Demographics details for Washington, NC vs Pampa, TX
Population Overview
Compare main population characteristics in Washington, NC vs Pampa, TX.
| Data | Washington | Pampa |
|---|---|---|
| Population | 10,828 | 16,612 |
| Median Age | 48.0 years | 35.5 years |
| Median Income | $38,927 | $52,966 |
| Married Families | 34.0% | 42.0% |
| Poverty Level | 16% | 14% |
| Unemployment Rate | 4.8 | 3.4 |
Population Comparison: Washington vs Pampa
- The population in Pampa is higher at 16,612, compared to 10,828 in Washington.
- Residents in Washington have a higher median age of 48.0 years compared to 35.5 years in Pampa.
- Pampa has a higher median income of $52,966, compared to $38,927 in Washington.
- In Pampa, the percentage of married families is higher at 42.0%, compared to 34.0% in Washington.
- Washington has a higher poverty level at 16% compared to 14% in Pampa.
- The unemployment rate in Washington is higher at 4.8%, compared to 3.4% in Pampa.
Demographics
Demographics Washington vs Pampa provide insight into the diversity of the communities to compare.
| Demographic | Washington | Pampa |
|---|---|---|
| Black | 49 | 3 |
| White | 41 | 53 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 34 |
| Two or More Races | 3 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: Washington vs Pampa
- A higher percentage of Black residents are in Washington at 49% compared to 3% in Pampa.
- The percentage of White residents is higher in Pampa at 53% compared to 41% in Washington.
- In Pampa, the Asian population stands at 2%, greater than 0% in Washington.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 6% in Washington.
- The percentage of residents identifying as two or more races is higher in Pampa at 7%, compared to 3% in Washington.
- The percentage of American Indian residents is the same in both Washington and Pampa at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Pampa |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.5% |
| Physical Health Not Good | 13.8% | 14.0% |
| Depression | 22.8% | 25.4% |
| Smoking | 21.9% | 21.1% |
| Binge Drinking | 14.7% | 17.9% |
| Obesity | 43.3% | 39.7% |
| Disability Percentage | 24.0% | 12.0% |
Health Statistics Comparison: Washington vs Pampa
- In Pampa, a higher percentage report poor mental health at 19.5% compared to 18.3% in Washington.
- Higher depression rates are seen in Pampa at 25.4% versus 22.8% in Washington.
- Smoking is more prevalent in Washington at 21.9% compared to 21.1% in Pampa.
- More residents engage in binge drinking in Pampa at 17.9% compared to 14.7% in Washington.
- Obesity rates are higher in Washington at 43.3% compared to 39.7% in Pampa.
- Disability percentages are higher in Washington 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 | Washington | Pampa |
|---|---|---|
| No Schooling | 1.2% (128) | 1.4% (238) |
| High School Diploma | 19.0% (2,058) | 14.7% (2,443) |
| Less than High School | 13.7% (1,487) | 24.0% (3,994) |
| Bachelor's Degree and Higher | 10.3% (1,118) | 10.6% (1,757) |
Education Levels Comparison: Washington vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 1.2% in Washington.
- A higher percentage of residents in Washington hold a high school diploma at 19.0% 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 13.7% in Washington.
- In Pampa, a larger share of residents have a bachelor's degree or higher at 10.6% compared to 10.3% in Washington.
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.