Demographics details for Pulaski, VA vs Pampa, TX
Population Overview
Compare main population characteristics in Pulaski, VA vs Pampa, TX.
| Data | Pulaski | Pampa |
|---|---|---|
| Population | 33,706 | 16,612 |
| Median Age | 47.2 years | 35.5 years |
| Median Income | $59,740 | $52,966 |
| Married Families | 43.0% | 42.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 2.9 | 3.4 |
Population Comparison: Pulaski vs Pampa
- In Pulaski, the population is higher at 33,706, compared to 16,612 in Pampa.
- Residents in Pulaski have a higher median age of 47.2 years compared to 35.5 years in Pampa.
- Pulaski has a higher median income of $59,740 compared to $52,966 in Pampa.
- A higher percentage of married families is found in Pulaski at 43.0% compared to 42.0% in Pampa.
- The poverty level is higher in Pampa at 14%, compared to 12% in Pulaski.
- Pampa has a higher unemployment rate at 3.4% compared to 2.9% in Pulaski.
Demographics
Demographics Pulaski vs Pampa provide insight into the diversity of the communities to compare.
| Demographic | Pulaski | Pampa |
|---|---|---|
| Black | 5 | 3 |
| White | 90 | 53 |
| Asian | 1 | 2 |
| Hispanic | 2 | 34 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pulaski vs Pampa
- A higher percentage of Black residents are in Pulaski at 5% compared to 3% in Pampa.
- Pulaski has a higher percentage of White residents at 90% compared to 53% in Pampa.
- In Pampa, the Asian population stands at 2%, greater than 1% in Pulaski.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 2% in Pulaski.
- The percentage of residents identifying as two or more races is higher in Pampa at 7%, compared to 2% in Pulaski.
- In Pampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Pulaski.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pulaski | Pampa |
|---|---|---|
| Mental Health Not Good | 17.7% | 19.5% |
| Physical Health Not Good | 11.6% | 14.0% |
| Depression | 24.8% | 25.4% |
| Smoking | 18.5% | 21.1% |
| Binge Drinking | 18.2% | 17.9% |
| Obesity | 37.7% | 39.7% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Pulaski vs Pampa
- In Pampa, a higher percentage report poor mental health at 19.5% compared to 17.7% in Pulaski.
- Higher depression rates are seen in Pampa at 25.4% versus 24.8% in Pulaski.
- Pampa has a higher smoking rate at 21.1% compared to 18.5% in Pulaski.
- Binge drinking is more common in Pulaski at 18.2% compared to 17.9% in Pampa.
- Pampa has higher obesity rates at 39.7% compared to 37.7% in Pulaski.
- Disability percentages are higher in Pulaski at 20.0% 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 | Pulaski | Pampa |
|---|---|---|
| No Schooling | 1.0% (331) | 1.4% (238) |
| High School Diploma | 21.0% (7,088) | 14.7% (2,443) |
| Less than High School | 14.0% (4,706) | 24.0% (3,994) |
| Bachelor's Degree and Higher | 16.0% (5,382) | 10.6% (1,757) |
Education Levels Comparison: Pulaski vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 1.0% in Pulaski.
- A higher percentage of residents in Pulaski hold a high school diploma at 21.0% compared to 14.7% in Pampa.
- The percentage of residents with less than a high school education is higher in Pampa at 24.0%, compared to 14.0% in Pulaski.
- A higher percentage of residents in Pulaski hold a bachelor's degree or higher at 16.0% 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.