Demographics details for Rensselaer, IN vs Park forest, IL

Population Overview

Compare main population characteristics in Rensselaer, IN vs Park forest, IL.

Data Rensselaer Park forest
Population 5,677 20,954
Median Age 37.3 years 37.4 years
Median Income $58,659 $58,907
Married Families 33.0% 25.0%
Poverty Level 8% 13%
Unemployment Rate 3.2 8.9

Population Comparison: Rensselaer vs Park forest

  • The population in Park forest is higher at 20,954, compared to 5,677 in Rensselaer.
  • The median age in Park forest is higher at 37.4 years, compared to 37.3 years in Rensselaer.
  • Park forest has a higher median income of $58,907, compared to $58,659 in Rensselaer.
  • A higher percentage of married families is found in Rensselaer at 33.0% compared to 25.0% in Park forest.
  • The poverty level is higher in Park forest at 13%, compared to 8% in Rensselaer.
  • Park forest has a higher unemployment rate at 8.9% compared to 3.2% in Rensselaer.

Demographics

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

Demographic Rensselaer Park forest
Black 1 72
White 86 17
Asian Data is updating Data is updating
Hispanic 7 7
Two or More Races 6 3
American Indian Data is updating 1

Demographics Comparison: Rensselaer vs Park forest

  • In Park forest, the percentage of Black residents is higher at 72% compared to 1% in Rensselaer.
  • Rensselaer has a higher percentage of White residents at 86% compared to 17% in Park forest.
  • Both Rensselaer and Park forest have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Rensselaer and Park forest at 7%.
  • More residents identify as two or more races in Rensselaer at 6% compared to 3% in Park forest.
  • In Park forest, the percentage of American Indian residents is higher at 1%, compared to 0% in Rensselaer.

Health Statistics

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

Health Metric Rensselaer Park forest
Mental Health Not Good 17.4% 15.5%
Physical Health Not Good 11.5% 11.2%
Depression 26.5% 16.9%
Smoking 20.1% 15.9%
Binge Drinking 18.0% 15.8%
Obesity 34.7% 37.2%
Disability Percentage 19.0% 14.0%

Health Statistics Comparison: Rensselaer vs Park forest

  • More residents in Rensselaer report poor mental health at 17.4% compared to 15.5% in Park forest.
  • Depression is more prevalent in Rensselaer at 26.5% compared to 16.9% in Park forest.
  • Smoking is more prevalent in Rensselaer at 20.1% compared to 15.9% in Park forest.
  • Binge drinking is more common in Rensselaer at 18.0% compared to 15.8% in Park forest.
  • Park forest has higher obesity rates at 37.2% compared to 34.7% in Rensselaer.
  • Disability percentages are higher in Rensselaer at 19.0% 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 Rensselaer Park forest
No Schooling 0.4% (23) 2.4% (503)
High School Diploma 21.3% (1,212) 13.4% (2,802)
Less than High School 14.1% (799) 8.5% (1,787)
Bachelor's Degree and Higher 11.8% (669) 17.4% (3,650)

Education Levels Comparison: Rensselaer vs Park forest

  • In Park forest, a larger percentage of residents lack formal schooling at 2.4% compared to 0.4% in Rensselaer.
  • A higher percentage of residents in Rensselaer hold a high school diploma at 21.3% compared to 13.4% in Park forest.
  • More residents in Rensselaer have less than a high school education at 14.1% compared to 8.5% in Park forest.
  • In Park forest, a larger share of residents have a bachelor's degree or higher at 17.4% compared to 11.8% in Rensselaer.

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.