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.