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Crime and safety data

DataSupplier·12 min read

Crime and safety data informs risk, planning and insurance, but it carries bias and privacy considerations. This guide covers sourcing it responsibly.

Available across the EU. DataSupplier sources and delivers this data in all 27 European Union countries — including Germany, France, Spain, Italy, the Netherlands and Poland — and across the EEA, in the format and cadence you need.

Why crime data matters

Perceived and actual safety affect property values, insurance, siting and public services. Recorded crime and safety data provides a geographic, temporal view, used carefully.

The data landscape

  • Recorded crime: incidents by type and area.
  • Location and time: where and when.
  • Trends: change over time.
  • Context: deprivation and demographics.

Bias and interpretation

Recorded crime reflects reporting and policing, not just underlying crime, so it carries bias. Interpreting it requires care to avoid misleading conclusions, especially at fine geography.

Common use cases

Property and insurance risk, site and route safety, public-service planning, and research.

Privacy

Crime data is sensitive and can be personal at fine resolution, so it is usually aggregated. The GDPR and special-category considerations apply to data revealing offences.

Sourcing considerations

Official police and statistical sources provide much data, with varied definitions and geographies. Harmonisation and careful interpretation are central.

In a managed model

A managed partner can source aggregated crime and safety data with context and documented limitations.

Recorded crime reflects reporting, not just crime

The key caveat with crime data is that recorded figures reflect reporting and policing practice as much as underlying crime, so they carry bias, especially at fine geography. Interpreting it well means treating it as an indicator, combining it with context (deprivation, demographics), and avoiding over-precise conclusions about small areas.

Privacy and harmonisation

Crime data is sensitive and can be personal at fine resolution, so it is usually aggregated and the GDPR applies to anything revealing offences. Official police and statistical sources differ in definitions and geographies, so harmonisation is central before using it for property, insurance, planning or research.

Key takeaways
  • Crime data informs risk, planning and insurance.
  • Recorded crime reflects reporting and policing, carrying bias.
  • It is sensitive; aggregate and apply the GDPR.
  • Harmonise definitions and interpret carefully.

Sources & further reading

  • National police and crime statistics.
  • Eurostat: crime and safety statistics.
  • EUR-Lex: Regulation (EU) 2016/679 (GDPR).
  • Research on crime-data bias.
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