Demographics details for Willow street, PA vs Nashua, NH
Population Overview
Compare main population characteristics in Willow street, PA vs Nashua, NH.
| Data | Willow street | Nashua |
|---|---|---|
| Population | 9,640 | 91,161 |
| Median Age | 52.8 years | 40.1 years |
| Median Income | $100,727 | $88,766 |
| Married Families | 53.0% | 38.0% |
| Poverty Level | 5% | 7% |
| Unemployment Rate | 3.2 | 2.9 |
Population Comparison: Willow street vs Nashua
- The population in Nashua is higher at 91,161, compared to 9,640 in Willow street.
- Residents in Willow street have a higher median age of 52.8 years compared to 40.1 years in Nashua.
- Willow street has a higher median income of $100,727 compared to $88,766 in Nashua.
- A higher percentage of married families is found in Willow street at 53.0% compared to 38.0% in Nashua.
- The poverty level is higher in Nashua at 7%, compared to 5% in Willow street.
- The unemployment rate in Willow street is higher at 3.2%, compared to 2.9% in Nashua.
Demographics
Demographics Willow street vs Nashua provide insight into the diversity of the communities to compare.
| Demographic | Willow street | Nashua |
|---|---|---|
| Black | 2 | 3 |
| White | 81 | 67 |
| Asian | 4 | 8 |
| Hispanic | 7 | 13 |
| Two or More Races | 5 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Willow street vs Nashua
- In Nashua, the percentage of Black residents is higher at 3% compared to 2% in Willow street.
- Willow street has a higher percentage of White residents at 81% compared to 67% in Nashua.
- In Nashua, the Asian population stands at 8%, greater than 4% in Willow street.
- Nashua has a higher percentage of Hispanic residents at 13%, compared to 7% in Willow street.
- The percentage of residents identifying as two or more races is higher in Nashua at 9%, compared to 5% in Willow street.
- A greater percentage of American Indian residents live in Willow street at 1% compared to 0% in Nashua.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willow street | Nashua |
|---|---|---|
| Mental Health Not Good | 14.8% | 15.1% |
| Physical Health Not Good | 9.7% | 9.3% |
| Depression | 22.3% | 23.2% |
| Smoking | 14.9% | 14.7% |
| Binge Drinking | 18.7% | 14.9% |
| Obesity | 32.9% | 33.8% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Willow street vs Nashua
- In Nashua, a higher percentage report poor mental health at 15.1% compared to 14.8% in Willow street.
- Higher depression rates are seen in Nashua at 23.2% versus 22.3% in Willow street.
- Smoking is more prevalent in Willow street at 14.9% compared to 14.7% in Nashua.
- Binge drinking is more common in Willow street at 18.7% compared to 14.9% in Nashua.
- Nashua has higher obesity rates at 33.8% compared to 32.9% in Willow street.
- Disability percentages are higher in Willow street at 17.0% compared to 13.0% in Nashua.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Willow street | Nashua |
|---|---|---|
| No Schooling | 0.3% (32) | 0.7% (611) |
| High School Diploma | 17.8% (1,717) | 14.9% (13,556) |
| Less than High School | 7.6% (734) | 10.7% (9,760) |
| Bachelor's Degree and Higher | 36.5% (3,517) | 29.4% (26,830) |
Education Levels Comparison: Willow street vs Nashua
- In Nashua, a larger percentage of residents lack formal schooling at 0.7% 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 Nashua.
- The percentage of residents with less than a high school education is higher in Nashua at 10.7%, 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 29.4% in Nashua.
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.