Demographics details for Pittsburgh, PA vs Dayton, OH
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Dayton, OH.
| Data | Pittsburgh | Dayton |
|---|---|---|
| Population | 302,898 | 135,944 |
| Median Age | 33.5 years | 34.0 years |
| Median Income | $60,187 | $41,443 |
| Married Families | 26.0% | 21.0% |
| Poverty Level | 15% | 18% |
| Unemployment Rate | 3.4 | 6.8 |
Population Comparison: Pittsburgh vs Dayton
- In Pittsburgh, the population is higher at 302,898, compared to 135,944 in Dayton.
- The median age in Dayton is higher at 34.0 years, compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Pittsburgh at 26.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 15% in Pittsburgh.
- Dayton has a higher unemployment rate at 6.8% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Dayton |
|---|---|---|
| Black | 23 | 38 |
| White | 62 | 50 |
| Asian | 6 | 1 |
| Hispanic | 4 | 5 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 23% in Pittsburgh.
- Pittsburgh has a higher percentage of White residents at 62% compared to 50% in Dayton.
- The Asian population is larger in Pittsburgh at 6% compared to 1% in Dayton.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Pittsburgh and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Dayton |
|---|---|---|
| Mental Health Not Good | 16.3% | 21.9% |
| Physical Health Not Good | 11.7% | 16.5% |
| Depression | 21.1% | 26.5% |
| Smoking | 18.8% | 26.0% |
| Binge Drinking | 19.3% | 15.2% |
| Obesity | 35.0% | 47.6% |
| Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Pittsburgh vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 16.3% in Pittsburgh.
- Higher depression rates are seen in Dayton at 26.5% versus 21.1% in Pittsburgh.
- Dayton has a higher smoking rate at 26.0% compared to 18.8% in Pittsburgh.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 35.0% in Pittsburgh.
- There is a higher percentage of disabled individuals in Dayton at 18.0% 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 | Pittsburgh | Dayton |
|---|---|---|
| No Schooling | 0.6% (1,955) | 0.9% (1,157) |
| High School Diploma | 13.9% (42,015) | 16.3% (22,101) |
| Less than High School | 6.6% (20,087) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 12.7% (17,260) |
Education Levels Comparison: Pittsburgh vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.6% in Pittsburgh.
- In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 6.6% in Pittsburgh.
- A higher percentage of residents in Pittsburgh hold a bachelor's degree or higher at 32.1% compared to 12.7% in Dayton.
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.