Demographics details for Glen elder, KS vs Fountain run, KY

Population Overview

Compare main population characteristics in Glen elder, KS vs Fountain run, KY.

Data Glen elder Fountain run
Population 363 221
Median Age 42.7 years 49.1 years
Median Income $65,417 $38,750
Married Families 80.0% 62.0%
Poverty Level 10% 12%
Unemployment Rate 3.0 3.2

Population Comparison: Glen elder vs Fountain run

  • In Glen elder, the population is higher at 363, compared to 221 in Fountain run.
  • The median age in Fountain run is higher at 49.1 years, compared to 42.7 years in Glen elder.
  • Glen elder has a higher median income of $65,417 compared to $38,750 in Fountain run.
  • A higher percentage of married families is found in Glen elder at 80.0% compared to 62.0% in Fountain run.
  • The poverty level is higher in Fountain run at 12%, compared to 10% in Glen elder.
  • Fountain run has a higher unemployment rate at 3.2% compared to 3.0% in Glen elder.

Demographics

Demographics Glen elder vs Fountain run provide insight into the diversity of the communities to compare.

Demographic Glen elder Fountain run
Black Data is updating 1
White 86 99
Asian 2 Data is updating
Hispanic 7 Data is updating
Two or More Races 5 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Glen elder vs Fountain run

  • In Fountain run, the percentage of Black residents is higher at 1% compared to 0% in Glen elder.
  • The percentage of White residents is higher in Fountain run at 99% compared to 86% in Glen elder.
  • The Asian population is larger in Glen elder at 2% compared to 0% in Fountain run.
  • The Hispanic community is larger in Glen elder at 7% compared to 0% in Fountain run.
  • More residents identify as two or more races in Glen elder at 5% compared to 0% in Fountain run.
  • The percentage of American Indian residents is the same in both Glen elder and Fountain run at 0%.

Health Statistics

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

Health Metric Glen elder Fountain run
Mental Health Not Good 15.8% 22.1%
Physical Health Not Good 10.2% 17.4%
Depression 21.3% 30.6%
Smoking 17.7% 29.1%
Binge Drinking 19.5% 14.2%
Obesity 38.5% 41.1%
Disability Percentage 22.0% 24.0%

Health Statistics Comparison: Glen elder vs Fountain run

  • In Fountain run, a higher percentage report poor mental health at 22.1% compared to 15.8% in Glen elder.
  • Higher depression rates are seen in Fountain run at 30.6% versus 21.3% in Glen elder.
  • Fountain run has a higher smoking rate at 29.1% compared to 17.7% in Glen elder.
  • Binge drinking is more common in Glen elder at 19.5% compared to 14.2% in Fountain run.
  • Fountain run has higher obesity rates at 41.1% compared to 38.5% in Glen elder.
  • There is a higher percentage of disabled individuals in Fountain run at 24.0% compared to 22.0% in Glen elder.

Education Levels

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

Education Level Glen elder Fountain run
No Schooling 0.6% (2) 1.8% (4)
High School Diploma 30.3% (110) 42.1% (93)
Less than High School 1.7% (6) 48.9% (108)
Bachelor's Degree and Higher 16.5% (60) 10.9% (24)

Education Levels Comparison: Glen elder vs Fountain run

  • In Fountain run, a larger percentage of residents lack formal schooling at 1.8% compared to 0.6% in Glen elder.
  • In Fountain run, the rate of residents with high school diplomas is higher at 42.1% compared to 30.3% in Glen elder.
  • The percentage of residents with less than a high school education is higher in Fountain run at 48.9%, compared to 1.7% in Glen elder.
  • A higher percentage of residents in Glen elder hold a bachelor's degree or higher at 16.5% 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.