Demographics details for Golden city, MO vs Dublin, GA
Population Overview
Compare main population characteristics in Golden city, MO vs Dublin, GA.
| Data | Golden city | Dublin |
|---|---|---|
| Population | 654 | 15,946 |
| Median Age | 55.0 years | 34.9 years |
| Median Income | $37,679 | $37,734 |
| Married Families | 37.0% | 25.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Golden city vs Dublin
- The population in Dublin is higher at 15,946, compared to 654 in Golden city.
- Residents in Golden city have a higher median age of 55.0 years compared to 34.9 years in Dublin.
- Dublin has a higher median income of $37,734, compared to $37,679 in Golden city.
- A higher percentage of married families is found in Golden city at 37.0% compared to 25.0% in Dublin.
- The poverty level is higher in Dublin at 20%, compared to 10% in Golden city.
- The unemployment rate is the same in both Golden city and Dublin at 3.5%.
Demographics
Demographics Golden city vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Golden city | Dublin |
|---|---|---|
| Black | Data is updating | 66 |
| White | 89 | 29 |
| Asian | Data is updating | 3 |
| Hispanic | 3 | 1 |
| Two or More Races | 6 | 1 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Golden city vs Dublin
- In Dublin, the percentage of Black residents is higher at 66% compared to 0% in Golden city.
- Golden city has a higher percentage of White residents at 89% compared to 29% in Dublin.
- In Dublin, the Asian population stands at 3%, greater than 0% in Golden city.
- The Hispanic community is larger in Golden city at 3% compared to 1% in Dublin.
- More residents identify as two or more races in Golden city at 6% compared to 1% in Dublin.
- A greater percentage of American Indian residents live in Golden city at 2% compared to 0% in Dublin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Golden city | Dublin |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.8% |
| Physical Health Not Good | 13.3% | 15.4% |
| Depression | 25.1% | 22.1% |
| Smoking | 22.9% | 22.1% |
| Binge Drinking | 18.0% | 12.3% |
| Obesity | 40.9% | 43.4% |
| Disability Percentage | 24.0% | 14.0% |
Health Statistics Comparison: Golden city vs Dublin
- In Dublin, a higher percentage report poor mental health at 19.8% compared to 18.3% in Golden city.
- Depression is more prevalent in Golden city at 25.1% compared to 22.1% in Dublin.
- Smoking is more prevalent in Golden city at 22.9% compared to 22.1% in Dublin.
- Binge drinking is more common in Golden city at 18.0% compared to 12.3% in Dublin.
- Dublin has higher obesity rates at 43.4% compared to 40.9% in Golden city.
- Disability percentages are higher in Golden city at 24.0% compared to 14.0% in Dublin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Golden city | Dublin |
|---|---|---|
| No Schooling | 2.6% (17) | 1.0% (165) |
| High School Diploma | 30.6% (200) | 24.2% (3,864) |
| Less than High School | 17.6% (115) | 12.8% (2,046) |
| Bachelor's Degree and Higher | 12.8% (84) | 13.6% (2,168) |
Education Levels Comparison: Golden city vs Dublin
- A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 1.0% in Dublin.
- A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 24.2% in Dublin.
- More residents in Golden city have less than a high school education at 17.6% compared to 12.8% in Dublin.
- In Dublin, a larger share of residents have a bachelor's degree or higher at 13.6% compared to 12.8% in Golden city.
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.