Demographics details for Cleveland, GA vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Cleveland, GA vs Pittsburgh, PA.
| Data | Cleveland | Pittsburgh |
|---|---|---|
| Population | 3,548 | 302,898 |
| Median Age | 39.6 years | 33.5 years |
| Median Income | $46,994 | $60,187 |
| Married Families | 25.0% | 26.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Cleveland vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 3,548 in Cleveland.
- Residents in Cleveland have a higher median age of 39.6 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $46,994 in Cleveland.
- In Pittsburgh, the percentage of married families is higher at 26.0%, compared to 25.0% in Cleveland.
- The poverty level is higher in Pittsburgh at 15%, compared to 12% in Cleveland.
- The unemployment rate in Cleveland is higher at 3.5%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Cleveland vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Pittsburgh |
|---|---|---|
| Black | 5 | 23 |
| White | 84 | 62 |
| Asian | 2 | 6 |
| Hispanic | 2 | 4 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 5% in Cleveland.
- Cleveland has a higher percentage of White residents at 84% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 2% in Cleveland.
- Pittsburgh has a higher percentage of Hispanic residents at 4%, compared to 2% in Cleveland.
- More residents identify as two or more races in Cleveland at 7% compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Cleveland and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.3% |
| Physical Health Not Good | 12.8% | 11.7% |
| Depression | 24.2% | 21.1% |
| Smoking | 18.9% | 18.8% |
| Binge Drinking | 16.2% | 19.3% |
| Obesity | 33.2% | 35.0% |
| Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Cleveland vs Pittsburgh
- More residents in Cleveland report poor mental health at 18.1% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Cleveland at 24.2% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Cleveland at 18.9% compared to 18.8% in Pittsburgh.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 16.2% in Cleveland.
- Pittsburgh has higher obesity rates at 35.0% compared to 33.2% in Cleveland.
- Disability percentages are higher in Cleveland at 17.0% compared to 14.0% in Pittsburgh.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cleveland | Pittsburgh |
|---|---|---|
| No Schooling | 0.8% (30) | 0.6% (1,955) |
| High School Diploma | 18.5% (656) | 13.9% (42,015) |
| Less than High School | 15.4% (545) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 10.2% (362) | 32.1% (97,219) |
Education Levels Comparison: Cleveland vs Pittsburgh
- A higher percentage of residents in Cleveland have no formal schooling at 0.8% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Cleveland hold a high school diploma at 18.5% compared to 13.9% in Pittsburgh.
- More residents in Cleveland have less than a high school education at 15.4% compared to 6.6% in Pittsburgh.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% 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.