Demographics details for Dublin, CA vs Franklin, GA
Population Overview
Compare main population characteristics in Dublin, CA vs Franklin, GA.
| Data | Dublin | Franklin |
|---|---|---|
| Population | 72,060 | 24,128 |
| Median Age | 37.1 years | 40.9 years |
| Median Income | $191,039 | $52,597 |
| Married Families | 47.0% | 39.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 4.3 | 4.8 |
Population Comparison: Dublin vs Franklin
- In Dublin, the population is higher at 72,060, compared to 24,128 in Franklin.
- The median age in Franklin is higher at 40.9 years, compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039 compared to $52,597 in Franklin.
- A higher percentage of married families is found in Dublin at 47.0% compared to 39.0% in Franklin.
- The poverty level is higher in Franklin at 13%, compared to 5% in Dublin.
- Franklin has a higher unemployment rate at 4.8% compared to 4.3% in Dublin.
Demographics
Demographics Dublin vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Franklin |
|---|---|---|
| Black | 4 | 9 |
| White | 23 | 81 |
| Asian | 53 | 1 |
| Hispanic | 10 | 5 |
| Two or More Races | 9 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Dublin vs Franklin
- In Franklin, the percentage of Black residents is higher at 9% compared to 4% in Dublin.
- The percentage of White residents is higher in Franklin at 81% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 1% in Franklin.
- The Hispanic community is larger in Dublin at 10% compared to 5% in Franklin.
- More residents identify as two or more races in Dublin at 9% compared to 3% in Franklin.
- The percentage of American Indian residents is the same in both Dublin and Franklin at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Franklin |
|---|---|---|
| Mental Health Not Good | 12.8% | 18.1% |
| Physical Health Not Good | 7.3% | 13.2% |
| Depression | 16.2% | 23.4% |
| Smoking | 7.4% | 19.9% |
| Binge Drinking | 16.8% | 16.2% |
| Obesity | 23.6% | 37.7% |
| Disability Percentage | 6.0% | 17.0% |
Health Statistics Comparison: Dublin vs Franklin
- In Franklin, a higher percentage report poor mental health at 18.1% compared to 12.8% in Dublin.
- Higher depression rates are seen in Franklin at 23.4% versus 16.2% in Dublin.
- Franklin has a higher smoking rate at 19.9% compared to 7.4% in Dublin.
- Binge drinking is more common in Dublin at 16.8% compared to 16.2% in Franklin.
- Franklin has higher obesity rates at 37.7% compared to 23.6% in Dublin.
- There is a higher percentage of disabled individuals in Franklin 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 | Dublin | Franklin |
|---|---|---|
| No Schooling | 0.6% (461) | 1.6% (394) |
| High School Diploma | 5.9% (4,230) | 16.4% (3,969) |
| Less than High School | 4.3% (3,081) | 23.7% (5,721) |
| Bachelor's Degree and Higher | 46.5% (33,513) | 11.1% (2,688) |
Education Levels Comparison: Dublin vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 1.6% compared to 0.6% in Dublin.
- In Franklin, the rate of residents with high school diplomas is higher at 16.4% compared to 5.9% in Dublin.
- The percentage of residents with less than a high school education is higher in Franklin at 23.7%, 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 11.1% in Franklin.
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.