Demographics details for Eglon, WV vs Windber, PA
Population Overview
Compare main population characteristics in Eglon, WV vs Windber, PA.
| Data | Eglon | Windber |
|---|---|---|
| Population | 100 | 3,875 |
| Median Age | 45.0 years | 41.5 years |
| Median Income | $60,000 | $48,299 |
| Married Families | 70.0% | 38.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 5.0 | 5.1 |
Population Comparison: Eglon vs Windber
- The population in Windber is higher at 3,875, compared to 100 in Eglon.
- Residents in Eglon have a higher median age of 45.0 years compared to 41.5 years in Windber.
- Eglon has a higher median income of $60,000 compared to $48,299 in Windber.
- A higher percentage of married families is found in Eglon at 70.0% compared to 38.0% in Windber.
- Eglon has a higher poverty level at 10% compared to 9% in Windber.
- Windber has a higher unemployment rate at 5.1% compared to 5.0% in Eglon.
Demographics
Demographics Eglon vs Windber provide insight into the diversity of the communities to compare.
| Demographic | Eglon | Windber |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 95 | 99 |
| Asian | 2 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Eglon vs Windber
- The percentage of Black residents is the same in both Eglon and Windber at 0%.
- The percentage of White residents is higher in Windber at 99% compared to 95% in Eglon.
- The Asian population is larger in Eglon at 2% compared to 0% in Windber.
- The Hispanic community is larger in Eglon at 1% compared to 0% in Windber.
- More residents identify as two or more races in Eglon at 2% compared to 1% in Windber.
- The percentage of American Indian residents is the same in both Eglon and Windber at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eglon | Windber |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.8% |
| Physical Health Not Good | Data is updating% | 13.5% |
| Depression | Data is updating% | 24.8% |
| Smoking | Data is updating% | 23.4% |
| Binge Drinking | Data is updating% | 18.1% |
| Obesity | Data is updating% | 41.2% |
| Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Eglon vs Windber
- In Windber, a higher percentage report poor mental health at 18.8% compared to 0.0% in Eglon.
- Higher depression rates are seen in Windber at 24.8% versus 0.0% in Eglon.
- Windber has a higher smoking rate at 23.4% compared to 0.0% in Eglon.
- More residents engage in binge drinking in Windber at 18.1% compared to 0.0% in Eglon.
- Windber has higher obesity rates at 41.2% compared to 0.0% in Eglon.
- There is a higher percentage of disabled individuals in Windber at 13.0% compared to 0.0% in Eglon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eglon | Windber |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (24) |
| High School Diploma | 0.0% (Data is updating) | 38.3% (1,484) |
| Less than High School | 0.0% (Data is updating) | 6.9% (268) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.8% (496) |
Education Levels Comparison: Eglon vs Windber
- In Windber, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Eglon.
- In Windber, the rate of residents with high school diplomas is higher at 38.3% compared to 0.0% in Eglon.
- The percentage of residents with less than a high school education is higher in Windber at 6.9%, compared to 0.0% in Eglon.
- In Windber, a larger share of residents have a bachelor's degree or higher at 12.8% compared to 0.0% in Eglon.
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.