Demographics details for Forest park, GA vs Dublin, CA
Population Overview
Compare main population characteristics in Forest park, GA vs Dublin, CA.
| Data | Forest park | Dublin |
|---|---|---|
| Population | 19,400 | 72,060 |
| Median Age | 31.3 years | 37.1 years |
| Median Income | $41,837 | $191,039 |
| Married Families | 23.0% | 47.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Forest park vs Dublin
- The population in Dublin is higher at 72,060, compared to 19,400 in Forest park.
- The median age in Dublin is higher at 37.1 years, compared to 31.3 years in Forest park.
- Dublin has a higher median income of $191,039, compared to $41,837 in Forest park.
- In Dublin, the percentage of married families is higher at 47.0%, compared to 23.0% in Forest park.
- Forest park has a higher poverty level at 10% compared to 5% in Dublin.
- The unemployment rate in Forest park is higher at 4.5%, compared to 4.3% in Dublin.
Demographics
Demographics Forest park vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Forest park | Dublin |
|---|---|---|
| Black | 55 | 4 |
| White | 8 | 23 |
| Asian | 6 | 53 |
| Hispanic | 23 | 10 |
| Two or More Races | 8 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Forest park vs Dublin
- A higher percentage of Black residents are in Forest park at 55% compared to 4% in Dublin.
- The percentage of White residents is higher in Dublin at 23% compared to 8% in Forest park.
- In Dublin, the Asian population stands at 53%, greater than 6% in Forest park.
- The Hispanic community is larger in Forest park at 23% compared to 10% in Dublin.
- The percentage of residents identifying as two or more races is higher in Dublin at 9%, compared to 8% in Forest park.
- In Dublin, the percentage of American Indian residents is higher at 1%, compared to 0% in Forest park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest park | Dublin |
|---|---|---|
| Mental Health Not Good | 18.3% | 12.8% |
| Physical Health Not Good | 16.0% | 7.3% |
| Depression | 17.8% | 16.2% |
| Smoking | 22.7% | 7.4% |
| Binge Drinking | 13.3% | 16.8% |
| Obesity | 43.0% | 23.6% |
| Disability Percentage | 15.0% | 6.0% |
Health Statistics Comparison: Forest park vs Dublin
- More residents in Forest park report poor mental health at 18.3% compared to 12.8% in Dublin.
- Depression is more prevalent in Forest park at 17.8% compared to 16.2% in Dublin.
- Smoking is more prevalent in Forest park at 22.7% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Dublin at 16.8% compared to 13.3% in Forest park.
- Obesity rates are higher in Forest park at 43.0% compared to 23.6% in Dublin.
- Disability percentages are higher in Forest park at 15.0% 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 | Forest park | Dublin |
|---|---|---|
| No Schooling | 2.6% (504) | 0.6% (461) |
| High School Diploma | 18.4% (3,567) | 5.9% (4,230) |
| Less than High School | 21.7% (4,202) | 4.3% (3,081) |
| Bachelor's Degree and Higher | 6.4% (1,235) | 46.5% (33,513) |
Education Levels Comparison: Forest park vs Dublin
- A higher percentage of residents in Forest park have no formal schooling at 2.6% compared to 0.6% in Dublin.
- A higher percentage of residents in Forest park hold a high school diploma at 18.4% compared to 5.9% in Dublin.
- More residents in Forest park have less than a high school education at 21.7% compared to 4.3% in Dublin.
- In Dublin, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 6.4% in Forest park.
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.