Demographics details for Bryan, OH vs Austin, PA
Population Overview
Compare main population characteristics in Bryan, OH vs Austin, PA.
| Data | Bryan | Austin |
|---|---|---|
| Population | 8,623 | 474 |
| Median Age | 46.5 years | 43.7 years |
| Median Income | $51,415 | $42,708 |
| Married Families | 33.0% | 56.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Bryan vs Austin
- In Bryan, the population is higher at 8,623, compared to 474 in Austin.
- Residents in Bryan have a higher median age of 46.5 years compared to 43.7 years in Austin.
- Bryan has a higher median income of $51,415 compared to $42,708 in Austin.
- In Austin, the percentage of married families is higher at 56.0%, compared to 33.0% in Bryan.
- The poverty level is higher in Austin at 12%, compared to 9% in Bryan.
- Austin has a higher unemployment rate at 4.5% compared to 4.2% in Bryan.
Demographics
Demographics Bryan vs Austin provide insight into the diversity of the communities to compare.
| Demographic | Bryan | Austin |
|---|---|---|
| Black | 2 | Data is updating |
| White | 92 | 99 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 1 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bryan vs Austin
- A higher percentage of Black residents are in Bryan at 2% compared to 0% in Austin.
- The percentage of White residents is higher in Austin at 99% compared to 92% in Bryan.
- The Asian population is larger in Bryan at 1% compared to 0% in Austin.
- The Hispanic community is larger in Bryan at 4% compared to 0% in Austin.
- Both Bryan and Austin have the same percentage of residents identifying as two or more races at 1%.
- The percentage of American Indian residents is the same in both Bryan and Austin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryan | Austin |
|---|---|---|
| Mental Health Not Good | 17.5% | 18.0% |
| Physical Health Not Good | 11.5% | 12.3% |
| Depression | 23.2% | 25.0% |
| Smoking | 20.5% | 21.1% |
| Binge Drinking | 18.3% | 19.0% |
| Obesity | 41.8% | 38.4% |
| Disability Percentage | 16.0% | 27.0% |
Health Statistics Comparison: Bryan vs Austin
- In Austin, a higher percentage report poor mental health at 18.0% compared to 17.5% in Bryan.
- Higher depression rates are seen in Austin at 25.0% versus 23.2% in Bryan.
- Austin has a higher smoking rate at 21.1% compared to 20.5% in Bryan.
- More residents engage in binge drinking in Austin at 19.0% compared to 18.3% in Bryan.
- Obesity rates are higher in Bryan at 41.8% compared to 38.4% in Austin.
- There is a higher percentage of disabled individuals in Austin at 27.0% compared to 16.0% in Bryan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bryan | Austin |
|---|---|---|
| No Schooling | 0.5% (45) | 0.8% (4) |
| High School Diploma | 27.7% (2,385) | 41.4% (196) |
| Less than High School | 16.1% (1,391) | 17.3% (82) |
| Bachelor's Degree and Higher | 11.4% (984) | 5.3% (25) |
Education Levels Comparison: Bryan vs Austin
- In Austin, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Bryan.
- In Austin, the rate of residents with high school diplomas is higher at 41.4% compared to 27.7% in Bryan.
- The percentage of residents with less than a high school education is higher in Austin at 17.3%, compared to 16.1% in Bryan.
- A higher percentage of residents in Bryan hold a bachelor's degree or higher at 11.4% compared to 5.3% in Austin.
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.