Demographics details for Tullahoma, TN vs Whitehall, PA
Population Overview
Compare main population characteristics in Tullahoma, TN vs Whitehall, PA.
| Data | Tullahoma | Whitehall |
|---|---|---|
| Population | 20,830 | 14,785 |
| Median Age | 40.2 years | 44.8 years |
| Median Income | $56,771 | $77,752 |
| Married Families | 41.0% | 45.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Tullahoma vs Whitehall
- In Tullahoma, the population is higher at 20,830, compared to 14,785 in Whitehall.
- The median age in Whitehall is higher at 44.8 years, compared to 40.2 years in Tullahoma.
- Whitehall has a higher median income of $77,752, compared to $56,771 in Tullahoma.
- In Whitehall, the percentage of married families is higher at 45.0%, compared to 41.0% in Tullahoma.
- Tullahoma has a higher poverty level at 10% compared to 8% in Whitehall.
- Whitehall has a higher unemployment rate at 4.5% compared to 3.5% in Tullahoma.
Demographics
Demographics Tullahoma vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Tullahoma | Whitehall |
|---|---|---|
| Black | 6 | 4 |
| White | 83 | 78 |
| Asian | 2 | 14 |
| Hispanic | 5 | 1 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tullahoma vs Whitehall
- A higher percentage of Black residents are in Tullahoma at 6% compared to 4% in Whitehall.
- Tullahoma has a higher percentage of White residents at 83% compared to 78% in Whitehall.
- In Whitehall, the Asian population stands at 14%, greater than 2% in Tullahoma.
- The Hispanic community is larger in Tullahoma at 5% compared to 1% in Whitehall.
- More residents identify as two or more races in Tullahoma at 4% compared to 3% in Whitehall.
- The percentage of American Indian residents is the same in both Tullahoma and Whitehall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tullahoma | Whitehall |
|---|---|---|
| Mental Health Not Good | 19.9% | 15.5% |
| Physical Health Not Good | 14.0% | 10.3% |
| Depression | 28.9% | 22.0% |
| Smoking | 22.6% | 17.0% |
| Binge Drinking | 15.1% | 21.4% |
| Obesity | 39.1% | 30.9% |
| Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Tullahoma vs Whitehall
- More residents in Tullahoma report poor mental health at 19.9% compared to 15.5% in Whitehall.
- Depression is more prevalent in Tullahoma at 28.9% compared to 22.0% in Whitehall.
- Smoking is more prevalent in Tullahoma at 22.6% compared to 17.0% in Whitehall.
- More residents engage in binge drinking in Whitehall at 21.4% compared to 15.1% in Tullahoma.
- Obesity rates are higher in Tullahoma at 39.1% compared to 30.9% in Whitehall.
- Disability percentages are higher in Tullahoma at 19.0% compared to 15.0% in Whitehall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tullahoma | Whitehall |
|---|---|---|
| No Schooling | 0.6% (117) | 2.0% (302) |
| High School Diploma | 18.9% (3,932) | 18.2% (2,688) |
| Less than High School | 14.1% (2,944) | 7.7% (1,141) |
| Bachelor's Degree and Higher | 19.3% (4,012) | 31.1% (4,603) |
Education Levels Comparison: Tullahoma vs Whitehall
- In Whitehall, a larger percentage of residents lack formal schooling at 2.0% compared to 0.6% in Tullahoma.
- A higher percentage of residents in Tullahoma hold a high school diploma at 18.9% compared to 18.2% in Whitehall.
- More residents in Tullahoma have less than a high school education at 14.1% compared to 7.7% in Whitehall.
- In Whitehall, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 19.3% in Tullahoma.
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.