Demographics details for Swansea, MA vs Purcell, OK
Population Overview
Compare main population characteristics in Swansea, MA vs Purcell, OK.
| Data | Swansea | Purcell |
|---|---|---|
| Population | 16,705 | 6,762 |
| Median Age | 42.0 years | 34.7 years |
| Median Income | $71,000 | $68,295 |
| Married Families | 60.0% | 37.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.4 | 3.6 |
Population Comparison: Swansea vs Purcell
- In Swansea, the population is higher at 16,705, compared to 6,762 in Purcell.
- Residents in Swansea have a higher median age of 42.0 years compared to 34.7 years in Purcell.
- Swansea has a higher median income of $71,000 compared to $68,295 in Purcell.
- A higher percentage of married families is found in Swansea at 60.0% compared to 37.0% in Purcell.
- The poverty level is higher in Purcell at 12%, compared to 7% in Swansea.
- Purcell has a higher unemployment rate at 3.6% compared to 3.4% in Swansea.
Demographics
Demographics Swansea vs Purcell provide insight into the diversity of the communities to compare.
| Demographic | Swansea | Purcell |
|---|---|---|
| Black | 2 | 1 |
| White | 90 | 67 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 16 |
| Two or More Races | 2 | 13 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Swansea vs Purcell
- A higher percentage of Black residents are in Swansea at 2% compared to 1% in Purcell.
- Swansea has a higher percentage of White residents at 90% compared to 67% in Purcell.
- The Asian population is larger in Swansea at 1% compared to 0% in Purcell.
- Purcell has a higher percentage of Hispanic residents at 16%, compared to 5% in Swansea.
- The percentage of residents identifying as two or more races is higher in Purcell at 13%, compared to 2% in Swansea.
- In Purcell, the percentage of American Indian residents is higher at 3%, compared to 0% in Swansea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Swansea | Purcell |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.6% |
| Physical Health Not Good | Data is updating% | 13.5% |
| Depression | Data is updating% | 25.3% |
| Smoking | Data is updating% | 21.0% |
| Binge Drinking | Data is updating% | 14.4% |
| Obesity | Data is updating% | 42.7% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Swansea vs Purcell
- In Purcell, a higher percentage report poor mental health at 18.6% compared to 0.0% in Swansea.
- Higher depression rates are seen in Purcell at 25.3% versus 0.0% in Swansea.
- Purcell has a higher smoking rate at 21.0% compared to 0.0% in Swansea.
- More residents engage in binge drinking in Purcell at 14.4% compared to 0.0% in Swansea.
- Purcell has higher obesity rates at 42.7% compared to 0.0% in Swansea.
- There is a higher percentage of disabled individuals in Purcell at 15.0% compared to 0.0% in Swansea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Swansea | Purcell |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (29) |
| High School Diploma | 0.0% (Data is updating) | 20.2% (1,367) |
| Less than High School | 0.0% (Data is updating) | 26.2% (1,775) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.1% (821) |
Education Levels Comparison: Swansea vs Purcell
- In Purcell, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Swansea.
- In Purcell, the rate of residents with high school diplomas is higher at 20.2% compared to 0.0% in Swansea.
- The percentage of residents with less than a high school education is higher in Purcell at 26.2%, compared to 0.0% in Swansea.
- In Purcell, a larger share of residents have a bachelor's degree or higher at 12.1% compared to 0.0% in Swansea.
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.