Crime Analysis & Safety Report - City Huntingdon, TN

Okay, based on the provided crime data for the area represented by GEOID 16000US4736580, we observe a total crime count of 55 incidents. The predominant crime category is property crime, accounting for 35 of the 55 incidents. Within property crime, larceny/theft offenses are the most frequent, with 30 incidents reported. Other property crimes include burglary/breaking & entering (1 incident), motor vehicle theft (1 incident), and destruction/damage/vandalism of property (3 incidents). Assault is the second most prevalent crime category, with 18 incidents, all classified as assault offenses. The "others" category accounts for the remaining 2 incidents, comprising arson (1 incident) and fraud offenses (1 incident). To provide a more comprehensive analysis, we need to determine the city and state associated with GEOID 16000US4736580. A GEOID of this format (13 digits) typically represents a Census Designated Place (CDP). Based on this GEOID format, we can determine that the state is Tennessee (47) and the CDP is likely in that state. Further research using census data would be required to pinpoint the exact CDP. Once the city and state are identified, we can gather additional data such as population, median income, and zip codes. With the population figure, we can calculate the crime rate per 100,000 residents, providing a standardized measure for comparison with other areas. The violent crime rate can be calculated by summing the assault offenses and any other violent crimes identified in a more detailed dataset (e.g., robbery, homicide) and dividing by the population. Similarly, the property crime rate is calculated by dividing the total number of property crimes by the population. The safety score and safety grade are subjective measures that typically incorporate crime rates, community factors, and resident perceptions. These scores are often generated by third-party organizations. Crime map data, usually visualized through online platforms, would require integration with a mapping service and geocoded crime data (latitude and longitude). Without the city and state name, population, and other contextual data, it's challenging to provide deeper insights. However, based solely on the provided crime data, the area appears to be more affected by property crime, particularly larceny/theft, than by violent crime. Further investigation is needed to understand the specific factors contributing to these crime patterns and to develop targeted crime prevention strategies.