Demographics details for Mount vernon, TX vs Whitehall, PA
Population Overview
Compare main population characteristics in Mount vernon, TX vs Whitehall, PA.
| Data | Mount vernon | Whitehall |
|---|---|---|
| Population | 2,541 | 14,785 |
| Median Age | 31.1 years | 44.8 years |
| Median Income | $63,750 | $77,752 |
| Married Families | 40.0% | 45.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Mount vernon vs Whitehall
- The population in Whitehall is higher at 14,785, compared to 2,541 in Mount vernon.
- The median age in Whitehall is higher at 44.8 years, compared to 31.1 years in Mount vernon.
- Whitehall has a higher median income of $77,752, compared to $63,750 in Mount vernon.
- In Whitehall, the percentage of married families is higher at 45.0%, compared to 40.0% in Mount vernon.
- Mount vernon has a higher poverty level at 10% compared to 8% in Whitehall.
- The unemployment rate is the same in both Mount vernon and Whitehall at 4.5%.
Demographics
Demographics Mount vernon vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Mount vernon | Whitehall |
|---|---|---|
| Black | 15 | 4 |
| White | 50 | 78 |
| Asian | Data is updating | 14 |
| Hispanic | 21 | 1 |
| Two or More Races | 14 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount vernon vs Whitehall
- A higher percentage of Black residents are in Mount vernon at 15% compared to 4% in Whitehall.
- The percentage of White residents is higher in Whitehall at 78% compared to 50% in Mount vernon.
- In Whitehall, the Asian population stands at 14%, greater than 0% in Mount vernon.
- The Hispanic community is larger in Mount vernon at 21% compared to 1% in Whitehall.
- More residents identify as two or more races in Mount vernon at 14% compared to 3% in Whitehall.
- The percentage of American Indian residents is the same in both Mount vernon and Whitehall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount vernon | Whitehall |
|---|---|---|
| Mental Health Not Good | 18.1% | 15.5% |
| Physical Health Not Good | 11.8% | 10.3% |
| Depression | 24.9% | 22.0% |
| Smoking | 17.6% | 17.0% |
| Binge Drinking | 18.5% | 21.4% |
| Obesity | 35.4% | 30.9% |
| Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Mount vernon vs Whitehall
- More residents in Mount vernon report poor mental health at 18.1% compared to 15.5% in Whitehall.
- Depression is more prevalent in Mount vernon at 24.9% compared to 22.0% in Whitehall.
- Smoking is more prevalent in Mount vernon at 17.6% compared to 17.0% in Whitehall.
- More residents engage in binge drinking in Whitehall at 21.4% compared to 18.5% in Mount vernon.
- Obesity rates are higher in Mount vernon at 35.4% compared to 30.9% in Whitehall.
- Disability percentages are higher in Mount vernon at 17.0% 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 | Mount vernon | Whitehall |
|---|---|---|
| No Schooling | 0.6% (16) | 2.0% (302) |
| High School Diploma | 15.7% (399) | 18.2% (2,688) |
| Less than High School | 21.8% (555) | 7.7% (1,141) |
| Bachelor's Degree and Higher | 11.1% (282) | 31.1% (4,603) |
Education Levels Comparison: Mount vernon vs Whitehall
- In Whitehall, a larger percentage of residents lack formal schooling at 2.0% compared to 0.6% in Mount vernon.
- In Whitehall, the rate of residents with high school diplomas is higher at 18.2% compared to 15.7% in Mount vernon.
- More residents in Mount vernon have less than a high school education at 21.8% compared to 7.7% in Whitehall.
- In Whitehall, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 11.1% in Mount vernon.
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.