Demographics details for Prairie farm, WI vs Lake stevens, WA

Population Overview

Compare main population characteristics in Prairie farm, WI vs Lake stevens, WA.

Data Prairie farm Lake stevens
Population 498 39,848
Median Age 47.9 years 34.4 years
Median Income $55,192 $111,821
Married Families 45.0% 43.0%
Poverty Level 10% 7%
Unemployment Rate 3.5 5.3

Population Comparison: Prairie farm vs Lake stevens

  • The population in Lake stevens is higher at 39,848, compared to 498 in Prairie farm.
  • Residents in Prairie farm have a higher median age of 47.9 years compared to 34.4 years in Lake stevens.
  • Lake stevens has a higher median income of $111,821, compared to $55,192 in Prairie farm.
  • A higher percentage of married families is found in Prairie farm at 45.0% compared to 43.0% in Lake stevens.
  • Prairie farm has a higher poverty level at 10% compared to 7% in Lake stevens.
  • Lake stevens has a higher unemployment rate at 5.3% compared to 3.5% in Prairie farm.

Demographics

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

Demographic Prairie farm Lake stevens
Black Data is updating 3
White 96 69
Asian Data is updating 7
Hispanic 2 10
Two or More Races 1 10
American Indian 1 1

Demographics Comparison: Prairie farm vs Lake stevens

  • In Lake stevens, the percentage of Black residents is higher at 3% compared to 0% in Prairie farm.
  • Prairie farm has a higher percentage of White residents at 96% compared to 69% in Lake stevens.
  • In Lake stevens, the Asian population stands at 7%, greater than 0% in Prairie farm.
  • Lake stevens has a higher percentage of Hispanic residents at 10%, compared to 2% in Prairie farm.
  • The percentage of residents identifying as two or more races is higher in Lake stevens at 10%, compared to 1% in Prairie farm.
  • The percentage of American Indian residents is the same in both Prairie farm and Lake stevens at 1%.

Health Statistics

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

Health Metric Prairie farm Lake stevens
Mental Health Not Good 16.0% 16.7%
Physical Health Not Good 10.8% 10.4%
Depression 24.2% 29.7%
Smoking 18.3% 11.7%
Binge Drinking 24.1% 16.8%
Obesity 35.7% 33.0%
Disability Percentage 15.0% 9.0%

Health Statistics Comparison: Prairie farm vs Lake stevens

  • In Lake stevens, a higher percentage report poor mental health at 16.7% compared to 16.0% in Prairie farm.
  • Higher depression rates are seen in Lake stevens at 29.7% versus 24.2% in Prairie farm.
  • Smoking is more prevalent in Prairie farm at 18.3% compared to 11.7% in Lake stevens.
  • Binge drinking is more common in Prairie farm at 24.1% compared to 16.8% in Lake stevens.
  • Obesity rates are higher in Prairie farm at 35.7% compared to 33.0% in Lake stevens.
  • Disability percentages are higher in Prairie farm at 15.0% compared to 9.0% in Lake stevens.

Education Levels

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

Education Level Prairie farm Lake stevens
No Schooling 0.2% (1) 0.4% (144)
High School Diploma 32.3% (161) 13.7% (5,469)
Less than High School 11.6% (58) 6.6% (2,647)
Bachelor's Degree and Higher 6.8% (34) 20.5% (8,151)

Education Levels Comparison: Prairie farm vs Lake stevens

  • In Lake stevens, a larger percentage of residents lack formal schooling at 0.4% 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 13.7% in Lake stevens.
  • More residents in Prairie farm have less than a high school education at 11.6% compared to 6.6% in Lake stevens.
  • In Lake stevens, a larger share of residents have a bachelor's degree or higher at 20.5% 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.