Camille Belmin created a concordance mapping of harmonized district names and indices for 254 Demographic and Health Survey (DHS) data sets. DHS data have discrepancies in the way district names and indices are reported over time. This data set can help DHS users harmonize their DHS data, which is useful when conducting longitudinal analyses with DHS data. This post explains how the data set was created and provides some guidelines on how to use it.
Please read the full post on Camille's gitlab.
