Demographics details for Fountain run, KY vs Mountain home, AR

Population Overview

Compare main population characteristics in Fountain run, KY vs Mountain home, AR.

Data Fountain run Mountain home
Population 221 13,150
Median Age 49.1 years 41.8 years
Median Income $38,750 $42,281
Married Families 62.0% 38.0%
Poverty Level 12% 14%
Unemployment Rate 3.2 3.5

Population Comparison: Fountain run vs Mountain home

  • The population in Mountain home is higher at 13,150, compared to 221 in Fountain run.
  • Residents in Fountain run have a higher median age of 49.1 years compared to 41.8 years in Mountain home.
  • Mountain home has a higher median income of $42,281, compared to $38,750 in Fountain run.
  • A higher percentage of married families is found in Fountain run at 62.0% compared to 38.0% in Mountain home.
  • The poverty level is higher in Mountain home at 14%, compared to 12% in Fountain run.
  • Mountain home has a higher unemployment rate at 3.5% compared to 3.2% in Fountain run.

Demographics

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

Demographic Fountain run Mountain home
Black 1 Data is updating
White 99 90
Asian Data is updating 1
Hispanic Data is updating 4
Two or More Races Data is updating 4
American Indian Data is updating 1

Demographics Comparison: Fountain run vs Mountain home

  • A higher percentage of Black residents are in Fountain run at 1% compared to 0% in Mountain home.
  • Fountain run has a higher percentage of White residents at 99% compared to 90% in Mountain home.
  • In Mountain home, the Asian population stands at 1%, greater than 0% in Fountain run.
  • Mountain home has a higher percentage of Hispanic residents at 4%, compared to 0% in Fountain run.
  • The percentage of residents identifying as two or more races is higher in Mountain home at 4%, compared to 0% in Fountain run.
  • In Mountain home, the percentage of American Indian residents is higher at 1%, compared to 0% in Fountain run.

Health Statistics

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

Health Metric Fountain run Mountain home
Mental Health Not Good 22.1% 19.2%
Physical Health Not Good 17.4% 12.9%
Depression 30.6% 28.5%
Smoking 29.1% 21.1%
Binge Drinking 14.2% 16.3%
Obesity 41.1% 34.3%
Disability Percentage 24.0% 22.0%

Health Statistics Comparison: Fountain run vs Mountain home

  • More residents in Fountain run report poor mental health at 22.1% compared to 19.2% in Mountain home.
  • Depression is more prevalent in Fountain run at 30.6% compared to 28.5% in Mountain home.
  • Smoking is more prevalent in Fountain run at 29.1% compared to 21.1% in Mountain home.
  • More residents engage in binge drinking in Mountain home at 16.3% compared to 14.2% in Fountain run.
  • Obesity rates are higher in Fountain run at 41.1% compared to 34.3% in Mountain home.
  • Disability percentages are higher in Fountain run at 24.0% compared to 22.0% in Mountain home.

Education Levels

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

Education Level Fountain run Mountain home
No Schooling 1.8% (4) 0.7% (87)
High School Diploma 42.1% (93) 16.9% (2,225)
Less than High School 48.9% (108) 14.2% (1,870)
Bachelor's Degree and Higher 10.9% (24) 15.0% (1,973)

Education Levels Comparison: Fountain run vs Mountain home

  • A higher percentage of residents in Fountain run have no formal schooling at 1.8% compared to 0.7% in Mountain home.
  • A higher percentage of residents in Fountain run hold a high school diploma at 42.1% compared to 16.9% in Mountain home.
  • More residents in Fountain run have less than a high school education at 48.9% compared to 14.2% in Mountain home.
  • In Mountain home, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 10.9% in Fountain run.

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.