Despite improvements in censuses and household surveys, the building blocks of national statistical systems in sub-Saharan Africa remain weak. Measurement of fundamentals such as births and deaths, growth and poverty, taxes and trade, land and the environment, and sickness, schooling, and safety is shaky at best. The Data for African Development Working Group’s recommendations for reaping the benefits of a data revolution in Africa fall into three categories: (1) fund more and fund differently, (2) build institutions that can produce accurate, unbiased data, and (3) prioritize the core attributes of data building blocks.
This brief summarizes and updates results of the Quality of Official Development Assistance (QuODA) index applied to health aid and compares these results to the overall QuODA assessment. Through quantifying performance on aid effectiveness, we hope to motivate improvements in health aid effectiveness and contribute to the definition of better, more empirically based measures of health aid quality.