Demographics details for Bryan, OH vs Roaring spring, PA
Population Overview
Compare main population characteristics in Bryan, OH vs Roaring spring, PA.
| Data | Bryan | Roaring spring |
|---|---|---|
| Population | 8,623 | 2,333 |
| Median Age | 46.5 years | 36.1 years |
| Median Income | $51,415 | $63,194 |
| Married Families | 33.0% | 43.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Bryan vs Roaring spring
- In Bryan, the population is higher at 8,623, compared to 2,333 in Roaring spring.
- Residents in Bryan have a higher median age of 46.5 years compared to 36.1 years in Roaring spring.
- Roaring spring has a higher median income of $63,194, compared to $51,415 in Bryan.
- In Roaring spring, the percentage of married families is higher at 43.0%, compared to 33.0% in Bryan.
- The poverty level is higher in Roaring spring at 10%, compared to 9% in Bryan.
- Roaring spring has a higher unemployment rate at 5.0% compared to 4.2% in Bryan.
Demographics
Demographics Bryan vs Roaring spring provide insight into the diversity of the communities to compare.
| Demographic | Bryan | Roaring spring |
|---|---|---|
| Black | 2 | 1 |
| White | 92 | 91 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 3 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bryan vs Roaring spring
- A higher percentage of Black residents are in Bryan at 2% compared to 1% in Roaring spring.
- Bryan has a higher percentage of White residents at 92% compared to 91% in Roaring spring.
- The Asian population is larger in Bryan at 1% compared to 0% in Roaring spring.
- The Hispanic community is larger in Bryan at 4% compared to 3% in Roaring spring.
- The percentage of residents identifying as two or more races is higher in Roaring spring at 5%, compared to 1% in Bryan.
- The percentage of American Indian residents is the same in both Bryan and Roaring spring at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryan | Roaring spring |
|---|---|---|
| Mental Health Not Good | 17.5% | 18.2% |
| Physical Health Not Good | 11.5% | 12.2% |
| Depression | 23.2% | 25.5% |
| Smoking | 20.5% | 21.4% |
| Binge Drinking | 18.3% | 18.5% |
| Obesity | 41.8% | 34.7% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Bryan vs Roaring spring
- In Roaring spring, a higher percentage report poor mental health at 18.2% compared to 17.5% in Bryan.
- Higher depression rates are seen in Roaring spring at 25.5% versus 23.2% in Bryan.
- Roaring spring has a higher smoking rate at 21.4% compared to 20.5% in Bryan.
- More residents engage in binge drinking in Roaring spring at 18.5% compared to 18.3% in Bryan.
- Obesity rates are higher in Bryan at 41.8% compared to 34.7% in Roaring spring.
- Disability percentages are higher in Bryan at 16.0% compared to 14.0% in Roaring spring.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bryan | Roaring spring |
|---|---|---|
| No Schooling | 0.5% (45) | 0.4% (9) |
| High School Diploma | 27.7% (2,385) | 25.9% (605) |
| Less than High School | 16.1% (1,391) | 7.2% (168) |
| Bachelor's Degree and Higher | 11.4% (984) | 13.5% (316) |
Education Levels Comparison: Bryan vs Roaring spring
- A higher percentage of residents in Bryan have no formal schooling at 0.5% compared to 0.4% in Roaring spring.
- A higher percentage of residents in Bryan hold a high school diploma at 27.7% compared to 25.9% in Roaring spring.
- More residents in Bryan have less than a high school education at 16.1% compared to 7.2% in Roaring spring.
- In Roaring spring, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 11.4% in Bryan.
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.