Demographics details for Mullica hill, NJ vs Chester, VA
Population Overview
Compare main population characteristics in Mullica hill, NJ vs Chester, VA.
| Data | Mullica hill | Chester |
|---|---|---|
| Population | 4,454 | 23,068 |
| Median Age | 41.0 years | 40.6 years |
| Median Income | $123,265 | $87,242 |
| Married Families | 46.0% | 42.0% |
| Poverty Level | 4% | 5% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Mullica hill vs Chester
- The population in Chester is higher at 23,068, compared to 4,454 in Mullica hill.
- Residents in Mullica hill have a higher median age of 41.0 years compared to 40.6 years in Chester.
- Mullica hill has a higher median income of $123,265 compared to $87,242 in Chester.
- A higher percentage of married families is found in Mullica hill at 46.0% compared to 42.0% in Chester.
- The poverty level is higher in Chester at 5%, compared to 4% in Mullica hill.
- Chester has a higher unemployment rate at 3.5% compared to 3.2% in Mullica hill.
Demographics
Demographics Mullica hill vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Mullica hill | Chester |
|---|---|---|
| Black | 11 | 25 |
| White | 74 | 55 |
| Asian | 4 | 2 |
| Hispanic | 4 | 11 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mullica hill vs Chester
- In Chester, the percentage of Black residents is higher at 25% compared to 11% in Mullica hill.
- Mullica hill has a higher percentage of White residents at 74% compared to 55% in Chester.
- The Asian population is larger in Mullica hill at 4% compared to 2% in Chester.
- Chester has a higher percentage of Hispanic residents at 11%, compared to 4% in Mullica hill.
- More residents identify as two or more races in Mullica hill at 7% compared to 6% in Chester.
- In Chester, the percentage of American Indian residents is higher at 1%, compared to 0% in Mullica hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mullica hill | Chester |
|---|---|---|
| Mental Health Not Good | 13.7% | 16.6% |
| Physical Health Not Good | 7.9% | 10.0% |
| Depression | 20.9% | 21.3% |
| Smoking | 10.3% | 15.3% |
| Binge Drinking | 20.0% | 18.4% |
| Obesity | 27.7% | 36.5% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Mullica hill vs Chester
- In Chester, a higher percentage report poor mental health at 16.6% compared to 13.7% in Mullica hill.
- Higher depression rates are seen in Chester at 21.3% versus 20.9% in Mullica hill.
- Chester has a higher smoking rate at 15.3% compared to 10.3% in Mullica hill.
- Binge drinking is more common in Mullica hill at 20.0% compared to 18.4% in Chester.
- Chester has higher obesity rates at 36.5% compared to 27.7% in Mullica hill.
- Disability percentages are higher in Mullica hill at 12.0% compared to 11.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mullica hill | Chester |
|---|---|---|
| No Schooling | 0.7% (33) | 1.5% (344) |
| High School Diploma | 12.9% (576) | 16.8% (3,871) |
| Less than High School | 5.5% (244) | 11.9% (2,738) |
| Bachelor's Degree and Higher | 36.2% (1,612) | 22.3% (5,134) |
Education Levels Comparison: Mullica hill vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 1.5% compared to 0.7% in Mullica hill.
- In Chester, the rate of residents with high school diplomas is higher at 16.8% compared to 12.9% in Mullica hill.
- The percentage of residents with less than a high school education is higher in Chester at 11.9%, compared to 5.5% in Mullica hill.
- A higher percentage of residents in Mullica hill hold a bachelor's degree or higher at 36.2% compared to 22.3% in Chester.
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.