Stuffing data gaps with dollars: What will it cost to close the data deficit in poor countries?
We calculate a financing gap for data needs based on an analysis of existing survey coverage for three pillars of development data: the population census, living standard surveys, and health surveys. We find that, at least in the case of living standard surveys and health surveys, the global financing gap is trivially small—approximately $23 million a year. This points to other constraints beyond finance that stand in the way of complete data coverage.
[Read article in Brookings Institution website]
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