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External Data Spec

Vulnerability deciles (direct link to dataset not available)

External Data Spec Published 30 Apr 2024
1 min read
The vulnerability index is composed of six socioeconomic variables: GDP per capita, proportion of adults with higher education, proportion of elderly, proportion of artitifical surfaces, proportion of elderly living alone, overweight prevalence. Each variable was normalised - spatially and temperally - using a linear min-max rescaling. The variables received equal weight before summation. The vulnerability index was computed under current (2015) socioeconomic conditions (the baseline) and under four Shared Socioeconomic Pathways (SSPs) for the year 2050. Population and GDP projections were retrieved from the Joint Research Centre at a 0.1° spatial resolution. Projections of artificial surfaces were produced in the IMPRESSIONS project for a 10' lat-lon spatial grid using a regional urban growth model parametrised with assumptions of age group-specific residential preferences under the four European SSPs. Age-specific population projections at NUTS-2 level were retreieved from the IMPRESSIONS project and further downscaled ona 0.1° spatial grid. Education projections were retrieved from quantification of the global SSPs at national scale and further downscaled to NUTS-2 level and finally disaggregated to a 0.1° spatial grid assuming a homogeneous proportion of people with higher education within each NUTS-2 region. Projections of overweight prevalence and of the proportion of elderly living alone are based on expert-based modelling approach. More information on the methodology can be found in https://doi.org/10.1016/j.gloplacha.2018.09.013.

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