Demographics details for Glen ellyn, IL vs Hope, AR
Population Overview
Compare main population characteristics in Glen ellyn, IL vs Hope, AR.
| Data | Glen ellyn | Hope |
|---|---|---|
| Population | 28,364 | 8,624 |
| Median Age | 41.6 years | 36.2 years |
| Median Income | $128,132 | $43,018 |
| Married Families | 48.0% | 29.0% |
| Poverty Level | 5% | 20% |
| Unemployment Rate | 5.6 | 4.5 |
Population Comparison: Glen ellyn vs Hope
- In Glen ellyn, the population is higher at 28,364, compared to 8,624 in Hope.
- Residents in Glen ellyn have a higher median age of 41.6 years compared to 36.2 years in Hope.
- Glen ellyn has a higher median income of $128,132 compared to $43,018 in Hope.
- A higher percentage of married families is found in Glen ellyn at 48.0% compared to 29.0% in Hope.
- The poverty level is higher in Hope at 20%, compared to 5% in Glen ellyn.
- The unemployment rate in Glen ellyn is higher at 5.6%, compared to 4.5% in Hope.
Demographics
Demographics Glen ellyn vs Hope provide insight into the diversity of the communities to compare.
| Demographic | Glen ellyn | Hope |
|---|---|---|
| Black | 3 | 48 |
| White | 78 | 28 |
| Asian | 9 | Data is updating |
| Hispanic | 5 | 19 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Glen ellyn vs Hope
- In Hope, the percentage of Black residents is higher at 48% compared to 3% in Glen ellyn.
- Glen ellyn has a higher percentage of White residents at 78% compared to 28% in Hope.
- The Asian population is larger in Glen ellyn at 9% compared to 0% in Hope.
- Hope has a higher percentage of Hispanic residents at 19%, compared to 5% in Glen ellyn.
- More residents identify as two or more races in Glen ellyn at 5% compared to 4% in Hope.
- In Hope, the percentage of American Indian residents is higher at 1%, compared to 0% in Glen ellyn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Glen ellyn | Hope |
|---|---|---|
| Mental Health Not Good | 11.9% | 20.9% |
| Physical Health Not Good | 7.4% | 16.6% |
| Depression | 17.3% | 24.8% |
| Smoking | 9.4% | 25.2% |
| Binge Drinking | 17.2% | 12.1% |
| Obesity | 29.2% | 48.0% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Glen ellyn vs Hope
- In Hope, a higher percentage report poor mental health at 20.9% compared to 11.9% in Glen ellyn.
- Higher depression rates are seen in Hope at 24.8% versus 17.3% in Glen ellyn.
- Hope has a higher smoking rate at 25.2% compared to 9.4% in Glen ellyn.
- Binge drinking is more common in Glen ellyn at 17.2% compared to 12.1% in Hope.
- Hope has higher obesity rates at 48.0% compared to 29.2% in Glen ellyn.
- There is a higher percentage of disabled individuals in Hope at 20.0% compared to 9.0% in Glen ellyn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Glen ellyn | Hope |
|---|---|---|
| No Schooling | 0.3% (93) | 3.0% (258) |
| High School Diploma | 6.4% (1,815) | 20.8% (1,790) |
| Less than High School | 4.1% (1,149) | 19.0% (1,641) |
| Bachelor's Degree and Higher | 45.8% (12,997) | 10.0% (863) |
Education Levels Comparison: Glen ellyn vs Hope
- In Hope, a larger percentage of residents lack formal schooling at 3.0% compared to 0.3% in Glen ellyn.
- In Hope, the rate of residents with high school diplomas is higher at 20.8% compared to 6.4% in Glen ellyn.
- The percentage of residents with less than a high school education is higher in Hope at 19.0%, compared to 4.1% in Glen ellyn.
- A higher percentage of residents in Glen ellyn hold a bachelor's degree or higher at 45.8% compared to 10.0% in Hope.
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.