Demographics details for Willow street, PA vs Marble, MN
Population Overview
Compare main population characteristics in Willow street, PA vs Marble, MN.
| Data | Willow street | Marble |
|---|---|---|
| Population | 9,640 | 611 |
| Median Age | 52.8 years | 33.6 years |
| Median Income | $100,727 | $51,094 |
| Married Families | 53.0% | 31.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Willow street vs Marble
- In Willow street, the population is higher at 9,640, compared to 611 in Marble.
- Residents in Willow street have a higher median age of 52.8 years compared to 33.6 years in Marble.
- Willow street has a higher median income of $100,727 compared to $51,094 in Marble.
- A higher percentage of married families is found in Willow street at 53.0% compared to 31.0% in Marble.
- The poverty level is higher in Marble at 10%, compared to 5% in Willow street.
- Marble has a higher unemployment rate at 4.0% compared to 3.2% in Willow street.
Demographics
Demographics Willow street vs Marble provide insight into the diversity of the communities to compare.
| Demographic | Willow street | Marble |
|---|---|---|
| Black | 2 | 2 |
| White | 81 | 90 |
| Asian | 4 | 2 |
| Hispanic | 7 | Data is updating |
| Two or More Races | 5 | 4 |
| American Indian | 1 | 2 |
Demographics Comparison: Willow street vs Marble
- The percentage of Black residents is the same in both Willow street and Marble at 2%.
- The percentage of White residents is higher in Marble at 90% compared to 81% in Willow street.
- The Asian population is larger in Willow street at 4% compared to 2% in Marble.
- The Hispanic community is larger in Willow street at 7% compared to 0% in Marble.
- More residents identify as two or more races in Willow street at 5% compared to 4% in Marble.
- In Marble, the percentage of American Indian residents is higher at 2%, compared to 1% in Willow street.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willow street | Marble |
|---|---|---|
| Mental Health Not Good | 14.8% | 15.7% |
| Physical Health Not Good | 9.7% | 10.2% |
| Depression | 22.3% | 23.9% |
| Smoking | 14.9% | 21.1% |
| Binge Drinking | 18.7% | 18.8% |
| Obesity | 32.9% | 41.3% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Willow street vs Marble
- In Marble, a higher percentage report poor mental health at 15.7% compared to 14.8% in Willow street.
- Higher depression rates are seen in Marble at 23.9% versus 22.3% in Willow street.
- Marble has a higher smoking rate at 21.1% compared to 14.9% in Willow street.
- More residents engage in binge drinking in Marble at 18.8% compared to 18.7% in Willow street.
- Marble has higher obesity rates at 41.3% compared to 32.9% in Willow street.
- Disability percentages are the same in both Willow street and Marble at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Willow street | Marble |
|---|---|---|
| No Schooling | 0.3% (32) | 0.0% (Data is updating) |
| High School Diploma | 17.8% (1,717) | 29.3% (179) |
| Less than High School | 7.6% (734) | 5.6% (34) |
| Bachelor's Degree and Higher | 36.5% (3,517) | 3.4% (21) |
Education Levels Comparison: Willow street vs Marble
- A higher percentage of residents in Willow street have no formal schooling at 0.3% compared to 0.0% in Marble.
- In Marble, the rate of residents with high school diplomas is higher at 29.3% compared to 17.8% in Willow street.
- More residents in Willow street have less than a high school education at 7.6% compared to 5.6% in Marble.
- A higher percentage of residents in Willow street hold a bachelor's degree or higher at 36.5% compared to 3.4% in Marble.
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.