Demographics details for Manheim, PA vs South river, NJ
Population Overview
Compare main population characteristics in Manheim, PA vs South river, NJ.
| Data | Manheim | South river |
|---|---|---|
| Population | 5,012 | 15,990 |
| Median Age | 33.6 years | 37.1 years |
| Median Income | $75,833 | $95,981 |
| Married Families | 39.0% | 39.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Manheim vs South river
- The population in South river is higher at 15,990, compared to 5,012 in Manheim.
- The median age in South river is higher at 37.1 years, compared to 33.6 years in Manheim.
- South river has a higher median income of $95,981, compared to $75,833 in Manheim.
- The percentage of married families is the same in both Manheim and South river at 39.0%.
- The poverty level is identical in both Manheim and South river at 8%.
- The unemployment rate in Manheim is higher at 4.5%, compared to 4.2% in South river.
Demographics
Demographics Manheim vs South river provide insight into the diversity of the communities to compare.
| Demographic | Manheim | South river |
|---|---|---|
| Black | 1 | 7 |
| White | 87 | 50 |
| Asian | Data is updating | 5 |
| Hispanic | 5 | 30 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Manheim vs South river
- In South river, the percentage of Black residents is higher at 7% compared to 1% in Manheim.
- Manheim has a higher percentage of White residents at 87% compared to 50% in South river.
- In South river, the Asian population stands at 5%, greater than 0% in Manheim.
- South river has a higher percentage of Hispanic residents at 30%, compared to 5% in Manheim.
- Both Manheim 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 Manheim.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manheim | South river |
|---|---|---|
| Mental Health Not Good | 16.3% | 16.0% |
| Physical Health Not Good | 11.3% | 10.4% |
| Depression | 23.4% | 21.0% |
| Smoking | 18.0% | 14.6% |
| Binge Drinking | 17.9% | 16.0% |
| Obesity | 35.4% | 31.6% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Manheim vs South river
- More residents in Manheim report poor mental health at 16.3% compared to 16.0% in South river.
- Depression is more prevalent in Manheim at 23.4% compared to 21.0% in South river.
- Smoking is more prevalent in Manheim at 18.0% compared to 14.6% in South river.
- Binge drinking is more common in Manheim at 17.9% compared to 16.0% in South river.
- Obesity rates are higher in Manheim at 35.4% compared to 31.6% in South river.
- Disability percentages are the same in both Manheim and South river at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manheim | South river |
|---|---|---|
| No Schooling | 0.8% (38) | 2.5% (394) |
| High School Diploma | 22.8% (1,142) | 18.7% (2,985) |
| Less than High School | 9.5% (474) | 20.6% (3,292) |
| Bachelor's Degree and Higher | 19.6% (983) | 18.9% (3,025) |
Education Levels Comparison: Manheim vs South river
- In South river, a larger percentage of residents lack formal schooling at 2.5% compared to 0.8% in Manheim.
- A higher percentage of residents in Manheim hold a high school diploma at 22.8% 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 9.5% in Manheim.
- A higher percentage of residents in Manheim hold a bachelor's degree or higher at 19.6% compared to 18.9% in South river.
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.