Demographics details for Means, KY vs Kendallville, IN

Population Overview

Compare main population characteristics in Means, KY vs Kendallville, IN.

Data Means Kendallville
Population 686 10,222
Median Age 38.0 years 41.9 years
Median Income $50,000 $59,971
Married Families 45.0% 36.0%
Poverty Level 12% 11%
Unemployment Rate 5.0 3.5

Population Comparison: Means vs Kendallville

  • The population in Kendallville is higher at 10,222, compared to 686 in Means.
  • The median age in Kendallville is higher at 41.9 years, compared to 38.0 years in Means.
  • Kendallville has a higher median income of $59,971, compared to $50,000 in Means.
  • A higher percentage of married families is found in Means at 45.0% compared to 36.0% in Kendallville.
  • Means has a higher poverty level at 12% compared to 11% in Kendallville.
  • The unemployment rate in Means is higher at 5.0%, compared to 3.5% in Kendallville.

Demographics

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

Demographic Means Kendallville
Black 5 Data is updating
White 90 87
Asian Data is updating 2
Hispanic 5 6
Two or More Races Data is updating 5
American Indian Data is updating Data is updating

Demographics Comparison: Means vs Kendallville

  • A higher percentage of Black residents are in Means at 5% compared to 0% in Kendallville.
  • Means has a higher percentage of White residents at 90% compared to 87% in Kendallville.
  • In Kendallville, the Asian population stands at 2%, greater than 0% in Means.
  • Kendallville has a higher percentage of Hispanic residents at 6%, compared to 5% in Means.
  • The percentage of residents identifying as two or more races is higher in Kendallville at 5%, compared to 0% in Means.
  • The percentage of American Indian residents is the same in both Means and Kendallville at 0%.

Health Statistics

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

Health Metric Means Kendallville
Mental Health Not Good Data is updating% 18.1%
Physical Health Not Good Data is updating% 12.2%
Depression Data is updating% 28.1%
Smoking Data is updating% 21.5%
Binge Drinking Data is updating% 16.9%
Obesity Data is updating% 40.8%
Disability Percentage Data is updating% 17.0%

Health Statistics Comparison: Means vs Kendallville

  • In Kendallville, a higher percentage report poor mental health at 18.1% compared to 0.0% in Means.
  • Higher depression rates are seen in Kendallville at 28.1% versus 0.0% in Means.
  • Kendallville has a higher smoking rate at 21.5% compared to 0.0% in Means.
  • More residents engage in binge drinking in Kendallville at 16.9% compared to 0.0% in Means.
  • Kendallville has higher obesity rates at 40.8% compared to 0.0% in Means.
  • There is a higher percentage of disabled individuals in Kendallville at 17.0% compared to 0.0% in Means.

Education Levels

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

Education Level Means Kendallville
No Schooling 0.0% (Data is updating) 2.4% (249)
High School Diploma 0.0% (Data is updating) 20.1% (2,055)
Less than High School 0.0% (Data is updating) 21.8% (2,225)
Bachelor's Degree and Higher 0.0% (Data is updating) 7.7% (790)

Education Levels Comparison: Means vs Kendallville

  • In Kendallville, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Means.
  • In Kendallville, the rate of residents with high school diplomas is higher at 20.1% compared to 0.0% in Means.
  • The percentage of residents with less than a high school education is higher in Kendallville at 21.8%, compared to 0.0% in Means.
  • In Kendallville, a larger share of residents have a bachelor's degree or higher at 7.7% compared to 0.0% in Means.

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.