Demographics details for Crystal lake, IL vs Dearborn, MI
Population Overview
Compare main population characteristics in Crystal lake, IL vs Dearborn, MI.
Data | Crystal lake | Dearborn |
---|---|---|
Population | 40,661 | 107,710 |
Median Age | 39.9 years | 32.3 years |
Median Income | $103,018 | $64,600 |
Married Families | 46.0% | 38.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 5.4 | 4.1 |
Population Comparison: Crystal lake vs Dearborn
- The population in Dearborn is higher at 107,710, compared to 40,661 in Crystal lake.
- Residents in Crystal lake have a higher median age of 39.9 years compared to 32.3 years in Dearborn.
- Crystal lake has a higher median income of $103,018 compared to $64,600 in Dearborn.
- A higher percentage of married families is found in Crystal lake at 46.0% compared to 38.0% in Dearborn.
- The poverty level is higher in Dearborn at 12%, compared to 5% in Crystal lake.
- The unemployment rate in Crystal lake is higher at 5.4%, compared to 4.1% in Dearborn.
Demographics
Demographics Crystal lake vs Dearborn provide insight into the diversity of the communities to compare.
Demographic | Crystal lake | Dearborn |
---|---|---|
Black | 1 | 3 |
White | 79 | 86 |
Asian | 4 | 3 |
Hispanic | 11 | 3 |
Two or More Races | 5 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Crystal lake vs Dearborn
- In Dearborn, the percentage of Black residents is higher at 3% compared to 1% in Crystal lake.
- The percentage of White residents is higher in Dearborn at 86% compared to 79% in Crystal lake.
- The Asian population is larger in Crystal lake at 4% compared to 3% in Dearborn.
- The Hispanic community is larger in Crystal lake at 11% compared to 3% in Dearborn.
- Both Crystal lake and Dearborn have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Crystal lake and Dearborn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Crystal lake | Dearborn |
---|---|---|
Mental Health Not Good | 14.0% | 19.4% |
Physical Health Not Good | 8.9% | 13.7% |
Depression | 19.6% | 26.6% |
Smoking | 12.3% | 24.6% |
Binge Drinking | 18.9% | 17.6% |
Obesity | 29.5% | 34.2% |
Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Crystal lake vs Dearborn
- In Dearborn, a higher percentage report poor mental health at 19.4% compared to 14.0% in Crystal lake.
- Higher depression rates are seen in Dearborn at 26.6% versus 19.6% in Crystal lake.
- Dearborn has a higher smoking rate at 24.6% compared to 12.3% in Crystal lake.
- Binge drinking is more common in Crystal lake at 18.9% compared to 17.6% in Dearborn.
- Dearborn has higher obesity rates at 34.2% compared to 29.5% in Crystal lake.
- There is a higher percentage of disabled individuals in Dearborn at 11.0% 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 | Dearborn |
---|---|---|
No Schooling | 0.2% (95) | 2.8% (3,058) |
High School Diploma | 13.8% (5,614) | 12.3% (13,249) |
Less than High School | 5.8% (2,362) | 17.5% (18,849) |
Bachelor's Degree and Higher | 27.1% (11,028) | 21.3% (22,938) |
Education Levels Comparison: Crystal lake vs Dearborn
- In Dearborn, a larger percentage of residents lack formal schooling at 2.8% 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 12.3% in Dearborn.
- The percentage of residents with less than a high school education is higher in Dearborn at 17.5%, 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 21.3% in Dearborn.
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.