Demographics details for Green river, WY vs Kendallville, IN

Population Overview

Compare main population characteristics in Green river, WY vs Kendallville, IN.

Data Green river Kendallville
Population 11,535 10,222
Median Age 37.8 years 41.9 years
Median Income $83,497 $59,971
Married Families 47.0% 36.0%
Poverty Level 9% 11%
Unemployment Rate 4.2 3.5

Population Comparison: Green river vs Kendallville

  • In Green river, the population is higher at 11,535, compared to 10,222 in Kendallville.
  • The median age in Kendallville is higher at 41.9 years, compared to 37.8 years in Green river.
  • Green river has a higher median income of $83,497 compared to $59,971 in Kendallville.
  • A higher percentage of married families is found in Green river at 47.0% compared to 36.0% in Kendallville.
  • The poverty level is higher in Kendallville at 11%, compared to 9% in Green river.
  • The unemployment rate in Green river is higher at 4.2%, compared to 3.5% in Kendallville.

Demographics

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

Demographic Green river Kendallville
Black Data is updating Data is updating
White 74 87
Asian 1 2
Hispanic 15 6
Two or More Races 9 5
American Indian 1 Data is updating

Demographics Comparison: Green river vs Kendallville

  • The percentage of Black residents is the same in both Green river and Kendallville at 0%.
  • The percentage of White residents is higher in Kendallville at 87% compared to 74% in Green river.
  • In Kendallville, the Asian population stands at 2%, greater than 1% in Green river.
  • The Hispanic community is larger in Green river at 15% compared to 6% in Kendallville.
  • More residents identify as two or more races in Green river at 9% compared to 5% in Kendallville.
  • A greater percentage of American Indian residents live in Green river at 1% compared to 0% in Kendallville.

Health Statistics

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

Health Metric Green river Kendallville
Mental Health Not Good 16.2% 18.1%
Physical Health Not Good 10.7% 12.2%
Depression 20.5% 28.1%
Smoking 18.1% 21.5%
Binge Drinking 17.8% 16.9%
Obesity 34.1% 40.8%
Disability Percentage 15.0% 17.0%

Health Statistics Comparison: Green river vs Kendallville

  • In Kendallville, a higher percentage report poor mental health at 18.1% compared to 16.2% in Green river.
  • Higher depression rates are seen in Kendallville at 28.1% versus 20.5% in Green river.
  • Kendallville has a higher smoking rate at 21.5% compared to 18.1% in Green river.
  • Binge drinking is more common in Green river at 17.8% compared to 16.9% in Kendallville.
  • Kendallville has higher obesity rates at 40.8% compared to 34.1% in Green river.
  • There is a higher percentage of disabled individuals in Kendallville at 17.0% compared to 15.0% in Green river.

Education Levels

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

Education Level Green river Kendallville
No Schooling 0.8% (90) 2.4% (249)
High School Diploma 14.9% (1,713) 20.1% (2,055)
Less than High School 6.6% (762) 21.8% (2,225)
Bachelor's Degree and Higher 14.9% (1,718) 7.7% (790)

Education Levels Comparison: Green river vs Kendallville

  • In Kendallville, a larger percentage of residents lack formal schooling at 2.4% compared to 0.8% in Green river.
  • In Kendallville, the rate of residents with high school diplomas is higher at 20.1% compared to 14.9% in Green river.
  • The percentage of residents with less than a high school education is higher in Kendallville at 21.8%, compared to 6.6% in Green river.
  • A higher percentage of residents in Green river hold a bachelor's degree or higher at 14.9% 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.