Demographics details for Whitehall, PA vs Eufaula, OK
Population Overview
Compare main population characteristics in Whitehall, PA vs Eufaula, OK.
| Data | Whitehall | Eufaula |
|---|---|---|
| Population | 14,785 | 2,805 |
| Median Age | 44.8 years | 47.7 years |
| Median Income | $77,752 | $38,774 |
| Married Families | 45.0% | 26.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Whitehall vs Eufaula
- In Whitehall, the population is higher at 14,785, compared to 2,805 in Eufaula.
- The median age in Eufaula is higher at 47.7 years, compared to 44.8 years in Whitehall.
- Whitehall has a higher median income of $77,752 compared to $38,774 in Eufaula.
- A higher percentage of married families is found in Whitehall at 45.0% compared to 26.0% in Eufaula.
- The poverty level is higher in Eufaula at 15%, compared to 8% in Whitehall.
- The unemployment rate in Whitehall is higher at 4.5%, compared to 3.2% in Eufaula.
Demographics
Demographics Whitehall vs Eufaula provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Eufaula |
|---|---|---|
| Black | 4 | 5 |
| White | 78 | 70 |
| Asian | 14 | 1 |
| Hispanic | 1 | Data is updating |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | 13 |
Demographics Comparison: Whitehall vs Eufaula
- In Eufaula, the percentage of Black residents is higher at 5% compared to 4% in Whitehall.
- Whitehall has a higher percentage of White residents at 78% compared to 70% in Eufaula.
- The Asian population is larger in Whitehall at 14% compared to 1% in Eufaula.
- The Hispanic community is larger in Whitehall at 1% compared to 0% in Eufaula.
- The percentage of residents identifying as two or more races is higher in Eufaula at 11%, compared to 3% in Whitehall.
- In Eufaula, the percentage of American Indian residents is higher at 13%, compared to 0% in Whitehall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Eufaula |
|---|---|---|
| Mental Health Not Good | 15.5% | 21.4% |
| Physical Health Not Good | 10.3% | 16.1% |
| Depression | 22.0% | 26.7% |
| Smoking | 17.0% | 26.9% |
| Binge Drinking | 21.4% | 13.1% |
| Obesity | 30.9% | 45.3% |
| Disability Percentage | 15.0% | 24.0% |
Health Statistics Comparison: Whitehall vs Eufaula
- In Eufaula, a higher percentage report poor mental health at 21.4% compared to 15.5% in Whitehall.
- Higher depression rates are seen in Eufaula at 26.7% versus 22.0% in Whitehall.
- Eufaula has a higher smoking rate at 26.9% compared to 17.0% in Whitehall.
- Binge drinking is more common in Whitehall at 21.4% compared to 13.1% in Eufaula.
- Eufaula has higher obesity rates at 45.3% compared to 30.9% in Whitehall.
- There is a higher percentage of disabled individuals in Eufaula at 24.0% 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 | Whitehall | Eufaula |
|---|---|---|
| No Schooling | 2.0% (302) | 0.0% (1) |
| High School Diploma | 18.2% (2,688) | 21.7% (608) |
| Less than High School | 7.7% (1,141) | 22.1% (620) |
| Bachelor's Degree and Higher | 31.1% (4,603) | 7.6% (213) |
Education Levels Comparison: Whitehall vs Eufaula
- A higher percentage of residents in Whitehall have no formal schooling at 2.0% compared to 0.0% in Eufaula.
- In Eufaula, the rate of residents with high school diplomas is higher at 21.7% compared to 18.2% in Whitehall.
- The percentage of residents with less than a high school education is higher in Eufaula at 22.1%, compared to 7.7% in Whitehall.
- A higher percentage of residents in Whitehall hold a bachelor's degree or higher at 31.1% compared to 7.6% in Eufaula.
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.