Demographics details for Pampa, TX vs Rising sun, IN
Population Overview
Compare main population characteristics in Pampa, TX vs Rising sun, IN.
| Data | Pampa | Rising sun |
|---|---|---|
| Population | 16,612 | 2,277 |
| Median Age | 35.5 years | 47.6 years |
| Median Income | $52,966 | $46,214 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Pampa vs Rising sun
- In Pampa, the population is higher at 16,612, compared to 2,277 in Rising sun.
- The median age in Rising sun is higher at 47.6 years, compared to 35.5 years in Pampa.
- Pampa has a higher median income of $52,966 compared to $46,214 in Rising sun.
- A higher percentage of married families is found in Pampa at 42.0% compared to 34.0% in Rising sun.
- Pampa has a higher poverty level at 14% compared to 12% in Rising sun.
- Rising sun has a higher unemployment rate at 3.5% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Rising sun provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Rising sun |
|---|---|---|
| Black | 3 | 1 |
| White | 53 | 93 |
| Asian | 2 | Data is updating |
| Hispanic | 34 | Data is updating |
| Two or More Races | 7 | 5 |
| American Indian | 1 | 1 |
Demographics Comparison: Pampa vs Rising sun
- A higher percentage of Black residents are in Pampa at 3% compared to 1% in Rising sun.
- The percentage of White residents is higher in Rising sun at 93% compared to 53% in Pampa.
- The Asian population is larger in Pampa at 2% compared to 0% in Rising sun.
- The Hispanic community is larger in Pampa at 34% compared to 0% in Rising sun.
- More residents identify as two or more races in Pampa at 7% compared to 5% in Rising sun.
- The percentage of American Indian residents is the same in both Pampa and Rising sun at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Rising sun |
|---|---|---|
| Mental Health Not Good | 19.5% | 17.7% |
| Physical Health Not Good | 14.0% | 11.8% |
| Depression | 25.4% | 26.1% |
| Smoking | 21.1% | 20.6% |
| Binge Drinking | 17.9% | 17.7% |
| Obesity | 39.7% | 37.1% |
| Disability Percentage | 12.0% | 21.0% |
Health Statistics Comparison: Pampa vs Rising sun
- More residents in Pampa report poor mental health at 19.5% compared to 17.7% in Rising sun.
- Higher depression rates are seen in Rising sun at 26.1% versus 25.4% in Pampa.
- Smoking is more prevalent in Pampa at 21.1% compared to 20.6% in Rising sun.
- Binge drinking is more common in Pampa at 17.9% compared to 17.7% in Rising sun.
- Obesity rates are higher in Pampa at 39.7% compared to 37.1% in Rising sun.
- There is a higher percentage of disabled individuals in Rising sun at 21.0% 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 | Pampa | Rising sun |
|---|---|---|
| No Schooling | 1.4% (238) | 0.2% (5) |
| High School Diploma | 14.7% (2,443) | 30.0% (683) |
| Less than High School | 24.0% (3,994) | 11.9% (271) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 11.0% (251) |
Education Levels Comparison: Pampa vs Rising sun
- A higher percentage of residents in Pampa have no formal schooling at 1.4% compared to 0.2% in Rising sun.
- In Rising sun, the rate of residents with high school diplomas is higher at 30.0% compared to 14.7% in Pampa.
- More residents in Pampa have less than a high school education at 24.0% compared to 11.9% in Rising sun.
- In Rising sun, a larger share of residents have a bachelor's degree or higher at 11.0% 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.