Demographics details for Crystal lake, IL vs Kasson, MN
Population Overview
Compare main population characteristics in Crystal lake, IL vs Kasson, MN.
| Data | Crystal lake | Kasson |
|---|---|---|
| Population | 40,661 | 6,996 |
| Median Age | 39.9 years | 34.5 years |
| Median Income | $103,018 | $91,581 |
| Married Families | 46.0% | 47.0% |
| Poverty Level | 5% | 7% |
| Unemployment Rate | 5.4 | 3.1 |
Population Comparison: Crystal lake vs Kasson
- In Crystal lake, the population is higher at 40,661, compared to 6,996 in Kasson.
- Residents in Crystal lake have a higher median age of 39.9 years compared to 34.5 years in Kasson.
- Crystal lake has a higher median income of $103,018 compared to $91,581 in Kasson.
- In Kasson, the percentage of married families is higher at 47.0%, compared to 46.0% in Crystal lake.
- The poverty level is higher in Kasson at 7%, compared to 5% in Crystal lake.
- The unemployment rate in Crystal lake is higher at 5.4%, compared to 3.1% in Kasson.
Demographics
Demographics Crystal lake vs Kasson provide insight into the diversity of the communities to compare.
| Demographic | Crystal lake | Kasson |
|---|---|---|
| Black | 1 | Data is updating |
| White | 79 | 94 |
| Asian | 4 | Data is updating |
| Hispanic | 11 | 4 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Crystal lake vs Kasson
- A higher percentage of Black residents are in Crystal lake at 1% compared to 0% in Kasson.
- The percentage of White residents is higher in Kasson at 94% compared to 79% in Crystal lake.
- The Asian population is larger in Crystal lake at 4% compared to 0% in Kasson.
- The Hispanic community is larger in Crystal lake at 11% compared to 4% in Kasson.
- More residents identify as two or more races in Crystal lake at 5% compared to 2% in Kasson.
- The percentage of American Indian residents is the same in both Crystal lake and Kasson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Crystal lake | Kasson |
|---|---|---|
| Mental Health Not Good | 14.0% | 14.1% |
| Physical Health Not Good | 8.9% | 8.4% |
| Depression | 19.6% | 22.4% |
| Smoking | 12.3% | 15.8% |
| Binge Drinking | 18.9% | 20.6% |
| Obesity | 29.5% | 35.8% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Crystal lake vs Kasson
- In Kasson, a higher percentage report poor mental health at 14.1% compared to 14.0% in Crystal lake.
- Higher depression rates are seen in Kasson at 22.4% versus 19.6% in Crystal lake.
- Kasson has a higher smoking rate at 15.8% compared to 12.3% in Crystal lake.
- More residents engage in binge drinking in Kasson at 20.6% compared to 18.9% in Crystal lake.
- Kasson has higher obesity rates at 35.8% compared to 29.5% in Crystal lake.
- Disability percentages are the same in both Crystal lake and Kasson at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Crystal lake | Kasson |
|---|---|---|
| No Schooling | 0.2% (95) | 0.9% (61) |
| High School Diploma | 13.8% (5,614) | 11.8% (829) |
| Less than High School | 5.8% (2,362) | 3.7% (256) |
| Bachelor's Degree and Higher | 27.1% (11,028) | 23.1% (1,615) |
Education Levels Comparison: Crystal lake vs Kasson
- In Kasson, a larger percentage of residents lack formal schooling at 0.9% compared to 0.2% in Crystal lake.
- A higher percentage of residents in Crystal lake hold a high school diploma at 13.8% compared to 11.8% in Kasson.
- More residents in Crystal lake have less than a high school education at 5.8% compared to 3.7% in Kasson.
- A higher percentage of residents in Crystal lake hold a bachelor's degree or higher at 27.1% compared to 23.1% in Kasson.
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.