Demographics details for Pittsburgh, PA vs Edmonds, WA
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Edmonds, WA.
| Data | Pittsburgh | Edmonds |
|---|---|---|
| Population | 302,898 | 42,593 |
| Median Age | 33.5 years | 45.8 years |
| Median Income | $60,187 | $110,057 |
| Married Families | 26.0% | 49.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 3.4 | 4.7 |
Population Comparison: Pittsburgh vs Edmonds
- In Pittsburgh, the population is higher at 302,898, compared to 42,593 in Edmonds.
- The median age in Edmonds is higher at 45.8 years, compared to 33.5 years in Pittsburgh.
- Edmonds has a higher median income of $110,057, compared to $60,187 in Pittsburgh.
- In Edmonds, the percentage of married families is higher at 49.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 0% in Edmonds.
- Edmonds has a higher unemployment rate at 4.7% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs Edmonds provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Edmonds |
|---|---|---|
| Black | 23 | 2 |
| White | 62 | 75 |
| Asian | 6 | 9 |
| Hispanic | 4 | 6 |
| Two or More Races | 5 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs Edmonds
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 2% in Edmonds.
- The percentage of White residents is higher in Edmonds at 75% compared to 62% in Pittsburgh.
- In Edmonds, the Asian population stands at 9%, greater than 6% in Pittsburgh.
- Edmonds has a higher percentage of Hispanic residents at 6%, compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Edmonds at 8%, compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Pittsburgh and Edmonds at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Edmonds |
|---|---|---|
| Mental Health Not Good | 16.3% | 15.3% |
| Physical Health Not Good | 11.7% | 9.2% |
| Depression | 21.1% | 28.1% |
| Smoking | 18.8% | 9.6% |
| Binge Drinking | 19.3% | 16.4% |
| Obesity | 35.0% | 31.0% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Pittsburgh vs Edmonds
- More residents in Pittsburgh report poor mental health at 16.3% compared to 15.3% in Edmonds.
- Higher depression rates are seen in Edmonds at 28.1% versus 21.1% in Pittsburgh.
- Smoking is more prevalent in Pittsburgh at 18.8% compared to 9.6% in Edmonds.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 16.4% in Edmonds.
- Obesity rates are higher in Pittsburgh at 35.0% compared to 31.0% in Edmonds.
- Disability percentages are higher in Pittsburgh at 14.0% compared to 12.0% in Edmonds.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Edmonds |
|---|---|---|
| No Schooling | 0.6% (1,955) | 0.5% (232) |
| High School Diploma | 13.9% (42,015) | 11.0% (4,689) |
| Less than High School | 6.6% (20,087) | 4.1% (1,747) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 38.7% (16,493) |
Education Levels Comparison: Pittsburgh vs Edmonds
- A higher percentage of residents in Pittsburgh have no formal schooling at 0.6% compared to 0.5% in Edmonds.
- A higher percentage of residents in Pittsburgh hold a high school diploma at 13.9% compared to 11.0% in Edmonds.
- More residents in Pittsburgh have less than a high school education at 6.6% compared to 4.1% in Edmonds.
- In Edmonds, a larger share of residents have a bachelor's degree or higher at 38.7% 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.