Demographics details for Chanhassen, MN vs Whitehall, WI

Population Overview

Compare main population characteristics in Chanhassen, MN vs Whitehall, WI.

Data Chanhassen Whitehall
Population 26,224 1,632
Median Age 40.6 years 36.8 years
Median Income $131,633 $56,894
Married Families 47.0% 30.0%
Poverty Level 4% 7%
Unemployment Rate 3.4 3.6

Population Comparison: Chanhassen vs Whitehall

  • In Chanhassen, the population is higher at 26,224, compared to 1,632 in Whitehall.
  • Residents in Chanhassen have a higher median age of 40.6 years compared to 36.8 years in Whitehall.
  • Chanhassen has a higher median income of $131,633 compared to $56,894 in Whitehall.
  • A higher percentage of married families is found in Chanhassen at 47.0% compared to 30.0% in Whitehall.
  • The poverty level is higher in Whitehall at 7%, compared to 4% in Chanhassen.
  • Whitehall has a higher unemployment rate at 3.6% compared to 3.4% in Chanhassen.

Demographics

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

Demographic Chanhassen Whitehall
Black 1 1
White 84 83
Asian 7 Data is updating
Hispanic 3 12
Two or More Races 5 3
American Indian Data is updating 1

Demographics Comparison: Chanhassen vs Whitehall

  • The percentage of Black residents is the same in both Chanhassen and Whitehall at 1%.
  • Chanhassen has a higher percentage of White residents at 84% compared to 83% in Whitehall.
  • The Asian population is larger in Chanhassen at 7% compared to 0% in Whitehall.
  • Whitehall has a higher percentage of Hispanic residents at 12%, compared to 3% in Chanhassen.
  • More residents identify as two or more races in Chanhassen at 5% compared to 3% in Whitehall.
  • In Whitehall, the percentage of American Indian residents is higher at 1%, compared to 0% in Chanhassen.

Health Statistics

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

Health Metric Chanhassen Whitehall
Mental Health Not Good 11.8% 15.2%
Physical Health Not Good 6.4% 10.3%
Depression 19.8% 24.0%
Smoking 10.0% 16.7%
Binge Drinking 20.9% 24.4%
Obesity 29.7% 34.9%
Disability Percentage 5.0% 15.0%

Health Statistics Comparison: Chanhassen vs Whitehall

  • In Whitehall, a higher percentage report poor mental health at 15.2% compared to 11.8% in Chanhassen.
  • Higher depression rates are seen in Whitehall at 24.0% versus 19.8% in Chanhassen.
  • Whitehall has a higher smoking rate at 16.7% compared to 10.0% in Chanhassen.
  • More residents engage in binge drinking in Whitehall at 24.4% compared to 20.9% in Chanhassen.
  • Whitehall has higher obesity rates at 34.9% compared to 29.7% in Chanhassen.
  • There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 5.0% in Chanhassen.

Education Levels

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

Education Level Chanhassen Whitehall
No Schooling 0.1% (31) 0.4% (7)
High School Diploma 5.7% (1,502) 24.4% (398)
Less than High School 1.7% (452) 15.7% (256)
Bachelor's Degree and Higher 42.7% (11,186) 8.6% (141)

Education Levels Comparison: Chanhassen vs Whitehall

  • In Whitehall, a larger percentage of residents lack formal schooling at 0.4% compared to 0.1% in Chanhassen.
  • In Whitehall, the rate of residents with high school diplomas is higher at 24.4% compared to 5.7% in Chanhassen.
  • The percentage of residents with less than a high school education is higher in Whitehall at 15.7%, compared to 1.7% in Chanhassen.
  • A higher percentage of residents in Chanhassen hold a bachelor's degree or higher at 42.7% compared to 8.6% 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.