Demographics details for Water valley, MS vs Trenton, NJ
Population Overview
Compare main population characteristics in Water valley, MS vs Trenton, NJ.
Data | Water valley | Trenton |
---|---|---|
Population | 3,361 | 89,661 |
Median Age | 35.8 years | 35.8 years |
Median Income | $45,718 | $44,444 |
Married Families | 27.0% | 24.0% |
Poverty Level | Data is updating | 23% |
Unemployment Rate | 4.3 | 6.6 |
Population Comparison: Water valley vs Trenton
- The population in Trenton is higher at 89,661, compared to 3,361 in Water valley.
- The median age is the same in both Water valley and Trenton at 35.8 years.
- Water valley has a higher median income of $45,718 compared to $44,444 in Trenton.
- A higher percentage of married families is found in Water valley at 27.0% compared to 24.0% in Trenton.
- The poverty level is higher in Trenton at 23%, compared to 0% in Water valley.
- Trenton has a higher unemployment rate at 6.6% compared to 4.3% in Water valley.
Demographics
Demographics Water valley vs Trenton provide insight into the diversity of the communities to compare.
Demographic | Water valley | Trenton |
---|---|---|
Black | 49 | 46 |
White | 49 | 5 |
Asian | Data is updating | 1 |
Hispanic | 2 | 39 |
Two or More Races | Data is updating | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Water valley vs Trenton
- A higher percentage of Black residents are in Water valley at 49% compared to 46% in Trenton.
- Water valley has a higher percentage of White residents at 49% compared to 5% in Trenton.
- In Trenton, the Asian population stands at 1%, greater than 0% in Water valley.
- Trenton has a higher percentage of Hispanic residents at 39%, compared to 2% in Water valley.
- The percentage of residents identifying as two or more races is higher in Trenton at 9%, compared to 0% in Water valley.
- The percentage of American Indian residents is the same in both Water valley and Trenton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Water valley | Trenton |
---|---|---|
Mental Health Not Good | 18.2% | 18.6% |
Physical Health Not Good | 13.8% | 15.9% |
Depression | 22.0% | 20.3% |
Smoking | 23.1% | 23.8% |
Binge Drinking | 12.9% | 12.8% |
Obesity | 44.0% | 34.1% |
Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Water valley vs Trenton
- In Trenton, a higher percentage report poor mental health at 18.6% compared to 18.2% in Water valley.
- Depression is more prevalent in Water valley at 22.0% compared to 20.3% in Trenton.
- Trenton has a higher smoking rate at 23.8% compared to 23.1% in Water valley.
- Binge drinking is more common in Water valley at 12.9% compared to 12.8% in Trenton.
- Obesity rates are higher in Water valley at 44.0% compared to 34.1% in Trenton.
- Disability percentages are the same in both Water valley and Trenton at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Water valley | Trenton |
---|---|---|
No Schooling | 1.0% (34) | 3.0% (2,659) |
High School Diploma | 24.0% (805) | 22.6% (20,286) |
Less than High School | 13.0% (437) | 26.6% (23,872) |
Bachelor's Degree and Higher | 9.6% (322) | 10.4% (9,327) |
Education Levels Comparison: Water valley vs Trenton
- In Trenton, a larger percentage of residents lack formal schooling at 3.0% compared to 1.0% in Water valley.
- A higher percentage of residents in Water valley hold a high school diploma at 24.0% compared to 22.6% in Trenton.
- The percentage of residents with less than a high school education is higher in Trenton at 26.6%, compared to 13.0% in Water valley.
- In Trenton, a larger share of residents have a bachelor's degree or higher at 10.4% compared to 9.6% in Water valley.
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.