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

Find indicator:
Rank Country Value Year
1 Azerbaijan 4.80 2005
2 Kazakhstan 4.30 2017
2 Kyrgyz Republic 4.30 2017
2 Ukraine 4.30 2016
2 Moldova 4.30 2017
6 Belarus 4.20 2017
7 Algeria 4.00 2011
7 Timor-Leste 4.00 2014
9 Iceland 3.90 2014
9 Finland 3.90 2015
9 Pakistan 3.90 2015
9 Egypt 3.90 2015
9 Slovenia 3.90 2015
9 Czech Republic 3.90 2015
15 Albania 3.70 2012
15 Bangladesh 3.70 2016
15 Iraq 3.70 2012
15 Denmark 3.70 2015
19 Burkina Faso 3.60 2014
20 Montenegro 3.50 2014
20 São Tomé and Principe 3.50 2010
20 India 3.50 2011
20 Jordan 3.50 2010
20 Malta 3.50 2015
20 Nepal 3.50 2010
20 Netherlands 3.50 2015
20 Norway 3.50 2015
20 Armenia 3.50 2017
29 Belgium 3.40 2015
30 Mongolia 3.30 2016
30 Sierra Leone 3.30 2011
30 Mali 3.30 2009
33 Switzerland 3.20 2015
33 Niger 3.20 2014
33 Lao PDR 3.20 2012
33 Tunisia 3.20 2015
33 Syrian Arab Republic 3.20 2004
33 Cyprus 3.20 2015
39 Slovak Republic 3.10 2015
39 France 3.10 2015
39 Ireland 3.10 2015
39 Germany 3.10 2015
39 Fiji 3.10 2013
39 Lebanon 3.10 2011
39 Tanzania 3.10 2011
46 Yemen 3.00 2014
46 Hungary 3.00 2015
46 Myanmar 3.00 2015
46 Austria 3.00 2015
46 Guinea 3.00 2012
46 The Gambia 3.00 2015
46 Mauritania 3.00 2014
46 Thailand 3.00 2017
46 Sweden 3.00 2015
46 Tajikistan 3.00 2015
56 Liberia 2.90 2016
56 United Kingdom 2.90 2015
56 Uzbekistan 2.90 2003
56 Indonesia 2.90 2017
56 Sri Lanka 2.90 2016
56 Ethiopia 2.90 2015
56 Bosnia and Herzegovina 2.90 2011
63 Burundi 2.80 2013
63 Luxembourg 2.80 2015
63 Russia 2.80 2015
63 Solomon Islands 2.80 2013
63 Mauritius 2.80 2012
63 Poland 2.80 2015
63 Tonga 2.80 2015
70 Japan 2.70 2008
70 Vanuatu 2.70 2010
70 Estonia 2.70 2015
70 Tuvalu 2.70 2010
70 Morocco 2.70 2013
70 Bhutan 2.70 2017
70 Croatia 2.70 2015
70 Samoa 2.70 2013
78 Kiribati 2.60 2006
78 China 2.60 2015
78 Turkmenistan 2.60 1998
78 Korea 2.60 2012
78 Vietnam 2.60 2016
78 Malawi 2.60 2016
78 Sudan 2.60 2009
85 Zimbabwe 2.50 2011
85 Latvia 2.50 2015
85 Uganda 2.50 2016
85 El Salvador 2.50 2017
89 Rwanda 2.40 2016
89 Portugal 2.40 2015
89 Australia 2.40 2014
89 Kenya 2.40 2015
89 Canada 2.40 2013
89 Iran 2.40 2016
95 Georgia 2.30 2017
95 Philippines 2.30 2015
95 Malaysia 2.30 2015
95 Senegal 2.30 2011
95 Uruguay 2.30 2017
100 Madagascar 2.20 2012
100 Gabon 2.20 2017
100 Turkey 2.20 2016
103 Haiti 2.10 2012
103 Angola 2.10 2008
103 Jamaica 2.10 2004
103 Dem. Rep. Congo 2.10 2012
103 Côte d'Ivoire 2.10 2015
103 Lithuania 2.10 2015
103 Trinidad and Tobago 2.10 1992
110 Nigeria 2.00 2009
110 Bulgaria 2.00 2014
110 Nicaragua 2.00 2014
110 Cabo Verde 2.00 2007
114 Papua New Guinea 1.90 2009
114 Togo 1.90 2015
114 Seychelles 1.90 2013
114 Djibouti 1.90 2017
114 Spain 1.90 2015
114 Greece 1.90 2015
114 Israel 1.90 2016
114 Chile 1.90 2017
122 Italy 1.80 2015
122 Mexico 1.80 2016
122 Chad 1.80 2011
122 Argentina 1.80 2017
122 Dominican Republic 1.80 2016
127 Romania 1.70 2015
127 North Macedonia 1.70 2015
127 Guatemala 1.70 2014
127 United States 1.70 2016
127 Cameroon 1.70 2014
127 Peru 1.70 2017
127 Paraguay 1.70 2017
134 Congo 1.60 2011
134 Ghana 1.60 2016
134 Comoros 1.60 2013
134 Ecuador 1.60 2017
134 Costa Rica 1.60 2017
134 Mozambique 1.60 2014
134 Guinea-Bissau 1.60 2010
141 Guyana 1.50 1998
141 Eswatini 1.50 2009
141 Botswana 1.50 2015
144 Colombia 1.40 2017
145 Serbia 1.30 2015
146 Central African Republic 1.20 2008
146 Bolivia 1.20 2017
148 Panama 1.10 2017
148 Honduras 1.10 2017
150 Benin 1.00 2015
150 Brazil 1.00 2017
150 Zambia 1.00 2015
150 Namibia 1.00 2015
154 St. Lucia 0.90 2016
154 Lesotho 0.90 2010
154 Belize 0.90 1999
154 South Africa 0.90 2014
158 Venezuela 0.50 2006

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

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