Demographics details for Fort payne, AL vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Fort payne, AL vs Pittsburgh, PA.
| Data | Fort payne | Pittsburgh |
|---|---|---|
| Population | 14,879 | 302,898 |
| Median Age | 39.7 years | 33.5 years |
| Median Income | $44,549 | $60,187 |
| Married Families | 38.0% | 26.0% |
| Poverty Level | 11% | 15% |
| Unemployment Rate | 2.5 | 3.4 |
Population Comparison: Fort payne vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 14,879 in Fort payne.
- Residents in Fort payne have a higher median age of 39.7 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $44,549 in Fort payne.
- A higher percentage of married families is found in Fort payne at 38.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 11% in Fort payne.
- Pittsburgh has a higher unemployment rate at 3.4% compared to 2.5% in Fort payne.
Demographics
Demographics Fort payne vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Fort payne | Pittsburgh |
|---|---|---|
| Black | 2 | 23 |
| White | 72 | 62 |
| Asian | Data is updating | 6 |
| Hispanic | 20 | 4 |
| Two or More Races | 4 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Fort payne vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 2% in Fort payne.
- Fort payne has a higher percentage of White residents at 72% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 0% in Fort payne.
- The Hispanic community is larger in Fort payne at 20% compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Pittsburgh at 5%, compared to 4% in Fort payne.
- A greater percentage of American Indian residents live in Fort payne at 2% compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort payne | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 21.2% | 16.3% |
| Physical Health Not Good | 16.1% | 11.7% |
| Depression | 26.0% | 21.1% |
| Smoking | 23.3% | 18.8% |
| Binge Drinking | 14.3% | 19.3% |
| Obesity | 41.8% | 35.0% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Fort payne vs Pittsburgh
- More residents in Fort payne report poor mental health at 21.2% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Fort payne at 26.0% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Fort payne at 23.3% compared to 18.8% in Pittsburgh.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 14.3% in Fort payne.
- Obesity rates are higher in Fort payne at 41.8% compared to 35.0% in Pittsburgh.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% compared to 13.0% in Fort payne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fort payne | Pittsburgh |
|---|---|---|
| No Schooling | 2.7% (402) | 0.6% (1,955) |
| High School Diploma | 14.2% (2,110) | 13.9% (42,015) |
| Less than High School | 27.9% (4,155) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 11.9% (1,767) | 32.1% (97,219) |
Education Levels Comparison: Fort payne vs Pittsburgh
- A higher percentage of residents in Fort payne have no formal schooling at 2.7% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Fort payne hold a high school diploma at 14.2% compared to 13.9% in Pittsburgh.
- More residents in Fort payne have less than a high school education at 27.9% compared to 6.6% in Pittsburgh.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 11.9% in Fort payne.
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.