Demographics details for Irwin, OH vs Mount juliet, TN

Population Overview

Compare main population characteristics in Irwin, OH vs Mount juliet, TN.

Data Irwin Mount juliet
Population 763 42,548
Median Age 35.0 years 39.2 years
Median Income $60,000 $108,066
Married Families 40.0% 45.0%
Poverty Level 10% 5%
Unemployment Rate 5.0 2.8

Population Comparison: Irwin vs Mount juliet

  • The population in Mount juliet is higher at 42,548, compared to 763 in Irwin.
  • The median age in Mount juliet is higher at 39.2 years, compared to 35.0 years in Irwin.
  • Mount juliet has a higher median income of $108,066, compared to $60,000 in Irwin.
  • In Mount juliet, the percentage of married families is higher at 45.0%, compared to 40.0% in Irwin.
  • Irwin has a higher poverty level at 10% compared to 5% in Mount juliet.
  • The unemployment rate in Irwin is higher at 5.0%, compared to 2.8% in Mount juliet.

Demographics

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

Demographic Irwin Mount juliet
Black Data is updating 7
White 95 79
Asian 1 4
Hispanic 2 6
Two or More Races 2 4
American Indian Data is updating Data is updating

Demographics Comparison: Irwin vs Mount juliet

  • In Mount juliet, the percentage of Black residents is higher at 7% compared to 0% in Irwin.
  • Irwin has a higher percentage of White residents at 95% compared to 79% in Mount juliet.
  • In Mount juliet, the Asian population stands at 4%, greater than 1% in Irwin.
  • Mount juliet has a higher percentage of Hispanic residents at 6%, compared to 2% in Irwin.
  • The percentage of residents identifying as two or more races is higher in Mount juliet at 4%, compared to 2% in Irwin.
  • The percentage of American Indian residents is the same in both Irwin and Mount juliet at 0%.

Health Statistics

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

Health Metric Irwin Mount juliet
Mental Health Not Good Data is updating% 16.0%
Physical Health Not Good Data is updating% 10.0%
Depression Data is updating% 25.7%
Smoking Data is updating% 15.2%
Binge Drinking Data is updating% 16.8%
Obesity Data is updating% 29.9%
Disability Percentage Data is updating% 7.0%

Health Statistics Comparison: Irwin vs Mount juliet

  • In Mount juliet, a higher percentage report poor mental health at 16.0% compared to 0.0% in Irwin.
  • Higher depression rates are seen in Mount juliet at 25.7% versus 0.0% in Irwin.
  • Mount juliet has a higher smoking rate at 15.2% compared to 0.0% in Irwin.
  • More residents engage in binge drinking in Mount juliet at 16.8% compared to 0.0% in Irwin.
  • Mount juliet has higher obesity rates at 29.9% compared to 0.0% in Irwin.
  • There is a higher percentage of disabled individuals in Mount juliet at 7.0% compared to 0.0% in Irwin.

Education Levels

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

Education Level Irwin Mount juliet
No Schooling 0.0% (Data is updating) 0.4% (173)
High School Diploma 0.0% (Data is updating) 10.4% (4,408)
Less than High School 0.0% (Data is updating) 3.9% (1,653)
Bachelor's Degree and Higher 0.0% (Data is updating) 29.4% (12,510)

Education Levels Comparison: Irwin vs Mount juliet

  • In Mount juliet, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Irwin.
  • In Mount juliet, the rate of residents with high school diplomas is higher at 10.4% compared to 0.0% in Irwin.
  • The percentage of residents with less than a high school education is higher in Mount juliet at 3.9%, compared to 0.0% in Irwin.
  • In Mount juliet, a larger share of residents have a bachelor's degree or higher at 29.4% compared to 0.0% in Irwin.

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.