Demographics details for Wasilla, AK vs Willow street, PA
Population Overview
Compare main population characteristics in Wasilla, AK vs Willow street, PA.
| Data | Wasilla | Willow street |
|---|---|---|
| Population | 9,711 | 9,640 |
| Median Age | 35.9 years | 52.8 years |
| Median Income | $69,534 | $100,727 |
| Married Families | 35.0% | 53.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | Data is updating | 3.2 |
Population Comparison: Wasilla vs Willow street
- In Wasilla, the population is higher at 9,711, compared to 9,640 in Willow street.
- The median age in Willow street is higher at 52.8 years, compared to 35.9 years in Wasilla.
- Willow street has a higher median income of $100,727, compared to $69,534 in Wasilla.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 35.0% in Wasilla.
- The poverty level is higher in Willow street at 5%, compared to 0% in Wasilla.
- Willow street has a higher unemployment rate at 3.2% compared to 0.0% in Wasilla.
Demographics
Demographics Wasilla vs Willow street provide insight into the diversity of the communities to compare.
| Demographic | Wasilla | Willow street |
|---|---|---|
| Black | 1 | 2 |
| White | 74 | 81 |
| Asian | 3 | 4 |
| Hispanic | 6 | 7 |
| Two or More Races | 9 | 5 |
| American Indian | 7 | 1 |
Demographics Comparison: Wasilla vs Willow street
- In Willow street, the percentage of Black residents is higher at 2% compared to 1% in Wasilla.
- The percentage of White residents is higher in Willow street at 81% compared to 74% in Wasilla.
- In Willow street, the Asian population stands at 4%, greater than 3% in Wasilla.
- Willow street has a higher percentage of Hispanic residents at 7%, compared to 6% in Wasilla.
- More residents identify as two or more races in Wasilla at 9% compared to 5% in Willow street.
- A greater percentage of American Indian residents live in Wasilla at 7% compared to 1% in Willow street.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wasilla | Willow street |
|---|---|---|
| Mental Health Not Good | 17.2% | 14.8% |
| Physical Health Not Good | 12.7% | 9.7% |
| Depression | 23.2% | 22.3% |
| Smoking | 20.8% | 14.9% |
| Binge Drinking | 18.3% | 18.7% |
| Obesity | 35.8% | 32.9% |
| Disability Percentage | 15.0% | 17.0% |
Health Statistics Comparison: Wasilla vs Willow street
- More residents in Wasilla report poor mental health at 17.2% compared to 14.8% in Willow street.
- Depression is more prevalent in Wasilla at 23.2% compared to 22.3% in Willow street.
- Smoking is more prevalent in Wasilla at 20.8% compared to 14.9% in Willow street.
- More residents engage in binge drinking in Willow street at 18.7% compared to 18.3% in Wasilla.
- Obesity rates are higher in Wasilla at 35.8% compared to 32.9% in Willow street.
- There is a higher percentage of disabled individuals in Willow street at 17.0% compared to 15.0% in Wasilla.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wasilla | Willow street |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (32) |
| High School Diploma | 21.1% (2,051) | 17.8% (1,717) |
| Less than High School | 5.3% (514) | 7.6% (734) |
| Bachelor's Degree and Higher | 13.3% (1,288) | 36.5% (3,517) |
Education Levels Comparison: Wasilla vs Willow street
- In Willow street, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Wasilla.
- A higher percentage of residents in Wasilla hold a high school diploma at 21.1% compared to 17.8% in Willow street.
- The percentage of residents with less than a high school education is higher in Willow street at 7.6%, compared to 5.3% in Wasilla.
- In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% compared to 13.3% in Wasilla.
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.