Demographics details for Gilbert, AZ vs Kendallville, IN

Population Overview

Compare main population characteristics in Gilbert, AZ vs Kendallville, IN.

Data Gilbert Kendallville
Population 275,346 10,222
Median Age 35.4 years 41.9 years
Median Income $115,179 $59,971
Married Families 42.0% 36.0%
Poverty Level 6% 11%
Unemployment Rate 3.0 3.5

Population Comparison: Gilbert vs Kendallville

  • In Gilbert, the population is higher at 275,346, compared to 10,222 in Kendallville.
  • The median age in Kendallville is higher at 41.9 years, compared to 35.4 years in Gilbert.
  • Gilbert has a higher median income of $115,179 compared to $59,971 in Kendallville.
  • A higher percentage of married families is found in Gilbert at 42.0% compared to 36.0% in Kendallville.
  • The poverty level is higher in Kendallville at 11%, compared to 6% in Gilbert.
  • Kendallville has a higher unemployment rate at 3.5% compared to 3.0% in Gilbert.

Demographics

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

Demographic Gilbert Kendallville
Black 4 Data is updating
White 62 87
Asian 6 2
Hispanic 17 6
Two or More Races 10 5
American Indian 1 Data is updating

Demographics Comparison: Gilbert vs Kendallville

  • A higher percentage of Black residents are in Gilbert at 4% compared to 0% in Kendallville.
  • The percentage of White residents is higher in Kendallville at 87% compared to 62% in Gilbert.
  • The Asian population is larger in Gilbert at 6% compared to 2% in Kendallville.
  • The Hispanic community is larger in Gilbert at 17% compared to 6% in Kendallville.
  • More residents identify as two or more races in Gilbert at 10% compared to 5% in Kendallville.
  • A greater percentage of American Indian residents live in Gilbert at 1% compared to 0% in Kendallville.

Health Statistics

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

Health Metric Gilbert Kendallville
Mental Health Not Good 15.2% 18.1%
Physical Health Not Good 8.4% 12.2%
Depression 19.0% 28.1%
Smoking 11.3% 21.5%
Binge Drinking 19.1% 16.9%
Obesity 27.2% 40.8%
Disability Percentage 7.0% 17.0%

Health Statistics Comparison: Gilbert vs Kendallville

  • In Kendallville, a higher percentage report poor mental health at 18.1% compared to 15.2% in Gilbert.
  • Higher depression rates are seen in Kendallville at 28.1% versus 19.0% in Gilbert.
  • Kendallville has a higher smoking rate at 21.5% compared to 11.3% in Gilbert.
  • Binge drinking is more common in Gilbert at 19.1% compared to 16.9% in Kendallville.
  • Kendallville has higher obesity rates at 40.8% compared to 27.2% in Gilbert.
  • There is a higher percentage of disabled individuals in Kendallville at 17.0% compared to 7.0% in Gilbert.

Education Levels

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

Education Level Gilbert Kendallville
No Schooling 0.5% (1,279) 2.4% (249)
High School Diploma 8.1% (22,388) 20.1% (2,055)
Less than High School 4.0% (10,945) 21.8% (2,225)
Bachelor's Degree and Higher 28.4% (78,297) 7.7% (790)

Education Levels Comparison: Gilbert vs Kendallville

  • In Kendallville, a larger percentage of residents lack formal schooling at 2.4% compared to 0.5% in Gilbert.
  • In Kendallville, the rate of residents with high school diplomas is higher at 20.1% compared to 8.1% in Gilbert.
  • The percentage of residents with less than a high school education is higher in Kendallville at 21.8%, compared to 4.0% in Gilbert.
  • A higher percentage of residents in Gilbert hold a bachelor's degree or higher at 28.4% 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.