Demographics details for Seattle, WA vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Seattle, WA vs Pittsburgh, PA.
| Data | Seattle | Pittsburgh |
|---|---|---|
| Population | 749,256 | 302,898 |
| Median Age | 35.4 years | 33.5 years |
| Median Income | $116,068 | $60,187 |
| Married Families | 35.0% | 26.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 4.6 | 3.4 |
Population Comparison: Seattle vs Pittsburgh
- In Seattle, the population is higher at 749,256, compared to 302,898 in Pittsburgh.
- Residents in Seattle have a higher median age of 35.4 years compared to 33.5 years in Pittsburgh.
- Seattle has a higher median income of $116,068 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in Seattle at 35.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 9% in Seattle.
- The unemployment rate in Seattle is higher at 4.6%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Seattle vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Seattle | Pittsburgh |
|---|---|---|
| Black | 7 | 23 |
| White | 59 | 62 |
| Asian | 17 | 6 |
| Hispanic | 7 | 4 |
| Two or More Races | 9 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Seattle vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 7% in Seattle.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 59% in Seattle.
- The Asian population is larger in Seattle at 17% compared to 6% in Pittsburgh.
- The Hispanic community is larger in Seattle at 7% compared to 4% in Pittsburgh.
- More residents identify as two or more races in Seattle at 9% compared to 5% in Pittsburgh.
- A greater percentage of American Indian residents live in Seattle at 1% compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seattle | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.3% |
| Physical Health Not Good | 8.5% | 11.7% |
| Depression | 23.6% | 21.1% |
| Smoking | 8.6% | 18.8% |
| Binge Drinking | 17.6% | 19.3% |
| Obesity | 23.8% | 35.0% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Seattle vs Pittsburgh
- In Pittsburgh, a higher percentage report poor mental health at 16.3% compared to 15.1% in Seattle.
- Depression is more prevalent in Seattle at 23.6% compared to 21.1% in Pittsburgh.
- Pittsburgh has a higher smoking rate at 18.8% compared to 8.6% in Seattle.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 17.6% in Seattle.
- Pittsburgh has higher obesity rates at 35.0% compared to 23.8% in Seattle.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% compared to 9.0% in Seattle.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seattle | Pittsburgh |
|---|---|---|
| No Schooling | 0.9% (6,839) | 0.6% (1,955) |
| High School Diploma | 5.8% (43,106) | 13.9% (42,015) |
| Less than High School | 4.7% (35,004) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 49.4% (369,798) | 32.1% (97,219) |
Education Levels Comparison: Seattle vs Pittsburgh
- A higher percentage of residents in Seattle have no formal schooling at 0.9% compared to 0.6% in Pittsburgh.
- In Pittsburgh, the rate of residents with high school diplomas is higher at 13.9% compared to 5.8% in Seattle.
- The percentage of residents with less than a high school education is higher in Pittsburgh at 6.6%, compared to 4.7% in Seattle.
- A higher percentage of residents in Seattle hold a bachelor's degree or higher at 49.4% compared to 32.1% in Pittsburgh.
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.