Demographics details for South river, NJ vs Fall branch, TN
Population Overview
Compare main population characteristics in South river, NJ vs Fall branch, TN.
Data | South river | Fall branch |
---|---|---|
Population | 15,990 | 984 |
Median Age | 37.1 years | 48.9 years |
Median Income | $95,981 | $41,884 |
Married Families | 39.0% | 54.0% |
Poverty Level | 8% | 11% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: South river vs Fall branch
- In South river, the population is higher at 15,990, compared to 984 in Fall branch.
- The median age in Fall branch is higher at 48.9 years, compared to 37.1 years in South river.
- South river has a higher median income of $95,981 compared to $41,884 in Fall branch.
- In Fall branch, the percentage of married families is higher at 54.0%, compared to 39.0% in South river.
- The poverty level is higher in Fall branch at 11%, compared to 8% in South river.
- The unemployment rate in South river is higher at 4.2%, compared to 3.5% in Fall branch.
Demographics
Demographics South river vs Fall branch provide insight into the diversity of the communities to compare.
Demographic | South river | Fall branch |
---|---|---|
Black | 7 | Data is updating |
White | 50 | 100 |
Asian | 5 | Data is updating |
Hispanic | 30 | Data is updating |
Two or More Races | 7 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: South river vs Fall branch
- A higher percentage of Black residents are in South river at 7% compared to 0% in Fall branch.
- The percentage of White residents is higher in Fall branch at 100% compared to 50% in South river.
- The Asian population is larger in South river at 5% compared to 0% in Fall branch.
- The Hispanic community is larger in South river at 30% compared to 0% in Fall branch.
- More residents identify as two or more races in South river at 7% compared to 0% in Fall branch.
- A greater percentage of American Indian residents live in South river at 1% compared to 0% in Fall branch.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South river | Fall branch |
---|---|---|
Mental Health Not Good | 16.0% | 17.9% |
Physical Health Not Good | 10.4% | 11.7% |
Depression | 21.0% | 28.3% |
Smoking | 14.6% | 19.7% |
Binge Drinking | 16.0% | 16.7% |
Obesity | 31.6% | 28.9% |
Disability Percentage | 11.0% | 23.0% |
Health Statistics Comparison: South river vs Fall branch
- In Fall branch, a higher percentage report poor mental health at 17.9% compared to 16.0% in South river.
- Higher depression rates are seen in Fall branch at 28.3% versus 21.0% in South river.
- Fall branch has a higher smoking rate at 19.7% compared to 14.6% in South river.
- More residents engage in binge drinking in Fall branch at 16.7% compared to 16.0% in South river.
- Obesity rates are higher in South river at 31.6% compared to 28.9% in Fall branch.
- There is a higher percentage of disabled individuals in Fall branch at 23.0% compared to 11.0% in South river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | South river | Fall branch |
---|---|---|
No Schooling | 2.5% (394) | 1.7% (17) |
High School Diploma | 18.7% (2,985) | 24.5% (241) |
Less than High School | 20.6% (3,292) | 19.7% (194) |
Bachelor's Degree and Higher | 18.9% (3,025) | 14.4% (142) |
Education Levels Comparison: South river vs Fall branch
- A higher percentage of residents in South river have no formal schooling at 2.5% compared to 1.7% in Fall branch.
- In Fall branch, the rate of residents with high school diplomas is higher at 24.5% compared to 18.7% in South river.
- More residents in South river have less than a high school education at 20.6% compared to 19.7% in Fall branch.
- A higher percentage of residents in South river hold a bachelor's degree or higher at 18.9% compared to 14.4% in Fall branch.
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.