Demographics details for Milwaukee, WI vs Sutherland, VA
Population Overview
Compare main population characteristics in Milwaukee, WI vs Sutherland, VA.
| Data | Milwaukee | Sutherland |
|---|---|---|
| Population | 563,305 | 2,000 |
| Median Age | 31.8 years | 45.0 years |
| Median Income | $49,733 | $60,000 |
| Married Families | 23.0% | 60.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 4.8 | 5.0 |
Population Comparison: Milwaukee vs Sutherland
- In Milwaukee, the population is higher at 563,305, compared to 2,000 in Sutherland.
- The median age in Sutherland is higher at 45.0 years, compared to 31.8 years in Milwaukee.
- Sutherland has a higher median income of $60,000, compared to $49,733 in Milwaukee.
- In Sutherland, the percentage of married families is higher at 60.0%, compared to 23.0% in Milwaukee.
- Milwaukee has a higher poverty level at 18% compared to 10% in Sutherland.
- Sutherland has a higher unemployment rate at 5.0% compared to 4.8% in Milwaukee.
Demographics
Demographics Milwaukee vs Sutherland provide insight into the diversity of the communities to compare.
| Demographic | Milwaukee | Sutherland |
|---|---|---|
| Black | 39 | 10 |
| White | 24 | 80 |
| Asian | 5 | 5 |
| Hispanic | 21 | 5 |
| Two or More Races | 10 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Milwaukee vs Sutherland
- A higher percentage of Black residents are in Milwaukee at 39% compared to 10% in Sutherland.
- The percentage of White residents is higher in Sutherland at 80% compared to 24% in Milwaukee.
- Both Milwaukee and Sutherland have the same percentage of Asian residents at 5%.
- The Hispanic community is larger in Milwaukee at 21% compared to 5% in Sutherland.
- More residents identify as two or more races in Milwaukee at 10% compared to 0% in Sutherland.
- A greater percentage of American Indian residents live in Milwaukee at 1% compared to 0% in Sutherland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milwaukee | Sutherland |
|---|---|---|
| Mental Health Not Good | 17.5% | Data is updating% |
| Physical Health Not Good | 12.7% | Data is updating% |
| Depression | 22.9% | Data is updating% |
| Smoking | 21.0% | Data is updating% |
| Binge Drinking | 21.3% | Data is updating% |
| Obesity | 41.6% | Data is updating% |
| Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Milwaukee vs Sutherland
- More residents in Milwaukee report poor mental health at 17.5% compared to 0.0% in Sutherland.
- Depression is more prevalent in Milwaukee at 22.9% compared to 0.0% in Sutherland.
- Smoking is more prevalent in Milwaukee at 21.0% compared to 0.0% in Sutherland.
- Binge drinking is more common in Milwaukee at 21.3% compared to 0.0% in Sutherland.
- Obesity rates are higher in Milwaukee at 41.6% compared to 0.0% in Sutherland.
- Disability percentages are higher in Milwaukee at 13.0% compared to 0.0% in Sutherland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milwaukee | Sutherland |
|---|---|---|
| No Schooling | 1.3% (7,509) | 0.0% (Data is updating) |
| High School Diploma | 16.7% (93,798) | 0.0% (Data is updating) |
| Less than High School | 14.4% (81,002) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 16.6% (93,378) | 0.0% (Data is updating) |
Education Levels Comparison: Milwaukee vs Sutherland
- A higher percentage of residents in Milwaukee have no formal schooling at 1.3% compared to 0.0% in Sutherland.
- A higher percentage of residents in Milwaukee hold a high school diploma at 16.7% compared to 0.0% in Sutherland.
- More residents in Milwaukee have less than a high school education at 14.4% compared to 0.0% in Sutherland.
- A higher percentage of residents in Milwaukee hold a bachelor's degree or higher at 16.6% compared to 0.0% in Sutherland.
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.