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  • 70+ Downloads
    Time Period of the Dataset [?]: January 01, 2014-January 01, 2014 ... More
    Modified [?]: 10 August 2018
    Dataset Added on HDX [?]: 5 July 2018
    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Population Estimates by COD Administrative Unit
    These data summarize the latest available WorldPop gridded population datasets into the administrative units of the common operational dataset (COD). Note that these data should not be considered the COD datasets for population unless endorsed by the humanitarian community in country, but rather as a starting point if no COD dataset is available, or as a point of comparison with other population datasets. These data are provided as a prototype and feedback is welcome at hdx.feedback@gmail.com
  • 3300+ Downloads
    Time Period of the Dataset [?]: June 13, 2018-June 13, 2018 ... More
    Modified [?]: 13 June 2018
    Dataset Added on HDX [?]: 4 November 2015
    This dataset updates: Every year
    The dataset has been developed by merging Admin2 geodata of the nine countries of the Sahel region coming from several sources (SALB, governments, WFP....).
  • Time Period of the Dataset [?]: January 01, 2014-December 31, 2017 ... More
    Modified [?]: 5 May 2017
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Pregnancies
    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). 2017. Burkina Faso 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/WP00453
  • Time Period of the Dataset [?]: January 01, 2014-December 31, 2017 ... More
    Modified [?]: 5 May 2017
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Births
    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 live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births 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). 2017. Burkina Faso 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00345
  • 500+ Downloads
    Time Period of the Dataset [?]: May 14, 2015-May 14, 2015 ... More
    Modified [?]: 24 November 2015
    Dataset Added on HDX [?]: 6 May 2015
    This dataset updates: Every month
    The Income Activities dataset includes data on income generation at the household level. Sources of income listed include labor, agriculture, asset sales, and remittances, among others. It is available for 32 countries.