Demographics details for Chester, VA vs South river, NJ
Population Overview
Compare main population characteristics in Chester, VA vs South river, NJ.
| Data | Chester | South river |
|---|---|---|
| Population | 23,068 | 15,990 |
| Median Age | 40.6 years | 37.1 years |
| Median Income | $87,242 | $95,981 |
| Married Families | 42.0% | 39.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Chester vs South river
- In Chester, the population is higher at 23,068, compared to 15,990 in South river.
- Residents in Chester have a higher median age of 40.6 years compared to 37.1 years in South river.
- South river has a higher median income of $95,981, compared to $87,242 in Chester.
- A higher percentage of married families is found in Chester at 42.0% compared to 39.0% in South river.
- The poverty level is higher in South river at 8%, compared to 5% in Chester.
- South river has a higher unemployment rate at 4.2% compared to 3.5% in Chester.
Demographics
Demographics Chester vs South river provide insight into the diversity of the communities to compare.
| Demographic | Chester | South river |
|---|---|---|
| Black | 25 | 7 |
| White | 55 | 50 |
| Asian | 2 | 5 |
| Hispanic | 11 | 30 |
| Two or More Races | 6 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: Chester vs South river
- A higher percentage of Black residents are in Chester at 25% compared to 7% in South river.
- Chester has a higher percentage of White residents at 55% compared to 50% in South river.
- In South river, the Asian population stands at 5%, greater than 2% in Chester.
- South river has a higher percentage of Hispanic residents at 30%, compared to 11% in Chester.
- The percentage of residents identifying as two or more races is higher in South river at 7%, compared to 6% in Chester.
- The percentage of American Indian residents is the same in both Chester and South river at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | South river |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.0% |
| Physical Health Not Good | 10.0% | 10.4% |
| Depression | 21.3% | 21.0% |
| Smoking | 15.3% | 14.6% |
| Binge Drinking | 18.4% | 16.0% |
| Obesity | 36.5% | 31.6% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Chester vs South river
- More residents in Chester report poor mental health at 16.6% compared to 16.0% in South river.
- Depression is more prevalent in Chester at 21.3% compared to 21.0% in South river.
- Smoking is more prevalent in Chester at 15.3% compared to 14.6% in South river.
- Binge drinking is more common in Chester at 18.4% compared to 16.0% in South river.
- Obesity rates are higher in Chester at 36.5% compared to 31.6% in South river.
- Disability percentages are the same in both Chester 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 | Chester | South river |
|---|---|---|
| No Schooling | 1.5% (344) | 2.5% (394) |
| High School Diploma | 16.8% (3,871) | 18.7% (2,985) |
| Less than High School | 11.9% (2,738) | 20.6% (3,292) |
| Bachelor's Degree and Higher | 22.3% (5,134) | 18.9% (3,025) |
Education Levels Comparison: Chester vs South river
- In South river, a larger percentage of residents lack formal schooling at 2.5% compared to 1.5% in Chester.
- In South river, the rate of residents with high school diplomas is higher at 18.7% compared to 16.8% in Chester.
- The percentage of residents with less than a high school education is higher in South river at 20.6%, compared to 11.9% in Chester.
- A higher percentage of residents in Chester hold a bachelor's degree or higher at 22.3% 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.