Demographics details for Frametown, WV vs Ohiopyle, PA

Population Overview

Compare main population characteristics in Frametown, WV vs Ohiopyle, PA.

Data Frametown Ohiopyle
Population 200 36
Median Age 35.0 years 53.2 years
Median Income $50,000 $38,000
Married Families 50.0% 81.0%
Poverty Level 15% Data is updating
Unemployment Rate 5.0 3.2

Population Comparison: Frametown vs Ohiopyle

  • In Frametown, the population is higher at 200, compared to 36 in Ohiopyle.
  • The median age in Ohiopyle is higher at 53.2 years, compared to 35.0 years in Frametown.
  • Frametown has a higher median income of $50,000 compared to $38,000 in Ohiopyle.
  • In Ohiopyle, the percentage of married families is higher at 81.0%, compared to 50.0% in Frametown.
  • Frametown has a higher poverty level at 15% compared to 0% in Ohiopyle.
  • The unemployment rate in Frametown is higher at 5.0%, compared to 3.2% in Ohiopyle.

Demographics

Demographics Frametown vs Ohiopyle provide insight into the diversity of the communities to compare.

Demographic Frametown Ohiopyle
Black Data is updating Data is updating
White 95 100
Asian Data is updating Data is updating
Hispanic 3 Data is updating
Two or More Races 2 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Frametown vs Ohiopyle

  • The percentage of Black residents is the same in both Frametown and Ohiopyle at 0%.
  • The percentage of White residents is higher in Ohiopyle at 100% compared to 95% in Frametown.
  • Both Frametown and Ohiopyle have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Frametown at 3% compared to 0% in Ohiopyle.
  • More residents identify as two or more races in Frametown at 2% compared to 0% in Ohiopyle.
  • The percentage of American Indian residents is the same in both Frametown and Ohiopyle at 0%.

Health Statistics

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

Health Metric Frametown Ohiopyle
Mental Health Not Good Data is updating% 18.7%
Physical Health Not Good Data is updating% 13.1%
Depression Data is updating% 25.2%
Smoking Data is updating% 23.2%
Binge Drinking Data is updating% 18.8%
Obesity Data is updating% 36.5%
Disability Percentage Data is updating% 44.0%

Health Statistics Comparison: Frametown vs Ohiopyle

  • In Ohiopyle, a higher percentage report poor mental health at 18.7% compared to 0.0% in Frametown.
  • Higher depression rates are seen in Ohiopyle at 25.2% versus 0.0% in Frametown.
  • Ohiopyle has a higher smoking rate at 23.2% compared to 0.0% in Frametown.
  • More residents engage in binge drinking in Ohiopyle at 18.8% compared to 0.0% in Frametown.
  • Ohiopyle has higher obesity rates at 36.5% compared to 0.0% in Frametown.
  • There is a higher percentage of disabled individuals in Ohiopyle at 44.0% compared to 0.0% in Frametown.

Education Levels

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

Education Level Frametown Ohiopyle
No Schooling 0.0% (Data is updating) 27.8% (10)
High School Diploma 0.0% (Data is updating) 30.6% (11)
Less than High School 0.0% (Data is updating) 55.6% (20)
Bachelor's Degree and Higher 0.0% (Data is updating) 25.0% (9)

Education Levels Comparison: Frametown vs Ohiopyle

  • In Ohiopyle, a larger percentage of residents lack formal schooling at 27.8% compared to 0.0% in Frametown.
  • In Ohiopyle, the rate of residents with high school diplomas is higher at 30.6% compared to 0.0% in Frametown.
  • The percentage of residents with less than a high school education is higher in Ohiopyle at 55.6%, compared to 0.0% in Frametown.
  • In Ohiopyle, a larger share of residents have a bachelor's degree or higher at 25.0% compared to 0.0% in Frametown.

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.