Demographics details for Glen ellyn, IL vs Long beach, CA
Population Overview
Compare main population characteristics in Glen ellyn, IL vs Long beach, CA.
Data | Glen ellyn | Long beach |
---|---|---|
Population | 28,364 | 451,307 |
Median Age | 41.6 years | 36.1 years |
Median Income | $128,132 | $78,995 |
Married Families | 48.0% | 32.0% |
Poverty Level | 5% | 18% |
Unemployment Rate | 5.6 | 6.0 |
Population Comparison: Glen ellyn vs Long beach
- The population in Long beach is higher at 451,307, compared to 28,364 in Glen ellyn.
- Residents in Glen ellyn have a higher median age of 41.6 years compared to 36.1 years in Long beach.
- Glen ellyn has a higher median income of $128,132 compared to $78,995 in Long beach.
- A higher percentage of married families is found in Glen ellyn at 48.0% compared to 32.0% in Long beach.
- The poverty level is higher in Long beach at 18%, compared to 5% in Glen ellyn.
- Long beach has a higher unemployment rate at 6.0% compared to 5.6% in Glen ellyn.
Demographics
Demographics Glen ellyn vs Long beach provide insight into the diversity of the communities to compare.
Demographic | Glen ellyn | Long beach |
---|---|---|
Black | 3 | 12 |
White | 78 | 17 |
Asian | 9 | 13 |
Hispanic | 5 | 45 |
Two or More Races | 5 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Glen ellyn vs Long beach
- In Long beach, the percentage of Black residents is higher at 12% compared to 3% in Glen ellyn.
- Glen ellyn has a higher percentage of White residents at 78% compared to 17% in Long beach.
- In Long beach, the Asian population stands at 13%, greater than 9% in Glen ellyn.
- Long beach has a higher percentage of Hispanic residents at 45%, compared to 5% in Glen ellyn.
- The percentage of residents identifying as two or more races is higher in Long beach at 12%, compared to 5% in Glen ellyn.
- In Long beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Glen ellyn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Glen ellyn | Long beach |
---|---|---|
Mental Health Not Good | 11.9% | 16.0% |
Physical Health Not Good | 7.4% | 11.6% |
Depression | 17.3% | 16.2% |
Smoking | 9.4% | 12.0% |
Binge Drinking | 17.2% | 14.9% |
Obesity | 29.2% | 29.3% |
Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Glen ellyn vs Long beach
- In Long beach, a higher percentage report poor mental health at 16.0% compared to 11.9% in Glen ellyn.
- Depression is more prevalent in Glen ellyn at 17.3% compared to 16.2% in Long beach.
- Long beach has a higher smoking rate at 12.0% compared to 9.4% in Glen ellyn.
- Binge drinking is more common in Glen ellyn at 17.2% compared to 14.9% in Long beach.
- Long beach has higher obesity rates at 29.3% compared to 29.2% in Glen ellyn.
- There is a higher percentage of disabled individuals in Long beach at 11.0% 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 | Glen ellyn | Long beach |
---|---|---|
No Schooling | 0.3% (93) | 4.6% (20,870) |
High School Diploma | 6.4% (1,815) | 11.0% (49,640) |
Less than High School | 4.1% (1,149) | 23.7% (106,838) |
Bachelor's Degree and Higher | 45.8% (12,997) | 23.8% (107,451) |
Education Levels Comparison: Glen ellyn vs Long beach
- In Long beach, a larger percentage of residents lack formal schooling at 4.6% compared to 0.3% in Glen ellyn.
- In Long beach, the rate of residents with high school diplomas is higher at 11.0% compared to 6.4% in Glen ellyn.
- The percentage of residents with less than a high school education is higher in Long beach at 23.7%, compared to 4.1% in Glen ellyn.
- A higher percentage of residents in Glen ellyn hold a bachelor's degree or higher at 45.8% compared to 23.8% in Long beach.
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.