Demographics details for Pittsburgh, PA vs Eau claire, WI
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Eau claire, WI.
| Data | Pittsburgh | Eau claire |
|---|---|---|
| Population | 302,898 | 69,737 |
| Median Age | 33.5 years | 32.8 years |
| Median Income | $60,187 | $63,882 |
| Married Families | 26.0% | 34.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.4 | 3.0 |
Population Comparison: Pittsburgh vs Eau claire
- In Pittsburgh, the population is higher at 302,898, compared to 69,737 in Eau claire.
- Residents in Pittsburgh have a higher median age of 33.5 years compared to 32.8 years in Eau claire.
- Eau claire has a higher median income of $63,882, compared to $60,187 in Pittsburgh.
- In Eau claire, the percentage of married families is higher at 34.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 10% in Eau claire.
- The unemployment rate in Pittsburgh is higher at 3.4%, compared to 3.0% in Eau claire.
Demographics
Demographics Pittsburgh vs Eau claire provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Eau claire |
|---|---|---|
| Black | 23 | 1 |
| White | 62 | 86 |
| Asian | 6 | 6 |
| Hispanic | 4 | 3 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs Eau claire
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 1% in Eau claire.
- The percentage of White residents is higher in Eau claire at 86% compared to 62% in Pittsburgh.
- Both Pittsburgh and Eau claire have the same percentage of Asian residents at 6%.
- The Hispanic community is larger in Pittsburgh at 4% compared to 3% in Eau claire.
- More residents identify as two or more races in Pittsburgh at 5% compared to 4% in Eau claire.
- The percentage of American Indian residents is the same in both Pittsburgh and Eau claire at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Eau claire |
|---|---|---|
| Mental Health Not Good | 16.3% | 15.3% |
| Physical Health Not Good | 11.7% | 9.8% |
| Depression | 21.1% | 23.6% |
| Smoking | 18.8% | 15.2% |
| Binge Drinking | 19.3% | 24.8% |
| Obesity | 35.0% | 32.2% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Pittsburgh vs Eau claire
- More residents in Pittsburgh report poor mental health at 16.3% compared to 15.3% in Eau claire.
- Higher depression rates are seen in Eau claire at 23.6% versus 21.1% in Pittsburgh.
- Smoking is more prevalent in Pittsburgh at 18.8% compared to 15.2% in Eau claire.
- More residents engage in binge drinking in Eau claire at 24.8% compared to 19.3% in Pittsburgh.
- Obesity rates are higher in Pittsburgh at 35.0% compared to 32.2% in Eau claire.
- Disability percentages are higher in Pittsburgh at 14.0% compared to 13.0% in Eau claire.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Eau claire |
|---|---|---|
| No Schooling | 0.6% (1,955) | 0.5% (340) |
| High School Diploma | 13.9% (42,015) | 14.2% (9,934) |
| Less than High School | 6.6% (20,087) | 3.7% (2,573) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 21.6% (15,073) |
Education Levels Comparison: Pittsburgh vs Eau claire
- A higher percentage of residents in Pittsburgh have no formal schooling at 0.6% compared to 0.5% in Eau claire.
- In Eau claire, the rate of residents with high school diplomas is higher at 14.2% compared to 13.9% in Pittsburgh.
- More residents in Pittsburgh have less than a high school education at 6.6% compared to 3.7% in Eau claire.
- A higher percentage of residents in Pittsburgh hold a bachelor's degree or higher at 32.1% compared to 21.6% in Eau claire.
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.