Demographics details for Waterman, IL vs Sterling heights, MI

Population Overview

Compare main population characteristics in Waterman, IL vs Sterling heights, MI.

Data Waterman Sterling heights
Population 1,427 132,567
Median Age 36.2 years 41.2 years
Median Income $87,292 $75,381
Married Families 50.0% 45.0%
Poverty Level 6% 8%
Unemployment Rate 4.1 4.7

Population Comparison: Waterman vs Sterling heights

  • The population in Sterling heights is higher at 132,567, compared to 1,427 in Waterman.
  • The median age in Sterling heights is higher at 41.2 years, compared to 36.2 years in Waterman.
  • Waterman has a higher median income of $87,292 compared to $75,381 in Sterling heights.
  • A higher percentage of married families is found in Waterman at 50.0% compared to 45.0% in Sterling heights.
  • The poverty level is higher in Sterling heights at 8%, compared to 6% in Waterman.
  • Sterling heights has a higher unemployment rate at 4.7% compared to 4.1% in Waterman.

Demographics

Demographics Waterman vs Sterling heights provide insight into the diversity of the communities to compare.

Demographic Waterman Sterling heights
Black 2 6
White 78 79
Asian 1 9
Hispanic 10 2
Two or More Races 9 4
American Indian Data is updating Data is updating

Demographics Comparison: Waterman vs Sterling heights

  • In Sterling heights, the percentage of Black residents is higher at 6% compared to 2% in Waterman.
  • The percentage of White residents is higher in Sterling heights at 79% compared to 78% in Waterman.
  • In Sterling heights, the Asian population stands at 9%, greater than 1% in Waterman.
  • The Hispanic community is larger in Waterman at 10% compared to 2% in Sterling heights.
  • More residents identify as two or more races in Waterman at 9% compared to 4% in Sterling heights.
  • The percentage of American Indian residents is the same in both Waterman and Sterling heights at 0%.

Health Statistics

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

Health Metric Waterman Sterling heights
Mental Health Not Good 16.0% 17.8%
Physical Health Not Good 10.4% 11.4%
Depression 21.6% 25.5%
Smoking 16.2% 19.8%
Binge Drinking 18.7% 17.7%
Obesity 36.4% 36.6%
Disability Percentage 10.0% 13.0%

Health Statistics Comparison: Waterman vs Sterling heights

  • In Sterling heights, a higher percentage report poor mental health at 17.8% compared to 16.0% in Waterman.
  • Higher depression rates are seen in Sterling heights at 25.5% versus 21.6% in Waterman.
  • Sterling heights has a higher smoking rate at 19.8% compared to 16.2% in Waterman.
  • Binge drinking is more common in Waterman at 18.7% compared to 17.7% in Sterling heights.
  • Sterling heights has higher obesity rates at 36.6% compared to 36.4% in Waterman.
  • There is a higher percentage of disabled individuals in Sterling heights at 13.0% 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 Sterling heights
No Schooling 0.0% (Data is updating) 2.4% (3,134)
High School Diploma 22.6% (323) 18.8% (24,937)
Less than High School 8.5% (122) 16.6% (22,008)
Bachelor's Degree and Higher 15.5% (221) 22.3% (29,518)

Education Levels Comparison: Waterman vs Sterling heights

  • In Sterling heights, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Waterman.
  • A higher percentage of residents in Waterman hold a high school diploma at 22.6% compared to 18.8% in Sterling heights.
  • The percentage of residents with less than a high school education is higher in Sterling heights at 16.6%, compared to 8.5% in Waterman.
  • In Sterling heights, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 15.5% in Waterman.

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.