Demographics details for Kendallville, IN vs Mukwonago, WI

Population Overview

Compare main population characteristics in Kendallville, IN vs Mukwonago, WI.

Data Kendallville Mukwonago
Population 10,222 8,446
Median Age 41.9 years 39.7 years
Median Income $59,971 $91,827
Married Families 36.0% 44.0%
Poverty Level 11% 5%
Unemployment Rate 3.5 3.4

Population Comparison: Kendallville vs Mukwonago

  • In Kendallville, the population is higher at 10,222, compared to 8,446 in Mukwonago.
  • Residents in Kendallville have a higher median age of 41.9 years compared to 39.7 years in Mukwonago.
  • Mukwonago has a higher median income of $91,827, compared to $59,971 in Kendallville.
  • In Mukwonago, the percentage of married families is higher at 44.0%, compared to 36.0% in Kendallville.
  • Kendallville has a higher poverty level at 11% compared to 5% in Mukwonago.
  • The unemployment rate in Kendallville is higher at 3.5%, compared to 3.4% in Mukwonago.

Demographics

Demographics Kendallville vs Mukwonago provide insight into the diversity of the communities to compare.

Demographic Kendallville Mukwonago
Black Data is updating Data is updating
White 87 82
Asian 2 4
Hispanic 6 7
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Kendallville vs Mukwonago

  • The percentage of Black residents is the same in both Kendallville and Mukwonago at 0%.
  • Kendallville has a higher percentage of White residents at 87% compared to 82% in Mukwonago.
  • In Mukwonago, the Asian population stands at 4%, greater than 2% in Kendallville.
  • Mukwonago has a higher percentage of Hispanic residents at 7%, compared to 6% in Kendallville.
  • The percentage of residents identifying as two or more races is higher in Mukwonago at 7%, compared to 5% in Kendallville.
  • The percentage of American Indian residents is the same in both Kendallville and Mukwonago at 0%.

Health Statistics

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

Health Metric Kendallville Mukwonago
Mental Health Not Good 18.1% 13.8%
Physical Health Not Good 12.2% 8.6%
Depression 28.1% 21.2%
Smoking 21.5% 13.8%
Binge Drinking 16.9% 25.2%
Obesity 40.8% 35.3%
Disability Percentage 17.0% 10.0%

Health Statistics Comparison: Kendallville vs Mukwonago

  • More residents in Kendallville report poor mental health at 18.1% compared to 13.8% in Mukwonago.
  • Depression is more prevalent in Kendallville at 28.1% compared to 21.2% in Mukwonago.
  • Smoking is more prevalent in Kendallville at 21.5% compared to 13.8% in Mukwonago.
  • More residents engage in binge drinking in Mukwonago at 25.2% compared to 16.9% in Kendallville.
  • Obesity rates are higher in Kendallville at 40.8% compared to 35.3% in Mukwonago.
  • Disability percentages are higher in Kendallville at 17.0% compared to 10.0% in Mukwonago.

Education Levels

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

Education Level Kendallville Mukwonago
No Schooling 2.4% (249) 0.6% (48)
High School Diploma 20.1% (2,055) 17.0% (1,435)
Less than High School 21.8% (2,225) 4.7% (394)
Bachelor's Degree and Higher 7.7% (790) 25.3% (2,138)

Education Levels Comparison: Kendallville vs Mukwonago

  • A higher percentage of residents in Kendallville have no formal schooling at 2.4% compared to 0.6% in Mukwonago.
  • A higher percentage of residents in Kendallville hold a high school diploma at 20.1% compared to 17.0% in Mukwonago.
  • More residents in Kendallville have less than a high school education at 21.8% compared to 4.7% in Mukwonago.
  • In Mukwonago, a larger share of residents have a bachelor's degree or higher at 25.3% compared to 7.7% in Kendallville.

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.