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poverty and inequality measurement

The ten richest Africans own as much as the poorest half of the continent

Christoph Lakner's picture
In January 2014, Oxfam released a widely-cited briefing paper which argued that the richest 85 people in the world owned more than the poorest half of the population in 2013 (Oxfam, 2014).[1] In this blog post I estimate this statistic for Africa. The blog builds on background research for an upcoming flagship report “The State of Poverty and Inequality in Africa” led by the World Bank’s Africa Chief Economist Office.

The ten richest Africans own as much as the poorest half of the continent

Christoph Lakner's picture
In January 2014, Oxfam released a widely-cited briefing paper which argued that the richest 85 people in the world owned more than the poorest half of the population in 2013 (Oxfam, 2014).[1] In this blog post I estimate this statistic for Africa. The blog builds on background research for an upcoming flagship report “The State of Poverty and Inequality in Africa” led by the World Bank’s Africa Chief Economist Office. I find that the ten richest Africans own more than the bottom half of the continent.

Measuring Poverty and Inequality in Sub-Saharan Africa: Knowledge Gaps and Ways to Address them

Stephan Klasen's picture
Local children sit on a boulder overlooking the Kenyan slum of Kibera @Gates Foundation
Local children sit on a boulder overlooking the Kenyan slum of Kibera
​@Gates Foundation 



Despite hundreds of millions spent on more and better household surveys across Africa in recent decades, we only have a very rough idea about the levels and trends in income poverty and inequality in sub-Saharan Africa.  Many reasons contribute to this unfortunate state of affairs.

"HAVEs" and "HAVE-nots": A Simple Global Poverty Target

Aart Kraay's picture

There has been much discussion around the World Bank on the choice of a "global poverty target" that can be used to measure global progress against poverty. To be successful, such a target needs to be (a) simple to understand, and (b) relevant to all World Bank client countries.

Robustly wrong? New methods for cleaning survey data on incomes: Guest post by Martin Ravallion

Survey responses to questions on incomes (and other potentially sensitive topics) are likely to contain errors, which could go in either direction and be found at all levels of income. There is probably also non-random selection in terms of who agrees to be interviewed, implying that we get the weights wrong too (as used to "gross-up" the sample estimates to the population).