Demographics details for Dublin, CA vs Chester, VA
Population Overview
Compare main population characteristics in Dublin, CA vs Chester, VA.
| Data | Dublin | Chester |
|---|---|---|
| Population | 72,060 | 23,068 |
| Median Age | 37.1 years | 40.6 years |
| Median Income | $191,039 | $87,242 |
| Married Families | 47.0% | 42.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Dublin vs Chester
- In Dublin, the population is higher at 72,060, compared to 23,068 in Chester.
- The median age in Chester is higher at 40.6 years, compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039 compared to $87,242 in Chester.
- A higher percentage of married families is found in Dublin at 47.0% compared to 42.0% in Chester.
- The poverty level is identical in both Dublin and Chester at 5%.
- The unemployment rate in Dublin is higher at 4.3%, compared to 3.5% in Chester.
Demographics
Demographics Dublin vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Chester |
|---|---|---|
| Black | 4 | 25 |
| White | 23 | 55 |
| Asian | 53 | 2 |
| Hispanic | 10 | 11 |
| Two or More Races | 9 | 6 |
| American Indian | 1 | 1 |
Demographics Comparison: Dublin vs Chester
- In Chester, the percentage of Black residents is higher at 25% compared to 4% in Dublin.
- The percentage of White residents is higher in Chester at 55% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 2% in Chester.
- Chester has a higher percentage of Hispanic residents at 11%, compared to 10% in Dublin.
- More residents identify as two or more races in Dublin at 9% compared to 6% in Chester.
- The percentage of American Indian residents is the same in both Dublin and Chester at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Chester |
|---|---|---|
| Mental Health Not Good | 12.8% | 16.6% |
| Physical Health Not Good | 7.3% | 10.0% |
| Depression | 16.2% | 21.3% |
| Smoking | 7.4% | 15.3% |
| Binge Drinking | 16.8% | 18.4% |
| Obesity | 23.6% | 36.5% |
| Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Dublin vs Chester
- In Chester, a higher percentage report poor mental health at 16.6% compared to 12.8% in Dublin.
- Higher depression rates are seen in Chester at 21.3% versus 16.2% in Dublin.
- Chester has a higher smoking rate at 15.3% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Chester at 18.4% compared to 16.8% in Dublin.
- Chester has higher obesity rates at 36.5% compared to 23.6% in Dublin.
- There is a higher percentage of disabled individuals in Chester 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 | Chester |
|---|---|---|
| No Schooling | 0.6% (461) | 1.5% (344) |
| High School Diploma | 5.9% (4,230) | 16.8% (3,871) |
| Less than High School | 4.3% (3,081) | 11.9% (2,738) |
| Bachelor's Degree and Higher | 46.5% (33,513) | 22.3% (5,134) |
Education Levels Comparison: Dublin vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 1.5% compared to 0.6% in Dublin.
- In Chester, the rate of residents with high school diplomas is higher at 16.8% compared to 5.9% in Dublin.
- The percentage of residents with less than a high school education is higher in Chester at 11.9%, 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 22.3% in Chester.
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.