Demographics details for Tea, SD vs Glen ellyn, IL
Population Overview
Compare main population characteristics in Tea, SD vs Glen ellyn, IL.
Data | Tea | Glen ellyn |
---|---|---|
Population | 6,918 | 28,364 |
Median Age | 30.2 years | 41.6 years |
Median Income | $99,153 | $128,132 |
Married Families | 39.0% | 48.0% |
Poverty Level | 6% | 5% |
Unemployment Rate | 2.5 | 5.6 |
Population Comparison: Tea vs Glen ellyn
- The population in Glen ellyn is higher at 28,364, compared to 6,918 in Tea.
- The median age in Glen ellyn is higher at 41.6 years, compared to 30.2 years in Tea.
- Glen ellyn has a higher median income of $128,132, compared to $99,153 in Tea.
- In Glen ellyn, the percentage of married families is higher at 48.0%, compared to 39.0% in Tea.
- Tea 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 2.5% in Tea.
Demographics
Demographics Tea vs Glen ellyn provide insight into the diversity of the communities to compare.
Demographic | Tea | Glen ellyn |
---|---|---|
Black | 2 | 3 |
White | 95 | 78 |
Asian | 1 | 9 |
Hispanic | Data is updating | 5 |
Two or More Races | 2 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Tea vs Glen ellyn
- In Glen ellyn, the percentage of Black residents is higher at 3% compared to 2% in Tea.
- Tea has a higher percentage of White residents at 95% compared to 78% in Glen ellyn.
- In Glen ellyn, the Asian population stands at 9%, greater than 1% in Tea.
- Glen ellyn has a higher percentage of Hispanic residents at 5%, compared to 0% in Tea.
- The percentage of residents identifying as two or more races is higher in Glen ellyn at 5%, compared to 2% in Tea.
- The percentage of American Indian residents is the same in both Tea and Glen ellyn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tea | Glen ellyn |
---|---|---|
Mental Health Not Good | 11.3% | 11.9% |
Physical Health Not Good | 7.7% | 7.4% |
Depression | 16.6% | 17.3% |
Smoking | 12.6% | 9.4% |
Binge Drinking | 21.6% | 17.2% |
Obesity | 34.5% | 29.2% |
Disability Percentage | 4.0% | 9.0% |
Health Statistics Comparison: Tea vs Glen ellyn
- In Glen ellyn, a higher percentage report poor mental health at 11.9% compared to 11.3% in Tea.
- Higher depression rates are seen in Glen ellyn at 17.3% versus 16.6% in Tea.
- Smoking is more prevalent in Tea at 12.6% compared to 9.4% in Glen ellyn.
- Binge drinking is more common in Tea at 21.6% compared to 17.2% in Glen ellyn.
- Obesity rates are higher in Tea at 34.5% compared to 29.2% in Glen ellyn.
- There is a higher percentage of disabled individuals in Glen ellyn at 9.0% compared to 4.0% in Tea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tea | Glen ellyn |
---|---|---|
No Schooling | 0.1% (10) | 0.3% (93) |
High School Diploma | 7.8% (537) | 6.4% (1,815) |
Less than High School | 1.6% (108) | 4.1% (1,149) |
Bachelor's Degree and Higher | 19.9% (1,378) | 45.8% (12,997) |
Education Levels Comparison: Tea vs Glen ellyn
- In Glen ellyn, a larger percentage of residents lack formal schooling at 0.3% compared to 0.1% in Tea.
- A higher percentage of residents in Tea hold a high school diploma at 7.8% compared to 6.4% in Glen ellyn.
- The percentage of residents with less than a high school education is higher in Glen ellyn at 4.1%, compared to 1.6% in Tea.
- In Glen ellyn, a larger share of residents have a bachelor's degree or higher at 45.8% compared to 19.9% in Tea.
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.