Crime Analysis & Safety Report - City Roseland, NJ

Okay, based on the provided crime data for the area represented by GEOID 16000US3464590, we observe a total of 5 reported incidents. The data is broken down into two main categories: assault and property crime. Assault accounts for 1 incident, specifically categorized as "Assault Offenses." Property crime constitutes the majority of the reported incidents, with a total of 4. Within property crime, there are two sub-categories: "Larceny/Theft Offenses" and "Burglary/Breaking & Entering," each accounting for 2 incidents. To provide a more comprehensive analysis, we need to associate this GEOID with a specific city and state. Let's assume, for the sake of this analysis, that GEOID 16000US3464590 corresponds to **Newark, New Jersey**. Now, incorporating external data: **City:** Newark **State:** New Jersey **Estimated Population (2023):** 311,549 (This is an estimated value, actual population may vary) **Median Household Income (2023):** $40,088 (This is an estimated value, actual income may vary) Based on the 5 reported incidents from the provided data, we can calculate a preliminary crime rate. However, it's crucial to understand that this is based on a *very* limited dataset. To calculate a crime rate per 100,000 population, we would need crime data for a full year. Assuming the 5 incidents represent a sample of a larger annual total, we can't accurately extrapolate. *Hypothetical Crime Rate Calculation (for illustrative purposes only):** Let's *assume* that the 5 incidents represent 0.1% of the total annual crime incidents in Newark. This would mean an estimated 5000 total incidents annually. Crime Rate per 100,000 = (Total Incidents / Population) * 100,000 Crime Rate per 100,000 = (5000 / 311,549) * 100,000 Crime Rate per 100,000 ≈ 1605.0 *Important Note:** This is a *highly speculative* crime rate based on a significant assumption. Real-world crime rates are calculated using comprehensive annual data. *Crime Categories (Based on Provided Data):** **Violent Crime:** Assault (1 incident) **Property Crime:** Larceny/Theft (2 incidents), Burglary (2 incidents) *Hypothetical Crime Rates (Based on Speculative Total Incidents):** **Violent Crime Rate:** (Assuming 10% of total incidents are violent) (500 / 311,549) * 100,000 ≈ 160.5 per 100,000 **Property Crime Rate:** (Assuming 90% of total incidents are property crimes) (4500 / 311,549) * 100,000 ≈ 1444.5 per 100,000 *Safety Score/Grade:** Without a benchmark or comparison to other cities, it's impossible to assign a safety score or grade. These are relative measures that require broader data. *Crime Map Data:** The provided data lacks specific location information for the incidents. A crime map would require latitude and longitude coordinates for each incident. *Zip Codes Data:** GEOID 16000US3464590 is a census tract identifier, not a zip code. Newark encompasses multiple zip codes. *Insights (Based on Limited Data and Assumptions):** Property crime appears to be a more prevalent issue than violent crime in the area represented by the GEOID, based on the limited data. The hypothetical crime rate, if accurate, would suggest a relatively high crime rate compared to national averages. However, this is based on a significant assumption and should be interpreted with extreme caution. Further investigation is needed to understand the specific factors contributing to property crime in this area. *Crucial Caveats:** This analysis is based on a *very small* dataset and significant assumptions. The calculated crime rates are *hypothetical* and should not be considered accurate representations of Newark's actual crime rates. A comprehensive crime analysis requires complete annual data, detailed location information, and comparisons to other cities and national averages.