Demographics details for Waipahu, HI vs Tipp city, OH
Population Overview
Compare main population characteristics in Waipahu, HI vs Tipp city, OH.
| Data | Waipahu | Tipp city |
|---|---|---|
| Population | 39,873 | 10,424 |
| Median Age | 39.6 years | 40.1 years |
| Median Income | $87,961 | $74,178 |
| Married Families | 38.0% | 46.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.6 | 3.2 |
Population Comparison: Waipahu vs Tipp city
- In Waipahu, the population is higher at 39,873, compared to 10,424 in Tipp city.
- The median age in Tipp city is higher at 40.1 years, compared to 39.6 years in Waipahu.
- Waipahu has a higher median income of $87,961 compared to $74,178 in Tipp city.
- In Tipp city, the percentage of married families is higher at 46.0%, compared to 38.0% in Waipahu.
- Waipahu has a higher poverty level at 10% compared to 5% in Tipp city.
- The unemployment rate in Waipahu is higher at 4.6%, compared to 3.2% in Tipp city.
Demographics
Demographics Waipahu vs Tipp city provide insight into the diversity of the communities to compare.
| Demographic | Waipahu | Tipp city |
|---|---|---|
| Black | 1 | 1 |
| White | 11 | 92 |
| Asian | 67 | 2 |
| Hispanic | 6 | 1 |
| Two or More Races | 15 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waipahu vs Tipp city
- The percentage of Black residents is the same in both Waipahu and Tipp city at 1%.
- The percentage of White residents is higher in Tipp city at 92% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 2% in Tipp city.
- The Hispanic community is larger in Waipahu at 6% compared to 1% in Tipp city.
- More residents identify as two or more races in Waipahu at 15% compared to 4% in Tipp city.
- The percentage of American Indian residents is the same in both Waipahu and Tipp city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waipahu | Tipp city |
|---|---|---|
| Mental Health Not Good | 12.7% | 15.4% |
| Physical Health Not Good | 8.3% | 9.5% |
| Depression | 10.2% | 21.5% |
| Smoking | 12.9% | 15.4% |
| Binge Drinking | 14.8% | 19.2% |
| Obesity | 22.4% | 36.7% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Waipahu vs Tipp city
- In Tipp city, a higher percentage report poor mental health at 15.4% compared to 12.7% in Waipahu.
- Higher depression rates are seen in Tipp city at 21.5% versus 10.2% in Waipahu.
- Tipp city has a higher smoking rate at 15.4% compared to 12.9% in Waipahu.
- More residents engage in binge drinking in Tipp city at 19.2% compared to 14.8% in Waipahu.
- Tipp city has higher obesity rates at 36.7% compared to 22.4% in Waipahu.
- Disability percentages are higher in Waipahu at 14.0% compared to 11.0% in Tipp city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waipahu | Tipp city |
|---|---|---|
| No Schooling | 1.8% (729) | 0.6% (61) |
| High School Diploma | 22.1% (8,831) | 15.5% (1,616) |
| Less than High School | 11.0% (4,392) | 6.0% (624) |
| Bachelor's Degree and Higher | 13.0% (5,195) | 23.6% (2,455) |
Education Levels Comparison: Waipahu vs Tipp city
- A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 0.6% in Tipp city.
- A higher percentage of residents in Waipahu hold a high school diploma at 22.1% compared to 15.5% in Tipp city.
- More residents in Waipahu have less than a high school education at 11.0% compared to 6.0% in Tipp city.
- In Tipp city, a larger share of residents have a bachelor's degree or higher at 23.6% compared to 13.0% in Waipahu.
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.