Demographics details for Forest lake, MN vs Blue springs, MO
Population Overview
Compare main population characteristics in Forest lake, MN vs Blue springs, MO.
Data | Forest lake | Blue springs |
---|---|---|
Population | 20,857 | 59,518 |
Median Age | 37.9 years | 36.6 years |
Median Income | $91,157 | $82,965 |
Married Families | 42.0% | 42.0% |
Poverty Level | 6% | 9% |
Unemployment Rate | 3.2 | 3.7 |
Population Comparison: Forest lake vs Blue springs
- The population in Blue springs is higher at 59,518, compared to 20,857 in Forest lake.
- Residents in Forest lake have a higher median age of 37.9 years compared to 36.6 years in Blue springs.
- Forest lake has a higher median income of $91,157 compared to $82,965 in Blue springs.
- The percentage of married families is the same in both Forest lake and Blue springs at 42.0%.
- The poverty level is higher in Blue springs at 9%, compared to 6% in Forest lake.
- Blue springs has a higher unemployment rate at 3.7% compared to 3.2% in Forest lake.
Demographics
Demographics Forest lake vs Blue springs provide insight into the diversity of the communities to compare.
Demographic | Forest lake | Blue springs |
---|---|---|
Black | 3 | 7 |
White | 81 | 79 |
Asian | 4 | 1 |
Hispanic | 6 | 7 |
Two or More Races | 6 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest lake vs Blue springs
- In Blue springs, the percentage of Black residents is higher at 7% compared to 3% in Forest lake.
- Forest lake has a higher percentage of White residents at 81% compared to 79% in Blue springs.
- The Asian population is larger in Forest lake at 4% compared to 1% in Blue springs.
- Blue springs has a higher percentage of Hispanic residents at 7%, compared to 6% in Forest lake.
- Both Forest lake and Blue springs have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both Forest lake and Blue springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Forest lake | Blue springs |
---|---|---|
Mental Health Not Good | 14.7% | 17.3% |
Physical Health Not Good | 8.8% | 10.4% |
Depression | 24.1% | 22.8% |
Smoking | 15.7% | 15.6% |
Binge Drinking | 21.4% | 21.5% |
Obesity | 32.9% | 34.7% |
Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Forest lake vs Blue springs
- In Blue springs, a higher percentage report poor mental health at 17.3% compared to 14.7% in Forest lake.
- Depression is more prevalent in Forest lake at 24.1% compared to 22.8% in Blue springs.
- Smoking is more prevalent in Forest lake at 15.7% compared to 15.6% in Blue springs.
- More residents engage in binge drinking in Blue springs at 21.5% compared to 21.4% in Forest lake.
- Blue springs has higher obesity rates at 34.7% compared to 32.9% in Forest lake.
- Disability percentages are the same in both Forest lake and Blue springs at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Forest lake | Blue springs |
---|---|---|
No Schooling | 0.5% (101) | 0.3% (178) |
High School Diploma | 14.6% (3,055) | 16.5% (9,835) |
Less than High School | 7.7% (1,615) | 4.9% (2,932) |
Bachelor's Degree and Higher | 24.6% (5,123) | 21.8% (12,992) |
Education Levels Comparison: Forest lake vs Blue springs
- A higher percentage of residents in Forest lake have no formal schooling at 0.5% compared to 0.3% in Blue springs.
- In Blue springs, the rate of residents with high school diplomas is higher at 16.5% compared to 14.6% in Forest lake.
- More residents in Forest lake have less than a high school education at 7.7% compared to 4.9% in Blue springs.
- A higher percentage of residents in Forest lake hold a bachelor's degree or higher at 24.6% compared to 21.8% in Blue springs.
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.