Demographics details for Pampa, TX vs Whitehall, PA
Population Overview
Compare main population characteristics in Pampa, TX vs Whitehall, PA.
| Data | Pampa | Whitehall |
|---|---|---|
| Population | 16,612 | 14,785 |
| Median Age | 35.5 years | 44.8 years |
| Median Income | $52,966 | $77,752 |
| Married Families | 42.0% | 45.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Pampa vs Whitehall
- In Pampa, the population is higher at 16,612, compared to 14,785 in Whitehall.
- The median age in Whitehall is higher at 44.8 years, compared to 35.5 years in Pampa.
- Whitehall has a higher median income of $77,752, compared to $52,966 in Pampa.
- In Whitehall, the percentage of married families is higher at 45.0%, compared to 42.0% in Pampa.
- Pampa has a higher poverty level at 14% compared to 8% in Whitehall.
- Whitehall has a higher unemployment rate at 4.5% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Whitehall |
|---|---|---|
| Black | 3 | 4 |
| White | 53 | 78 |
| Asian | 2 | 14 |
| Hispanic | 34 | 1 |
| Two or More Races | 7 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pampa vs Whitehall
- In Whitehall, the percentage of Black residents is higher at 4% compared to 3% in Pampa.
- The percentage of White residents is higher in Whitehall at 78% compared to 53% in Pampa.
- In Whitehall, the Asian population stands at 14%, greater than 2% in Pampa.
- The Hispanic community is larger in Pampa at 34% compared to 1% in Whitehall.
- More residents identify as two or more races in Pampa at 7% compared to 3% in Whitehall.
- A greater percentage of American Indian residents live in Pampa at 1% compared to 0% in Whitehall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Whitehall |
|---|---|---|
| Mental Health Not Good | 19.5% | 15.5% |
| Physical Health Not Good | 14.0% | 10.3% |
| Depression | 25.4% | 22.0% |
| Smoking | 21.1% | 17.0% |
| Binge Drinking | 17.9% | 21.4% |
| Obesity | 39.7% | 30.9% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Pampa vs Whitehall
- More residents in Pampa report poor mental health at 19.5% compared to 15.5% in Whitehall.
- Depression is more prevalent in Pampa at 25.4% compared to 22.0% in Whitehall.
- Smoking is more prevalent in Pampa at 21.1% compared to 17.0% in Whitehall.
- More residents engage in binge drinking in Whitehall at 21.4% compared to 17.9% in Pampa.
- Obesity rates are higher in Pampa at 39.7% compared to 30.9% in Whitehall.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 12.0% in Pampa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pampa | Whitehall |
|---|---|---|
| No Schooling | 1.4% (238) | 2.0% (302) |
| High School Diploma | 14.7% (2,443) | 18.2% (2,688) |
| Less than High School | 24.0% (3,994) | 7.7% (1,141) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 31.1% (4,603) |
Education Levels Comparison: Pampa vs Whitehall
- In Whitehall, a larger percentage of residents lack formal schooling at 2.0% compared to 1.4% in Pampa.
- In Whitehall, the rate of residents with high school diplomas is higher at 18.2% compared to 14.7% in Pampa.
- More residents in Pampa have less than a high school education at 24.0% 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 10.6% in Pampa.
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.