Demographics details for Byron, IL vs Forest lake, MN
Population Overview
Compare main population characteristics in Byron, IL vs Forest lake, MN.
| Data | Byron | Forest lake |
|---|---|---|
| Population | 3,768 | 20,857 |
| Median Age | 35.9 years | 37.9 years |
| Median Income | $76,212 | $91,157 |
| Married Families | 36.0% | 42.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 4.0 | 3.2 |
Population Comparison: Byron vs Forest lake
- The population in Forest lake is higher at 20,857, compared to 3,768 in Byron.
- The median age in Forest lake is higher at 37.9 years, compared to 35.9 years in Byron.
- Forest lake has a higher median income of $91,157, compared to $76,212 in Byron.
- In Forest lake, the percentage of married families is higher at 42.0%, compared to 36.0% in Byron.
- The poverty level is higher in Forest lake at 6%, compared to 5% in Byron.
- The unemployment rate in Byron is higher at 4.0%, compared to 3.2% in Forest lake.
Demographics
Demographics Byron vs Forest lake provide insight into the diversity of the communities to compare.
| Demographic | Byron | Forest lake |
|---|---|---|
| Black | Data is updating | 3 |
| White | 79 | 81 |
| Asian | Data is updating | 4 |
| Hispanic | 9 | 6 |
| Two or More Races | 11 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Byron vs Forest lake
- In Forest lake, the percentage of Black residents is higher at 3% compared to 0% in Byron.
- The percentage of White residents is higher in Forest lake at 81% compared to 79% in Byron.
- In Forest lake, the Asian population stands at 4%, greater than 0% in Byron.
- The Hispanic community is larger in Byron at 9% compared to 6% in Forest lake.
- More residents identify as two or more races in Byron at 11% compared to 6% in Forest lake.
- A greater percentage of American Indian residents live in Byron at 1% compared to 0% in Forest lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Byron | Forest lake |
|---|---|---|
| Mental Health Not Good | 15.3% | 14.7% |
| Physical Health Not Good | 9.6% | 8.8% |
| Depression | 21.1% | 24.1% |
| Smoking | 14.6% | 15.7% |
| Binge Drinking | 19.1% | 21.4% |
| Obesity | 32.4% | 32.9% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Byron vs Forest lake
- More residents in Byron report poor mental health at 15.3% compared to 14.7% in Forest lake.
- Higher depression rates are seen in Forest lake at 24.1% versus 21.1% in Byron.
- Forest lake has a higher smoking rate at 15.7% compared to 14.6% in Byron.
- More residents engage in binge drinking in Forest lake at 21.4% compared to 19.1% in Byron.
- Forest lake has higher obesity rates at 32.9% compared to 32.4% in Byron.
- Disability percentages are higher in Byron at 12.0% 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 | Byron | Forest lake |
|---|---|---|
| No Schooling | 0.1% (5) | 0.5% (101) |
| High School Diploma | 14.1% (531) | 14.6% (3,055) |
| Less than High School | 4.6% (174) | 7.7% (1,615) |
| Bachelor's Degree and Higher | 21.0% (793) | 24.6% (5,123) |
Education Levels Comparison: Byron vs Forest lake
- In Forest lake, a larger percentage of residents lack formal schooling at 0.5% compared to 0.1% in Byron.
- In Forest lake, the rate of residents with high school diplomas is higher at 14.6% compared to 14.1% in Byron.
- The percentage of residents with less than a high school education is higher in Forest lake at 7.7%, compared to 4.6% in Byron.
- In Forest lake, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 21.0% in Byron.
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.