Demographics details for South cle elum, WA vs Pampa, TX
Population Overview
Compare main population characteristics in South cle elum, WA vs Pampa, TX.
| Data | South cle elum | Pampa |
|---|---|---|
| Population | 564 | 16,612 |
| Median Age | 35.2 years | 35.5 years |
| Median Income | $56,400 | $52,966 |
| Married Families | 47.0% | 42.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 5.0 | 3.4 |
Population Comparison: South cle elum vs Pampa
- The population in Pampa is higher at 16,612, compared to 564 in South cle elum.
- The median age in Pampa is higher at 35.5 years, compared to 35.2 years in South cle elum.
- South cle elum has a higher median income of $56,400 compared to $52,966 in Pampa.
- A higher percentage of married families is found in South cle elum at 47.0% compared to 42.0% in Pampa.
- The poverty level is higher in Pampa at 14%, compared to 10% in South cle elum.
- The unemployment rate in South cle elum is higher at 5.0%, compared to 3.4% in Pampa.
Demographics
Demographics South cle elum vs Pampa provide insight into the diversity of the communities to compare.
| Demographic | South cle elum | Pampa |
|---|---|---|
| Black | Data is updating | 3 |
| White | 84 | 53 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 34 |
| Two or More Races | 10 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: South cle elum vs Pampa
- In Pampa, the percentage of Black residents is higher at 3% compared to 0% in South cle elum.
- South cle elum has a higher percentage of White residents at 84% compared to 53% in Pampa.
- In Pampa, the Asian population stands at 2%, greater than 0% in South cle elum.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 6% in South cle elum.
- More residents identify as two or more races in South cle elum at 10% compared to 7% in Pampa.
- In Pampa, the percentage of American Indian residents is higher at 1%, compared to 0% in South cle elum.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South cle elum | Pampa |
|---|---|---|
| Mental Health Not Good | 17.8% | 19.5% |
| Physical Health Not Good | 11.9% | 14.0% |
| Depression | 26.2% | 25.4% |
| Smoking | 16.3% | 21.1% |
| Binge Drinking | 18.3% | 17.9% |
| Obesity | 31.0% | 39.7% |
| Disability Percentage | 26.0% | 12.0% |
Health Statistics Comparison: South cle elum vs Pampa
- In Pampa, a higher percentage report poor mental health at 19.5% compared to 17.8% in South cle elum.
- Depression is more prevalent in South cle elum at 26.2% compared to 25.4% in Pampa.
- Pampa has a higher smoking rate at 21.1% compared to 16.3% in South cle elum.
- Binge drinking is more common in South cle elum at 18.3% compared to 17.9% in Pampa.
- Pampa has higher obesity rates at 39.7% compared to 31.0% in South cle elum.
- Disability percentages are higher in South cle elum at 26.0% 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 | South cle elum | Pampa |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (238) |
| High School Diploma | 22.2% (125) | 14.7% (2,443) |
| Less than High School | 21.6% (122) | 24.0% (3,994) |
| Bachelor's Degree and Higher | 20.6% (116) | 10.6% (1,757) |
Education Levels Comparison: South cle elum vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in South cle elum.
- A higher percentage of residents in South cle elum hold a high school diploma at 22.2% 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 21.6% in South cle elum.
- A higher percentage of residents in South cle elum hold a bachelor's degree or higher at 20.6% 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.