High Risk
per 1000 residents
The area has very low safety standards with a D rating. Residents should be aware of their surroundings and take appropriate precautions.
Given the higher rate of violent crimes (60.8% of total incidents), residents should prioritize personal safety measures, avoid walking alone at night, and stay informed about local safety alerts.
The high crime volume of 3,235 incidents indicates this is an active urban area. The most common crime type is assault.
Crime rates in Henderson align with national averages, suggesting typical urban safety patterns.
Based on the provided crime data for the area with GEOID 16000US3231900, a detailed analysis reveals several key trends. Property crime is the most prevalent category, accounting for 1166 out of the 3235 total incidents. Within property crime, Larceny/Theft Offenses are the most frequent, with 666 incidents, followed by Stolen Property Offenses (199 incidents) and Destruction/Damage/Vandalism of Property (178 incidents). Burglary/Breaking & Entering accounts for 63 incidents, while Motor Vehicle Theft is the least common within this category, with 60 incidents. Assault is the second most significant crime category, with 1882 incidents, all classified as Assault Offenses. Robbery, categorized solely as Robbery, accounts for 80 incidents. Other crimes, including Embezzlement (11 incidents), Fraud Offenses (42 incidents), Counterfeiting/Forgery (6 incidents), and Arson (4 incidents), total 63 incidents. Sex offenses are relatively low, with a total of 40 incidents, including Kidnapping/Abduction (10 incidents), Sex Offenses, Non-forcible (5 incidents), and Sex Offenses (25 incidents). Homicide is the least frequent, with a total of 4 incidents, all classified as Homicide Offenses. To provide a more comprehensive analysis, additional data is needed. The city and state associated with GEOID 16000US3231900 are required to determine the population, median income, and calculate crime rates per 100k. This information would allow for a comparison against national averages and peer cities, providing a more contextualized understanding of the crime landscape. Furthermore, zip code-level data and crime map visualizations would enhance the analysis by identifying specific hotspots and patterns within the area. Without this additional information, the analysis is limited to the relative distribution of crime categories within the provided dataset.
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