Demographics details for Prairie farm, WI vs Cullman, AL

Population Overview

Compare main population characteristics in Prairie farm, WI vs Cullman, AL.

Data Prairie farm Cullman
Population 498 19,251
Median Age 47.9 years 42.0 years
Median Income $55,192 $59,982
Married Families 45.0% 39.0%
Poverty Level 10% 12%
Unemployment Rate 3.5 4.3

Population Comparison: Prairie farm vs Cullman

  • The population in Cullman is higher at 19,251, compared to 498 in Prairie farm.
  • Residents in Prairie farm have a higher median age of 47.9 years compared to 42.0 years in Cullman.
  • Cullman has a higher median income of $59,982, compared to $55,192 in Prairie farm.
  • A higher percentage of married families is found in Prairie farm at 45.0% compared to 39.0% in Cullman.
  • The poverty level is higher in Cullman at 12%, compared to 10% in Prairie farm.
  • Cullman has a higher unemployment rate at 4.3% compared to 3.5% in Prairie farm.

Demographics

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

Demographic Prairie farm Cullman
Black Data is updating 1
White 96 92
Asian Data is updating 1
Hispanic 2 2
Two or More Races 1 4
American Indian 1 Data is updating

Demographics Comparison: Prairie farm vs Cullman

  • In Cullman, 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 92% in Cullman.
  • In Cullman, the Asian population stands at 1%, greater than 0% in Prairie farm.
  • The percentage of Hispanic residents is the same in both Prairie farm and Cullman at 2%.
  • The percentage of residents identifying as two or more races is higher in Cullman at 4%, compared to 1% in Prairie farm.
  • A greater percentage of American Indian residents live in Prairie farm at 1% compared to 0% in Cullman.

Health Statistics

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

Health Metric Prairie farm Cullman
Mental Health Not Good 16.0% 18.5%
Physical Health Not Good 10.8% 12.6%
Depression 24.2% 24.9%
Smoking 18.3% 18.2%
Binge Drinking 24.1% 16.4%
Obesity 35.7% 37.5%
Disability Percentage 15.0% 14.0%

Health Statistics Comparison: Prairie farm vs Cullman

  • In Cullman, a higher percentage report poor mental health at 18.5% compared to 16.0% in Prairie farm.
  • Higher depression rates are seen in Cullman at 24.9% versus 24.2% in Prairie farm.
  • Smoking is more prevalent in Prairie farm at 18.3% compared to 18.2% in Cullman.
  • Binge drinking is more common in Prairie farm at 24.1% compared to 16.4% in Cullman.
  • Cullman has higher obesity rates at 37.5% compared to 35.7% in Prairie farm.
  • Disability percentages are higher in Prairie farm at 15.0% compared to 14.0% in Cullman.

Education Levels

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

Education Level Prairie farm Cullman
No Schooling 0.2% (1) 0.7% (130)
High School Diploma 32.3% (161) 13.6% (2,614)
Less than High School 11.6% (58) 13.0% (2,512)
Bachelor's Degree and Higher 6.8% (34) 22.1% (4,253)

Education Levels Comparison: Prairie farm vs Cullman

  • In Cullman, a larger percentage of residents lack formal schooling at 0.7% 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 13.6% in Cullman.
  • The percentage of residents with less than a high school education is higher in Cullman at 13.0%, compared to 11.6% in Prairie farm.
  • In Cullman, a larger share of residents have a bachelor's degree or higher at 22.1% 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.