Demographics details for Swansea, MA vs De queen, AR
Population Overview
Compare main population characteristics in Swansea, MA vs De queen, AR.
| Data | Swansea | De queen |
|---|---|---|
| Population | 16,705 | 6,042 |
| Median Age | 42.0 years | 33.0 years |
| Median Income | $71,000 | $55,207 |
| Married Families | 60.0% | 35.0% |
| Poverty Level | 7% | 24% |
| Unemployment Rate | 3.4 | 4.8 |
Population Comparison: Swansea vs De queen
- In Swansea, the population is higher at 16,705, compared to 6,042 in De queen.
- Residents in Swansea have a higher median age of 42.0 years compared to 33.0 years in De queen.
- Swansea has a higher median income of $71,000 compared to $55,207 in De queen.
- A higher percentage of married families is found in Swansea at 60.0% compared to 35.0% in De queen.
- The poverty level is higher in De queen at 24%, compared to 7% in Swansea.
- De queen has a higher unemployment rate at 4.8% compared to 3.4% in Swansea.
Demographics
Demographics Swansea vs De queen provide insight into the diversity of the communities to compare.
| Demographic | Swansea | De queen |
|---|---|---|
| Black | 2 | 6 |
| White | 90 | 28 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 60 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Swansea vs De queen
- In De queen, the percentage of Black residents is higher at 6% compared to 2% in Swansea.
- Swansea has a higher percentage of White residents at 90% compared to 28% in De queen.
- The Asian population is larger in Swansea at 1% compared to 0% in De queen.
- De queen has a higher percentage of Hispanic residents at 60%, compared to 5% in Swansea.
- The percentage of residents identifying as two or more races is higher in De queen at 5%, compared to 2% in Swansea.
- In De queen, the percentage of American Indian residents is higher at 1%, compared to 0% in Swansea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Swansea | De queen |
|---|---|---|
| Mental Health Not Good | Data is updating% | 20.2% |
| Physical Health Not Good | Data is updating% | 17.2% |
| Depression | Data is updating% | 24.7% |
| Smoking | Data is updating% | 24.0% |
| Binge Drinking | Data is updating% | 12.9% |
| Obesity | Data is updating% | 44.1% |
| Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Swansea vs De queen
- In De queen, a higher percentage report poor mental health at 20.2% compared to 0.0% in Swansea.
- Higher depression rates are seen in De queen at 24.7% versus 0.0% in Swansea.
- De queen has a higher smoking rate at 24.0% compared to 0.0% in Swansea.
- More residents engage in binge drinking in De queen at 12.9% compared to 0.0% in Swansea.
- De queen has higher obesity rates at 44.1% compared to 0.0% in Swansea.
- There is a higher percentage of disabled individuals in De queen at 12.0% 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 | De queen |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (108) |
| High School Diploma | 0.0% (Data is updating) | 15.0% (905) |
| Less than High School | 0.0% (Data is updating) | 46.5% (2,809) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.0% (421) |
Education Levels Comparison: Swansea vs De queen
- In De queen, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Swansea.
- In De queen, the rate of residents with high school diplomas is higher at 15.0% compared to 0.0% in Swansea.
- The percentage of residents with less than a high school education is higher in De queen at 46.5%, compared to 0.0% in Swansea.
- In De queen, a larger share of residents have a bachelor's degree or higher at 7.0% 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.