Demographics details for Enola, PA vs Lombard, IL
Population Overview
Compare main population characteristics in Enola, PA vs Lombard, IL.
| Data | Enola | Lombard |
|---|---|---|
| Population | 6,111 | 43,856 |
| Median Age | 37.0 years | 37.7 years |
| Median Income | $65,000 | $95,509 |
| Married Families | 52.0% | 44.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.0 | 5.2 |
Population Comparison: Enola vs Lombard
- The population in Lombard is higher at 43,856, compared to 6,111 in Enola.
- The median age in Lombard is higher at 37.7 years, compared to 37.0 years in Enola.
- Lombard has a higher median income of $95,509, compared to $65,000 in Enola.
- A higher percentage of married families is found in Enola at 52.0% compared to 44.0% in Lombard.
- Enola has a higher poverty level at 10% compared to 5% in Lombard.
- Lombard has a higher unemployment rate at 5.2% compared to 3.0% in Enola.
Demographics
Demographics Enola vs Lombard provide insight into the diversity of the communities to compare.
| Demographic | Enola | Lombard |
|---|---|---|
| Black | 5 | 5 |
| White | 85 | 65 |
| Asian | 5 | 12 |
| Hispanic | 4 | 11 |
| Two or More Races | 1 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Enola vs Lombard
- The percentage of Black residents is the same in both Enola and Lombard at 5%.
- Enola has a higher percentage of White residents at 85% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 5% in Enola.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 4% in Enola.
- The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 1% in Enola.
- The percentage of American Indian residents is the same in both Enola and Lombard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Enola | Lombard |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.0% |
| Physical Health Not Good | Data is updating% | 8.5% |
| Depression | Data is updating% | 17.9% |
| Smoking | Data is updating% | 11.8% |
| Binge Drinking | Data is updating% | 16.7% |
| Obesity | Data is updating% | 30.9% |
| Disability Percentage | Data is updating% | 9.0% |
Health Statistics Comparison: Enola vs Lombard
- In Lombard, a higher percentage report poor mental health at 13.0% compared to 0.0% in Enola.
- Higher depression rates are seen in Lombard at 17.9% versus 0.0% in Enola.
- Lombard has a higher smoking rate at 11.8% compared to 0.0% in Enola.
- More residents engage in binge drinking in Lombard at 16.7% compared to 0.0% in Enola.
- Lombard has higher obesity rates at 30.9% compared to 0.0% in Enola.
- There is a higher percentage of disabled individuals in Lombard at 9.0% 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 | Lombard |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (166) |
| High School Diploma | 0.0% (Data is updating) | 13.2% (5,778) |
| Less than High School | 0.0% (Data is updating) | 3.9% (1,716) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 35.6% (15,594) |
Education Levels Comparison: Enola vs Lombard
- In Lombard, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Enola.
- In Lombard, the rate of residents with high school diplomas is higher at 13.2% compared to 0.0% in Enola.
- The percentage of residents with less than a high school education is higher in Lombard at 3.9%, compared to 0.0% in Enola.
- In Lombard, a larger share of residents have a bachelor's degree or higher at 35.6% 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.