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 (61.2% 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 6,340 incidents indicates this is an active urban area. The most common crime type is assault.
Crime rates in Mililani Town are significantly higher than national averages, indicating the need for enhanced law enforcement and community programs.
Based on the provided crime data for an area identified by the GEOID "16000US1551050", a detailed analysis reveals several key insights. The total count of reported crimes is 6,340. The most prevalent crime category is assault, with 3,767 incidents, all classified as "Assault Offenses." Property crime accounts for a significant portion, totaling 2,100 incidents, with "Larceny/Theft Offenses" being the most frequent at 1,465. Other notable property crimes include "Stolen Property Offenses" (357), "Burglary/Breaking & Entering" (137), "Destruction/Damage/Vandalism of Property" (62), and "Motor Vehicle Theft" (79). Sex offenses are relatively lower, with a total of 127 incidents, primarily categorized as "Sex Offenses" (105 incidents when combined). Robbery accounts for 110 incidents, all classified as "Robbery." Homicide is the least frequent, with only 5 reported incidents. The "others" category includes 231 incidents, encompassing "Fraud Offenses" (125), "Counterfeiting/Forgery" (63), "Arson" (28), "Human Trafficking" (11), "Embezzlement" (3), and "Bribery" (1). To provide a more comprehensive analysis, additional information is needed. The city and state associated with the GEOID "16000US1551050" are required to determine the population, median income, and calculate crime rates per 100k. Once the population is known, the violent crime rate can be calculated by summing the incidents of assault, homicide, robbery, and sex offenses, then dividing by the population and multiplying by 100,000. Similarly, the property crime rate can be calculated using the total property crime incidents. A safety score and grade would typically be derived from a combination of these crime rates, potentially weighted based on the severity of different crime types. Crime map data and zip codes would further enhance the analysis by providing geographic context and enabling localized crime pattern identification.
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