Demographics details for Park forest, IL vs Fall branch, TN

Population Overview

Compare main population characteristics in Park forest, IL vs Fall branch, TN.

Data Park forest Fall branch
Population 20,954 984
Median Age 37.4 years 48.9 years
Median Income $58,907 $41,884
Married Families 25.0% 54.0%
Poverty Level 13% 11%
Unemployment Rate 8.9 3.5

Population Comparison: Park forest vs Fall branch

  • In Park forest, the population is higher at 20,954, compared to 984 in Fall branch.
  • The median age in Fall branch is higher at 48.9 years, compared to 37.4 years in Park forest.
  • Park forest has a higher median income of $58,907 compared to $41,884 in Fall branch.
  • In Fall branch, the percentage of married families is higher at 54.0%, compared to 25.0% in Park forest.
  • Park forest has a higher poverty level at 13% compared to 11% in Fall branch.
  • The unemployment rate in Park forest is higher at 8.9%, compared to 3.5% in Fall branch.

Demographics

Demographics Park forest vs Fall branch provide insight into the diversity of the communities to compare.

Demographic Park forest Fall branch
Black 72 Data is updating
White 17 100
Asian Data is updating Data is updating
Hispanic 7 Data is updating
Two or More Races 3 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Park forest vs Fall branch

  • A higher percentage of Black residents are in Park forest at 72% compared to 0% in Fall branch.
  • The percentage of White residents is higher in Fall branch at 100% compared to 17% in Park forest.
  • Both Park forest and Fall branch have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Park forest at 7% compared to 0% in Fall branch.
  • More residents identify as two or more races in Park forest at 3% compared to 0% in Fall branch.
  • A greater percentage of American Indian residents live in Park forest at 1% compared to 0% in Fall branch.

Health Statistics

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

Health Metric Park forest Fall branch
Mental Health Not Good 15.5% 17.9%
Physical Health Not Good 11.2% 11.7%
Depression 16.9% 28.3%
Smoking 15.9% 19.7%
Binge Drinking 15.8% 16.7%
Obesity 37.2% 28.9%
Disability Percentage 14.0% 23.0%

Health Statistics Comparison: Park forest vs Fall branch

  • In Fall branch, a higher percentage report poor mental health at 17.9% compared to 15.5% in Park forest.
  • Higher depression rates are seen in Fall branch at 28.3% versus 16.9% in Park forest.
  • Fall branch has a higher smoking rate at 19.7% compared to 15.9% in Park forest.
  • More residents engage in binge drinking in Fall branch at 16.7% compared to 15.8% in Park forest.
  • Obesity rates are higher in Park forest at 37.2% compared to 28.9% in Fall branch.
  • There is a higher percentage of disabled individuals in Fall branch at 23.0% compared to 14.0% in Park forest.

Education Levels

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

Education Level Park forest Fall branch
No Schooling 2.4% (503) 1.7% (17)
High School Diploma 13.4% (2,802) 24.5% (241)
Less than High School 8.5% (1,787) 19.7% (194)
Bachelor's Degree and Higher 17.4% (3,650) 14.4% (142)

Education Levels Comparison: Park forest vs Fall branch

  • A higher percentage of residents in Park forest have no formal schooling at 2.4% compared to 1.7% in Fall branch.
  • In Fall branch, the rate of residents with high school diplomas is higher at 24.5% compared to 13.4% in Park forest.
  • The percentage of residents with less than a high school education is higher in Fall branch at 19.7%, compared to 8.5% in Park forest.
  • A higher percentage of residents in Park forest hold a bachelor's degree or higher at 17.4% compared to 14.4% in Fall branch.

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.