Demographics details for Dublin, OH vs Hanapepe, HI
Population Overview
Compare main population characteristics in Dublin, OH vs Hanapepe, HI.
| Data | Dublin | Hanapepe |
|---|---|---|
| Population | 48,998 | 2,242 |
| Median Age | 41.0 years | 43.1 years |
| Median Income | $158,363 | $88,385 |
| Married Families | 54.0% | 43.0% |
| Poverty Level | 4% | 8% |
| Unemployment Rate | 4.3 | 2.4 |
Population Comparison: Dublin vs Hanapepe
- In Dublin, the population is higher at 48,998, compared to 2,242 in Hanapepe.
- The median age in Hanapepe is higher at 43.1 years, compared to 41.0 years in Dublin.
- Dublin has a higher median income of $158,363 compared to $88,385 in Hanapepe.
- A higher percentage of married families is found in Dublin at 54.0% compared to 43.0% in Hanapepe.
- The poverty level is higher in Hanapepe at 8%, compared to 4% in Dublin.
- The unemployment rate in Dublin is higher at 4.3%, compared to 2.4% in Hanapepe.
Demographics
Demographics Dublin vs Hanapepe provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Hanapepe |
|---|---|---|
| Black | 2 | Data is updating |
| White | 71 | 28 |
| Asian | 19 | 49 |
| Hispanic | 4 | 4 |
| Two or More Races | 4 | 19 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dublin vs Hanapepe
- A higher percentage of Black residents are in Dublin at 2% compared to 0% in Hanapepe.
- Dublin has a higher percentage of White residents at 71% compared to 28% in Hanapepe.
- In Hanapepe, the Asian population stands at 49%, greater than 19% in Dublin.
- The percentage of Hispanic residents is the same in both Dublin and Hanapepe at 4%.
- The percentage of residents identifying as two or more races is higher in Hanapepe at 19%, compared to 4% in Dublin.
- The percentage of American Indian residents is the same in both Dublin and Hanapepe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Hanapepe |
|---|---|---|
| Mental Health Not Good | 13.0% | 14.9% |
| Physical Health Not Good | 7.1% | 9.9% |
| Depression | 20.5% | 13.8% |
| Smoking | 9.5% | 15.8% |
| Binge Drinking | 19.6% | 17.2% |
| Obesity | 27.8% | 23.2% |
| Disability Percentage | 6.0% | 13.0% |
Health Statistics Comparison: Dublin vs Hanapepe
- In Hanapepe, a higher percentage report poor mental health at 14.9% compared to 13.0% in Dublin.
- Depression is more prevalent in Dublin at 20.5% compared to 13.8% in Hanapepe.
- Hanapepe has a higher smoking rate at 15.8% compared to 9.5% in Dublin.
- Binge drinking is more common in Dublin at 19.6% compared to 17.2% in Hanapepe.
- Obesity rates are higher in Dublin at 27.8% compared to 23.2% in Hanapepe.
- There is a higher percentage of disabled individuals in Hanapepe 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 | Hanapepe |
|---|---|---|
| No Schooling | 0.2% (112) | 0.0% (Data is updating) |
| High School Diploma | 5.1% (2,523) | 42.2% (946) |
| Less than High School | 2.8% (1,373) | 7.8% (174) |
| Bachelor's Degree and Higher | 50.0% (24,494) | 12.8% (286) |
Education Levels Comparison: Dublin vs Hanapepe
- A higher percentage of residents in Dublin have no formal schooling at 0.2% compared to 0.0% in Hanapepe.
- In Hanapepe, the rate of residents with high school diplomas is higher at 42.2% compared to 5.1% in Dublin.
- The percentage of residents with less than a high school education is higher in Hanapepe at 7.8%, 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 12.8% in Hanapepe.
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.