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Neighborhood Crime

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Databricks2024-05-09 收录
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https://marketplace.databricks.com/details/39b2899c-6c20-4f47-83bb-b5023c4d8aee/CoreLogic_Neighborhood-Crime
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**Overview** Neighborhood Crime delivers neighborhood crime statistics in several groupings and under three broader categories (Property, Violent and Total). The product uses hundreds of spatial algorithms to process reported crimes into easily comparable crime statistics, and includes complete coverage for every neighborhood in America. Neighborhood Crime statistics are fully refreshed annually. The raw data is sourced from over 18,000 law enforcement agencies and millions of crime incidents with full national coverage. Product Attributes: - Neighborhood crime risk scores segmented by crime type - Retrospective and future crime risk data **Use cases** - **Risk Analysis** - Businesses and individuals to assess the potential risk associated with a particular neighborhood. The crime statistics can help in understanding the safety of the area, informing decisions about property investment, relocation, or business establishment. - **Asset Valuation** - Crime data can be instrumental in validating the value of a property. High crime rates may negatively impact property values. Thus, this data can be crucial during property valuation or asset assessment. - **Location Data Enrichment** - Enrich location-based datasets. By integrating crime data, businesses can have a more comprehensive view of a neighborhood, improving their location intelligence. - **Market Analysis** - Understanding the crime rates in various neighborhoods can help businesses analyze the market better. It can provide valuable insights into potential business locations, customer behavior patterns, and more. - **Customer Acquisition** - For businesses like insurance providers, real estate agents, or security firms, crime data can inform customer acquisition strategies. Identifying areas with higher crime rates may signal greater demand for their services. - **Personalize Customer Experiences** - Businesses can use crime data to provide personalized experiences to their customers. For instance, a real estate website could provide personalized property suggestions based on the customer's safety preferences. **Product details** - Datasets represented include Neighborhood Crime. - Sample fields include Neighborhood Name, Neighborhood Year, Property Crime Risk, Assult Crime Risk, Murder Crime Risk, Violent Crime Risk, Total Crime Risk and Property Victim Chance.
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CoreLogic
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