Demographics details for Green, OH vs Caledonia, IL
Population Overview
Compare main population characteristics in Green, OH vs Caledonia, IL.
| Data | Green | Caledonia |
|---|---|---|
| Population | 27,269 | 182 |
| Median Age | 41.1 years | 33.6 years |
| Median Income | $90,419 | $103,125 |
| Married Families | 45.0% | 59.0% |
| Poverty Level | 4% | Data is updating |
| Unemployment Rate | 4.7 | 3.5 |
Population Comparison: Green vs Caledonia
- In Green, the population is higher at 27,269, compared to 182 in Caledonia.
- Residents in Green have a higher median age of 41.1 years compared to 33.6 years in Caledonia.
- Caledonia has a higher median income of $103,125, compared to $90,419 in Green.
- In Caledonia, the percentage of married families is higher at 59.0%, compared to 45.0% in Green.
- Green has a higher poverty level at 4% compared to 0% in Caledonia.
- The unemployment rate in Green is higher at 4.7%, compared to 3.5% in Caledonia.
Demographics
Demographics Green vs Caledonia provide insight into the diversity of the communities to compare.
| Demographic | Green | Caledonia |
|---|---|---|
| Black | 1 | 1 |
| White | 94 | 78 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 10 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Caledonia
- The percentage of Black residents is the same in both Green and Caledonia at 1%.
- Green has a higher percentage of White residents at 94% compared to 78% in Caledonia.
- The Asian population is larger in Green at 1% compared to 0% in Caledonia.
- Caledonia has a higher percentage of Hispanic residents at 10%, compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in Caledonia at 11%, compared to 3% in Green.
- The percentage of American Indian residents is the same in both Green and Caledonia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Caledonia |
|---|---|---|
| Mental Health Not Good | 16.6% | 14.5% |
| Physical Health Not Good | 10.5% | 9.1% |
| Depression | 24.7% | 20.2% |
| Smoking | 17.4% | 14.1% |
| Binge Drinking | 19.1% | 19.2% |
| Obesity | 40.2% | 30.7% |
| Disability Percentage | 9.0% | 6.0% |
Health Statistics Comparison: Green vs Caledonia
- More residents in Green report poor mental health at 16.6% compared to 14.5% in Caledonia.
- Depression is more prevalent in Green at 24.7% compared to 20.2% in Caledonia.
- Smoking is more prevalent in Green at 17.4% compared to 14.1% in Caledonia.
- More residents engage in binge drinking in Caledonia at 19.2% compared to 19.1% in Green.
- Obesity rates are higher in Green at 40.2% compared to 30.7% in Caledonia.
- Disability percentages are higher in Green at 9.0% compared to 6.0% in Caledonia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | Caledonia |
|---|---|---|
| No Schooling | 0.2% (46) | 1.1% (2) |
| High School Diploma | 16.6% (4,514) | 20.9% (38) |
| Less than High School | 3.0% (828) | 8.8% (16) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 29.7% (54) |
Education Levels Comparison: Green vs Caledonia
- In Caledonia, a larger percentage of residents lack formal schooling at 1.1% compared to 0.2% in Green.
- In Caledonia, the rate of residents with high school diplomas is higher at 20.9% compared to 16.6% in Green.
- The percentage of residents with less than a high school education is higher in Caledonia at 8.8%, compared to 3.0% in Green.
- In Caledonia, a larger share of residents have a bachelor's degree or higher at 29.7% compared to 29.3% in Green.
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.