Demographics details for Grinnell, KS vs Forest lake, MN
Population Overview
Compare main population characteristics in Grinnell, KS vs Forest lake, MN.
Data | Grinnell | Forest lake |
---|---|---|
Population | 254 | 20,857 |
Median Age | 37.9 years | 37.9 years |
Median Income | $56,042 | $91,157 |
Married Families | 58.0% | 42.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Grinnell vs Forest lake
- The population in Forest lake is higher at 20,857, compared to 254 in Grinnell.
- The median age is the same in both Grinnell and Forest lake at 37.9 years.
- Forest lake has a higher median income of $91,157, compared to $56,042 in Grinnell.
- A higher percentage of married families is found in Grinnell at 58.0% compared to 42.0% in Forest lake.
- Grinnell has a higher poverty level at 12% compared to 6% in Forest lake.
- The unemployment rate is the same in both Grinnell and Forest lake at 3.2%.
Demographics
Demographics Grinnell vs Forest lake provide insight into the diversity of the communities to compare.
Demographic | Grinnell | Forest lake |
---|---|---|
Black | Data is updating | 3 |
White | 100 | 81 |
Asian | Data is updating | 4 |
Hispanic | Data is updating | 6 |
Two or More Races | Data is updating | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Grinnell vs Forest lake
- In Forest lake, the percentage of Black residents is higher at 3% compared to 0% in Grinnell.
- Grinnell has a higher percentage of White residents at 100% compared to 81% in Forest lake.
- In Forest lake, the Asian population stands at 4%, greater than 0% in Grinnell.
- Forest lake has a higher percentage of Hispanic residents at 6%, compared to 0% in Grinnell.
- The percentage of residents identifying as two or more races is higher in Forest lake at 6%, compared to 0% in Grinnell.
- The percentage of American Indian residents is the same in both Grinnell and Forest lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Grinnell | Forest lake |
---|---|---|
Mental Health Not Good | 15.1% | 14.7% |
Physical Health Not Good | 9.6% | 8.8% |
Depression | 20.1% | 24.1% |
Smoking | 17.6% | 15.7% |
Binge Drinking | 20.4% | 21.4% |
Obesity | 38.3% | 32.9% |
Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Grinnell vs Forest lake
- More residents in Grinnell report poor mental health at 15.1% compared to 14.7% in Forest lake.
- Higher depression rates are seen in Forest lake at 24.1% versus 20.1% in Grinnell.
- Smoking is more prevalent in Grinnell at 17.6% compared to 15.7% in Forest lake.
- More residents engage in binge drinking in Forest lake at 21.4% compared to 20.4% in Grinnell.
- Obesity rates are higher in Grinnell at 38.3% compared to 32.9% in Forest lake.
- Disability percentages are higher in Grinnell at 15.0% 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 | Grinnell | Forest lake |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (101) |
High School Diploma | 18.9% (48) | 14.6% (3,055) |
Less than High School | 16.5% (42) | 7.7% (1,615) |
Bachelor's Degree and Higher | 16.9% (43) | 24.6% (5,123) |
Education Levels Comparison: Grinnell vs Forest lake
- In Forest lake, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Grinnell.
- A higher percentage of residents in Grinnell hold a high school diploma at 18.9% compared to 14.6% in Forest lake.
- More residents in Grinnell have less than a high school education at 16.5% 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 16.9% in Grinnell.
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.