Demographics details for Orland park, IL vs Eddyville, OR

Population Overview

Compare main population characteristics in Orland park, IL vs Eddyville, OR.

Data Orland park Eddyville
Population 57,511 942
Median Age 46.6 years 54.6 years
Median Income $97,365 $98,174
Married Families 48.0% 37.0%
Poverty Level 6% 12%
Unemployment Rate 5.4 4.5

Population Comparison: Orland park vs Eddyville

  • In Orland park, the population is higher at 57,511, compared to 942 in Eddyville.
  • The median age in Eddyville is higher at 54.6 years, compared to 46.6 years in Orland park.
  • Eddyville has a higher median income of $98,174, compared to $97,365 in Orland park.
  • A higher percentage of married families is found in Orland park at 48.0% compared to 37.0% in Eddyville.
  • The poverty level is higher in Eddyville at 12%, compared to 6% in Orland park.
  • The unemployment rate in Orland park is higher at 5.4%, compared to 4.5% in Eddyville.

Demographics

Demographics Orland park vs Eddyville provide insight into the diversity of the communities to compare.

Demographic Orland park Eddyville
Black 4 Data is updating
White 76 76
Asian 5 Data is updating
Hispanic 10 9
Two or More Races 5 15
American Indian Data is updating Data is updating

Demographics Comparison: Orland park vs Eddyville

  • A higher percentage of Black residents are in Orland park at 4% compared to 0% in Eddyville.
  • The percentage of White residents is the same in both Orland park and Eddyville at 76%.
  • The Asian population is larger in Orland park at 5% compared to 0% in Eddyville.
  • The Hispanic community is larger in Orland park at 10% compared to 9% in Eddyville.
  • The percentage of residents identifying as two or more races is higher in Eddyville at 15%, compared to 5% in Orland park.
  • The percentage of American Indian residents is the same in both Orland park and Eddyville at 0%.

Health Statistics

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

Health Metric Orland park Eddyville
Mental Health Not Good 13.2% Data is updating%
Physical Health Not Good 8.6% Data is updating%
Depression 18.2% Data is updating%
Smoking 11.7% Data is updating%
Binge Drinking 20.2% Data is updating%
Obesity 26.8% Data is updating%
Disability Percentage 11.0% 17.0%

Health Statistics Comparison: Orland park vs Eddyville

  • More residents in Orland park report poor mental health at 13.2% compared to 0.0% in Eddyville.
  • Depression is more prevalent in Orland park at 18.2% compared to 0.0% in Eddyville.
  • Smoking is more prevalent in Orland park at 11.7% compared to 0.0% in Eddyville.
  • Binge drinking is more common in Orland park at 20.2% compared to 0.0% in Eddyville.
  • Obesity rates are higher in Orland park at 26.8% compared to 0.0% in Eddyville.
  • There is a higher percentage of disabled individuals in Eddyville at 17.0% compared to 11.0% in Orland park.

Education Levels

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

Education Level Orland park Eddyville
No Schooling 0.5% (297) 0.0% (Data is updating)
High School Diploma 16.1% (9,262) 17.7% (167)
Less than High School 8.3% (4,763) 8.1% (76)
Bachelor's Degree and Higher 31.9% (18,372) 16.0% (151)

Education Levels Comparison: Orland park vs Eddyville

  • A higher percentage of residents in Orland park have no formal schooling at 0.5% compared to 0.0% in Eddyville.
  • In Eddyville, the rate of residents with high school diplomas is higher at 17.7% compared to 16.1% in Orland park.
  • More residents in Orland park have less than a high school education at 8.3% compared to 8.1% in Eddyville.
  • A higher percentage of residents in Orland park hold a bachelor's degree or higher at 31.9% 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.