Demographics details for South river, NJ vs Raven, VA
Population Overview
Compare main population characteristics in South river, NJ vs Raven, VA.
| Data | South river | Raven |
|---|---|---|
| Population | 15,990 | 2,065 |
| Median Age | 37.1 years | 46.2 years |
| Median Income | $95,981 | $36,613 |
| Married Families | 39.0% | 31.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: South river vs Raven
- In South river, the population is higher at 15,990, compared to 2,065 in Raven.
- The median age in Raven is higher at 46.2 years, compared to 37.1 years in South river.
- South river has a higher median income of $95,981 compared to $36,613 in Raven.
- A higher percentage of married families is found in South river at 39.0% compared to 31.0% in Raven.
- The poverty level is higher in Raven at 15%, compared to 8% in South river.
- Raven has a higher unemployment rate at 4.5% compared to 4.2% in South river.
Demographics
Demographics South river vs Raven provide insight into the diversity of the communities to compare.
| Demographic | South river | Raven |
|---|---|---|
| Black | 7 | Data is updating |
| White | 50 | 99 |
| Asian | 5 | Data is updating |
| Hispanic | 30 | Data is updating |
| Two or More Races | 7 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: South river vs Raven
- A higher percentage of Black residents are in South river at 7% compared to 0% in Raven.
- The percentage of White residents is higher in Raven at 99% compared to 50% in South river.
- The Asian population is larger in South river at 5% compared to 0% in Raven.
- The Hispanic community is larger in South river at 30% compared to 0% in Raven.
- More residents identify as two or more races in South river at 7% compared to 1% in Raven.
- A greater percentage of American Indian residents live in South river at 1% compared to 0% in Raven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South river | Raven |
|---|---|---|
| Mental Health Not Good | 16.0% | 22.5% |
| Physical Health Not Good | 10.4% | 16.7% |
| Depression | 21.0% | 30.4% |
| Smoking | 14.6% | 27.3% |
| Binge Drinking | 16.0% | 16.2% |
| Obesity | 31.6% | 40.3% |
| Disability Percentage | 11.0% | 26.0% |
Health Statistics Comparison: South river vs Raven
- In Raven, a higher percentage report poor mental health at 22.5% compared to 16.0% in South river.
- Higher depression rates are seen in Raven at 30.4% versus 21.0% in South river.
- Raven has a higher smoking rate at 27.3% compared to 14.6% in South river.
- More residents engage in binge drinking in Raven at 16.2% compared to 16.0% in South river.
- Raven has higher obesity rates at 40.3% compared to 31.6% in South river.
- There is a higher percentage of disabled individuals in Raven at 26.0% 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 | Raven |
|---|---|---|
| No Schooling | 2.5% (394) | 0.5% (11) |
| High School Diploma | 18.7% (2,985) | 18.8% (388) |
| Less than High School | 20.6% (3,292) | 22.5% (464) |
| Bachelor's Degree and Higher | 18.9% (3,025) | 10.1% (208) |
Education Levels Comparison: South river vs Raven
- A higher percentage of residents in South river have no formal schooling at 2.5% compared to 0.5% in Raven.
- In Raven, the rate of residents with high school diplomas is higher at 18.8% compared to 18.7% in South river.
- The percentage of residents with less than a high school education is higher in Raven at 22.5%, compared to 20.6% in South river.
- A higher percentage of residents in South river hold a bachelor's degree or higher at 18.9% compared to 10.1% in Raven.
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.