Demographics details for Waipahu, HI vs Dayton, PA
Population Overview
Compare main population characteristics in Waipahu, HI vs Dayton, PA.
| Data | Waipahu | Dayton |
|---|---|---|
| Population | 39,873 | 544 |
| Median Age | 39.6 years | 44.7 years |
| Median Income | $87,961 | $53,750 |
| Married Families | 38.0% | 50.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 4.6 | 4.5 |
Population Comparison: Waipahu vs Dayton
- In Waipahu, the population is higher at 39,873, compared to 544 in Dayton.
- The median age in Dayton is higher at 44.7 years, compared to 39.6 years in Waipahu.
- Waipahu has a higher median income of $87,961 compared to $53,750 in Dayton.
- In Dayton, the percentage of married families is higher at 50.0%, compared to 38.0% in Waipahu.
- Waipahu has a higher poverty level at 10% compared to 7% in Dayton.
- The unemployment rate in Waipahu is higher at 4.6%, compared to 4.5% in Dayton.
Demographics
Demographics Waipahu vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Waipahu | Dayton |
|---|---|---|
| Black | 1 | Data is updating |
| White | 11 | 96 |
| Asian | 67 | Data is updating |
| Hispanic | 6 | Data is updating |
| Two or More Races | 15 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waipahu vs Dayton
- A higher percentage of Black residents are in Waipahu at 1% compared to 0% in Dayton.
- The percentage of White residents is higher in Dayton at 96% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 0% in Dayton.
- The Hispanic community is larger in Waipahu at 6% compared to 0% in Dayton.
- More residents identify as two or more races in Waipahu at 15% compared to 4% in Dayton.
- The percentage of American Indian residents is the same in both Waipahu and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waipahu | Dayton |
|---|---|---|
| Mental Health Not Good | 12.7% | 18.1% |
| Physical Health Not Good | 8.3% | 13.0% |
| Depression | 10.2% | 24.0% |
| Smoking | 12.9% | 22.4% |
| Binge Drinking | 14.8% | 18.3% |
| Obesity | 22.4% | 36.0% |
| Disability Percentage | 14.0% | 22.0% |
Health Statistics Comparison: Waipahu vs Dayton
- In Dayton, a higher percentage report poor mental health at 18.1% compared to 12.7% in Waipahu.
- Higher depression rates are seen in Dayton at 24.0% versus 10.2% in Waipahu.
- Dayton has a higher smoking rate at 22.4% compared to 12.9% in Waipahu.
- More residents engage in binge drinking in Dayton at 18.3% compared to 14.8% in Waipahu.
- Dayton has higher obesity rates at 36.0% compared to 22.4% in Waipahu.
- There is a higher percentage of disabled individuals in Dayton at 22.0% compared to 14.0% in Waipahu.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waipahu | Dayton |
|---|---|---|
| No Schooling | 1.8% (729) | 0.6% (3) |
| High School Diploma | 22.1% (8,831) | 35.1% (191) |
| Less than High School | 11.0% (4,392) | 15.8% (86) |
| Bachelor's Degree and Higher | 13.0% (5,195) | 9.2% (50) |
Education Levels Comparison: Waipahu vs Dayton
- A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 0.6% in Dayton.
- In Dayton, the rate of residents with high school diplomas is higher at 35.1% compared to 22.1% in Waipahu.
- The percentage of residents with less than a high school education is higher in Dayton at 15.8%, compared to 11.0% in Waipahu.
- A higher percentage of residents in Waipahu hold a bachelor's degree or higher at 13.0% compared to 9.2% in Dayton.
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.