Crime Risk Insurance Data | USA & Canada | Make Informed Insurance Underwriting Decisions | Location Data | Demographic Data

GapMaps offers an advanced and reliable Crime Risk dataset sourced from Applied Geographic Solutions (AGS), a trusted provider of premium demographic insights with over 20 years of experience. Leveraged by thousands of businesses, AGS use advanced statistical methodologies and a rolling seven-year database of FBI and local agency statistics to provide a highly accurate view of the relative risk of specific crime types for any geographic area empowering organizations to make informed decisions in areas such as insurance, urban planning, and real estate. The AGS Crime Risk dataset includes: - Standardised indexes for a range of serious crimes against both persons and property such as murder, rape, robbery, assault, burglary, theft, and motor vehicle theft - Aggregate measures of crime risk, including crimes against persons, crimes against property, and overall crime risk, offering a comprehensive overview of an area’s safety. - 5-Year Projections: Added in 2020, these projections enhance the dataset by forecasting future crime risks, providing valuable insights for long-term planning. - High-Resolution Data: Crime risk indexes are available at the block group level, allowing insurers to identify variations in crime risk across specific land uses such as motor vehicle theft from parking structures. Use cases for Crime Risk data in Insurance include: 1) Help determine the likelihood of policyholders filing claims. This information allows them to price policies appropriately. Higher crime risk areas typically result in higher premiums to account for the increased likelihood of claims. 2) Provide recommendations for loss prevention measures based on crime risk assessments. This could include installing security systems, using better lighting, or employing security personnel. Effective loss prevention can reduce the frequency and severity of claims. 3) Insurance underwriters can establish sufficient premiums to cover potential claims. Misjudging crime risk could lead to financial losses if claims exceed the collected premiums. This stability is essential for the insurer's long-term viability. 4) Offer competitive premiums while maintaining profitability. This can attract more customers and increase market share. Methodology: The primary source of CrimeRisk is a careful compilation and analysis of the FBI Uniform Crime Report databases. On an annual basis, the FBI collects data from each of about 16,000 separate law enforcement jurisdictions at the city, county, and state levels and compiles these into its annual Uniform Crime Report (UCR). While useful, the UCR provides detailed data only for the largest cities, counties, and metropolitan areas. A complex set of statistical models are used to estimate and forecast risk of each individual crime type by using land use data in conjunction with demographic and business characteristics.