The PRIMAP-hist Socio-Eco dataset combines several published datasets to create a comprehensive set of population and Gross domestic product (GDP) pathways for every country covering the years 1850 to 2017, and all UNFCCC (United Nations Framework Convention on Climate Change) member states, as well as most non-UNFCCC territories. The data has no sector resolution.List of datasets included in this data publication:(1) PMHSOCIOECO21_GDP_26-Jul-2019.csv: contains the GDP data for all countries(2) PMHSOCIOECO21_Population_26-Jul-2019.csv: contains the population data for all countries(3) PRIMAP-hist_SocioEco_data_description.pdf: including CHANGELOG(all files are also included in the .zip folder)When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset. Please consider also citing the relevant original sources when using the PRIMAP-hist Socio-Eco dataset. See the full citations in the References section further below.A data description article is in preparation. Until it is published we refer to the description article of the PRIMAP-hist emissions time series for the methodology used.SOURCES:- UN World Population Prospects 2019 (UN2019)- World Bank World Development Indicators 2019 (July) (WDI2019B). We use the *NY.GDP.MKTP.PP.KD* variable for GDP.- Penn World Table version 9.1 (PWT91). We use the *cgdpe* variable for GDP (Robert and Feenstra, 2019; Feenstra et al., 2015)- Maddison Project Database 2018 (MPD2018). We use the *cgdppc* variable for GDP (Bolt et al,, 2018)- Anthropogenic land use estimates for the Holocene – HYDE 3.2 (HYDE32)(Klein Goldewijk, 2017)- Continuous national gross domestic product (GDP) time series for 195 countries: past observations (1850–2005) harmonized with future projections according to the Shared Socio-economic Pathways (2006–2100) (Geiger2018, Geiger and Frieler, 2018)Full references are available in the data description document.
The data in this data publication were collected within the research project “Migration and Translocality in West Africa (Mitra|WA)”, based on a multi-local survey approach following a translocal methodology. Data were collected in research areas along main migration corridors of Ghana. This dataset contains data from household level and individuals at the areas of origin as well as data from individual migrants originating from these locations at their respective areas of destination.
The same multi-local baseline survey was also conducted by fellow researchers of the Mitra|WA-project in other parts of Ghana (e.g. Ashanti Region and Upper West Region), Burkina Faso, Nigeria and Sierra Leone.
The dataset provided here consists of two tables with data from the Area of Origin (AoO) and one table from the Area of Destination (AoD). While each of the individual tables contain valuable information on respective households and migration aspects, the three tables combined mirror the translocal methodological principle of the multi-local baseline survey. They provide a valuable starting point to identify and analyse translocal struc-tures and processes, which are highly relevant in West Africa.