Demographics details for Mount clemens, MI vs Waterbury, CT

Population Overview

Compare main population characteristics in Mount clemens, MI vs Waterbury, CT.

Data Mount clemens Waterbury
Population 15,409 115,016
Median Age 40.2 years 36.7 years
Median Income $55,154 $51,451
Married Families 30.0% 28.0%
Poverty Level 12% 13%
Unemployment Rate 3.5 4.5

Population Comparison: Mount clemens vs Waterbury

  • The population in Waterbury is higher at 115,016, compared to 15,409 in Mount clemens.
  • Residents in Mount clemens have a higher median age of 40.2 years compared to 36.7 years in Waterbury.
  • Mount clemens has a higher median income of $55,154 compared to $51,451 in Waterbury.
  • A higher percentage of married families is found in Mount clemens at 30.0% compared to 28.0% in Waterbury.
  • The poverty level is higher in Waterbury at 13%, compared to 12% in Mount clemens.
  • Waterbury has a higher unemployment rate at 4.5% compared to 3.5% in Mount clemens.

Demographics

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

Demographic Mount clemens Waterbury
Black 24 28
White 65 22
Asian Data is updating 3
Hispanic 3 36
Two or More Races 8 11
American Indian Data is updating Data is updating

Demographics Comparison: Mount clemens vs Waterbury

  • In Waterbury, the percentage of Black residents is higher at 28% compared to 24% in Mount clemens.
  • Mount clemens has a higher percentage of White residents at 65% compared to 22% in Waterbury.
  • In Waterbury, the Asian population stands at 3%, greater than 0% in Mount clemens.
  • Waterbury has a higher percentage of Hispanic residents at 36%, compared to 3% in Mount clemens.
  • The percentage of residents identifying as two or more races is higher in Waterbury at 11%, compared to 8% in Mount clemens.
  • The percentage of American Indian residents is the same in both Mount clemens and Waterbury at 0%.

Health Statistics

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

Health Metric Mount clemens Waterbury
Mental Health Not Good 19.9% 17.3%
Physical Health Not Good 14.1% 13.3%
Depression 25.8% 22.0%
Smoking 25.2% 21.8%
Binge Drinking 16.9% 13.7%
Obesity 42.7% 37.1%
Disability Percentage 14.0% 16.0%

Health Statistics Comparison: Mount clemens vs Waterbury

  • More residents in Mount clemens report poor mental health at 19.9% compared to 17.3% in Waterbury.
  • Depression is more prevalent in Mount clemens at 25.8% compared to 22.0% in Waterbury.
  • Smoking is more prevalent in Mount clemens at 25.2% compared to 21.8% in Waterbury.
  • Binge drinking is more common in Mount clemens at 16.9% compared to 13.7% in Waterbury.
  • Obesity rates are higher in Mount clemens at 42.7% compared to 37.1% in Waterbury.
  • There is a higher percentage of disabled individuals in Waterbury at 16.0% compared to 14.0% in Mount clemens.

Education Levels

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

Education Level Mount clemens Waterbury
No Schooling 1.4% (222) 1.9% (2,221)
High School Diploma 22.3% (3,437) 21.4% (24,629)
Less than High School 16.6% (2,554) 20.7% (23,816)
Bachelor's Degree and Higher 12.1% (1,867) 11.1% (12,745)

Education Levels Comparison: Mount clemens vs Waterbury

  • In Waterbury, a larger percentage of residents lack formal schooling at 1.9% compared to 1.4% in Mount clemens.
  • A higher percentage of residents in Mount clemens hold a high school diploma at 22.3% compared to 21.4% in Waterbury.
  • The percentage of residents with less than a high school education is higher in Waterbury at 20.7%, compared to 16.6% in Mount clemens.
  • A higher percentage of residents in Mount clemens hold a bachelor's degree or higher at 12.1% compared to 11.1% in Waterbury.

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.