Demographics details for Owingsville, KY vs Blue island, IL

Population Overview

Compare main population characteristics in Owingsville, KY vs Blue island, IL.

Data Owingsville Blue island
Population 1,587 23,706
Median Age 38.1 years 33.0 years
Median Income $38,255 $63,000
Married Families 41.0% 38.0%
Poverty Level 15% 17%
Unemployment Rate 5.0 5.3

Population Comparison: Owingsville vs Blue island

  • The population in Blue island is higher at 23,706, compared to 1,587 in Owingsville.
  • Residents in Owingsville have a higher median age of 38.1 years compared to 33.0 years in Blue island.
  • Blue island has a higher median income of $63,000, compared to $38,255 in Owingsville.
  • A higher percentage of married families is found in Owingsville at 41.0% compared to 38.0% in Blue island.
  • The poverty level is higher in Blue island at 17%, compared to 15% in Owingsville.
  • Blue island has a higher unemployment rate at 5.3% compared to 5.0% in Owingsville.

Demographics

Demographics Owingsville vs Blue island provide insight into the diversity of the communities to compare.

Demographic Owingsville Blue island
Black 4 60
White 91 20
Asian Data is updating 10
Hispanic 2 10
Two or More Races 3 5
American Indian Data is updating Data is updating

Demographics Comparison: Owingsville vs Blue island

  • In Blue island, the percentage of Black residents is higher at 60% compared to 4% in Owingsville.
  • Owingsville has a higher percentage of White residents at 91% compared to 20% in Blue island.
  • In Blue island, the Asian population stands at 10%, greater than 0% in Owingsville.
  • Blue island has a higher percentage of Hispanic residents at 10%, compared to 2% in Owingsville.
  • The percentage of residents identifying as two or more races is higher in Blue island at 5%, compared to 3% in Owingsville.
  • The percentage of American Indian residents is the same in both Owingsville and Blue island at 0%.

Health Statistics

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

Health Metric Owingsville Blue island
Mental Health Not Good 20.1% Data is updating%
Physical Health Not Good 14.7% Data is updating%
Depression 29.1% Data is updating%
Smoking 24.0% Data is updating%
Binge Drinking 15.4% Data is updating%
Obesity 37.5% Data is updating%
Disability Percentage 39.0% Data is updating%

Health Statistics Comparison: Owingsville vs Blue island

  • More residents in Owingsville report poor mental health at 20.1% compared to 0.0% in Blue island.
  • Depression is more prevalent in Owingsville at 29.1% compared to 0.0% in Blue island.
  • Smoking is more prevalent in Owingsville at 24.0% compared to 0.0% in Blue island.
  • Binge drinking is more common in Owingsville at 15.4% compared to 0.0% in Blue island.
  • Obesity rates are higher in Owingsville at 37.5% compared to 0.0% in Blue island.
  • Disability percentages are higher in Owingsville at 39.0% compared to 0.0% in Blue island.

Education Levels

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

Education Level Owingsville Blue island
No Schooling 1.1% (18) 0.0% (Data is updating)
High School Diploma 24.3% (386) 0.0% (Data is updating)
Less than High School 25.0% (396) 0.0% (Data is updating)
Bachelor's Degree and Higher 11.3% (180) 0.0% (Data is updating)

Education Levels Comparison: Owingsville vs Blue island

  • A higher percentage of residents in Owingsville have no formal schooling at 1.1% compared to 0.0% in Blue island.
  • A higher percentage of residents in Owingsville hold a high school diploma at 24.3% compared to 0.0% in Blue island.
  • More residents in Owingsville have less than a high school education at 25.0% compared to 0.0% in Blue island.
  • A higher percentage of residents in Owingsville hold a bachelor's degree or higher at 11.3% compared to 0.0% in Blue island.

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.