Demographics details for Kendallville, IN vs Beaver dam, WI

Population Overview

Compare main population characteristics in Kendallville, IN vs Beaver dam, WI.

Data Kendallville Beaver dam
Population 10,222 16,582
Median Age 41.9 years 40.4 years
Median Income $59,971 $65,802
Married Families 36.0% 35.0%
Poverty Level 11% Data is updating
Unemployment Rate 3.5 3.1

Population Comparison: Kendallville vs Beaver dam

  • The population in Beaver dam is higher at 16,582, compared to 10,222 in Kendallville.
  • Residents in Kendallville have a higher median age of 41.9 years compared to 40.4 years in Beaver dam.
  • Beaver dam has a higher median income of $65,802, compared to $59,971 in Kendallville.
  • A higher percentage of married families is found in Kendallville at 36.0% compared to 35.0% in Beaver dam.
  • Kendallville has a higher poverty level at 11% compared to 0% in Beaver dam.
  • The unemployment rate in Kendallville is higher at 3.5%, compared to 3.1% in Beaver dam.

Demographics

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

Demographic Kendallville Beaver dam
Black Data is updating 3
White 87 81
Asian 2 2
Hispanic 6 8
Two or More Races 5 6
American Indian Data is updating Data is updating

Demographics Comparison: Kendallville vs Beaver dam

  • In Beaver dam, the percentage of Black residents is higher at 3% compared to 0% in Kendallville.
  • Kendallville has a higher percentage of White residents at 87% compared to 81% in Beaver dam.
  • Both Kendallville and Beaver dam have the same percentage of Asian residents at 2%.
  • Beaver dam has a higher percentage of Hispanic residents at 8%, compared to 6% in Kendallville.
  • The percentage of residents identifying as two or more races is higher in Beaver dam at 6%, compared to 5% in Kendallville.
  • The percentage of American Indian residents is the same in both Kendallville and Beaver dam at 0%.

Health Statistics

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

Health Metric Kendallville Beaver dam
Mental Health Not Good 18.1% 15.7%
Physical Health Not Good 12.2% 10.6%
Depression 28.1% 23.6%
Smoking 21.5% 17.6%
Binge Drinking 16.9% 23.5%
Obesity 40.8% 36.6%
Disability Percentage 17.0% 11.0%

Health Statistics Comparison: Kendallville vs Beaver dam

  • More residents in Kendallville report poor mental health at 18.1% compared to 15.7% in Beaver dam.
  • Depression is more prevalent in Kendallville at 28.1% compared to 23.6% in Beaver dam.
  • Smoking is more prevalent in Kendallville at 21.5% compared to 17.6% in Beaver dam.
  • More residents engage in binge drinking in Beaver dam at 23.5% compared to 16.9% in Kendallville.
  • Obesity rates are higher in Kendallville at 40.8% compared to 36.6% in Beaver dam.
  • Disability percentages are higher in Kendallville at 17.0% compared to 11.0% in Beaver dam.

Education Levels

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

Education Level Kendallville Beaver dam
No Schooling 2.4% (249) 0.3% (47)
High School Diploma 20.1% (2,055) 23.8% (3,947)
Less than High School 21.8% (2,225) 10.3% (1,706)
Bachelor's Degree and Higher 7.7% (790) 18.2% (3,023)

Education Levels Comparison: Kendallville vs Beaver dam

  • A higher percentage of residents in Kendallville have no formal schooling at 2.4% compared to 0.3% in Beaver dam.
  • In Beaver dam, the rate of residents with high school diplomas is higher at 23.8% compared to 20.1% in Kendallville.
  • More residents in Kendallville have less than a high school education at 21.8% compared to 10.3% in Beaver dam.
  • In Beaver dam, a larger share of residents have a bachelor's degree or higher at 18.2% 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.