Demographics details for Tinley park, IL vs Blue springs, MO

Population Overview

Compare main population characteristics in Tinley park, IL vs Blue springs, MO.

Data Tinley park Blue springs
Population 54,287 59,518
Median Age 41.6 years 36.6 years
Median Income $99,628 $82,965
Married Families 45.0% 42.0%
Poverty Level 5% 9%
Unemployment Rate 5.7 3.7

Population Comparison: Tinley park vs Blue springs

  • The population in Blue springs is higher at 59,518, compared to 54,287 in Tinley park.
  • Residents in Tinley park have a higher median age of 41.6 years compared to 36.6 years in Blue springs.
  • Tinley park has a higher median income of $99,628 compared to $82,965 in Blue springs.
  • A higher percentage of married families is found in Tinley park at 45.0% compared to 42.0% in Blue springs.
  • The poverty level is higher in Blue springs at 9%, compared to 5% in Tinley park.
  • The unemployment rate in Tinley park is higher at 5.7%, compared to 3.7% in Blue springs.

Demographics

Demographics Tinley park vs Blue springs provide insight into the diversity of the communities to compare.

Demographic Tinley park Blue springs
Black 6 7
White 71 79
Asian 4 1
Hispanic 12 7
Two or More Races 7 6
American Indian Data is updating Data is updating

Demographics Comparison: Tinley park vs Blue springs

  • In Blue springs, the percentage of Black residents is higher at 7% compared to 6% in Tinley park.
  • The percentage of White residents is higher in Blue springs at 79% compared to 71% in Tinley park.
  • The Asian population is larger in Tinley park at 4% compared to 1% in Blue springs.
  • The Hispanic community is larger in Tinley park at 12% compared to 7% in Blue springs.
  • More residents identify as two or more races in Tinley park at 7% compared to 6% in Blue springs.
  • The percentage of American Indian residents is the same in both Tinley park and Blue springs at 0%.

Health Statistics

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

Health Metric Tinley park Blue springs
Mental Health Not Good 13.7% 17.3%
Physical Health Not Good 9.0% 10.4%
Depression 18.6% 22.8%
Smoking 12.5% 15.6%
Binge Drinking 19.9% 21.5%
Obesity 28.3% 34.7%
Disability Percentage 9.0% 10.0%

Health Statistics Comparison: Tinley park vs Blue springs

  • In Blue springs, a higher percentage report poor mental health at 17.3% compared to 13.7% in Tinley park.
  • Higher depression rates are seen in Blue springs at 22.8% versus 18.6% in Tinley park.
  • Blue springs has a higher smoking rate at 15.6% compared to 12.5% in Tinley park.
  • More residents engage in binge drinking in Blue springs at 21.5% compared to 19.9% in Tinley park.
  • Blue springs has higher obesity rates at 34.7% compared to 28.3% in Tinley park.
  • There is a higher percentage of disabled individuals in Blue springs at 10.0% compared to 9.0% in Tinley park.

Education Levels

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

Education Level Tinley park Blue springs
No Schooling 0.5% (275) 0.3% (178)
High School Diploma 16.9% (9,199) 16.5% (9,835)
Less than High School 5.9% (3,208) 4.9% (2,932)
Bachelor's Degree and Higher 27.8% (15,085) 21.8% (12,992)

Education Levels Comparison: Tinley park vs Blue springs

  • A higher percentage of residents in Tinley park have no formal schooling at 0.5% compared to 0.3% in Blue springs.
  • A higher percentage of residents in Tinley park hold a high school diploma at 16.9% compared to 16.5% in Blue springs.
  • More residents in Tinley park have less than a high school education at 5.9% compared to 4.9% in Blue springs.
  • A higher percentage of residents in Tinley park hold a bachelor's degree or higher at 27.8% compared to 21.8% in Blue springs.

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.