Demographics details for Olympia fields, IL vs Canton, GA

Population Overview

Compare main population characteristics in Olympia fields, IL vs Canton, GA.

Data Olympia fields Canton
Population 4,569 35,809
Median Age 40.8 years 34.6 years
Median Income $98,659 $75,414
Married Families 39.0% 39.0%
Poverty Level 9% 9%
Unemployment Rate 4.2 3.2

Population Comparison: Olympia fields vs Canton

  • The population in Canton is higher at 35,809, compared to 4,569 in Olympia fields.
  • Residents in Olympia fields have a higher median age of 40.8 years compared to 34.6 years in Canton.
  • Olympia fields has a higher median income of $98,659 compared to $75,414 in Canton.
  • The percentage of married families is the same in both Olympia fields and Canton at 39.0%.
  • The poverty level is identical in both Olympia fields and Canton at 9%.
  • The unemployment rate in Olympia fields is higher at 4.2%, compared to 3.2% in Canton.

Demographics

Demographics Olympia fields vs Canton provide insight into the diversity of the communities to compare.

Demographic Olympia fields Canton
Black 85 12
White 10 55
Asian 3 1
Hispanic Data is updating 21
Two or More Races 2 8
American Indian Data is updating 3

Demographics Comparison: Olympia fields vs Canton

  • A higher percentage of Black residents are in Olympia fields at 85% compared to 12% in Canton.
  • The percentage of White residents is higher in Canton at 55% compared to 10% in Olympia fields.
  • The Asian population is larger in Olympia fields at 3% compared to 1% in Canton.
  • Canton has a higher percentage of Hispanic residents at 21%, compared to 0% in Olympia fields.
  • The percentage of residents identifying as two or more races is higher in Canton at 8%, compared to 2% in Olympia fields.
  • In Canton, the percentage of American Indian residents is higher at 3%, compared to 0% in Olympia fields.

Health Statistics

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

Health Metric Olympia fields Canton
Mental Health Not Good 12.6% 15.8%
Physical Health Not Good 8.5% 11.9%
Depression 13.8% 21.8%
Smoking 11.1% 16.0%
Binge Drinking 16.8% 15.8%
Obesity 33.4% 33.4%
Disability Percentage 11.0% 10.0%

Health Statistics Comparison: Olympia fields vs Canton

  • In Canton, a higher percentage report poor mental health at 15.8% compared to 12.6% in Olympia fields.
  • Higher depression rates are seen in Canton at 21.8% versus 13.8% in Olympia fields.
  • Canton has a higher smoking rate at 16.0% compared to 11.1% in Olympia fields.
  • Binge drinking is more common in Olympia fields at 16.8% compared to 15.8% in Canton.
  • Both cities have the same obesity rates at 33.4%.
  • Disability percentages are higher in Olympia fields at 11.0% compared to 10.0% in Canton.

Education Levels

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

Education Level Olympia fields Canton
No Schooling 2.5% (114) 3.5% (1,250)
High School Diploma 8.4% (383) 10.1% (3,609)
Less than High School 4.0% (183) 18.0% (6,437)
Bachelor's Degree and Higher 31.2% (1,427) 19.7% (7,056)

Education Levels Comparison: Olympia fields vs Canton

  • In Canton, a larger percentage of residents lack formal schooling at 3.5% compared to 2.5% in Olympia fields.
  • In Canton, the rate of residents with high school diplomas is higher at 10.1% compared to 8.4% in Olympia fields.
  • The percentage of residents with less than a high school education is higher in Canton at 18.0%, compared to 4.0% in Olympia fields.
  • A higher percentage of residents in Olympia fields hold a bachelor's degree or higher at 31.2% compared to 19.7% in Canton.

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.