Income share held by highest 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 South Africa 68.90 2011
2 Namibia 66.40 2009
3 Botswana 65.00 2009
4 Zambia 61.30 2015
5 Central African Republic 60.80 2008
6 Suriname 60.20 1999
7 Lesotho 58.20 2010
8 Belize 57.70 1999
9 Rwanda 57.10 2013
10 Swaziland 56.70 2009
10 Guinea-Bissau 56.70 2010
12 Brazil 56.00 2015
13 Colombia 55.60 2015
14 Panama 55.50 2015
15 Mexico 54.50 2014
15 Honduras 54.50 2015
17 Kenya 54.10 2005
18 Guatemala 53.90 2014
19 Congo 53.70 2011
20 Chile 53.60 2015
20 Costa Rica 53.60 2015
22 Cabo Verde 53.30 2007
23 Seychelles 53.00 2013
23 Paraguay 53.00 2015
25 The Gambia 52.80 2003
26 Nicaragua 52.40 2014
26 Malawi 52.40 2010
28 Benin 52.10 2015
29 Ecuador 51.90 2015
30 Cameroon 51.60 2014
30 Jamaica 51.60 2004
32 Malaysia 51.40 2009
32 Mozambique 51.40 2008
34 Dominican Republic 50.80 2015
35 Venezuela 50.70 2006
36 Comoros 50.10 2013
37 Bolivia 50.00 2015
37 Djibouti 50.00 2013
39 Zimbabwe 49.70 2011
40 Guyana 49.60 1998
40 Peru 49.60 2015
42 Madagascar 49.40 2012
43 Samoa 49.20 2008
44 Nigeria 49.00 2009
45 Chad 48.80 2011
46 Gabon 48.70 2005
47 Togo 48.60 2015
48 Angola 48.50 2008
49 Dem. Rep. Congo 48.40 2012
50 St. Lucia 48.30 1995
50 Uganda 48.30 2012
52 Ghana 48.20 2012
53 Morocco 48.00 2006
53 Côte d'Ivoire 48.00 2015
55 China 47.90 2012
56 Argentina 47.80 2014
57 Turkey 47.70 2014
58 Turkmenistan 47.50 1998
59 El Salvador 47.40 2015
59 Indonesia 47.40 2013
61 Papua New Guinea 47.30 2009
61 Philippines 47.30 2015
63 Uruguay 47.20 2015
64 Sri Lanka 47.00 2012
65 Haiti 46.90 2012
65 Senegal 46.90 2011
67 Burundi 46.70 2013
68 Tuvalu 46.40 2010
68 United States 46.40 2013
70 Israel 46.00 2012
70 Bhutan 46.00 2012
72 Trinidad and Tobago 45.90 1992
73 Tanzania 45.80 2011
74 Iran 45.70 2014
74 Myanmar 45.70 2015
76 Russia 45.30 2015
77 Thailand 45.10 2013
78 Georgia 44.80 2015
79 Yemen 44.70 2014
80 Lao PDR 44.60 2012
80 Solomon Islands 44.60 2013
82 Vanuatu 44.50 2010
82 Tonga 44.50 2009
84 Fiji 44.40 2013
85 Burkina Faso 44.30 2014
86 Lithuania 44.10 2014
87 Syrian Arab Republic 44.00 2004
87 India 44.00 2011
87 Kiribati 44.00 2006
90 Bulgaria 43.90 2014
90 Mauritius 43.90 2012
92 Cyprus 43.60 2014
93 Uzbekistan 43.40 2003
94 Tunisia 42.90 2010
95 Portugal 42.60 2014
96 Sierra Leone 42.40 2011
96 Jordan 42.40 2010
96 Sudan 42.40 2009
99 Niger 42.20 2014
99 Vietnam 42.20 2014
99 Latvia 42.20 2014
102 Estonia 42.10 2014
103 Australia 42.00 2010
104 Spain 41.90 2014
105 Greece 41.80 2014
106 Ethiopia 41.70 2010
106 Tajikistan 41.70 2015
108 Bangladesh 41.50 2010
108 Egypt 41.50 2015
108 Nepal 41.50 2010
108 Guinea 41.50 2012
112 Liberia 41.30 2014
112 Bosnia and Herzegovina 41.30 2011
112 Mali 41.30 2009
112 United Kingdom 41.30 2014
116 Macedonia 41.00 2015
116 Italy 41.00 2014
118 Canada 40.80 2013
119 Armenia 40.70 2015
120 Azerbaijan 40.50 2008
120 Switzerland 40.50 2013
120 Montenegro 40.50 2014
120 France 40.50 2014
124 Pakistan 40.30 2013
124 Mongolia 40.30 2014
126 Poland 40.20 2014
127 Ireland 40.10 2014
128 Lebanon 40.00 2011
128 Mauritania 40.00 2014
130 Timor-Leste 39.80 2007
130 Germany 39.80 2013
132 Japan 39.70 2008
133 São Tomé and Principe 39.50 2010
134 Croatia 39.20 2014
135 Luxembourg 39.10 2014
136 Korea 39.00 2012
137 Kyrgyz Republic 38.80 2015
138 Austria 38.70 2014
138 Hungary 38.70 2014
140 Iraq 38.50 2012
141 Denmark 37.90 2014
142 Serbia 37.80 2013
142 Albania 37.80 2012
144 Netherlands 37.70 2014
145 Algeria 37.20 2011
146 Moldova 36.90 2015
147 Belgium 36.80 2014
148 Kazakhstan 36.60 2015
149 Belarus 36.40 2015
149 Romania 36.40 2013
149 Finland 36.40 2014
152 Sweden 36.30 2014
153 Czech Republic 36.00 2014
154 Norway 35.90 2014
155 Ukraine 35.60 2015
156 Slovenia 35.40 2014
157 Iceland 35.30 2014
158 Slovak Republic 34.50 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