Crime Analysis & Safety Report - City Jackson, AL

Okay, based on the provided crime data for the area represented by GEOID 16000US0138152, we can observe the following crime patterns. Property crime is the most prevalent category, accounting for 42 out of the 79 total reported incidents. Within property crime, Larceny/Theft Offenses are the most frequent, with 24 incidents, followed by Destruction/Damage/Vandalism of Property with 11 incidents. Burglary/Breaking & Entering accounts for 4 incidents, while Motor Vehicle Theft is relatively lower, with 2 incidents. Stolen Property Offenses are the least common within this category, with only 1 incident. Assault is the second most significant crime category, with 31 reported incidents, all classified as Assault Offenses. Robbery is less frequent, with 4 incidents, all categorized as Robbery. The "others" category, encompassing crimes like Bribery and Fraud Offenses, accounts for a minimal 2 incidents, with each subcategory reporting 1 incident. To provide a more comprehensive analysis, we need to correlate this data with demographic information associated with GEOID 16000US0138152. Assuming this GEOID corresponds to a specific location in Alabama, we can infer the following: **City Name:** (Requires reverse GEOID lookup to a specific city) **State Name:** Alabama **Population:** (Requires demographic data linked to the GEOID) **Median Income:** (Requires demographic data linked to the GEOID) Based on the population and total crime count, we can calculate the crime rate per 100,000 residents. For example, if the population is 10,000, the crime rate would be (79/10,000) * 100,000 = 790 per 100,000. The violent crime rate can be calculated by summing the incidents of assault and robbery (31 + 4 = 35) and dividing by the population, then multiplying by 100,000. The property crime rate is calculated similarly, using the total property crime incidents (42). **Violent Crime Rate:** (35/Population) * 100,000 **Property Crime Rate:** (42/Population) * 100,000 The safety score and grade are subjective measures that would typically be derived from a combination of crime rates, community factors, and other relevant data. **Safety Score:** (Requires external data and a scoring methodology) **Safety Grade:** (Requires external data and a grading methodology) Crime map data would involve plotting the locations of these incidents on a map, which is not possible with the provided data alone. Zip code data would also require a reverse GEOID lookup to determine the corresponding zip codes. *Insights:** The data suggests that property crime is a significant concern in this area, particularly larceny/theft and vandalism. While assault is also a notable issue, robbery and other offenses are less prevalent. A deeper understanding of the underlying causes of these crimes would require further investigation and analysis of socioeconomic factors, law enforcement strategies, and community initiatives.