Demographics details for Milwaukee, WI vs Fall branch, TN
Population Overview
Compare main population characteristics in Milwaukee, WI vs Fall branch, TN.
Data | Milwaukee | Fall branch |
---|---|---|
Population | 563,305 | 984 |
Median Age | 31.8 years | 48.9 years |
Median Income | $49,733 | $41,884 |
Married Families | 23.0% | 54.0% |
Poverty Level | 18% | 11% |
Unemployment Rate | 4.8 | 3.5 |
Population Comparison: Milwaukee vs Fall branch
- In Milwaukee, the population is higher at 563,305, compared to 984 in Fall branch.
- The median age in Fall branch is higher at 48.9 years, compared to 31.8 years in Milwaukee.
- Milwaukee has a higher median income of $49,733 compared to $41,884 in Fall branch.
- In Fall branch, the percentage of married families is higher at 54.0%, compared to 23.0% in Milwaukee.
- Milwaukee has a higher poverty level at 18% compared to 11% in Fall branch.
- The unemployment rate in Milwaukee is higher at 4.8%, compared to 3.5% in Fall branch.
Demographics
Demographics Milwaukee vs Fall branch provide insight into the diversity of the communities to compare.
Demographic | Milwaukee | Fall branch |
---|---|---|
Black | 39 | Data is updating |
White | 24 | 100 |
Asian | 5 | Data is updating |
Hispanic | 21 | Data is updating |
Two or More Races | 10 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Milwaukee vs Fall branch
- A higher percentage of Black residents are in Milwaukee at 39% compared to 0% in Fall branch.
- The percentage of White residents is higher in Fall branch at 100% compared to 24% in Milwaukee.
- The Asian population is larger in Milwaukee at 5% compared to 0% in Fall branch.
- The Hispanic community is larger in Milwaukee at 21% compared to 0% in Fall branch.
- More residents identify as two or more races in Milwaukee at 10% compared to 0% in Fall branch.
- A greater percentage of American Indian residents live in Milwaukee at 1% compared to 0% in Fall branch.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milwaukee | Fall branch |
---|---|---|
Mental Health Not Good | 17.5% | 17.9% |
Physical Health Not Good | 12.7% | 11.7% |
Depression | 22.9% | 28.3% |
Smoking | 21.0% | 19.7% |
Binge Drinking | 21.3% | 16.7% |
Obesity | 41.6% | 28.9% |
Disability Percentage | 13.0% | 23.0% |
Health Statistics Comparison: Milwaukee vs Fall branch
- In Fall branch, a higher percentage report poor mental health at 17.9% compared to 17.5% in Milwaukee.
- Higher depression rates are seen in Fall branch at 28.3% versus 22.9% in Milwaukee.
- Smoking is more prevalent in Milwaukee at 21.0% compared to 19.7% in Fall branch.
- Binge drinking is more common in Milwaukee at 21.3% compared to 16.7% in Fall branch.
- Obesity rates are higher in Milwaukee at 41.6% compared to 28.9% in Fall branch.
- There is a higher percentage of disabled individuals in Fall branch at 23.0% 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 | Fall branch |
---|---|---|
No Schooling | 1.3% (7,509) | 1.7% (17) |
High School Diploma | 16.7% (93,798) | 24.5% (241) |
Less than High School | 14.4% (81,002) | 19.7% (194) |
Bachelor's Degree and Higher | 16.6% (93,378) | 14.4% (142) |
Education Levels Comparison: Milwaukee vs Fall branch
- In Fall branch, a larger percentage of residents lack formal schooling at 1.7% compared to 1.3% in Milwaukee.
- In Fall branch, the rate of residents with high school diplomas is higher at 24.5% compared to 16.7% in Milwaukee.
- The percentage of residents with less than a high school education is higher in Fall branch at 19.7%, compared to 14.4% in Milwaukee.
- A higher percentage of residents in Milwaukee hold a bachelor's degree or higher at 16.6% compared to 14.4% in Fall branch.
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.