Demographics details for Fountain run, KY vs Girdletree, MD

Population Overview

Compare main population characteristics in Fountain run, KY vs Girdletree, MD.

Data Fountain run Girdletree
Population 221 122
Median Age 49.1 years 57.4 years
Median Income $38,750 $129,167
Married Families 62.0% 50.0%
Poverty Level 12% Data is updating
Unemployment Rate 3.2 Data is updating

Population Comparison: Fountain run vs Girdletree

  • In Fountain run, the population is higher at 221, compared to 122 in Girdletree.
  • The median age in Girdletree is higher at 57.4 years, compared to 49.1 years in Fountain run.
  • Girdletree has a higher median income of $129,167, compared to $38,750 in Fountain run.
  • A higher percentage of married families is found in Fountain run at 62.0% compared to 50.0% in Girdletree.
  • Fountain run has a higher poverty level at 12% compared to 0% in Girdletree.
  • The unemployment rate in Fountain run is higher at 3.2%, compared to 0.0% in Girdletree.

Demographics

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

Demographic Fountain run Girdletree
Black 1 Data is updating
White 99 89
Asian Data is updating 11
Hispanic Data is updating Data is updating
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Fountain run vs Girdletree

  • A higher percentage of Black residents are in Fountain run at 1% compared to 0% in Girdletree.
  • Fountain run has a higher percentage of White residents at 99% compared to 89% in Girdletree.
  • In Girdletree, the Asian population stands at 11%, greater than 0% in Fountain run.
  • The percentage of Hispanic residents is the same in both Fountain run and Girdletree at 0%.
  • Both Fountain run and Girdletree have the same percentage of residents identifying as two or more races at 0%.
  • The percentage of American Indian residents is the same in both Fountain run and Girdletree at 0%.

Health Statistics

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

Health Metric Fountain run Girdletree
Mental Health Not Good 22.1% 16.7%
Physical Health Not Good 17.4% 10.6%
Depression 30.6% 20.8%
Smoking 29.1% 18.7%
Binge Drinking 14.2% 18.8%
Obesity 41.1% 39.6%
Disability Percentage 24.0% 8.0%

Health Statistics Comparison: Fountain run vs Girdletree

  • More residents in Fountain run report poor mental health at 22.1% compared to 16.7% in Girdletree.
  • Depression is more prevalent in Fountain run at 30.6% compared to 20.8% in Girdletree.
  • Smoking is more prevalent in Fountain run at 29.1% compared to 18.7% in Girdletree.
  • More residents engage in binge drinking in Girdletree at 18.8% compared to 14.2% in Fountain run.
  • Obesity rates are higher in Fountain run at 41.1% compared to 39.6% in Girdletree.
  • Disability percentages are higher in Fountain run at 24.0% compared to 8.0% in Girdletree.

Education Levels

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

Education Level Fountain run Girdletree
No Schooling 1.8% (4) 0.0% (Data is updating)
High School Diploma 42.1% (93) 44.3% (54)
Less than High School 48.9% (108) 19.7% (24)
Bachelor's Degree and Higher 10.9% (24) 5.7% (7)

Education Levels Comparison: Fountain run vs Girdletree

  • A higher percentage of residents in Fountain run have no formal schooling at 1.8% compared to 0.0% in Girdletree.
  • In Girdletree, the rate of residents with high school diplomas is higher at 44.3% compared to 42.1% in Fountain run.
  • More residents in Fountain run have less than a high school education at 48.9% compared to 19.7% in Girdletree.
  • A higher percentage of residents in Fountain run hold a bachelor's degree or higher at 10.9% compared to 5.7% in Girdletree.

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.