Escalating environmental inequalities in larger European regions: A data mining

Bardia Mashhoodi; Pablo Muñoz Unceta

doi:10.1016/j.dib.2023.109792

Escalating environmental inequalities in larger European regions: A data mining

Data Brief. 2023 Nov 10:51:109792. doi: 10.1016/j.dib.2023.109792. eCollection 2023 Dec.

Authors

Bardia Mashhoodi¹, Pablo Muñoz Unceta²

Affiliations

¹ Landscape Architecture and Spatial Planning Group, Department of Environmental Sciences, Wageningen University & Research, the Netherlands, Address: P.O. box 47, 6700 AA Wageningen, the Netherlands.
² Institute for Advance Architecture of Catalonia, Spain, Address: C. de Pujades, 102, 08005 Barcelona, Spain.

Abstract

Environmental inequality has been the focus of European scientists and policymakers in the past decades. This database is prepared to provide researchers with a multiscale, multivariate database on environmental inequality across different scales, i.e. the so-called NUTS region levels. To do so, the database offers the population-weighted average and Gini coefficient at four European NUTS region levels (NUTS 0, NUTS 1, NUTS 2, NUTS 3) over exposure to air pollution (NO2, O3, PM10, PM2.5), summer land surface temperature (LST), and Tree and Non-tree vegetated surfaces. The dataset can be used to compare and map the magnitude of inequalities related to each of the environmental hazards/services. Furthermore, it is helpful to identify the levels of scales with the highest and lowest levels of environmental inequality. To this end, this manuscript provides histograms and maps to present the potential for the use of the database.

Keywords: EU; Environmental inequality; Environmental justice; Europe; Gini; Nuts regions; Spatial inequality.