Demographics details for South river, NJ vs Rowe, VA
Population Overview
Compare main population characteristics in South river, NJ vs Rowe, VA.
| Data | South river | Rowe |
|---|---|---|
| Population | 15,990 | 50 |
| Median Age | 37.1 years | 35.0 years |
| Median Income | $95,981 | $40,000 |
| Married Families | 39.0% | 20.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 4.2 | 4.0 |
Population Comparison: South river vs Rowe
- In South river, the population is higher at 15,990, compared to 50 in Rowe.
- Residents in South river have a higher median age of 37.1 years compared to 35.0 years in Rowe.
- South river has a higher median income of $95,981 compared to $40,000 in Rowe.
- A higher percentage of married families is found in South river at 39.0% compared to 20.0% in Rowe.
- The poverty level is higher in Rowe at 15%, compared to 8% in South river.
- The unemployment rate in South river is higher at 4.2%, compared to 4.0% in Rowe.
Demographics
Demographics South river vs Rowe provide insight into the diversity of the communities to compare.
| Demographic | South river | Rowe |
|---|---|---|
| Black | 7 | Data is updating |
| White | 50 | 95 |
| Asian | 5 | 2 |
| Hispanic | 30 | 1 |
| Two or More Races | 7 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: South river vs Rowe
- A higher percentage of Black residents are in South river at 7% compared to 0% in Rowe.
- The percentage of White residents is higher in Rowe at 95% compared to 50% in South river.
- The Asian population is larger in South river at 5% compared to 2% in Rowe.
- The Hispanic community is larger in South river at 30% compared to 1% in Rowe.
- More residents identify as two or more races in South river at 7% compared to 2% in Rowe.
- A greater percentage of American Indian residents live in South river at 1% compared to 0% in Rowe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South river | Rowe |
|---|---|---|
| Mental Health Not Good | 16.0% | Data is updating% |
| Physical Health Not Good | 10.4% | Data is updating% |
| Depression | 21.0% | Data is updating% |
| Smoking | 14.6% | Data is updating% |
| Binge Drinking | 16.0% | Data is updating% |
| Obesity | 31.6% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: South river vs Rowe
- More residents in South river report poor mental health at 16.0% compared to 0.0% in Rowe.
- Depression is more prevalent in South river at 21.0% compared to 0.0% in Rowe.
- Smoking is more prevalent in South river at 14.6% compared to 0.0% in Rowe.
- Binge drinking is more common in South river at 16.0% compared to 0.0% in Rowe.
- Obesity rates are higher in South river at 31.6% compared to 0.0% in Rowe.
- Disability percentages are higher in South river at 11.0% compared to 0.0% in Rowe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South river | Rowe |
|---|---|---|
| No Schooling | 2.5% (394) | 0.0% (Data is updating) |
| High School Diploma | 18.7% (2,985) | 0.0% (Data is updating) |
| Less than High School | 20.6% (3,292) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 18.9% (3,025) | 0.0% (Data is updating) |
Education Levels Comparison: South river vs Rowe
- A higher percentage of residents in South river have no formal schooling at 2.5% compared to 0.0% in Rowe.
- A higher percentage of residents in South river hold a high school diploma at 18.7% compared to 0.0% in Rowe.
- More residents in South river have less than a high school education at 20.6% compared to 0.0% in Rowe.
- A higher percentage of residents in South river hold a bachelor's degree or higher at 18.9% compared to 0.0% in Rowe.
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.