Demographics details for Mount clemens, MI vs Orland park, IL

Population Overview

Compare main population characteristics in Mount clemens, MI vs Orland park, IL.

Data Mount clemens Orland park
Population 15,409 57,511
Median Age 40.2 years 46.6 years
Median Income $55,154 $97,365
Married Families 30.0% 48.0%
Poverty Level 12% 6%
Unemployment Rate 3.5 5.4

Population Comparison: Mount clemens vs Orland park

  • The population in Orland park is higher at 57,511, compared to 15,409 in Mount clemens.
  • The median age in Orland park is higher at 46.6 years, compared to 40.2 years in Mount clemens.
  • Orland park has a higher median income of $97,365, compared to $55,154 in Mount clemens.
  • In Orland park, the percentage of married families is higher at 48.0%, compared to 30.0% in Mount clemens.
  • Mount clemens has a higher poverty level at 12% compared to 6% in Orland park.
  • Orland park has a higher unemployment rate at 5.4% compared to 3.5% in Mount clemens.

Demographics

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

Demographic Mount clemens Orland park
Black 24 4
White 65 76
Asian Data is updating 5
Hispanic 3 10
Two or More Races 8 5
American Indian Data is updating Data is updating

Demographics Comparison: Mount clemens vs Orland park

  • A higher percentage of Black residents are in Mount clemens at 24% compared to 4% in Orland park.
  • The percentage of White residents is higher in Orland park at 76% compared to 65% in Mount clemens.
  • In Orland park, the Asian population stands at 5%, greater than 0% in Mount clemens.
  • Orland park has a higher percentage of Hispanic residents at 10%, compared to 3% in Mount clemens.
  • More residents identify as two or more races in Mount clemens at 8% compared to 5% in Orland park.
  • The percentage of American Indian residents is the same in both Mount clemens and Orland park at 0%.

Health Statistics

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

Health Metric Mount clemens Orland park
Mental Health Not Good 19.9% 13.2%
Physical Health Not Good 14.1% 8.6%
Depression 25.8% 18.2%
Smoking 25.2% 11.7%
Binge Drinking 16.9% 20.2%
Obesity 42.7% 26.8%
Disability Percentage 14.0% 11.0%

Health Statistics Comparison: Mount clemens vs Orland park

  • More residents in Mount clemens report poor mental health at 19.9% compared to 13.2% in Orland park.
  • Depression is more prevalent in Mount clemens at 25.8% compared to 18.2% in Orland park.
  • Smoking is more prevalent in Mount clemens at 25.2% compared to 11.7% in Orland park.
  • More residents engage in binge drinking in Orland park at 20.2% compared to 16.9% in Mount clemens.
  • Obesity rates are higher in Mount clemens at 42.7% compared to 26.8% in Orland park.
  • Disability percentages are higher in Mount clemens at 14.0% 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 Mount clemens Orland park
No Schooling 1.4% (222) 0.5% (297)
High School Diploma 22.3% (3,437) 16.1% (9,262)
Less than High School 16.6% (2,554) 8.3% (4,763)
Bachelor's Degree and Higher 12.1% (1,867) 31.9% (18,372)

Education Levels Comparison: Mount clemens vs Orland park

  • A higher percentage of residents in Mount clemens have no formal schooling at 1.4% compared to 0.5% in Orland park.
  • A higher percentage of residents in Mount clemens hold a high school diploma at 22.3% compared to 16.1% in Orland park.
  • More residents in Mount clemens have less than a high school education at 16.6% compared to 8.3% in Orland park.
  • In Orland park, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 12.1% in Mount clemens.

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.