Demographics details for Milwaukee, WI vs Marshall, TX
Population Overview
Compare main population characteristics in Milwaukee, WI vs Marshall, TX.
| Data | Milwaukee | Marshall |
|---|---|---|
| Population | 563,305 | 23,641 |
| Median Age | 31.8 years | 34.1 years |
| Median Income | $49,733 | $49,162 |
| Married Families | 23.0% | 27.0% |
| Poverty Level | 18% | 17% |
| Unemployment Rate | 4.8 | 5.1 |
Population Comparison: Milwaukee vs Marshall
- In Milwaukee, the population is higher at 563,305, compared to 23,641 in Marshall.
- The median age in Marshall is higher at 34.1 years, compared to 31.8 years in Milwaukee.
- Milwaukee has a higher median income of $49,733 compared to $49,162 in Marshall.
- In Marshall, the percentage of married families is higher at 27.0%, compared to 23.0% in Milwaukee.
- Milwaukee has a higher poverty level at 18% compared to 17% in Marshall.
- Marshall has a higher unemployment rate at 5.1% compared to 4.8% in Milwaukee.
Demographics
Demographics Milwaukee vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Milwaukee | Marshall |
|---|---|---|
| Black | 39 | 40 |
| White | 24 | 28 |
| Asian | 5 | 1 |
| Hispanic | 21 | 20 |
| Two or More Races | 10 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Milwaukee vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 39% in Milwaukee.
- The percentage of White residents is higher in Marshall at 28% compared to 24% in Milwaukee.
- The Asian population is larger in Milwaukee at 5% compared to 1% in Marshall.
- The Hispanic community is larger in Milwaukee at 21% compared to 20% in Marshall.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 10% in Milwaukee.
- A greater percentage of American Indian residents live in Milwaukee at 1% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milwaukee | Marshall |
|---|---|---|
| Mental Health Not Good | 17.5% | 19.2% |
| Physical Health Not Good | 12.7% | 13.8% |
| Depression | 22.9% | 22.7% |
| Smoking | 21.0% | 21.0% |
| Binge Drinking | 21.3% | 16.2% |
| Obesity | 41.6% | 42.0% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Milwaukee vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 17.5% in Milwaukee.
- Depression is more prevalent in Milwaukee at 22.9% compared to 22.7% in Marshall.
- Smoking rates are the same in both Milwaukee and Marshall at 21.0%.
- Binge drinking is more common in Milwaukee at 21.3% compared to 16.2% in Marshall.
- Marshall has higher obesity rates at 42.0% compared to 41.6% in Milwaukee.
- There is a higher percentage of disabled individuals in Marshall at 17.0% 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 | Milwaukee | Marshall |
|---|---|---|
| No Schooling | 1.3% (7,509) | 0.8% (195) |
| High School Diploma | 16.7% (93,798) | 18.7% (4,412) |
| Less than High School | 14.4% (81,002) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 16.6% (93,378) | 13.2% (3,127) |
Education Levels Comparison: Milwaukee vs Marshall
- A higher percentage of residents in Milwaukee have no formal schooling at 1.3% compared to 0.8% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 18.7% compared to 16.7% in Milwaukee.
- More residents in Milwaukee have less than a high school education at 14.4% compared to 10.7% in Marshall.
- A higher percentage of residents in Milwaukee hold a bachelor's degree or higher at 16.6% compared to 13.2% in Marshall.
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.