The PRIMAP-hist Socio-Eco national historical GDP and population time series v2.1, (1850 - 2017)
Cite as:
Gütschow, Johannes (2019): The PRIMAP-hist Socio-Eco national historical GDP and population time series v2.1, (1850 - 2017). V. 2.1. GFZ Data Services. https://doi.org/10.5880/PIK.2019.019
Status
I N R E V I E W : Gütschow, Johannes (2019): The PRIMAP-hist Socio-Eco national historical GDP and population time series v2.1, (1850 - 2017). V. 2.1. GFZ Data Services. https://doi.org/10.5880/PIK.2019.019
Abstract
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.
Methods
Methods:
Country resolved data is combined from different sources using the PRIMAP emissions module (Nabel et. al., 2011). It is supplemented with growth rates from regionally resolved sources and numerical extrapolations.
Authors
Gütschow, Johannes;Potsdam Institute for Climate Impact Research, Potsdam, Germany
Contact
Gütschow, Johannes; Potsdam Institute for Climate Impact Research, Potsdam, Germany; ➦
Keywords
GDP time series, composite source, climate change, Population time series, environmental policy
CharacterString: 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.
CI_OnLineFunctionCode (codeList=http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode codeListValue=http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode_information): information
CharacterString: Methods:
Country resolved data is combined from different sources using the PRIMAP emissions module (Nabel et. al., 2011). It is supplemented with growth rates from regionally resolved sources and numerical extrapolations.
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Released
Dataset
Abstract
;Potsdam Institute for Climate Impact Research, Potsdam, Germany
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