Demographics details for Orland park, IL vs Canterbury, CT

Population Overview

Compare main population characteristics in Orland park, IL vs Canterbury, CT.

Data Orland park Canterbury
Population 57,511 5,100
Median Age 46.6 years 43.0 years
Median Income $97,365 $72,750
Married Families 48.0% 65.0%
Poverty Level 6% 5%
Unemployment Rate 5.4 2.7

Population Comparison: Orland park vs Canterbury

  • In Orland park, the population is higher at 57,511, compared to 5,100 in Canterbury.
  • Residents in Orland park have a higher median age of 46.6 years compared to 43.0 years in Canterbury.
  • Orland park has a higher median income of $97,365 compared to $72,750 in Canterbury.
  • In Canterbury, the percentage of married families is higher at 65.0%, compared to 48.0% in Orland park.
  • Orland park has a higher poverty level at 6% compared to 5% in Canterbury.
  • The unemployment rate in Orland park is higher at 5.4%, compared to 2.7% in Canterbury.

Demographics

Demographics Orland park vs Canterbury provide insight into the diversity of the communities to compare.

Demographic Orland park Canterbury
Black 4 Data is updating
White 76 96
Asian 5 1
Hispanic 10 1
Two or More Races 5 2
American Indian Data is updating Data is updating

Demographics Comparison: Orland park vs Canterbury

  • A higher percentage of Black residents are in Orland park at 4% compared to 0% in Canterbury.
  • The percentage of White residents is higher in Canterbury at 96% compared to 76% in Orland park.
  • The Asian population is larger in Orland park at 5% compared to 1% in Canterbury.
  • The Hispanic community is larger in Orland park at 10% compared to 1% in Canterbury.
  • More residents identify as two or more races in Orland park at 5% compared to 2% in Canterbury.
  • The percentage of American Indian residents is the same in both Orland park and Canterbury at 0%.

Health Statistics

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

Health Metric Orland park Canterbury
Mental Health Not Good 13.2% Data is updating%
Physical Health Not Good 8.6% Data is updating%
Depression 18.2% Data is updating%
Smoking 11.7% Data is updating%
Binge Drinking 20.2% Data is updating%
Obesity 26.8% Data is updating%
Disability Percentage 11.0% Data is updating%

Health Statistics Comparison: Orland park vs Canterbury

  • More residents in Orland park report poor mental health at 13.2% compared to 0.0% in Canterbury.
  • Depression is more prevalent in Orland park at 18.2% compared to 0.0% in Canterbury.
  • Smoking is more prevalent in Orland park at 11.7% compared to 0.0% in Canterbury.
  • Binge drinking is more common in Orland park at 20.2% compared to 0.0% in Canterbury.
  • Obesity rates are higher in Orland park at 26.8% compared to 0.0% in Canterbury.
  • Disability percentages are higher in Orland park at 11.0% compared to 0.0% in Canterbury.

Education Levels

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

Education Level Orland park Canterbury
No Schooling 0.5% (297) 0.0% (Data is updating)
High School Diploma 16.1% (9,262) 0.0% (Data is updating)
Less than High School 8.3% (4,763) 0.0% (Data is updating)
Bachelor's Degree and Higher 31.9% (18,372) 0.0% (Data is updating)

Education Levels Comparison: Orland park vs Canterbury

  • A higher percentage of residents in Orland park have no formal schooling at 0.5% compared to 0.0% in Canterbury.
  • A higher percentage of residents in Orland park hold a high school diploma at 16.1% compared to 0.0% in Canterbury.
  • More residents in Orland park have less than a high school education at 8.3% compared to 0.0% in Canterbury.
  • A higher percentage of residents in Orland park hold a bachelor's degree or higher at 31.9% compared to 0.0% in Canterbury.

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.