Demographics details for Bunnell, FL vs Ohiopyle, PA
Population Overview
Compare main population characteristics in Bunnell, FL vs Ohiopyle, PA.
| Data | Bunnell | Ohiopyle |
|---|---|---|
| Population | 3,631 | 36 |
| Median Age | 51.4 years | 53.2 years |
| Median Income | $42,831 | $38,000 |
| Married Families | 26.0% | 81.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Bunnell vs Ohiopyle
- In Bunnell, the population is higher at 3,631, compared to 36 in Ohiopyle.
- The median age in Ohiopyle is higher at 53.2 years, compared to 51.4 years in Bunnell.
- Bunnell has a higher median income of $42,831 compared to $38,000 in Ohiopyle.
- In Ohiopyle, the percentage of married families is higher at 81.0%, compared to 26.0% in Bunnell.
- Bunnell has a higher poverty level at 15% compared to 0% in Ohiopyle.
- The unemployment rate in Bunnell is higher at 4.1%, compared to 3.2% in Ohiopyle.
Demographics
Demographics Bunnell vs Ohiopyle provide insight into the diversity of the communities to compare.
| Demographic | Bunnell | Ohiopyle |
|---|---|---|
| Black | 19 | Data is updating |
| White | 68 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 8 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bunnell vs Ohiopyle
- A higher percentage of Black residents are in Bunnell at 19% compared to 0% in Ohiopyle.
- The percentage of White residents is higher in Ohiopyle at 100% compared to 68% in Bunnell.
- The Asian population is larger in Bunnell at 1% compared to 0% in Ohiopyle.
- The Hispanic community is larger in Bunnell at 4% compared to 0% in Ohiopyle.
- More residents identify as two or more races in Bunnell at 8% compared to 0% in Ohiopyle.
- The percentage of American Indian residents is the same in both Bunnell and Ohiopyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bunnell | Ohiopyle |
|---|---|---|
| Mental Health Not Good | 16.7% | 18.7% |
| Physical Health Not Good | 11.5% | 13.1% |
| Depression | 21.0% | 25.2% |
| Smoking | 21.0% | 23.2% |
| Binge Drinking | 16.5% | 18.8% |
| Obesity | 34.3% | 36.5% |
| Disability Percentage | 9.0% | 44.0% |
Health Statistics Comparison: Bunnell vs Ohiopyle
- In Ohiopyle, a higher percentage report poor mental health at 18.7% compared to 16.7% in Bunnell.
- Higher depression rates are seen in Ohiopyle at 25.2% versus 21.0% in Bunnell.
- Ohiopyle has a higher smoking rate at 23.2% compared to 21.0% in Bunnell.
- More residents engage in binge drinking in Ohiopyle at 18.8% compared to 16.5% in Bunnell.
- Ohiopyle has higher obesity rates at 36.5% compared to 34.3% in Bunnell.
- There is a higher percentage of disabled individuals in Ohiopyle at 44.0% compared to 9.0% in Bunnell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bunnell | Ohiopyle |
|---|---|---|
| No Schooling | 0.7% (25) | 27.8% (10) |
| High School Diploma | 31.2% (1,134) | 30.6% (11) |
| Less than High School | 13.9% (505) | 55.6% (20) |
| Bachelor's Degree and Higher | 11.3% (411) | 25.0% (9) |
Education Levels Comparison: Bunnell vs Ohiopyle
- In Ohiopyle, a larger percentage of residents lack formal schooling at 27.8% compared to 0.7% in Bunnell.
- A higher percentage of residents in Bunnell hold a high school diploma at 31.2% compared to 30.6% in Ohiopyle.
- The percentage of residents with less than a high school education is higher in Ohiopyle at 55.6%, compared to 13.9% in Bunnell.
- In Ohiopyle, a larger share of residents have a bachelor's degree or higher at 25.0% compared to 11.3% in Bunnell.
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.