Demographics details for Simpsonville, SC vs Villas, NJ
Population Overview
Compare main population characteristics in Simpsonville, SC vs Villas, NJ.
| Data | Simpsonville | Villas |
|---|---|---|
| Population | 26,748 | 9,925 |
| Median Age | 37.8 years | 42.4 years |
| Median Income | $79,937 | $74,182 |
| Married Families | 38.0% | 42.0% |
| Poverty Level | 7% | 6% |
| Unemployment Rate | 3.9 | 4.2 |
Population Comparison: Simpsonville vs Villas
- In Simpsonville, the population is higher at 26,748, compared to 9,925 in Villas.
- The median age in Villas is higher at 42.4 years, compared to 37.8 years in Simpsonville.
- Simpsonville has a higher median income of $79,937 compared to $74,182 in Villas.
- In Villas, the percentage of married families is higher at 42.0%, compared to 38.0% in Simpsonville.
- Simpsonville has a higher poverty level at 7% compared to 6% in Villas.
- Villas has a higher unemployment rate at 4.2% compared to 3.9% in Simpsonville.
Demographics
Demographics Simpsonville vs Villas provide insight into the diversity of the communities to compare.
| Demographic | Simpsonville | Villas |
|---|---|---|
| Black | 21 | 1 |
| White | 66 | 88 |
| Asian | 1 | 1 |
| Hispanic | 7 | 6 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Simpsonville vs Villas
- A higher percentage of Black residents are in Simpsonville at 21% compared to 1% in Villas.
- The percentage of White residents is higher in Villas at 88% compared to 66% in Simpsonville.
- Both Simpsonville and Villas have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Simpsonville at 7% compared to 6% in Villas.
- The percentage of residents identifying as two or more races is higher in Villas at 6%, compared to 5% in Simpsonville.
- The percentage of American Indian residents is the same in both Simpsonville and Villas at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Simpsonville | Villas |
|---|---|---|
| Mental Health Not Good | 15.2% | 17.8% |
| Physical Health Not Good | 9.6% | 12.2% |
| Depression | 19.9% | 25.1% |
| Smoking | 13.5% | 19.2% |
| Binge Drinking | 17.8% | 18.9% |
| Obesity | 31.9% | 34.4% |
| Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: Simpsonville vs Villas
- In Villas, a higher percentage report poor mental health at 17.8% compared to 15.2% in Simpsonville.
- Higher depression rates are seen in Villas at 25.1% versus 19.9% in Simpsonville.
- Villas has a higher smoking rate at 19.2% compared to 13.5% in Simpsonville.
- More residents engage in binge drinking in Villas at 18.9% compared to 17.8% in Simpsonville.
- Villas has higher obesity rates at 34.4% compared to 31.9% in Simpsonville.
- There is a higher percentage of disabled individuals in Villas at 18.0% compared to 9.0% in Simpsonville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Simpsonville | Villas |
|---|---|---|
| No Schooling | 0.8% (225) | 0.9% (89) |
| High School Diploma | 14.4% (3,847) | 24.7% (2,455) |
| Less than High School | 6.1% (1,645) | 9.5% (946) |
| Bachelor's Degree and Higher | 21.5% (5,741) | 17.4% (1,724) |
Education Levels Comparison: Simpsonville vs Villas
- In Villas, a larger percentage of residents lack formal schooling at 0.9% compared to 0.8% in Simpsonville.
- In Villas, the rate of residents with high school diplomas is higher at 24.7% compared to 14.4% in Simpsonville.
- The percentage of residents with less than a high school education is higher in Villas at 9.5%, compared to 6.1% in Simpsonville.
- A higher percentage of residents in Simpsonville hold a bachelor's degree or higher at 21.5% compared to 17.4% in Villas.
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.