Demographics details for Waterbury, CT vs Milwaukee, WI
Population Overview
Compare main population characteristics in Waterbury, CT vs Milwaukee, WI.
| Data | Waterbury | Milwaukee |
|---|---|---|
| Population | 115,016 | 563,305 |
| Median Age | 36.7 years | 31.8 years |
| Median Income | $51,451 | $49,733 |
| Married Families | 28.0% | 23.0% |
| Poverty Level | 13% | 18% |
| Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Waterbury vs Milwaukee
- The population in Milwaukee is higher at 563,305, compared to 115,016 in Waterbury.
- Residents in Waterbury have a higher median age of 36.7 years compared to 31.8 years in Milwaukee.
- Waterbury has a higher median income of $51,451 compared to $49,733 in Milwaukee.
- A higher percentage of married families is found in Waterbury at 28.0% compared to 23.0% in Milwaukee.
- The poverty level is higher in Milwaukee at 18%, compared to 13% in Waterbury.
- Milwaukee has a higher unemployment rate at 4.8% compared to 4.5% in Waterbury.
Demographics
Demographics Waterbury vs Milwaukee provide insight into the diversity of the communities to compare.
| Demographic | Waterbury | Milwaukee |
|---|---|---|
| Black | 28 | 39 |
| White | 22 | 24 |
| Asian | 3 | 5 |
| Hispanic | 36 | 21 |
| Two or More Races | 11 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterbury vs Milwaukee
- In Milwaukee, the percentage of Black residents is higher at 39% compared to 28% in Waterbury.
- The percentage of White residents is higher in Milwaukee at 24% compared to 22% in Waterbury.
- In Milwaukee, the Asian population stands at 5%, greater than 3% in Waterbury.
- The Hispanic community is larger in Waterbury at 36% compared to 21% in Milwaukee.
- More residents identify as two or more races in Waterbury at 11% compared to 10% in Milwaukee.
- In Milwaukee, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterbury.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterbury | Milwaukee |
|---|---|---|
| Mental Health Not Good | 17.3% | 17.5% |
| Physical Health Not Good | 13.3% | 12.7% |
| Depression | 22.0% | 22.9% |
| Smoking | 21.8% | 21.0% |
| Binge Drinking | 13.7% | 21.3% |
| Obesity | 37.1% | 41.6% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Waterbury vs Milwaukee
- In Milwaukee, a higher percentage report poor mental health at 17.5% compared to 17.3% in Waterbury.
- Higher depression rates are seen in Milwaukee at 22.9% versus 22.0% in Waterbury.
- Smoking is more prevalent in Waterbury at 21.8% compared to 21.0% in Milwaukee.
- More residents engage in binge drinking in Milwaukee at 21.3% compared to 13.7% in Waterbury.
- Milwaukee has higher obesity rates at 41.6% compared to 37.1% in Waterbury.
- Disability percentages are higher in Waterbury at 16.0% compared to 13.0% in Milwaukee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterbury | Milwaukee |
|---|---|---|
| No Schooling | 1.9% (2,221) | 1.3% (7,509) |
| High School Diploma | 21.4% (24,629) | 16.7% (93,798) |
| Less than High School | 20.7% (23,816) | 14.4% (81,002) |
| Bachelor's Degree and Higher | 11.1% (12,745) | 16.6% (93,378) |
Education Levels Comparison: Waterbury vs Milwaukee
- A higher percentage of residents in Waterbury have no formal schooling at 1.9% compared to 1.3% in Milwaukee.
- A higher percentage of residents in Waterbury hold a high school diploma at 21.4% compared to 16.7% in Milwaukee.
- More residents in Waterbury have less than a high school education at 20.7% compared to 14.4% in Milwaukee.
- In Milwaukee, a larger share of residents have a bachelor's degree or higher at 16.6% 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.