Demographics details for Gwynedd valley, PA vs Dayton, OH

Population Overview

Compare main population characteristics in Gwynedd valley, PA vs Dayton, OH.

Data Gwynedd valley Dayton
Population 1,418 135,944
Median Age 48.0 years 34.0 years
Median Income $112,500 $41,443
Married Families 64.0% 21.0%
Poverty Level 3% 18%
Unemployment Rate 4.7 6.8

Population Comparison: Gwynedd valley vs Dayton

  • The population in Dayton is higher at 135,944, compared to 1,418 in Gwynedd valley.
  • Residents in Gwynedd valley have a higher median age of 48.0 years compared to 34.0 years in Dayton.
  • Gwynedd valley has a higher median income of $112,500 compared to $41,443 in Dayton.
  • A higher percentage of married families is found in Gwynedd valley at 64.0% compared to 21.0% in Dayton.
  • The poverty level is higher in Dayton at 18%, compared to 3% in Gwynedd valley.
  • Dayton has a higher unemployment rate at 6.8% compared to 4.7% in Gwynedd valley.

Demographics

Demographics Gwynedd valley vs Dayton provide insight into the diversity of the communities to compare.

Demographic Gwynedd valley Dayton
Black 1 38
White 93 50
Asian 3 1
Hispanic 2 5
Two or More Races 1 6
American Indian Data is updating Data is updating

Demographics Comparison: Gwynedd valley vs Dayton

  • In Dayton, the percentage of Black residents is higher at 38% compared to 1% in Gwynedd valley.
  • Gwynedd valley has a higher percentage of White residents at 93% compared to 50% in Dayton.
  • The Asian population is larger in Gwynedd valley at 3% compared to 1% in Dayton.
  • Dayton has a higher percentage of Hispanic residents at 5%, compared to 2% in Gwynedd valley.
  • The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 1% in Gwynedd valley.
  • The percentage of American Indian residents is the same in both Gwynedd valley and Dayton at 0%.

Health Statistics

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

Health Metric Gwynedd valley Dayton
Mental Health Not Good Data is updating% 21.9%
Physical Health Not Good Data is updating% 16.5%
Depression Data is updating% 26.5%
Smoking Data is updating% 26.0%
Binge Drinking Data is updating% 15.2%
Obesity Data is updating% 47.6%
Disability Percentage Data is updating% 18.0%

Health Statistics Comparison: Gwynedd valley vs Dayton

  • In Dayton, a higher percentage report poor mental health at 21.9% compared to 0.0% in Gwynedd valley.
  • Higher depression rates are seen in Dayton at 26.5% versus 0.0% in Gwynedd valley.
  • Dayton has a higher smoking rate at 26.0% compared to 0.0% in Gwynedd valley.
  • More residents engage in binge drinking in Dayton at 15.2% compared to 0.0% in Gwynedd valley.
  • Dayton has higher obesity rates at 47.6% compared to 0.0% in Gwynedd valley.
  • There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 0.0% in Gwynedd valley.

Education Levels

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

Education Level Gwynedd valley Dayton
No Schooling 0.0% (Data is updating) 0.9% (1,157)
High School Diploma 0.0% (Data is updating) 16.3% (22,101)
Less than High School 0.0% (Data is updating) 13.9% (18,900)
Bachelor's Degree and Higher 0.0% (Data is updating) 12.7% (17,260)

Education Levels Comparison: Gwynedd valley vs Dayton

  • In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Gwynedd valley.
  • In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 0.0% in Gwynedd valley.
  • The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 0.0% in Gwynedd valley.
  • In Dayton, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 0.0% in Gwynedd valley.

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.