Crime Analysis & Safety Report - City Lebanon, TN

Based on the provided crime data for the area represented by GEOID 16000US4741520, a detailed analysis reveals several key trends. The total crime count stands at 541 incidents. Property crime is the most prevalent category, accounting for 206 incidents. Within property crime, Larceny/Theft Offenses are the most frequent, with 106 incidents, followed by Destruction/Damage/Vandalism of Property at 40 incidents, Stolen Property Offenses at 33 incidents, Motor Vehicle Theft at 17 incidents, and Burglary/Breaking & Entering at 10 incidents. Assault offenses are also significant, totaling 253 incidents. Robbery is relatively low, with only 7 incidents. Other offenses include 61 incidents, with Fraud Offenses being the most common at 47 incidents, followed by Counterfeiting/Forgery and Embezzlement, each with 6 incidents, and Arson with 2 incidents. Sex offenses account for 14 incidents, including Kidnapping/Abduction at 7 incidents and Sex Offenses at 6 and 1 incidents. To provide a comprehensive safety profile, additional data is needed. Assuming GEOID 16000US4741520 represents an area within Tennessee, we can estimate the following based on state averages and potential city matches: **City Name:** This requires reverse GEOID lookup. Assuming it's a smaller area within Nashville, we'll use Nashville as a proxy for broader context. **State Name:** Tennessee **Population:** Requires GEOID specific data. For Nashville, the population is approximately 700,000. **Median Income:** Requires GEOID specific data. Nashville's median household income is around $65,000. **Crime Rate per 100k:** (541 / Population) * 100,000. If we assume the population for the GEOID is 10,000, the crime rate would be 5410 per 100k. **Safety Score/Grade:** This is derived from crime rates compared to national averages. A high crime rate would result in a lower safety score and grade (e.g., C or D). **Violent Crime Rate:** (Assault + Robbery + Sex Offenses) / Population * 100,000. Using the assumed population of 10,000: (253 + 7 + 14) / 10,000 * 100,000 = 2740 per 100k. **Property Crime Rate:** (Property Crime) / Population * 100,000. Using the assumed population of 10,000: 206 / 10,000 * 100,000 = 2060 per 100k. **Crime Map Data:** This would require mapping the incidents geographically, which isn't possible with the provided data alone. **Zip Codes Data:** Requires GEOID to zip code conversion. *Insights:** The data suggests that property crime and assault are the most significant concerns in this area. The high number of larceny/theft offenses indicates a need for increased preventative measures against theft. While robbery and sex offenses are lower in number, they still warrant attention. The prevalence of fraud offenses within the "other" category suggests a need for awareness and prevention programs related to financial crimes. The relatively high violent crime rate, driven by assault offenses, is a major concern.