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  • Bangladesh 1km Poverty

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    WorldPop (www.worldpop.org.uk) dataset details
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    DATASET: 2011 estimates of mean DHS wealth index score per grid square, and associated uncertainty metrics.
    REGION: Asia
    SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx. 1km at the equator)
    PROJECTION: Geographic, WGS84
    UNITS: DHS wealth index score (poverty dataset); standard deviation (uncertainty dataset)
    MAPPING APPROACH: Bayesian model-based geostatistics in combination with high resolution gridded spatial covariates and aggregated mobile phone data applied to GPS-located household survey data on poverty from the DHS Program.
    FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
    FILENAMES: bgd2011wipov.tif = Bangladesh (bgd) asset-based poverty map for 2011 showing estimates of mean DHS wealth index score per grid square. bgd2011wipovsd.tif = uncertainty dataset showing standard deviation per grid square.
    DATE OF PRODUCTION: January 2017
    CITATION: Steele, J. E. et al. Mapping poverty using mobile phone and satellite data. J. R. Soc. Interface 14, 20160690 (2017). Online here: http://rsif.royalsocietypublishing.org/content/14/127/20160690

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    DATASET: 2013 estimates of mean likelihood of living in poverty per grid square, as defined by $2.50 a day poverty line, and associated uncertainty metrics.
    REGION: Asia
    SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx. 1km at the equator)
    PROJECTION: Geographic, WGS84
    UNITS: Mean likelihood of living on less than $2.50 a day (poverty dataset); standard deviation (uncertainty dataset)
    MAPPING APPROACH: Bayesian model-based geostatistics in combination with high resolution gridded spatial covariates applied to GPS-located household survey data on poverty from the Progress out of Poverty Index.
    FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
    FILENAMES: bgd2013ppipov.tif = Bangladesh (bgd) Poverty Index-based poverty map for 2013 showing estimates of mean likelihood of living in poverty per grid square. bgd2013ppipovsd.tif = uncertainty dataset showing standard deviation per grid square.
    DATE OF PRODUCTION: January 2017
    CITATION: Steele, J. E. et al. Mapping poverty using mobile phone and satellite data. J. R. Soc. Interface 14, 20160690 (2017). Online here: http://rsif.royalsocietypublishing.org/content/14/127/20160690

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    DATASET: 2013 estimates of income in USD per grid square, and associated uncertainty metrics.
    REGION: Asia
    SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx. 1km at the equator)
    PROJECTION: Geographic, WGS84
    UNITS: USD (poverty dataset); standard deviation (uncertainty dataset)
    MAPPING APPROACH: Bayesian model-based geostatistics in combination with high resolution gridded spatial covariates and aggregated mobile phone data applied to mobile tower-located household survey data on income from Grameenphone Ltd.
    FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
    FILENAMES: bgd2013incpov.tif = Bangladesh (bgd) income-based poverty map for 2013 showing estimates of mean household income in USD per grid square. bgd2013incpovsd.tif = uncertainty dataset showing standard deviation per grid square.
    DATE OF PRODUCTION: January 2017
    CITATION: Steele, J. E. et al. Mapping poverty using mobile phone and satellite data. J. R. Soc. Interface 14, 20160690 (2017). Online here: http://rsif.royalsocietypublishing.org/content/14/127/20160690


    DOI: 10.5258/SOTON/WP00020

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