Demographics details for Winona lake, IN vs Russell springs, KY

Population Overview

Compare main population characteristics in Winona lake, IN vs Russell springs, KY.

Data Winona lake Russell springs
Population 5,106 2,750
Median Age 28.9 years 44.8 years
Median Income $77,305 $34,219
Married Families 36.0% 29.0%
Poverty Level 5% 15%
Unemployment Rate 2.5 4.5

Population Comparison: Winona lake vs Russell springs

  • In Winona lake, the population is higher at 5,106, compared to 2,750 in Russell springs.
  • The median age in Russell springs is higher at 44.8 years, compared to 28.9 years in Winona lake.
  • Winona lake has a higher median income of $77,305 compared to $34,219 in Russell springs.
  • A higher percentage of married families is found in Winona lake at 36.0% compared to 29.0% in Russell springs.
  • The poverty level is higher in Russell springs at 15%, compared to 5% in Winona lake.
  • Russell springs has a higher unemployment rate at 4.5% compared to 2.5% in Winona lake.

Demographics

Demographics Winona lake vs Russell springs provide insight into the diversity of the communities to compare.

Demographic Winona lake Russell springs
Black 1 1
White 79 88
Asian 1 Data is updating
Hispanic 14 3
Two or More Races 5 8
American Indian Data is updating Data is updating

Demographics Comparison: Winona lake vs Russell springs

  • The percentage of Black residents is the same in both Winona lake and Russell springs at 1%.
  • The percentage of White residents is higher in Russell springs at 88% compared to 79% in Winona lake.
  • The Asian population is larger in Winona lake at 1% compared to 0% in Russell springs.
  • The Hispanic community is larger in Winona lake at 14% compared to 3% in Russell springs.
  • The percentage of residents identifying as two or more races is higher in Russell springs at 8%, compared to 5% in Winona lake.
  • The percentage of American Indian residents is the same in both Winona lake and Russell springs at 0%.

Health Statistics

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

Health Metric Winona lake Russell springs
Mental Health Not Good 15.7% 20.7%
Physical Health Not Good 9.8% 15.6%
Depression 24.7% 29.0%
Smoking 16.3% 25.6%
Binge Drinking 18.1% 14.5%
Obesity 35.6% 40.3%
Disability Percentage 8.0% 15.0%

Health Statistics Comparison: Winona lake vs Russell springs

  • In Russell springs, a higher percentage report poor mental health at 20.7% compared to 15.7% in Winona lake.
  • Higher depression rates are seen in Russell springs at 29.0% versus 24.7% in Winona lake.
  • Russell springs has a higher smoking rate at 25.6% compared to 16.3% in Winona lake.
  • Binge drinking is more common in Winona lake at 18.1% compared to 14.5% in Russell springs.
  • Russell springs has higher obesity rates at 40.3% compared to 35.6% in Winona lake.
  • There is a higher percentage of disabled individuals in Russell springs at 15.0% compared to 8.0% in Winona lake.

Education Levels

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

Education Level Winona lake Russell springs
No Schooling 0.3% (17) 0.7% (20)
High School Diploma 9.5% (483) 13.6% (375)
Less than High School 4.0% (205) 23.3% (642)
Bachelor's Degree and Higher 32.4% (1,654) 18.4% (505)

Education Levels Comparison: Winona lake vs Russell springs

  • In Russell springs, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Winona lake.
  • In Russell springs, the rate of residents with high school diplomas is higher at 13.6% compared to 9.5% in Winona lake.
  • The percentage of residents with less than a high school education is higher in Russell springs at 23.3%, compared to 4.0% in Winona lake.
  • A higher percentage of residents in Winona lake hold a bachelor's degree or higher at 32.4% compared to 18.4% in Russell springs.

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.