Demographics details for Prairie farm, WI vs Churdan, IA

Population Overview

Compare main population characteristics in Prairie farm, WI vs Churdan, IA.

Data Prairie farm Churdan
Population 498 363
Median Age 47.9 years 28.8 years
Median Income $55,192 $58,125
Married Families 45.0% 49.0%
Poverty Level 10% 10%
Unemployment Rate 3.5 3.0

Population Comparison: Prairie farm vs Churdan

  • In Prairie farm, the population is higher at 498, compared to 363 in Churdan.
  • Residents in Prairie farm have a higher median age of 47.9 years compared to 28.8 years in Churdan.
  • Churdan has a higher median income of $58,125, compared to $55,192 in Prairie farm.
  • In Churdan, the percentage of married families is higher at 49.0%, compared to 45.0% in Prairie farm.
  • The poverty level is identical in both Prairie farm and Churdan at 10%.
  • The unemployment rate in Prairie farm is higher at 3.5%, compared to 3.0% in Churdan.

Demographics

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

Demographic Prairie farm Churdan
Black Data is updating 1
White 96 87
Asian Data is updating 3
Hispanic 2 2
Two or More Races 1 5
American Indian 1 2

Demographics Comparison: Prairie farm vs Churdan

  • In Churdan, 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 87% in Churdan.
  • In Churdan, the Asian population stands at 3%, greater than 0% in Prairie farm.
  • The percentage of Hispanic residents is the same in both Prairie farm and Churdan at 2%.
  • The percentage of residents identifying as two or more races is higher in Churdan at 5%, compared to 1% in Prairie farm.
  • In Churdan, the percentage of American Indian residents is higher at 2%, compared to 1% in Prairie farm.

Health Statistics

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

Health Metric Prairie farm Churdan
Mental Health Not Good 16.0% 16.2%
Physical Health Not Good 10.8% 10.3%
Depression 24.2% 19.7%
Smoking 18.3% 18.3%
Binge Drinking 24.1% 21.1%
Obesity 35.7% 36.4%
Disability Percentage 15.0% 25.0%

Health Statistics Comparison: Prairie farm vs Churdan

  • In Churdan, a higher percentage report poor mental health at 16.2% compared to 16.0% in Prairie farm.
  • Depression is more prevalent in Prairie farm at 24.2% compared to 19.7% in Churdan.
  • Smoking rates are the same in both Prairie farm and Churdan at 18.3%.
  • Binge drinking is more common in Prairie farm at 24.1% compared to 21.1% in Churdan.
  • Churdan has higher obesity rates at 36.4% compared to 35.7% in Prairie farm.
  • There is a higher percentage of disabled individuals in Churdan at 25.0% compared to 15.0% in Prairie farm.

Education Levels

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

Education Level Prairie farm Churdan
No Schooling 0.2% (1) 0.0% (Data is updating)
High School Diploma 32.3% (161) 30.6% (111)
Less than High School 11.6% (58) 12.7% (46)
Bachelor's Degree and Higher 6.8% (34) 11.6% (42)

Education Levels Comparison: Prairie farm vs Churdan

  • A higher percentage of residents in Prairie farm have no formal schooling at 0.2% compared to 0.0% in Churdan.
  • A higher percentage of residents in Prairie farm hold a high school diploma at 32.3% compared to 30.6% in Churdan.
  • The percentage of residents with less than a high school education is higher in Churdan at 12.7%, compared to 11.6% in Prairie farm.
  • In Churdan, a larger share of residents have a bachelor's degree or higher at 11.6% 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.