Pop-AUT: Subnational SSP Population Projections for Austria

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General Information

The Pop-AUT database was developed for the DISCC-AT project, which is dedicated at informing decision makers in Austria about group-specific social vulnerabilities associated with key climate risks as well as the within-country distributional effects of climate change impacts and adaptation on a national scale.

To achieve this, the project relies on subnational population projections consistent with the Shared Socio-Economic Pathways (SSPs). Therefore, in the Pop-AUT database the most recent version of the nationwide SSP population projections are downscaled, providing a detailed perspective at the subnational level in Austria.

Recognizing the relevance of this information for a wider audience, the data has been made publicly accessible through this interactive dashboard. Users are invited to explore how the Austrian population is projected to evolve under different SSP scenarios until the end of this century. For inquiries or further information, please feel free to contact Alexander Marbler.

Methodology

The downscaling process of the nationwide Shared Socioeconomic Pathways (SSP) population projections is a four-step procedure developed to obtain subnational demographic projections for Austria. In the first step, population potential surfaces for Austria are derived. These indicate the attractiveness of a location in terms of habitability and are obtained using machine learning techniques, specifically random forest models, along with geospatial information such as land use, roads, elevation, distance to cities, and elevation (see, e.g., Wang et al. (2023)).

The population potential surfaces play a crucial role in distributing the Austrian population effectively across the country. Calculations are based on the 1x1 km spatial resolution database provided by Wang et al. (2023), covering all SSPs in 5-year intervals from 2020 to 2100.

Moving to the second step, the updated nationwide SSP population projections for Austria (IIASA-WiC POP 2023) are distributed to all 1x1 km grid cells within the country. This distribution is guided by the previously computed grid cell-level population potential surfaces, ensuring a more granular representation of demographic trends.

The base year for all scenarios is 2015, obtained by downscaling the UN World Population Prospects 2015 count for Austria using the WorldPop (2015) 1×1 km population count raster.

In the third step, the 1x1 km population projections are temporally interpolated to obtain yearly projections for all SSP scenarios spanning the period from 2020 to 2100.

The final step involves the spatial aggregation of the gridded SSP-consistent population projections to the administrative levels of provinces (Bundesländer), districts (Bezirke), and municipalities (Gemeinden).

Data Inputs

Updated nationwide SSP population projections: IIASA-WiC POP (2023)

Population potential surfaces: Wang et al. (2023)

Shapefiles: data.gv.at

WorldPop 2015: WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00647

Version

This is version 1.0, built upon the Review-Phase 2 version of the updated nationwide SSP population projections (IIASA-WiC POP 2023). Once these projections are revised, this dataset will be accordingly updated.

How to Cite

If you use content from this dashbord, please cite as follows:

Marbler, A. (2024). Pop-AUT: Subnational SSP Population Projections for Austria (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10477870