Demographics details for Trenton, NJ vs Oceanside, NY
Population Overview
Compare main population characteristics in Trenton, NJ vs Oceanside, NY.
Data | Trenton | Oceanside |
---|---|---|
Population | 89,661 | 31,488 |
Median Age | 35.8 years | 45.8 years |
Median Income | $44,444 | $136,997 |
Married Families | 24.0% | 50.0% |
Poverty Level | 23% | 4% |
Unemployment Rate | 6.6 | 3.2 |
Population Comparison: Trenton vs Oceanside
- In Trenton, the population is higher at 89,661, compared to 31,488 in Oceanside.
- The median age in Oceanside is higher at 45.8 years, compared to 35.8 years in Trenton.
- Oceanside has a higher median income of $136,997, compared to $44,444 in Trenton.
- In Oceanside, the percentage of married families is higher at 50.0%, compared to 24.0% in Trenton.
- Trenton has a higher poverty level at 23% compared to 4% in Oceanside.
- The unemployment rate in Trenton is higher at 6.6%, compared to 3.2% in Oceanside.
Demographics
Demographics Trenton vs Oceanside provide insight into the diversity of the communities to compare.
Demographic | Trenton | Oceanside |
---|---|---|
Black | 46 | 3 |
White | 5 | 71 |
Asian | 1 | 3 |
Hispanic | 39 | 16 |
Two or More Races | 9 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Trenton vs Oceanside
- A higher percentage of Black residents are in Trenton at 46% compared to 3% in Oceanside.
- The percentage of White residents is higher in Oceanside at 71% compared to 5% in Trenton.
- In Oceanside, the Asian population stands at 3%, greater than 1% in Trenton.
- The Hispanic community is larger in Trenton at 39% compared to 16% in Oceanside.
- More residents identify as two or more races in Trenton at 9% compared to 7% in Oceanside.
- The percentage of American Indian residents is the same in both Trenton and Oceanside at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Trenton | Oceanside |
---|---|---|
Mental Health Not Good | 18.6% | 13.7% |
Physical Health Not Good | 15.9% | 8.3% |
Depression | 20.3% | 17.6% |
Smoking | 23.8% | 11.7% |
Binge Drinking | 12.8% | 18.5% |
Obesity | 34.1% | 26.9% |
Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Trenton vs Oceanside
- More residents in Trenton report poor mental health at 18.6% compared to 13.7% in Oceanside.
- Depression is more prevalent in Trenton at 20.3% compared to 17.6% in Oceanside.
- Smoking is more prevalent in Trenton at 23.8% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.5% compared to 12.8% in Trenton.
- Obesity rates are higher in Trenton at 34.1% compared to 26.9% in Oceanside.
- Disability percentages are higher in Trenton at 14.0% compared to 9.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Trenton | Oceanside |
---|---|---|
No Schooling | 3.0% (2,659) | 0.8% (241) |
High School Diploma | 22.6% (20,286) | 16.5% (5,186) |
Less than High School | 26.6% (23,872) | 7.5% (2,349) |
Bachelor's Degree and Higher | 10.4% (9,327) | 34.5% (10,876) |
Education Levels Comparison: Trenton vs Oceanside
- A higher percentage of residents in Trenton have no formal schooling at 3.0% compared to 0.8% in Oceanside.
- A higher percentage of residents in Trenton hold a high school diploma at 22.6% compared to 16.5% in Oceanside.
- More residents in Trenton have less than a high school education at 26.6% compared to 7.5% in Oceanside.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 34.5% compared to 10.4% in Trenton.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.