Demographics details for Beverly, MA vs Willow street, PA
Population Overview
Compare main population characteristics in Beverly, MA vs Willow street, PA.
| Data | Beverly | Willow street |
|---|---|---|
| Population | 42,235 | 9,640 |
| Median Age | 40.3 years | 52.8 years |
| Median Income | $99,525 | $100,727 |
| Married Families | 40.0% | 53.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Beverly vs Willow street
- In Beverly, the population is higher at 42,235, compared to 9,640 in Willow street.
- The median age in Willow street is higher at 52.8 years, compared to 40.3 years in Beverly.
- Willow street has a higher median income of $100,727, compared to $99,525 in Beverly.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 40.0% in Beverly.
- The poverty level is identical in both Beverly and Willow street at 5%.
- The unemployment rate in Beverly is higher at 3.5%, compared to 3.2% in Willow street.
Demographics
Demographics Beverly vs Willow street provide insight into the diversity of the communities to compare.
| Demographic | Beverly | Willow street |
|---|---|---|
| Black | 3 | 2 |
| White | 83 | 81 |
| Asian | 3 | 4 |
| Hispanic | 6 | 7 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Beverly vs Willow street
- A higher percentage of Black residents are in Beverly at 3% compared to 2% in Willow street.
- Beverly has a higher percentage of White residents at 83% compared to 81% in Willow street.
- In Willow street, the Asian population stands at 4%, greater than 3% in Beverly.
- Willow street has a higher percentage of Hispanic residents at 7%, compared to 6% in Beverly.
- Both Beverly and Willow street have the same percentage of residents identifying as two or more races at 5%.
- In Willow street, the percentage of American Indian residents is higher at 1%, compared to 0% in Beverly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beverly | Willow street |
|---|---|---|
| Mental Health Not Good | 16.1% | 14.8% |
| Physical Health Not Good | 8.5% | 9.7% |
| Depression | 23.6% | 22.3% |
| Smoking | 11.9% | 14.9% |
| Binge Drinking | 18.4% | 18.7% |
| Obesity | 28.5% | 32.9% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Beverly vs Willow street
- More residents in Beverly report poor mental health at 16.1% compared to 14.8% in Willow street.
- Depression is more prevalent in Beverly at 23.6% compared to 22.3% in Willow street.
- Willow street has a higher smoking rate at 14.9% compared to 11.9% in Beverly.
- More residents engage in binge drinking in Willow street at 18.7% compared to 18.4% in Beverly.
- Willow street has higher obesity rates at 32.9% compared to 28.5% in Beverly.
- There is a higher percentage of disabled individuals in Willow street at 17.0% compared to 11.0% in Beverly.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Beverly | Willow street |
|---|---|---|
| No Schooling | 0.3% (143) | 0.3% (32) |
| High School Diploma | 13.0% (5,502) | 17.8% (1,717) |
| Less than High School | 4.0% (1,686) | 7.6% (734) |
| Bachelor's Degree and Higher | 36.2% (15,307) | 36.5% (3,517) |
Education Levels Comparison: Beverly vs Willow street
- The percentage of residents with no formal schooling is the same in both Beverly and Willow street at 0.3%.
- In Willow street, the rate of residents with high school diplomas is higher at 17.8% compared to 13.0% in Beverly.
- The percentage of residents with less than a high school education is higher in Willow street at 7.6%, compared to 4.0% in Beverly.
- In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% compared to 36.2% in Beverly.
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.