Demographics details for Enola, PA vs Cullom, IL
Population Overview
Compare main population characteristics in Enola, PA vs Cullom, IL.
| Data | Enola | Cullom |
|---|---|---|
| Population | 6,111 | 511 |
| Median Age | 37.0 years | 41.6 years |
| Median Income | $65,000 | $58,472 |
| Married Families | 52.0% | 35.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Enola vs Cullom
- In Enola, the population is higher at 6,111, compared to 511 in Cullom.
- The median age in Cullom is higher at 41.6 years, compared to 37.0 years in Enola.
- Enola has a higher median income of $65,000 compared to $58,472 in Cullom.
- A higher percentage of married families is found in Enola at 52.0% compared to 35.0% in Cullom.
- Enola has a higher poverty level at 10% compared to 9% in Cullom.
- Cullom has a higher unemployment rate at 3.5% compared to 3.0% in Enola.
Demographics
Demographics Enola vs Cullom provide insight into the diversity of the communities to compare.
| Demographic | Enola | Cullom |
|---|---|---|
| Black | 5 | Data is updating |
| White | 85 | 82 |
| Asian | 5 | Data is updating |
| Hispanic | 4 | 11 |
| Two or More Races | 1 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Enola vs Cullom
- A higher percentage of Black residents are in Enola at 5% compared to 0% in Cullom.
- Enola has a higher percentage of White residents at 85% compared to 82% in Cullom.
- The Asian population is larger in Enola at 5% compared to 0% in Cullom.
- Cullom 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 Cullom at 7%, compared to 1% in Enola.
- The percentage of American Indian residents is the same in both Enola and Cullom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Enola | Cullom |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.2% |
| Physical Health Not Good | Data is updating% | 11.6% |
| Depression | Data is updating% | 23.0% |
| Smoking | Data is updating% | 18.7% |
| Binge Drinking | Data is updating% | 17.9% |
| Obesity | Data is updating% | 38.7% |
| Disability Percentage | Data is updating% | 23.0% |
Health Statistics Comparison: Enola vs Cullom
- In Cullom, a higher percentage report poor mental health at 17.2% compared to 0.0% in Enola.
- Higher depression rates are seen in Cullom at 23.0% versus 0.0% in Enola.
- Cullom has a higher smoking rate at 18.7% compared to 0.0% in Enola.
- More residents engage in binge drinking in Cullom at 17.9% compared to 0.0% in Enola.
- Cullom has higher obesity rates at 38.7% compared to 0.0% in Enola.
- There is a higher percentage of disabled individuals in Cullom at 23.0% 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 | Cullom |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.2% (11) |
| High School Diploma | 0.0% (Data is updating) | 19.0% (97) |
| Less than High School | 0.0% (Data is updating) | 11.4% (58) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 9.4% (48) |
Education Levels Comparison: Enola vs Cullom
- In Cullom, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Enola.
- In Cullom, the rate of residents with high school diplomas is higher at 19.0% compared to 0.0% in Enola.
- The percentage of residents with less than a high school education is higher in Cullom at 11.4%, compared to 0.0% in Enola.
- In Cullom, a larger share of residents have a bachelor's degree or higher at 9.4% 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.