Demographics details for Dublin, GA vs Boyle, MS
Population Overview
Compare main population characteristics in Dublin, GA vs Boyle, MS.
| Data | Dublin | Boyle |
|---|---|---|
| Population | 15,946 | 499 |
| Median Age | 34.9 years | 36.7 years |
| Median Income | $37,734 | $33,750 |
| Married Families | 25.0% | 25.0% |
| Poverty Level | 20% | 20% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Dublin vs Boyle
- In Dublin, the population is higher at 15,946, compared to 499 in Boyle.
- The median age in Boyle is higher at 36.7 years, compared to 34.9 years in Dublin.
- Dublin has a higher median income of $37,734 compared to $33,750 in Boyle.
- The percentage of married families is the same in both Dublin and Boyle at 25.0%.
- The poverty level is identical in both Dublin and Boyle at 20%.
- Boyle has a higher unemployment rate at 4.5% compared to 3.5% in Dublin.
Demographics
Demographics Dublin vs Boyle provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Boyle |
|---|---|---|
| Black | 66 | 50 |
| White | 29 | 50 |
| Asian | 3 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dublin vs Boyle
- A higher percentage of Black residents are in Dublin at 66% compared to 50% in Boyle.
- The percentage of White residents is higher in Boyle at 50% compared to 29% in Dublin.
- The Asian population is larger in Dublin at 3% compared to 0% in Boyle.
- The Hispanic community is larger in Dublin at 1% compared to 0% in Boyle.
- More residents identify as two or more races in Dublin at 1% compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Dublin and Boyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Boyle |
|---|---|---|
| Mental Health Not Good | 19.8% | 17.4% |
| Physical Health Not Good | 15.4% | 13.3% |
| Depression | 22.1% | 20.4% |
| Smoking | 22.1% | 20.5% |
| Binge Drinking | 12.3% | 13.0% |
| Obesity | 43.4% | 41.3% |
| Disability Percentage | 14.0% | 48.0% |
Health Statistics Comparison: Dublin vs Boyle
- More residents in Dublin report poor mental health at 19.8% compared to 17.4% in Boyle.
- Depression is more prevalent in Dublin at 22.1% compared to 20.4% in Boyle.
- Smoking is more prevalent in Dublin at 22.1% compared to 20.5% in Boyle.
- More residents engage in binge drinking in Boyle at 13.0% compared to 12.3% in Dublin.
- Obesity rates are higher in Dublin at 43.4% compared to 41.3% in Boyle.
- There is a higher percentage of disabled individuals in Boyle at 48.0% 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 | Dublin | Boyle |
|---|---|---|
| No Schooling | 1.0% (165) | 0.0% (Data is updating) |
| High School Diploma | 24.2% (3,864) | 16.2% (81) |
| Less than High School | 12.8% (2,046) | 17.0% (85) |
| Bachelor's Degree and Higher | 13.6% (2,168) | 41.7% (208) |
Education Levels Comparison: Dublin vs Boyle
- A higher percentage of residents in Dublin have no formal schooling at 1.0% compared to 0.0% in Boyle.
- A higher percentage of residents in Dublin hold a high school diploma at 24.2% compared to 16.2% in Boyle.
- The percentage of residents with less than a high school education is higher in Boyle at 17.0%, compared to 12.8% in Dublin.
- In Boyle, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 13.6% in Dublin.
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.