Demographics details for Ohiopyle, PA vs Palmer, MA
Population Overview
Compare main population characteristics in Ohiopyle, PA vs Palmer, MA.
| Data | Ohiopyle | Palmer |
|---|---|---|
| Population | 36 | 3,900 |
| Median Age | 53.2 years | 42.0 years |
| Median Income | $38,000 | $65,000 |
| Married Families | 81.0% | 55.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Ohiopyle vs Palmer
- The population in Palmer is higher at 3,900, compared to 36 in Ohiopyle.
- Residents in Ohiopyle have a higher median age of 53.2 years compared to 42.0 years in Palmer.
- Palmer has a higher median income of $65,000, compared to $38,000 in Ohiopyle.
- A higher percentage of married families is found in Ohiopyle at 81.0% compared to 55.0% in Palmer.
- The poverty level is higher in Palmer at 10%, compared to 0% in Ohiopyle.
- Palmer has a higher unemployment rate at 3.5% compared to 3.2% in Ohiopyle.
Demographics
Demographics Ohiopyle vs Palmer provide insight into the diversity of the communities to compare.
| Demographic | Ohiopyle | Palmer |
|---|---|---|
| Black | Data is updating | 1 |
| White | 100 | 96 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ohiopyle vs Palmer
- In Palmer, the percentage of Black residents is higher at 1% compared to 0% in Ohiopyle.
- Ohiopyle has a higher percentage of White residents at 100% compared to 96% in Palmer.
- In Palmer, the Asian population stands at 1%, greater than 0% in Ohiopyle.
- Palmer has a higher percentage of Hispanic residents at 2%, compared to 0% in Ohiopyle.
- Both Ohiopyle and Palmer have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Ohiopyle and Palmer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ohiopyle | Palmer |
|---|---|---|
| Mental Health Not Good | 18.7% | Data is updating% |
| Physical Health Not Good | 13.1% | Data is updating% |
| Depression | 25.2% | Data is updating% |
| Smoking | 23.2% | Data is updating% |
| Binge Drinking | 18.8% | Data is updating% |
| Obesity | 36.5% | Data is updating% |
| Disability Percentage | 44.0% | Data is updating% |
Health Statistics Comparison: Ohiopyle vs Palmer
- More residents in Ohiopyle report poor mental health at 18.7% compared to 0.0% in Palmer.
- Depression is more prevalent in Ohiopyle at 25.2% compared to 0.0% in Palmer.
- Smoking is more prevalent in Ohiopyle at 23.2% compared to 0.0% in Palmer.
- Binge drinking is more common in Ohiopyle at 18.8% compared to 0.0% in Palmer.
- Obesity rates are higher in Ohiopyle at 36.5% compared to 0.0% in Palmer.
- Disability percentages are higher in Ohiopyle at 44.0% compared to 0.0% in Palmer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ohiopyle | Palmer |
|---|---|---|
| No Schooling | 27.8% (10) | 0.0% (Data is updating) |
| High School Diploma | 30.6% (11) | 0.0% (Data is updating) |
| Less than High School | 55.6% (20) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 25.0% (9) | 0.0% (Data is updating) |
Education Levels Comparison: Ohiopyle vs Palmer
- A higher percentage of residents in Ohiopyle have no formal schooling at 27.8% compared to 0.0% in Palmer.
- A higher percentage of residents in Ohiopyle hold a high school diploma at 30.6% compared to 0.0% in Palmer.
- More residents in Ohiopyle have less than a high school education at 55.6% compared to 0.0% in Palmer.
- A higher percentage of residents in Ohiopyle hold a bachelor's degree or higher at 25.0% compared to 0.0% in Palmer.
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.