Crime Analysis & Safety Report - City Garden City, KS

Okay, based on the provided crime data for the area represented by GEOID "16000US2025325", we can observe the following crime patterns. The total count of reported incidents is 438. Assault is the most prevalent crime category, accounting for 203 incidents, all classified as "Assault Offenses." Property crime is the second most frequent, with a total of 188 incidents. Within property crime, "Larceny/Theft Offenses" are the most common (124 incidents), followed by "Destruction/Damage/Vandalism of Property" (39 incidents), "Motor Vehicle Theft" (12 incidents), "Burglary/Breaking & Entering" (9 incidents), and "Stolen Property Offenses" (4 incidents). Sex offenses account for 30 incidents, with "Kidnapping/Abduction" being the most frequent subcategory (22 incidents), followed by "Sex Offenses" (8 incidents). Robbery is relatively low, with 7 incidents, all classified as "Robbery." The "others" category includes 10 incidents, primarily "Fraud Offenses" (8 incidents), with single incidents of "Counterfeiting/Forgery" and "Embezzlement." To provide a more comprehensive analysis, we need to determine the city and state associated with the GEOID "16000US2025325." A GEOID is a geographic identifier, and in this case, it represents a place within the United States. Once we identify the city and state, we can gather additional data such as population, median income, and calculate crime rates per 100,000 residents. Let's assume, for the sake of demonstration, that GEOID "16000US2025325" corresponds to Manhattan, Kansas. According to recent estimates, Manhattan, Kansas, has a population of approximately 54,000 and a median household income of around $58,000. Based on the provided crime data (438 total incidents) and the assumed population (54,000), the overall crime rate would be approximately 811 per 100,000 residents. To break this down further, we need to categorize the crimes into violent and property crimes. Violent crimes typically include robbery, assault, and sex offenses. In this dataset, that's 7 (robbery) + 203 (assault) + 30 (sex offenses) = 240 violent crimes. This translates to a violent crime rate of approximately 444 per 100,000 residents. Property crimes include destruction/damage/vandalism, burglary, larceny/theft, motor vehicle theft, and stolen property offenses. In this dataset, that's 39 + 9 + 124 + 12 + 4 = 188 property crimes. This translates to a property crime rate of approximately 348 per 100,000 residents. It's important to note that these calculations are based on the assumption that GEOID "16000US2025325" represents Manhattan, Kansas. The actual city and state need to be confirmed for accurate analysis. Without additional context or a defined scoring system, it's impossible to assign a safety score or safety grade. These metrics typically involve comparing crime rates to national averages or other similar cities, and considering factors like police presence, community programs, and other safety initiatives. Crime map data would require geocoding each individual incident to pinpoint its location. This would allow for visualization of crime hotspots and patterns within the area. Zip code data would also be helpful for a more granular analysis of crime trends within specific neighborhoods. Based on the data, the most pressing concern appears to be assault, which accounts for a significant portion of the reported incidents. Larceny/theft is also a notable issue within the property crime category. The relatively high number of kidnapping/abduction incidents within the sex offenses category warrants further investigation and attention.