Demographics details for Mount juliet, TN vs Canton, GA

Population Overview

Compare main population characteristics in Mount juliet, TN vs Canton, GA.

Data Mount juliet Canton
Population 42,548 35,809
Median Age 39.2 years 34.6 years
Median Income $108,066 $75,414
Married Families 45.0% 39.0%
Poverty Level 5% 9%
Unemployment Rate 2.8 3.2

Population Comparison: Mount juliet vs Canton

  • In Mount juliet, the population is higher at 42,548, compared to 35,809 in Canton.
  • Residents in Mount juliet have a higher median age of 39.2 years compared to 34.6 years in Canton.
  • Mount juliet has a higher median income of $108,066 compared to $75,414 in Canton.
  • A higher percentage of married families is found in Mount juliet at 45.0% compared to 39.0% in Canton.
  • The poverty level is higher in Canton at 9%, compared to 5% in Mount juliet.
  • Canton has a higher unemployment rate at 3.2% compared to 2.8% in Mount juliet.

Demographics

Demographics Mount juliet vs Canton provide insight into the diversity of the communities to compare.

Demographic Mount juliet Canton
Black 7 12
White 79 55
Asian 4 1
Hispanic 6 21
Two or More Races 4 8
American Indian Data is updating 3

Demographics Comparison: Mount juliet vs Canton

  • In Canton, the percentage of Black residents is higher at 12% compared to 7% in Mount juliet.
  • Mount juliet has a higher percentage of White residents at 79% compared to 55% in Canton.
  • The Asian population is larger in Mount juliet at 4% compared to 1% in Canton.
  • Canton has a higher percentage of Hispanic residents at 21%, compared to 6% in Mount juliet.
  • The percentage of residents identifying as two or more races is higher in Canton at 8%, compared to 4% in Mount juliet.
  • In Canton, the percentage of American Indian residents is higher at 3%, compared to 0% in Mount juliet.

Health Statistics

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

Health Metric Mount juliet Canton
Mental Health Not Good 16.0% 15.8%
Physical Health Not Good 10.0% 11.9%
Depression 25.7% 21.8%
Smoking 15.2% 16.0%
Binge Drinking 16.8% 15.8%
Obesity 29.9% 33.4%
Disability Percentage 7.0% 10.0%

Health Statistics Comparison: Mount juliet vs Canton

  • More residents in Mount juliet report poor mental health at 16.0% compared to 15.8% in Canton.
  • Depression is more prevalent in Mount juliet at 25.7% compared to 21.8% in Canton.
  • Canton has a higher smoking rate at 16.0% compared to 15.2% in Mount juliet.
  • Binge drinking is more common in Mount juliet at 16.8% compared to 15.8% in Canton.
  • Canton has higher obesity rates at 33.4% compared to 29.9% in Mount juliet.
  • There is a higher percentage of disabled individuals in Canton at 10.0% compared to 7.0% in Mount juliet.

Education Levels

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

Education Level Mount juliet Canton
No Schooling 0.4% (173) 3.5% (1,250)
High School Diploma 10.4% (4,408) 10.1% (3,609)
Less than High School 3.9% (1,653) 18.0% (6,437)
Bachelor's Degree and Higher 29.4% (12,510) 19.7% (7,056)

Education Levels Comparison: Mount juliet vs Canton

  • In Canton, a larger percentage of residents lack formal schooling at 3.5% compared to 0.4% in Mount juliet.
  • A higher percentage of residents in Mount juliet hold a high school diploma at 10.4% compared to 10.1% in Canton.
  • The percentage of residents with less than a high school education is higher in Canton at 18.0%, compared to 3.9% in Mount juliet.
  • A higher percentage of residents in Mount juliet hold a bachelor's degree or higher at 29.4% compared to 19.7% in Canton.

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.