Demographics details for Ohiopyle, PA vs Waverly, TN
Population Overview
Compare main population characteristics in Ohiopyle, PA vs Waverly, TN.
| Data | Ohiopyle | Waverly |
|---|---|---|
| Population | 36 | 4,297 |
| Median Age | 53.2 years | 46.7 years |
| Median Income | $38,000 | $43,750 |
| Married Families | 81.0% | 35.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Ohiopyle vs Waverly
- The population in Waverly is higher at 4,297, compared to 36 in Ohiopyle.
- Residents in Ohiopyle have a higher median age of 53.2 years compared to 46.7 years in Waverly.
- Waverly has a higher median income of $43,750, compared to $38,000 in Ohiopyle.
- A higher percentage of married families is found in Ohiopyle at 81.0% compared to 35.0% in Waverly.
- The poverty level is higher in Waverly at 12%, compared to 0% in Ohiopyle.
- Waverly has a higher unemployment rate at 4.5% compared to 3.2% in Ohiopyle.
Demographics
Demographics Ohiopyle vs Waverly provide insight into the diversity of the communities to compare.
| Demographic | Ohiopyle | Waverly |
|---|---|---|
| Black | Data is updating | 2 |
| White | 100 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ohiopyle vs Waverly
- In Waverly, the percentage of Black residents is higher at 2% compared to 0% in Ohiopyle.
- Ohiopyle has a higher percentage of White residents at 100% compared to 91% in Waverly.
- Both Ohiopyle and Waverly have the same percentage of Asian residents at 0%.
- Waverly has a higher percentage of Hispanic residents at 2%, compared to 0% in Ohiopyle.
- The percentage of residents identifying as two or more races is higher in Waverly at 5%, compared to 0% in Ohiopyle.
- The percentage of American Indian residents is the same in both Ohiopyle and Waverly at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ohiopyle | Waverly |
|---|---|---|
| Mental Health Not Good | 18.7% | 19.9% |
| Physical Health Not Good | 13.1% | 13.9% |
| Depression | 25.2% | 28.8% |
| Smoking | 23.2% | 23.6% |
| Binge Drinking | 18.8% | 15.6% |
| Obesity | 36.5% | 37.8% |
| Disability Percentage | 44.0% | 19.0% |
Health Statistics Comparison: Ohiopyle vs Waverly
- In Waverly, a higher percentage report poor mental health at 19.9% compared to 18.7% in Ohiopyle.
- Higher depression rates are seen in Waverly at 28.8% versus 25.2% in Ohiopyle.
- Waverly has a higher smoking rate at 23.6% compared to 23.2% in Ohiopyle.
- Binge drinking is more common in Ohiopyle at 18.8% compared to 15.6% in Waverly.
- Waverly has higher obesity rates at 37.8% compared to 36.5% in Ohiopyle.
- Disability percentages are higher in Ohiopyle at 44.0% compared to 19.0% in Waverly.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ohiopyle | Waverly |
|---|---|---|
| No Schooling | 27.8% (10) | 1.0% (41) |
| High School Diploma | 30.6% (11) | 18.4% (792) |
| Less than High School | 55.6% (20) | 21.9% (943) |
| Bachelor's Degree and Higher | 25.0% (9) | 16.5% (709) |
Education Levels Comparison: Ohiopyle vs Waverly
- A higher percentage of residents in Ohiopyle have no formal schooling at 27.8% compared to 1.0% in Waverly.
- A higher percentage of residents in Ohiopyle hold a high school diploma at 30.6% compared to 18.4% in Waverly.
- More residents in Ohiopyle have less than a high school education at 55.6% compared to 21.9% in Waverly.
- A higher percentage of residents in Ohiopyle hold a bachelor's degree or higher at 25.0% compared to 16.5% in Waverly.
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.