Demographics details for Catawba, SC vs Glen ellyn, IL
Population Overview
Compare main population characteristics in Catawba, SC vs Glen ellyn, IL.
| Data | Catawba | Glen ellyn |
|---|---|---|
| Population | 1,439 | 28,364 |
| Median Age | 32.7 years | 41.6 years |
| Median Income | $50,920 | $128,132 |
| Married Families | 33.0% | 48.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 5.6 |
Population Comparison: Catawba vs Glen ellyn
- The population in Glen ellyn is higher at 28,364, compared to 1,439 in Catawba.
- The median age in Glen ellyn is higher at 41.6 years, compared to 32.7 years in Catawba.
- Glen ellyn has a higher median income of $128,132, compared to $50,920 in Catawba.
- In Glen ellyn, the percentage of married families is higher at 48.0%, compared to 33.0% in Catawba.
- Catawba has a higher poverty level at 12% compared to 5% in Glen ellyn.
- Glen ellyn has a higher unemployment rate at 5.6% compared to 3.5% in Catawba.
Demographics
Demographics Catawba vs Glen ellyn provide insight into the diversity of the communities to compare.
| Demographic | Catawba | Glen ellyn |
|---|---|---|
| Black | 23 | 3 |
| White | 63 | 78 |
| Asian | 4 | 9 |
| Hispanic | 6 | 5 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Catawba vs Glen ellyn
- A higher percentage of Black residents are in Catawba at 23% compared to 3% in Glen ellyn.
- The percentage of White residents is higher in Glen ellyn at 78% compared to 63% in Catawba.
- In Glen ellyn, the Asian population stands at 9%, greater than 4% in Catawba.
- The Hispanic community is larger in Catawba at 6% compared to 5% in Glen ellyn.
- The percentage of residents identifying as two or more races is higher in Glen ellyn at 5%, compared to 4% in Catawba.
- The percentage of American Indian residents is the same in both Catawba and Glen ellyn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Catawba | Glen ellyn |
|---|---|---|
| Mental Health Not Good | 17.4% | 11.9% |
| Physical Health Not Good | 11.6% | 7.4% |
| Depression | 22.2% | 17.3% |
| Smoking | 17.0% | 9.4% |
| Binge Drinking | 18.3% | 17.2% |
| Obesity | 34.8% | 29.2% |
| Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Catawba vs Glen ellyn
- More residents in Catawba report poor mental health at 17.4% compared to 11.9% in Glen ellyn.
- Depression is more prevalent in Catawba at 22.2% compared to 17.3% in Glen ellyn.
- Smoking is more prevalent in Catawba at 17.0% compared to 9.4% in Glen ellyn.
- Binge drinking is more common in Catawba at 18.3% compared to 17.2% in Glen ellyn.
- Obesity rates are higher in Catawba at 34.8% compared to 29.2% in Glen ellyn.
- Disability percentages are higher in Catawba at 13.0% 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 | Catawba | Glen ellyn |
|---|---|---|
| No Schooling | 0.1% (1) | 0.3% (93) |
| High School Diploma | 11.5% (166) | 6.4% (1,815) |
| Less than High School | 15.7% (226) | 4.1% (1,149) |
| Bachelor's Degree and Higher | 21.5% (310) | 45.8% (12,997) |
Education Levels Comparison: Catawba vs Glen ellyn
- In Glen ellyn, a larger percentage of residents lack formal schooling at 0.3% compared to 0.1% in Catawba.
- A higher percentage of residents in Catawba hold a high school diploma at 11.5% compared to 6.4% in Glen ellyn.
- More residents in Catawba have less than a high school education at 15.7% 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 21.5% in Catawba.
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.