Demographics details for Pasadena, MD vs Glen ellyn, IL
Population Overview
Compare main population characteristics in Pasadena, MD vs Glen ellyn, IL.
Data | Pasadena | Glen ellyn |
---|---|---|
Population | 32,161 | 28,364 |
Median Age | 35.1 years | 41.6 years |
Median Income | $113,944 | $128,132 |
Married Families | 43.0% | 48.0% |
Poverty Level | 6% | 5% |
Unemployment Rate | 4.5 | 5.6 |
Population Comparison: Pasadena vs Glen ellyn
- In Pasadena, the population is higher at 32,161, compared to 28,364 in Glen ellyn.
- The median age in Glen ellyn is higher at 41.6 years, compared to 35.1 years in Pasadena.
- Glen ellyn has a higher median income of $128,132, compared to $113,944 in Pasadena.
- In Glen ellyn, the percentage of married families is higher at 48.0%, compared to 43.0% in Pasadena.
- Pasadena has a higher poverty level at 6% compared to 5% in Glen ellyn.
- Glen ellyn has a higher unemployment rate at 5.6% compared to 4.5% in Pasadena.
Demographics
Demographics Pasadena vs Glen ellyn provide insight into the diversity of the communities to compare.
Demographic | Pasadena | Glen ellyn |
---|---|---|
Black | 17 | 3 |
White | 66 | 78 |
Asian | 4 | 9 |
Hispanic | 7 | 5 |
Two or More Races | 6 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pasadena vs Glen ellyn
- A higher percentage of Black residents are in Pasadena at 17% compared to 3% in Glen ellyn.
- The percentage of White residents is higher in Glen ellyn at 78% compared to 66% in Pasadena.
- In Glen ellyn, the Asian population stands at 9%, greater than 4% in Pasadena.
- The Hispanic community is larger in Pasadena at 7% compared to 5% in Glen ellyn.
- More residents identify as two or more races in Pasadena at 6% compared to 5% in Glen ellyn.
- The percentage of American Indian residents is the same in both Pasadena and Glen ellyn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pasadena | Glen ellyn |
---|---|---|
Mental Health Not Good | 15.4% | 11.9% |
Physical Health Not Good | 9.3% | 7.4% |
Depression | 21.4% | 17.3% |
Smoking | 13.2% | 9.4% |
Binge Drinking | 17.8% | 17.2% |
Obesity | 35.6% | 29.2% |
Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Pasadena vs Glen ellyn
- More residents in Pasadena report poor mental health at 15.4% compared to 11.9% in Glen ellyn.
- Depression is more prevalent in Pasadena at 21.4% compared to 17.3% in Glen ellyn.
- Smoking is more prevalent in Pasadena at 13.2% compared to 9.4% in Glen ellyn.
- Binge drinking is more common in Pasadena at 17.8% compared to 17.2% in Glen ellyn.
- Obesity rates are higher in Pasadena at 35.6% compared to 29.2% in Glen ellyn.
- Disability percentages are higher in Pasadena at 10.0% 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 | Pasadena | Glen ellyn |
---|---|---|
No Schooling | 0.6% (191) | 0.3% (93) |
High School Diploma | 17.5% (5,624) | 6.4% (1,815) |
Less than High School | 8.8% (2,835) | 4.1% (1,149) |
Bachelor's Degree and Higher | 23.8% (7,658) | 45.8% (12,997) |
Education Levels Comparison: Pasadena vs Glen ellyn
- A higher percentage of residents in Pasadena have no formal schooling at 0.6% compared to 0.3% in Glen ellyn.
- A higher percentage of residents in Pasadena hold a high school diploma at 17.5% compared to 6.4% in Glen ellyn.
- More residents in Pasadena have less than a high school education at 8.8% 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 23.8% in Pasadena.
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.