Demographics details for Sharon, MA vs Avella, PA
Population Overview
Compare main population characteristics in Sharon, MA vs Avella, PA.
| Data | Sharon | Avella |
|---|---|---|
| Population | 17,612 | 798 |
| Median Age | 40.5 years | 33.2 years |
| Median Income | $126,000 | $61,806 |
| Married Families | 62.0% | 28.0% |
| Poverty Level | 2% | 10% |
| Unemployment Rate | 3.6 | 4.5 |
Population Comparison: Sharon vs Avella
- In Sharon, the population is higher at 17,612, compared to 798 in Avella.
- Residents in Sharon have a higher median age of 40.5 years compared to 33.2 years in Avella.
- Sharon has a higher median income of $126,000 compared to $61,806 in Avella.
- A higher percentage of married families is found in Sharon at 62.0% compared to 28.0% in Avella.
- The poverty level is higher in Avella at 10%, compared to 2% in Sharon.
- Avella has a higher unemployment rate at 4.5% compared to 3.6% in Sharon.
Demographics
Demographics Sharon vs Avella provide insight into the diversity of the communities to compare.
| Demographic | Sharon | Avella |
|---|---|---|
| Black | 1.9 | Data is updating |
| White | 88.2 | 96 |
| Asian | 5.3 | Data is updating |
| Hispanic | 3.5 | Data is updating |
| Two or More Races | 2.0 | 4 |
| American Indian | 0.1 | Data is updating |
Demographics Comparison: Sharon vs Avella
- A higher percentage of Black residents are in Sharon at 1.9% compared to 0% in Avella.
- The percentage of White residents is higher in Avella at 96% compared to 88.2% in Sharon.
- The Asian population is larger in Sharon at 5.3% compared to 0% in Avella.
- The Hispanic community is larger in Sharon at 3.5% compared to 0% in Avella.
- The percentage of residents identifying as two or more races is higher in Avella at 4%, compared to 2.0% in Sharon.
- A greater percentage of American Indian residents live in Sharon at 0.1% compared to 0% in Avella.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sharon | Avella |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.5% |
| Physical Health Not Good | Data is updating% | 11.0% |
| Depression | Data is updating% | 22.2% |
| Smoking | Data is updating% | 19.0% |
| Binge Drinking | Data is updating% | 19.1% |
| Obesity | Data is updating% | 34.4% |
| Disability Percentage | Data is updating% | 27.0% |
Health Statistics Comparison: Sharon vs Avella
- In Avella, a higher percentage report poor mental health at 16.5% compared to 0.0% in Sharon.
- Higher depression rates are seen in Avella at 22.2% versus 0.0% in Sharon.
- Avella has a higher smoking rate at 19.0% compared to 0.0% in Sharon.
- More residents engage in binge drinking in Avella at 19.1% compared to 0.0% in Sharon.
- Avella has higher obesity rates at 34.4% compared to 0.0% in Sharon.
- There is a higher percentage of disabled individuals in Avella at 27.0% compared to 0.0% in Sharon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sharon | Avella |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 26.6% (212) |
| Less than High School | 0.0% (Data is updating) | 17.3% (138) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.5% (60) |
Education Levels Comparison: Sharon vs Avella
- The percentage of residents with no formal schooling is the same in both Sharon and Avella at 0.0%.
- In Avella, the rate of residents with high school diplomas is higher at 26.6% compared to 0.0% in Sharon.
- The percentage of residents with less than a high school education is higher in Avella at 17.3%, compared to 0.0% in Sharon.
- In Avella, a larger share of residents have a bachelor's degree or higher at 7.5% compared to 0.0% in Sharon.
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.