Woodland Park, NJ Crime Rate and Safety Report

Okay, based on the provided crime data for the area represented by GEOID 16000US3482423, a detailed analysis reveals the following: The total reported crime count is 17. The most prevalent crime category is assault, accounting for 12 incidents, all classified as "Assault Offenses." Property crime is the second most significant category, with a total of 4 incidents. Within property crime, "Larceny/Theft Offenses" are more common, with 3 incidents, compared to "Motor Vehicle Theft," which has 1 incident. A single incident falls under the "others" category and is classified as "Arson." To provide a more comprehensive understanding, let's assume GEOID 16000US3482423 corresponds to a specific location. For example, let's assume it represents a portion of Newark, New Jersey. Newark, NJ, has a population of approximately 310,000 and a median household income of around $40,000. Given the total crime count of 17, we can estimate a preliminary crime rate. However, to calculate a crime rate per 100,000 residents, we need to know the exact population represented by GEOID 16000US3482423, which is a subset of Newark. Assuming, for example, that the GEOID represents an area with a population of 5,000, the crime rate would be approximately 340 per 100,000. Without specific data on violent crime versus property crime rates for this particular GEOID, we can infer from the category counts. Assaults, being violent crimes, account for 12 incidents. Property crimes (larceny/theft and motor vehicle theft) account for 4 incidents. This suggests a higher incidence of violent crime compared to property crime within this specific area. A safety score and grade would typically be derived from a combination of factors, including crime rates, police presence, community initiatives, and other socio-economic indicators. Without this additional data, it's impossible to assign a specific safety score or grade. Crime map data, which would visually represent the spatial distribution of these crimes, is not provided in the JSON. Similarly, zip code-level data is not directly available but could be inferred if the GEOID's boundaries are known and can be mapped to specific zip codes within Newark. Based on the limited data, the key insight is that assault offenses are the most significant crime concern in this area. Property crime, while present, is less frequent. The single arson incident also warrants attention. A more detailed analysis would require population data specific to the GEOID, a breakdown of violent versus property crime rates, and contextual information about the surrounding environment.