Demographics details for Orchard, NE vs Ohiopyle, PA
Population Overview
Compare main population characteristics in Orchard, NE vs Ohiopyle, PA.
| Data | Orchard | Ohiopyle |
|---|---|---|
| Population | 354 | 36 |
| Median Age | 36.5 years | 53.2 years |
| Median Income | $45,357 | $38,000 |
| Married Families | 42.0% | 81.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Orchard vs Ohiopyle
- In Orchard, the population is higher at 354, compared to 36 in Ohiopyle.
- The median age in Ohiopyle is higher at 53.2 years, compared to 36.5 years in Orchard.
- Orchard has a higher median income of $45,357 compared to $38,000 in Ohiopyle.
- In Ohiopyle, the percentage of married families is higher at 81.0%, compared to 42.0% in Orchard.
- Orchard has a higher poverty level at 10% compared to 0% in Ohiopyle.
- The unemployment rate in Orchard is higher at 3.5%, compared to 3.2% in Ohiopyle.
Demographics
Demographics Orchard vs Ohiopyle provide insight into the diversity of the communities to compare.
| Demographic | Orchard | Ohiopyle |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 93 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Orchard vs Ohiopyle
- The percentage of Black residents is the same in both Orchard and Ohiopyle at 0%.
- The percentage of White residents is higher in Ohiopyle at 100% compared to 93% in Orchard.
- Both Orchard and Ohiopyle have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Orchard at 4% compared to 0% in Ohiopyle.
- More residents identify as two or more races in Orchard at 3% compared to 0% in Ohiopyle.
- The percentage of American Indian residents is the same in both Orchard and Ohiopyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orchard | Ohiopyle |
|---|---|---|
| Mental Health Not Good | 13.9% | 18.7% |
| Physical Health Not Good | 9.4% | 13.1% |
| Depression | 16.6% | 25.2% |
| Smoking | 17.0% | 23.2% |
| Binge Drinking | 21.9% | 18.8% |
| Obesity | 36.1% | 36.5% |
| Disability Percentage | 19.0% | 44.0% |
Health Statistics Comparison: Orchard vs Ohiopyle
- In Ohiopyle, a higher percentage report poor mental health at 18.7% compared to 13.9% in Orchard.
- Higher depression rates are seen in Ohiopyle at 25.2% versus 16.6% in Orchard.
- Ohiopyle has a higher smoking rate at 23.2% compared to 17.0% in Orchard.
- Binge drinking is more common in Orchard at 21.9% compared to 18.8% in Ohiopyle.
- Ohiopyle has higher obesity rates at 36.5% compared to 36.1% in Orchard.
- There is a higher percentage of disabled individuals in Ohiopyle at 44.0% compared to 19.0% in Orchard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Orchard | Ohiopyle |
|---|---|---|
| No Schooling | 0.3% (1) | 27.8% (10) |
| High School Diploma | 21.5% (76) | 30.6% (11) |
| Less than High School | 13.0% (46) | 55.6% (20) |
| Bachelor's Degree and Higher | 13.3% (47) | 25.0% (9) |
Education Levels Comparison: Orchard vs Ohiopyle
- In Ohiopyle, a larger percentage of residents lack formal schooling at 27.8% compared to 0.3% in Orchard.
- In Ohiopyle, the rate of residents with high school diplomas is higher at 30.6% compared to 21.5% in Orchard.
- The percentage of residents with less than a high school education is higher in Ohiopyle at 55.6%, compared to 13.0% in Orchard.
- In Ohiopyle, a larger share of residents have a bachelor's degree or higher at 25.0% compared to 13.3% in Orchard.
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.