Demographics details for Uniontown, PA vs Cleveland, OH
Population Overview
Compare main population characteristics in Uniontown, PA vs Cleveland, OH.
| Data | Uniontown | Cleveland |
|---|---|---|
| Population | 9,689 | 361,607 |
| Median Age | 42.6 years | 36.3 years |
| Median Income | $37,886 | $37,271 |
| Married Families | 30.0% | 20.0% |
| Poverty Level | 22% | 23% |
| Unemployment Rate | 6.7 | 5.7 |
Population Comparison: Uniontown vs Cleveland
- The population in Cleveland is higher at 361,607, compared to 9,689 in Uniontown.
- Residents in Uniontown have a higher median age of 42.6 years compared to 36.3 years in Cleveland.
- Uniontown has a higher median income of $37,886 compared to $37,271 in Cleveland.
- A higher percentage of married families is found in Uniontown at 30.0% compared to 20.0% in Cleveland.
- The poverty level is higher in Cleveland at 23%, compared to 22% in Uniontown.
- The unemployment rate in Uniontown is higher at 6.7%, compared to 5.7% in Cleveland.
Demographics
Demographics Uniontown vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Uniontown | Cleveland |
|---|---|---|
| Black | 18 | 48 |
| White | 74 | 28 |
| Asian | 2 | 3 |
| Hispanic | 1 | 13 |
| Two or More Races | 5 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Uniontown vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 48% compared to 18% in Uniontown.
- Uniontown has a higher percentage of White residents at 74% compared to 28% in Cleveland.
- In Cleveland, the Asian population stands at 3%, greater than 2% in Uniontown.
- Cleveland has a higher percentage of Hispanic residents at 13%, compared to 1% in Uniontown.
- The percentage of residents identifying as two or more races is higher in Cleveland at 8%, compared to 5% in Uniontown.
- The percentage of American Indian residents is the same in both Uniontown and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Uniontown | Cleveland |
|---|---|---|
| Mental Health Not Good | 20.6% | 20.2% |
| Physical Health Not Good | 15.2% | 16.6% |
| Depression | 25.6% | 24.0% |
| Smoking | 26.3% | 27.1% |
| Binge Drinking | 16.1% | 14.8% |
| Obesity | 41.1% | 42.1% |
| Disability Percentage | 24.0% | 20.0% |
Health Statistics Comparison: Uniontown vs Cleveland
- More residents in Uniontown report poor mental health at 20.6% compared to 20.2% in Cleveland.
- Depression is more prevalent in Uniontown at 25.6% compared to 24.0% in Cleveland.
- Cleveland has a higher smoking rate at 27.1% compared to 26.3% in Uniontown.
- Binge drinking is more common in Uniontown at 16.1% compared to 14.8% in Cleveland.
- Cleveland has higher obesity rates at 42.1% compared to 41.1% in Uniontown.
- Disability percentages are higher in Uniontown at 24.0% compared to 20.0% in Cleveland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Uniontown | Cleveland |
|---|---|---|
| No Schooling | 0.6% (56) | 1.6% (5,667) |
| High School Diploma | 28.6% (2,770) | 19.0% (68,853) |
| Less than High School | 17.5% (1,695) | 17.5% (63,329) |
| Bachelor's Degree and Higher | 14.9% (1,440) | 14.3% (51,656) |
Education Levels Comparison: Uniontown vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 1.6% compared to 0.6% in Uniontown.
- A higher percentage of residents in Uniontown hold a high school diploma at 28.6% compared to 19.0% in Cleveland.
- Both cities report the same percentage of residents with less than a high school education at 17.5%.
- A higher percentage of residents in Uniontown hold a bachelor's degree or higher at 14.9% compared to 14.3% 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.