Demographics details for Dublin, CA vs Greeley, CO
Population Overview
Compare main population characteristics in Dublin, CA vs Greeley, CO.
| Data | Dublin | Greeley |
|---|---|---|
| Population | 72,060 | 109,209 |
| Median Age | 37.1 years | 31.9 years |
| Median Income | $191,039 | $65,525 |
| Married Families | 47.0% | 36.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 4.3 | 4.8 |
Population Comparison: Dublin vs Greeley
- The population in Greeley is higher at 109,209, compared to 72,060 in Dublin.
- Residents in Dublin have a higher median age of 37.1 years compared to 31.9 years in Greeley.
- Dublin has a higher median income of $191,039 compared to $65,525 in Greeley.
- A higher percentage of married families is found in Dublin at 47.0% compared to 36.0% in Greeley.
- The poverty level is higher in Greeley at 12%, compared to 5% in Dublin.
- Greeley has a higher unemployment rate at 4.8% compared to 4.3% in Dublin.
Demographics
Demographics Dublin vs Greeley provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Greeley |
|---|---|---|
| Black | 4 | 3 |
| White | 23 | 45 |
| Asian | 53 | 1 |
| Hispanic | 10 | 39 |
| Two or More Races | 9 | 11 |
| American Indian | 1 | 1 |
Demographics Comparison: Dublin vs Greeley
- A higher percentage of Black residents are in Dublin at 4% compared to 3% in Greeley.
- The percentage of White residents is higher in Greeley at 45% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 1% in Greeley.
- Greeley has a higher percentage of Hispanic residents at 39%, compared to 10% in Dublin.
- The percentage of residents identifying as two or more races is higher in Greeley at 11%, compared to 9% in Dublin.
- The percentage of American Indian residents is the same in both Dublin and Greeley at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Greeley |
|---|---|---|
| Mental Health Not Good | 12.8% | 17.0% |
| Physical Health Not Good | 7.3% | 12.3% |
| Depression | 16.2% | 21.4% |
| Smoking | 7.4% | 16.5% |
| Binge Drinking | 16.8% | 16.7% |
| Obesity | 23.6% | 30.8% |
| Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Dublin vs Greeley
- In Greeley, a higher percentage report poor mental health at 17.0% compared to 12.8% in Dublin.
- Higher depression rates are seen in Greeley at 21.4% versus 16.2% in Dublin.
- Greeley has a higher smoking rate at 16.5% compared to 7.4% in Dublin.
- Binge drinking is more common in Dublin at 16.8% compared to 16.7% in Greeley.
- Greeley has higher obesity rates at 30.8% compared to 23.6% in Dublin.
- There is a higher percentage of disabled individuals in Greeley 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 | Greeley |
|---|---|---|
| No Schooling | 0.6% (461) | 2.2% (2,416) |
| High School Diploma | 5.9% (4,230) | 12.0% (13,106) |
| Less than High School | 4.3% (3,081) | 19.3% (21,128) |
| Bachelor's Degree and Higher | 46.5% (33,513) | 16.4% (17,877) |
Education Levels Comparison: Dublin vs Greeley
- In Greeley, a larger percentage of residents lack formal schooling at 2.2% compared to 0.6% in Dublin.
- In Greeley, the rate of residents with high school diplomas is higher at 12.0% compared to 5.9% in Dublin.
- The percentage of residents with less than a high school education is higher in Greeley at 19.3%, 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 16.4% in Greeley.
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.