Demographics details for Auburn, AL vs Glen ellyn, IL
Population Overview
Compare main population characteristics in Auburn, AL vs Glen ellyn, IL.
| Data | Auburn | Glen ellyn |
|---|---|---|
| Population | 80,006 | 28,364 |
| Median Age | 25.9 years | 41.6 years |
| Median Income | $55,509 | $128,132 |
| Married Families | 32.0% | 48.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.0 | 5.6 |
Population Comparison: Auburn vs Glen ellyn
- In Auburn, the population is higher at 80,006, compared to 28,364 in Glen ellyn.
- The median age in Glen ellyn is higher at 41.6 years, compared to 25.9 years in Auburn.
- Glen ellyn has a higher median income of $128,132, compared to $55,509 in Auburn.
- In Glen ellyn, the percentage of married families is higher at 48.0%, compared to 32.0% in Auburn.
- Auburn has a higher poverty level at 10% compared to 5% in Glen ellyn.
- Glen ellyn has a higher unemployment rate at 5.6% compared to 3.0% in Auburn.
Demographics
Demographics Auburn vs Glen ellyn provide insight into the diversity of the communities to compare.
| Demographic | Auburn | Glen ellyn |
|---|---|---|
| Black | 17 | 3 |
| White | 69 | 78 |
| Asian | 8 | 9 |
| Hispanic | 3 | 5 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Auburn vs Glen ellyn
- A higher percentage of Black residents are in Auburn at 17% compared to 3% in Glen ellyn.
- The percentage of White residents is higher in Glen ellyn at 78% compared to 69% in Auburn.
- In Glen ellyn, the Asian population stands at 9%, greater than 8% in Auburn.
- Glen ellyn has a higher percentage of Hispanic residents at 5%, compared to 3% in Auburn.
- The percentage of residents identifying as two or more races is higher in Glen ellyn at 5%, compared to 3% in Auburn.
- The percentage of American Indian residents is the same in both Auburn and Glen ellyn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Auburn | Glen ellyn |
|---|---|---|
| Mental Health Not Good | 17.6% | 11.9% |
| Physical Health Not Good | 12.0% | 7.4% |
| Depression | 22.0% | 17.3% |
| Smoking | 15.5% | 9.4% |
| Binge Drinking | 14.5% | 17.2% |
| Obesity | 38.7% | 29.2% |
| Disability Percentage | 8.0% | 9.0% |
Health Statistics Comparison: Auburn vs Glen ellyn
- More residents in Auburn report poor mental health at 17.6% compared to 11.9% in Glen ellyn.
- Depression is more prevalent in Auburn at 22.0% compared to 17.3% in Glen ellyn.
- Smoking is more prevalent in Auburn at 15.5% compared to 9.4% in Glen ellyn.
- More residents engage in binge drinking in Glen ellyn at 17.2% compared to 14.5% in Auburn.
- Obesity rates are higher in Auburn at 38.7% compared to 29.2% in Glen ellyn.
- There is a higher percentage of disabled individuals in Glen ellyn at 9.0% compared to 8.0% in Auburn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Auburn | Glen ellyn |
|---|---|---|
| No Schooling | 0.3% (236) | 0.3% (93) |
| High School Diploma | 5.3% (4,206) | 6.4% (1,815) |
| Less than High School | 2.5% (1,964) | 4.1% (1,149) |
| Bachelor's Degree and Higher | 30.7% (24,546) | 45.8% (12,997) |
Education Levels Comparison: Auburn vs Glen ellyn
- The percentage of residents with no formal schooling is the same in both Auburn and Glen ellyn at 0.3%.
- In Glen ellyn, the rate of residents with high school diplomas is higher at 6.4% compared to 5.3% in Auburn.
- The percentage of residents with less than a high school education is higher in Glen ellyn at 4.1%, compared to 2.5% in Auburn.
- In Glen ellyn, a larger share of residents have a bachelor's degree or higher at 45.8% compared to 30.7% in Auburn.
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.