Demographics details for Norway, MI vs Forest lake, MN
Population Overview
Compare main population characteristics in Norway, MI vs Forest lake, MN.
| Data | Norway | Forest lake |
|---|---|---|
| Population | 2,827 | 20,857 |
| Median Age | 45.3 years | 37.9 years |
| Median Income | $49,261 | $91,157 |
| Married Families | 38.0% | 42.0% |
| Poverty Level | 15% | 6% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Norway vs Forest lake
- The population in Forest lake is higher at 20,857, compared to 2,827 in Norway.
- Residents in Norway have a higher median age of 45.3 years compared to 37.9 years in Forest lake.
- Forest lake has a higher median income of $91,157, compared to $49,261 in Norway.
- In Forest lake, the percentage of married families is higher at 42.0%, compared to 38.0% in Norway.
- Norway has a higher poverty level at 15% compared to 6% in Forest lake.
- The unemployment rate in Norway is higher at 4.5%, compared to 3.2% in Forest lake.
Demographics
Demographics Norway vs Forest lake provide insight into the diversity of the communities to compare.
| Demographic | Norway | Forest lake |
|---|---|---|
| Black | 1 | 3 |
| White | 96 | 81 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 6 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Norway vs Forest lake
- In Forest lake, the percentage of Black residents is higher at 3% compared to 1% in Norway.
- Norway has a higher percentage of White residents at 96% compared to 81% in Forest lake.
- In Forest lake, the Asian population stands at 4%, greater than 0% in Norway.
- Forest lake has a higher percentage of Hispanic residents at 6%, compared to 0% in Norway.
- The percentage of residents identifying as two or more races is higher in Forest lake at 6%, compared to 3% in Norway.
- The percentage of American Indian residents is the same in both Norway and Forest lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Norway | Forest lake |
|---|---|---|
| Mental Health Not Good | 16.9% | 14.7% |
| Physical Health Not Good | 10.2% | 8.8% |
| Depression | 25.7% | 24.1% |
| Smoking | 16.4% | 15.7% |
| Binge Drinking | 19.1% | 21.4% |
| Obesity | 34.9% | 32.9% |
| Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: Norway vs Forest lake
- More residents in Norway report poor mental health at 16.9% compared to 14.7% in Forest lake.
- Depression is more prevalent in Norway at 25.7% compared to 24.1% in Forest lake.
- Smoking is more prevalent in Norway at 16.4% compared to 15.7% in Forest lake.
- More residents engage in binge drinking in Forest lake at 21.4% compared to 19.1% in Norway.
- Obesity rates are higher in Norway at 34.9% compared to 32.9% in Forest lake.
- Disability percentages are higher in Norway at 18.0% 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 | Norway | Forest lake |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (101) |
| High School Diploma | 21.9% (618) | 14.6% (3,055) |
| Less than High School | 11.6% (329) | 7.7% (1,615) |
| Bachelor's Degree and Higher | 12.2% (346) | 24.6% (5,123) |
Education Levels Comparison: Norway vs Forest lake
- In Forest lake, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Norway.
- A higher percentage of residents in Norway hold a high school diploma at 21.9% compared to 14.6% in Forest lake.
- More residents in Norway have less than a high school education at 11.6% 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 12.2% in Norway.
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.