Stuffed and Unstuffed: A Comment on Chandy & Zhang

Recently published estimates by Brookings Institution researchers Laurence Chandy and Christine Zhang of the funding needed to produce indicators for monitoring SDGs appears to demonstrate that other cost assessments are far too high. But the analysis leaves out elements and runs the risk of creating complacency over the need for serious, continuing investments in the statistical capacity of developing countries.

Many Questions, Many Answers

Two questions — “What is the data revolution?” and “How is it affecting people’s lives?” — lead to many more questions. The world is generating data at an ever increasing rate. What is it good for? Who benefits? Will poor countries be left out?

Costing the Data Needed for New SDGs

Developing a clear estimate for the scale of resources needed for the statistical capacity of countries to produce the needed data for the new Sustainable Development Goals (SDGs) is critical. Up to now, it has been a guessing game to a large extent, but now a team of development data experts has done a comprehensive assessment.