Demographics details for Stanley, VA vs Pampa, TX
Population Overview
Compare main population characteristics in Stanley, VA vs Pampa, TX.
| Data | Stanley | Pampa |
|---|---|---|
| Population | 1,702 | 16,612 |
| Median Age | 41.1 years | 35.5 years |
| Median Income | $42,976 | $52,966 |
| Married Families | 31.0% | 42.0% |
| Poverty Level | Data is updating | 14% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Stanley vs Pampa
- The population in Pampa is higher at 16,612, compared to 1,702 in Stanley.
- Residents in Stanley have a higher median age of 41.1 years compared to 35.5 years in Pampa.
- Pampa has a higher median income of $52,966, compared to $42,976 in Stanley.
- In Pampa, the percentage of married families is higher at 42.0%, compared to 31.0% in Stanley.
- The poverty level is higher in Pampa at 14%, compared to 0% in Stanley.
- The unemployment rate in Stanley is higher at 3.5%, compared to 3.4% in Pampa.
Demographics
Demographics Stanley vs Pampa provide insight into the diversity of the communities to compare.
| Demographic | Stanley | Pampa |
|---|---|---|
| Black | Data is updating | 3 |
| White | 95 | 53 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 34 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Stanley vs Pampa
- In Pampa, the percentage of Black residents is higher at 3% compared to 0% in Stanley.
- Stanley has a higher percentage of White residents at 95% compared to 53% in Pampa.
- In Pampa, the Asian population stands at 2%, greater than 0% in Stanley.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 2% in Stanley.
- The percentage of residents identifying as two or more races is higher in Pampa at 7%, compared to 3% in Stanley.
- In Pampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Stanley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stanley | Pampa |
|---|---|---|
| Mental Health Not Good | 20.1% | 19.5% |
| Physical Health Not Good | 14.1% | 14.0% |
| Depression | 27.4% | 25.4% |
| Smoking | 23.9% | 21.1% |
| Binge Drinking | 16.8% | 17.9% |
| Obesity | 40.4% | 39.7% |
| Disability Percentage | 24.0% | 12.0% |
Health Statistics Comparison: Stanley vs Pampa
- More residents in Stanley report poor mental health at 20.1% compared to 19.5% in Pampa.
- Depression is more prevalent in Stanley at 27.4% compared to 25.4% in Pampa.
- Smoking is more prevalent in Stanley at 23.9% compared to 21.1% in Pampa.
- More residents engage in binge drinking in Pampa at 17.9% compared to 16.8% in Stanley.
- Obesity rates are higher in Stanley at 40.4% compared to 39.7% in Pampa.
- Disability percentages are higher in Stanley at 24.0% 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 | Stanley | Pampa |
|---|---|---|
| No Schooling | 0.6% (10) | 1.4% (238) |
| High School Diploma | 28.0% (477) | 14.7% (2,443) |
| Less than High School | 38.5% (656) | 24.0% (3,994) |
| Bachelor's Degree and Higher | 7.4% (126) | 10.6% (1,757) |
Education Levels Comparison: Stanley vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 0.6% in Stanley.
- A higher percentage of residents in Stanley hold a high school diploma at 28.0% compared to 14.7% in Pampa.
- More residents in Stanley have less than a high school education at 38.5% compared to 24.0% in Pampa.
- In Pampa, a larger share of residents have a bachelor's degree or higher at 10.6% compared to 7.4% in Stanley.
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.