The ID is a unique fingerprint that is calculated based on the values of all non-Fusionbase specific columns.

fb_id

postal_code

region_type

region_id

region_name

reference_year

**Full name:** Crimes per 100,000 inhabitants<br>**Algorithm:** Total offenses <Time> / E <Time> x 100,000<br>**Note:** The indicator includes all criminal offenses as reported in the police crime statistics. According to the report on the Police Crime Statistics 2021, the reliability of the figures is limited by several factors: The dark field is not depicted, reporting behavior in the population can vary, and police control intensity can influence the statistics. Additionally, investigations for slightly more than one-fifth of the offenses take longer than a year but are only recorded upon transfer to the public prosecutor's office. Therefore, some offenses may have already been committed in previous years. The population figures are based on the update of the population status of the federal and state levels as of the reference date 31.12. of the year. The update is based on the 1987 census (FRG) or 1981 (GDR), the 2011 census, and the 2022 census.

criminal_offenses_per_100k

**Full name:** Cases of residential burglary per 100,000 inhabitants<br>**Algorithm:** Residential burglary thefts <Time> / E <Time> x 100,000<br>**Note:** The indicator includes all residential burglary thefts according to §§ 244 Abs. 1 Nr. 3 and Abs. 4, 244a StGB as reported in the police crime statistics. The population figures are based on the update of the population status of the federal and state levels as of the reference date 31.12. of the year. The update is based on the 1987 census (FRG) or 1981 (GDR), the 2011 census, and the 2022 census.

residential_burglary_per_100k

The ISO-8601 timestamp of when the record was added to the data stream.

fb_datetime

Each new set of records that is added to the data stream gets automatically versioned by Fusionbase.

fb_data_version

The Security dataset describes crime rates at the regional level. It includes the number of registered crimes per 100,000 inhabitants and the number of cases of residential burglary per 100,000 inhabitants. The key figures are available for districts and by postal code areas. Normalization per 100,000 inhabitants enables reliable comparisons between regions of different sizes and the observation of changes over time. The dataset supports spatial analyses, regional comparisons, as well as the planning and evaluation of prevention and security measures. It can be combined with demographic and structural indicators to create risk profiles, identify hotspots, and generate reports, maps, and dashboards. Thus, it serves as a basis for evidence-based decisions at the local and regional level.

Safety

Safety

Attributes

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