Demographics details for Pittsburgh, PA vs Safford, AZ
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Safford, AZ.
| Data | Pittsburgh | Safford |
|---|---|---|
| Population | 302,898 | 10,297 |
| Median Age | 33.5 years | 31.6 years |
| Median Income | $60,187 | $64,860 |
| Married Families | 26.0% | 33.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Pittsburgh vs Safford
- In Pittsburgh, the population is higher at 302,898, compared to 10,297 in Safford.
- Residents in Pittsburgh have a higher median age of 33.5 years compared to 31.6 years in Safford.
- Safford has a higher median income of $64,860, compared to $60,187 in Pittsburgh.
- In Safford, the percentage of married families is higher at 33.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 0% in Safford.
- Safford has a higher unemployment rate at 3.5% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs Safford provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Safford |
|---|---|---|
| Black | 23 | 2 |
| White | 62 | 31 |
| Asian | 6 | 1 |
| Hispanic | 4 | 50 |
| Two or More Races | 5 | 15 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pittsburgh vs Safford
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 2% in Safford.
- Pittsburgh has a higher percentage of White residents at 62% compared to 31% in Safford.
- The Asian population is larger in Pittsburgh at 6% compared to 1% in Safford.
- Safford has a higher percentage of Hispanic residents at 50%, compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Safford at 15%, compared to 5% in Pittsburgh.
- In Safford, the percentage of American Indian residents is higher at 1%, compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Safford |
|---|---|---|
| Mental Health Not Good | 16.3% | 17.2% |
| Physical Health Not Good | 11.7% | 12.2% |
| Depression | 21.1% | 19.9% |
| Smoking | 18.8% | 16.6% |
| Binge Drinking | 19.3% | 17.0% |
| Obesity | 35.0% | 35.2% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Pittsburgh vs Safford
- In Safford, a higher percentage report poor mental health at 17.2% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Pittsburgh at 21.1% compared to 19.9% in Safford.
- Smoking is more prevalent in Pittsburgh at 18.8% compared to 16.6% in Safford.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 17.0% in Safford.
- Safford has higher obesity rates at 35.2% compared to 35.0% in Pittsburgh.
- Disability percentages are the same in both Pittsburgh and Safford at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Safford |
|---|---|---|
| No Schooling | 0.6% (1,955) | 2.7% (274) |
| High School Diploma | 13.9% (42,015) | 11.1% (1,147) |
| Less than High School | 6.6% (20,087) | 17.7% (1,825) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 10.6% (1,092) |
Education Levels Comparison: Pittsburgh vs Safford
- In Safford, a larger percentage of residents lack formal schooling at 2.7% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Pittsburgh hold a high school diploma at 13.9% compared to 11.1% in Safford.
- The percentage of residents with less than a high school education is higher in Safford at 17.7%, 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 10.6% in Safford.
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.