Development and Health Indicators Development Indicators / Individual countries / Kenya 1000m. Literacy

Kenya 1000m. Literacy
Kenya 1km Literacy

DATASET: version 1.0 estimates of the proportion of women aged 15-49 per grid square that were classed as literate in 2008/9; the data series is comprised of two datasets, a) predicted proportion of female literacy (KEN_literacy_F.tif), and b) related uncertainty map (KEN_literacy_F_interdecile.tif).

REGION: Africa

SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator)

PROJECTION: Geographic, WGS84

UNITS: Dataset a: Proportion of women aged 15-49 classed at literate (median value); dataset b: Interdecile range - the difference between the first and the ninth deciles (uncertainty dataset).

MAPPING APPROACH: Bayesian geostatistical modelling methods in combination with high resolution gridded spatial covariates applied to GPS-located household survey data on literacy from the DHS program, circa 2008/9.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - KEN_literacy_F.tif = Kenya (KEN) female (F) literacy values.

DATE OF PRODUCTION: March 2017

Region : Kenya
DOI : 10.5258/SOTON/WP00126
Date of production : 2017-05-05
Recommended citation

Bosco, C.; Alegana, V.; Bird, T.; Pezzulo, C.; Bengtsson, L.; Sorichetta, A.; Steele, J.; Hornby, G.; Ruktanonchai, C.; Ruktanonchai, N.; Wetter, E.; Tatem, A. J. (2017): Exploring the high-resolution mapping of gender disaggregated development indicators. Journal of the Royal Society Interface, 14(129). DOI: 10.1098/rsif.2016.0825.

Data Files :
WorldPop datasets are available under the Creative Commons Attribution 4.0 International License. This means that you are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) for any purpose, even commercially, provided attribution is included (appropriate credit and a link to the licence).