Demographics details for Green, OH vs Cleveland, GA
Population Overview
Compare main population characteristics in Green, OH vs Cleveland, GA.
| Data | Green | Cleveland |
|---|---|---|
| Population | 27,269 | 3,548 |
| Median Age | 41.1 years | 39.6 years |
| Median Income | $90,419 | $46,994 |
| Married Families | 45.0% | 25.0% |
| Poverty Level | 4% | 12% |
| Unemployment Rate | 4.7 | 3.5 |
Population Comparison: Green vs Cleveland
- In Green, the population is higher at 27,269, compared to 3,548 in Cleveland.
- Residents in Green have a higher median age of 41.1 years compared to 39.6 years in Cleveland.
- Green has a higher median income of $90,419 compared to $46,994 in Cleveland.
- A higher percentage of married families is found in Green at 45.0% compared to 25.0% in Cleveland.
- The poverty level is higher in Cleveland at 12%, compared to 4% in Green.
- The unemployment rate in Green is higher at 4.7%, compared to 3.5% in Cleveland.
Demographics
Demographics Green vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Green | Cleveland |
|---|---|---|
| Black | 1 | 5 |
| White | 94 | 84 |
| Asian | 1 | 2 |
| Hispanic | 1 | 2 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 5% compared to 1% in Green.
- Green has a higher percentage of White residents at 94% compared to 84% in Cleveland.
- In Cleveland, the Asian population stands at 2%, greater than 1% in Green.
- Cleveland has a higher percentage of Hispanic residents at 2%, compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in Cleveland at 7%, compared to 3% in Green.
- The percentage of American Indian residents is the same in both Green and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Cleveland |
|---|---|---|
| Mental Health Not Good | 16.6% | 18.1% |
| Physical Health Not Good | 10.5% | 12.8% |
| Depression | 24.7% | 24.2% |
| Smoking | 17.4% | 18.9% |
| Binge Drinking | 19.1% | 16.2% |
| Obesity | 40.2% | 33.2% |
| Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Green vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 18.1% compared to 16.6% in Green.
- Depression is more prevalent in Green at 24.7% compared to 24.2% in Cleveland.
- Cleveland has a higher smoking rate at 18.9% compared to 17.4% in Green.
- Binge drinking is more common in Green at 19.1% compared to 16.2% in Cleveland.
- Obesity rates are higher in Green at 40.2% compared to 33.2% in Cleveland.
- There is a higher percentage of disabled individuals in Cleveland at 17.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | Cleveland |
|---|---|---|
| No Schooling | 0.2% (46) | 0.8% (30) |
| High School Diploma | 16.6% (4,514) | 18.5% (656) |
| Less than High School | 3.0% (828) | 15.4% (545) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 10.2% (362) |
Education Levels Comparison: Green vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.8% compared to 0.2% in Green.
- In Cleveland, the rate of residents with high school diplomas is higher at 18.5% compared to 16.6% in Green.
- The percentage of residents with less than a high school education is higher in Cleveland at 15.4%, 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 10.2% in Cleveland.
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.