Demographics details for Dublin, GA vs Coalinga, CA
Population Overview
Compare main population characteristics in Dublin, GA vs Coalinga, CA.
| Data | Dublin | Coalinga |
|---|---|---|
| Population | 15,946 | 17,024 |
| Median Age | 34.9 years | 35.0 years |
| Median Income | $37,734 | $68,976 |
| Married Families | 25.0% | 31.0% |
| Poverty Level | 20% | 15% |
| Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Dublin vs Coalinga
- The population in Coalinga is higher at 17,024, compared to 15,946 in Dublin.
- The median age in Coalinga is higher at 35.0 years, compared to 34.9 years in Dublin.
- Coalinga has a higher median income of $68,976, compared to $37,734 in Dublin.
- In Coalinga, the percentage of married families is higher at 31.0%, compared to 25.0% in Dublin.
- Dublin has a higher poverty level at 20% compared to 15% in Coalinga.
- Coalinga has a higher unemployment rate at 6.5% compared to 3.5% in Dublin.
Demographics
Demographics Dublin vs Coalinga provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Coalinga |
|---|---|---|
| Black | 66 | 4 |
| White | 29 | 9 |
| Asian | 3 | 2 |
| Hispanic | 1 | 65 |
| Two or More Races | 1 | 18 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Dublin vs Coalinga
- A higher percentage of Black residents are in Dublin at 66% compared to 4% in Coalinga.
- Dublin has a higher percentage of White residents at 29% compared to 9% in Coalinga.
- The Asian population is larger in Dublin at 3% compared to 2% in Coalinga.
- Coalinga has a higher percentage of Hispanic residents at 65%, compared to 1% in Dublin.
- The percentage of residents identifying as two or more races is higher in Coalinga at 18%, compared to 1% in Dublin.
- In Coalinga, the percentage of American Indian residents is higher at 2%, compared to 0% in Dublin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Coalinga |
|---|---|---|
| Mental Health Not Good | 19.8% | 16.9% |
| Physical Health Not Good | 15.4% | 13.9% |
| Depression | 22.1% | 16.4% |
| Smoking | 22.1% | 17.2% |
| Binge Drinking | 12.3% | 15.9% |
| Obesity | 43.4% | 39.1% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Dublin vs Coalinga
- More residents in Dublin report poor mental health at 19.8% compared to 16.9% in Coalinga.
- Depression is more prevalent in Dublin at 22.1% compared to 16.4% in Coalinga.
- Smoking is more prevalent in Dublin at 22.1% compared to 17.2% in Coalinga.
- More residents engage in binge drinking in Coalinga at 15.9% compared to 12.3% in Dublin.
- Obesity rates are higher in Dublin at 43.4% compared to 39.1% in Coalinga.
- Disability percentages are higher in Dublin at 14.0% compared to 13.0% in Coalinga.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dublin | Coalinga |
|---|---|---|
| No Schooling | 1.0% (165) | 3.2% (537) |
| High School Diploma | 24.2% (3,864) | 13.8% (2,349) |
| Less than High School | 12.8% (2,046) | 39.2% (6,672) |
| Bachelor's Degree and Higher | 13.6% (2,168) | 8.1% (1,380) |
Education Levels Comparison: Dublin vs Coalinga
- In Coalinga, a larger percentage of residents lack formal schooling at 3.2% compared to 1.0% in Dublin.
- A higher percentage of residents in Dublin hold a high school diploma at 24.2% compared to 13.8% in Coalinga.
- The percentage of residents with less than a high school education is higher in Coalinga at 39.2%, compared to 12.8% in Dublin.
- A higher percentage of residents in Dublin hold a bachelor's degree or higher at 13.6% compared to 8.1% in Coalinga.
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.