Demographics details for Dublin, OH vs West babylon, NY
Population Overview
Compare main population characteristics in Dublin, OH vs West babylon, NY.
| Data | Dublin | West babylon |
|---|---|---|
| Population | 48,998 | 42,783 |
| Median Age | 41.0 years | 43.1 years |
| Median Income | $158,363 | $121,266 |
| Married Families | 54.0% | 38.0% |
| Poverty Level | 4% | Data is updating |
| Unemployment Rate | 4.3 | 4.5 |
Population Comparison: Dublin vs West babylon
- In Dublin, the population is higher at 48,998, compared to 42,783 in West babylon.
- The median age in West babylon is higher at 43.1 years, compared to 41.0 years in Dublin.
- Dublin has a higher median income of $158,363 compared to $121,266 in West babylon.
- A higher percentage of married families is found in Dublin at 54.0% compared to 38.0% in West babylon.
- Dublin has a higher poverty level at 4% compared to 0% in West babylon.
- West babylon has a higher unemployment rate at 4.5% compared to 4.3% in Dublin.
Demographics
Demographics Dublin vs West babylon provide insight into the diversity of the communities to compare.
| Demographic | Dublin | West babylon |
|---|---|---|
| Black | 2 | 13 |
| White | 71 | 62 |
| Asian | 19 | 2 |
| Hispanic | 4 | 17 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dublin vs West babylon
- In West babylon, the percentage of Black residents is higher at 13% compared to 2% in Dublin.
- Dublin has a higher percentage of White residents at 71% compared to 62% in West babylon.
- The Asian population is larger in Dublin at 19% compared to 2% in West babylon.
- West babylon has a higher percentage of Hispanic residents at 17%, compared to 4% in Dublin.
- The percentage of residents identifying as two or more races is higher in West babylon at 6%, compared to 4% in Dublin.
- The percentage of American Indian residents is the same in both Dublin and West babylon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | West babylon |
|---|---|---|
| Mental Health Not Good | 13.0% | 14.8% |
| Physical Health Not Good | 7.1% | 9.0% |
| Depression | 20.5% | 19.8% |
| Smoking | 9.5% | 14.0% |
| Binge Drinking | 19.6% | 16.7% |
| Obesity | 27.8% | 30.1% |
| Disability Percentage | 6.0% | 10.0% |
Health Statistics Comparison: Dublin vs West babylon
- In West babylon, a higher percentage report poor mental health at 14.8% compared to 13.0% in Dublin.
- Depression is more prevalent in Dublin at 20.5% compared to 19.8% in West babylon.
- West babylon has a higher smoking rate at 14.0% compared to 9.5% in Dublin.
- Binge drinking is more common in Dublin at 19.6% compared to 16.7% in West babylon.
- West babylon has higher obesity rates at 30.1% compared to 27.8% in Dublin.
- There is a higher percentage of disabled individuals in West babylon at 10.0% 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 | West babylon |
|---|---|---|
| No Schooling | 0.2% (112) | 2.9% (1,245) |
| High School Diploma | 5.1% (2,523) | 21.2% (9,083) |
| Less than High School | 2.8% (1,373) | 13.8% (5,912) |
| Bachelor's Degree and Higher | 50.0% (24,494) | 22.7% (9,691) |
Education Levels Comparison: Dublin vs West babylon
- In West babylon, a larger percentage of residents lack formal schooling at 2.9% compared to 0.2% in Dublin.
- In West babylon, the rate of residents with high school diplomas is higher at 21.2% compared to 5.1% in Dublin.
- The percentage of residents with less than a high school education is higher in West babylon at 13.8%, 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 22.7% in West babylon.
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.