Demographics details for Richmond hill, GA vs Glen ellyn, IL
Population Overview
Compare main population characteristics in Richmond hill, GA vs Glen ellyn, IL.
Data | Richmond hill | Glen ellyn |
---|---|---|
Population | 18,091 | 28,364 |
Median Age | 31.0 years | 41.6 years |
Median Income | $83,519 | $128,132 |
Married Families | 35.0% | 48.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 3.5 | 5.6 |
Population Comparison: Richmond hill vs Glen ellyn
- The population in Glen ellyn is higher at 28,364, compared to 18,091 in Richmond hill.
- The median age in Glen ellyn is higher at 41.6 years, compared to 31.0 years in Richmond hill.
- Glen ellyn has a higher median income of $128,132, compared to $83,519 in Richmond hill.
- In Glen ellyn, the percentage of married families is higher at 48.0%, compared to 35.0% in Richmond hill.
- Richmond hill has a higher poverty level at 10% compared to 5% in Glen ellyn.
- Glen ellyn has a higher unemployment rate at 5.6% compared to 3.5% in Richmond hill.
Demographics
Demographics Richmond hill vs Glen ellyn provide insight into the diversity of the communities to compare.
Demographic | Richmond hill | Glen ellyn |
---|---|---|
Black | 13 | 3 |
White | 66 | 78 |
Asian | 2 | 9 |
Hispanic | 11 | 5 |
Two or More Races | 8 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Richmond hill vs Glen ellyn
- A higher percentage of Black residents are in Richmond hill at 13% compared to 3% in Glen ellyn.
- The percentage of White residents is higher in Glen ellyn at 78% compared to 66% in Richmond hill.
- In Glen ellyn, the Asian population stands at 9%, greater than 2% in Richmond hill.
- The Hispanic community is larger in Richmond hill at 11% compared to 5% in Glen ellyn.
- More residents identify as two or more races in Richmond hill at 8% compared to 5% in Glen ellyn.
- The percentage of American Indian residents is the same in both Richmond hill and Glen ellyn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Richmond hill | Glen ellyn |
---|---|---|
Mental Health Not Good | 15.9% | 11.9% |
Physical Health Not Good | 10.6% | 7.4% |
Depression | 21.8% | 17.3% |
Smoking | 14.2% | 9.4% |
Binge Drinking | 16.2% | 17.2% |
Obesity | 34.4% | 29.2% |
Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Richmond hill vs Glen ellyn
- More residents in Richmond hill report poor mental health at 15.9% compared to 11.9% in Glen ellyn.
- Depression is more prevalent in Richmond hill at 21.8% compared to 17.3% in Glen ellyn.
- Smoking is more prevalent in Richmond hill at 14.2% compared to 9.4% in Glen ellyn.
- More residents engage in binge drinking in Glen ellyn at 17.2% compared to 16.2% in Richmond hill.
- Obesity rates are higher in Richmond hill at 34.4% compared to 29.2% in Glen ellyn.
- Disability percentages are the same in both Richmond hill 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 | Richmond hill | Glen ellyn |
---|---|---|
No Schooling | 0.0% (9) | 0.3% (93) |
High School Diploma | 7.7% (1,395) | 6.4% (1,815) |
Less than High School | 5.7% (1,037) | 4.1% (1,149) |
Bachelor's Degree and Higher | 19.5% (3,532) | 45.8% (12,997) |
Education Levels Comparison: Richmond hill vs Glen ellyn
- In Glen ellyn, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Richmond hill.
- A higher percentage of residents in Richmond hill hold a high school diploma at 7.7% compared to 6.4% in Glen ellyn.
- More residents in Richmond hill have less than a high school education at 5.7% 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 19.5% in Richmond hill.
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.