Demographics details for Pittsburgh, PA vs Byers, CO
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Byers, CO.
| Data | Pittsburgh | Byers |
|---|---|---|
| Population | 302,898 | 1,635 |
| Median Age | 33.5 years | 29.4 years |
| Median Income | $60,187 | $93,750 |
| Married Families | 26.0% | 33.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 3.4 | 2.5 |
Population Comparison: Pittsburgh vs Byers
- In Pittsburgh, the population is higher at 302,898, compared to 1,635 in Byers.
- Residents in Pittsburgh have a higher median age of 33.5 years compared to 29.4 years in Byers.
- Byers has a higher median income of $93,750, compared to $60,187 in Pittsburgh.
- In Byers, 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 Byers.
- The unemployment rate in Pittsburgh is higher at 3.4%, compared to 2.5% in Byers.
Demographics
Demographics Pittsburgh vs Byers provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Byers |
|---|---|---|
| Black | 23 | Data is updating |
| White | 62 | 20 |
| Asian | 6 | Data is updating |
| Hispanic | 4 | 43 |
| Two or More Races | 5 | 36 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pittsburgh vs Byers
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 0% in Byers.
- Pittsburgh has a higher percentage of White residents at 62% compared to 20% in Byers.
- The Asian population is larger in Pittsburgh at 6% compared to 0% in Byers.
- Byers has a higher percentage of Hispanic residents at 43%, compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Byers at 36%, compared to 5% in Pittsburgh.
- In Byers, 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 | Byers |
|---|---|---|
| Mental Health Not Good | 16.3% | 15.9% |
| Physical Health Not Good | 11.7% | 10.0% |
| Depression | 21.1% | 22.4% |
| Smoking | 18.8% | 16.2% |
| Binge Drinking | 19.3% | 20.1% |
| Obesity | 35.0% | 25.6% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Pittsburgh vs Byers
- More residents in Pittsburgh report poor mental health at 16.3% compared to 15.9% in Byers.
- Higher depression rates are seen in Byers at 22.4% versus 21.1% in Pittsburgh.
- Smoking is more prevalent in Pittsburgh at 18.8% compared to 16.2% in Byers.
- More residents engage in binge drinking in Byers at 20.1% compared to 19.3% in Pittsburgh.
- Obesity rates are higher in Pittsburgh at 35.0% compared to 25.6% in Byers.
- Disability percentages are higher in Pittsburgh at 14.0% compared to 10.0% in Byers.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Byers |
|---|---|---|
| No Schooling | 0.6% (1,955) | 1.0% (17) |
| High School Diploma | 13.9% (42,015) | 16.5% (270) |
| Less than High School | 6.6% (20,087) | 8.0% (130) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 7.8% (128) |
Education Levels Comparison: Pittsburgh vs Byers
- In Byers, a larger percentage of residents lack formal schooling at 1.0% compared to 0.6% in Pittsburgh.
- In Byers, the rate of residents with high school diplomas is higher at 16.5% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Byers at 8.0%, 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 7.8% in Byers.
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.