Demographics details for Enola, PA vs Springfield, IL
Population Overview
Compare main population characteristics in Enola, PA vs Springfield, IL.
| Data | Enola | Springfield |
|---|---|---|
| Population | 6,111 | 113,273 |
| Median Age | 37.0 years | 40.1 years |
| Median Income | $65,000 | $62,419 |
| Married Families | 52.0% | 33.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.0 | 5.8 |
Population Comparison: Enola vs Springfield
- The population in Springfield is higher at 113,273, compared to 6,111 in Enola.
- The median age in Springfield is higher at 40.1 years, compared to 37.0 years in Enola.
- Enola has a higher median income of $65,000 compared to $62,419 in Springfield.
- A higher percentage of married families is found in Enola at 52.0% compared to 33.0% in Springfield.
- The poverty level is higher in Springfield at 12%, compared to 10% in Enola.
- Springfield has a higher unemployment rate at 5.8% compared to 3.0% in Enola.
Demographics
Demographics Enola vs Springfield provide insight into the diversity of the communities to compare.
| Demographic | Enola | Springfield |
|---|---|---|
| Black | 5 | 20 |
| White | 85 | 69 |
| Asian | 5 | 3 |
| Hispanic | 4 | 3 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Enola vs Springfield
- In Springfield, the percentage of Black residents is higher at 20% compared to 5% in Enola.
- Enola has a higher percentage of White residents at 85% compared to 69% in Springfield.
- The Asian population is larger in Enola at 5% compared to 3% in Springfield.
- The Hispanic community is larger in Enola at 4% compared to 3% in Springfield.
- The percentage of residents identifying as two or more races is higher in Springfield at 5%, compared to 1% in Enola.
- The percentage of American Indian residents is the same in both Enola and Springfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Enola | Springfield |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.3% |
| Physical Health Not Good | Data is updating% | 11.5% |
| Depression | Data is updating% | 21.5% |
| Smoking | Data is updating% | 17.8% |
| Binge Drinking | Data is updating% | 17.4% |
| Obesity | Data is updating% | 36.1% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Enola vs Springfield
- In Springfield, a higher percentage report poor mental health at 16.3% compared to 0.0% in Enola.
- Higher depression rates are seen in Springfield at 21.5% versus 0.0% in Enola.
- Springfield has a higher smoking rate at 17.8% compared to 0.0% in Enola.
- More residents engage in binge drinking in Springfield at 17.4% compared to 0.0% in Enola.
- Springfield has higher obesity rates at 36.1% compared to 0.0% in Enola.
- There is a higher percentage of disabled individuals in Springfield at 15.0% 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 | Enola | Springfield |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (542) |
| High School Diploma | 0.0% (Data is updating) | 16.4% (18,528) |
| Less than High School | 0.0% (Data is updating) | 8.9% (10,102) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 24.4% (27,677) |
Education Levels Comparison: Enola vs Springfield
- In Springfield, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Enola.
- In Springfield, the rate of residents with high school diplomas is higher at 16.4% compared to 0.0% in Enola.
- The percentage of residents with less than a high school education is higher in Springfield at 8.9%, compared to 0.0% in Enola.
- In Springfield, a larger share of residents have a bachelor's degree or higher at 24.4% 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.