Demographics details for Pangburn, AR vs Glen ellyn, IL
Population Overview
Compare main population characteristics in Pangburn, AR vs Glen ellyn, IL.
| Data | Pangburn | Glen ellyn |
|---|---|---|
| Population | 503 | 28,364 |
| Median Age | 40.4 years | 41.6 years |
| Median Income | $29,024 | $128,132 |
| Married Families | 42.0% | 48.0% |
| Poverty Level | 18% | 5% |
| Unemployment Rate | 4.5 | 5.6 |
Population Comparison: Pangburn vs Glen ellyn
- The population in Glen ellyn is higher at 28,364, compared to 503 in Pangburn.
- The median age in Glen ellyn is higher at 41.6 years, compared to 40.4 years in Pangburn.
- Glen ellyn has a higher median income of $128,132, compared to $29,024 in Pangburn.
- In Glen ellyn, the percentage of married families is higher at 48.0%, compared to 42.0% in Pangburn.
- Pangburn has a higher poverty level at 18% compared to 5% in Glen ellyn.
- Glen ellyn has a higher unemployment rate at 5.6% compared to 4.5% in Pangburn.
Demographics
Demographics Pangburn vs Glen ellyn provide insight into the diversity of the communities to compare.
| Demographic | Pangburn | Glen ellyn |
|---|---|---|
| Black | Data is updating | 3 |
| White | 94 | 78 |
| Asian | Data is updating | 9 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pangburn vs Glen ellyn
- In Glen ellyn, the percentage of Black residents is higher at 3% compared to 0% in Pangburn.
- Pangburn has a higher percentage of White residents at 94% compared to 78% in Glen ellyn.
- In Glen ellyn, the Asian population stands at 9%, greater than 0% in Pangburn.
- Glen ellyn has a higher percentage of Hispanic residents at 5%, compared to 0% in Pangburn.
- More residents identify as two or more races in Pangburn at 6% compared to 5% in Glen ellyn.
- The percentage of American Indian residents is the same in both Pangburn and Glen ellyn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pangburn | Glen ellyn |
|---|---|---|
| Mental Health Not Good | 19.9% | 11.9% |
| Physical Health Not Good | 14.2% | 7.4% |
| Depression | 27.4% | 17.3% |
| Smoking | 24.3% | 9.4% |
| Binge Drinking | 15.1% | 17.2% |
| Obesity | 36.5% | 29.2% |
| Disability Percentage | 28.0% | 9.0% |
Health Statistics Comparison: Pangburn vs Glen ellyn
- More residents in Pangburn report poor mental health at 19.9% compared to 11.9% in Glen ellyn.
- Depression is more prevalent in Pangburn at 27.4% compared to 17.3% in Glen ellyn.
- Smoking is more prevalent in Pangburn at 24.3% compared to 9.4% in Glen ellyn.
- More residents engage in binge drinking in Glen ellyn at 17.2% compared to 15.1% in Pangburn.
- Obesity rates are higher in Pangburn at 36.5% compared to 29.2% in Glen ellyn.
- Disability percentages are higher in Pangburn at 28.0% 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 | Pangburn | Glen ellyn |
|---|---|---|
| No Schooling | 0.4% (2) | 0.3% (93) |
| High School Diploma | 35.8% (180) | 6.4% (1,815) |
| Less than High School | 12.1% (61) | 4.1% (1,149) |
| Bachelor's Degree and Higher | 8.0% (40) | 45.8% (12,997) |
Education Levels Comparison: Pangburn vs Glen ellyn
- A higher percentage of residents in Pangburn have no formal schooling at 0.4% compared to 0.3% in Glen ellyn.
- A higher percentage of residents in Pangburn hold a high school diploma at 35.8% compared to 6.4% in Glen ellyn.
- More residents in Pangburn have less than a high school education at 12.1% compared to 4.1% in Glen ellyn.
- In Glen ellyn, a larger share of residents have a bachelor's degree or higher at 45.8% compared to 8.0% in Pangburn.
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.