Demographics details for Dublin, CA vs Red wing, MN
Population Overview
Compare main population characteristics in Dublin, CA vs Red wing, MN.
| Data | Dublin | Red wing |
|---|---|---|
| Population | 72,060 | 16,672 |
| Median Age | 37.1 years | 42.4 years |
| Median Income | $191,039 | $65,107 |
| Married Families | 47.0% | 40.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 4.3 | 3.7 |
Population Comparison: Dublin vs Red wing
- In Dublin, the population is higher at 72,060, compared to 16,672 in Red wing.
- The median age in Red wing is higher at 42.4 years, compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039 compared to $65,107 in Red wing.
- A higher percentage of married families is found in Dublin at 47.0% compared to 40.0% in Red wing.
- The poverty level is higher in Red wing at 8%, compared to 5% in Dublin.
- The unemployment rate in Dublin is higher at 4.3%, compared to 3.7% in Red wing.
Demographics
Demographics Dublin vs Red wing provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Red wing |
|---|---|---|
| Black | 4 | 3 |
| White | 23 | 86 |
| Asian | 53 | 1 |
| Hispanic | 10 | 5 |
| Two or More Races | 9 | 3 |
| American Indian | 1 | 2 |
Demographics Comparison: Dublin vs Red wing
- A higher percentage of Black residents are in Dublin at 4% compared to 3% in Red wing.
- The percentage of White residents is higher in Red wing at 86% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 1% in Red wing.
- The Hispanic community is larger in Dublin at 10% compared to 5% in Red wing.
- More residents identify as two or more races in Dublin at 9% compared to 3% in Red wing.
- In Red wing, 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 | Red wing |
|---|---|---|
| Mental Health Not Good | 12.8% | 14.9% |
| Physical Health Not Good | 7.3% | 9.6% |
| Depression | 16.2% | 23.4% |
| Smoking | 7.4% | 17.8% |
| Binge Drinking | 16.8% | 19.1% |
| Obesity | 23.6% | 38.6% |
| Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Dublin vs Red wing
- In Red wing, a higher percentage report poor mental health at 14.9% compared to 12.8% in Dublin.
- Higher depression rates are seen in Red wing at 23.4% versus 16.2% in Dublin.
- Red wing has a higher smoking rate at 17.8% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Red wing at 19.1% compared to 16.8% in Dublin.
- Red wing has higher obesity rates at 38.6% compared to 23.6% in Dublin.
- There is a higher percentage of disabled individuals in Red wing 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 | Red wing |
|---|---|---|
| No Schooling | 0.6% (461) | 0.6% (98) |
| High School Diploma | 5.9% (4,230) | 20.6% (3,441) |
| Less than High School | 4.3% (3,081) | 9.7% (1,617) |
| Bachelor's Degree and Higher | 46.5% (33,513) | 19.4% (3,232) |
Education Levels Comparison: Dublin vs Red wing
- The percentage of residents with no formal schooling is the same in both Dublin and Red wing at 0.6%.
- In Red wing, the rate of residents with high school diplomas is higher at 20.6% compared to 5.9% in Dublin.
- The percentage of residents with less than a high school education is higher in Red wing at 9.7%, 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 19.4% in Red wing.
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.