Demographics details for Cottonwood, ID vs Owingsville, KY

Population Overview

Compare main population characteristics in Cottonwood, ID vs Owingsville, KY.

Data Cottonwood Owingsville
Population 876 1,587
Median Age 33.1 years 38.1 years
Median Income $55,147 $38,255
Married Families 56.0% 41.0%
Poverty Level Data is updating 15%
Unemployment Rate 2.5 5.0

Population Comparison: Cottonwood vs Owingsville

  • The population in Owingsville is higher at 1,587, compared to 876 in Cottonwood.
  • The median age in Owingsville is higher at 38.1 years, compared to 33.1 years in Cottonwood.
  • Cottonwood has a higher median income of $55,147 compared to $38,255 in Owingsville.
  • A higher percentage of married families is found in Cottonwood at 56.0% compared to 41.0% in Owingsville.
  • The poverty level is higher in Owingsville at 15%, compared to 0% in Cottonwood.
  • Owingsville has a higher unemployment rate at 5.0% compared to 2.5% in Cottonwood.

Demographics

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

Demographic Cottonwood Owingsville
Black Data is updating 4
White 92 91
Asian Data is updating Data is updating
Hispanic 1 2
Two or More Races 6 3
American Indian 1 Data is updating

Demographics Comparison: Cottonwood vs Owingsville

  • In Owingsville, the percentage of Black residents is higher at 4% compared to 0% in Cottonwood.
  • Cottonwood has a higher percentage of White residents at 92% compared to 91% in Owingsville.
  • Both Cottonwood and Owingsville have the same percentage of Asian residents at 0%.
  • Owingsville has a higher percentage of Hispanic residents at 2%, compared to 1% in Cottonwood.
  • More residents identify as two or more races in Cottonwood at 6% compared to 3% in Owingsville.
  • A greater percentage of American Indian residents live in Cottonwood at 1% compared to 0% in Owingsville.

Health Statistics

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

Health Metric Cottonwood Owingsville
Mental Health Not Good 15.8% 20.1%
Physical Health Not Good 11.9% 14.7%
Depression 22.3% 29.1%
Smoking 17.8% 24.0%
Binge Drinking 15.7% 15.4%
Obesity 31.2% 37.5%
Disability Percentage 18.0% 39.0%

Health Statistics Comparison: Cottonwood vs Owingsville

  • In Owingsville, a higher percentage report poor mental health at 20.1% compared to 15.8% in Cottonwood.
  • Higher depression rates are seen in Owingsville at 29.1% versus 22.3% in Cottonwood.
  • Owingsville has a higher smoking rate at 24.0% compared to 17.8% in Cottonwood.
  • Binge drinking is more common in Cottonwood at 15.7% compared to 15.4% in Owingsville.
  • Owingsville has higher obesity rates at 37.5% compared to 31.2% in Cottonwood.
  • There is a higher percentage of disabled individuals in Owingsville at 39.0% compared to 18.0% in Cottonwood.

Education Levels

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

Education Level Cottonwood Owingsville
No Schooling 0.0% (Data is updating) 1.1% (18)
High School Diploma 28.3% (248) 24.3% (386)
Less than High School 19.6% (172) 25.0% (396)
Bachelor's Degree and Higher 20.2% (177) 11.3% (180)

Education Levels Comparison: Cottonwood vs Owingsville

  • In Owingsville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Cottonwood.
  • A higher percentage of residents in Cottonwood hold a high school diploma at 28.3% compared to 24.3% in Owingsville.
  • The percentage of residents with less than a high school education is higher in Owingsville at 25.0%, compared to 19.6% in Cottonwood.
  • A higher percentage of residents in Cottonwood hold a bachelor's degree or higher at 20.2% 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.