Demographics details for Wauconda, IL vs Ridgefield, CT

Population Overview

Compare main population characteristics in Wauconda, IL vs Ridgefield, CT.

Data Wauconda Ridgefield
Population 13,932 24,638
Median Age 36.8 years Data is updating
Median Income $108,229 $Data is updating
Married Families 43.0% Data is updating
Poverty Level 8% Data is updating
Unemployment Rate 3.5 2.5

Population Comparison: Wauconda vs Ridgefield

  • The population in Ridgefield is higher at 24,638, compared to 13,932 in Wauconda.
  • Residents in Wauconda have a higher median age of 36.8 years compared to 0.0 years in Ridgefield.
  • Wauconda has a higher median income of $108,229 compared to $0 in Ridgefield.
  • A higher percentage of married families is found in Wauconda at 43.0% compared to 0.0% in Ridgefield.
  • Wauconda has a higher poverty level at 8% compared to 0% in Ridgefield.
  • The unemployment rate in Wauconda is higher at 3.5%, compared to 2.5% in Ridgefield.

Demographics

Demographics Wauconda vs Ridgefield provide insight into the diversity of the communities to compare.

Demographic Wauconda Ridgefield
Black 1 Data is updating
White 66 100
Asian 6 Data is updating
Hispanic 18 Data is updating
Two or More Races 9 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Wauconda vs Ridgefield

  • A higher percentage of Black residents are in Wauconda at 1% compared to 0% in Ridgefield.
  • The percentage of White residents is higher in Ridgefield at 100% compared to 66% in Wauconda.
  • The Asian population is larger in Wauconda at 6% compared to 0% in Ridgefield.
  • The Hispanic community is larger in Wauconda at 18% compared to 0% in Ridgefield.
  • More residents identify as two or more races in Wauconda at 9% compared to 0% in Ridgefield.
  • The percentage of American Indian residents is the same in both Wauconda and Ridgefield at 0%.

Health Statistics

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

Health Metric Wauconda Ridgefield
Mental Health Not Good 14.2% Data is updating%
Physical Health Not Good 9.2% Data is updating%
Depression 18.8% Data is updating%
Smoking 12.7% Data is updating%
Binge Drinking 18.8% Data is updating%
Obesity 31.0% Data is updating%
Disability Percentage 8.0% Data is updating%

Health Statistics Comparison: Wauconda vs Ridgefield

  • More residents in Wauconda report poor mental health at 14.2% compared to 0.0% in Ridgefield.
  • Depression is more prevalent in Wauconda at 18.8% compared to 0.0% in Ridgefield.
  • Smoking is more prevalent in Wauconda at 12.7% compared to 0.0% in Ridgefield.
  • Binge drinking is more common in Wauconda at 18.8% compared to 0.0% in Ridgefield.
  • Obesity rates are higher in Wauconda at 31.0% compared to 0.0% in Ridgefield.
  • Disability percentages are higher in Wauconda at 8.0% compared to 0.0% in Ridgefield.

Education Levels

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

Education Level Wauconda Ridgefield
No Schooling 1.4% (202) 0.0% (Data is updating)
High School Diploma 10.5% (1,456) 0.0% (Data is updating)
Less than High School 10.2% (1,425) 0.0% (Data is updating)
Bachelor's Degree and Higher 26.0% (3,623) 0.0% (Data is updating)

Education Levels Comparison: Wauconda vs Ridgefield

  • A higher percentage of residents in Wauconda have no formal schooling at 1.4% compared to 0.0% in Ridgefield.
  • A higher percentage of residents in Wauconda hold a high school diploma at 10.5% compared to 0.0% in Ridgefield.
  • More residents in Wauconda have less than a high school education at 10.2% compared to 0.0% in Ridgefield.
  • A higher percentage of residents in Wauconda hold a bachelor's degree or higher at 26.0% compared to 0.0% in Ridgefield.

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.