Demographics details for Menomonee falls, WI vs Custer, MT

Population Overview

Compare main population characteristics in Menomonee falls, WI vs Custer, MT.

Data Menomonee falls Custer
Population 39,246 12,032
Median Age 41.9 years 42.8 years
Median Income $96,986 $61,114
Married Families 46.0% 44.0%
Poverty Level 5% 10%
Unemployment Rate 2.8 2.9

Population Comparison: Menomonee falls vs Custer

  • In Menomonee falls, the population is higher at 39,246, compared to 12,032 in Custer.
  • The median age in Custer is higher at 42.8 years, compared to 41.9 years in Menomonee falls.
  • Menomonee falls has a higher median income of $96,986 compared to $61,114 in Custer.
  • A higher percentage of married families is found in Menomonee falls at 46.0% compared to 44.0% in Custer.
  • The poverty level is higher in Custer at 10%, compared to 5% in Menomonee falls.
  • Custer has a higher unemployment rate at 2.9% compared to 2.8% in Menomonee falls.

Demographics

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

Demographic Menomonee falls Custer
Black 4 Data is updating
White 82 89
Asian 5 Data is updating
Hispanic 5 4
Two or More Races 4 6
American Indian Data is updating 1

Demographics Comparison: Menomonee falls vs Custer

  • A higher percentage of Black residents are in Menomonee falls at 4% compared to 0% in Custer.
  • The percentage of White residents is higher in Custer at 89% compared to 82% in Menomonee falls.
  • The Asian population is larger in Menomonee falls at 5% compared to 0% in Custer.
  • The Hispanic community is larger in Menomonee falls at 5% compared to 4% in Custer.
  • The percentage of residents identifying as two or more races is higher in Custer at 6%, compared to 4% in Menomonee falls.
  • In Custer, the percentage of American Indian residents is higher at 1%, compared to 0% in Menomonee falls.

Health Statistics

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

Health Metric Menomonee falls Custer
Mental Health Not Good 12.7% 15.9%
Physical Health Not Good 7.7% 10.6%
Depression 20.0% 23.9%
Smoking 11.6% 16.4%
Binge Drinking 25.0% 22.8%
Obesity 33.4% 34.3%
Disability Percentage 10.0% 20.0%

Health Statistics Comparison: Menomonee falls vs Custer

  • In Custer, a higher percentage report poor mental health at 15.9% compared to 12.7% in Menomonee falls.
  • Higher depression rates are seen in Custer at 23.9% versus 20.0% in Menomonee falls.
  • Custer has a higher smoking rate at 16.4% compared to 11.6% in Menomonee falls.
  • Binge drinking is more common in Menomonee falls at 25.0% compared to 22.8% in Custer.
  • Custer has higher obesity rates at 34.3% compared to 33.4% in Menomonee falls.
  • There is a higher percentage of disabled individuals in Custer at 20.0% 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 Custer
No Schooling 0.3% (117) 0.6% (67)
High School Diploma 14.9% (5,834) 19.3% (2,322)
Less than High School 4.9% (1,936) 7.3% (873)
Bachelor's Degree and Higher 33.4% (13,122) 19.0% (2,285)

Education Levels Comparison: Menomonee falls vs Custer

  • In Custer, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Menomonee falls.
  • In Custer, the rate of residents with high school diplomas is higher at 19.3% compared to 14.9% in Menomonee falls.
  • The percentage of residents with less than a high school education is higher in Custer at 7.3%, 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 19.0% in Custer.

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.