Demographics details for Pampa, TX vs Springfield, MA
Population Overview
Compare main population characteristics in Pampa, TX vs Springfield, MA.
| Data | Pampa | Springfield |
|---|---|---|
| Population | 16,612 | 154,064 |
| Median Age | 35.5 years | 33.4 years |
| Median Income | $52,966 | $47,677 |
| Married Families | 42.0% | 26.0% |
| Poverty Level | 14% | 20% |
| Unemployment Rate | 3.4 | 6.9 |
Population Comparison: Pampa vs Springfield
- The population in Springfield is higher at 154,064, compared to 16,612 in Pampa.
- Residents in Pampa have a higher median age of 35.5 years compared to 33.4 years in Springfield.
- Pampa has a higher median income of $52,966 compared to $47,677 in Springfield.
- A higher percentage of married families is found in Pampa at 42.0% compared to 26.0% in Springfield.
- The poverty level is higher in Springfield at 20%, compared to 14% in Pampa.
- Springfield has a higher unemployment rate at 6.9% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Springfield provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Springfield |
|---|---|---|
| Black | 3 | 21 |
| White | 53 | 8 |
| Asian | 2 | 3 |
| Hispanic | 34 | 49 |
| Two or More Races | 7 | 19 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pampa vs Springfield
- In Springfield, the percentage of Black residents is higher at 21% compared to 3% in Pampa.
- Pampa has a higher percentage of White residents at 53% compared to 8% in Springfield.
- In Springfield, the Asian population stands at 3%, greater than 2% in Pampa.
- Springfield has a higher percentage of Hispanic residents at 49%, compared to 34% in Pampa.
- The percentage of residents identifying as two or more races is higher in Springfield at 19%, compared to 7% in Pampa.
- A greater percentage of American Indian residents live in Pampa at 1% compared to 0% in Springfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Springfield |
|---|---|---|
| Mental Health Not Good | 19.5% | 21.2% |
| Physical Health Not Good | 14.0% | 14.9% |
| Depression | 25.4% | 25.8% |
| Smoking | 21.1% | 19.9% |
| Binge Drinking | 17.9% | 14.3% |
| Obesity | 39.7% | 40.8% |
| Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: Pampa vs Springfield
- In Springfield, a higher percentage report poor mental health at 21.2% compared to 19.5% in Pampa.
- Higher depression rates are seen in Springfield at 25.8% versus 25.4% in Pampa.
- Smoking is more prevalent in Pampa at 21.1% compared to 19.9% in Springfield.
- Binge drinking is more common in Pampa at 17.9% compared to 14.3% in Springfield.
- Springfield has higher obesity rates at 40.8% compared to 39.7% in Pampa.
- There is a higher percentage of disabled individuals in Springfield at 19.0% 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 | Springfield |
|---|---|---|
| No Schooling | 1.4% (238) | 2.0% (3,005) |
| High School Diploma | 14.7% (2,443) | 16.7% (25,679) |
| Less than High School | 24.0% (3,994) | 23.8% (36,663) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 12.7% (19,500) |
Education Levels Comparison: Pampa vs Springfield
- In Springfield, a larger percentage of residents lack formal schooling at 2.0% compared to 1.4% in Pampa.
- In Springfield, the rate of residents with high school diplomas is higher at 16.7% compared to 14.7% in Pampa.
- More residents in Pampa have less than a high school education at 24.0% compared to 23.8% in Springfield.
- In Springfield, a larger share of residents have a bachelor's degree or higher at 12.7% 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.