Branson West, MO Crime Rate and Safety Report

Based on the provided crime data for the area represented by GEOID 16000US2907989, a detailed analysis reveals the following: The total recorded crime count is 48. Property crime constitutes the most significant portion, with a total count of 28 incidents. Within property crime, Larceny/Theft Offenses are the most prevalent, accounting for 24 incidents, followed by Destruction/Damage/Vandalism of Property with 3 incidents, and Stolen Property Offenses with 1 incident. Assault is the second most common crime category, with a total of 19 incidents, all classified as Assault Offenses. The "others" category accounts for a single incident of Embezzlement. To provide a more comprehensive understanding, additional data points are needed. Assuming GEOID 16000US2907989 corresponds to a specific location, such as a city or census tract, we would need to determine the city and state it represents. Let's hypothetically assume this GEOID represents a portion of Kansas City, Missouri. To further enrich the analysis, we would need the population of this area to calculate crime rates per 100,000 residents. We would also need the median income to assess socioeconomic factors that may correlate with crime rates. Once the population is known, we can calculate the overall crime rate per 100,000 residents, as well as the violent crime rate (based on the assault data) and the property crime rate. These rates would allow for comparison with state and national averages. A safety score and grade could be assigned based on a weighted calculation considering the crime rates, types of crimes, and potentially other factors like police presence and community safety initiatives. Crime map data, which is not provided in the JSON, would typically involve mapping the locations of reported crimes to identify hotspots and patterns. Similarly, zip code data would help to break down the crime statistics by smaller geographic areas. Without the additional contextual data (city, state, population, median income, etc.), the insights are limited to the relative proportions of different crime categories within the provided dataset. The high proportion of Larceny/Theft Offenses within property crime suggests a need for targeted prevention strategies focused on theft. The significant number of Assault Offenses indicates a need to address factors contributing to violent crime in the area. The single incident of Embezzlement, while low in frequency, may warrant attention from law enforcement and regulatory agencies.