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 more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Azerbaijan 6.10 2005
2 Ukraine 4.39 2013
3 Kazakhstan 4.30 2013
4 Pakistan 4.21 2010
5 Belarus 4.05 2012
6 Kyrgyz Republic 4.02 2012
7 Burundi 4.01 2006
8 Egypt 3.96 2008
9 Cambodia 3.93 2012
10 Moldova 3.88 2013
10 Timor-Leste 3.88 2007
12 Bangladesh 3.87 2010
12 Czech Republic 3.87 2012
14 Finland 3.85 2012
15 Niger 3.80 2011
16 Slovenia 3.72 2012
17 Iraq 3.68 2012
18 Iceland 3.67 2012
19 Romania 3.66 2012
19 Albania 3.66 2012
21 Norway 3.63 2012
22 Armenia 3.53 2013
23 India 3.52 2011
24 Nepal 3.51 2010
25 São Tomé and Principe 3.50 2010
26 Jordan 3.45 2010
27 Tajikistan 3.42 2009
28 Netherlands 3.41 2012
29 Serbia 3.37 2010
30 Germany 3.36 2011
30 Indonesia 3.36 2010
32 Mali 3.32 2009
33 Poland 3.31 2012
34 Cyprus 3.29 2012
34 Belgium 3.29 2012
34 Switzerland 3.29 2012
37 Yemen 3.28 2005
38 Sierra Leone 3.26 2011
39 Syrian Arab Republic 3.20 2004
40 Ethiopia 3.18 2010
41 Sweden 3.17 2012
42 Mongolia 3.15 2012
43 Slovak Republic 3.13 2012
44 Tanzania 3.09 2011
45 France 3.07 2012
46 Ireland 3.05 2012
47 Sri Lanka 3.04 2012
48 Guinea 3.03 2012
49 Lao PDR 3.01 2012
50 Bosnia and Herzegovina 3.00 2007
51 Hungary 2.99 2012
52 Mauritius 2.98 2012
53 United Kingdom 2.94 2012
54 Uzbekistan 2.88 2003
55 Algeria 2.87 1995
56 Iran 2.85 2013
57 Austria 2.84 2012
57 Denmark 2.84 2012
59 Bhutan 2.77 2012
60 Thailand 2.76 2012
61 Burkina Faso 2.73 2009
62 Luxembourg 2.72 2012
63 Vanuatu 2.69 2010
64 Canada 2.68 2010
64 Japan 2.68 2008
66 Sudan 2.64 2009
66 Morocco 2.64 2007
68 Montenegro 2.63 2013
69 Tonga 2.62 2009
69 Samoa 2.62 2008
71 Tunisia 2.60 2010
72 Vietnam 2.59 2012
73 Madagascar 2.58 2010
73 Australia 2.58 2010
75 Turkmenistan 2.57 1998
76 Croatia 2.48 2011
77 Estonia 2.47 2012
78 Benin 2.46 2011
78 Mauritania 2.46 2008
78 Cameroon 2.46 2007
81 Fiji 2.45 2008
81 Philippines 2.45 2012
83 Uganda 2.39 2012
84 Liberia 2.37 2007
85 Seychelles 2.35 2006
86 Lithuania 2.33 2012
87 Senegal 2.30 2011
88 Russia 2.28 2012
89 Gabon 2.27 2005
90 Kiribati 2.22 2006
91 Portugal 2.21 2012
92 Latvia 2.19 2012
92 Turkey 2.19 2012
94 Congo 2.18 2011
95 Malawi 2.17 2010
96 El Salvador 2.11 2013
97 Dem. Rep. Congo 2.09 2012
97 Georgia 2.09 2013
99 Macedonia 2.08 2008
100 Angola 2.07 2008
100 Rwanda 2.07 2010
100 Trinidad and Tobago 2.07 1992
103 Jamaica 2.06 2004
104 Nigeria 2.04 2009
105 St. Lucia 2.01 1995
106 Bulgaria 2.00 2012
107 Cabo Verde 1.95 2007
108 Mozambique 1.94 2008
109 Italy 1.92 2012
110 Togo 1.91 2011
111 Ghana 1.90 2005
111 Dominican Republic 1.90 2013
111 Uruguay 1.90 2013
114 Solomon Islands 1.85 2005
114 Mexico 1.85 2012
116 Côte d'Ivoire 1.84 2008
117 The Gambia 1.79 2003
118 Chad 1.78 2011
119 Malaysia 1.75 2009
120 Greece 1.74 2012
121 Chile 1.72 2013
122 Papua New Guinea 1.71 2009
122 Kenya 1.71 2005
124 United States 1.70 2013
124 Spain 1.70 2012
126 China 1.69 2010
126 Israel 1.69 2010
128 Guinea-Bissau 1.63 2010
129 Nicaragua 1.61 2009
130 Argentina 1.60 2013
131 Ecuador 1.59 2013
132 Peru 1.54 2013
132 Guyana 1.54 1998
132 Comoros 1.54 2004
135 Paraguay 1.50 2013
136 Zambia 1.49 2010
137 Swaziland 1.48 2009
138 Costa Rica 1.45 2013
139 Guatemala 1.34 2011
140 Namibia 1.27 2009
141 Djibouti 1.26 2012
142 Central African Republic 1.21 2008
143 Panama 1.14 2013
144 Colombia 1.09 2013
145 Botswana 1.05 2009
146 Honduras 0.98 2013
147 Brazil 0.97 2013
148 South Africa 0.94 2011
149 Belize 0.93 1999
150 Bolivia 0.92 2013
151 Lesotho 0.90 2010
152 Haiti 0.55 2012
153 Venezuela 0.53 2006

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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: The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand household surveys across 128 developing countries and 21 high income countries (as defined in 1990). While income distribution data are published for all countries with data available, poverty data are published for developing countries only. 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.

Periodicity: Annual