Demographics details for Willow street, PA vs Suffolk, VA
Population Overview
Compare main population characteristics in Willow street, PA vs Suffolk, VA.
| Data | Willow street | Suffolk |
|---|---|---|
| Population | 9,640 | 98,537 |
| Median Age | 52.8 years | 38.5 years |
| Median Income | $100,727 | $87,758 |
| Married Families | 53.0% | 40.0% |
| Poverty Level | 5% | 7% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Willow street vs Suffolk
- The population in Suffolk is higher at 98,537, compared to 9,640 in Willow street.
- Residents in Willow street have a higher median age of 52.8 years compared to 38.5 years in Suffolk.
- Willow street has a higher median income of $100,727 compared to $87,758 in Suffolk.
- A higher percentage of married families is found in Willow street at 53.0% compared to 40.0% in Suffolk.
- The poverty level is higher in Suffolk at 7%, compared to 5% in Willow street.
- The unemployment rate is the same in both Willow street and Suffolk at 3.2%.
Demographics
Demographics Willow street vs Suffolk provide insight into the diversity of the communities to compare.
| Demographic | Willow street | Suffolk |
|---|---|---|
| Black | 2 | 40 |
| White | 81 | 47 |
| Asian | 4 | 2 |
| Hispanic | 7 | 5 |
| Two or More Races | 5 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Willow street vs Suffolk
- In Suffolk, the percentage of Black residents is higher at 40% compared to 2% in Willow street.
- Willow street has a higher percentage of White residents at 81% compared to 47% in Suffolk.
- The Asian population is larger in Willow street at 4% compared to 2% in Suffolk.
- The Hispanic community is larger in Willow street at 7% compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in Suffolk at 6%, compared to 5% in Willow street.
- A greater percentage of American Indian residents live in Willow street at 1% compared to 0% in Suffolk.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willow street | Suffolk |
|---|---|---|
| Mental Health Not Good | 14.8% | 16.6% |
| Physical Health Not Good | 9.7% | 10.6% |
| Depression | 22.3% | 21.4% |
| Smoking | 14.9% | 15.3% |
| Binge Drinking | 18.7% | 16.6% |
| Obesity | 32.9% | 42.4% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Willow street vs Suffolk
- In Suffolk, a higher percentage report poor mental health at 16.6% compared to 14.8% in Willow street.
- Depression is more prevalent in Willow street at 22.3% compared to 21.4% in Suffolk.
- Suffolk has a higher smoking rate at 15.3% compared to 14.9% in Willow street.
- Binge drinking is more common in Willow street at 18.7% compared to 16.6% in Suffolk.
- Suffolk has higher obesity rates at 42.4% compared to 32.9% in Willow street.
- Disability percentages are higher in Willow street at 17.0% compared to 11.0% in Suffolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Willow street | Suffolk |
|---|---|---|
| No Schooling | 0.3% (32) | 1.0% (965) |
| High School Diploma | 17.8% (1,717) | 14.9% (14,643) |
| Less than High School | 7.6% (734) | 7.8% (7,701) |
| Bachelor's Degree and Higher | 36.5% (3,517) | 21.0% (20,740) |
Education Levels Comparison: Willow street vs Suffolk
- In Suffolk, a larger percentage of residents lack formal schooling at 1.0% compared to 0.3% in Willow street.
- A higher percentage of residents in Willow street hold a high school diploma at 17.8% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Suffolk at 7.8%, compared to 7.6% in Willow street.
- A higher percentage of residents in Willow street hold a bachelor's degree or higher at 36.5% compared to 21.0% in Suffolk.
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.