Demographics details for Dearborn, MI vs Mount juliet, TN

Population Overview

Compare main population characteristics in Dearborn, MI vs Mount juliet, TN.

Data Dearborn Mount juliet
Population 107,710 42,548
Median Age 32.3 years 39.2 years
Median Income $64,600 $108,066
Married Families 38.0% 45.0%
Poverty Level 12% 5%
Unemployment Rate 4.1 2.8

Population Comparison: Dearborn vs Mount juliet

  • In Dearborn, the population is higher at 107,710, compared to 42,548 in Mount juliet.
  • The median age in Mount juliet is higher at 39.2 years, compared to 32.3 years in Dearborn.
  • Mount juliet has a higher median income of $108,066, compared to $64,600 in Dearborn.
  • In Mount juliet, the percentage of married families is higher at 45.0%, compared to 38.0% in Dearborn.
  • Dearborn has a higher poverty level at 12% compared to 5% in Mount juliet.
  • The unemployment rate in Dearborn is higher at 4.1%, compared to 2.8% in Mount juliet.

Demographics

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

Demographic Dearborn Mount juliet
Black 3 7
White 86 79
Asian 3 4
Hispanic 3 6
Two or More Races 5 4
American Indian Data is updating Data is updating

Demographics Comparison: Dearborn vs Mount juliet

  • In Mount juliet, the percentage of Black residents is higher at 7% compared to 3% in Dearborn.
  • Dearborn has a higher percentage of White residents at 86% compared to 79% in Mount juliet.
  • In Mount juliet, the Asian population stands at 4%, greater than 3% in Dearborn.
  • Mount juliet has a higher percentage of Hispanic residents at 6%, compared to 3% in Dearborn.
  • More residents identify as two or more races in Dearborn at 5% compared to 4% in Mount juliet.
  • The percentage of American Indian residents is the same in both Dearborn and Mount juliet at 0%.

Health Statistics

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

Health Metric Dearborn Mount juliet
Mental Health Not Good 19.4% 16.0%
Physical Health Not Good 13.7% 10.0%
Depression 26.6% 25.7%
Smoking 24.6% 15.2%
Binge Drinking 17.6% 16.8%
Obesity 34.2% 29.9%
Disability Percentage 11.0% 7.0%

Health Statistics Comparison: Dearborn vs Mount juliet

  • More residents in Dearborn report poor mental health at 19.4% compared to 16.0% in Mount juliet.
  • Depression is more prevalent in Dearborn at 26.6% compared to 25.7% in Mount juliet.
  • Smoking is more prevalent in Dearborn at 24.6% compared to 15.2% in Mount juliet.
  • Binge drinking is more common in Dearborn at 17.6% compared to 16.8% in Mount juliet.
  • Obesity rates are higher in Dearborn at 34.2% compared to 29.9% in Mount juliet.
  • Disability percentages are higher in Dearborn at 11.0% 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 Dearborn Mount juliet
No Schooling 2.8% (3,058) 0.4% (173)
High School Diploma 12.3% (13,249) 10.4% (4,408)
Less than High School 17.5% (18,849) 3.9% (1,653)
Bachelor's Degree and Higher 21.3% (22,938) 29.4% (12,510)

Education Levels Comparison: Dearborn vs Mount juliet

  • A higher percentage of residents in Dearborn have no formal schooling at 2.8% compared to 0.4% in Mount juliet.
  • A higher percentage of residents in Dearborn hold a high school diploma at 12.3% compared to 10.4% in Mount juliet.
  • More residents in Dearborn have less than a high school education at 17.5% compared to 3.9% in Mount juliet.
  • In Mount juliet, a larger share of residents have a bachelor's degree or higher at 29.4% compared to 21.3% in Dearborn.

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.