Demographics details for Owingsville, KY vs Pleasant prairie, WI

Population Overview

Compare main population characteristics in Owingsville, KY vs Pleasant prairie, WI.

Data Owingsville Pleasant prairie
Population 1,587 21,840
Median Age 38.1 years 43.1 years
Median Income $38,255 $99,635
Married Families 41.0% 45.0%
Poverty Level 15% 4%
Unemployment Rate 5.0 3.1

Population Comparison: Owingsville vs Pleasant prairie

  • The population in Pleasant prairie is higher at 21,840, compared to 1,587 in Owingsville.
  • The median age in Pleasant prairie is higher at 43.1 years, compared to 38.1 years in Owingsville.
  • Pleasant prairie has a higher median income of $99,635, compared to $38,255 in Owingsville.
  • In Pleasant prairie, the percentage of married families is higher at 45.0%, compared to 41.0% in Owingsville.
  • Owingsville has a higher poverty level at 15% compared to 4% in Pleasant prairie.
  • The unemployment rate in Owingsville is higher at 5.0%, compared to 3.1% in Pleasant prairie.

Demographics

Demographics Owingsville vs Pleasant prairie provide insight into the diversity of the communities to compare.

Demographic Owingsville Pleasant prairie
Black 4 2
White 91 80
Asian Data is updating 2
Hispanic 2 9
Two or More Races 3 7
American Indian Data is updating Data is updating

Demographics Comparison: Owingsville vs Pleasant prairie

  • A higher percentage of Black residents are in Owingsville at 4% compared to 2% in Pleasant prairie.
  • Owingsville has a higher percentage of White residents at 91% compared to 80% in Pleasant prairie.
  • In Pleasant prairie, the Asian population stands at 2%, greater than 0% in Owingsville.
  • Pleasant prairie has a higher percentage of Hispanic residents at 9%, compared to 2% in Owingsville.
  • The percentage of residents identifying as two or more races is higher in Pleasant prairie at 7%, compared to 3% in Owingsville.
  • The percentage of American Indian residents is the same in both Owingsville and Pleasant prairie at 0%.

Health Statistics

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

Health Metric Owingsville Pleasant prairie
Mental Health Not Good 20.1% 13.9%
Physical Health Not Good 14.7% 9.0%
Depression 29.1% 22.8%
Smoking 24.0% 13.4%
Binge Drinking 15.4% 24.6%
Obesity 37.5% 34.6%
Disability Percentage 39.0% 11.0%

Health Statistics Comparison: Owingsville vs Pleasant prairie

  • More residents in Owingsville report poor mental health at 20.1% compared to 13.9% in Pleasant prairie.
  • Depression is more prevalent in Owingsville at 29.1% compared to 22.8% in Pleasant prairie.
  • Smoking is more prevalent in Owingsville at 24.0% compared to 13.4% in Pleasant prairie.
  • More residents engage in binge drinking in Pleasant prairie at 24.6% compared to 15.4% in Owingsville.
  • Obesity rates are higher in Owingsville at 37.5% compared to 34.6% in Pleasant prairie.
  • Disability percentages are higher in Owingsville at 39.0% compared to 11.0% in Pleasant prairie.

Education Levels

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

Education Level Owingsville Pleasant prairie
No Schooling 1.1% (18) 0.6% (127)
High School Diploma 24.3% (386) 14.5% (3,170)
Less than High School 25.0% (396) 7.7% (1,688)
Bachelor's Degree and Higher 11.3% (180) 27.8% (6,082)

Education Levels Comparison: Owingsville vs Pleasant prairie

  • A higher percentage of residents in Owingsville have no formal schooling at 1.1% compared to 0.6% in Pleasant prairie.
  • A higher percentage of residents in Owingsville hold a high school diploma at 24.3% compared to 14.5% in Pleasant prairie.
  • More residents in Owingsville have less than a high school education at 25.0% compared to 7.7% in Pleasant prairie.
  • In Pleasant prairie, a larger share of residents have a bachelor's degree or higher at 27.8% 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.