Demographics details for Waterman, IL vs Mount clemens, MI

Population Overview

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

Data Waterman Mount clemens
Population 1,427 15,409
Median Age 36.2 years 40.2 years
Median Income $87,292 $55,154
Married Families 50.0% 30.0%
Poverty Level 6% 12%
Unemployment Rate 4.1 3.5

Population Comparison: Waterman vs Mount clemens

  • The population in Mount clemens is higher at 15,409, compared to 1,427 in Waterman.
  • The median age in Mount clemens is higher at 40.2 years, compared to 36.2 years in Waterman.
  • Waterman has a higher median income of $87,292 compared to $55,154 in Mount clemens.
  • A higher percentage of married families is found in Waterman at 50.0% compared to 30.0% in Mount clemens.
  • The poverty level is higher in Mount clemens at 12%, compared to 6% in Waterman.
  • The unemployment rate in Waterman is higher at 4.1%, compared to 3.5% in Mount clemens.

Demographics

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

Demographic Waterman Mount clemens
Black 2 24
White 78 65
Asian 1 Data is updating
Hispanic 10 3
Two or More Races 9 8
American Indian Data is updating Data is updating

Demographics Comparison: Waterman vs Mount clemens

  • In Mount clemens, the percentage of Black residents is higher at 24% compared to 2% in Waterman.
  • Waterman has a higher percentage of White residents at 78% compared to 65% in Mount clemens.
  • The Asian population is larger in Waterman at 1% compared to 0% in Mount clemens.
  • The Hispanic community is larger in Waterman at 10% compared to 3% in Mount clemens.
  • More residents identify as two or more races in Waterman at 9% compared to 8% in Mount clemens.
  • The percentage of American Indian residents is the same in both Waterman and Mount clemens at 0%.

Health Statistics

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

Health Metric Waterman Mount clemens
Mental Health Not Good 16.0% 19.9%
Physical Health Not Good 10.4% 14.1%
Depression 21.6% 25.8%
Smoking 16.2% 25.2%
Binge Drinking 18.7% 16.9%
Obesity 36.4% 42.7%
Disability Percentage 10.0% 14.0%

Health Statistics Comparison: Waterman vs Mount clemens

  • In Mount clemens, a higher percentage report poor mental health at 19.9% compared to 16.0% in Waterman.
  • Higher depression rates are seen in Mount clemens at 25.8% versus 21.6% in Waterman.
  • Mount clemens has a higher smoking rate at 25.2% compared to 16.2% in Waterman.
  • Binge drinking is more common in Waterman at 18.7% compared to 16.9% in Mount clemens.
  • Mount clemens has higher obesity rates at 42.7% compared to 36.4% in Waterman.
  • There is a higher percentage of disabled individuals in Mount clemens at 14.0% compared to 10.0% in Waterman.

Education Levels

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

Education Level Waterman Mount clemens
No Schooling 0.0% (Data is updating) 1.4% (222)
High School Diploma 22.6% (323) 22.3% (3,437)
Less than High School 8.5% (122) 16.6% (2,554)
Bachelor's Degree and Higher 15.5% (221) 12.1% (1,867)

Education Levels Comparison: Waterman vs Mount clemens

  • In Mount clemens, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Waterman.
  • A higher percentage of residents in Waterman hold a high school diploma at 22.6% compared to 22.3% in Mount clemens.
  • The percentage of residents with less than a high school education is higher in Mount clemens at 16.6%, compared to 8.5% in Waterman.
  • A higher percentage of residents in Waterman hold a bachelor's degree or higher at 15.5% 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.