Demographics details for Chester, CT vs Wauconda, IL
Population Overview
Compare main population characteristics in Chester, CT vs Wauconda, IL.
| Data | Chester | Wauconda |
|---|---|---|
| Population | 3,994 | 13,932 |
| Median Age | 43.0 years | 36.8 years |
| Median Income | $102,500 | $108,229 |
| Married Families | 64.0% | 43.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 2.1 | 3.5 |
Population Comparison: Chester vs Wauconda
- The population in Wauconda is higher at 13,932, compared to 3,994 in Chester.
- Residents in Chester have a higher median age of 43.0 years compared to 36.8 years in Wauconda.
- Wauconda has a higher median income of $108,229, compared to $102,500 in Chester.
- A higher percentage of married families is found in Chester at 64.0% compared to 43.0% in Wauconda.
- The poverty level is higher in Wauconda at 8%, compared to 5% in Chester.
- Wauconda has a higher unemployment rate at 3.5% compared to 2.1% in Chester.
Demographics
Demographics Chester vs Wauconda provide insight into the diversity of the communities to compare.
| Demographic | Chester | Wauconda |
|---|---|---|
| Black | 1 | 1 |
| White | 87 | 66 |
| Asian | Data is updating | 6 |
| Hispanic | 5 | 18 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chester vs Wauconda
- The percentage of Black residents is the same in both Chester and Wauconda at 1%.
- Chester has a higher percentage of White residents at 87% compared to 66% in Wauconda.
- In Wauconda, the Asian population stands at 6%, greater than 0% in Chester.
- Wauconda has a higher percentage of Hispanic residents at 18%, compared to 5% in Chester.
- The percentage of residents identifying as two or more races is higher in Wauconda at 9%, compared to 3% in Chester.
- The percentage of American Indian residents is the same in both Chester and Wauconda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Wauconda |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.2% |
| Physical Health Not Good | Data is updating% | 9.2% |
| Depression | Data is updating% | 18.8% |
| Smoking | Data is updating% | 12.7% |
| Binge Drinking | Data is updating% | 18.8% |
| Obesity | Data is updating% | 31.0% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Chester vs Wauconda
- In Wauconda, a higher percentage report poor mental health at 14.2% compared to 0.0% in Chester.
- Higher depression rates are seen in Wauconda at 18.8% versus 0.0% in Chester.
- Wauconda has a higher smoking rate at 12.7% compared to 0.0% in Chester.
- More residents engage in binge drinking in Wauconda at 18.8% compared to 0.0% in Chester.
- Wauconda has higher obesity rates at 31.0% compared to 0.0% in Chester.
- There is a higher percentage of disabled individuals in Wauconda at 8.0% compared to 0.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Wauconda |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (202) |
| High School Diploma | 0.0% (Data is updating) | 10.5% (1,456) |
| Less than High School | 0.0% (Data is updating) | 10.2% (1,425) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 26.0% (3,623) |
Education Levels Comparison: Chester vs Wauconda
- In Wauconda, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Chester.
- In Wauconda, the rate of residents with high school diplomas is higher at 10.5% compared to 0.0% in Chester.
- The percentage of residents with less than a high school education is higher in Wauconda at 10.2%, compared to 0.0% in Chester.
- In Wauconda, a larger share of residents have a bachelor's degree or higher at 26.0% compared to 0.0% in Chester.
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.