This data release provides gridded (at a spatial resolution of 30 arc-seconds, approximately 1 km grid cells), annual estimates of DTP1,3 and MCV1 vaccination coverage rates and numbers of zero-dose children (defined as those who had not received DTP1) for Nigeria covering the period from 2000 to 2024. The project team utilized data from the 2003, 2008, 2013, 2018, and 2024 Demographic and Health Surveys (DHS) and the 2016/17 and 2021 Multiple Indicator Cluster Surveys (MICS), along with geospatial covariates to model and predict vaccination coverage for each birth cohort within the study period. Estimates were produced for each grid cell within a Bayesian geostatistical modelling framework. The approach allowed the quantification of uncertainties in the coverage estimates. The estimation of numbers of zero-dose children combined the vaccination coverage estimates with existing high-resolution population estimates of children aged under one-year-old.
These data were produced by the WorldPop’ VaxPop team at the University of Southampton. This work was part of the Gavi zero-dose III project, with funding provided by Gavi, the Vaccine Alliance [grant number: MEL 11779722]. Project partners included Gavi, UNICEF, and WorldPop at the University of Southampton.
FILE DESCRIPTIONS
The projection for all GIS files is the geographic coordinate system WGS84 (World Geodetic System 1984).
NGA_Coverage_Rasters_DTP1.zip - Geotiff raster layers containing estimates of DTP1 vaccination coverage rates and associated uncertainties for each approximately 1km grid cell (0.00898 decimal degrees grid) across Nigeria from 2000 to 2024. These estimates relate to the birth cohort in each year.
NGA_Coverage_Rasters_DTP3.zip - Geotiff raster layers containing estimates of DTP3 vaccination coverage rates and associated uncertainties for each approximately 1km grid cell (0.00898 decimal degrees grid) across Nigeria from 2000 to 2024. These estimates relate to the birth cohort in each year
NGA_Coverage_Rasters_MCV1.zip - Geotiff raster layers containing estimates of MCV1 vaccination coverage rates and associated uncertainties for each approximately 1km grid cell (0.00898 decimal degrees grid) across Nigeria from 2000 to 2024. These estimates relate to the birth cohort in each year
NGA_ADM_coverage_estimates.zip - GIS shapefiles, GeoPackage and CSV files containing estimates of DTP1, DTP3 and MCV1 vaccination coverage rates and associated uncertainties for at ADM0 (national), regional (geopolitical zones), ADM1 (state) and ADM2 (local government area) levels across Nigeria from 2000 to 2024. These estimates relate to the birth cohort in each year.
NGA_ADM_zero_dose_estimates.zip - GeoPackage and CSV files containing estimates of numbers of (DTP-) zero-dose children (children aged under 1 in each year) at ADM0, ADM1 and ADM2 levels in Nigeria from 2000 to 2024
Region : Nigeria
DOI : 10.5258/SOTON/WP00880
Date of production : 2026-01-23
Recommended citation
Utazi C. E., Megheib M., Olowe I. D., Chaudhuri S., Tejedor-Garavito N. and Tatem A. J. (2026). Modelled vaccination coverage and zero-dose estimates for Nigeria, 2000 - 2024 version 1.0, WorldPop, University of Southampton. DOI:10.5258/SOTON/WP00880
Data Files :
| Name | Size |
|---|---|
| NGA_ADM_coverage_estimates.zip | 35.38 MB |
| NGA_ADM_zero_dose_estimates.zip | 9.10 MB |
| NGA_Coverage_rasters_DTP1.zip | 552.20 MB |
| NGA_Coverage_rasters_DTP3.zip | 565.43 MB |
| NGA_Coverage_rasters_MCV1.zip | 554.93 MB |
| Release_Statement_ v1.pdf | 0.34 MB |
WorldPop datasets derived from OpenStreetMap, Microsoft Building Footprints or Microsoft Roads Detection are available under the Open Database License (ODbL). This means you are free to share the data, provided attribution is included (appropriate credit and a link to the license). If you alter or build upon the data, you may distribute the result only under the same ODbL license.