Demographics details for Glen ellyn, IL vs Rising city, NE
Population Overview
Compare main population characteristics in Glen ellyn, IL vs Rising city, NE.
Data | Glen ellyn | Rising city |
---|---|---|
Population | 28,364 | 354 |
Median Age | 41.6 years | 44.3 years |
Median Income | $128,132 | $81,477 |
Married Families | 48.0% | 45.0% |
Poverty Level | 5% | 9% |
Unemployment Rate | 5.6 | 2.7 |
Population Comparison: Glen ellyn vs Rising city
- In Glen ellyn, the population is higher at 28,364, compared to 354 in Rising city.
- The median age in Rising city is higher at 44.3 years, compared to 41.6 years in Glen ellyn.
- Glen ellyn has a higher median income of $128,132 compared to $81,477 in Rising city.
- A higher percentage of married families is found in Glen ellyn at 48.0% compared to 45.0% in Rising city.
- The poverty level is higher in Rising city at 9%, compared to 5% in Glen ellyn.
- The unemployment rate in Glen ellyn is higher at 5.6%, compared to 2.7% in Rising city.
Demographics
Demographics Glen ellyn vs Rising city provide insight into the diversity of the communities to compare.
Demographic | Glen ellyn | Rising city |
---|---|---|
Black | 3 | Data is updating |
White | 78 | 98 |
Asian | 9 | Data is updating |
Hispanic | 5 | 2 |
Two or More Races | 5 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Glen ellyn vs Rising city
- A higher percentage of Black residents are in Glen ellyn at 3% compared to 0% in Rising city.
- The percentage of White residents is higher in Rising city at 98% compared to 78% in Glen ellyn.
- The Asian population is larger in Glen ellyn at 9% compared to 0% in Rising city.
- The Hispanic community is larger in Glen ellyn at 5% compared to 2% in Rising city.
- More residents identify as two or more races in Glen ellyn at 5% compared to 0% in Rising city.
- The percentage of American Indian residents is the same in both Glen ellyn and Rising city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Glen ellyn | Rising city |
---|---|---|
Mental Health Not Good | 11.9% | 13.5% |
Physical Health Not Good | 7.4% | 9.2% |
Depression | 17.3% | 16.0% |
Smoking | 9.4% | 16.3% |
Binge Drinking | 17.2% | 23.1% |
Obesity | 29.2% | 40.3% |
Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Glen ellyn vs Rising city
- In Rising city, a higher percentage report poor mental health at 13.5% compared to 11.9% in Glen ellyn.
- Depression is more prevalent in Glen ellyn at 17.3% compared to 16.0% in Rising city.
- Rising city has a higher smoking rate at 16.3% compared to 9.4% in Glen ellyn.
- More residents engage in binge drinking in Rising city at 23.1% compared to 17.2% in Glen ellyn.
- Rising city has higher obesity rates at 40.3% compared to 29.2% in Glen ellyn.
- There is a higher percentage of disabled individuals in Rising city 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 | Glen ellyn | Rising city |
---|---|---|
No Schooling | 0.3% (93) | 0.0% (Data is updating) |
High School Diploma | 6.4% (1,815) | 19.8% (70) |
Less than High School | 4.1% (1,149) | 9.6% (34) |
Bachelor's Degree and Higher | 45.8% (12,997) | 7.6% (27) |
Education Levels Comparison: Glen ellyn vs Rising city
- A higher percentage of residents in Glen ellyn have no formal schooling at 0.3% compared to 0.0% in Rising city.
- In Rising city, the rate of residents with high school diplomas is higher at 19.8% compared to 6.4% in Glen ellyn.
- The percentage of residents with less than a high school education is higher in Rising city at 9.6%, 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 7.6% in Rising city.
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.