Demographics details for Fort mill, SC vs White house, TN
Population Overview
Compare main population characteristics in Fort mill, SC vs White house, TN.
| Data | Fort mill | White house |
|---|---|---|
| Population | 30,940 | 14,516 |
| Median Age | 36.7 years | 36.5 years |
| Median Income | $128,125 | $85,404 |
| Married Families | 37.0% | 46.0% |
| Poverty Level | 5% | 7% |
| Unemployment Rate | 4.1 | 3.4 |
Population Comparison: Fort mill vs White house
- In Fort mill, the population is higher at 30,940, compared to 14,516 in White house.
- Residents in Fort mill have a higher median age of 36.7 years compared to 36.5 years in White house.
- Fort mill has a higher median income of $128,125 compared to $85,404 in White house.
- In White house, the percentage of married families is higher at 46.0%, compared to 37.0% in Fort mill.
- The poverty level is higher in White house at 7%, compared to 5% in Fort mill.
- The unemployment rate in Fort mill is higher at 4.1%, compared to 3.4% in White house.
Demographics
Demographics Fort mill vs White house provide insight into the diversity of the communities to compare.
| Demographic | Fort mill | White house |
|---|---|---|
| Black | 9 | 2 |
| White | 79 | 87 |
| Asian | 3 | 1 |
| Hispanic | 5 | 4 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fort mill vs White house
- A higher percentage of Black residents are in Fort mill at 9% compared to 2% in White house.
- The percentage of White residents is higher in White house at 87% compared to 79% in Fort mill.
- The Asian population is larger in Fort mill at 3% compared to 1% in White house.
- The Hispanic community is larger in Fort mill at 5% 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 4% in Fort mill.
- The percentage of American Indian residents is the same in both Fort mill and White house at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort mill | White house |
|---|---|---|
| Mental Health Not Good | 15.4% | 17.5% |
| Physical Health Not Good | 9.4% | 11.0% |
| Depression | 21.1% | 27.6% |
| Smoking | 12.3% | 17.7% |
| Binge Drinking | 18.3% | 16.7% |
| Obesity | 31.6% | 32.5% |
| Disability Percentage | 5.0% | 11.0% |
Health Statistics Comparison: Fort mill vs White house
- In White house, a higher percentage report poor mental health at 17.5% compared to 15.4% in Fort mill.
- Higher depression rates are seen in White house at 27.6% versus 21.1% in Fort mill.
- White house has a higher smoking rate at 17.7% compared to 12.3% in Fort mill.
- Binge drinking is more common in Fort mill at 18.3% compared to 16.7% in White house.
- White house has higher obesity rates at 32.5% compared to 31.6% in Fort mill.
- There is a higher percentage of disabled individuals in White house at 11.0% compared to 5.0% in Fort mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fort mill | White house |
|---|---|---|
| No Schooling | 0.3% (78) | 0.2% (30) |
| High School Diploma | 7.7% (2,372) | 18.0% (2,617) |
| Less than High School | 2.8% (879) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 30.0% (9,271) | 15.4% (2,235) |
Education Levels Comparison: Fort mill vs White house
- A higher percentage of residents in Fort mill have no formal schooling at 0.3% compared to 0.2% in White house.
- In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 7.7% in Fort mill.
- The percentage of residents with less than a high school education is higher in White house at 12.4%, compared to 2.8% in Fort mill.
- A higher percentage of residents in Fort mill hold a bachelor's degree or higher at 30.0% compared to 15.4% in White house.
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.