Demographics details for Whitehall, PA vs Waterproof, LA
Population Overview
Compare main population characteristics in Whitehall, PA vs Waterproof, LA.
| Data | Whitehall | Waterproof |
|---|---|---|
| Population | 14,785 | 499 |
| Median Age | 44.8 years | 37.0 years |
| Median Income | $77,752 | $21,953 |
| Married Families | 45.0% | 9.0% |
| Poverty Level | 8% | 30% |
| Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Whitehall vs Waterproof
- In Whitehall, the population is higher at 14,785, compared to 499 in Waterproof.
- Residents in Whitehall have a higher median age of 44.8 years compared to 37.0 years in Waterproof.
- Whitehall has a higher median income of $77,752 compared to $21,953 in Waterproof.
- A higher percentage of married families is found in Whitehall at 45.0% compared to 9.0% in Waterproof.
- The poverty level is higher in Waterproof at 30%, compared to 8% in Whitehall.
- Waterproof has a higher unemployment rate at 5.0% compared to 4.5% in Whitehall.
Demographics
Demographics Whitehall vs Waterproof provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Waterproof |
|---|---|---|
| Black | 4 | 103 |
| White | 78 | -12 |
| Asian | 14 | 7 |
| Hispanic | 1 | Data is updating |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Whitehall vs Waterproof
- In Waterproof, the percentage of Black residents is higher at 103% compared to 4% in Whitehall.
- Whitehall has a higher percentage of White residents at 78% compared to -12% in Waterproof.
- The Asian population is larger in Whitehall at 14% compared to 7% in Waterproof.
- The Hispanic community is larger in Whitehall at 1% compared to 0% in Waterproof.
- More residents identify as two or more races in Whitehall at 3% compared to 2% in Waterproof.
- The percentage of American Indian residents is the same in both Whitehall and Waterproof at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Waterproof |
|---|---|---|
| Mental Health Not Good | 15.5% | 24.5% |
| Physical Health Not Good | 10.3% | 20.0% |
| Depression | 22.0% | 25.1% |
| Smoking | 17.0% | 33.7% |
| Binge Drinking | 21.4% | 11.8% |
| Obesity | 30.9% | 53.1% |
| Disability Percentage | 15.0% | 22.0% |
Health Statistics Comparison: Whitehall vs Waterproof
- In Waterproof, a higher percentage report poor mental health at 24.5% compared to 15.5% in Whitehall.
- Higher depression rates are seen in Waterproof at 25.1% versus 22.0% in Whitehall.
- Waterproof has a higher smoking rate at 33.7% compared to 17.0% in Whitehall.
- Binge drinking is more common in Whitehall at 21.4% compared to 11.8% in Waterproof.
- Waterproof has higher obesity rates at 53.1% compared to 30.9% in Whitehall.
- There is a higher percentage of disabled individuals in Waterproof at 22.0% 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 | Waterproof |
|---|---|---|
| No Schooling | 2.0% (302) | 0.0% (Data is updating) |
| High School Diploma | 18.2% (2,688) | 27.7% (138) |
| Less than High School | 7.7% (1,141) | 10.6% (53) |
| Bachelor's Degree and Higher | 31.1% (4,603) | 12.8% (64) |
Education Levels Comparison: Whitehall vs Waterproof
- A higher percentage of residents in Whitehall have no formal schooling at 2.0% compared to 0.0% in Waterproof.
- In Waterproof, the rate of residents with high school diplomas is higher at 27.7% compared to 18.2% in Whitehall.
- The percentage of residents with less than a high school education is higher in Waterproof at 10.6%, 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 12.8% in Waterproof.
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.