Demographics details for South river, NJ vs Marshall, AR
Population Overview
Compare main population characteristics in South river, NJ vs Marshall, AR.
| Data | South river | Marshall |
|---|---|---|
| Population | 15,990 | 1,339 |
| Median Age | 37.1 years | 52.3 years |
| Median Income | $95,981 | $28,290 |
| Married Families | 39.0% | 33.0% |
| Poverty Level | 8% | 16% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: South river vs Marshall
- In South river, the population is higher at 15,990, compared to 1,339 in Marshall.
- The median age in Marshall is higher at 52.3 years, compared to 37.1 years in South river.
- South river has a higher median income of $95,981 compared to $28,290 in Marshall.
- A higher percentage of married families is found in South river at 39.0% compared to 33.0% in Marshall.
- The poverty level is higher in Marshall at 16%, compared to 8% in South river.
- The unemployment rate is the same in both South river and Marshall at 4.2%.
Demographics
Demographics South river vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | South river | Marshall |
|---|---|---|
| Black | 7 | Data is updating |
| White | 50 | 84 |
| Asian | 5 | Data is updating |
| Hispanic | 30 | 3 |
| Two or More Races | 7 | 12 |
| American Indian | 1 | 1 |
Demographics Comparison: South river vs Marshall
- A higher percentage of Black residents are in South river at 7% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 84% compared to 50% in South river.
- The Asian population is larger in South river at 5% compared to 0% in Marshall.
- The Hispanic community is larger in South river at 30% compared to 3% in Marshall.
- The percentage of residents identifying as two or more races is higher in Marshall at 12%, compared to 7% in South river.
- The percentage of American Indian residents is the same in both South river and Marshall at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South river | Marshall |
|---|---|---|
| Mental Health Not Good | 16.0% | 21.7% |
| Physical Health Not Good | 10.4% | 16.2% |
| Depression | 21.0% | 29.8% |
| Smoking | 14.6% | 27.2% |
| Binge Drinking | 16.0% | 14.7% |
| Obesity | 31.6% | 39.2% |
| Disability Percentage | 11.0% | 30.0% |
Health Statistics Comparison: South river vs Marshall
- In Marshall, a higher percentage report poor mental health at 21.7% compared to 16.0% in South river.
- Higher depression rates are seen in Marshall at 29.8% versus 21.0% in South river.
- Marshall has a higher smoking rate at 27.2% compared to 14.6% in South river.
- Binge drinking is more common in South river at 16.0% compared to 14.7% in Marshall.
- Marshall has higher obesity rates at 39.2% compared to 31.6% in South river.
- There is a higher percentage of disabled individuals in Marshall at 30.0% 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 | Marshall |
|---|---|---|
| No Schooling | 2.5% (394) | 0.9% (12) |
| High School Diploma | 18.7% (2,985) | 27.9% (373) |
| Less than High School | 20.6% (3,292) | 32.4% (434) |
| Bachelor's Degree and Higher | 18.9% (3,025) | 11.7% (156) |
Education Levels Comparison: South river vs Marshall
- A higher percentage of residents in South river have no formal schooling at 2.5% compared to 0.9% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 18.7% in South river.
- The percentage of residents with less than a high school education is higher in Marshall at 32.4%, 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 11.7% in Marshall.
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.