Demographics details for Lexington, KY vs Mountain home, ID

Population Overview

Compare main population characteristics in Lexington, KY vs Mountain home, ID.

Data Lexington Mountain home
Population 320,347 16,469
Median Age 35.2 years 31.3 years
Median Income $66,087 $53,108
Married Families 36.0% 36.0%
Poverty Level 11% 12%
Unemployment Rate 4.2 3.1

Population Comparison: Lexington vs Mountain home

  • In Lexington, the population is higher at 320,347, compared to 16,469 in Mountain home.
  • Residents in Lexington have a higher median age of 35.2 years compared to 31.3 years in Mountain home.
  • Lexington has a higher median income of $66,087 compared to $53,108 in Mountain home.
  • The percentage of married families is the same in both Lexington and Mountain home at 36.0%.
  • The poverty level is higher in Mountain home at 12%, compared to 11% in Lexington.
  • The unemployment rate in Lexington is higher at 4.2%, compared to 3.1% in Mountain home.

Demographics

Demographics Lexington vs Mountain home provide insight into the diversity of the communities to compare.

Demographic Lexington Mountain home
Black 15 2
White 68 69
Asian 4 4
Hispanic 7 14
Two or More Races 6 9
American Indian Data is updating 2

Demographics Comparison: Lexington vs Mountain home

  • A higher percentage of Black residents are in Lexington at 15% compared to 2% in Mountain home.
  • The percentage of White residents is higher in Mountain home at 69% compared to 68% in Lexington.
  • Both Lexington and Mountain home have the same percentage of Asian residents at 4%.
  • Mountain home has a higher percentage of Hispanic residents at 14%, compared to 7% in Lexington.
  • The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 6% in Lexington.
  • In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Lexington.

Health Statistics

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

Health Metric Lexington Mountain home
Mental Health Not Good 17.1% 16.9%
Physical Health Not Good 12.0% 12.6%
Depression 24.0% 22.4%
Smoking 17.0% 18.3%
Binge Drinking 15.9% 15.8%
Obesity 36.0% 36.1%
Disability Percentage 12.0% 18.0%

Health Statistics Comparison: Lexington vs Mountain home

  • More residents in Lexington report poor mental health at 17.1% compared to 16.9% in Mountain home.
  • Depression is more prevalent in Lexington at 24.0% compared to 22.4% in Mountain home.
  • Mountain home has a higher smoking rate at 18.3% compared to 17.0% in Lexington.
  • Binge drinking is more common in Lexington at 15.9% compared to 15.8% in Mountain home.
  • Mountain home has higher obesity rates at 36.1% compared to 36.0% in Lexington.
  • There is a higher percentage of disabled individuals in Mountain home at 18.0% compared to 12.0% in Lexington.

Education Levels

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

Education Level Lexington Mountain home
No Schooling 0.6% (2,032) 1.7% (273)
High School Diploma 9.9% (31,844) 16.3% (2,690)
Less than High School 8.7% (27,787) 12.8% (2,116)
Bachelor's Degree and Higher 30.4% (97,540) 10.4% (1,720)

Education Levels Comparison: Lexington vs Mountain home

  • In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.6% in Lexington.
  • In Mountain home, the rate of residents with high school diplomas is higher at 16.3% compared to 9.9% in Lexington.
  • The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, compared to 8.7% in Lexington.
  • A higher percentage of residents in Lexington hold a bachelor's degree or higher at 30.4% compared to 10.4% in Mountain home.

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.