Dutch Grid Data Reveal Reversal: Stable Immigrant Exposure Lowers Right-Wing Votes While Rapid Increases Raise Them

The study used a novel segregation-derived exposure metric on nationwide 100 m grid data covering all Dutch residents rather than survey panels. Researchers compared 2023 vote shares as a proxy for anti-immigrant sentiment against exposure levels and then tracked the 2021-2023 change in right-wing vote share. At high exposure, income inequality and relative deprivation moderated the relationship, consistent with contact theory under stable conditions and threat amplification during rapid demographic shifts.

This pattern aligns with earlier European findings such as the 2018 study by van der Meer and Tolsma on neighborhood contact reducing prejudice in the Netherlands and the 2022 longitudinal analysis by Schaeffer and Kasara across German municipalities showing short-term backlash to sudden inflows. The arXiv paper extends these by using complete population grids instead of sampled respondents and by isolating the overexposure threshold where wealth buffers or exacerbates voting shifts.

The main limitation is reliance on aggregate election data without individual-level controls for selective mobility or media exposure. Panel surveys or natural experiments around asylum center openings would strengthen causal claims. Policymakers should monitor influx rates alongside inequality metrics rather than absolute exposure alone when designing integration programs.

Future work could test whether targeted local investment in high-exposure, high-inequality municipalities attenuates the observed vote reversal in the 2027 election cycle.