Red Oak, TX Crime Rate and Safety Report

Based on the provided crime data for an area identified by the GEOID "16000US4861196", a total of 135 crimes were recorded. The most prevalent crime category is property crime, accounting for 72 incidents. Within property crime, larceny/theft offenses are the most frequent, with 59 incidents, followed by motor vehicle theft (6 incidents), destruction/damage/vandalism of property (5 incidents), burglary/breaking & entering (1 incident), and stolen property offenses (1 incident). Assault is the second most frequent crime category, with 47 incidents, all classified as assault offenses. The "others" category includes 10 incidents, comprising fraud offenses (8 incidents), arson (1 incident), and counterfeiting/forgery (1 incident). Sex offenses account for 4 incidents, all categorized as sex offenses. Homicide and robbery are the least frequent, with 1 incident each, classified as homicide offenses and robbery, respectively. To provide a more comprehensive analysis, additional information is needed. The GEOID "16000US4861196" represents a specific geographic area, but without cross-referencing it with a gazetteer or geographic database, the corresponding city and state cannot be determined. Furthermore, the population and median income for this area are not provided in the given data. Assuming we can obtain the city and state from the GEOID, we can then estimate the crime rate per 100,000 population by dividing the total crime count (135) by the population and multiplying by 100,000. The violent crime rate can be calculated by summing the counts for homicide, robbery, assault, and sex offenses (1 + 1 + 47 + 4 = 53) and dividing by the population, then multiplying by 100,000. The property crime rate can be calculated by dividing the property crime count (72) by the population and multiplying by 100,000. A safety score and grade could be assigned based on a comparison of these crime rates to national averages or benchmarks. A lower crime rate would generally correspond to a higher safety score and grade. Crime map data, typically visualized using geographic information systems (GIS), would require the precise locations of the reported crimes, which are not included in this dataset. Zip code data would also need to be obtained separately and linked to the GEOID to provide crime statistics at the zip code level. Based on the data, the high proportion of larceny/theft offenses within the property crime category suggests that theft is a significant issue in this area. The relatively low number of violent crimes compared to property crimes might indicate that the area experiences more non-violent crime. However, without additional context and comparative data, it is difficult to draw definitive conclusions about the overall safety and crime trends in this area.