Demographics details for Glen ellyn, IL vs Peru, NY
Population Overview
Compare main population characteristics in Glen ellyn, IL vs Peru, NY.
| Data | Glen ellyn | Peru |
|---|---|---|
| Population | 28,364 | 6,998 |
| Median Age | 41.6 years | 41.0 years |
| Median Income | $128,132 | $73,000 |
| Married Families | 48.0% | 60.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 5.6 | 4.0 |
Population Comparison: Glen ellyn vs Peru
- In Glen ellyn, the population is higher at 28,364, compared to 6,998 in Peru.
- Residents in Glen ellyn have a higher median age of 41.6 years compared to 41.0 years in Peru.
- Glen ellyn has a higher median income of $128,132 compared to $73,000 in Peru.
- In Peru, the percentage of married families is higher at 60.0%, compared to 48.0% in Glen ellyn.
- The poverty level is higher in Peru at 10%, compared to 5% in Glen ellyn.
- The unemployment rate in Glen ellyn is higher at 5.6%, compared to 4.0% in Peru.
Demographics
Demographics Glen ellyn vs Peru provide insight into the diversity of the communities to compare.
| Demographic | Glen ellyn | Peru |
|---|---|---|
| Black | 3 | 1 |
| White | 78 | 95 |
| Asian | 9 | 1 |
| Hispanic | 5 | 3 |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Glen ellyn vs Peru
- A higher percentage of Black residents are in Glen ellyn at 3% compared to 1% in Peru.
- The percentage of White residents is higher in Peru at 95% compared to 78% in Glen ellyn.
- The Asian population is larger in Glen ellyn at 9% compared to 1% in Peru.
- The Hispanic community is larger in Glen ellyn at 5% compared to 3% in Peru.
- More residents identify as two or more races in Glen ellyn at 5% compared to 0% in Peru.
- The percentage of American Indian residents is the same in both Glen ellyn and Peru at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Glen ellyn | Peru |
|---|---|---|
| Mental Health Not Good | 11.9% | Data is updating% |
| Physical Health Not Good | 7.4% | Data is updating% |
| Depression | 17.3% | Data is updating% |
| Smoking | 9.4% | Data is updating% |
| Binge Drinking | 17.2% | Data is updating% |
| Obesity | 29.2% | Data is updating% |
| Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Glen ellyn vs Peru
- More residents in Glen ellyn report poor mental health at 11.9% compared to 0.0% in Peru.
- Depression is more prevalent in Glen ellyn at 17.3% compared to 0.0% in Peru.
- Smoking is more prevalent in Glen ellyn at 9.4% compared to 0.0% in Peru.
- Binge drinking is more common in Glen ellyn at 17.2% compared to 0.0% in Peru.
- Obesity rates are higher in Glen ellyn at 29.2% compared to 0.0% in Peru.
- Disability percentages are higher in Glen ellyn at 9.0% compared to 0.0% in Peru.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Glen ellyn | Peru |
|---|---|---|
| No Schooling | 0.3% (93) | 0.0% (Data is updating) |
| High School Diploma | 6.4% (1,815) | 0.0% (Data is updating) |
| Less than High School | 4.1% (1,149) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 45.8% (12,997) | 0.0% (Data is updating) |
Education Levels Comparison: Glen ellyn vs Peru
- A higher percentage of residents in Glen ellyn have no formal schooling at 0.3% compared to 0.0% in Peru.
- A higher percentage of residents in Glen ellyn hold a high school diploma at 6.4% compared to 0.0% in Peru.
- More residents in Glen ellyn have less than a high school education at 4.1% compared to 0.0% in Peru.
- A higher percentage of residents in Glen ellyn hold a bachelor's degree or higher at 45.8% compared to 0.0% in Peru.
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.