Demographics details for Austin, TX vs Ohiopyle, PA
Population Overview
Compare main population characteristics in Austin, TX vs Ohiopyle, PA.
| Data | Austin | Ohiopyle |
|---|---|---|
| Population | 974,447 | 36 |
| Median Age | 34.2 years | 53.2 years |
| Median Income | $86,556 | $38,000 |
| Married Families | 35.0% | 81.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Austin vs Ohiopyle
- In Austin, the population is higher at 974,447, compared to 36 in Ohiopyle.
- The median age in Ohiopyle is higher at 53.2 years, compared to 34.2 years in Austin.
- Austin has a higher median income of $86,556 compared to $38,000 in Ohiopyle.
- In Ohiopyle, the percentage of married families is higher at 81.0%, compared to 35.0% in Austin.
- Austin has a higher poverty level at 15% compared to 0% in Ohiopyle.
- The unemployment rate in Austin is higher at 3.5%, compared to 3.2% in Ohiopyle.
Demographics
Demographics Austin vs Ohiopyle provide insight into the diversity of the communities to compare.
| Demographic | Austin | Ohiopyle |
|---|---|---|
| Black | 8 | Data is updating |
| White | 40 | 100 |
| Asian | 8 | Data is updating |
| Hispanic | 32 | Data is updating |
| Two or More Races | 11 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Austin vs Ohiopyle
- A higher percentage of Black residents are in Austin at 8% compared to 0% in Ohiopyle.
- The percentage of White residents is higher in Ohiopyle at 100% compared to 40% in Austin.
- The Asian population is larger in Austin at 8% compared to 0% in Ohiopyle.
- The Hispanic community is larger in Austin at 32% compared to 0% in Ohiopyle.
- More residents identify as two or more races in Austin at 11% compared to 0% in Ohiopyle.
- A greater percentage of American Indian residents live in Austin at 1% compared to 0% in Ohiopyle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Austin | Ohiopyle |
|---|---|---|
| Mental Health Not Good | 15.2% | 18.7% |
| Physical Health Not Good | 9.8% | 13.1% |
| Depression | 21.1% | 25.2% |
| Smoking | 11.2% | 23.2% |
| Binge Drinking | 19.4% | 18.8% |
| Obesity | 28.8% | 36.5% |
| Disability Percentage | 8.0% | 44.0% |
Health Statistics Comparison: Austin vs Ohiopyle
- In Ohiopyle, a higher percentage report poor mental health at 18.7% compared to 15.2% in Austin.
- Higher depression rates are seen in Ohiopyle at 25.2% versus 21.1% in Austin.
- Ohiopyle has a higher smoking rate at 23.2% compared to 11.2% in Austin.
- Binge drinking is more common in Austin at 19.4% compared to 18.8% in Ohiopyle.
- Ohiopyle has higher obesity rates at 36.5% compared to 28.8% in Austin.
- There is a higher percentage of disabled individuals in Ohiopyle at 44.0% compared to 8.0% in Austin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Austin | Ohiopyle |
|---|---|---|
| No Schooling | 1.5% (14,322) | 27.8% (10) |
| High School Diploma | 7.8% (75,894) | 30.6% (11) |
| Less than High School | 11.4% (110,985) | 55.6% (20) |
| Bachelor's Degree and Higher | 39.3% (382,604) | 25.0% (9) |
Education Levels Comparison: Austin vs Ohiopyle
- In Ohiopyle, a larger percentage of residents lack formal schooling at 27.8% compared to 1.5% in Austin.
- In Ohiopyle, the rate of residents with high school diplomas is higher at 30.6% compared to 7.8% in Austin.
- The percentage of residents with less than a high school education is higher in Ohiopyle at 55.6%, compared to 11.4% in Austin.
- A higher percentage of residents in Austin hold a bachelor's degree or higher at 39.3% 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.