Demographics details for Ohiopyle, PA vs Bozeman, MT
Population Overview
Compare main population characteristics in Ohiopyle, PA vs Bozeman, MT.
| Data | Ohiopyle | Bozeman |
|---|---|---|
| Population | 36 | 56,123 |
| Median Age | 53.2 years | 28.2 years |
| Median Income | $38,000 | $74,113 |
| Married Families | 81.0% | 30.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 3.2 | 2.7 |
Population Comparison: Ohiopyle vs Bozeman
- The population in Bozeman is higher at 56,123, compared to 36 in Ohiopyle.
- Residents in Ohiopyle have a higher median age of 53.2 years compared to 28.2 years in Bozeman.
- Bozeman has a higher median income of $74,113, compared to $38,000 in Ohiopyle.
- A higher percentage of married families is found in Ohiopyle at 81.0% compared to 30.0% in Bozeman.
- The poverty level is higher in Bozeman at 9%, compared to 0% in Ohiopyle.
- The unemployment rate in Ohiopyle is higher at 3.2%, compared to 2.7% in Bozeman.
Demographics
Demographics Ohiopyle vs Bozeman provide insight into the diversity of the communities to compare.
| Demographic | Ohiopyle | Bozeman |
|---|---|---|
| Black | Data is updating | 1 |
| White | 100 | 86 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Ohiopyle vs Bozeman
- In Bozeman, 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 86% in Bozeman.
- In Bozeman, the Asian population stands at 2%, greater than 0% in Ohiopyle.
- Bozeman has a higher percentage of Hispanic residents at 5%, compared to 0% in Ohiopyle.
- The percentage of residents identifying as two or more races is higher in Bozeman at 5%, compared to 0% in Ohiopyle.
- In Bozeman, the percentage of American Indian residents is higher at 1%, compared to 0% in Ohiopyle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ohiopyle | Bozeman |
|---|---|---|
| Mental Health Not Good | 18.7% | 14.5% |
| Physical Health Not Good | 13.1% | 9.0% |
| Depression | 25.2% | 22.8% |
| Smoking | 23.2% | 12.6% |
| Binge Drinking | 18.8% | 23.1% |
| Obesity | 36.5% | 24.8% |
| Disability Percentage | 44.0% | 8.0% |
Health Statistics Comparison: Ohiopyle vs Bozeman
- More residents in Ohiopyle report poor mental health at 18.7% compared to 14.5% in Bozeman.
- Depression is more prevalent in Ohiopyle at 25.2% compared to 22.8% in Bozeman.
- Smoking is more prevalent in Ohiopyle at 23.2% compared to 12.6% in Bozeman.
- More residents engage in binge drinking in Bozeman at 23.1% compared to 18.8% in Ohiopyle.
- Obesity rates are higher in Ohiopyle at 36.5% compared to 24.8% in Bozeman.
- Disability percentages are higher in Ohiopyle at 44.0% compared to 8.0% in Bozeman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ohiopyle | Bozeman |
|---|---|---|
| No Schooling | 27.8% (10) | 0.0% (11) |
| High School Diploma | 30.6% (11) | 5.7% (3,187) |
| Less than High School | 55.6% (20) | 2.3% (1,316) |
| Bachelor's Degree and Higher | 25.0% (9) | 35.7% (20,038) |
Education Levels Comparison: Ohiopyle vs Bozeman
- A higher percentage of residents in Ohiopyle have no formal schooling at 27.8% compared to 0.0% in Bozeman.
- A higher percentage of residents in Ohiopyle hold a high school diploma at 30.6% compared to 5.7% in Bozeman.
- More residents in Ohiopyle have less than a high school education at 55.6% compared to 2.3% in Bozeman.
- In Bozeman, a larger share of residents have a bachelor's degree or higher at 35.7% 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.