Demographics details for Menomonee falls, WI vs White house, TN

Population Overview

Compare main population characteristics in Menomonee falls, WI vs White house, TN.

Data Menomonee falls White house
Population 39,246 14,516
Median Age 41.9 years 36.5 years
Median Income $96,986 $85,404
Married Families 46.0% 46.0%
Poverty Level 5% 7%
Unemployment Rate 2.8 3.4

Population Comparison: Menomonee falls vs White house

  • In Menomonee falls, the population is higher at 39,246, compared to 14,516 in White house.
  • Residents in Menomonee falls have a higher median age of 41.9 years compared to 36.5 years in White house.
  • Menomonee falls has a higher median income of $96,986 compared to $85,404 in White house.
  • The percentage of married families is the same in both Menomonee falls and White house at 46.0%.
  • The poverty level is higher in White house at 7%, compared to 5% in Menomonee falls.
  • White house has a higher unemployment rate at 3.4% compared to 2.8% in Menomonee falls.

Demographics

Demographics Menomonee falls vs White house provide insight into the diversity of the communities to compare.

Demographic Menomonee falls White house
Black 4 2
White 82 87
Asian 5 1
Hispanic 5 4
Two or More Races 4 6
American Indian Data is updating Data is updating

Demographics Comparison: Menomonee falls vs White house

  • A higher percentage of Black residents are in Menomonee falls at 4% compared to 2% in White house.
  • The percentage of White residents is higher in White house at 87% compared to 82% in Menomonee falls.
  • The Asian population is larger in Menomonee falls at 5% compared to 1% in White house.
  • The Hispanic community is larger in Menomonee falls at 5% compared to 4% in White house.
  • The percentage of residents identifying as two or more races is higher in White house at 6%, compared to 4% in Menomonee falls.
  • The percentage of American Indian residents is the same in both Menomonee falls and White house at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Menomonee falls White house
Mental Health Not Good 12.7% 17.5%
Physical Health Not Good 7.7% 11.0%
Depression 20.0% 27.6%
Smoking 11.6% 17.7%
Binge Drinking 25.0% 16.7%
Obesity 33.4% 32.5%
Disability Percentage 10.0% 11.0%

Health Statistics Comparison: Menomonee falls vs White house

  • In White house, a higher percentage report poor mental health at 17.5% compared to 12.7% in Menomonee falls.
  • Higher depression rates are seen in White house at 27.6% versus 20.0% in Menomonee falls.
  • White house has a higher smoking rate at 17.7% compared to 11.6% in Menomonee falls.
  • Binge drinking is more common in Menomonee falls at 25.0% compared to 16.7% in White house.
  • Obesity rates are higher in Menomonee falls at 33.4% compared to 32.5% in White house.
  • There is a higher percentage of disabled individuals in White house at 11.0% compared to 10.0% in Menomonee falls.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Menomonee falls White house
No Schooling 0.3% (117) 0.2% (30)
High School Diploma 14.9% (5,834) 18.0% (2,617)
Less than High School 4.9% (1,936) 12.4% (1,794)
Bachelor's Degree and Higher 33.4% (13,122) 15.4% (2,235)

Education Levels Comparison: Menomonee falls vs White house

  • A higher percentage of residents in Menomonee falls have no formal schooling at 0.3% compared to 0.2% in White house.
  • In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 14.9% in Menomonee falls.
  • The percentage of residents with less than a high school education is higher in White house at 12.4%, compared to 4.9% in Menomonee falls.
  • A higher percentage of residents in Menomonee falls hold a bachelor's degree or higher at 33.4% compared to 15.4% in White house.

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.