Demographics details for Saint marys, PA vs Dublin, CA
Population Overview
Compare main population characteristics in Saint marys, PA vs Dublin, CA.
| Data | Saint marys | Dublin |
|---|---|---|
| Population | 12,520 | 72,060 |
| Median Age | 50.5 years | 37.1 years |
| Median Income | $61,364 | $191,039 |
| Married Families | 43.0% | 47.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Saint marys vs Dublin
- The population in Dublin is higher at 72,060, compared to 12,520 in Saint marys.
- Residents in Saint marys have a higher median age of 50.5 years compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039, compared to $61,364 in Saint marys.
- In Dublin, the percentage of married families is higher at 47.0%, compared to 43.0% in Saint marys.
- Saint marys has a higher poverty level at 9% compared to 5% in Dublin.
- The unemployment rate in Saint marys is higher at 4.5%, compared to 4.3% in Dublin.
Demographics
Demographics Saint marys vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Saint marys | Dublin |
|---|---|---|
| Black | 1 | 4 |
| White | 95 | 23 |
| Asian | Data is updating | 53 |
| Hispanic | 1 | 10 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Saint marys vs Dublin
- In Dublin, the percentage of Black residents is higher at 4% compared to 1% in Saint marys.
- Saint marys has a higher percentage of White residents at 95% compared to 23% in Dublin.
- In Dublin, the Asian population stands at 53%, greater than 0% in Saint marys.
- Dublin has a higher percentage of Hispanic residents at 10%, compared to 1% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Dublin at 9%, compared to 3% in Saint marys.
- In Dublin, the percentage of American Indian residents is higher at 1%, compared to 0% in Saint marys.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Saint marys | Dublin |
|---|---|---|
| Mental Health Not Good | 16.8% | 12.8% |
| Physical Health Not Good | 11.2% | 7.3% |
| Depression | 23.8% | 16.2% |
| Smoking | 19.4% | 7.4% |
| Binge Drinking | 18.7% | 16.8% |
| Obesity | 34.4% | 23.6% |
| Disability Percentage | 17.0% | 6.0% |
Health Statistics Comparison: Saint marys vs Dublin
- More residents in Saint marys report poor mental health at 16.8% compared to 12.8% in Dublin.
- Depression is more prevalent in Saint marys at 23.8% compared to 16.2% in Dublin.
- Smoking is more prevalent in Saint marys at 19.4% compared to 7.4% in Dublin.
- Binge drinking is more common in Saint marys at 18.7% compared to 16.8% in Dublin.
- Obesity rates are higher in Saint marys at 34.4% compared to 23.6% in Dublin.
- Disability percentages are higher in Saint marys 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 | Saint marys | Dublin |
|---|---|---|
| No Schooling | 0.5% (62) | 0.6% (461) |
| High School Diploma | 36.9% (4,616) | 5.9% (4,230) |
| Less than High School | 9.3% (1,170) | 4.3% (3,081) |
| Bachelor's Degree and Higher | 15.1% (1,895) | 46.5% (33,513) |
Education Levels Comparison: Saint marys vs Dublin
- In Dublin, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Saint marys.
- A higher percentage of residents in Saint marys hold a high school diploma at 36.9% compared to 5.9% in Dublin.
- More residents in Saint marys have less than a high school education at 9.3% compared to 4.3% in Dublin.
- In Dublin, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 15.1% in Saint marys.
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.