
Intro text.
Geographical Behavioral Science Lab
Loneliness affects nearly one in seven people in Nordrhein-Westfalen (NRW) and has strong consequences for mental and physical health, yet policymakers lacked evidence on who is affected, what drives loneliness, and which interventions could meaningfully reduce it.
The research team analyzed data from 5,795 NRW residents and combined demographic, socioeconomic, and geographic indicators to:
measure loneliness prevalence across all major population groups,
identify key predictors (income, employment, partnership status, migration background),
map regional patterns, and
examine health, work, and engagement factors linked to loneliness.
This provided a comprehensive behavioral and regional profile of loneliness in NRW.
The study revealed which groups are most at risk and provided evidence-based guidance for interventions focused on:
strengthening social participation and labor market inclusion,
supporting older adults living alone,
enhancing integration for migrants, and
promoting volunteering as a protective factor.
Overall, the findings deliver a concrete roadmap for policymaking and highlight that loneliness in NRW is primarily driven by individual life circumstances, not by municipal structures.
Geographical Behavioral Science Lab
Forecasts showed that Marburg-Biedenkopf would face a severe skilled-labor shortage, meaning that over two-thirds of local positions were difficult to fill. To respond strategically, policymakers needed to understand why workers do or do not move into the region, which groups are most likely to relocate, and how the district is perceived compared to competing regions.
The study analyzed multiple data sources to understand worker mobility and regional appeal, including:
This allowed the identification of key motivators and barriers shaping regional migration decisions.
The report provides clear guidance for policymakers and employers on:
By offering a data-based understanding of mobility and regional attractiveness, the study supports more effective actions to mitigate the region’s skilled-labor shortage.