Demographics details for Portsmouth, VA vs Avella, PA
Population Overview
Compare main population characteristics in Portsmouth, VA vs Avella, PA.
| Data | Portsmouth | Avella |
|---|---|---|
| Population | 97,029 | 798 |
| Median Age | 35.6 years | 33.2 years |
| Median Income | $57,154 | $61,806 |
| Married Families | 30.0% | 28.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.6 | 4.5 |
Population Comparison: Portsmouth vs Avella
- In Portsmouth, the population is higher at 97,029, compared to 798 in Avella.
- Residents in Portsmouth have a higher median age of 35.6 years compared to 33.2 years in Avella.
- Avella has a higher median income of $61,806, compared to $57,154 in Portsmouth.
- A higher percentage of married families is found in Portsmouth at 30.0% compared to 28.0% in Avella.
- Portsmouth has a higher poverty level at 15% compared to 10% in Avella.
- Avella has a higher unemployment rate at 4.5% compared to 3.6% in Portsmouth.
Demographics
Demographics Portsmouth vs Avella provide insight into the diversity of the communities to compare.
| Demographic | Portsmouth | Avella |
|---|---|---|
| Black | 52 | Data is updating |
| White | 35 | 96 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Portsmouth vs Avella
- A higher percentage of Black residents are in Portsmouth at 52% compared to 0% in Avella.
- The percentage of White residents is higher in Avella at 96% compared to 35% in Portsmouth.
- The Asian population is larger in Portsmouth at 1% compared to 0% in Avella.
- The Hispanic community is larger in Portsmouth at 5% compared to 0% in Avella.
- More residents identify as two or more races in Portsmouth at 7% compared to 4% in Avella.
- The percentage of American Indian residents is the same in both Portsmouth and Avella at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Portsmouth | Avella |
|---|---|---|
| Mental Health Not Good | 17.1% | 16.5% |
| Physical Health Not Good | 12.1% | 11.0% |
| Depression | 21.0% | 22.2% |
| Smoking | 18.5% | 19.0% |
| Binge Drinking | 15.0% | 19.1% |
| Obesity | 47.1% | 34.4% |
| Disability Percentage | 14.0% | 27.0% |
Health Statistics Comparison: Portsmouth vs Avella
- More residents in Portsmouth report poor mental health at 17.1% compared to 16.5% in Avella.
- Higher depression rates are seen in Avella at 22.2% versus 21.0% in Portsmouth.
- Avella has a higher smoking rate at 19.0% compared to 18.5% in Portsmouth.
- More residents engage in binge drinking in Avella at 19.1% compared to 15.0% in Portsmouth.
- Obesity rates are higher in Portsmouth at 47.1% compared to 34.4% in Avella.
- There is a higher percentage of disabled individuals in Avella at 27.0% compared to 14.0% in Portsmouth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Portsmouth | Avella |
|---|---|---|
| No Schooling | 0.8% (737) | 0.0% (Data is updating) |
| High School Diploma | 17.5% (17,012) | 26.6% (212) |
| Less than High School | 9.6% (9,309) | 17.3% (138) |
| Bachelor's Degree and Higher | 14.4% (13,933) | 7.5% (60) |
Education Levels Comparison: Portsmouth vs Avella
- A higher percentage of residents in Portsmouth have no formal schooling at 0.8% compared to 0.0% in Avella.
- In Avella, the rate of residents with high school diplomas is higher at 26.6% compared to 17.5% in Portsmouth.
- The percentage of residents with less than a high school education is higher in Avella at 17.3%, compared to 9.6% in Portsmouth.
- A higher percentage of residents in Portsmouth hold a bachelor's degree or higher at 14.4% 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.