Income share held by lowest 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 Azerbaijan 4.80 2005
2 Armenia 4.40 2020
2 Belarus 4.40 2020
4 Kazakhstan 4.30 2018
4 Moldova 4.30 2019
4 Ukraine 4.30 2020
7 Slovenia 4.20 2019
7 Czech Republic 4.20 2019
7 Pakistan 4.20 2018
10 Kyrgyz Republic 4.00 2020
10 Kiribati 4.00 2019
10 United Arab Emirates 4.00 2018
10 Algeria 4.00 2011
10 Iceland 4.00 2017
10 Timor-Leste 4.00 2014
16 Myanmar 3.80 2017
16 Egypt 3.80 2017
16 Finland 3.80 2019
16 Denmark 3.80 2019
20 Bangladesh 3.70 2016
20 Iraq 3.70 2012
22 Belgium 3.60 2019
22 Slovak Republic 3.60 2019
22 Ireland 3.60 2018
25 Fiji 3.50 2019
25 Jordan 3.50 2010
25 Cyprus 3.50 2019
25 India 3.50 2011
25 Guinea 3.50 2018
25 Nepal 3.50 2010
31 Netherlands 3.40 2019
31 Norway 3.40 2019
31 Albania 3.40 2019
31 Sierra Leone 3.40 2018
35 Mongolia 3.30 2018
35 Guinea-Bissau 3.30 2018
37 Niger 3.20 2018
37 Sudan 3.20 2014
37 Poland 3.20 2018
37 Thailand 3.20 2020
37 France 3.20 2018
37 Tunisia 3.20 2015
43 Hungary 3.10 2019
43 Lebanon 3.10 2011
43 Russia 3.10 2020
43 Germany 3.10 2018
43 Mali 3.10 2018
43 Malta 3.10 2019
49 Nauru 3.00 2012
49 Sri Lanka 3.00 2016
49 The Gambia 3.00 2015
49 Croatia 3.00 2019
49 Estonia 3.00 2019
49 Yemen 3.00 2014
49 Senegal 3.00 2018
49 Mauritania 3.00 2014
49 Lao PDR 3.00 2018
49 Indonesia 3.00 2021
49 Vanuatu 3.00 2019
49 Tajikistan 3.00 2015
49 Syrian Arab Republic 3.00 2003
62 Chad 2.90 2018
62 Côte d'Ivoire 2.90 2018
62 Liberia 2.90 2016
62 Japan 2.90 2013
62 Nigeria 2.90 2018
62 Sweden 2.90 2019
62 Tanzania 2.90 2018
62 Uzbekistan 2.90 2003
62 Ethiopia 2.90 2015
62 Benin 2.90 2018
62 Bosnia and Herzegovina 2.90 2011
62 Switzerland 2.90 2018
62 Mauritius 2.90 2017
62 Malawi 2.90 2019
62 Austria 2.90 2019
77 Burundi 2.80 2013
77 Korea 2.80 2016
77 China 2.80 2019
77 Tonga 2.80 2015
77 Portugal 2.80 2019
77 Solomon Islands 2.80 2012
77 Luxembourg 2.80 2019
84 Morocco 2.70 2013
84 Georgia 2.70 2020
84 Samoa 2.70 2013
84 Canada 2.70 2017
84 Australia 2.70 2018
84 Bhutan 2.70 2017
84 Tuvalu 2.70 2010
91 Seychelles 2.60 2018
91 United Kingdom 2.60 2017
91 São Tomé and Principe 2.60 2017
91 Lithuania 2.60 2019
91 Latvia 2.60 2019
96 Greece 2.50 2019
96 Philippines 2.50 2018
96 Zimbabwe 2.50 2017
96 Vietnam 2.50 2018
100 Uganda 2.40 2019
100 Kenya 2.40 2015
100 Dominican Republic 2.40 2020
100 Rwanda 2.40 2016
100 El Salvador 2.40 2019
100 Turkmenistan 2.40 1998
106 Malaysia 2.30 2015
106 Iran 2.30 2019
106 Burkina Faso 2.30 2018
106 Togo 2.30 2018
110 Uruguay 2.20 2020
110 Gabon 2.20 2017
110 Cabo Verde 2.20 2015
110 Madagascar 2.20 2012
114 Chile 2.10 2020
114 Serbia 2.10 2019
114 Dem. Rep. Congo 2.10 2012
114 Jamaica 2.10 2004
114 Haiti 2.10 2012
114 Trinidad and Tobago 2.10 1992
120 Paraguay 2.00 2020
120 Turkey 2.00 2019
120 Nicaragua 2.00 2014
120 Spain 2.00 2019
120 North Macedonia 2.00 2018
125 Israel 1.90 2018
125 Italy 1.90 2018
125 Djibouti 1.90 2017
125 Papua New Guinea 1.90 2009
125 Bulgaria 1.90 2019
130 Mexico 1.80 2020
130 Montenegro 1.80 2018
130 United States 1.80 2019
133 Peru 1.70 2020
133 Romania 1.70 2019
133 Cameroon 1.70 2014
133 Lesotho 1.70 2017
133 Argentina 1.70 2020
133 Guatemala 1.70 2014
139 Comoros 1.60 2014
139 Brazil 1.60 2020
139 Congo 1.60 2011
139 Ghana 1.60 2016
139 Mozambique 1.60 2014
144 Bolivia 1.50 2020
144 Botswana 1.50 2015
146 Costa Rica 1.40 2020
146 Eswatini 1.40 2016
148 Ecuador 1.30 2020
148 Angola 1.30 2018
150 Central African Republic 1.20 2008
150 Panama 1.20 2019
150 Venezuela 1.20 2006
150 Honduras 1.20 2019
154 Guyana 1.10 1998
155 Namibia 1.00 2015
155 Zambia 1.00 2015
157 South Africa 0.90 2014
157 St. Lucia 0.90 2016
157 Belize 0.90 1999
160 Colombia 0.70 2020

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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