Crime Analysis & Safety Report - City Canby, OR

Okay, based on the provided crime data for the area represented by GEOID 16000US4110750, we observe a total crime count of 81 incidents. Property crime constitutes the most significant portion of the reported offenses, with a total count of 43. Within property crime, larceny/theft offenses are the most prevalent, accounting for 24 incidents, followed by destruction/damage/vandalism of property with 11 incidents. Motor vehicle theft and stolen property offenses each contribute 4 incidents to the property crime total. Assault is the second most frequent crime category, with 34 reported incidents, all classified as assault offenses. Robbery accounts for a smaller portion of the overall crime, with 3 reported incidents. Sex offenses are the least frequent, with a single reported incident classified as a non-forcible sex offense. To provide a more comprehensive analysis, we need to associate the GEOID with a specific location and incorporate demographic data. Assuming GEOID 16000US4110750 corresponds to a specific area within Oregon, we can infer some context. Without knowing the exact location, it's impossible to provide precise figures for population, median income, crime rate per 100k, safety score, safety grade, violent crime rate, property crime rate, crime map data, and zip codes. However, we can illustrate how these elements would be integrated if the location were known. For example, if GEOID 16000US4110750 represented a neighborhood in Portland, Oregon, and that neighborhood had a population of 5,000, the overall crime rate would be 1,620 per 100,000 residents (81 incidents / 5,000 residents * 100,000). The violent crime rate (assault, robbery, and sex offenses) would be 760 per 100,000 (38 incidents / 5,000 residents * 100,000), and the property crime rate would be 860 per 100,000 (43 incidents / 5,000 residents * 100,000). A safety score and grade would then be assigned based on these rates relative to other areas, considering factors like median income and population density. Crime map data would visually represent the distribution of these incidents within the neighborhood. Zip code data would further refine the geographic context. *Insights (Hypothetical):** Based on the hypothetical example above, the property crime rate is slightly higher than the violent crime rate. The high number of larceny/theft offenses suggests a need for increased preventative measures against theft. The relatively low number of sex offenses and robberies might indicate that these are not major concerns in this specific area, but continued monitoring is essential. A more detailed analysis would require comparing these rates to city, state, and national averages to determine if they are significantly higher or lower than expected.