Demographics details for Raven, VA vs Paupack, PA
Population Overview
Compare main population characteristics in Raven, VA vs Paupack, PA.
| Data | Raven | Paupack |
|---|---|---|
| Population | 2,065 | 1,000 |
| Median Age | 46.2 years | 42.0 years |
| Median Income | $36,613 | $60,000 |
| Married Families | 31.0% | 300.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Raven vs Paupack
- In Raven, the population is higher at 2,065, compared to 1,000 in Paupack.
- Residents in Raven have a higher median age of 46.2 years compared to 42.0 years in Paupack.
- Paupack has a higher median income of $60,000, compared to $36,613 in Raven.
- In Paupack, the percentage of married families is higher at 300.0%, compared to 31.0% in Raven.
- Raven has a higher poverty level at 15% compared to 8% in Paupack.
- The unemployment rate in Raven is higher at 4.5%, compared to 4.0% in Paupack.
Demographics
Demographics Raven vs Paupack provide insight into the diversity of the communities to compare.
| Demographic | Raven | Paupack |
|---|---|---|
| Black | Data is updating | 2 |
| White | 99 | 90 |
| Asian | Data is updating | 5 |
| Hispanic | Data is updating | 3 |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Raven vs Paupack
- In Paupack, the percentage of Black residents is higher at 2% compared to 0% in Raven.
- Raven has a higher percentage of White residents at 99% compared to 90% in Paupack.
- In Paupack, the Asian population stands at 5%, greater than 0% in Raven.
- Paupack has a higher percentage of Hispanic residents at 3%, compared to 0% in Raven.
- More residents identify as two or more races in Raven at 1% compared to 0% in Paupack.
- The percentage of American Indian residents is the same in both Raven and Paupack at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Raven | Paupack |
|---|---|---|
| Mental Health Not Good | 22.5% | Data is updating% |
| Physical Health Not Good | 16.7% | Data is updating% |
| Depression | 30.4% | Data is updating% |
| Smoking | 27.3% | Data is updating% |
| Binge Drinking | 16.2% | Data is updating% |
| Obesity | 40.3% | Data is updating% |
| Disability Percentage | 26.0% | Data is updating% |
Health Statistics Comparison: Raven vs Paupack
- More residents in Raven report poor mental health at 22.5% compared to 0.0% in Paupack.
- Depression is more prevalent in Raven at 30.4% compared to 0.0% in Paupack.
- Smoking is more prevalent in Raven at 27.3% compared to 0.0% in Paupack.
- Binge drinking is more common in Raven at 16.2% compared to 0.0% in Paupack.
- Obesity rates are higher in Raven at 40.3% compared to 0.0% in Paupack.
- Disability percentages are higher in Raven at 26.0% compared to 0.0% in Paupack.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Raven | Paupack |
|---|---|---|
| No Schooling | 0.5% (11) | 0.0% (Data is updating) |
| High School Diploma | 18.8% (388) | 0.0% (Data is updating) |
| Less than High School | 22.5% (464) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.1% (208) | 0.0% (Data is updating) |
Education Levels Comparison: Raven vs Paupack
- A higher percentage of residents in Raven have no formal schooling at 0.5% compared to 0.0% in Paupack.
- A higher percentage of residents in Raven hold a high school diploma at 18.8% compared to 0.0% in Paupack.
- More residents in Raven have less than a high school education at 22.5% compared to 0.0% in Paupack.
- A higher percentage of residents in Raven hold a bachelor's degree or higher at 10.1% compared to 0.0% in Paupack.
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.