Demographics details for Crystal lake, IL vs Darwin, MN
Population Overview
Compare main population characteristics in Crystal lake, IL vs Darwin, MN.
| Data | Crystal lake | Darwin |
|---|---|---|
| Population | 40,661 | 344 |
| Median Age | 39.9 years | 34.8 years |
| Median Income | $103,018 | $62,083 |
| Married Families | 46.0% | 37.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 5.4 | 3.2 |
Population Comparison: Crystal lake vs Darwin
- In Crystal lake, the population is higher at 40,661, compared to 344 in Darwin.
- Residents in Crystal lake have a higher median age of 39.9 years compared to 34.8 years in Darwin.
- Crystal lake has a higher median income of $103,018 compared to $62,083 in Darwin.
- A higher percentage of married families is found in Crystal lake at 46.0% compared to 37.0% in Darwin.
- The poverty level is identical in both Crystal lake and Darwin at 5%.
- The unemployment rate in Crystal lake is higher at 5.4%, compared to 3.2% in Darwin.
Demographics
Demographics Crystal lake vs Darwin provide insight into the diversity of the communities to compare.
| Demographic | Crystal lake | Darwin |
|---|---|---|
| Black | 1 | Data is updating |
| White | 79 | 90 |
| Asian | 4 | Data is updating |
| Hispanic | 11 | 9 |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Crystal lake vs Darwin
- A higher percentage of Black residents are in Crystal lake at 1% compared to 0% in Darwin.
- The percentage of White residents is higher in Darwin at 90% compared to 79% in Crystal lake.
- The Asian population is larger in Crystal lake at 4% compared to 0% in Darwin.
- The Hispanic community is larger in Crystal lake at 11% compared to 9% in Darwin.
- More residents identify as two or more races in Crystal lake at 5% compared to 1% in Darwin.
- The percentage of American Indian residents is the same in both Crystal lake and Darwin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Crystal lake | Darwin |
|---|---|---|
| Mental Health Not Good | 14.0% | 14.7% |
| Physical Health Not Good | 8.9% | 8.8% |
| Depression | 19.6% | 23.2% |
| Smoking | 12.3% | 17.5% |
| Binge Drinking | 18.9% | 22.3% |
| Obesity | 29.5% | 32.7% |
| Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: Crystal lake vs Darwin
- In Darwin, a higher percentage report poor mental health at 14.7% compared to 14.0% in Crystal lake.
- Higher depression rates are seen in Darwin at 23.2% versus 19.6% in Crystal lake.
- Darwin has a higher smoking rate at 17.5% compared to 12.3% in Crystal lake.
- More residents engage in binge drinking in Darwin at 22.3% compared to 18.9% in Crystal lake.
- Darwin has higher obesity rates at 32.7% compared to 29.5% in Crystal lake.
- There is a higher percentage of disabled individuals in Darwin at 19.0% compared to 9.0% in Crystal lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Crystal lake | Darwin |
|---|---|---|
| No Schooling | 0.2% (95) | 1.7% (6) |
| High School Diploma | 13.8% (5,614) | 20.9% (72) |
| Less than High School | 5.8% (2,362) | 9.3% (32) |
| Bachelor's Degree and Higher | 27.1% (11,028) | 11.9% (41) |
Education Levels Comparison: Crystal lake vs Darwin
- In Darwin, a larger percentage of residents lack formal schooling at 1.7% compared to 0.2% in Crystal lake.
- In Darwin, the rate of residents with high school diplomas is higher at 20.9% compared to 13.8% in Crystal lake.
- The percentage of residents with less than a high school education is higher in Darwin at 9.3%, compared to 5.8% in Crystal lake.
- A higher percentage of residents in Crystal lake hold a bachelor's degree or higher at 27.1% compared to 11.9% in Darwin.
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.