Demographics details for Culleoka, TN vs Whitehall, PA
Population Overview
Compare main population characteristics in Culleoka, TN vs Whitehall, PA.
| Data | Culleoka | Whitehall |
|---|---|---|
| Population | 340 | 14,785 |
| Median Age | 36.0 years | 44.8 years |
| Median Income | $50,000 | $77,752 |
| Married Families | 70.0% | 45.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Culleoka vs Whitehall
- The population in Whitehall is higher at 14,785, compared to 340 in Culleoka.
- The median age in Whitehall is higher at 44.8 years, compared to 36.0 years in Culleoka.
- Whitehall has a higher median income of $77,752, compared to $50,000 in Culleoka.
- A higher percentage of married families is found in Culleoka at 70.0% compared to 45.0% in Whitehall.
- Culleoka has a higher poverty level at 12% compared to 8% in Whitehall.
- The unemployment rate is the same in both Culleoka and Whitehall at 4.5%.
Demographics
Demographics Culleoka vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Culleoka | Whitehall |
|---|---|---|
| Black | 4 | 4 |
| White | 90 | 78 |
| Asian | 2 | 14 |
| Hispanic | 3 | 1 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Culleoka vs Whitehall
- The percentage of Black residents is the same in both Culleoka and Whitehall at 4%.
- Culleoka has a higher percentage of White residents at 90% compared to 78% in Whitehall.
- In Whitehall, the Asian population stands at 14%, greater than 2% in Culleoka.
- The Hispanic community is larger in Culleoka at 3% compared to 1% in Whitehall.
- The percentage of residents identifying as two or more races is higher in Whitehall at 3%, compared to 1% in Culleoka.
- The percentage of American Indian residents is the same in both Culleoka and Whitehall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Culleoka | Whitehall |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.5% |
| Physical Health Not Good | Data is updating% | 10.3% |
| Depression | Data is updating% | 22.0% |
| Smoking | Data is updating% | 17.0% |
| Binge Drinking | Data is updating% | 21.4% |
| Obesity | Data is updating% | 30.9% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Culleoka vs Whitehall
- In Whitehall, a higher percentage report poor mental health at 15.5% compared to 0.0% in Culleoka.
- Higher depression rates are seen in Whitehall at 22.0% versus 0.0% in Culleoka.
- Whitehall has a higher smoking rate at 17.0% compared to 0.0% in Culleoka.
- More residents engage in binge drinking in Whitehall at 21.4% compared to 0.0% in Culleoka.
- Whitehall has higher obesity rates at 30.9% compared to 0.0% in Culleoka.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 0.0% in Culleoka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Culleoka | Whitehall |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.0% (302) |
| High School Diploma | 0.0% (Data is updating) | 18.2% (2,688) |
| Less than High School | 0.0% (Data is updating) | 7.7% (1,141) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 31.1% (4,603) |
Education Levels Comparison: Culleoka vs Whitehall
- In Whitehall, a larger percentage of residents lack formal schooling at 2.0% compared to 0.0% in Culleoka.
- In Whitehall, the rate of residents with high school diplomas is higher at 18.2% compared to 0.0% in Culleoka.
- The percentage of residents with less than a high school education is higher in Whitehall at 7.7%, compared to 0.0% in Culleoka.
- In Whitehall, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 0.0% in Culleoka.
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.