Demographics details for Prairie farm, WI vs Rayland, OH

Population Overview

Compare main population characteristics in Prairie farm, WI vs Rayland, OH.

Data Prairie farm Rayland
Population 498 384
Median Age 47.9 years 48.5 years
Median Income $55,192 $56,875
Married Families 45.0% 46.0%
Poverty Level 10% 16%
Unemployment Rate 3.5 4.5

Population Comparison: Prairie farm vs Rayland

  • In Prairie farm, the population is higher at 498, compared to 384 in Rayland.
  • The median age in Rayland is higher at 48.5 years, compared to 47.9 years in Prairie farm.
  • Rayland has a higher median income of $56,875, compared to $55,192 in Prairie farm.
  • In Rayland, the percentage of married families is higher at 46.0%, compared to 45.0% in Prairie farm.
  • The poverty level is higher in Rayland at 16%, compared to 10% in Prairie farm.
  • Rayland has a higher unemployment rate at 4.5% compared to 3.5% in Prairie farm.

Demographics

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

Demographic Prairie farm Rayland
Black Data is updating Data is updating
White 96 98
Asian Data is updating Data is updating
Hispanic 2 Data is updating
Two or More Races 1 2
American Indian 1 Data is updating

Demographics Comparison: Prairie farm vs Rayland

  • The percentage of Black residents is the same in both Prairie farm and Rayland at 0%.
  • The percentage of White residents is higher in Rayland at 98% compared to 96% in Prairie farm.
  • Both Prairie farm and Rayland have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Prairie farm at 2% compared to 0% in Rayland.
  • The percentage of residents identifying as two or more races is higher in Rayland at 2%, compared to 1% in Prairie farm.
  • A greater percentage of American Indian residents live in Prairie farm at 1% compared to 0% in Rayland.

Health Statistics

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

Health Metric Prairie farm Rayland
Mental Health Not Good 16.0% 19.8%
Physical Health Not Good 10.8% 13.6%
Depression 24.2% 25.8%
Smoking 18.3% 25.7%
Binge Drinking 24.1% 18.0%
Obesity 35.7% 41.8%
Disability Percentage 15.0% 24.0%

Health Statistics Comparison: Prairie farm vs Rayland

  • In Rayland, a higher percentage report poor mental health at 19.8% compared to 16.0% in Prairie farm.
  • Higher depression rates are seen in Rayland at 25.8% versus 24.2% in Prairie farm.
  • Rayland has a higher smoking rate at 25.7% compared to 18.3% in Prairie farm.
  • Binge drinking is more common in Prairie farm at 24.1% compared to 18.0% in Rayland.
  • Rayland has higher obesity rates at 41.8% compared to 35.7% in Prairie farm.
  • There is a higher percentage of disabled individuals in Rayland at 24.0% 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 Rayland
No Schooling 0.2% (1) 1.0% (4)
High School Diploma 32.3% (161) 35.4% (136)
Less than High School 11.6% (58) 9.9% (38)
Bachelor's Degree and Higher 6.8% (34) 7.3% (28)

Education Levels Comparison: Prairie farm vs Rayland

  • In Rayland, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Prairie farm.
  • In Rayland, the rate of residents with high school diplomas is higher at 35.4% compared to 32.3% in Prairie farm.
  • More residents in Prairie farm have less than a high school education at 11.6% compared to 9.9% in Rayland.
  • In Rayland, a larger share of residents have a bachelor's degree or higher at 7.3% 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.