Demographics details for Park forest, IL vs Marshall, AR

Population Overview

Compare main population characteristics in Park forest, IL vs Marshall, AR.

Data Park forest Marshall
Population 20,954 1,339
Median Age 37.4 years 52.3 years
Median Income $58,907 $28,290
Married Families 25.0% 33.0%
Poverty Level 13% 16%
Unemployment Rate 8.9 4.2

Population Comparison: Park forest vs Marshall

  • In Park forest, the population is higher at 20,954, compared to 1,339 in Marshall.
  • The median age in Marshall is higher at 52.3 years, compared to 37.4 years in Park forest.
  • Park forest has a higher median income of $58,907 compared to $28,290 in Marshall.
  • In Marshall, the percentage of married families is higher at 33.0%, compared to 25.0% in Park forest.
  • The poverty level is higher in Marshall at 16%, compared to 13% in Park forest.
  • The unemployment rate in Park forest is higher at 8.9%, compared to 4.2% in Marshall.

Demographics

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

Demographic Park forest Marshall
Black 72 Data is updating
White 17 84
Asian Data is updating Data is updating
Hispanic 7 3
Two or More Races 3 12
American Indian 1 1

Demographics Comparison: Park forest vs Marshall

  • A higher percentage of Black residents are in Park forest at 72% compared to 0% in Marshall.
  • The percentage of White residents is higher in Marshall at 84% compared to 17% in Park forest.
  • Both Park forest and Marshall have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Park forest at 7% compared to 3% in Marshall.
  • The percentage of residents identifying as two or more races is higher in Marshall at 12%, compared to 3% in Park forest.
  • The percentage of American Indian residents is the same in both Park forest and Marshall at 1%.

Health Statistics

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

Health Metric Park forest Marshall
Mental Health Not Good 15.5% 21.7%
Physical Health Not Good 11.2% 16.2%
Depression 16.9% 29.8%
Smoking 15.9% 27.2%
Binge Drinking 15.8% 14.7%
Obesity 37.2% 39.2%
Disability Percentage 14.0% 30.0%

Health Statistics Comparison: Park forest vs Marshall

  • In Marshall, a higher percentage report poor mental health at 21.7% compared to 15.5% in Park forest.
  • Higher depression rates are seen in Marshall at 29.8% versus 16.9% in Park forest.
  • Marshall has a higher smoking rate at 27.2% compared to 15.9% in Park forest.
  • Binge drinking is more common in Park forest at 15.8% compared to 14.7% in Marshall.
  • Marshall has higher obesity rates at 39.2% compared to 37.2% in Park forest.
  • There is a higher percentage of disabled individuals in Marshall at 30.0% 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 Marshall
No Schooling 2.4% (503) 0.9% (12)
High School Diploma 13.4% (2,802) 27.9% (373)
Less than High School 8.5% (1,787) 32.4% (434)
Bachelor's Degree and Higher 17.4% (3,650) 11.7% (156)

Education Levels Comparison: Park forest vs Marshall

  • A higher percentage of residents in Park forest have no formal schooling at 2.4% compared to 0.9% in Marshall.
  • In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 13.4% in Park forest.
  • The percentage of residents with less than a high school education is higher in Marshall at 32.4%, 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 11.7% in Marshall.

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.