Demographics details for Ormond beach, FL vs Kendallville, IN

Population Overview

Compare main population characteristics in Ormond beach, FL vs Kendallville, IN.

Data Ormond beach Kendallville
Population 44,052 10,222
Median Age 51.9 years 41.9 years
Median Income $65,238 $59,971
Married Families 42.0% 36.0%
Poverty Level 9% 11%
Unemployment Rate 3.5 3.5

Population Comparison: Ormond beach vs Kendallville

  • In Ormond beach, the population is higher at 44,052, compared to 10,222 in Kendallville.
  • Residents in Ormond beach have a higher median age of 51.9 years compared to 41.9 years in Kendallville.
  • Ormond beach has a higher median income of $65,238 compared to $59,971 in Kendallville.
  • A higher percentage of married families is found in Ormond beach at 42.0% compared to 36.0% in Kendallville.
  • The poverty level is higher in Kendallville at 11%, compared to 9% in Ormond beach.
  • The unemployment rate is the same in both Ormond beach and Kendallville at 3.5%.

Demographics

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

Demographic Ormond beach Kendallville
Black 6 Data is updating
White 80 87
Asian 3 2
Hispanic 7 6
Two or More Races 4 5
American Indian Data is updating Data is updating

Demographics Comparison: Ormond beach vs Kendallville

  • A higher percentage of Black residents are in Ormond beach at 6% compared to 0% in Kendallville.
  • The percentage of White residents is higher in Kendallville at 87% compared to 80% in Ormond beach.
  • The Asian population is larger in Ormond beach at 3% compared to 2% in Kendallville.
  • The Hispanic community is larger in Ormond beach at 7% compared to 6% in Kendallville.
  • The percentage of residents identifying as two or more races is higher in Kendallville at 5%, compared to 4% in Ormond beach.
  • The percentage of American Indian residents is the same in both Ormond beach and Kendallville at 0%.

Health Statistics

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

Health Metric Ormond beach Kendallville
Mental Health Not Good 16.1% 18.1%
Physical Health Not Good 10.1% 12.2%
Depression 21.1% 28.1%
Smoking 19.2% 21.5%
Binge Drinking 18.8% 16.9%
Obesity 30.8% 40.8%
Disability Percentage 15.0% 17.0%

Health Statistics Comparison: Ormond beach vs Kendallville

  • In Kendallville, a higher percentage report poor mental health at 18.1% compared to 16.1% in Ormond beach.
  • Higher depression rates are seen in Kendallville at 28.1% versus 21.1% in Ormond beach.
  • Kendallville has a higher smoking rate at 21.5% compared to 19.2% in Ormond beach.
  • Binge drinking is more common in Ormond beach at 18.8% compared to 16.9% in Kendallville.
  • Kendallville has higher obesity rates at 40.8% compared to 30.8% in Ormond beach.
  • There is a higher percentage of disabled individuals in Kendallville at 17.0% compared to 15.0% in Ormond beach.

Education Levels

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

Education Level Ormond beach Kendallville
No Schooling 0.4% (173) 2.4% (249)
High School Diploma 16.1% (7,098) 20.1% (2,055)
Less than High School 8.9% (3,901) 21.8% (2,225)
Bachelor's Degree and Higher 26.5% (11,653) 7.7% (790)

Education Levels Comparison: Ormond beach vs Kendallville

  • In Kendallville, a larger percentage of residents lack formal schooling at 2.4% compared to 0.4% in Ormond beach.
  • In Kendallville, the rate of residents with high school diplomas is higher at 20.1% compared to 16.1% in Ormond beach.
  • The percentage of residents with less than a high school education is higher in Kendallville at 21.8%, compared to 8.9% in Ormond beach.
  • A higher percentage of residents in Ormond beach hold a bachelor's degree or higher at 26.5% 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.