Demographics details for Menomonee falls, WI vs Whitehall, PA

Population Overview

Compare main population characteristics in Menomonee falls, WI vs Whitehall, PA.

Data Menomonee falls Whitehall
Population 39,246 14,785
Median Age 41.9 years 44.8 years
Median Income $96,986 $77,752
Married Families 46.0% 45.0%
Poverty Level 5% 8%
Unemployment Rate 2.8 4.5

Population Comparison: Menomonee falls vs Whitehall

  • In Menomonee falls, the population is higher at 39,246, compared to 14,785 in Whitehall.
  • The median age in Whitehall is higher at 44.8 years, compared to 41.9 years in Menomonee falls.
  • Menomonee falls has a higher median income of $96,986 compared to $77,752 in Whitehall.
  • A higher percentage of married families is found in Menomonee falls at 46.0% compared to 45.0% in Whitehall.
  • The poverty level is higher in Whitehall at 8%, compared to 5% in Menomonee falls.
  • Whitehall has a higher unemployment rate at 4.5% compared to 2.8% in Menomonee falls.

Demographics

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

Demographic Menomonee falls Whitehall
Black 4 4
White 82 78
Asian 5 14
Hispanic 5 1
Two or More Races 4 3
American Indian Data is updating Data is updating

Demographics Comparison: Menomonee falls vs Whitehall

  • The percentage of Black residents is the same in both Menomonee falls and Whitehall at 4%.
  • Menomonee falls has a higher percentage of White residents at 82% compared to 78% in Whitehall.
  • In Whitehall, the Asian population stands at 14%, greater than 5% in Menomonee falls.
  • The Hispanic community is larger in Menomonee falls at 5% compared to 1% in Whitehall.
  • More residents identify as two or more races in Menomonee falls at 4% compared to 3% in Whitehall.
  • The percentage of American Indian residents is the same in both Menomonee falls and Whitehall at 0%.

Health Statistics

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

Health Metric Menomonee falls Whitehall
Mental Health Not Good 12.7% 15.5%
Physical Health Not Good 7.7% 10.3%
Depression 20.0% 22.0%
Smoking 11.6% 17.0%
Binge Drinking 25.0% 21.4%
Obesity 33.4% 30.9%
Disability Percentage 10.0% 15.0%

Health Statistics Comparison: Menomonee falls vs Whitehall

  • In Whitehall, a higher percentage report poor mental health at 15.5% compared to 12.7% in Menomonee falls.
  • Higher depression rates are seen in Whitehall at 22.0% versus 20.0% in Menomonee falls.
  • Whitehall has a higher smoking rate at 17.0% compared to 11.6% in Menomonee falls.
  • Binge drinking is more common in Menomonee falls at 25.0% compared to 21.4% in Whitehall.
  • Obesity rates are higher in Menomonee falls at 33.4% compared to 30.9% in Whitehall.
  • There is a higher percentage of disabled individuals in Whitehall at 15.0% 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 Whitehall
No Schooling 0.3% (117) 2.0% (302)
High School Diploma 14.9% (5,834) 18.2% (2,688)
Less than High School 4.9% (1,936) 7.7% (1,141)
Bachelor's Degree and Higher 33.4% (13,122) 31.1% (4,603)

Education Levels Comparison: Menomonee falls vs Whitehall

  • In Whitehall, a larger percentage of residents lack formal schooling at 2.0% compared to 0.3% in Menomonee falls.
  • In Whitehall, the rate of residents with high school diplomas is higher at 18.2% compared to 14.9% in Menomonee falls.
  • The percentage of residents with less than a high school education is higher in Whitehall at 7.7%, 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 31.1% in Whitehall.

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.