Demographics details for Richmond, CA vs Orland park, IL

Population Overview

Compare main population characteristics in Richmond, CA vs Orland park, IL.

Data Richmond Orland park
Population 216,288 57,511
Median Age 36.0 years 46.6 years
Median Income $73,000 $97,365
Married Families 40000.0% 48.0%
Poverty Level Data is updating 6%
Unemployment Rate 0.08 5.4

Population Comparison: Richmond vs Orland park

  • In Richmond, the population is higher at 216,288, compared to 57,511 in Orland park.
  • The median age in Orland park is higher at 46.6 years, compared to 36.0 years in Richmond.
  • Orland park has a higher median income of $97,365, compared to $73,000 in Richmond.
  • A higher percentage of married families is found in Richmond at 40000.0% compared to 48.0% in Orland park.
  • The poverty level is higher in Orland park at 6%, compared to 0% in Richmond.
  • Orland park has a higher unemployment rate at 5.4% compared to 0.08% in Richmond.

Demographics

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

Demographic Richmond Orland park
Black 30 4
White 36 76
Asian 14 5
Hispanic 20 10
Two or More Races 5 5
American Indian Data is updating Data is updating

Demographics Comparison: Richmond vs Orland park

  • A higher percentage of Black residents are in Richmond at 30% compared to 4% in Orland park.
  • The percentage of White residents is higher in Orland park at 76% compared to 36% in Richmond.
  • The Asian population is larger in Richmond at 14% compared to 5% in Orland park.
  • The Hispanic community is larger in Richmond at 20% compared to 10% in Orland park.
  • Both Richmond and Orland park have the same percentage of residents identifying as two or more races at 5%.
  • The percentage of American Indian residents is the same in both Richmond and Orland park at 0%.

Health Statistics

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

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

Health Statistics Comparison: Richmond vs Orland park

  • In Orland park, a higher percentage report poor mental health at 13.2% compared to 0.0% in Richmond.
  • Higher depression rates are seen in Orland park at 18.2% versus 0.0% in Richmond.
  • Orland park has a higher smoking rate at 11.7% compared to 0.0% in Richmond.
  • More residents engage in binge drinking in Orland park at 20.2% compared to 0.0% in Richmond.
  • Orland park has higher obesity rates at 26.8% compared to 0.0% in Richmond.
  • There is a higher percentage of disabled individuals in Orland park at 11.0% compared to 0.0% in Richmond.

Education Levels

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

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

Education Levels Comparison: Richmond vs Orland park

  • In Orland park, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Richmond.
  • In Orland park, the rate of residents with high school diplomas is higher at 16.1% compared to 0.0% in Richmond.
  • The percentage of residents with less than a high school education is higher in Orland park at 8.3%, compared to 0.0% in Richmond.
  • In Orland park, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 0.0% in Richmond.

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.