Demographics details for Crystal lake, IL vs Enola, PA
Population Overview
Compare main population characteristics in Crystal lake, IL vs Enola, PA.
| Data | Crystal lake | Enola |
|---|---|---|
| Population | 40,661 | 6,111 |
| Median Age | 39.9 years | 37.0 years |
| Median Income | $103,018 | $65,000 |
| Married Families | 46.0% | 52.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 5.4 | 3.0 |
Population Comparison: Crystal lake vs Enola
- In Crystal lake, the population is higher at 40,661, compared to 6,111 in Enola.
- Residents in Crystal lake have a higher median age of 39.9 years compared to 37.0 years in Enola.
- Crystal lake has a higher median income of $103,018 compared to $65,000 in Enola.
- In Enola, the percentage of married families is higher at 52.0%, compared to 46.0% in Crystal lake.
- The poverty level is higher in Enola at 10%, compared to 5% in Crystal lake.
- The unemployment rate in Crystal lake is higher at 5.4%, compared to 3.0% in Enola.
Demographics
Demographics Crystal lake vs Enola provide insight into the diversity of the communities to compare.
| Demographic | Crystal lake | Enola |
|---|---|---|
| Black | 1 | 5 |
| White | 79 | 85 |
| Asian | 4 | 5 |
| Hispanic | 11 | 4 |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Crystal lake vs Enola
- In Enola, the percentage of Black residents is higher at 5% compared to 1% in Crystal lake.
- The percentage of White residents is higher in Enola at 85% compared to 79% in Crystal lake.
- In Enola, the Asian population stands at 5%, greater than 4% in Crystal lake.
- The Hispanic community is larger in Crystal lake at 11% compared to 4% in Enola.
- More residents identify as two or more races in Crystal lake at 5% compared to 1% in Enola.
- The percentage of American Indian residents is the same in both Crystal lake and Enola at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Crystal lake | Enola |
|---|---|---|
| Mental Health Not Good | 14.0% | Data is updating% |
| Physical Health Not Good | 8.9% | Data is updating% |
| Depression | 19.6% | Data is updating% |
| Smoking | 12.3% | Data is updating% |
| Binge Drinking | 18.9% | Data is updating% |
| Obesity | 29.5% | Data is updating% |
| Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Crystal lake vs Enola
- More residents in Crystal lake report poor mental health at 14.0% compared to 0.0% in Enola.
- Depression is more prevalent in Crystal lake at 19.6% compared to 0.0% in Enola.
- Smoking is more prevalent in Crystal lake at 12.3% compared to 0.0% in Enola.
- Binge drinking is more common in Crystal lake at 18.9% compared to 0.0% in Enola.
- Obesity rates are higher in Crystal lake at 29.5% compared to 0.0% in Enola.
- Disability percentages are higher in Crystal lake 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 | Crystal lake | Enola |
|---|---|---|
| No Schooling | 0.2% (95) | 0.0% (Data is updating) |
| High School Diploma | 13.8% (5,614) | 0.0% (Data is updating) |
| Less than High School | 5.8% (2,362) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 27.1% (11,028) | 0.0% (Data is updating) |
Education Levels Comparison: Crystal lake vs Enola
- A higher percentage of residents in Crystal lake have no formal schooling at 0.2% compared to 0.0% in Enola.
- A higher percentage of residents in Crystal lake hold a high school diploma at 13.8% compared to 0.0% in Enola.
- More residents in Crystal lake have less than a high school education at 5.8% compared to 0.0% in Enola.
- A higher percentage of residents in Crystal lake hold a bachelor's degree or higher at 27.1% 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.