Demographics details for Enola, PA vs Ballard, WV
Population Overview
Compare main population characteristics in Enola, PA vs Ballard, WV.
| Data | Enola | Ballard |
|---|---|---|
| Population | 6,111 | 187 |
| Median Age | 37.0 years | 40.0 years |
| Median Income | $65,000 | $60,000 |
| Married Families | 52.0% | 50.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.0 | 5.0 |
Population Comparison: Enola vs Ballard
- In Enola, the population is higher at 6,111, compared to 187 in Ballard.
- The median age in Ballard is higher at 40.0 years, compared to 37.0 years in Enola.
- Enola has a higher median income of $65,000 compared to $60,000 in Ballard.
- A higher percentage of married families is found in Enola at 52.0% compared to 50.0% in Ballard.
- The poverty level is higher in Ballard at 12%, compared to 10% in Enola.
- Ballard has a higher unemployment rate at 5.0% compared to 3.0% in Enola.
Demographics
Demographics Enola vs Ballard provide insight into the diversity of the communities to compare.
| Demographic | Enola | Ballard |
|---|---|---|
| Black | 5 | Data is updating |
| White | 85 | 100 |
| Asian | 5 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Enola vs Ballard
- A higher percentage of Black residents are in Enola at 5% compared to 0% in Ballard.
- The percentage of White residents is higher in Ballard at 100% compared to 85% in Enola.
- The Asian population is larger in Enola at 5% compared to 0% in Ballard.
- The Hispanic community is larger in Enola at 4% compared to 0% in Ballard.
- More residents identify as two or more races in Enola at 1% compared to 0% in Ballard.
- The percentage of American Indian residents is the same in both Enola and Ballard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Enola | Ballard |
|---|---|---|
| Mental Health Not Good | Data is updating% | Data is updating% |
| Physical Health Not Good | Data is updating% | Data is updating% |
| Depression | Data is updating% | Data is updating% |
| Smoking | Data is updating% | Data is updating% |
| Binge Drinking | Data is updating% | Data is updating% |
| Obesity | Data is updating% | Data is updating% |
| Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Enola vs Ballard
- Poor mental health levels are equal in both Enola and Ballard at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Enola and Ballard at 0.0%.
- Binge drinking rates are similar in both Enola and Ballard at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Enola and Ballard at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Enola | Ballard |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Enola vs Ballard
- The percentage of residents with no formal schooling is the same in both Enola and Ballard at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Enola and Ballard at 0.0%.
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.