Demographics details for Oxnard, CA vs Glen ellyn, IL
Population Overview
Compare main population characteristics in Oxnard, CA vs Glen ellyn, IL.
| Data | Oxnard | Glen ellyn |
|---|---|---|
| Population | 200,415 | 28,364 |
| Median Age | 33.5 years | 41.6 years |
| Median Income | $90,409 | $128,132 |
| Married Families | 34.0% | 48.0% |
| Poverty Level | 11% | 5% |
| Unemployment Rate | 4.9 | 5.6 |
Population Comparison: Oxnard vs Glen ellyn
- In Oxnard, the population is higher at 200,415, compared to 28,364 in Glen ellyn.
- The median age in Glen ellyn is higher at 41.6 years, compared to 33.5 years in Oxnard.
- Glen ellyn has a higher median income of $128,132, compared to $90,409 in Oxnard.
- In Glen ellyn, the percentage of married families is higher at 48.0%, compared to 34.0% in Oxnard.
- Oxnard has a higher poverty level at 11% compared to 5% in Glen ellyn.
- Glen ellyn has a higher unemployment rate at 5.6% compared to 4.9% in Oxnard.
Demographics
Demographics Oxnard vs Glen ellyn provide insight into the diversity of the communities to compare.
| Demographic | Oxnard | Glen ellyn |
|---|---|---|
| Black | 2 | 3 |
| White | -16 | 78 |
| Asian | 7 | 9 |
| Hispanic | 77 | 5 |
| Two or More Races | 27 | 5 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Oxnard vs Glen ellyn
- In Glen ellyn, the percentage of Black residents is higher at 3% compared to 2% in Oxnard.
- The percentage of White residents is higher in Glen ellyn at 78% compared to -16% in Oxnard.
- In Glen ellyn, the Asian population stands at 9%, greater than 7% in Oxnard.
- The Hispanic community is larger in Oxnard at 77% compared to 5% in Glen ellyn.
- More residents identify as two or more races in Oxnard at 27% compared to 5% in Glen ellyn.
- A greater percentage of American Indian residents live in Oxnard at 3% compared to 0% in Glen ellyn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxnard | Glen ellyn |
|---|---|---|
| Mental Health Not Good | 15.8% | 11.9% |
| Physical Health Not Good | 13.1% | 7.4% |
| Depression | 17.0% | 17.3% |
| Smoking | 13.2% | 9.4% |
| Binge Drinking | 15.1% | 17.2% |
| Obesity | 30.3% | 29.2% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Oxnard vs Glen ellyn
- More residents in Oxnard report poor mental health at 15.8% compared to 11.9% in Glen ellyn.
- Higher depression rates are seen in Glen ellyn at 17.3% versus 17.0% in Oxnard.
- Smoking is more prevalent in Oxnard at 13.2% compared to 9.4% in Glen ellyn.
- More residents engage in binge drinking in Glen ellyn at 17.2% compared to 15.1% in Oxnard.
- Obesity rates are higher in Oxnard at 30.3% compared to 29.2% in Glen ellyn.
- Disability percentages are the same in both Oxnard and Glen ellyn at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxnard | Glen ellyn |
|---|---|---|
| No Schooling | 3.5% (7,053) | 0.3% (93) |
| High School Diploma | 15.0% (30,118) | 6.4% (1,815) |
| Less than High School | 38.1% (76,346) | 4.1% (1,149) |
| Bachelor's Degree and Higher | 12.3% (24,627) | 45.8% (12,997) |
Education Levels Comparison: Oxnard vs Glen ellyn
- A higher percentage of residents in Oxnard have no formal schooling at 3.5% compared to 0.3% in Glen ellyn.
- A higher percentage of residents in Oxnard hold a high school diploma at 15.0% compared to 6.4% in Glen ellyn.
- More residents in Oxnard have less than a high school education at 38.1% 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 12.3% in Oxnard.
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.