Demographics details for Pittsburgh, PA vs Cottonwood, AL
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Cottonwood, AL.
| Data | Pittsburgh | Cottonwood |
|---|---|---|
| Population | 302,898 | 1,057 |
| Median Age | 33.5 years | 44.5 years |
| Median Income | $60,187 | $31,591 |
| Married Families | 26.0% | 35.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Pittsburgh vs Cottonwood
- In Pittsburgh, the population is higher at 302,898, compared to 1,057 in Cottonwood.
- The median age in Cottonwood is higher at 44.5 years, compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187 compared to $31,591 in Cottonwood.
- In Cottonwood, the percentage of married families is higher at 35.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 10% in Cottonwood.
- Cottonwood has a higher unemployment rate at 3.5% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs Cottonwood provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Cottonwood |
|---|---|---|
| Black | 23 | 37 |
| White | 62 | 57 |
| Asian | 6 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Pittsburgh vs Cottonwood
- In Cottonwood, the percentage of Black residents is higher at 37% compared to 23% in Pittsburgh.
- Pittsburgh has a higher percentage of White residents at 62% compared to 57% in Cottonwood.
- The Asian population is larger in Pittsburgh at 6% compared to 0% in Cottonwood.
- The Hispanic community is larger in Pittsburgh at 4% compared to 0% in Cottonwood.
- More residents identify as two or more races in Pittsburgh at 5% compared to 4% in Cottonwood.
- In Cottonwood, the percentage of American Indian residents is higher at 2%, compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Cottonwood |
|---|---|---|
| Mental Health Not Good | 16.3% | 20.4% |
| Physical Health Not Good | 11.7% | 14.1% |
| Depression | 21.1% | 26.3% |
| Smoking | 18.8% | 22.7% |
| Binge Drinking | 19.3% | 14.5% |
| Obesity | 35.0% | 40.8% |
| Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Pittsburgh vs Cottonwood
- In Cottonwood, a higher percentage report poor mental health at 20.4% compared to 16.3% in Pittsburgh.
- Higher depression rates are seen in Cottonwood at 26.3% versus 21.1% in Pittsburgh.
- Cottonwood has a higher smoking rate at 22.7% compared to 18.8% in Pittsburgh.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 14.5% in Cottonwood.
- Cottonwood has higher obesity rates at 40.8% compared to 35.0% in Pittsburgh.
- There is a higher percentage of disabled individuals in Cottonwood at 20.0% compared to 14.0% in Pittsburgh.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Cottonwood |
|---|---|---|
| No Schooling | 0.6% (1,955) | 3.4% (36) |
| High School Diploma | 13.9% (42,015) | 29.8% (315) |
| Less than High School | 6.6% (20,087) | 28.8% (304) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 9.2% (97) |
Education Levels Comparison: Pittsburgh vs Cottonwood
- In Cottonwood, a larger percentage of residents lack formal schooling at 3.4% compared to 0.6% in Pittsburgh.
- In Cottonwood, the rate of residents with high school diplomas is higher at 29.8% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Cottonwood at 28.8%, 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 9.2% in Cottonwood.
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.