Demographics details for Avella, PA vs Fort payne, AL
Population Overview
Compare main population characteristics in Avella, PA vs Fort payne, AL.
| Data | Avella | Fort payne |
|---|---|---|
| Population | 798 | 14,879 |
| Median Age | 33.2 years | 39.7 years |
| Median Income | $61,806 | $44,549 |
| Married Families | 28.0% | 38.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Avella vs Fort payne
- The population in Fort payne is higher at 14,879, compared to 798 in Avella.
- The median age in Fort payne is higher at 39.7 years, compared to 33.2 years in Avella.
- Avella has a higher median income of $61,806 compared to $44,549 in Fort payne.
- In Fort payne, the percentage of married families is higher at 38.0%, compared to 28.0% in Avella.
- The poverty level is higher in Fort payne at 11%, compared to 10% in Avella.
- The unemployment rate in Avella is higher at 4.5%, compared to 2.5% in Fort payne.
Demographics
Demographics Avella vs Fort payne provide insight into the diversity of the communities to compare.
| Demographic | Avella | Fort payne |
|---|---|---|
| Black | Data is updating | 2 |
| White | 96 | 72 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 20 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Avella vs Fort payne
- In Fort payne, the percentage of Black residents is higher at 2% compared to 0% in Avella.
- Avella has a higher percentage of White residents at 96% compared to 72% in Fort payne.
- Both Avella and Fort payne have the same percentage of Asian residents at 0%.
- Fort payne has a higher percentage of Hispanic residents at 20%, compared to 0% in Avella.
- Both Avella and Fort payne have the same percentage of residents identifying as two or more races at 4%.
- In Fort payne, the percentage of American Indian residents is higher at 2%, compared to 0% in Avella.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Avella | Fort payne |
|---|---|---|
| Mental Health Not Good | 16.5% | 21.2% |
| Physical Health Not Good | 11.0% | 16.1% |
| Depression | 22.2% | 26.0% |
| Smoking | 19.0% | 23.3% |
| Binge Drinking | 19.1% | 14.3% |
| Obesity | 34.4% | 41.8% |
| Disability Percentage | 27.0% | 13.0% |
Health Statistics Comparison: Avella vs Fort payne
- In Fort payne, a higher percentage report poor mental health at 21.2% compared to 16.5% in Avella.
- Higher depression rates are seen in Fort payne at 26.0% versus 22.2% in Avella.
- Fort payne has a higher smoking rate at 23.3% compared to 19.0% in Avella.
- Binge drinking is more common in Avella at 19.1% compared to 14.3% in Fort payne.
- Fort payne has higher obesity rates at 41.8% compared to 34.4% in Avella.
- Disability percentages are higher in Avella at 27.0% 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 | Avella | Fort payne |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.7% (402) |
| High School Diploma | 26.6% (212) | 14.2% (2,110) |
| Less than High School | 17.3% (138) | 27.9% (4,155) |
| Bachelor's Degree and Higher | 7.5% (60) | 11.9% (1,767) |
Education Levels Comparison: Avella vs Fort payne
- In Fort payne, a larger percentage of residents lack formal schooling at 2.7% compared to 0.0% in Avella.
- A higher percentage of residents in Avella hold a high school diploma at 26.6% compared to 14.2% in Fort payne.
- The percentage of residents with less than a high school education is higher in Fort payne at 27.9%, compared to 17.3% in Avella.
- In Fort payne, a larger share of residents have a bachelor's degree or higher at 11.9% compared to 7.5% in Avella.
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.