Demographics details for Marion, OH vs South river, NJ
Population Overview
Compare main population characteristics in Marion, OH vs South river, NJ.
| Data | Marion | South river |
|---|---|---|
| Population | 35,327 | 15,990 |
| Median Age | 37.7 years | 37.1 years |
| Median Income | $44,879 | $95,981 |
| Married Families | 29.0% | 39.0% |
| Poverty Level | 16% | 8% |
| Unemployment Rate | 6.0 | 4.2 |
Population Comparison: Marion vs South river
- In Marion, the population is higher at 35,327, compared to 15,990 in South river.
- Residents in Marion have a higher median age of 37.7 years compared to 37.1 years in South river.
- South river has a higher median income of $95,981, compared to $44,879 in Marion.
- In South river, the percentage of married families is higher at 39.0%, compared to 29.0% in Marion.
- Marion has a higher poverty level at 16% compared to 8% in South river.
- The unemployment rate in Marion is higher at 6.0%, compared to 4.2% in South river.
Demographics
Demographics Marion vs South river provide insight into the diversity of the communities to compare.
| Demographic | Marion | South river |
|---|---|---|
| Black | 9 | 7 |
| White | 79 | 50 |
| Asian | Data is updating | 5 |
| Hispanic | 5 | 30 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Marion vs South river
- A higher percentage of Black residents are in Marion at 9% compared to 7% in South river.
- Marion has a higher percentage of White residents at 79% compared to 50% in South river.
- In South river, the Asian population stands at 5%, greater than 0% in Marion.
- South river has a higher percentage of Hispanic residents at 30%, compared to 5% in Marion.
- Both Marion and South river have the same percentage of residents identifying as two or more races at 7%.
- In South river, the percentage of American Indian residents is higher at 1%, compared to 0% in Marion.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marion | South river |
|---|---|---|
| Mental Health Not Good | 19.2% | 16.0% |
| Physical Health Not Good | 14.7% | 10.4% |
| Depression | 24.8% | 21.0% |
| Smoking | 27.8% | 14.6% |
| Binge Drinking | 17.6% | 16.0% |
| Obesity | 48.6% | 31.6% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Marion vs South river
- More residents in Marion report poor mental health at 19.2% compared to 16.0% in South river.
- Depression is more prevalent in Marion at 24.8% compared to 21.0% in South river.
- Smoking is more prevalent in Marion at 27.8% compared to 14.6% in South river.
- Binge drinking is more common in Marion at 17.6% compared to 16.0% in South river.
- Obesity rates are higher in Marion at 48.6% compared to 31.6% in South river.
- Disability percentages are higher in Marion at 17.0% 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 | Marion | South river |
|---|---|---|
| No Schooling | 1.1% (383) | 2.5% (394) |
| High School Diploma | 25.9% (9,142) | 18.7% (2,985) |
| Less than High School | 16.3% (5,747) | 20.6% (3,292) |
| Bachelor's Degree and Higher | 7.2% (2,557) | 18.9% (3,025) |
Education Levels Comparison: Marion vs South river
- In South river, a larger percentage of residents lack formal schooling at 2.5% compared to 1.1% in Marion.
- A higher percentage of residents in Marion hold a high school diploma at 25.9% compared to 18.7% in South river.
- The percentage of residents with less than a high school education is higher in South river at 20.6%, compared to 16.3% in Marion.
- In South river, a larger share of residents have a bachelor's degree or higher at 18.9% compared to 7.2% in Marion.
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.