Demographics details for Edgefield, SC vs White house, TN
Population Overview
Compare main population characteristics in Edgefield, SC vs White house, TN.
| Data | Edgefield | White house |
|---|---|---|
| Population | 26,932 | 14,516 |
| Median Age | 42.9 years | 36.5 years |
| Median Income | $60,033 | $85,404 |
| Married Families | 38.0% | 46.0% |
| Poverty Level | 13% | 7% |
| Unemployment Rate | 4.9 | 3.4 |
Population Comparison: Edgefield vs White house
- In Edgefield, the population is higher at 26,932, compared to 14,516 in White house.
- Residents in Edgefield have a higher median age of 42.9 years compared to 36.5 years in White house.
- White house has a higher median income of $85,404, compared to $60,033 in Edgefield.
- In White house, the percentage of married families is higher at 46.0%, compared to 38.0% in Edgefield.
- Edgefield has a higher poverty level at 13% compared to 7% in White house.
- The unemployment rate in Edgefield is higher at 4.9%, compared to 3.4% in White house.
Demographics
Demographics Edgefield vs White house provide insight into the diversity of the communities to compare.
| Demographic | Edgefield | White house |
|---|---|---|
| Black | 32 | 2 |
| White | 56 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 7 | 4 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Edgefield vs White house
- A higher percentage of Black residents are in Edgefield at 32% compared to 2% in White house.
- The percentage of White residents is higher in White house at 87% compared to 56% in Edgefield.
- In White house, the Asian population stands at 1%, greater than 0% in Edgefield.
- The Hispanic community is larger in Edgefield at 7% compared to 4% in White house.
- The percentage of residents identifying as two or more races is higher in White house at 6%, compared to 5% in Edgefield.
- The percentage of American Indian residents is the same in both Edgefield and White house at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Edgefield | White house |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.5% |
| Physical Health Not Good | 13.1% | 11.0% |
| Depression | 20.3% | 27.6% |
| Smoking | 20.3% | 17.7% |
| Binge Drinking | 16.5% | 16.7% |
| Obesity | 36.7% | 32.5% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Edgefield vs White house
- More residents in Edgefield report poor mental health at 18.1% compared to 17.5% in White house.
- Higher depression rates are seen in White house at 27.6% versus 20.3% in Edgefield.
- Smoking is more prevalent in Edgefield at 20.3% compared to 17.7% in White house.
- More residents engage in binge drinking in White house at 16.7% compared to 16.5% in Edgefield.
- Obesity rates are higher in Edgefield at 36.7% compared to 32.5% in White house.
- Disability percentages are higher in Edgefield at 14.0% compared to 11.0% in White house.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Edgefield | White house |
|---|---|---|
| No Schooling | 0.7% (199) | 0.2% (30) |
| High School Diploma | 19.2% (5,180) | 18.0% (2,617) |
| Less than High School | 18.3% (4,938) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 14.1% (3,798) | 15.4% (2,235) |
Education Levels Comparison: Edgefield vs White house
- A higher percentage of residents in Edgefield have no formal schooling at 0.7% compared to 0.2% in White house.
- A higher percentage of residents in Edgefield hold a high school diploma at 19.2% compared to 18.0% in White house.
- More residents in Edgefield have less than a high school education at 18.3% compared to 12.4% in White house.
- In White house, a larger share of residents have a bachelor's degree or higher at 15.4% compared to 14.1% in Edgefield.
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.