Income share held by third 20% - Country Ranking - Africa

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 Seychelles 17.60 2018
2 Algeria 17.50 2011
3 Guinea 17.30 2018
4 Mauritania 16.90 2014
5 Tunisia 16.50 2015
6 Ethiopia 16.30 2015
7 Egypt 16.20 2017
7 Nigeria 16.20 2018
9 Sudan 16.10 2014
10 Liberia 16.00 2016
11 The Gambia 15.70 2015
11 Guinea-Bissau 15.70 2018
11 Gabon 15.70 2017
14 Mauritius 15.50 2017
15 Côte d'Ivoire 15.40 2018
16 Mali 15.30 2018
16 Sierra Leone 15.30 2018
18 Chad 15.20 2018
19 Djibouti 15.10 2017
20 Burundi 15.00 2013
20 Benin 15.00 2018
20 Niger 15.00 2018
20 Senegal 15.00 2018
24 Malawi 14.90 2019
25 Ghana 14.80 2016
26 Morocco 14.70 2013
27 Kenya 14.60 2015
27 São Tomé and Principe 14.60 2017
29 Dem. Rep. Congo 14.50 2012
30 Cabo Verde 14.30 2015
31 Lesotho 14.20 2017
31 Tanzania 14.20 2018
31 Togo 14.20 2018
34 Uganda 14.10 2019
34 Madagascar 14.10 2012
36 Comoros 13.90 2014
37 Cameroon 13.70 2014
38 Rwanda 13.60 2016
39 Congo 13.20 2011
39 Zimbabwe 13.20 2017
41 Angola 12.60 2018
42 Burkina Faso 12.20 2018
43 Mozambique 11.20 2014
44 Botswana 11.10 2015
44 Central African Republic 11.10 2008
46 Eswatini 10.70 2016
47 Zambia 10.60 2015
48 Namibia 9.80 2015
49 South Africa 8.20 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