Demographics details for Park forest, IL vs Spring valley, NY

Population Overview

Compare main population characteristics in Park forest, IL vs Spring valley, NY.

Data Park forest Spring valley
Population 20,954 32,884
Median Age 37.4 years 27.5 years
Median Income $58,907 $50,749
Married Families 25.0% 32.0%
Poverty Level 13% 10%
Unemployment Rate 8.9 3.2

Population Comparison: Park forest vs Spring valley

  • The population in Spring valley is higher at 32,884, compared to 20,954 in Park forest.
  • Residents in Park forest have a higher median age of 37.4 years compared to 27.5 years in Spring valley.
  • Park forest has a higher median income of $58,907 compared to $50,749 in Spring valley.
  • In Spring valley, the percentage of married families is higher at 32.0%, compared to 25.0% in Park forest.
  • Park forest has a higher poverty level at 13% compared to 10% in Spring valley.
  • The unemployment rate in Park forest is higher at 8.9%, compared to 3.2% in Spring valley.

Demographics

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

Demographic Park forest Spring valley
Black 72 32
White 17 31
Asian Data is updating 3
Hispanic 7 29
Two or More Races 3 5
American Indian 1 Data is updating

Demographics Comparison: Park forest vs Spring valley

  • A higher percentage of Black residents are in Park forest at 72% compared to 32% in Spring valley.
  • The percentage of White residents is higher in Spring valley at 31% compared to 17% in Park forest.
  • In Spring valley, the Asian population stands at 3%, greater than 0% in Park forest.
  • Spring valley has a higher percentage of Hispanic residents at 29%, compared to 7% in Park forest.
  • The percentage of residents identifying as two or more races is higher in Spring valley at 5%, compared to 3% in Park forest.
  • A greater percentage of American Indian residents live in Park forest at 1% compared to 0% in Spring valley.

Health Statistics

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

Health Metric Park forest Spring valley
Mental Health Not Good 15.5% 16.7%
Physical Health Not Good 11.2% 13.9%
Depression 16.9% 18.7%
Smoking 15.9% 22.3%
Binge Drinking 15.8% 12.6%
Obesity 37.2% 34.3%
Disability Percentage 14.0% 8.0%

Health Statistics Comparison: Park forest vs Spring valley

  • In Spring valley, a higher percentage report poor mental health at 16.7% compared to 15.5% in Park forest.
  • Higher depression rates are seen in Spring valley at 18.7% versus 16.9% in Park forest.
  • Spring valley has a higher smoking rate at 22.3% compared to 15.9% in Park forest.
  • Binge drinking is more common in Park forest at 15.8% compared to 12.6% in Spring valley.
  • Obesity rates are higher in Park forest at 37.2% compared to 34.3% in Spring valley.
  • Disability percentages are higher in Park forest at 14.0% compared to 8.0% in Spring valley.

Education Levels

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

Education Level Park forest Spring valley
No Schooling 2.4% (503) 3.7% (1,224)
High School Diploma 13.4% (2,802) 13.1% (4,315)
Less than High School 8.5% (1,787) 20.5% (6,742)
Bachelor's Degree and Higher 17.4% (3,650) 10.0% (3,273)

Education Levels Comparison: Park forest vs Spring valley

  • In Spring valley, a larger percentage of residents lack formal schooling at 3.7% compared to 2.4% in Park forest.
  • A higher percentage of residents in Park forest hold a high school diploma at 13.4% compared to 13.1% in Spring valley.
  • The percentage of residents with less than a high school education is higher in Spring valley at 20.5%, 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 10.0% in Spring valley.

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.