Demographics details for Dublin, OH vs Bay minette, AL
Population Overview
Compare main population characteristics in Dublin, OH vs Bay minette, AL.
| Data | Dublin | Bay minette |
|---|---|---|
| Population | 48,998 | 8,277 |
| Median Age | 41.0 years | 35.6 years |
| Median Income | $158,363 | $36,899 |
| Married Families | 54.0% | 31.0% |
| Poverty Level | 4% | 20% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Dublin vs Bay minette
- In Dublin, the population is higher at 48,998, compared to 8,277 in Bay minette.
- Residents in Dublin have a higher median age of 41.0 years compared to 35.6 years in Bay minette.
- Dublin has a higher median income of $158,363 compared to $36,899 in Bay minette.
- A higher percentage of married families is found in Dublin at 54.0% compared to 31.0% in Bay minette.
- The poverty level is higher in Bay minette at 20%, compared to 4% in Dublin.
- The unemployment rate in Dublin is higher at 4.3%, compared to 3.5% in Bay minette.
Demographics
Demographics Dublin vs Bay minette provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Bay minette |
|---|---|---|
| Black | 2 | 39 |
| White | 71 | 52 |
| Asian | 19 | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Dublin vs Bay minette
- In Bay minette, the percentage of Black residents is higher at 39% compared to 2% in Dublin.
- Dublin has a higher percentage of White residents at 71% compared to 52% in Bay minette.
- The Asian population is larger in Dublin at 19% compared to 0% in Bay minette.
- The percentage of Hispanic residents is the same in both Dublin and Bay minette at 4%.
- Both Dublin and Bay minette have the same percentage of residents identifying as two or more races at 4%.
- In Bay minette, the percentage of American Indian residents is higher at 1%, compared to 0% in Dublin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Bay minette |
|---|---|---|
| Mental Health Not Good | 13.0% | 19.1% |
| Physical Health Not Good | 7.1% | 13.1% |
| Depression | 20.5% | 22.6% |
| Smoking | 9.5% | 19.3% |
| Binge Drinking | 19.6% | 16.1% |
| Obesity | 27.8% | 42.0% |
| Disability Percentage | 6.0% | 13.0% |
Health Statistics Comparison: Dublin vs Bay minette
- In Bay minette, a higher percentage report poor mental health at 19.1% compared to 13.0% in Dublin.
- Higher depression rates are seen in Bay minette at 22.6% versus 20.5% in Dublin.
- Bay minette has a higher smoking rate at 19.3% compared to 9.5% in Dublin.
- Binge drinking is more common in Dublin at 19.6% compared to 16.1% in Bay minette.
- Bay minette has higher obesity rates at 42.0% compared to 27.8% in Dublin.
- There is a higher percentage of disabled individuals in Bay minette at 13.0% 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 | Bay minette |
|---|---|---|
| No Schooling | 0.2% (112) | 0.8% (68) |
| High School Diploma | 5.1% (2,523) | 20.4% (1,685) |
| Less than High School | 2.8% (1,373) | 19.6% (1,625) |
| Bachelor's Degree and Higher | 50.0% (24,494) | 6.2% (516) |
Education Levels Comparison: Dublin vs Bay minette
- In Bay minette, a larger percentage of residents lack formal schooling at 0.8% compared to 0.2% in Dublin.
- In Bay minette, the rate of residents with high school diplomas is higher at 20.4% compared to 5.1% in Dublin.
- The percentage of residents with less than a high school education is higher in Bay minette at 19.6%, compared to 2.8% in Dublin.
- A higher percentage of residents in Dublin hold a bachelor's degree or higher at 50.0% compared to 6.2% in Bay minette.
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.