Demographics details for Fountain run, KY vs Cedar bluff, VA

Population Overview

Compare main population characteristics in Fountain run, KY vs Cedar bluff, VA.

Data Fountain run Cedar bluff
Population 221 1,045
Median Age 49.1 years 48.9 years
Median Income $38,750 $41,094
Married Families 62.0% 54.0%
Poverty Level 12% 8%
Unemployment Rate 3.2 4.2

Population Comparison: Fountain run vs Cedar bluff

  • The population in Cedar bluff is higher at 1,045, compared to 221 in Fountain run.
  • Residents in Fountain run have a higher median age of 49.1 years compared to 48.9 years in Cedar bluff.
  • Cedar bluff has a higher median income of $41,094, compared to $38,750 in Fountain run.
  • A higher percentage of married families is found in Fountain run at 62.0% compared to 54.0% in Cedar bluff.
  • Fountain run has a higher poverty level at 12% compared to 8% in Cedar bluff.
  • Cedar bluff has a higher unemployment rate at 4.2% compared to 3.2% in Fountain run.

Demographics

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

Demographic Fountain run Cedar bluff
Black 1 Data is updating
White 99 100
Asian Data is updating Data is updating
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 Cedar bluff

  • A higher percentage of Black residents are in Fountain run at 1% compared to 0% in Cedar bluff.
  • The percentage of White residents is higher in Cedar bluff at 100% compared to 99% in Fountain run.
  • Both Fountain run and Cedar bluff have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Fountain run and Cedar bluff at 0%.
  • Both Fountain run and Cedar bluff 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 Cedar bluff at 0%.

Health Statistics

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

Health Metric Fountain run Cedar bluff
Mental Health Not Good 22.1% 19.8%
Physical Health Not Good 17.4% 13.5%
Depression 30.6% 28.4%
Smoking 29.1% 21.7%
Binge Drinking 14.2% 18.0%
Obesity 41.1% 36.2%
Disability Percentage 24.0% 22.0%

Health Statistics Comparison: Fountain run vs Cedar bluff

  • More residents in Fountain run report poor mental health at 22.1% compared to 19.8% in Cedar bluff.
  • Depression is more prevalent in Fountain run at 30.6% compared to 28.4% in Cedar bluff.
  • Smoking is more prevalent in Fountain run at 29.1% compared to 21.7% in Cedar bluff.
  • More residents engage in binge drinking in Cedar bluff at 18.0% compared to 14.2% in Fountain run.
  • Obesity rates are higher in Fountain run at 41.1% compared to 36.2% in Cedar bluff.
  • Disability percentages are higher in Fountain run at 24.0% compared to 22.0% in Cedar bluff.

Education Levels

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

Education Level Fountain run Cedar bluff
No Schooling 1.8% (4) 0.0% (Data is updating)
High School Diploma 42.1% (93) 32.9% (344)
Less than High School 48.9% (108) 19.7% (206)
Bachelor's Degree and Higher 10.9% (24) 13.0% (136)

Education Levels Comparison: Fountain run vs Cedar bluff

  • A higher percentage of residents in Fountain run have no formal schooling at 1.8% compared to 0.0% in Cedar bluff.
  • A higher percentage of residents in Fountain run hold a high school diploma at 42.1% compared to 32.9% in Cedar bluff.
  • More residents in Fountain run have less than a high school education at 48.9% compared to 19.7% in Cedar bluff.
  • In Cedar bluff, a larger share of residents have a bachelor's degree or higher at 13.0% 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.