Demographics details for Clayton, OH vs Ohiopyle, PA
Population Overview
Compare main population characteristics in Clayton, OH vs Ohiopyle, PA.
| Data | Clayton | Ohiopyle |
|---|---|---|
| Population | 13,235 | 36 |
| Median Age | 46.0 years | 53.2 years |
| Median Income | $89,282 | $38,000 |
| Married Families | 47.0% | 81.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Clayton vs Ohiopyle
- In Clayton, the population is higher at 13,235, compared to 36 in Ohiopyle.
- The median age in Ohiopyle is higher at 53.2 years, compared to 46.0 years in Clayton.
- Clayton has a higher median income of $89,282 compared to $38,000 in Ohiopyle.
- In Ohiopyle, the percentage of married families is higher at 81.0%, compared to 47.0% in Clayton.
- Clayton has a higher poverty level at 10% compared to 0% in Ohiopyle.
- The unemployment rate in Clayton is higher at 3.5%, compared to 3.2% in Ohiopyle.
Demographics
Demographics Clayton vs Ohiopyle provide insight into the diversity of the communities to compare.
| Demographic | Clayton | Ohiopyle |
|---|---|---|
| Black | 30 | Data is updating |
| White | 61 | 100 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clayton vs Ohiopyle
- A higher percentage of Black residents are in Clayton at 30% compared to 0% in Ohiopyle.
- The percentage of White residents is higher in Ohiopyle at 100% compared to 61% in Clayton.
- The Asian population is larger in Clayton at 2% compared to 0% in Ohiopyle.
- The Hispanic community is larger in Clayton at 2% compared to 0% in Ohiopyle.
- More residents identify as two or more races in Clayton at 5% compared to 0% in Ohiopyle.
- The percentage of American Indian residents is the same in both Clayton and Ohiopyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clayton | Ohiopyle |
|---|---|---|
| Mental Health Not Good | 16.8% | 18.7% |
| Physical Health Not Good | 10.3% | 13.1% |
| Depression | 24.4% | 25.2% |
| Smoking | 15.3% | 23.2% |
| Binge Drinking | 18.9% | 18.8% |
| Obesity | 37.4% | 36.5% |
| Disability Percentage | 13.0% | 44.0% |
Health Statistics Comparison: Clayton vs Ohiopyle
- In Ohiopyle, a higher percentage report poor mental health at 18.7% compared to 16.8% in Clayton.
- Higher depression rates are seen in Ohiopyle at 25.2% versus 24.4% in Clayton.
- Ohiopyle has a higher smoking rate at 23.2% compared to 15.3% in Clayton.
- Binge drinking is more common in Clayton at 18.9% compared to 18.8% in Ohiopyle.
- Obesity rates are higher in Clayton at 37.4% compared to 36.5% in Ohiopyle.
- There is a higher percentage of disabled individuals in Ohiopyle at 44.0% compared to 13.0% in Clayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clayton | Ohiopyle |
|---|---|---|
| No Schooling | 0.2% (30) | 27.8% (10) |
| High School Diploma | 17.9% (2,371) | 30.6% (11) |
| Less than High School | 5.6% (746) | 55.6% (20) |
| Bachelor's Degree and Higher | 26.3% (3,484) | 25.0% (9) |
Education Levels Comparison: Clayton vs Ohiopyle
- In Ohiopyle, a larger percentage of residents lack formal schooling at 27.8% compared to 0.2% in Clayton.
- In Ohiopyle, the rate of residents with high school diplomas is higher at 30.6% compared to 17.9% in Clayton.
- The percentage of residents with less than a high school education is higher in Ohiopyle at 55.6%, compared to 5.6% in Clayton.
- A higher percentage of residents in Clayton hold a bachelor's degree or higher at 26.3% compared to 25.0% in Ohiopyle.
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.