Income share held by second 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

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Rank Country Value Year
1 Czech Republic 14.70 2015
2 Slovak Republic 14.60 2015
3 Slovenia 14.50 2015
4 Ukraine 14.40 2016
5 Belarus 14.20 2017
6 Moldova 14.10 2017
6 Norway 14.10 2015
8 Belgium 14.00 2015
8 Finland 14.00 2015
10 Denmark 13.90 2015
10 Netherlands 13.90 2015
10 Sweden 13.90 2015
10 Azerbaijan 13.90 2005
14 Iceland 13.80 2014
15 Kyrgyz Republic 13.70 2017
15 Algeria 13.70 2011
17 Kazakhstan 13.60 2017
18 Timor-Leste 13.40 2014
18 Malta 13.40 2015
20 Hungary 13.30 2015
21 Albania 13.20 2012
21 Austria 13.20 2015
23 Croatia 13.10 2015
23 Iraq 13.10 2012
25 Korea 13.00 2012
26 Germany 12.90 2015
26 Japan 12.90 2008
26 Ireland 12.90 2015
29 France 12.80 2015
29 Poland 12.80 2015
29 Egypt 12.80 2015
32 São Tomé and Principe 12.70 2010
32 Lebanon 12.70 2011
34 Estonia 12.50 2015
34 Switzerland 12.50 2015
36 Armenia 12.40 2017
36 Mongolia 12.40 2016
36 Mauritania 12.40 2014
36 Bangladesh 12.40 2016
40 Canada 12.30 2013
40 Tunisia 12.30 2015
40 Latvia 12.30 2015
40 Montenegro 12.30 2014
40 Bosnia and Herzegovina 12.30 2011
45 Pakistan 12.20 2015
45 United Kingdom 12.20 2015
45 Guinea 12.20 2012
48 Cyprus 12.10 2015
48 Italy 12.10 2015
48 Mali 12.10 2009
48 Nepal 12.10 2010
48 Ethiopia 12.10 2015
48 Jordan 12.10 2010
48 Luxembourg 12.10 2015
55 Uzbekistan 12.00 2003
55 Tajikistan 12.00 2015
55 Portugal 12.00 2015
55 Australia 12.00 2014
59 Sierra Leone 11.90 2011
59 Vietnam 11.90 2016
61 Niger 11.80 2014
61 Romania 11.80 2015
61 Bulgaria 11.80 2014
61 Greece 11.80 2015
65 India 11.70 2011
65 Sudan 11.70 2009
65 North Macedonia 11.70 2015
65 Burkina Faso 11.70 2014
65 Spain 11.70 2015
70 Liberia 11.60 2016
70 Kiribati 11.60 2006
70 Syrian Arab Republic 11.60 2004
70 The Gambia 11.60 2015
70 Lithuania 11.60 2015
75 Yemen 11.50 2014
75 Lao PDR 11.50 2012
77 Solomon Islands 11.40 2013
77 Tonga 11.40 2015
79 Fiji 11.30 2013
79 Myanmar 11.30 2015
81 Mauritius 11.20 2012
82 Samoa 11.10 2013
82 Russia 11.10 2015
82 Thailand 11.10 2017
82 Georgia 11.10 2017
82 Tanzania 11.10 2011
82 Vanuatu 11.10 2010
88 Serbia 11.00 2015
88 El Salvador 11.00 2017
88 Burundi 11.00 2013
91 Tuvalu 10.80 2010
91 Gabon 10.80 2017
91 Bhutan 10.80 2017
94 Indonesia 10.70 2017
94 Morocco 10.70 2013
94 Sri Lanka 10.70 2016
94 Israel 10.70 2016
98 China 10.60 2015
98 Uruguay 10.60 2017
100 Iran 10.50 2016
101 Djibouti 10.40 2017
102 Haiti 10.30 2012
102 Trinidad and Tobago 10.30 1992
102 Senegal 10.30 2011
102 Kenya 10.30 2015
106 Côte d'Ivoire 10.20 2015
106 United States 10.20 2016
108 Turkmenistan 10.10 1998
108 Malaysia 10.10 2015
110 Argentina 10.00 2017
110 Dem. Rep. Congo 10.00 2012
110 Madagascar 10.00 2012
110 Papua New Guinea 10.00 2009
114 Turkey 9.90 2016
115 Rwanda 9.80 2016
115 Uganda 9.80 2016
115 Malawi 9.80 2016
115 Seychelles 9.80 2013
119 Guyana 9.70 1998
119 Nigeria 9.70 2009
119 Chad 9.70 2011
119 Peru 9.70 2017
123 Angola 9.60 2008
123 Ghana 9.60 2016
123 Benin 9.60 2015
126 Zimbabwe 9.50 2011
126 Togo 9.50 2015
126 Bolivia 9.50 2017
129 Ecuador 9.40 2017
130 Philippines 9.30 2015
131 Jamaica 9.20 2004
131 Nicaragua 9.20 2014
131 Chile 9.20 2017
131 Venezuela 9.20 2006
135 Comoros 9.10 2013
136 Dominican Republic 9.00 2016
137 Mexico 8.80 2016
138 Cabo Verde 8.70 2007
139 Paraguay 8.60 2017
139 Guatemala 8.60 2014
141 Cameroon 8.50 2014
142 Costa Rica 8.40 2017
143 Colombia 8.30 2017
143 Guinea-Bissau 8.30 2010
145 Congo 8.20 2011
146 Panama 8.10 2017
147 St. Lucia 7.90 2016
148 Honduras 7.80 2017
149 Belize 7.70 1999
150 Mozambique 7.60 2014
151 Eswatini 7.50 2009
152 Brazil 7.40 2017
153 Central African Republic 7.00 2008
153 Botswana 7.00 2015
155 Lesotho 6.80 2010
156 Suriname 6.30 1999
157 Zambia 6.00 2015
158 Namibia 5.80 2015
159 South Africa 4.80 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