Demographics details for Park forest, IL vs Eddyville, OR

Population Overview

Compare main population characteristics in Park forest, IL vs Eddyville, OR.

Data Park forest Eddyville
Population 20,954 942
Median Age 37.4 years 54.6 years
Median Income $58,907 $98,174
Married Families 25.0% 37.0%
Poverty Level 13% 12%
Unemployment Rate 8.9 4.5

Population Comparison: Park forest vs Eddyville

  • In Park forest, the population is higher at 20,954, compared to 942 in Eddyville.
  • The median age in Eddyville is higher at 54.6 years, compared to 37.4 years in Park forest.
  • Eddyville has a higher median income of $98,174, compared to $58,907 in Park forest.
  • In Eddyville, the percentage of married families is higher at 37.0%, compared to 25.0% in Park forest.
  • Park forest has a higher poverty level at 13% compared to 12% in Eddyville.
  • The unemployment rate in Park forest is higher at 8.9%, compared to 4.5% in Eddyville.

Demographics

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

Demographic Park forest Eddyville
Black 72 Data is updating
White 17 76
Asian Data is updating Data is updating
Hispanic 7 9
Two or More Races 3 15
American Indian 1 Data is updating

Demographics Comparison: Park forest vs Eddyville

  • A higher percentage of Black residents are in Park forest at 72% compared to 0% in Eddyville.
  • The percentage of White residents is higher in Eddyville at 76% compared to 17% in Park forest.
  • Both Park forest and Eddyville have the same percentage of Asian residents at 0%.
  • Eddyville has a higher percentage of Hispanic residents at 9%, compared to 7% in Park forest.
  • The percentage of residents identifying as two or more races is higher in Eddyville at 15%, compared to 3% in Park forest.
  • A greater percentage of American Indian residents live in Park forest at 1% compared to 0% in Eddyville.

Health Statistics

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

Health Metric Park forest Eddyville
Mental Health Not Good 15.5% Data is updating%
Physical Health Not Good 11.2% Data is updating%
Depression 16.9% Data is updating%
Smoking 15.9% Data is updating%
Binge Drinking 15.8% Data is updating%
Obesity 37.2% Data is updating%
Disability Percentage 14.0% 17.0%

Health Statistics Comparison: Park forest vs Eddyville

  • More residents in Park forest report poor mental health at 15.5% compared to 0.0% in Eddyville.
  • Depression is more prevalent in Park forest at 16.9% compared to 0.0% in Eddyville.
  • Smoking is more prevalent in Park forest at 15.9% compared to 0.0% in Eddyville.
  • Binge drinking is more common in Park forest at 15.8% compared to 0.0% in Eddyville.
  • Obesity rates are higher in Park forest at 37.2% compared to 0.0% in Eddyville.
  • There is a higher percentage of disabled individuals in Eddyville at 17.0% 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 Eddyville
No Schooling 2.4% (503) 0.0% (Data is updating)
High School Diploma 13.4% (2,802) 17.7% (167)
Less than High School 8.5% (1,787) 8.1% (76)
Bachelor's Degree and Higher 17.4% (3,650) 16.0% (151)

Education Levels Comparison: Park forest vs Eddyville

  • A higher percentage of residents in Park forest have no formal schooling at 2.4% compared to 0.0% in Eddyville.
  • In Eddyville, the rate of residents with high school diplomas is higher at 17.7% compared to 13.4% in Park forest.
  • More residents in Park forest have less than a high school education at 8.5% compared to 8.1% in Eddyville.
  • A higher percentage of residents in Park forest hold a bachelor's degree or higher at 17.4% compared to 16.0% in Eddyville.

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.