Demographics details for Wheeler, TX vs Milwaukee, WI
Population Overview
Compare main population characteristics in Wheeler, TX vs Milwaukee, WI.
| Data | Wheeler | Milwaukee |
|---|---|---|
| Population | 4,807 | 563,305 |
| Median Age | 40.0 years | 31.8 years |
| Median Income | $58,158 | $49,733 |
| Married Families | 49.0% | 23.0% |
| Poverty Level | 14% | 18% |
| Unemployment Rate | 4.1 | 4.8 |
Population Comparison: Wheeler vs Milwaukee
- The population in Milwaukee is higher at 563,305, compared to 4,807 in Wheeler.
- Residents in Wheeler have a higher median age of 40.0 years compared to 31.8 years in Milwaukee.
- Wheeler has a higher median income of $58,158 compared to $49,733 in Milwaukee.
- A higher percentage of married families is found in Wheeler at 49.0% compared to 23.0% in Milwaukee.
- The poverty level is higher in Milwaukee at 18%, compared to 14% in Wheeler.
- Milwaukee has a higher unemployment rate at 4.8% compared to 4.1% in Wheeler.
Demographics
Demographics Wheeler vs Milwaukee provide insight into the diversity of the communities to compare.
| Demographic | Wheeler | Milwaukee |
|---|---|---|
| Black | 3 | 39 |
| White | 63 | 24 |
| Asian | Data is updating | 5 |
| Hispanic | 26 | 21 |
| Two or More Races | 8 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wheeler vs Milwaukee
- In Milwaukee, the percentage of Black residents is higher at 39% compared to 3% in Wheeler.
- Wheeler has a higher percentage of White residents at 63% compared to 24% in Milwaukee.
- In Milwaukee, the Asian population stands at 5%, greater than 0% in Wheeler.
- The Hispanic community is larger in Wheeler at 26% compared to 21% in Milwaukee.
- The percentage of residents identifying as two or more races is higher in Milwaukee at 10%, compared to 8% in Wheeler.
- In Milwaukee, the percentage of American Indian residents is higher at 1%, compared to 0% in Wheeler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeler | Milwaukee |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.5% |
| Physical Health Not Good | 13.6% | 12.7% |
| Depression | 24.8% | 22.9% |
| Smoking | 20.3% | 21.0% |
| Binge Drinking | 17.8% | 21.3% |
| Obesity | 39.0% | 41.6% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Wheeler vs Milwaukee
- More residents in Wheeler report poor mental health at 18.9% compared to 17.5% in Milwaukee.
- Depression is more prevalent in Wheeler at 24.8% compared to 22.9% in Milwaukee.
- Milwaukee has a higher smoking rate at 21.0% compared to 20.3% in Wheeler.
- More residents engage in binge drinking in Milwaukee at 21.3% compared to 17.8% in Wheeler.
- Milwaukee has higher obesity rates at 41.6% compared to 39.0% in Wheeler.
- Disability percentages are higher in Wheeler 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 | Wheeler | Milwaukee |
|---|---|---|
| No Schooling | 1.2% (59) | 1.3% (7,509) |
| High School Diploma | 23.7% (1,141) | 16.7% (93,798) |
| Less than High School | 19.7% (948) | 14.4% (81,002) |
| Bachelor's Degree and Higher | 12.4% (596) | 16.6% (93,378) |
Education Levels Comparison: Wheeler vs Milwaukee
- In Milwaukee, a larger percentage of residents lack formal schooling at 1.3% compared to 1.2% in Wheeler.
- A higher percentage of residents in Wheeler hold a high school diploma at 23.7% compared to 16.7% in Milwaukee.
- More residents in Wheeler have less than a high school education at 19.7% 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 12.4% in Wheeler.
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.