Mapping household survey data quality in 33 sub-Saharan Africa 2006-2019

The geospatial analysis of DHS data quality is derived from Bayesian model-based geostatistics using spatially explicit DHS data and covariates from gridded high-resolution datasets. 5×5-km gridded estimates of three data quality indicators have been aggregated to admin-1 (states & provinces), admin-2 (districts) and national levels through weighting using population data.

1. Age heaping: The proportion of reported ages ending in 5 or 0 of all adults between 23 and 62 (based on Whipple’s index definition). A value above 0.2 indicates age heaping.
2. Flagged HAZ: Missing or biologically implausible values for the measured heights of children under 5 years of age (height-for-age z-scores) according to World Health Organization standards.
3. Incomplete age: The proportion of interviewed women (15-49 years) with either the year or the month of birth missing relative to all interviewed women

The data can be downloaded from here: data_quality.zip

• Age heaping - Proportion of reported ages ending in 5 or 0 of all adults between 23 and 62.
• Flagged HAZ - Missing or biologically implausible values for the measured heights of children (height-for-age z-scores) according to WHO standards.
• Incomplete age - Proporation of interviewed women (15-49 years) with either the year or the month of birth missing relative to all interviewed women.