Demographics details for Pittsburgh, PA vs Santa clara, CA
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Santa clara, CA.
| Data | Pittsburgh | Santa clara |
|---|---|---|
| Population | 302,898 | 126,930 |
| Median Age | 33.5 years | 34.5 years |
| Median Income | $60,187 | $165,352 |
| Married Families | 26.0% | 45.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 3.4 | 3.9 |
Population Comparison: Pittsburgh vs Santa clara
- In Pittsburgh, the population is higher at 302,898, compared to 126,930 in Santa clara.
- The median age in Santa clara is higher at 34.5 years, compared to 33.5 years in Pittsburgh.
- Santa clara has a higher median income of $165,352, compared to $60,187 in Pittsburgh.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 8% in Santa clara.
- Santa clara has a higher unemployment rate at 3.9% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs Santa clara provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Santa clara |
|---|---|---|
| Black | 23 | 2 |
| White | 62 | 27 |
| Asian | 6 | 48 |
| Hispanic | 4 | 15 |
| Two or More Races | 5 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs Santa clara
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 2% in Santa clara.
- Pittsburgh has a higher percentage of White residents at 62% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 6% in Pittsburgh.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Santa clara at 8%, compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Pittsburgh and Santa clara at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Santa clara |
|---|---|---|
| Mental Health Not Good | 16.3% | 12.0% |
| Physical Health Not Good | 11.7% | 7.4% |
| Depression | 21.1% | 14.2% |
| Smoking | 18.8% | 7.1% |
| Binge Drinking | 19.3% | 13.9% |
| Obesity | 35.0% | 18.6% |
| Disability Percentage | 14.0% | 7.0% |
Health Statistics Comparison: Pittsburgh vs Santa clara
- More residents in Pittsburgh report poor mental health at 16.3% compared to 12.0% in Santa clara.
- Depression is more prevalent in Pittsburgh at 21.1% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Pittsburgh at 18.8% compared to 7.1% in Santa clara.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 13.9% in Santa clara.
- Obesity rates are higher in Pittsburgh at 35.0% compared to 18.6% in Santa clara.
- Disability percentages are higher in Pittsburgh at 14.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Santa clara |
|---|---|---|
| No Schooling | 0.6% (1,955) | 0.9% (1,134) |
| High School Diploma | 13.9% (42,015) | 7.3% (9,232) |
| Less than High School | 6.6% (20,087) | 7.1% (8,967) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 46.5% (58,962) |
Education Levels Comparison: Pittsburgh vs Santa clara
- In Santa clara, a larger percentage of residents lack formal schooling at 0.9% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Pittsburgh hold a high school diploma at 13.9% compared to 7.3% in Santa clara.
- The percentage of residents with less than a high school education is higher in Santa clara at 7.1%, compared to 6.6% in Pittsburgh.
- In Santa clara, a larger share of residents have a bachelor's degree or higher at 46.5% 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.