Demographics details for Winfield, KS vs Milwaukee, WI
Population Overview
Compare main population characteristics in Winfield, KS vs Milwaukee, WI.
| Data | Winfield | Milwaukee |
|---|---|---|
| Population | 11,701 | 563,305 |
| Median Age | 37.1 years | 31.8 years |
| Median Income | $55,850 | $49,733 |
| Married Families | 34.0% | 23.0% |
| Poverty Level | 11% | 18% |
| Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Winfield vs Milwaukee
- The population in Milwaukee is higher at 563,305, compared to 11,701 in Winfield.
- Residents in Winfield have a higher median age of 37.1 years compared to 31.8 years in Milwaukee.
- Winfield has a higher median income of $55,850 compared to $49,733 in Milwaukee.
- A higher percentage of married families is found in Winfield at 34.0% compared to 23.0% in Milwaukee.
- The poverty level is higher in Milwaukee at 18%, compared to 11% in Winfield.
- Milwaukee has a higher unemployment rate at 4.8% compared to 3.5% in Winfield.
Demographics
Demographics Winfield vs Milwaukee provide insight into the diversity of the communities to compare.
| Demographic | Winfield | Milwaukee |
|---|---|---|
| Black | 3 | 39 |
| White | 79 | 24 |
| Asian | 4 | 5 |
| Hispanic | 8 | 21 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Winfield vs Milwaukee
- In Milwaukee, the percentage of Black residents is higher at 39% compared to 3% in Winfield.
- Winfield has a higher percentage of White residents at 79% compared to 24% in Milwaukee.
- In Milwaukee, the Asian population stands at 5%, greater than 4% in Winfield.
- Milwaukee has a higher percentage of Hispanic residents at 21%, compared to 8% in Winfield.
- The percentage of residents identifying as two or more races is higher in Milwaukee at 10%, compared to 6% in Winfield.
- In Milwaukee, the percentage of American Indian residents is higher at 1%, compared to 0% in Winfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winfield | Milwaukee |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.5% |
| Physical Health Not Good | 11.2% | 12.7% |
| Depression | 22.4% | 22.9% |
| Smoking | 20.5% | 21.0% |
| Binge Drinking | 17.4% | 21.3% |
| Obesity | 40.5% | 41.6% |
| Disability Percentage | 19.0% | 13.0% |
Health Statistics Comparison: Winfield vs Milwaukee
- In Milwaukee, a higher percentage report poor mental health at 17.5% compared to 17.1% in Winfield.
- Higher depression rates are seen in Milwaukee at 22.9% versus 22.4% in Winfield.
- Milwaukee has a higher smoking rate at 21.0% compared to 20.5% in Winfield.
- More residents engage in binge drinking in Milwaukee at 21.3% compared to 17.4% in Winfield.
- Milwaukee has higher obesity rates at 41.6% compared to 40.5% in Winfield.
- Disability percentages are higher in Winfield at 19.0% 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 | Winfield | Milwaukee |
|---|---|---|
| No Schooling | 1.5% (173) | 1.3% (7,509) |
| High School Diploma | 15.9% (1,856) | 16.7% (93,798) |
| Less than High School | 10.4% (1,217) | 14.4% (81,002) |
| Bachelor's Degree and Higher | 19.1% (2,232) | 16.6% (93,378) |
Education Levels Comparison: Winfield vs Milwaukee
- A higher percentage of residents in Winfield have no formal schooling at 1.5% compared to 1.3% in Milwaukee.
- In Milwaukee, the rate of residents with high school diplomas is higher at 16.7% compared to 15.9% in Winfield.
- The percentage of residents with less than a high school education is higher in Milwaukee at 14.4%, compared to 10.4% in Winfield.
- A higher percentage of residents in Winfield hold a bachelor's degree or higher at 19.1% compared to 16.6% in Milwaukee.
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.