Demographics details for Green, OH vs Champaign, IL
Population Overview
Compare main population characteristics in Green, OH vs Champaign, IL.
Data | Green | Champaign |
---|---|---|
Population | 27,269 | 89,241 |
Median Age | 41.1 years | 27.0 years |
Median Income | $90,419 | $58,273 |
Married Families | 45.0% | 29.0% |
Poverty Level | 4% | 19% |
Unemployment Rate | 4.7 | 5.5 |
Population Comparison: Green vs Champaign
- The population in Champaign is higher at 89,241, compared to 27,269 in Green.
- Residents in Green have a higher median age of 41.1 years compared to 27.0 years in Champaign.
- Green has a higher median income of $90,419 compared to $58,273 in Champaign.
- A higher percentage of married families is found in Green at 45.0% compared to 29.0% in Champaign.
- The poverty level is higher in Champaign at 19%, compared to 4% in Green.
- Champaign has a higher unemployment rate at 5.5% compared to 4.7% in Green.
Demographics
Demographics Green vs Champaign provide insight into the diversity of the communities to compare.
Demographic | Green | Champaign |
---|---|---|
Black | 1 | 17 |
White | 94 | 56 |
Asian | 1 | 16 |
Hispanic | 1 | 6 |
Two or More Races | 3 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Champaign
- In Champaign, the percentage of Black residents is higher at 17% compared to 1% in Green.
- Green has a higher percentage of White residents at 94% compared to 56% in Champaign.
- In Champaign, the Asian population stands at 16%, greater than 1% in Green.
- Champaign has a higher percentage of Hispanic residents at 6%, compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in Champaign at 5%, compared to 3% in Green.
- The percentage of American Indian residents is the same in both Green and Champaign at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Green | Champaign |
---|---|---|
Mental Health Not Good | 16.6% | 15.8% |
Physical Health Not Good | 10.5% | 10.5% |
Depression | 24.7% | 20.2% |
Smoking | 17.4% | 15.2% |
Binge Drinking | 19.1% | 16.0% |
Obesity | 40.2% | 32.6% |
Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Green vs Champaign
- More residents in Green report poor mental health at 16.6% compared to 15.8% in Champaign.
- Depression is more prevalent in Green at 24.7% compared to 20.2% in Champaign.
- Smoking is more prevalent in Green at 17.4% compared to 15.2% in Champaign.
- Binge drinking is more common in Green at 19.1% compared to 16.0% in Champaign.
- Obesity rates are higher in Green at 40.2% compared to 32.6% in Champaign.
- Disability percentages are higher in Green at 9.0% compared to 8.0% in Champaign.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Green | Champaign |
---|---|---|
No Schooling | 0.2% (46) | 0.5% (457) |
High School Diploma | 16.6% (4,514) | 7.9% (7,060) |
Less than High School | 3.0% (828) | 5.1% (4,513) |
Bachelor's Degree and Higher | 29.3% (7,977) | 27.5% (24,520) |
Education Levels Comparison: Green vs Champaign
- In Champaign, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in Green.
- A higher percentage of residents in Green hold a high school diploma at 16.6% compared to 7.9% in Champaign.
- The percentage of residents with less than a high school education is higher in Champaign at 5.1%, compared to 3.0% in Green.
- A higher percentage of residents in Green hold a bachelor's degree or higher at 29.3% compared to 27.5% in Champaign.
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.