UNEP/GRID-Sioux Falls
uneplive atlas geas

Latin America and Caribbean Population Database Documentation

The methodology and documentation for the Latin America and Caribbean Population Database are based on earlier work for Africa and Asia by Uwe Deichmann. The database was prepared by:

    Glenn Hyman, Andy Nelson and German Lema
    International Center for Tropical Agriculture
    A.A. 6713, Cali, Colombia
    gislab @cgiar.org

    Gene Fosnight and Ashbindu Singh
    United Nations Environment Program
    Eros Data Center
    Sioux Falls, South Dakota

    Uwe Deichmann
    World Bank

    Washington DC
    udeichmann @worldbank.org

    Last edition by UNEP/DEIA/GRID-Sioux Falls: 3 November 2000




The International Center for Tropical Agriculture (CIAT), the United Nations Environment Program (UNEP/GRID Sioux Falls, UNEP/GRID Arendal), and the World Resources Institute (WRI) provided funding and support for the development of this database. We are grateful for the cooperation of the United Nations Economic Commission for Latin America (ECLAC), the World Bank and all the countries of Latin America and the Caribbean that supported this effort.


The Latin America and Caribbean Population Database project fulfills the UNEP/GRID goal of providing digital population maps for the major developing world regions. This project follows as closely as possible the design and methodology of the previously-developed Asian and African databases. The gridded population database was derived from over 10,000 administrative units and 1300 populated places.

The documentation follows the same format as that developed for the Asian and African data sets. Part 1 discusses the boundary and population data sources. The methods to make population projections and data quality issues are discussed in the following sections. Part 2 describes the methods for developing the raster population distribution surfaces. This section follows with comments on the modeling process and an evaluation of the results. The appendices include information on data resolution and quality, data sources for population and administrative boundary information.


[ Boundary and population data... | Any comments or questions ]