Demographics details for Simpsonville, SC vs Winona, MS
Population Overview
Compare main population characteristics in Simpsonville, SC vs Winona, MS.
| Data | Simpsonville | Winona |
|---|---|---|
| Population | 26,748 | 4,159 |
| Median Age | 37.8 years | 33.7 years |
| Median Income | $79,937 | $26,250 |
| Married Families | 38.0% | 21.0% |
| Poverty Level | 7% | 24% |
| Unemployment Rate | 3.9 | 3.6 |
Population Comparison: Simpsonville vs Winona
- In Simpsonville, the population is higher at 26,748, compared to 4,159 in Winona.
- Residents in Simpsonville have a higher median age of 37.8 years compared to 33.7 years in Winona.
- Simpsonville has a higher median income of $79,937 compared to $26,250 in Winona.
- A higher percentage of married families is found in Simpsonville at 38.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 7% in Simpsonville.
- The unemployment rate in Simpsonville is higher at 3.9%, compared to 3.6% in Winona.
Demographics
Demographics Simpsonville vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Simpsonville | Winona |
|---|---|---|
| Black | 21 | 62 |
| White | 66 | 38 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Simpsonville vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 21% in Simpsonville.
- Simpsonville has a higher percentage of White residents at 66% compared to 38% in Winona.
- The Asian population is larger in Simpsonville at 1% compared to 0% in Winona.
- The Hispanic community is larger in Simpsonville at 7% compared to 0% in Winona.
- More residents identify as two or more races in Simpsonville at 5% compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Simpsonville and Winona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Simpsonville | Winona |
|---|---|---|
| Mental Health Not Good | 15.2% | 19.3% |
| Physical Health Not Good | 9.6% | 15.0% |
| Depression | 19.9% | 22.3% |
| Smoking | 13.5% | 24.8% |
| Binge Drinking | 17.8% | 11.8% |
| Obesity | 31.9% | 46.4% |
| Disability Percentage | 9.0% | 25.0% |
Health Statistics Comparison: Simpsonville vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 15.2% in Simpsonville.
- Higher depression rates are seen in Winona at 22.3% versus 19.9% in Simpsonville.
- Winona has a higher smoking rate at 24.8% compared to 13.5% in Simpsonville.
- Binge drinking is more common in Simpsonville at 17.8% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 31.9% in Simpsonville.
- There is a higher percentage of disabled individuals in Winona at 25.0% 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 | Winona |
|---|---|---|
| No Schooling | 0.8% (225) | 2.1% (87) |
| High School Diploma | 14.4% (3,847) | 11.4% (473) |
| Less than High School | 6.1% (1,645) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 21.5% (5,741) | 9.3% (388) |
Education Levels Comparison: Simpsonville vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.8% in Simpsonville.
- A higher percentage of residents in Simpsonville hold a high school diploma at 14.4% compared to 11.4% in Winona.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, 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 9.3% in Winona.
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.