Demographics details for Chanhassen, MN vs Waterbury, CT
Population Overview
Compare main population characteristics in Chanhassen, MN vs Waterbury, CT.
Data | Chanhassen | Waterbury |
---|---|---|
Population | 26,224 | 115,016 |
Median Age | 40.6 years | 36.7 years |
Median Income | $131,633 | $51,451 |
Married Families | 47.0% | 28.0% |
Poverty Level | 4% | 13% |
Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Chanhassen vs Waterbury
- The population in Waterbury is higher at 115,016, compared to 26,224 in Chanhassen.
- Residents in Chanhassen have a higher median age of 40.6 years compared to 36.7 years in Waterbury.
- Chanhassen has a higher median income of $131,633 compared to $51,451 in Waterbury.
- A higher percentage of married families is found in Chanhassen at 47.0% compared to 28.0% in Waterbury.
- The poverty level is higher in Waterbury at 13%, compared to 4% in Chanhassen.
- Waterbury has a higher unemployment rate at 4.5% compared to 3.4% in Chanhassen.
Demographics
Demographics Chanhassen vs Waterbury provide insight into the diversity of the communities to compare.
Demographic | Chanhassen | Waterbury |
---|---|---|
Black | 1 | 28 |
White | 84 | 22 |
Asian | 7 | 3 |
Hispanic | 3 | 36 |
Two or More Races | 5 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Chanhassen vs Waterbury
- In Waterbury, the percentage of Black residents is higher at 28% compared to 1% in Chanhassen.
- Chanhassen has a higher percentage of White residents at 84% compared to 22% in Waterbury.
- The Asian population is larger in Chanhassen at 7% compared to 3% in Waterbury.
- Waterbury has a higher percentage of Hispanic residents at 36%, compared to 3% in Chanhassen.
- The percentage of residents identifying as two or more races is higher in Waterbury at 11%, compared to 5% in Chanhassen.
- The percentage of American Indian residents is the same in both Chanhassen and Waterbury at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chanhassen | Waterbury |
---|---|---|
Mental Health Not Good | 11.8% | 17.3% |
Physical Health Not Good | 6.4% | 13.3% |
Depression | 19.8% | 22.0% |
Smoking | 10.0% | 21.8% |
Binge Drinking | 20.9% | 13.7% |
Obesity | 29.7% | 37.1% |
Disability Percentage | 5.0% | 16.0% |
Health Statistics Comparison: Chanhassen vs Waterbury
- In Waterbury, a higher percentage report poor mental health at 17.3% compared to 11.8% in Chanhassen.
- Higher depression rates are seen in Waterbury at 22.0% versus 19.8% in Chanhassen.
- Waterbury has a higher smoking rate at 21.8% compared to 10.0% in Chanhassen.
- Binge drinking is more common in Chanhassen at 20.9% compared to 13.7% in Waterbury.
- Waterbury has higher obesity rates at 37.1% compared to 29.7% in Chanhassen.
- There is a higher percentage of disabled individuals in Waterbury at 16.0% compared to 5.0% in Chanhassen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Chanhassen | Waterbury |
---|---|---|
No Schooling | 0.1% (31) | 1.9% (2,221) |
High School Diploma | 5.7% (1,502) | 21.4% (24,629) |
Less than High School | 1.7% (452) | 20.7% (23,816) |
Bachelor's Degree and Higher | 42.7% (11,186) | 11.1% (12,745) |
Education Levels Comparison: Chanhassen vs Waterbury
- In Waterbury, a larger percentage of residents lack formal schooling at 1.9% compared to 0.1% in Chanhassen.
- In Waterbury, the rate of residents with high school diplomas is higher at 21.4% compared to 5.7% in Chanhassen.
- The percentage of residents with less than a high school education is higher in Waterbury at 20.7%, compared to 1.7% in Chanhassen.
- A higher percentage of residents in Chanhassen hold a bachelor's degree or higher at 42.7% compared to 11.1% in Waterbury.
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.