Demographics details for Clarendon hills, IL vs Chester, VA

Population Overview

Compare main population characteristics in Clarendon hills, IL vs Chester, VA.

Data Clarendon hills Chester
Population 8,571 23,068
Median Age 41.1 years 40.6 years
Median Income $115,923 $87,242
Married Families 51.0% 42.0%
Poverty Level 3% 5%
Unemployment Rate 3.2 3.5

Population Comparison: Clarendon hills vs Chester

  • The population in Chester is higher at 23,068, compared to 8,571 in Clarendon hills.
  • Residents in Clarendon hills have a higher median age of 41.1 years compared to 40.6 years in Chester.
  • Clarendon hills has a higher median income of $115,923 compared to $87,242 in Chester.
  • A higher percentage of married families is found in Clarendon hills at 51.0% compared to 42.0% in Chester.
  • The poverty level is higher in Chester at 5%, compared to 3% in Clarendon hills.
  • Chester has a higher unemployment rate at 3.5% compared to 3.2% in Clarendon hills.

Demographics

Demographics Clarendon hills vs Chester provide insight into the diversity of the communities to compare.

Demographic Clarendon hills Chester
Black Data is updating 25
White 76 55
Asian 11 2
Hispanic 7 11
Two or More Races 6 6
American Indian Data is updating 1

Demographics Comparison: Clarendon hills vs Chester

  • In Chester, the percentage of Black residents is higher at 25% compared to 0% in Clarendon hills.
  • Clarendon hills has a higher percentage of White residents at 76% compared to 55% in Chester.
  • The Asian population is larger in Clarendon hills at 11% compared to 2% in Chester.
  • Chester has a higher percentage of Hispanic residents at 11%, compared to 7% in Clarendon hills.
  • Both Clarendon hills and Chester have the same percentage of residents identifying as two or more races at 6%.
  • In Chester, the percentage of American Indian residents is higher at 1%, compared to 0% in Clarendon hills.

Health Statistics

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

Health Metric Clarendon hills Chester
Mental Health Not Good 11.9% 16.6%
Physical Health Not Good 7.3% 10.0%
Depression 17.7% 21.3%
Smoking 9.3% 15.3%
Binge Drinking 17.1% 18.4%
Obesity 29.1% 36.5%
Disability Percentage 7.0% 11.0%

Health Statistics Comparison: Clarendon hills vs Chester

  • In Chester, a higher percentage report poor mental health at 16.6% compared to 11.9% in Clarendon hills.
  • Higher depression rates are seen in Chester at 21.3% versus 17.7% in Clarendon hills.
  • Chester has a higher smoking rate at 15.3% compared to 9.3% in Clarendon hills.
  • More residents engage in binge drinking in Chester at 18.4% compared to 17.1% in Clarendon hills.
  • Chester has higher obesity rates at 36.5% compared to 29.1% in Clarendon hills.
  • There is a higher percentage of disabled individuals in Chester at 11.0% compared to 7.0% in Clarendon hills.

Education Levels

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

Education Level Clarendon hills Chester
No Schooling 0.0% (2) 1.5% (344)
High School Diploma 3.5% (304) 16.8% (3,871)
Less than High School 4.4% (380) 11.9% (2,738)
Bachelor's Degree and Higher 51.3% (4,395) 22.3% (5,134)

Education Levels Comparison: Clarendon hills vs Chester

  • In Chester, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Clarendon hills.
  • In Chester, the rate of residents with high school diplomas is higher at 16.8% compared to 3.5% in Clarendon hills.
  • The percentage of residents with less than a high school education is higher in Chester at 11.9%, compared to 4.4% in Clarendon hills.
  • A higher percentage of residents in Clarendon hills hold a bachelor's degree or higher at 51.3% compared to 22.3% in Chester.

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.