Fig. 2.

Overview of approach. (A) Nationally representative household survey data are obtained from 56 different countries around the world. (B) In Nigeria, for example, there are 40,680 households surveyed in 899 unique survey locations (“villages”). Geospatial “big” data from satellites and other existing sensors are also sourced from each location. (C) These data are used to train a machine-learning algorithm that predicts microregional poverty from nontraditional data, even in regions where no ground-truth data exists.