Demographics details for Springfield, MA vs Enola, PA
Population Overview
Compare main population characteristics in Springfield, MA vs Enola, PA.
| Data | Springfield | Enola |
|---|---|---|
| Population | 154,064 | 6,111 |
| Median Age | 33.4 years | 37.0 years |
| Median Income | $47,677 | $65,000 |
| Married Families | 26.0% | 52.0% |
| Poverty Level | 20% | 10% |
| Unemployment Rate | 6.9 | 3.0 |
Population Comparison: Springfield vs Enola
- In Springfield, the population is higher at 154,064, compared to 6,111 in Enola.
- The median age in Enola is higher at 37.0 years, compared to 33.4 years in Springfield.
- Enola has a higher median income of $65,000, compared to $47,677 in Springfield.
- In Enola, the percentage of married families is higher at 52.0%, compared to 26.0% in Springfield.
- Springfield has a higher poverty level at 20% compared to 10% in Enola.
- The unemployment rate in Springfield is higher at 6.9%, compared to 3.0% in Enola.
Demographics
Demographics Springfield vs Enola provide insight into the diversity of the communities to compare.
| Demographic | Springfield | Enola |
|---|---|---|
| Black | 21 | 5 |
| White | 8 | 85 |
| Asian | 3 | 5 |
| Hispanic | 49 | 4 |
| Two or More Races | 19 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Enola
- A higher percentage of Black residents are in Springfield at 21% compared to 5% in Enola.
- The percentage of White residents is higher in Enola at 85% compared to 8% in Springfield.
- In Enola, the Asian population stands at 5%, greater than 3% in Springfield.
- The Hispanic community is larger in Springfield at 49% compared to 4% in Enola.
- More residents identify as two or more races in Springfield at 19% compared to 1% in Enola.
- The percentage of American Indian residents is the same in both Springfield and Enola at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Springfield | Enola |
|---|---|---|
| Mental Health Not Good | 21.2% | Data is updating% |
| Physical Health Not Good | 14.9% | Data is updating% |
| Depression | 25.8% | Data is updating% |
| Smoking | 19.9% | Data is updating% |
| Binge Drinking | 14.3% | Data is updating% |
| Obesity | 40.8% | Data is updating% |
| Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Springfield vs Enola
- More residents in Springfield report poor mental health at 21.2% compared to 0.0% in Enola.
- Depression is more prevalent in Springfield at 25.8% compared to 0.0% in Enola.
- Smoking is more prevalent in Springfield at 19.9% compared to 0.0% in Enola.
- Binge drinking is more common in Springfield at 14.3% compared to 0.0% in Enola.
- Obesity rates are higher in Springfield at 40.8% compared to 0.0% in Enola.
- Disability percentages are higher in Springfield at 19.0% compared to 0.0% in Enola.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Springfield | Enola |
|---|---|---|
| No Schooling | 2.0% (3,005) | 0.0% (Data is updating) |
| High School Diploma | 16.7% (25,679) | 0.0% (Data is updating) |
| Less than High School | 23.8% (36,663) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 12.7% (19,500) | 0.0% (Data is updating) |
Education Levels Comparison: Springfield vs Enola
- A higher percentage of residents in Springfield have no formal schooling at 2.0% compared to 0.0% in Enola.
- A higher percentage of residents in Springfield hold a high school diploma at 16.7% compared to 0.0% in Enola.
- More residents in Springfield have less than a high school education at 23.8% compared to 0.0% in Enola.
- A higher percentage of residents in Springfield hold a bachelor's degree or higher at 12.7% compared to 0.0% in Enola.
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.