Income share held by highest 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 Namibia 51.80 2009
2 South Africa 51.30 2011
3 Botswana 49.60 2009
4 Central African Republic 46.20 2008
5 Zambia 44.40 2015
6 Rwanda 43.20 2013
7 Suriname 42.70 1999
8 Belize 42.40 1999
9 Guinea-Bissau 42.00 2010
10 Lesotho 40.90 2010
11 Brazil 40.50 2015
12 Swaziland 40.00 2009
13 Seychelles 39.90 2013
14 Mexico 39.70 2014
15 Colombia 39.60 2015
16 Panama 39.30 2015
17 Kenya 38.80 2005
18 Guatemala 38.40 2014
19 Chile 38.00 2015
20 Congo 37.90 2011
21 Honduras 37.80 2015
22 Benin 37.60 2015
23 Nicaragua 37.50 2014
23 Malawi 37.50 2010
25 Cabo Verde 37.10 2007
26 Paraguay 36.80 2015
26 Mozambique 36.80 2008
26 The Gambia 36.80 2003
29 Costa Rica 36.70 2015
30 Ecuador 35.80 2015
30 Jamaica 35.80 2004
32 Cameroon 35.00 2014
33 Malaysia 34.60 2009
33 Dominican Republic 34.60 2015
35 Venezuela 34.10 2006
35 Djibouti 34.10 2013
35 Samoa 34.10 2008
35 Guyana 34.10 1998
39 Zimbabwe 33.80 2011
40 Madagascar 33.50 2012
41 Peru 33.40 2015
41 Comoros 33.40 2013
41 Bolivia 33.40 2015
44 Gabon 33.20 2005
45 Morocco 33.10 2006
46 Uganda 32.90 2012
47 Nigeria 32.70 2009
48 St. Lucia 32.50 1995
49 Chad 32.40 2011
50 Angola 32.30 2008
51 Sri Lanka 32.20 2012
52 Côte d'Ivoire 32.10 2015
53 Dem. Rep. Congo 32.00 2012
53 El Salvador 32.00 2015
55 Indonesia 31.90 2013
56 Turkmenistan 31.70 1998
56 Myanmar 31.70 2015
58 Ghana 31.60 2012
58 Turkey 31.60 2014
58 Togo 31.60 2015
61 China 31.40 2012
62 Philippines 31.30 2015
62 Burundi 31.30 2013
64 Haiti 31.00 2012
64 Senegal 31.00 2011
64 Papua New Guinea 31.00 2009
64 Tanzania 31.00 2011
68 Uruguay 30.80 2015
68 Argentina 30.80 2014
70 Tuvalu 30.70 2010
70 Bhutan 30.70 2012
72 United States 30.20 2013
73 Trinidad and Tobago 29.90 1992
74 Lao PDR 29.80 2012
74 India 29.80 2011
74 Iran 29.80 2014
77 Russia 29.70 2015
78 Israel 29.60 2012
78 Burkina Faso 29.60 2014
80 Yemen 29.40 2014
80 Fiji 29.40 2013
82 Solomon Islands 29.30 2013
82 Kiribati 29.30 2006
84 Thailand 29.20 2013
85 Vanuatu 29.10 2010
86 Mauritius 29.00 2012
87 Tonga 28.90 2009
87 Georgia 28.90 2015
87 Lithuania 28.90 2014
90 Bulgaria 28.80 2014
90 Cyprus 28.80 2014
92 Syrian Arab Republic 28.70 2004
93 Uzbekistan 28.30 2003
94 Egypt 27.80 2015
95 Jordan 27.50 2010
96 Portugal 27.40 2014
96 Ethiopia 27.40 2010
98 Tunisia 27.00 2010
99 Bangladesh 26.90 2010
99 Sierra Leone 26.90 2011
101 Vietnam 26.80 2014
101 Niger 26.80 2014
103 Armenia 26.70 2015
103 Sudan 26.70 2009
105 Latvia 26.60 2014
106 Australia 26.50 2010
107 Guinea 26.40 2012
107 Nepal 26.40 2010
107 Tajikistan 26.40 2015
110 Estonia 26.20 2014
110 United Kingdom 26.20 2014
112 Greece 26.10 2014
113 Spain 26.00 2014
113 France 26.00 2014
113 Liberia 26.00 2014
113 Pakistan 26.00 2013
117 Bosnia and Herzegovina 25.80 2011
118 Mali 25.70 2009
118 Montenegro 25.70 2014
118 Azerbaijan 25.70 2008
121 Mongolia 25.50 2014
121 Italy 25.50 2014
121 Switzerland 25.50 2013
124 Canada 25.30 2013
125 Poland 25.20 2014
126 Macedonia 25.00 2015
126 Timor-Leste 25.00 2007
128 Germany 24.90 2013
128 Ireland 24.90 2014
130 Japan 24.80 2008
130 Mauritania 24.80 2014
130 Kyrgyz Republic 24.80 2015
130 Lebanon 24.80 2011
134 Luxembourg 24.30 2014
135 São Tomé and Principe 24.20 2010
136 Austria 24.10 2014
136 Croatia 24.10 2014
138 Hungary 24.00 2014
139 Korea 23.80 2012
140 Iraq 23.70 2012
140 Denmark 23.70 2014
142 Netherlands 23.30 2014
143 Algeria 22.90 2011
143 Albania 22.90 2012
143 Serbia 22.90 2013
146 Moldova 22.50 2015
147 Belgium 22.40 2014
148 Kazakhstan 22.30 2015
149 Belarus 22.20 2015
150 Czech Republic 22.10 2014
151 Finland 22.00 2014
152 Ukraine 21.60 2015
152 Norway 21.60 2014
152 Romania 21.60 2013
155 Sweden 21.50 2014
156 Iceland 21.30 2014
157 Slovenia 21.10 2014
158 Slovak Republic 20.30 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