Demographics details for Dublin, CA vs Queenstown, MD
Population Overview
Compare main population characteristics in Dublin, CA vs Queenstown, MD.
| Data | Dublin | Queenstown |
|---|---|---|
| Population | 72,060 | 741 |
| Median Age | 37.1 years | 35.3 years |
| Median Income | $191,039 | $101,964 |
| Married Families | 47.0% | 43.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Dublin vs Queenstown
- In Dublin, the population is higher at 72,060, compared to 741 in Queenstown.
- Residents in Dublin have a higher median age of 37.1 years compared to 35.3 years in Queenstown.
- Dublin has a higher median income of $191,039 compared to $101,964 in Queenstown.
- A higher percentage of married families is found in Dublin at 47.0% compared to 43.0% in Queenstown.
- The poverty level is identical in both Dublin and Queenstown at 5%.
- The unemployment rate in Dublin is higher at 4.3%, compared to 4.2% in Queenstown.
Demographics
Demographics Dublin vs Queenstown provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Queenstown |
|---|---|---|
| Black | 4 | 13 |
| White | 23 | 30 |
| Asian | 53 | Data is updating |
| Hispanic | 10 | 34 |
| Two or More Races | 9 | 21 |
| American Indian | 1 | 2 |
Demographics Comparison: Dublin vs Queenstown
- In Queenstown, the percentage of Black residents is higher at 13% compared to 4% in Dublin.
- The percentage of White residents is higher in Queenstown at 30% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 0% in Queenstown.
- Queenstown has a higher percentage of Hispanic residents at 34%, compared to 10% in Dublin.
- The percentage of residents identifying as two or more races is higher in Queenstown at 21%, compared to 9% in Dublin.
- In Queenstown, the percentage of American Indian residents is higher at 2%, compared to 1% in Dublin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Queenstown |
|---|---|---|
| Mental Health Not Good | 12.8% | 14.5% |
| Physical Health Not Good | 7.3% | 8.4% |
| Depression | 16.2% | 20.2% |
| Smoking | 7.4% | 12.0% |
| Binge Drinking | 16.8% | 17.8% |
| Obesity | 23.6% | 33.7% |
| Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Dublin vs Queenstown
- In Queenstown, a higher percentage report poor mental health at 14.5% compared to 12.8% in Dublin.
- Higher depression rates are seen in Queenstown at 20.2% versus 16.2% in Dublin.
- Queenstown has a higher smoking rate at 12.0% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Queenstown at 17.8% compared to 16.8% in Dublin.
- Queenstown has higher obesity rates at 33.7% compared to 23.6% in Dublin.
- There is a higher percentage of disabled individuals in Queenstown at 11.0% 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 | Queenstown |
|---|---|---|
| No Schooling | 0.6% (461) | 2.7% (20) |
| High School Diploma | 5.9% (4,230) | 17.8% (132) |
| Less than High School | 4.3% (3,081) | 14.6% (108) |
| Bachelor's Degree and Higher | 46.5% (33,513) | 28.3% (210) |
Education Levels Comparison: Dublin vs Queenstown
- In Queenstown, a larger percentage of residents lack formal schooling at 2.7% compared to 0.6% in Dublin.
- In Queenstown, 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 Queenstown at 14.6%, 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 28.3% in Queenstown.
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.