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Berlin Urban Crime Statistics
Government & Civic Records
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About
This dataset provides detailed crime statistics for Berlin, Germany, covering the period from 2012 to 2019. Berlin is noted as a unique, multicultural city with a distinct crime landscape. The data, sourced from the Commissariat of Berlin, offers insights into various crime categories across different districts and neighborhoods within the city. Notably, certain crimes like "deprivation of liberty" and "threat" are grouped, while "larceny" is granularly divided into categories such as bike theft, car theft, theft from cars, and other forms of theft. There is also a specific category for property damage caused by graffiti. This dataset allows for an in-depth analysis of criminal activity at a local level.
Columns
- Year: The year the statistics were recorded.
- District: The name of the Berlin district.
- Code: Identifier for the neighborhood (Hood ID).
- Location: The specific neighborhood name.
- Robbery: Incidents of robbery occurring away from the street.
- Street_robbery: Incidents of robbery taking place on the street.
- Injury: Cases of assault resulting in injury.
- Agg_assault: Incidents of aggravated assault.
- Threat: Crimes encompassing deprivation of liberty, coercion, general threat, and persecution.
- Theft: General larceny incidents.
- Car: Instances of car theft.
- From_car: Incidents of theft from an automobile.
- Bike: Incidents of bicycle theft.
- Burglary: Incidents of burglary.
- Fire: Damage caused by fire without criminal intent.
- Arson: Damage caused by fire with criminal intent.
- Damage: General property damage incidents.
- Graffiti: Property damage specifically caused by graffiti (Sach-beschädigung durch Graffiti).
- Drugs: Crimes related to drugs.
- Local: Crimes committed close to the criminal's living place, also known as "Kieztaten" in German.
Distribution
The dataset is provided in a CSV format, named
Berlin_crimes.csv, and has a size of 124.09 kB. It consists of 20 columns. Many columns have 1200 valid records, indicating a consistent number of entries across various crime types and geographical areas for the specified period.Usage
This dataset is suitable for various analytical applications, including identifying the most affected parts of Berlin by crime, tracking trends in specific crime types over the years (e.g., which crimes are increasing or decreasing), and creating geographical visualisations such as heatmaps using tools like Folium to highlight crime hotspots. It can be used for urban planning, public safety research, and local crime analysis.
Coverage
The data covers crime statistics for Berlin, Germany. It includes information broken down by individual districts and specific neighborhoods within Berlin. The temporal scope spans from 2012 to 2019. The crime numbers are linked to each specific neighborhood of Berlin's part.
License
CC0: Public Domain
Who Can Use It
- Urban Planners and City Officials: To understand crime patterns and allocate resources for public safety initiatives.
- Law Enforcement Agencies: For strategic planning, identifying high-risk areas, and deploying personnel effectively.
- Data Scientists and Analysts: To perform statistical analysis, machine learning predictions, and build interactive visualisations of crime data.
- Academic Researchers: For studies on urban crime, sociology, and public policy.
- Journalists and Media Outlets: To report on local crime trends and public safety issues in Berlin.
- Citizens and Community Groups: To gain insights into local safety conditions and engage in community improvement efforts.
Dataset Name Suggestions
- Berlin Crime Activity Data (2012-2019)
- Berlin Urban Crime Statistics
- Criminal Incidents in Berlin Neighbourhoods
- Berlin Public Safety Report
Attributes
Original Data Source: Berlin Urban Crime Statistics
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