Demographics details for Cincinnati, OH vs Cleveland, GA
Population Overview
Compare main population characteristics in Cincinnati, OH vs Cleveland, GA.
| Data | Cincinnati | Cleveland |
|---|---|---|
| Population | 309,513 | 3,548 |
| Median Age | 32.9 years | 39.6 years |
| Median Income | $49,191 | $46,994 |
| Married Families | 24.0% | 25.0% |
| Poverty Level | 17% | 12% |
| Unemployment Rate | 5.8 | 3.5 |
Population Comparison: Cincinnati vs Cleveland
- In Cincinnati, the population is higher at 309,513, compared to 3,548 in Cleveland.
- The median age in Cleveland is higher at 39.6 years, compared to 32.9 years in Cincinnati.
- Cincinnati has a higher median income of $49,191 compared to $46,994 in Cleveland.
- In Cleveland, the percentage of married families is higher at 25.0%, compared to 24.0% in Cincinnati.
- Cincinnati has a higher poverty level at 17% compared to 12% in Cleveland.
- The unemployment rate in Cincinnati is higher at 5.8%, compared to 3.5% in Cleveland.
Demographics
Demographics Cincinnati vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Cincinnati | Cleveland |
|---|---|---|
| Black | 40 | 5 |
| White | 46 | 84 |
| Asian | 3 | 2 |
| Hispanic | 5 | 2 |
| Two or More Races | 6 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cincinnati vs Cleveland
- A higher percentage of Black residents are in Cincinnati at 40% compared to 5% in Cleveland.
- The percentage of White residents is higher in Cleveland at 84% compared to 46% in Cincinnati.
- The Asian population is larger in Cincinnati at 3% compared to 2% in Cleveland.
- The Hispanic community is larger in Cincinnati at 5% compared to 2% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Cleveland at 7%, compared to 6% in Cincinnati.
- The percentage of American Indian residents is the same in both Cincinnati and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cincinnati | Cleveland |
|---|---|---|
| Mental Health Not Good | 18.0% | 18.1% |
| Physical Health Not Good | 13.1% | 12.8% |
| Depression | 21.6% | 24.2% |
| Smoking | 21.3% | 18.9% |
| Binge Drinking | 18.2% | 16.2% |
| Obesity | 39.8% | 33.2% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Cincinnati vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 18.1% compared to 18.0% in Cincinnati.
- Higher depression rates are seen in Cleveland at 24.2% versus 21.6% in Cincinnati.
- Smoking is more prevalent in Cincinnati at 21.3% compared to 18.9% in Cleveland.
- Binge drinking is more common in Cincinnati at 18.2% compared to 16.2% in Cleveland.
- Obesity rates are higher in Cincinnati at 39.8% compared to 33.2% in Cleveland.
- There is a higher percentage of disabled individuals in Cleveland at 17.0% compared to 13.0% in Cincinnati.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cincinnati | Cleveland |
|---|---|---|
| No Schooling | 0.9% (2,632) | 0.8% (30) |
| High School Diploma | 12.5% (38,643) | 18.5% (656) |
| Less than High School | 9.6% (29,753) | 15.4% (545) |
| Bachelor's Degree and Higher | 26.4% (81,592) | 10.2% (362) |
Education Levels Comparison: Cincinnati vs Cleveland
- A higher percentage of residents in Cincinnati have no formal schooling at 0.9% compared to 0.8% in Cleveland.
- In Cleveland, the rate of residents with high school diplomas is higher at 18.5% compared to 12.5% in Cincinnati.
- The percentage of residents with less than a high school education is higher in Cleveland at 15.4%, compared to 9.6% in Cincinnati.
- A higher percentage of residents in Cincinnati hold a bachelor's degree or higher at 26.4% 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.