 9.60 2020
129 Peru 9.60 2020
129 Venezuela 9.60 2006
133 Chile 9.50 2020
133 Argentina 9.50 2020
135 Mexico 9.30 2020
136 Jamaica 9.20 2004
136 Nicaragua 9.20 2014
138 Comoros 9.10 2014
138 Zimbabwe 9.10 2017
140 Ecuador 8.90 2020
140 Lesotho 8.90 2017
142 Brazil 8.70 2020
143 Guatemala 8.60 2014
143 Burkina Faso 8.60 2018
145 Cameroon 8.50 2014
146 Congo 8.20 2011
147 Costa Rica 8.10 2020
147 Panama 8.10 2019
149 Honduras 8.00 2019
150 St. Lucia 7.90 2016
151 Belize 7.70 1999
151 Angola 7.70 2018
153 Mozambique 7.60 2014
154 Colombia 7.40 2020
155 Botswana 7.00 2015
155 Central African Republic 7.00 2008
157 Eswatini 6.80 2016
158 Suriname 6.20 1999
159 Zambia 6.00 2015
160 Namibia 5.80 2015
161 South Africa 4.80 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