Demographics details for Russell springs, KY vs Pampa, TX
Population Overview
Compare main population characteristics in Russell springs, KY vs Pampa, TX.
| Data | Russell springs | Pampa |
|---|---|---|
| Population | 2,750 | 16,612 |
| Median Age | 44.8 years | 35.5 years |
| Median Income | $34,219 | $52,966 |
| Married Families | 29.0% | 42.0% |
| Poverty Level | 15% | 14% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Russell springs vs Pampa
- The population in Pampa is higher at 16,612, compared to 2,750 in Russell springs.
- Residents in Russell springs have a higher median age of 44.8 years compared to 35.5 years in Pampa.
- Pampa has a higher median income of $52,966, compared to $34,219 in Russell springs.
- In Pampa, the percentage of married families is higher at 42.0%, compared to 29.0% in Russell springs.
- Russell springs has a higher poverty level at 15% compared to 14% in Pampa.
- The unemployment rate in Russell springs is higher at 4.5%, compared to 3.4% in Pampa.
Demographics
Demographics Russell springs vs Pampa provide insight into the diversity of the communities to compare.
| Demographic | Russell springs | Pampa |
|---|---|---|
| Black | 1 | 3 |
| White | 88 | 53 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 34 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Russell springs vs Pampa
- In Pampa, the percentage of Black residents is higher at 3% compared to 1% in Russell springs.
- Russell springs has a higher percentage of White residents at 88% compared to 53% in Pampa.
- In Pampa, the Asian population stands at 2%, greater than 0% in Russell springs.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 3% in Russell springs.
- More residents identify as two or more races in Russell springs at 8% compared to 7% in Pampa.
- In Pampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Russell springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Russell springs | Pampa |
|---|---|---|
| Mental Health Not Good | 20.7% | 19.5% |
| Physical Health Not Good | 15.6% | 14.0% |
| Depression | 29.0% | 25.4% |
| Smoking | 25.6% | 21.1% |
| Binge Drinking | 14.5% | 17.9% |
| Obesity | 40.3% | 39.7% |
| Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Russell springs vs Pampa
- More residents in Russell springs report poor mental health at 20.7% compared to 19.5% in Pampa.
- Depression is more prevalent in Russell springs at 29.0% compared to 25.4% in Pampa.
- Smoking is more prevalent in Russell springs at 25.6% compared to 21.1% in Pampa.
- More residents engage in binge drinking in Pampa at 17.9% compared to 14.5% in Russell springs.
- Obesity rates are higher in Russell springs at 40.3% compared to 39.7% in Pampa.
- Disability percentages are higher in Russell springs 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 | Russell springs | Pampa |
|---|---|---|
| No Schooling | 0.7% (20) | 1.4% (238) |
| High School Diploma | 13.6% (375) | 14.7% (2,443) |
| Less than High School | 23.3% (642) | 24.0% (3,994) |
| Bachelor's Degree and Higher | 18.4% (505) | 10.6% (1,757) |
Education Levels Comparison: Russell springs vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Russell springs.
- In Pampa, the rate of residents with high school diplomas is higher at 14.7% compared to 13.6% in Russell springs.
- The percentage of residents with less than a high school education is higher in Pampa at 24.0%, compared to 23.3% in Russell springs.
- A higher percentage of residents in Russell springs hold a bachelor's degree or higher at 18.4% 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.