Demographics details for Fountain run, KY vs Middle point, OH

Population Overview

Compare main population characteristics in Fountain run, KY vs Middle point, OH.

Data Fountain run Middle point
Population 221 565
Median Age 49.1 years 37.0 years
Median Income $38,750 $54,479
Married Families 62.0% 44.0%
Poverty Level 12% 8%
Unemployment Rate 3.2 4.5

Population Comparison: Fountain run vs Middle point

  • The population in Middle point is higher at 565, compared to 221 in Fountain run.
  • Residents in Fountain run have a higher median age of 49.1 years compared to 37.0 years in Middle point.
  • Middle point has a higher median income of $54,479, compared to $38,750 in Fountain run.
  • A higher percentage of married families is found in Fountain run at 62.0% compared to 44.0% in Middle point.
  • Fountain run has a higher poverty level at 12% compared to 8% in Middle point.
  • Middle point has a higher unemployment rate at 4.5% compared to 3.2% in Fountain run.

Demographics

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

Demographic Fountain run Middle point
Black 1 Data is updating
White 99 99
Asian Data is updating Data is updating
Hispanic Data is updating Data is updating
Two or More Races Data is updating 1
American Indian Data is updating Data is updating

Demographics Comparison: Fountain run vs Middle point

  • A higher percentage of Black residents are in Fountain run at 1% compared to 0% in Middle point.
  • The percentage of White residents is the same in both Fountain run and Middle point at 99%.
  • Both Fountain run and Middle point have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Fountain run and Middle point at 0%.
  • The percentage of residents identifying as two or more races is higher in Middle point at 1%, compared to 0% in Fountain run.
  • The percentage of American Indian residents is the same in both Fountain run and Middle point at 0%.

Health Statistics

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

Health Metric Fountain run Middle point
Mental Health Not Good 22.1% 16.7%
Physical Health Not Good 17.4% 10.5%
Depression 30.6% 23.4%
Smoking 29.1% 18.5%
Binge Drinking 14.2% 19.3%
Obesity 41.1% 41.8%
Disability Percentage 24.0% 12.0%

Health Statistics Comparison: Fountain run vs Middle point

  • More residents in Fountain run report poor mental health at 22.1% compared to 16.7% in Middle point.
  • Depression is more prevalent in Fountain run at 30.6% compared to 23.4% in Middle point.
  • Smoking is more prevalent in Fountain run at 29.1% compared to 18.5% in Middle point.
  • More residents engage in binge drinking in Middle point at 19.3% compared to 14.2% in Fountain run.
  • Middle point has higher obesity rates at 41.8% compared to 41.1% in Fountain run.
  • Disability percentages are higher in Fountain run at 24.0% compared to 12.0% in Middle point.

Education Levels

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

Education Level Fountain run Middle point
No Schooling 1.8% (4) 1.1% (6)
High School Diploma 42.1% (93) 34.2% (193)
Less than High School 48.9% (108) 13.1% (74)
Bachelor's Degree and Higher 10.9% (24) 9.4% (53)

Education Levels Comparison: Fountain run vs Middle point

  • A higher percentage of residents in Fountain run have no formal schooling at 1.8% compared to 1.1% in Middle point.
  • A higher percentage of residents in Fountain run hold a high school diploma at 42.1% compared to 34.2% in Middle point.
  • More residents in Fountain run have less than a high school education at 48.9% compared to 13.1% in Middle point.
  • A higher percentage of residents in Fountain run hold a bachelor's degree or higher at 10.9% compared to 9.4% in Middle point.

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.