Abstract

Aim: Despite the country’s explicit political goal to establish equivalent living conditions across Germany, significant inequality continues to exist. We argue that premature mortality is an excellent proxy variable for testing the claim of equivalent living conditions since the root causes of premature death are socioeconomic. Subject and Methods: We analyse variation in premature mortality across Germany’s 402 districts and cities in the year 2014. Results: Premature mortality spatially clusters among geographically contiguous and proximate districts/cities and is higher in more urban places as well as in districts/cities located further North and in former East Germany. We demonstrate that, first, socioeconomic factors account for 62 percent of the cross-sectional variation in years of potential life lost and 70 percent of the variation in the premature mortality rate. Second, we show that these socioeconomic factors either entirely or almost fully eliminate the systematic spatial patterns that exist in premature mortality. Conclusion: On its own, fiscal redistribution, the centrepiece of how Germany aspires to establish its political goal, cannot generate equivalent living conditions in the absence of a comprehensive set of economic and social policies at all levels of political administration, tackling the disparities in socioeconomic factors that collectively result in highly unequal living conditions.

Highlights

  • Regional disparities in living conditions weaken the cement that holds nation states together

  • In Starnberg a mere 18.4% of the population dies prematurely while the share of premature deaths in Herne is 34.3%. We argue that these disparities in premature deaths result from imbalances in socioeconomic factors that determine premature mortality

  • Districts/cities located in East Germany, for example, on average lose 1629 more people out of an artificial cohort of 100,000 and lose on average 33,636 more years of potential life than those in West Germany

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Summary

Introduction

Regional disparities in living conditions weaken the cement that holds nation states together. For example in a given district/city the years of potential life lost would be the number of standardised deaths that occurred before the age of one multiplied by the 74 years that these children did not live (die prematurely) plus the standardised number of deaths between the ages of 1 and 5 multiplied by the 72 years they lost on average, plus the deaths between the ages of 5 and 10 multiplied by 67 years, and so on until the cohort that died between 70 and 75, which is multiplied by 2 This measure of premature mortality ranges from 199,814 to 502,682 with a mean of 321,634 and a standard deviation of 49,003. All we are interested in here is the combined explanatory power that socioeconomic factors jointly exert on premature mortality

Results
Conclusion
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