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africa statistics

Evidence based policy or policy based evidence? Supply and demand for data in a donor dominant world

Humanity Journal's picture

This post, by Morten Jerven, is a contribution to an online symposium on the changing nature of knowledge production in fragile states. Be sure to read other entries by Deval Desai and Rebecca TapscottLisa Denney and Pilar Domingo, and Michael Woolcock.

Patients seeking treatment at Redemption Hospital in Monrovia, In 2010 I was doing research for Poor Numbers: How we are misled by African development statistics and what to do about it. I was In Lusaka, Zambia on a Wednesday afternoon, and was having a free and frank conversation with a specialist working for the UK’s Department for International Development (DfID) office there as part of the ethnographic component of my book. One of the themes we kept returning to was the problem that donors demanded evidence that was not necessarily relevant for Zambian policy makers. We were also discussing how results-oriented MDG reporting had created real outside pressure to distort statistics, with donors having the final say on what gets measured, when and how. Indeed, whenever I asked anyone in Zambia—and elsewhere in sub-Saharan Africa—“what do we know about economic growth?,” a recurring issue was how resources were diverted from domestic economic statistics to MDG-relevant statistics.

Two days later I was sitting in the Central Statistical Office in Lusaka, talking to the then only remaining member of the economic statistics division. In 2007, this division was manned by three statisticians, but when I returned in 2010, there was only one person there. The other two had been pulled from economic statistics to social and demographic statistics where there was more donor money for per diem payments. The phone rang. DfID Lusaka was on the other end. They had a problem. They had financed a report on social statistics, but the office statistician tasked with completing the report had recently travelled to Japan to participate in a generously funded training course, leaving the report incomplete. Could someone help out? And so it was that the last remaining economic statistician for the Zambian government temporarily left the office to come to the rescue.

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.

Yes, Africa can end poverty…but will we know when it happens?

Waly Wane's picture

Today poverty data are available for almost all countries in the world1.  Because a country’s success is measured by the number of people it lifts out of poverty, identifying best performers is a fair exercise only if poverty indicators are fully comparable. One indicator used is the share of the population whose consumption (or income) level is below a nationally defined poverty line or the US 1.25 dollar PPP per day. But even if policy makers and other stakeholders can count on readily available statistics, the poverty numbers should not be taken at face value.

Data are useful if they give us a sense of reality

Poverty data are based on a set of arbitrary assumptions that may lead to erroneous conclusions.

Africa’s statistical tragedy

Shanta Devarajan's picture

Fifteen years ago, Easterly and Levine published “Africa’s Growth Tragedy”, highlighting the disappointing performance of Africa’s growth, and the toll it has taken on the poor. Since then, growth has picked up, averaging 5-6 percent a year, and poverty is declining at about one percentage point a year. The “statistical tragedy” is that we cannot be sure this is true.

Take economic growth, which is measured in terms of growth in GDP.  GDP in turn is measured by national accounts.  While there has been some progress, today, only 35 percent of Africa’s population lives in countries that use the 1993 UN System of National Accounts; the others use earlier systems, some dating back to the 1960s. 

To show that this is not an arcane point, consider the case of Ghana, which decided to update its GDP last year to the 1993 system.  When they did so, they found that their GDP was 62 percent higher than previously thought.  Ghana’s per capita GDP is now over $1,000, making it a middle-income country.