Demographics details for Prairie farm, WI vs Winona lake, IN

Population Overview

Compare main population characteristics in Prairie farm, WI vs Winona lake, IN.

Data Prairie farm Winona lake
Population 498 5,106
Median Age 47.9 years 28.9 years
Median Income $55,192 $77,305
Married Families 45.0% 36.0%
Poverty Level 10% 5%
Unemployment Rate 3.5 2.5

Population Comparison: Prairie farm vs Winona lake

  • The population in Winona lake is higher at 5,106, compared to 498 in Prairie farm.
  • Residents in Prairie farm have a higher median age of 47.9 years compared to 28.9 years in Winona lake.
  • Winona lake has a higher median income of $77,305, compared to $55,192 in Prairie farm.
  • A higher percentage of married families is found in Prairie farm at 45.0% compared to 36.0% in Winona lake.
  • Prairie farm has a higher poverty level at 10% compared to 5% in Winona lake.
  • The unemployment rate in Prairie farm is higher at 3.5%, compared to 2.5% in Winona lake.

Demographics

Demographics Prairie farm vs Winona lake provide insight into the diversity of the communities to compare.

Demographic Prairie farm Winona lake
Black Data is updating 1
White 96 79
Asian Data is updating 1
Hispanic 2 14
Two or More Races 1 5
American Indian 1 Data is updating

Demographics Comparison: Prairie farm vs Winona lake

  • In Winona lake, the percentage of Black residents is higher at 1% compared to 0% in Prairie farm.
  • Prairie farm has a higher percentage of White residents at 96% compared to 79% in Winona lake.
  • In Winona lake, the Asian population stands at 1%, greater than 0% in Prairie farm.
  • Winona lake has a higher percentage of Hispanic residents at 14%, compared to 2% in Prairie farm.
  • The percentage of residents identifying as two or more races is higher in Winona lake at 5%, compared to 1% in Prairie farm.
  • A greater percentage of American Indian residents live in Prairie farm at 1% compared to 0% in Winona lake.

Health Statistics

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

Health Metric Prairie farm Winona lake
Mental Health Not Good 16.0% 15.7%
Physical Health Not Good 10.8% 9.8%
Depression 24.2% 24.7%
Smoking 18.3% 16.3%
Binge Drinking 24.1% 18.1%
Obesity 35.7% 35.6%
Disability Percentage 15.0% 8.0%

Health Statistics Comparison: Prairie farm vs Winona lake

  • More residents in Prairie farm report poor mental health at 16.0% compared to 15.7% in Winona lake.
  • Higher depression rates are seen in Winona lake at 24.7% versus 24.2% in Prairie farm.
  • Smoking is more prevalent in Prairie farm at 18.3% compared to 16.3% in Winona lake.
  • Binge drinking is more common in Prairie farm at 24.1% compared to 18.1% in Winona lake.
  • Obesity rates are higher in Prairie farm at 35.7% compared to 35.6% in Winona lake.
  • Disability percentages are higher in Prairie farm 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 Prairie farm Winona lake
No Schooling 0.2% (1) 0.3% (17)
High School Diploma 32.3% (161) 9.5% (483)
Less than High School 11.6% (58) 4.0% (205)
Bachelor's Degree and Higher 6.8% (34) 32.4% (1,654)

Education Levels Comparison: Prairie farm vs Winona lake

  • In Winona lake, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Prairie farm.
  • A higher percentage of residents in Prairie farm hold a high school diploma at 32.3% compared to 9.5% in Winona lake.
  • More residents in Prairie farm have less than a high school education at 11.6% compared to 4.0% in Winona lake.
  • In Winona lake, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 6.8% in Prairie farm.

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.