The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al..
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Uzbekistan 1km Pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00639
This dataset updates: Every year
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Dataset details: Uzbekistan 1km Pregnancies__________DATASET: Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org)REGION: AsiaSPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator)PROJECTION: Geographic, WGS84UNITS: Estimated pregnancies per grid squareMAPPING APPROACH: Integration of datasets on population distribution, age/sex structure and fertility rates, along with estimates for stillbirths, miscarriages, abortions and national estimates for live births, combined to produce high resolution maps detailing the number and distribution of pregnancies. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)FILENAMES: WorldPop naming convention applied; example AFG_pregs_pp_v2_2015.tif = Afghanistan (AFG, three-letter country code adhering to ISO 3166 standard) pregnancies per pixel (pregs_pp) version 2 (v2) based on data for circa 2015.