Demographics details for Tinley park, IL vs Prairie village, KS

Population Overview

Compare main population characteristics in Tinley park, IL vs Prairie village, KS.

Data Tinley park Prairie village
Population 54,287 22,947
Median Age 41.6 years 40.0 years
Median Income $99,628 $99,691
Married Families 45.0% 46.0%
Poverty Level 5% 5%
Unemployment Rate 5.7 2.5

Population Comparison: Tinley park vs Prairie village

  • In Tinley park, the population is higher at 54,287, compared to 22,947 in Prairie village.
  • Residents in Tinley park have a higher median age of 41.6 years compared to 40.0 years in Prairie village.
  • Prairie village has a higher median income of $99,691, compared to $99,628 in Tinley park.
  • In Prairie village, the percentage of married families is higher at 46.0%, compared to 45.0% in Tinley park.
  • The poverty level is identical in both Tinley park and Prairie village at 5%.
  • The unemployment rate in Tinley park is higher at 5.7%, compared to 2.5% in Prairie village.

Demographics

Demographics Tinley park vs Prairie village provide insight into the diversity of the communities to compare.

Demographic Tinley park Prairie village
Black 6 1
White 71 88
Asian 4 1
Hispanic 12 5
Two or More Races 7 5
American Indian Data is updating Data is updating

Demographics Comparison: Tinley park vs Prairie village

  • A higher percentage of Black residents are in Tinley park at 6% compared to 1% in Prairie village.
  • The percentage of White residents is higher in Prairie village at 88% compared to 71% in Tinley park.
  • The Asian population is larger in Tinley park at 4% compared to 1% in Prairie village.
  • The Hispanic community is larger in Tinley park at 12% compared to 5% in Prairie village.
  • More residents identify as two or more races in Tinley park at 7% compared to 5% in Prairie village.
  • The percentage of American Indian residents is the same in both Tinley park and Prairie village at 0%.

Health Statistics

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

Health Metric Tinley park Prairie village
Mental Health Not Good 13.7% 11.5%
Physical Health Not Good 9.0% 6.0%
Depression 18.6% 18.6%
Smoking 12.5% 7.8%
Binge Drinking 19.9% 20.8%
Obesity 28.3% 27.3%
Disability Percentage 9.0% 8.0%

Health Statistics Comparison: Tinley park vs Prairie village

  • More residents in Tinley park report poor mental health at 13.7% compared to 11.5% in Prairie village.
  • Both cities have comparable depression rates at 18.6%.
  • Smoking is more prevalent in Tinley park at 12.5% compared to 7.8% in Prairie village.
  • More residents engage in binge drinking in Prairie village at 20.8% compared to 19.9% in Tinley park.
  • Obesity rates are higher in Tinley park at 28.3% compared to 27.3% in Prairie village.
  • Disability percentages are higher in Tinley park at 9.0% compared to 8.0% in Prairie village.

Education Levels

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

Education Level Tinley park Prairie village
No Schooling 0.5% (275) 0.2% (47)
High School Diploma 16.9% (9,199) 5.0% (1,136)
Less than High School 5.9% (3,208) 2.2% (515)
Bachelor's Degree and Higher 27.8% (15,085) 51.7% (11,869)

Education Levels Comparison: Tinley park vs Prairie village

  • A higher percentage of residents in Tinley park have no formal schooling at 0.5% compared to 0.2% in Prairie village.
  • A higher percentage of residents in Tinley park hold a high school diploma at 16.9% compared to 5.0% in Prairie village.
  • More residents in Tinley park have less than a high school education at 5.9% compared to 2.2% in Prairie village.
  • In Prairie village, a larger share of residents have a bachelor's degree or higher at 51.7% compared to 27.8% in Tinley park.

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.