Demographics details for Dayton, OH vs Waipahu, HI
Population Overview
Compare main population characteristics in Dayton, OH vs Waipahu, HI.
| Data | Dayton | Waipahu |
|---|---|---|
| Population | 135,944 | 39,873 |
| Median Age | 34.0 years | 39.6 years |
| Median Income | $41,443 | $87,961 |
| Married Families | 21.0% | 38.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 6.8 | 4.6 |
Population Comparison: Dayton vs Waipahu
- In Dayton, the population is higher at 135,944, compared to 39,873 in Waipahu.
- The median age in Waipahu is higher at 39.6 years, compared to 34.0 years in Dayton.
- Waipahu has a higher median income of $87,961, compared to $41,443 in Dayton.
- In Waipahu, the percentage of married families is higher at 38.0%, compared to 21.0% in Dayton.
- Dayton has a higher poverty level at 18% compared to 10% in Waipahu.
- The unemployment rate in Dayton is higher at 6.8%, compared to 4.6% in Waipahu.
Demographics
Demographics Dayton vs Waipahu provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Waipahu |
|---|---|---|
| Black | 38 | 1 |
| White | 50 | 11 |
| Asian | 1 | 67 |
| Hispanic | 5 | 6 |
| Two or More Races | 6 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Waipahu
- A higher percentage of Black residents are in Dayton at 38% compared to 1% in Waipahu.
- Dayton has a higher percentage of White residents at 50% compared to 11% in Waipahu.
- In Waipahu, the Asian population stands at 67%, greater than 1% in Dayton.
- Waipahu has a higher percentage of Hispanic residents at 6%, compared to 5% in Dayton.
- The percentage of residents identifying as two or more races is higher in Waipahu at 15%, compared to 6% in Dayton.
- The percentage of American Indian residents is the same in both Dayton and Waipahu at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Waipahu |
|---|---|---|
| Mental Health Not Good | 21.9% | 12.7% |
| Physical Health Not Good | 16.5% | 8.3% |
| Depression | 26.5% | 10.2% |
| Smoking | 26.0% | 12.9% |
| Binge Drinking | 15.2% | 14.8% |
| Obesity | 47.6% | 22.4% |
| Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Dayton vs Waipahu
- More residents in Dayton report poor mental health at 21.9% compared to 12.7% in Waipahu.
- Depression is more prevalent in Dayton at 26.5% compared to 10.2% in Waipahu.
- Smoking is more prevalent in Dayton at 26.0% compared to 12.9% in Waipahu.
- Binge drinking is more common in Dayton at 15.2% compared to 14.8% in Waipahu.
- Obesity rates are higher in Dayton at 47.6% compared to 22.4% in Waipahu.
- Disability percentages are higher in Dayton at 18.0% 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 | Dayton | Waipahu |
|---|---|---|
| No Schooling | 0.9% (1,157) | 1.8% (729) |
| High School Diploma | 16.3% (22,101) | 22.1% (8,831) |
| Less than High School | 13.9% (18,900) | 11.0% (4,392) |
| Bachelor's Degree and Higher | 12.7% (17,260) | 13.0% (5,195) |
Education Levels Comparison: Dayton vs Waipahu
- In Waipahu, a larger percentage of residents lack formal schooling at 1.8% compared to 0.9% in Dayton.
- In Waipahu, the rate of residents with high school diplomas is higher at 22.1% compared to 16.3% in Dayton.
- More residents in Dayton have less than a high school education at 13.9% compared to 11.0% in Waipahu.
- In Waipahu, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 12.7% 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.