Nekoosa, WI Crime Rate and Safety Report

Based on the available crime data for the area represented by GEOID 16000US5555875, a detailed analysis reveals the following: The total reported crime count is 16. The primary crime categories are property crime and assault. Property crime accounts for a significant portion, with a total count of 9 incidents. Within property crime, the sub-categories include "Destruction/Damage/Vandalism of Property," which accounts for 3 incidents, and "Larceny/Theft Offenses," which accounts for 6 incidents. Assault is the other main category, with a total count of 7 incidents, all classified as "Assault Offenses." To provide a more comprehensive understanding, additional data points are needed. Assuming GEOID 16000US5555875 represents a specific location within Wisconsin, we can infer some contextual information. Without the specific city name, I will use a hypothetical city within Wisconsin for illustrative purposes. Let's assume this GEOID corresponds to a neighborhood within "Example City," Wisconsin. To calculate the crime rate per 100,000 residents, we need the population of "Example City." Let's assume the population is 50,000. Based on the total crime count of 16, the crime rate per 100,000 would be (16 / 50,000) * 100,000 = 32. This is a relatively low crime rate compared to national averages. To determine the safety score and grade, we need to compare this crime rate to other cities and neighborhoods. A safety score is typically a numerical representation of the overall safety level, while a safety grade is a letter grade (e.g., A, B, C) assigned based on the score. Without comparative data, it's challenging to assign a precise score or grade. However, given the low crime rate, we might estimate a preliminary safety score of 75 out of 100 and a grade of "B." To calculate the violent crime rate, we use the assault data. With 7 assault incidents in a population of 50,000, the violent crime rate per 100,000 would be (7 / 50,000) * 100,000 = 14. The property crime rate, based on 9 property crime incidents, would be (9 / 50,000) * 100,000 = 18. Additional data, such as median income, zip codes, and crime map data, would provide a more granular understanding of the area. Median income can indicate socioeconomic factors that may correlate with crime rates. Zip code data would allow for a more localized analysis of crime patterns. Crime map data would visually represent crime hotspots and trends. In summary, based on the limited data, "Example City," Wisconsin, appears to have a relatively low crime rate, with property crime and assault being the primary categories. However, a more detailed analysis requires additional data points, including population, median income, comparative crime rates, and geographic crime data.