Xenophobic violence in Sweden 2009–2022: Introducing the dataset

We present a new event dataset on xenophobic violence in Sweden, covering all police-reported, hate-crime-flagged incidents involving physical violence between 2009 and 2022 (n = 2,522). The dataset provides a nationally complete and georeferenced record of violent xenophobic offences, combining programmatic extraction of structured police records with manual coding of free-text narratives under transparent inclusion criteria. It includes detailed information on offence types, bias motivations, temporal and spatial context, and characteristics of victims and perpetrators. By maintaining a uniform sampling frame across the full period, the dataset enables consistent longitudinal analysis of xenophobic violence beyond media-based or survey-driven sources. We present descriptive patterns to illustrate its analytical value, highlighting the coexistence of routine, dispersed assaults and episodic surges linked to external events. The dataset offers a transparent empirical foundation for research on hate crime, political violence, and the dynamics of intergroup conflict.

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Publication Details

Journal
Research & Politics
Published
2026-04-01
DOI
https://doi.org/10.1177/20531680261436628
Primary Topic
LGBTQ Health, Identity, and Policy
Type
article
Field-Weighted Citation Impact
0.00

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article

Xenophobic violence in Sweden 2009–2022: Introducing the dataset

Anton Törnberg, Mattias Wahlström, Victoria Vallström, Måns Lundstedt
Research & Politics
LGBTQ Health, Identity, and Policy
article

Xenophobic violence in Sweden 2009–2022: Introducing the dataset

Anton Törnberg, Mattias Wahlström, Victoria Vallström, Måns Lundstedt
article en

Abstract

We present a new event dataset on xenophobic violence in Sweden, covering all police-reported, hate-crime-flagged incidents involving physical violence between 2009 and 2022 (n = 2,522). The dataset provides a nationally complete and georeferenced record of violent xenophobic offences, combining programmatic extraction of structured police records with manual coding of free-text narratives under transparent inclusion criteria. It includes detailed information on offence types, bias motivations, temporal and spatial context, and characteristics of victims and perpetrators. By maintaining a uniform sampling frame across the full period, the dataset enables consistent longitudinal analysis of xenophobic violence beyond media-based or survey-driven sources. We present descriptive patterns to illustrate its analytical value, highlighting the coexistence of routine, dispersed assaults and episodic surges linked to external events. The dataset offers a transparent empirical foundation for research on hate crime, political violence, and the dynamics of intergroup conflict.

Research & PoliticsVol. 13(2)
University of Gothenburg (SE)
Vetenskapsrådet
Reduced inequalities
Openalex Percentile: Top 23%
LGBTQ Health, Identity, and Policy
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