Income share held by second 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 Algeria 13.70 2011
2 Egypt 12.80 2015
3 São Tomé and Principe 12.70 2010
4 Ethiopia 12.60 2010
5 Mauritania 12.40 2014
6 Guinea 12.20 2012
7 Liberia 12.10 2014
7 Mali 12.10 2009
9 Niger 11.90 2014
9 Sierra Leone 11.90 2011
11 Mauritius 11.80 2012
12 Burkina Faso 11.70 2014
13 Sudan 11.60 2009
13 Tunisia 11.60 2010
15 Tanzania 11.10 2011
16 Burundi 10.90 2013
17 Morocco 10.50 2006
18 Uganda 10.40 2012
18 Senegal 10.40 2011
20 Côte d'Ivoire 10.20 2015
21 Gabon 10.10 2005
22 Dem. Rep. Congo 10.00 2012
22 Madagascar 10.00 2012
24 Ghana 9.80 2012
24 Seychelles 9.80 2013
26 Chad 9.70 2011
26 Djibouti 9.70 2013
26 Nigeria 9.70 2009
29 Angola 9.60 2008
29 Benin 9.60 2015
31 Mozambique 9.50 2008
31 Togo 9.50 2015
31 Zimbabwe 9.50 2011
34 Comoros 9.30 2013
35 Malawi 9.20 2010
36 The Gambia 8.70 2003
36 Cabo Verde 8.70 2007
38 Kenya 8.60 2005
39 Cameroon 8.50 2014
40 Rwanda 8.40 2013
41 Guinea-Bissau 8.30 2010
42 Congo 8.20 2011
43 Swaziland 7.50 2009
44 Central African Republic 7.00 2008
45 Lesotho 6.80 2010
46 Zambia 6.00 2015
47 Namibia 5.70 2009
47 Botswana 5.70 2009
49 South Africa 4.70 2011

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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