Demographics details for Glen ellyn, IL vs Marietta, GA
Population Overview
Compare main population characteristics in Glen ellyn, IL vs Marietta, GA.
| Data | Glen ellyn | Marietta |
|---|---|---|
| Population | 28,364 | 62,602 |
| Median Age | 41.6 years | 35.2 years |
| Median Income | $128,132 | $67,589 |
| Married Families | 48.0% | 31.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 5.6 | 3.5 |
Population Comparison: Glen ellyn vs Marietta
- The population in Marietta is higher at 62,602, compared to 28,364 in Glen ellyn.
- Residents in Glen ellyn have a higher median age of 41.6 years compared to 35.2 years in Marietta.
- Glen ellyn has a higher median income of $128,132 compared to $67,589 in Marietta.
- A higher percentage of married families is found in Glen ellyn at 48.0% compared to 31.0% in Marietta.
- The poverty level is higher in Marietta at 11%, compared to 5% in Glen ellyn.
- The unemployment rate in Glen ellyn is higher at 5.6%, compared to 3.5% in Marietta.
Demographics
Demographics Glen ellyn vs Marietta provide insight into the diversity of the communities to compare.
| Demographic | Glen ellyn | Marietta |
|---|---|---|
| Black | 3 | 30 |
| White | 78 | 41 |
| Asian | 9 | 2 |
| Hispanic | 5 | 18 |
| Two or More Races | 5 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Glen ellyn vs Marietta
- In Marietta, the percentage of Black residents is higher at 30% compared to 3% in Glen ellyn.
- Glen ellyn has a higher percentage of White residents at 78% compared to 41% in Marietta.
- The Asian population is larger in Glen ellyn at 9% compared to 2% in Marietta.
- Marietta has a higher percentage of Hispanic residents at 18%, compared to 5% in Glen ellyn.
- The percentage of residents identifying as two or more races is higher in Marietta at 8%, compared to 5% in Glen ellyn.
- In Marietta, 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 | Marietta |
|---|---|---|
| Mental Health Not Good | 11.9% | 15.1% |
| Physical Health Not Good | 7.4% | 11.1% |
| Depression | 17.3% | 18.1% |
| Smoking | 9.4% | 14.5% |
| Binge Drinking | 17.2% | 14.5% |
| Obesity | 29.2% | 32.3% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Glen ellyn vs Marietta
- In Marietta, a higher percentage report poor mental health at 15.1% compared to 11.9% in Glen ellyn.
- Higher depression rates are seen in Marietta at 18.1% versus 17.3% in Glen ellyn.
- Marietta has a higher smoking rate at 14.5% compared to 9.4% in Glen ellyn.
- Binge drinking is more common in Glen ellyn at 17.2% compared to 14.5% in Marietta.
- Marietta has higher obesity rates at 32.3% compared to 29.2% in Glen ellyn.
- Disability percentages are the same in both Glen ellyn and Marietta at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Glen ellyn | Marietta |
|---|---|---|
| No Schooling | 0.3% (93) | 1.8% (1,148) |
| High School Diploma | 6.4% (1,815) | 10.0% (6,250) |
| Less than High School | 4.1% (1,149) | 13.1% (8,224) |
| Bachelor's Degree and Higher | 45.8% (12,997) | 29.9% (18,706) |
Education Levels Comparison: Glen ellyn vs Marietta
- In Marietta, a larger percentage of residents lack formal schooling at 1.8% compared to 0.3% in Glen ellyn.
- In Marietta, the rate of residents with high school diplomas is higher at 10.0% compared to 6.4% in Glen ellyn.
- The percentage of residents with less than a high school education is higher in Marietta at 13.1%, 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 29.9% in Marietta.
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.