Demographics details for Trenton, NJ vs Crystal springs, MS
Population Overview
Compare main population characteristics in Trenton, NJ vs Crystal springs, MS.
Data | Trenton | Crystal springs |
---|---|---|
Population | 89,661 | 4,700 |
Median Age | 35.8 years | 45.3 years |
Median Income | $44,444 | $44,653 |
Married Families | 24.0% | 28.0% |
Poverty Level | 23% | 12% |
Unemployment Rate | 6.6 | 3.5 |
Population Comparison: Trenton vs Crystal springs
- In Trenton, the population is higher at 89,661, compared to 4,700 in Crystal springs.
- The median age in Crystal springs is higher at 45.3 years, compared to 35.8 years in Trenton.
- Crystal springs has a higher median income of $44,653, compared to $44,444 in Trenton.
- In Crystal springs, the percentage of married families is higher at 28.0%, compared to 24.0% in Trenton.
- Trenton has a higher poverty level at 23% compared to 12% in Crystal springs.
- The unemployment rate in Trenton is higher at 6.6%, compared to 3.5% in Crystal springs.
Demographics
Demographics Trenton vs Crystal springs provide insight into the diversity of the communities to compare.
Demographic | Trenton | Crystal springs |
---|---|---|
Black | 46 | 66 |
White | 5 | 24 |
Asian | 1 | Data is updating |
Hispanic | 39 | 6 |
Two or More Races | 9 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Trenton vs Crystal springs
- In Crystal springs, the percentage of Black residents is higher at 66% compared to 46% in Trenton.
- The percentage of White residents is higher in Crystal springs at 24% compared to 5% in Trenton.
- The Asian population is larger in Trenton at 1% compared to 0% in Crystal springs.
- The Hispanic community is larger in Trenton at 39% compared to 6% in Crystal springs.
- More residents identify as two or more races in Trenton at 9% compared to 4% in Crystal springs.
- The percentage of American Indian residents is the same in both Trenton and Crystal springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Trenton | Crystal springs |
---|---|---|
Mental Health Not Good | 18.6% | 18.5% |
Physical Health Not Good | 15.9% | 14.9% |
Depression | 20.3% | 21.5% |
Smoking | 23.8% | 24.2% |
Binge Drinking | 12.8% | 12.2% |
Obesity | 34.1% | 45.8% |
Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Trenton vs Crystal springs
- More residents in Trenton report poor mental health at 18.6% compared to 18.5% in Crystal springs.
- Higher depression rates are seen in Crystal springs at 21.5% versus 20.3% in Trenton.
- Crystal springs has a higher smoking rate at 24.2% compared to 23.8% in Trenton.
- Binge drinking is more common in Trenton at 12.8% compared to 12.2% in Crystal springs.
- Crystal springs has higher obesity rates at 45.8% compared to 34.1% in Trenton.
- There is a higher percentage of disabled individuals in Crystal springs at 18.0% compared to 14.0% in Trenton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Trenton | Crystal springs |
---|---|---|
No Schooling | 3.0% (2,659) | 2.0% (94) |
High School Diploma | 22.6% (20,286) | 12.1% (568) |
Less than High School | 26.6% (23,872) | 20.1% (945) |
Bachelor's Degree and Higher | 10.4% (9,327) | 19.5% (915) |
Education Levels Comparison: Trenton vs Crystal springs
- A higher percentage of residents in Trenton have no formal schooling at 3.0% compared to 2.0% in Crystal springs.
- A higher percentage of residents in Trenton hold a high school diploma at 22.6% compared to 12.1% in Crystal springs.
- More residents in Trenton have less than a high school education at 26.6% compared to 20.1% in Crystal springs.
- In Crystal springs, a larger share of residents have a bachelor's degree or higher at 19.5% 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.