Abstract
An increasing amount of high-resolution global spatial data are available, and used for various assessments. However, key economic and human development indicators are still mainly provided only at national level, and downscaled by users for gridded spatial analyses. Instead, it would be beneficial to adopt data for sub-national administrative units where available, supplemented by national data where necessary. To this end, we present gap-filled multiannual datasets in gridded form for Gross Domestic Product (GDP) and Human Development Index (HDI). To provide a consistent product over time and space, the sub-national data were only used indirectly, scaling the reported national value and thus, remaining representative of the official statistics. This resulted in annual gridded datasets for GDP per capita (PPP), total GDP (PPP), and HDI, for the whole world at 5 arc-min resolution for the 25-year period of 1990–2015. Additionally, total GDP (PPP) is provided with 30 arc-sec resolution for three time steps (1990, 2000, 2015).
Highlights
Background & SummaryA growing number of openly available global gridded datasets are providing an increasing variety of opportunities for spatial analyses
Most of the human and economic development indicators are still provided mainly at national level when presented at global scale, for example by large institutes such as the World Bank and United Nations Development Programme (UNDP)
We present altogether three gridded global datasets, all for the years 1990–2015: i) Gross Domestic Product (GDP) per capita (PPP, i.e. purchasing power parity), ii) Human Development Index (HDI)
Summary
Background & SummaryA growing number of openly available global gridded datasets are providing an increasing variety of opportunities for spatial analyses. There is, a sub-national GDP per capita dataset compiled by Gennaioli, et al.[28] that covers a time span of 60 years (1950–2010), but these data are currently only in tabulated format.
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