High Risk
per 1000 residents
Duquesne, PA demonstrates excellent safety with a A+ safety rating. The area maintains low crime rates and is considered very safe for residents and visitors.
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 relatively low crime count of 116 incidents suggests Duquesne maintains good community safety standards.
Duquesne demonstrates crime rates well below national averages, showcasing effective community safety initiatives.
Based on the provided crime data for the area represented by GEOID 16000US4220432, a total of 116 incidents were recorded. The most prevalent crime category is assault, accounting for 70 incidents, all classified as Assault Offenses. Property crime is the second most frequent category, with 39 incidents. Within property crime, Stolen Property Offenses are the most common (24 incidents), followed by Destruction/Damage/Vandalism of Property (6 incidents), Burglary/Breaking & Entering (3 incidents), and Larceny/Theft Offenses (6 incidents). The "others" category accounts for 6 incidents, all classified as Fraud Offenses. Robbery is the least frequent category, with only 1 incident reported. To provide a more comprehensive analysis, additional information is needed. GEOID 16000US4220432 represents a specific census tract. To determine the city and state, a GEOID lookup would be required. Once the location is identified, data on population, median income, and zip codes can be obtained from census data or other demographic resources. With the population data, the crime rate per 100,000 residents can be calculated by dividing the total number of crimes (116) by the population and multiplying by 100,000. The violent crime rate would be calculated using the number of assault and robbery incidents (71) and the property crime rate using the 39 property crime incidents, both per 100,000 residents. A safety score and grade typically incorporate various factors, including crime rates, police presence, community initiatives, and resident perceptions. Without this additional data, a safety score and grade cannot be accurately determined. Crime map data, which visually represents the geographic distribution of crime incidents, is also not provided in the JSON data. Based on the data, the area faces a significant challenge with assault offenses. While property crime is also a concern, the high number of stolen property offenses suggests potential issues with theft and resale networks. The low incidence of robbery might indicate a lower risk of violent confrontations during property crimes. Further investigation into the specific types of assault and stolen property offenses would provide more targeted insights for crime prevention strategies.
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