Demographics details for Monroe center, IL vs White swan, WA

Population Overview

Compare main population characteristics in Monroe center, IL vs White swan, WA.

Data Monroe center White swan
Population 410 561
Median Age 39.6 years 24.5 years
Median Income $86,375 $51,667
Married Families 56.0% 13.0%
Poverty Level 5% 12%
Unemployment Rate 4.5 8.2

Population Comparison: Monroe center vs White swan

  • The population in White swan is higher at 561, compared to 410 in Monroe center.
  • Residents in Monroe center have a higher median age of 39.6 years compared to 24.5 years in White swan.
  • Monroe center has a higher median income of $86,375 compared to $51,667 in White swan.
  • A higher percentage of married families is found in Monroe center at 56.0% compared to 13.0% in White swan.
  • The poverty level is higher in White swan at 12%, compared to 5% in Monroe center.
  • White swan has a higher unemployment rate at 8.2% compared to 4.5% in Monroe center.

Demographics

Demographics Monroe center vs White swan provide insight into the diversity of the communities to compare.

Demographic Monroe center White swan
Black Data is updating Data is updating
White 96 -6
Asian Data is updating Data is updating
Hispanic 2 26
Two or More Races 2 10
American Indian Data is updating 70

Demographics Comparison: Monroe center vs White swan

  • The percentage of Black residents is the same in both Monroe center and White swan at 0%.
  • Monroe center has a higher percentage of White residents at 96% compared to -6% in White swan.
  • Both Monroe center and White swan have the same percentage of Asian residents at 0%.
  • White swan has a higher percentage of Hispanic residents at 26%, compared to 2% in Monroe center.
  • The percentage of residents identifying as two or more races is higher in White swan at 10%, compared to 2% in Monroe center.
  • In White swan, the percentage of American Indian residents is higher at 70%, compared to 0% in Monroe center.

Health Statistics

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

Health Metric Monroe center White swan
Mental Health Not Good 16.4% 22.0%
Physical Health Not Good 10.9% 18.1%
Depression 21.7% 24.7%
Smoking 17.3% 26.0%
Binge Drinking 18.7% 15.8%
Obesity 34.5% 43.8%
Disability Percentage 16.0% 21.0%

Health Statistics Comparison: Monroe center vs White swan

  • In White swan, a higher percentage report poor mental health at 22.0% compared to 16.4% in Monroe center.
  • Higher depression rates are seen in White swan at 24.7% versus 21.7% in Monroe center.
  • White swan has a higher smoking rate at 26.0% compared to 17.3% in Monroe center.
  • Binge drinking is more common in Monroe center at 18.7% compared to 15.8% in White swan.
  • White swan has higher obesity rates at 43.8% compared to 34.5% in Monroe center.
  • There is a higher percentage of disabled individuals in White swan at 21.0% compared to 16.0% in Monroe center.

Education Levels

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

Education Level Monroe center White swan
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 20.5% (84) 16.4% (92)
Less than High School 7.8% (32) 24.8% (139)
Bachelor's Degree and Higher 17.1% (70) 0.9% (5)

Education Levels Comparison: Monroe center vs White swan

  • The percentage of residents with no formal schooling is the same in both Monroe center and White swan at 0.0%.
  • A higher percentage of residents in Monroe center hold a high school diploma at 20.5% compared to 16.4% in White swan.
  • The percentage of residents with less than a high school education is higher in White swan at 24.8%, compared to 7.8% in Monroe center.
  • A higher percentage of residents in Monroe center hold a bachelor's degree or higher at 17.1% compared to 0.9% in White swan.

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.