Demographics details for Whitehall, PA vs Altoona, AL
Population Overview
Compare main population characteristics in Whitehall, PA vs Altoona, AL.
| Data | Whitehall | Altoona |
|---|---|---|
| Population | 14,785 | 941 |
| Median Age | 44.8 years | 40.5 years |
| Median Income | $77,752 | $38,750 |
| Married Families | 45.0% | 51.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Whitehall vs Altoona
- In Whitehall, the population is higher at 14,785, compared to 941 in Altoona.
- Residents in Whitehall have a higher median age of 44.8 years compared to 40.5 years in Altoona.
- Whitehall has a higher median income of $77,752 compared to $38,750 in Altoona.
- In Altoona, the percentage of married families is higher at 51.0%, compared to 45.0% in Whitehall.
- The poverty level is higher in Altoona at 15%, compared to 8% in Whitehall.
- The unemployment rate in Whitehall is higher at 4.5%, compared to 3.2% in Altoona.
Demographics
Demographics Whitehall vs Altoona provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Altoona |
|---|---|---|
| Black | 4 | 2 |
| White | 78 | 90 |
| Asian | 14 | Data is updating |
| Hispanic | 1 | 4 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Whitehall vs Altoona
- A higher percentage of Black residents are in Whitehall at 4% compared to 2% in Altoona.
- The percentage of White residents is higher in Altoona at 90% compared to 78% in Whitehall.
- The Asian population is larger in Whitehall at 14% compared to 0% in Altoona.
- Altoona has a higher percentage of Hispanic residents at 4%, compared to 1% in Whitehall.
- Both Whitehall and Altoona have the same percentage of residents identifying as two or more races at 3%.
- In Altoona, the percentage of American Indian residents is higher at 1%, compared to 0% in Whitehall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Altoona |
|---|---|---|
| Mental Health Not Good | 15.5% | 22.1% |
| Physical Health Not Good | 10.3% | 15.0% |
| Depression | 22.0% | 28.1% |
| Smoking | 17.0% | 23.3% |
| Binge Drinking | 21.4% | 15.1% |
| Obesity | 30.9% | 39.7% |
| Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Whitehall vs Altoona
- In Altoona, a higher percentage report poor mental health at 22.1% compared to 15.5% in Whitehall.
- Higher depression rates are seen in Altoona at 28.1% versus 22.0% in Whitehall.
- Altoona has a higher smoking rate at 23.3% compared to 17.0% in Whitehall.
- Binge drinking is more common in Whitehall at 21.4% compared to 15.1% in Altoona.
- Altoona has higher obesity rates at 39.7% compared to 30.9% in Whitehall.
- There is a higher percentage of disabled individuals in Altoona at 20.0% 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 | Altoona |
|---|---|---|
| No Schooling | 2.0% (302) | 1.0% (9) |
| High School Diploma | 18.2% (2,688) | 47.4% (446) |
| Less than High School | 7.7% (1,141) | 31.9% (300) |
| Bachelor's Degree and Higher | 31.1% (4,603) | 9.9% (93) |
Education Levels Comparison: Whitehall vs Altoona
- A higher percentage of residents in Whitehall have no formal schooling at 2.0% compared to 1.0% in Altoona.
- In Altoona, the rate of residents with high school diplomas is higher at 47.4% compared to 18.2% in Whitehall.
- The percentage of residents with less than a high school education is higher in Altoona at 31.9%, 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 9.9% in Altoona.
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.