Demographics details for White house, TN vs Swansea, MA
Population Overview
Compare main population characteristics in White house, TN vs Swansea, MA.
| Data | White house | Swansea |
|---|---|---|
| Population | 14,516 | 16,705 |
| Median Age | 36.5 years | 42.0 years |
| Median Income | $85,404 | $71,000 |
| Married Families | 46.0% | 60.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 3.4 | 3.4 |
Population Comparison: White house vs Swansea
- The population in Swansea is higher at 16,705, compared to 14,516 in White house.
- The median age in Swansea is higher at 42.0 years, compared to 36.5 years in White house.
- White house has a higher median income of $85,404 compared to $71,000 in Swansea.
- In Swansea, the percentage of married families is higher at 60.0%, compared to 46.0% in White house.
- The poverty level is identical in both White house and Swansea at 7%.
- The unemployment rate is the same in both White house and Swansea at 3.4%.
Demographics
Demographics White house vs Swansea provide insight into the diversity of the communities to compare.
| Demographic | White house | Swansea |
|---|---|---|
| Black | 2 | 2 |
| White | 87 | 90 |
| Asian | 1 | 1 |
| Hispanic | 4 | 5 |
| Two or More Races | 6 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: White house vs Swansea
- The percentage of Black residents is the same in both White house and Swansea at 2%.
- The percentage of White residents is higher in Swansea at 90% compared to 87% in White house.
- Both White house and Swansea have the same percentage of Asian residents at 1%.
- Swansea has a higher percentage of Hispanic residents at 5%, compared to 4% in White house.
- More residents identify as two or more races in White house at 6% compared to 2% in Swansea.
- The percentage of American Indian residents is the same in both White house and Swansea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White house | Swansea |
|---|---|---|
| Mental Health Not Good | 17.5% | Data is updating% |
| Physical Health Not Good | 11.0% | Data is updating% |
| Depression | 27.6% | Data is updating% |
| Smoking | 17.7% | Data is updating% |
| Binge Drinking | 16.7% | Data is updating% |
| Obesity | 32.5% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: White house vs Swansea
- More residents in White house report poor mental health at 17.5% compared to 0.0% in Swansea.
- Depression is more prevalent in White house at 27.6% compared to 0.0% in Swansea.
- Smoking is more prevalent in White house at 17.7% compared to 0.0% in Swansea.
- Binge drinking is more common in White house at 16.7% compared to 0.0% in Swansea.
- Obesity rates are higher in White house at 32.5% compared to 0.0% in Swansea.
- Disability percentages are higher in White house at 11.0% compared to 0.0% in Swansea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White house | Swansea |
|---|---|---|
| No Schooling | 0.2% (30) | 0.0% (Data is updating) |
| High School Diploma | 18.0% (2,617) | 0.0% (Data is updating) |
| Less than High School | 12.4% (1,794) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.4% (2,235) | 0.0% (Data is updating) |
Education Levels Comparison: White house vs Swansea
- A higher percentage of residents in White house have no formal schooling at 0.2% compared to 0.0% in Swansea.
- A higher percentage of residents in White house hold a high school diploma at 18.0% compared to 0.0% in Swansea.
- More residents in White house have less than a high school education at 12.4% compared to 0.0% in Swansea.
- A higher percentage of residents in White house hold a bachelor's degree or higher at 15.4% compared to 0.0% in Swansea.
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.