Demographics details for Dublin, CA vs Willow street, PA
Population Overview
Compare main population characteristics in Dublin, CA vs Willow street, PA.
| Data | Dublin | Willow street |
|---|---|---|
| Population | 72,060 | 9,640 |
| Median Age | 37.1 years | 52.8 years |
| Median Income | $191,039 | $100,727 |
| Married Families | 47.0% | 53.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 4.3 | 3.2 |
Population Comparison: Dublin vs Willow street
- In Dublin, the population is higher at 72,060, compared to 9,640 in Willow street.
- The median age in Willow street is higher at 52.8 years, compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039 compared to $100,727 in Willow street.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 47.0% in Dublin.
- The poverty level is identical in both Dublin and Willow street at 5%.
- The unemployment rate in Dublin is higher at 4.3%, compared to 3.2% in Willow street.
Demographics
Demographics Dublin vs Willow street provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Willow street |
|---|---|---|
| Black | 4 | 2 |
| White | 23 | 81 |
| Asian | 53 | 4 |
| Hispanic | 10 | 7 |
| Two or More Races | 9 | 5 |
| American Indian | 1 | 1 |
Demographics Comparison: Dublin vs Willow street
- A higher percentage of Black residents are in Dublin at 4% compared to 2% in Willow street.
- The percentage of White residents is higher in Willow street at 81% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 4% in Willow street.
- The Hispanic community is larger in Dublin at 10% compared to 7% in Willow street.
- More residents identify as two or more races in Dublin at 9% compared to 5% in Willow street.
- The percentage of American Indian residents is the same in both Dublin and Willow street at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Willow street |
|---|---|---|
| Mental Health Not Good | 12.8% | 14.8% |
| Physical Health Not Good | 7.3% | 9.7% |
| Depression | 16.2% | 22.3% |
| Smoking | 7.4% | 14.9% |
| Binge Drinking | 16.8% | 18.7% |
| Obesity | 23.6% | 32.9% |
| Disability Percentage | 6.0% | 17.0% |
Health Statistics Comparison: Dublin vs Willow street
- In Willow street, a higher percentage report poor mental health at 14.8% compared to 12.8% in Dublin.
- Higher depression rates are seen in Willow street at 22.3% versus 16.2% in Dublin.
- Willow street has a higher smoking rate at 14.9% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Willow street at 18.7% compared to 16.8% in Dublin.
- Willow street has higher obesity rates at 32.9% compared to 23.6% in Dublin.
- There is a higher percentage of disabled individuals in Willow street at 17.0% compared to 6.0% in Dublin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dublin | Willow street |
|---|---|---|
| No Schooling | 0.6% (461) | 0.3% (32) |
| High School Diploma | 5.9% (4,230) | 17.8% (1,717) |
| Less than High School | 4.3% (3,081) | 7.6% (734) |
| Bachelor's Degree and Higher | 46.5% (33,513) | 36.5% (3,517) |
Education Levels Comparison: Dublin vs Willow street
- A higher percentage of residents in Dublin have no formal schooling at 0.6% compared to 0.3% in Willow street.
- In Willow street, the rate of residents with high school diplomas is higher at 17.8% compared to 5.9% in Dublin.
- The percentage of residents with less than a high school education is higher in Willow street at 7.6%, compared to 4.3% in Dublin.
- A higher percentage of residents in Dublin hold a bachelor's degree or higher at 46.5% compared to 36.5% in Willow street.
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.