Demographics details for Williamsport, PA vs Rayland, OH
Population Overview
Compare main population characteristics in Williamsport, PA vs Rayland, OH.
| Data | Williamsport | Rayland |
|---|---|---|
| Population | 27,403 | 384 |
| Median Age | 30.3 years | 48.5 years |
| Median Income | $48,388 | $56,875 |
| Married Families | 24.0% | 46.0% |
| Poverty Level | 16% | 16% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Williamsport vs Rayland
- In Williamsport, the population is higher at 27,403, compared to 384 in Rayland.
- The median age in Rayland is higher at 48.5 years, compared to 30.3 years in Williamsport.
- Rayland has a higher median income of $56,875, compared to $48,388 in Williamsport.
- In Rayland, the percentage of married families is higher at 46.0%, compared to 24.0% in Williamsport.
- The poverty level is identical in both Williamsport and Rayland at 16%.
- Rayland has a higher unemployment rate at 4.5% compared to 4.1% in Williamsport.
Demographics
Demographics Williamsport vs Rayland provide insight into the diversity of the communities to compare.
| Demographic | Williamsport | Rayland |
|---|---|---|
| Black | 14 | Data is updating |
| White | 75 | 98 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 6 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Williamsport vs Rayland
- A higher percentage of Black residents are in Williamsport at 14% compared to 0% in Rayland.
- The percentage of White residents is higher in Rayland at 98% compared to 75% in Williamsport.
- The Asian population is larger in Williamsport at 1% compared to 0% in Rayland.
- The Hispanic community is larger in Williamsport at 3% compared to 0% in Rayland.
- More residents identify as two or more races in Williamsport at 6% compared to 2% in Rayland.
- A greater percentage of American Indian residents live in Williamsport at 1% compared to 0% in Rayland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Williamsport | Rayland |
|---|---|---|
| Mental Health Not Good | 18.9% | 19.8% |
| Physical Health Not Good | 13.7% | 13.6% |
| Depression | 24.6% | 25.8% |
| Smoking | 22.7% | 25.7% |
| Binge Drinking | 16.2% | 18.0% |
| Obesity | 40.4% | 41.8% |
| Disability Percentage | 18.0% | 24.0% |
Health Statistics Comparison: Williamsport vs Rayland
- In Rayland, a higher percentage report poor mental health at 19.8% compared to 18.9% in Williamsport.
- Higher depression rates are seen in Rayland at 25.8% versus 24.6% in Williamsport.
- Rayland has a higher smoking rate at 25.7% compared to 22.7% in Williamsport.
- More residents engage in binge drinking in Rayland at 18.0% compared to 16.2% in Williamsport.
- Rayland has higher obesity rates at 41.8% compared to 40.4% in Williamsport.
- There is a higher percentage of disabled individuals in Rayland at 24.0% compared to 18.0% in Williamsport.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Williamsport | Rayland |
|---|---|---|
| No Schooling | 0.7% (186) | 1.0% (4) |
| High School Diploma | 16.4% (4,487) | 35.4% (136) |
| Less than High School | 12.8% (3,507) | 9.9% (38) |
| Bachelor's Degree and Higher | 16.1% (4,416) | 7.3% (28) |
Education Levels Comparison: Williamsport vs Rayland
- In Rayland, a larger percentage of residents lack formal schooling at 1.0% compared to 0.7% in Williamsport.
- In Rayland, the rate of residents with high school diplomas is higher at 35.4% compared to 16.4% in Williamsport.
- More residents in Williamsport have less than a high school education at 12.8% compared to 9.9% in Rayland.
- A higher percentage of residents in Williamsport hold a bachelor's degree or higher at 16.1% compared to 7.3% in Rayland.
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.