Demographics details for Whitehall, PA vs Mountain view, AR
Population Overview
Compare main population characteristics in Whitehall, PA vs Mountain view, AR.
| Data | Whitehall | Mountain view |
|---|---|---|
| Population | 14,785 | 2,915 |
| Median Age | 44.8 years | 55.5 years |
| Median Income | $77,752 | $23,458 |
| Married Families | 45.0% | 25.0% |
| Poverty Level | 8% | 17% |
| Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Whitehall vs Mountain view
- In Whitehall, the population is higher at 14,785, compared to 2,915 in Mountain view.
- The median age in Mountain view is higher at 55.5 years, compared to 44.8 years in Whitehall.
- Whitehall has a higher median income of $77,752 compared to $23,458 in Mountain view.
- A higher percentage of married families is found in Whitehall at 45.0% compared to 25.0% in Mountain view.
- The poverty level is higher in Mountain view at 17%, compared to 8% in Whitehall.
- Mountain view has a higher unemployment rate at 4.8% compared to 4.5% in Whitehall.
Demographics
Demographics Whitehall vs Mountain view provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Mountain view |
|---|---|---|
| Black | 4 | 1 |
| White | 78 | 89 |
| Asian | 14 | 1 |
| Hispanic | 1 | 8 |
| Two or More Races | 3 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Whitehall vs Mountain view
- A higher percentage of Black residents are in Whitehall at 4% compared to 1% in Mountain view.
- The percentage of White residents is higher in Mountain view at 89% compared to 78% in Whitehall.
- The Asian population is larger in Whitehall at 14% compared to 1% in Mountain view.
- Mountain view has a higher percentage of Hispanic residents at 8%, compared to 1% in Whitehall.
- More residents identify as two or more races in Whitehall at 3% compared to 1% in Mountain view.
- The percentage of American Indian residents is the same in both Whitehall and Mountain view at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Mountain view |
|---|---|---|
| Mental Health Not Good | 15.5% | 22.6% |
| Physical Health Not Good | 10.3% | 16.7% |
| Depression | 22.0% | 31.9% |
| Smoking | 17.0% | 26.6% |
| Binge Drinking | 21.4% | 14.9% |
| Obesity | 30.9% | 41.1% |
| Disability Percentage | 15.0% | 36.0% |
Health Statistics Comparison: Whitehall vs Mountain view
- In Mountain view, a higher percentage report poor mental health at 22.6% compared to 15.5% in Whitehall.
- Higher depression rates are seen in Mountain view at 31.9% versus 22.0% in Whitehall.
- Mountain view has a higher smoking rate at 26.6% compared to 17.0% in Whitehall.
- Binge drinking is more common in Whitehall at 21.4% compared to 14.9% in Mountain view.
- Mountain view has higher obesity rates at 41.1% compared to 30.9% in Whitehall.
- There is a higher percentage of disabled individuals in Mountain view at 36.0% 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 | Mountain view |
|---|---|---|
| No Schooling | 2.0% (302) | 2.4% (70) |
| High School Diploma | 18.2% (2,688) | 17.8% (520) |
| Less than High School | 7.7% (1,141) | 15.9% (464) |
| Bachelor's Degree and Higher | 31.1% (4,603) | 11.3% (329) |
Education Levels Comparison: Whitehall vs Mountain view
- In Mountain view, a larger percentage of residents lack formal schooling at 2.4% compared to 2.0% in Whitehall.
- A higher percentage of residents in Whitehall hold a high school diploma at 18.2% compared to 17.8% in Mountain view.
- The percentage of residents with less than a high school education is higher in Mountain view at 15.9%, 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 11.3% in Mountain view.
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.