Demographics details for Forest lake, MN vs Swansea, MA
Population Overview
Compare main population characteristics in Forest lake, MN vs Swansea, MA.
| Data | Forest lake | Swansea |
|---|---|---|
| Population | 20,857 | 16,705 |
| Median Age | 37.9 years | 42.0 years |
| Median Income | $91,157 | $71,000 |
| Married Families | 42.0% | 60.0% |
| Poverty Level | 6% | 7% |
| Unemployment Rate | 3.2 | 3.4 |
Population Comparison: Forest lake vs Swansea
- In Forest lake, the population is higher at 20,857, compared to 16,705 in Swansea.
- The median age in Swansea is higher at 42.0 years, compared to 37.9 years in Forest lake.
- Forest lake has a higher median income of $91,157 compared to $71,000 in Swansea.
- In Swansea, the percentage of married families is higher at 60.0%, compared to 42.0% in Forest lake.
- The poverty level is higher in Swansea at 7%, compared to 6% in Forest lake.
- Swansea has a higher unemployment rate at 3.4% compared to 3.2% in Forest lake.
Demographics
Demographics Forest lake vs Swansea provide insight into the diversity of the communities to compare.
| Demographic | Forest lake | Swansea |
|---|---|---|
| Black | 3 | 2 |
| White | 81 | 90 |
| Asian | 4 | 1 |
| Hispanic | 6 | 5 |
| Two or More Races | 6 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest lake vs Swansea
- A higher percentage of Black residents are in Forest lake at 3% compared to 2% in Swansea.
- The percentage of White residents is higher in Swansea at 90% compared to 81% in Forest lake.
- The Asian population is larger in Forest lake at 4% compared to 1% in Swansea.
- The Hispanic community is larger in Forest lake at 6% compared to 5% in Swansea.
- More residents identify as two or more races in Forest lake at 6% compared to 2% in Swansea.
- The percentage of American Indian residents is the same in both Forest lake and Swansea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest lake | Swansea |
|---|---|---|
| Mental Health Not Good | 14.7% | Data is updating% |
| Physical Health Not Good | 8.8% | Data is updating% |
| Depression | 24.1% | Data is updating% |
| Smoking | 15.7% | Data is updating% |
| Binge Drinking | 21.4% | Data is updating% |
| Obesity | 32.9% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Forest lake vs Swansea
- More residents in Forest lake report poor mental health at 14.7% compared to 0.0% in Swansea.
- Depression is more prevalent in Forest lake at 24.1% compared to 0.0% in Swansea.
- Smoking is more prevalent in Forest lake at 15.7% compared to 0.0% in Swansea.
- Binge drinking is more common in Forest lake at 21.4% compared to 0.0% in Swansea.
- Obesity rates are higher in Forest lake at 32.9% compared to 0.0% in Swansea.
- Disability percentages are higher in Forest lake at 10.0% 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 | Forest lake | Swansea |
|---|---|---|
| No Schooling | 0.5% (101) | 0.0% (Data is updating) |
| High School Diploma | 14.6% (3,055) | 0.0% (Data is updating) |
| Less than High School | 7.7% (1,615) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 24.6% (5,123) | 0.0% (Data is updating) |
Education Levels Comparison: Forest lake vs Swansea
- A higher percentage of residents in Forest lake have no formal schooling at 0.5% compared to 0.0% in Swansea.
- A higher percentage of residents in Forest lake hold a high school diploma at 14.6% compared to 0.0% in Swansea.
- More residents in Forest lake have less than a high school education at 7.7% compared to 0.0% in Swansea.
- A higher percentage of residents in Forest lake hold a bachelor's degree or higher at 24.6% 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.