Open Data on Offenses from the Police and Border Guard Board

The Police and Border Guard Board’s open data on offenses can be used in research that, for example, analyzes crimes by regions and communities, examines broader connections between general daily mobility of residents and, more specifically, the mobility of offenders and victims, as well as choices of residence or business location.

The database contains information on three types of offenses:

  1. Offenses detected during traffic supervision (e.g., time of the offense, legal basis for classification, location including geographic coordinates, vehicle information, offender’s gender, age, and residence, type of offense).
  2. Public order and public-space property offenses (e.g., time of the offense, type of incident, legal basis for classification, amount of damage, location including geographic coordinates, type of offense).
  3. Property offenses (e.g., time of the offense, type of incident, mode of commission, type of supervision, legal basis for classification, amount of damage, location including geographic coordinates, vehicle information, type of offense).

The open data is based on the police case management system POLIS. The oldest data dates back to 2012, and the dataset is updated weekly. Offense data is published in CSV format.

Use of the Data

Contact

Police and Border Guard Board

Police and Border Guard Board

https://www.politsei.ee

avaandmed.list@politsei.ee

EU Fund
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Infotechnological Mobility Observatory

The research was conducted using the research infrastructure “Infotechnological Mobility Observatory” funded by the Estonian Research Council (TARISTU24-TK18)

Beneficiary: University of Tartu

Partners: Tallinn University of Technology, Tallinn University, Statistics Estonia

Period: 2014 - 2029

Brief description: Growing spatial mobility is one of the important changes in modern society, which is related to the topics of external and internal migration, urbanization, entrepreneurship, inequality and regional development. Up-to-date and high-quality data are needed to study spatial mobility. The goal of IMO is to develop an innovative data infrastructure supporting mobility research, integrating geographically and longitudinally diverse national statistics and innovative IT data sources.