Demographics details for Avella, PA vs Trumann, AR
Population Overview
Compare main population characteristics in Avella, PA vs Trumann, AR.
| Data | Avella | Trumann |
|---|---|---|
| Population | 798 | 7,305 |
| Median Age | 33.2 years | 40.0 years |
| Median Income | $61,806 | $37,618 |
| Married Families | 28.0% | 35.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Avella vs Trumann
- The population in Trumann is higher at 7,305, compared to 798 in Avella.
- The median age in Trumann is higher at 40.0 years, compared to 33.2 years in Avella.
- Avella has a higher median income of $61,806 compared to $37,618 in Trumann.
- In Trumann, the percentage of married families is higher at 35.0%, compared to 28.0% in Avella.
- The poverty level is higher in Trumann at 13%, compared to 10% in Avella.
- The unemployment rate in Avella is higher at 4.5%, compared to 4.2% in Trumann.
Demographics
Demographics Avella vs Trumann provide insight into the diversity of the communities to compare.
| Demographic | Avella | Trumann |
|---|---|---|
| Black | Data is updating | 5 |
| White | 96 | 84 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 3 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Avella vs Trumann
- In Trumann, the percentage of Black residents is higher at 5% compared to 0% in Avella.
- Avella has a higher percentage of White residents at 96% compared to 84% in Trumann.
- Both Avella and Trumann have the same percentage of Asian residents at 0%.
- Trumann has a higher percentage of Hispanic residents at 3%, compared to 0% in Avella.
- The percentage of residents identifying as two or more races is higher in Trumann at 8%, compared to 4% in Avella.
- The percentage of American Indian residents is the same in both Avella and Trumann at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Avella | Trumann |
|---|---|---|
| Mental Health Not Good | 16.5% | 20.8% |
| Physical Health Not Good | 11.0% | 15.2% |
| Depression | 22.2% | 28.5% |
| Smoking | 19.0% | 25.0% |
| Binge Drinking | 19.1% | 14.4% |
| Obesity | 34.4% | 44.6% |
| Disability Percentage | 27.0% | 24.0% |
Health Statistics Comparison: Avella vs Trumann
- In Trumann, a higher percentage report poor mental health at 20.8% compared to 16.5% in Avella.
- Higher depression rates are seen in Trumann at 28.5% versus 22.2% in Avella.
- Trumann has a higher smoking rate at 25.0% compared to 19.0% in Avella.
- Binge drinking is more common in Avella at 19.1% compared to 14.4% in Trumann.
- Trumann has higher obesity rates at 44.6% compared to 34.4% in Avella.
- Disability percentages are higher in Avella at 27.0% compared to 24.0% in Trumann.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Avella | Trumann |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (135) |
| High School Diploma | 26.6% (212) | 25.9% (1,895) |
| Less than High School | 17.3% (138) | 24.4% (1,780) |
| Bachelor's Degree and Higher | 7.5% (60) | 6.7% (487) |
Education Levels Comparison: Avella vs Trumann
- In Trumann, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Avella.
- A higher percentage of residents in Avella hold a high school diploma at 26.6% compared to 25.9% in Trumann.
- The percentage of residents with less than a high school education is higher in Trumann at 24.4%, compared to 17.3% in Avella.
- A higher percentage of residents in Avella hold a bachelor's degree or higher at 7.5% compared to 6.7% in Trumann.
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.