Demographics details for Mount juliet, TN vs Hickman, KY

Population Overview

Compare main population characteristics in Mount juliet, TN vs Hickman, KY.

Data Mount juliet Hickman
Population 42,548 4,422
Median Age 39.2 years 46.6 years
Median Income $108,066 $68,589
Married Families 45.0% 41.0%
Poverty Level 5% 12%
Unemployment Rate 2.8 5.7

Population Comparison: Mount juliet vs Hickman

  • In Mount juliet, the population is higher at 42,548, compared to 4,422 in Hickman.
  • The median age in Hickman is higher at 46.6 years, compared to 39.2 years in Mount juliet.
  • Mount juliet has a higher median income of $108,066 compared to $68,589 in Hickman.
  • A higher percentage of married families is found in Mount juliet at 45.0% compared to 41.0% in Hickman.
  • The poverty level is higher in Hickman at 12%, compared to 5% in Mount juliet.
  • Hickman has a higher unemployment rate at 5.7% compared to 2.8% in Mount juliet.

Demographics

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

Demographic Mount juliet Hickman
Black 7 10
White 79 85
Asian 4 Data is updating
Hispanic 6 2
Two or More Races 4 3
American Indian Data is updating Data is updating

Demographics Comparison: Mount juliet vs Hickman

  • In Hickman, the percentage of Black residents is higher at 10% compared to 7% in Mount juliet.
  • The percentage of White residents is higher in Hickman at 85% compared to 79% in Mount juliet.
  • The Asian population is larger in Mount juliet at 4% compared to 0% in Hickman.
  • The Hispanic community is larger in Mount juliet at 6% compared to 2% in Hickman.
  • More residents identify as two or more races in Mount juliet at 4% compared to 3% in Hickman.
  • The percentage of American Indian residents is the same in both Mount juliet and Hickman at 0%.

Health Statistics

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

Health Metric Mount juliet Hickman
Mental Health Not Good 16.0% 19.6%
Physical Health Not Good 10.0% 14.9%
Depression 25.7% 27.9%
Smoking 15.2% 23.5%
Binge Drinking 16.8% 14.4%
Obesity 29.9% 38.9%
Disability Percentage 7.0% 20.0%

Health Statistics Comparison: Mount juliet vs Hickman

  • In Hickman, a higher percentage report poor mental health at 19.6% compared to 16.0% in Mount juliet.
  • Higher depression rates are seen in Hickman at 27.9% versus 25.7% in Mount juliet.
  • Hickman has a higher smoking rate at 23.5% compared to 15.2% in Mount juliet.
  • Binge drinking is more common in Mount juliet at 16.8% compared to 14.4% in Hickman.
  • Hickman has higher obesity rates at 38.9% compared to 29.9% in Mount juliet.
  • There is a higher percentage of disabled individuals in Hickman at 20.0% 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 Hickman
No Schooling 0.4% (173) 0.2% (11)
High School Diploma 10.4% (4,408) 23.3% (1,029)
Less than High School 3.9% (1,653) 15.5% (685)
Bachelor's Degree and Higher 29.4% (12,510) 16.5% (728)

Education Levels Comparison: Mount juliet vs Hickman

  • A higher percentage of residents in Mount juliet have no formal schooling at 0.4% compared to 0.2% in Hickman.
  • In Hickman, the rate of residents with high school diplomas is higher at 23.3% compared to 10.4% in Mount juliet.
  • The percentage of residents with less than a high school education is higher in Hickman at 15.5%, 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 16.5% in Hickman.

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.