Latin America and the Caribbean: continental age/sex structure population datasets 2000/05/10/15/20 __________________________________________________ DATA DESCRIPTION: Version 1.0 estimates of total number of people per grid square broken down by male/female and 5-year age groupings; national totals have been adjusted to match UN Population Division estimates for 2000(1). REGION: Latin America and the Caribbean (LAC) SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - LAC_PPP_A1014_F_2000_adj_v1.tif = Latin America and the Caribbean (LAC) population dataset presenting people per pixel (PPP) for female age group 10 to 14 (A1014_F) for year 2000, adjusted to match UN national estimates (adj), dataset version 1.0 (v1). For other datasets, M = male, A65PL = age 65 and over, WOCBA = women of childbearing age (age 15-49). DATASET CONSTRUCTION DETAILS: This dataset is compiled from demographic age/sex structure proportional data, sourced on a country-by-country basis. The primary objective was to source the most detailed sub-national level data available, for each country. A number of small countries had no sub-national data available, hence national data was used instead (sourced from national statistical offices or UNPD(1)). The people per pixel (PPP) estimates for each age/sex group were derived from WorldPop whole continent population datasets, version 2.0, 2016 production(2). The continental grouping of countries honours the macro geographical classification developed and maintained by the United Nations Statistics Division(3). Full details of WorldPop population mapping methodologies are described on the WorldPop website(4). DATE OF PRODUCTION: March 2017 ___________________________________________ (1) United Nations Population Division, WorldPopulation Prospects, 2015 Revision. http://esa.un.org/wpp/ (2) www.worldpop.org.uk/data/data_sources/ (3) United Nations Statistics Division. http://unstats.un.org/unsd/methods/m49/m49regin.htm (4) www.worldpop.org.uk/data/methods