Demographics details for Willow street, PA vs Anza, CA
Population Overview
Compare main population characteristics in Willow street, PA vs Anza, CA.
| Data | Willow street | Anza |
|---|---|---|
| Population | 9,640 | 1,959 |
| Median Age | 52.8 years | 43.3 years |
| Median Income | $100,727 | $50,956 |
| Married Families | 53.0% | 32.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Willow street vs Anza
- In Willow street, the population is higher at 9,640, compared to 1,959 in Anza.
- Residents in Willow street have a higher median age of 52.8 years compared to 43.3 years in Anza.
- Willow street has a higher median income of $100,727 compared to $50,956 in Anza.
- A higher percentage of married families is found in Willow street at 53.0% compared to 32.0% in Anza.
- The poverty level is higher in Anza at 14%, compared to 5% in Willow street.
- Anza has a higher unemployment rate at 3.5% compared to 3.2% in Willow street.
Demographics
Demographics Willow street vs Anza provide insight into the diversity of the communities to compare.
| Demographic | Willow street | Anza |
|---|---|---|
| Black | 2 | Data is updating |
| White | 81 | 58 |
| Asian | 4 | 14 |
| Hispanic | 7 | 18 |
| Two or More Races | 5 | 9 |
| American Indian | 1 | 1 |
Demographics Comparison: Willow street vs Anza
- A higher percentage of Black residents are in Willow street at 2% compared to 0% in Anza.
- Willow street has a higher percentage of White residents at 81% compared to 58% in Anza.
- In Anza, the Asian population stands at 14%, greater than 4% in Willow street.
- Anza has a higher percentage of Hispanic residents at 18%, compared to 7% in Willow street.
- The percentage of residents identifying as two or more races is higher in Anza at 9%, compared to 5% in Willow street.
- The percentage of American Indian residents is the same in both Willow street and Anza at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willow street | Anza |
|---|---|---|
| Mental Health Not Good | 14.8% | 17.7% |
| Physical Health Not Good | 9.7% | 12.5% |
| Depression | 22.3% | 19.9% |
| Smoking | 14.9% | 15.6% |
| Binge Drinking | 18.7% | 17.1% |
| Obesity | 32.9% | 37.1% |
| Disability Percentage | 17.0% | 24.0% |
Health Statistics Comparison: Willow street vs Anza
- In Anza, a higher percentage report poor mental health at 17.7% compared to 14.8% in Willow street.
- Depression is more prevalent in Willow street at 22.3% compared to 19.9% in Anza.
- Anza has a higher smoking rate at 15.6% compared to 14.9% in Willow street.
- Binge drinking is more common in Willow street at 18.7% compared to 17.1% in Anza.
- Anza has higher obesity rates at 37.1% compared to 32.9% in Willow street.
- There is a higher percentage of disabled individuals in Anza at 24.0% compared to 17.0% in Willow street.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Willow street | Anza |
|---|---|---|
| No Schooling | 0.3% (32) | 0.0% (Data is updating) |
| High School Diploma | 17.8% (1,717) | 9.4% (184) |
| Less than High School | 7.6% (734) | 15.5% (304) |
| Bachelor's Degree and Higher | 36.5% (3,517) | 19.4% (381) |
Education Levels Comparison: Willow street vs Anza
- A higher percentage of residents in Willow street have no formal schooling at 0.3% compared to 0.0% in Anza.
- A higher percentage of residents in Willow street hold a high school diploma at 17.8% compared to 9.4% in Anza.
- The percentage of residents with less than a high school education is higher in Anza at 15.5%, 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 19.4% in Anza.
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.