Millville, NJ Crime Rate and Safety Report

Okay, based on the provided crime data for the area represented by GEOID 16000US3446680, here's a detailed analysis: The total reported crime count is 534 incidents. Property crime constitutes the most significant portion of the criminal activity, with 282 incidents. Within property crime, larceny/theft offenses are the most prevalent, accounting for 243 incidents, followed by destruction/damage/vandalism of property with 22 incidents, burglary/breaking & entering with 11 incidents, and motor vehicle theft with 6 incidents. Assault is the second most frequent crime category, with 232 incidents, all classified as assault offenses. Robbery accounts for 6 incidents, all categorized as robbery. Sex offenses are relatively low, with 5 incidents, all classified as sex offenses. Homicide is the least frequent, with 3 incidents, all classified as homicide offenses. The "others" category includes 6 incidents, with fraud offenses accounting for 4 and counterfeiting/forgery accounting for 2. To provide a more comprehensive analysis, additional information is needed. The GEOID "16000US3446680" corresponds to a specific location, and we need to determine the city and state it represents. Once we identify the city and state, we can gather data on population and median income. With the population data, we can calculate the crime rate per 100,000 residents for each crime category and overall. This will allow for a standardized comparison against national and state averages. Furthermore, a safety score and grade can be assigned based on the crime rates, comparing them to benchmarks and considering factors like the severity of crimes and community policing efforts. The violent crime rate can be calculated by combining the incidents of robbery, assault, sex offenses, and homicide. The property crime rate is directly derived from the total property crime incidents. Crime map data, typically visualized using geographic information systems (GIS), would require mapping the individual crime incidents to specific locations within the area. This would reveal crime hotspots and patterns. Zip code data would also be beneficial for a more granular analysis, allowing us to identify areas with higher or lower crime rates within the city. Without the city and state name, population, and median income, it's impossible to calculate crime rates, assign safety scores, or provide a complete picture of the area's safety. However, based on the raw numbers, property crime and assault are the most pressing concerns.