Demographics details for Springfield, MA vs Forest lake, MN
Population Overview
Compare main population characteristics in Springfield, MA vs Forest lake, MN.
Data | Springfield | Forest lake |
---|---|---|
Population | 154,064 | 20,857 |
Median Age | 33.4 years | 37.9 years |
Median Income | $47,677 | $91,157 |
Married Families | 26.0% | 42.0% |
Poverty Level | 20% | 6% |
Unemployment Rate | 6.9 | 3.2 |
Population Comparison: Springfield vs Forest lake
- In Springfield, the population is higher at 154,064, compared to 20,857 in Forest lake.
- The median age in Forest lake is higher at 37.9 years, compared to 33.4 years in Springfield.
- Forest lake has a higher median income of $91,157, compared to $47,677 in Springfield.
- In Forest lake, the percentage of married families is higher at 42.0%, compared to 26.0% in Springfield.
- Springfield has a higher poverty level at 20% compared to 6% in Forest lake.
- The unemployment rate in Springfield is higher at 6.9%, compared to 3.2% in Forest lake.
Demographics
Demographics Springfield vs Forest lake provide insight into the diversity of the communities to compare.
Demographic | Springfield | Forest lake |
---|---|---|
Black | 21 | 3 |
White | 8 | 81 |
Asian | 3 | 4 |
Hispanic | 49 | 6 |
Two or More Races | 19 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Forest lake
- A higher percentage of Black residents are in Springfield at 21% compared to 3% in Forest lake.
- The percentage of White residents is higher in Forest lake at 81% compared to 8% in Springfield.
- In Forest lake, the Asian population stands at 4%, greater than 3% in Springfield.
- The Hispanic community is larger in Springfield at 49% compared to 6% in Forest lake.
- More residents identify as two or more races in Springfield at 19% compared to 6% in Forest lake.
- The percentage of American Indian residents is the same in both Springfield and Forest lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springfield | Forest lake |
---|---|---|
Mental Health Not Good | 21.2% | 14.7% |
Physical Health Not Good | 14.9% | 8.8% |
Depression | 25.8% | 24.1% |
Smoking | 19.9% | 15.7% |
Binge Drinking | 14.3% | 21.4% |
Obesity | 40.8% | 32.9% |
Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Springfield vs Forest lake
- More residents in Springfield report poor mental health at 21.2% compared to 14.7% in Forest lake.
- Depression is more prevalent in Springfield at 25.8% compared to 24.1% in Forest lake.
- Smoking is more prevalent in Springfield at 19.9% compared to 15.7% in Forest lake.
- More residents engage in binge drinking in Forest lake at 21.4% compared to 14.3% in Springfield.
- Obesity rates are higher in Springfield at 40.8% compared to 32.9% in Forest lake.
- Disability percentages are higher in Springfield at 19.0% compared to 10.0% in Forest lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Springfield | Forest lake |
---|---|---|
No Schooling | 2.0% (3,005) | 0.5% (101) |
High School Diploma | 16.7% (25,679) | 14.6% (3,055) |
Less than High School | 23.8% (36,663) | 7.7% (1,615) |
Bachelor's Degree and Higher | 12.7% (19,500) | 24.6% (5,123) |
Education Levels Comparison: Springfield vs Forest lake
- A higher percentage of residents in Springfield have no formal schooling at 2.0% compared to 0.5% in Forest lake.
- A higher percentage of residents in Springfield hold a high school diploma at 16.7% compared to 14.6% in Forest lake.
- More residents in Springfield have less than a high school education at 23.8% compared to 7.7% in Forest lake.
- In Forest lake, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 12.7% in Springfield.
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.