Income share held by lowest 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

Find indicator:
Rank Country Value Year
1 Ukraine 10.00 2015
1 Kazakhstan 10.00 2015
3 Czech Republic 9.70 2014
3 Iceland 9.70 2014
3 Moldova 9.70 2015
6 Kyrgyz Republic 9.50 2015
6 Belarus 9.50 2015
8 Algeria 9.40 2011
8 Finland 9.40 2014
8 Slovenia 9.40 2014
11 Pakistan 9.20 2013
12 Timor-Leste 9.10 2007
12 Denmark 9.10 2014
12 Egypt 9.10 2015
12 Norway 9.10 2014
16 Sweden 9.00 2014
17 Romania 8.90 2013
17 Bangladesh 8.90 2010
17 Albania 8.90 2012
20 Iraq 8.80 2012
20 Netherlands 8.80 2014
22 Belgium 8.60 2014
22 Serbia 8.60 2013
24 Montenegro 8.50 2014
25 Azerbaijan 8.40 2008
25 São Tomé and Principe 8.40 2010
25 Slovak Republic 8.40 2014
28 India 8.30 2011
28 Nepal 8.30 2010
28 Burkina Faso 8.30 2014
31 Armenia 8.20 2015
31 Jordan 8.20 2010
33 Germany 8.10 2013
33 Mongolia 8.10 2014
33 Austria 8.10 2014
36 Mali 8.00 2009
36 France 8.00 2014
36 Poland 8.00 2014
36 Ethiopia 8.00 2010
40 Ireland 7.90 2014
40 Sierra Leone 7.90 2011
40 Luxembourg 7.90 2014
40 Switzerland 7.90 2013
44 Liberia 7.80 2014
44 Niger 7.80 2014
44 Lebanon 7.80 2011
47 Syrian Arab Republic 7.70 2004
48 Cyprus 7.60 2014
48 Guinea 7.60 2012
48 Hungary 7.60 2014
48 Mauritania 7.60 2014
48 Lao PDR 7.60 2012
48 Fiji 7.60 2013
54 Mauritius 7.40 2012
54 Uzbekistan 7.40 2003
54 Tanzania 7.40 2011
54 Japan 7.40 2008
54 Tajikistan 7.40 2015
59 Australia 7.30 2010
59 Yemen 7.30 2014
59 United Kingdom 7.30 2014
59 Myanmar 7.30 2015
59 Korea 7.30 2012
59 Bosnia and Herzegovina 7.30 2011
65 Indonesia 7.20 2013
66 Vietnam 7.10 2014
66 Croatia 7.10 2014
66 Sri Lanka 7.10 2012
69 Estonia 7.00 2014
69 Solomon Islands 7.00 2013
71 Russia 6.90 2015
71 Thailand 6.90 2013
73 Sudan 6.80 2009
73 Vanuatu 6.80 2010
75 Tonga 6.70 2009
75 Tunisia 6.70 2010
75 Bhutan 6.70 2012
78 Latvia 6.60 2014
78 Kiribati 6.60 2006
78 Philippines 6.60 2015
78 Burundi 6.60 2013
78 Tuvalu 6.60 2010
78 Canada 6.60 2013
84 Portugal 6.50 2014
84 Morocco 6.50 2006
86 Uganda 6.40 2012
86 Samoa 6.40 2008
88 Iran 6.30 2014
89 Italy 6.20 2014
90 Georgia 6.10 2015
90 Turkmenistan 6.10 1998
90 Senegal 6.10 2011
90 El Salvador 6.10 2015
94 Lithuania 6.00 2014
94 Bulgaria 6.00 2014
96 Greece 5.90 2014
97 Gabon 5.80 2005
97 Zimbabwe 5.80 2011
97 Turkey 5.80 2014
100 Madagascar 5.70 2012
100 Spain 5.70 2014
100 Côte d'Ivoire 5.70 2015
103 Haiti 5.60 2012
103 Macedonia 5.60 2015
105 Trinidad and Tobago 5.50 1992
105 Dem. Rep. Congo 5.50 2012
107 Malawi 5.40 2010
107 Seychelles 5.40 2013
107 Ghana 5.40 2012
107 Nigeria 5.40 2009
107 Angola 5.40 2008
112 Jamaica 5.30 2004
113 Rwanda 5.20 2013
113 China 5.20 2012
113 Mozambique 5.20 2008
113 St. Lucia 5.20 1995
117 Papua New Guinea 5.10 2009
117 Dominican Republic 5.10 2015
117 Mexico 5.10 2014
117 Uruguay 5.10 2015
117 United States 5.10 2013
122 Togo 5.00 2015
122 Nicaragua 5.00 2014
122 Cabo Verde 5.00 2007
125 Djibouti 4.90 2013
125 Chad 4.90 2011
127 The Gambia 4.80 2003
127 Argentina 4.80 2014
127 Chile 4.80 2015
130 Israel 4.70 2012
130 Kenya 4.70 2005
132 Peru 4.60 2015
132 Malaysia 4.60 2009
134 Guyana 4.50 1998
134 Cameroon 4.50 2014
134 Ecuador 4.50 2015
134 Comoros 4.50 2013
134 Guinea-Bissau 4.50 2010
139 Guatemala 4.40 2014
140 Costa Rica 4.30 2015
141 Congo 4.20 2011
142 Paraguay 4.10 2015
143 Swaziland 4.00 2009
144 Bolivia 3.80 2015
145 Brazil 3.60 2015
145 Colombia 3.60 2015
145 Honduras 3.60 2015
148 Panama 3.50 2015
149 Central African Republic 3.30 2008
149 Namibia 3.30 2009
151 Benin 3.20 2015
151 Venezuela 3.20 2006
151 Belize 3.20 1999
154 Zambia 2.90 2015
155 Lesotho 2.80 2010
155 Botswana 2.80 2009
157 South Africa 2.50 2011
158 Suriname 1.00 1999

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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