Demographics details for Jefferson city, MO vs Owingsville, KY

Population Overview

Compare main population characteristics in Jefferson city, MO vs Owingsville, KY.

Data Jefferson city Owingsville
Population 42,528 1,587
Median Age 38.5 years 38.1 years
Median Income $63,649 $38,255
Married Families 37.0% 41.0%
Poverty Level 11% 15%
Unemployment Rate 3.9 5.0

Population Comparison: Jefferson city vs Owingsville

  • In Jefferson city, the population is higher at 42,528, compared to 1,587 in Owingsville.
  • Residents in Jefferson city have a higher median age of 38.5 years compared to 38.1 years in Owingsville.
  • Jefferson city has a higher median income of $63,649 compared to $38,255 in Owingsville.
  • In Owingsville, the percentage of married families is higher at 41.0%, compared to 37.0% in Jefferson city.
  • The poverty level is higher in Owingsville at 15%, compared to 11% in Jefferson city.
  • Owingsville has a higher unemployment rate at 5.0% compared to 3.9% in Jefferson city.

Demographics

Demographics Jefferson city vs Owingsville provide insight into the diversity of the communities to compare.

Demographic Jefferson city Owingsville
Black 18 4
White 72 91
Asian 3 Data is updating
Hispanic 3 2
Two or More Races 4 3
American Indian Data is updating Data is updating

Demographics Comparison: Jefferson city vs Owingsville

  • A higher percentage of Black residents are in Jefferson city at 18% compared to 4% in Owingsville.
  • The percentage of White residents is higher in Owingsville at 91% compared to 72% in Jefferson city.
  • The Asian population is larger in Jefferson city at 3% compared to 0% in Owingsville.
  • The Hispanic community is larger in Jefferson city at 3% compared to 2% in Owingsville.
  • More residents identify as two or more races in Jefferson city at 4% compared to 3% in Owingsville.
  • The percentage of American Indian residents is the same in both Jefferson city and Owingsville at 0%.

Health Statistics

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

Health Metric Jefferson city Owingsville
Mental Health Not Good 17.1% 20.1%
Physical Health Not Good 11.6% 14.7%
Depression 22.6% 29.1%
Smoking 18.6% 24.0%
Binge Drinking 16.9% 15.4%
Obesity 37.4% 37.5%
Disability Percentage 11.0% 39.0%

Health Statistics Comparison: Jefferson city vs Owingsville

  • In Owingsville, a higher percentage report poor mental health at 20.1% compared to 17.1% in Jefferson city.
  • Higher depression rates are seen in Owingsville at 29.1% versus 22.6% in Jefferson city.
  • Owingsville has a higher smoking rate at 24.0% compared to 18.6% in Jefferson city.
  • Binge drinking is more common in Jefferson city at 16.9% compared to 15.4% in Owingsville.
  • Owingsville has higher obesity rates at 37.5% compared to 37.4% in Jefferson city.
  • There is a higher percentage of disabled individuals in Owingsville at 39.0% compared to 11.0% in Jefferson city.

Education Levels

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

Education Level Jefferson city Owingsville
No Schooling 0.5% (233) 1.1% (18)
High School Diploma 15.9% (6,767) 24.3% (386)
Less than High School 11.0% (4,659) 25.0% (396)
Bachelor's Degree and Higher 24.8% (10,543) 11.3% (180)

Education Levels Comparison: Jefferson city vs Owingsville

  • In Owingsville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Jefferson city.
  • In Owingsville, the rate of residents with high school diplomas is higher at 24.3% compared to 15.9% in Jefferson city.
  • The percentage of residents with less than a high school education is higher in Owingsville at 25.0%, compared to 11.0% in Jefferson city.
  • A higher percentage of residents in Jefferson city hold a bachelor's degree or higher at 24.8% compared to 11.3% in Owingsville.

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.