Federal Institute for Population Research

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Arbeitshelm vor Ukraineflagge (refer to: Protection seekers from Ukraine: making better use of potential for the German labour market) | Source: © BillionPhotos.com/stock.adobe.com

Press releaseProtection seekers from Ukraine: making better use of potential for the German labour market

New data from the Federal Institute for Population Research show a further increase in the employment rate among Ukrainian refugees. This has almost doubled from 16 per cent in summer 2022 to 30 per cent in spring 2024.

Peer-Reviewed Articles in Scientific JournalsSpatial Variation in Excess Mortality Across Europe: A Cross-Sectional Study of 561 Regions in 21 Countries

Bonnet, Florian; Grigoriev, Pavel; Sauerberg, Markus; Alliger, Ina; Mühlichen, Michael; Camarda, Carlo-Giovanni (2024)

Journal of Epidemiology and Global Health 14(2): 470–479

DOI: 10.1007/s44197-024-00200-0

Objective: To measure the burden of the COVID-19 pandemic in 2020 at the subnational level by estimating excess mortality, defined as the increase in all-cause mortality relative to an expected baseline mortality level.

Methods: Statistical and demographic analyses of regional all-cause mortality data provided by the vital statistics systems of 21 European countries for 561 regions in Central and Western Europe. Life expectancy losses at ages 0 and 60 for males and females were estimated.

Results: We found evidence of a loss in life expectancy in 391 regions, whilst only three regions exhibit notable gains in life expectancy in 2020. For 12 regions, losses of life expectancy amounted to more than 2 years and three regions showed losses greater than 3 years. We highlight geographical clusters of high mortality in Northern Italy, Spain and Poland, whilst clusters of low mortality were found in Western France, Germany/Denmark and Norway/Sweden.

Conclusions: Regional differences of loss of life expectancy are impressive, ranging from a loss of more than 4 years to a gain of 8 months. These findings provide a strong rationale for regional analysis, as national estimates hide significant regional disparities.

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