Crime Analysis & Safety Report - City Clinton, OH

Based on the provided crime data for the area represented by GEOID 16000US3916182, a total of 28 crimes were recorded. The most prevalent crime category is assault, accounting for 19 incidents, all classified as "Assault Offenses." Property crime represents the second largest category with a total of 9 incidents. Within property crime, "Destruction/Damage/Vandalism of Property" is the most frequent sub-category, with 5 incidents, followed by "Stolen Property Offenses" and "Larceny/Theft Offenses," each with 2 incidents. To provide a more comprehensive analysis, additional information is needed. The GEOID 16000US3916182 represents a specific geographic area, and determining the corresponding city and state is crucial. Once the location is identified, data on population and median income can be obtained from sources like the US Census Bureau. With the population figure, the crime rate per 100,000 residents can be calculated, providing a standardized measure for comparison with other areas. Furthermore, information on violent crime rate and property crime rate can be derived from the sub-category data. The assault incidents would contribute to the violent crime rate, while the "Stolen Property Offenses," "Destruction/Damage/Vandalism of Property," and "Larceny/Theft Offenses" would contribute to the property crime rate. Safety scores and grades are typically calculated based on a combination of factors, including crime rates, law enforcement presence, community safety initiatives, and resident perceptions. Without this additional data, it is not possible to assign a safety score or grade. Similarly, crime map data and zip code-specific data would require access to a more extensive crime database or mapping tool. In terms of insights, the data suggests that assault is a significant concern in this area, warranting further investigation into the specific factors contributing to these offenses. While property crime is less frequent, vandalism is the most common type, indicating a potential need for community-based prevention efforts. A more detailed analysis, incorporating demographic and socioeconomic data, would provide a more nuanced understanding of the crime patterns and inform targeted interventions.