Demographics details for Jersey city, NJ vs Kendallville, IN

Population Overview

Compare main population characteristics in Jersey city, NJ vs Kendallville, IN.

Data Jersey city Kendallville
Population 286,670 10,222
Median Age 34.6 years 41.9 years
Median Income $91,151 $59,971
Married Families 36.0% 36.0%
Poverty Level 14% 11%
Unemployment Rate 5.2 3.5

Population Comparison: Jersey city vs Kendallville

  • In Jersey city, the population is higher at 286,670, compared to 10,222 in Kendallville.
  • The median age in Kendallville is higher at 41.9 years, compared to 34.6 years in Jersey city.
  • Jersey city has a higher median income of $91,151 compared to $59,971 in Kendallville.
  • The percentage of married families is the same in both Jersey city and Kendallville at 36.0%.
  • Jersey city has a higher poverty level at 14% compared to 11% in Kendallville.
  • The unemployment rate in Jersey city is higher at 5.2%, compared to 3.5% in Kendallville.

Demographics

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

Demographic Jersey city Kendallville
Black 22 Data is updating
White 12 87
Asian 26 2
Hispanic 27 6
Two or More Races 12 5
American Indian 1 Data is updating

Demographics Comparison: Jersey city vs Kendallville

  • A higher percentage of Black residents are in Jersey city at 22% compared to 0% in Kendallville.
  • The percentage of White residents is higher in Kendallville at 87% compared to 12% in Jersey city.
  • The Asian population is larger in Jersey city at 26% compared to 2% in Kendallville.
  • The Hispanic community is larger in Jersey city at 27% compared to 6% in Kendallville.
  • More residents identify as two or more races in Jersey city at 12% compared to 5% in Kendallville.
  • A greater percentage of American Indian residents live in Jersey city at 1% compared to 0% in Kendallville.

Health Statistics

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

Health Metric Jersey city Kendallville
Mental Health Not Good 13.8% 18.1%
Physical Health Not Good 10.7% 12.2%
Depression 16.2% 28.1%
Smoking 13.0% 21.5%
Binge Drinking 14.1% 16.9%
Obesity 25.3% 40.8%
Disability Percentage 8.0% 17.0%

Health Statistics Comparison: Jersey city vs Kendallville

  • In Kendallville, a higher percentage report poor mental health at 18.1% compared to 13.8% in Jersey city.
  • Higher depression rates are seen in Kendallville at 28.1% versus 16.2% in Jersey city.
  • Kendallville has a higher smoking rate at 21.5% compared to 13.0% in Jersey city.
  • More residents engage in binge drinking in Kendallville at 16.9% compared to 14.1% in Jersey city.
  • Kendallville has higher obesity rates at 40.8% compared to 25.3% in Jersey city.
  • There is a higher percentage of disabled individuals in Kendallville at 17.0% compared to 8.0% in Jersey city.

Education Levels

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

Education Level Jersey city Kendallville
No Schooling 1.6% (4,607) 2.4% (249)
High School Diploma 14.1% (40,524) 20.1% (2,055)
Less than High School 11.7% (33,584) 21.8% (2,225)
Bachelor's Degree and Higher 37.5% (107,636) 7.7% (790)

Education Levels Comparison: Jersey city vs Kendallville

  • In Kendallville, a larger percentage of residents lack formal schooling at 2.4% compared to 1.6% in Jersey city.
  • In Kendallville, the rate of residents with high school diplomas is higher at 20.1% compared to 14.1% in Jersey city.
  • The percentage of residents with less than a high school education is higher in Kendallville at 21.8%, compared to 11.7% in Jersey city.
  • A higher percentage of residents in Jersey city hold a bachelor's degree or higher at 37.5% 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.