Demographics details for Waipahu, HI vs Oakland park, FL
Population Overview
Compare main population characteristics in Waipahu, HI vs Oakland park, FL.
| Data | Waipahu | Oakland park |
|---|---|---|
| Population | 39,873 | 43,824 |
| Median Age | 39.6 years | 39.1 years |
| Median Income | $87,961 | $64,989 |
| Married Families | 38.0% | 30.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 4.6 | 3.1 |
Population Comparison: Waipahu vs Oakland park
- The population in Oakland park is higher at 43,824, compared to 39,873 in Waipahu.
- Residents in Waipahu have a higher median age of 39.6 years compared to 39.1 years in Oakland park.
- Waipahu has a higher median income of $87,961 compared to $64,989 in Oakland park.
- A higher percentage of married families is found in Waipahu at 38.0% compared to 30.0% in Oakland park.
- The poverty level is higher in Oakland park at 14%, compared to 10% in Waipahu.
- The unemployment rate in Waipahu is higher at 4.6%, compared to 3.1% in Oakland park.
Demographics
Demographics Waipahu vs Oakland park provide insight into the diversity of the communities to compare.
| Demographic | Waipahu | Oakland park |
|---|---|---|
| Black | 1 | 29 |
| White | 11 | 20 |
| Asian | 67 | 2 |
| Hispanic | 6 | 32 |
| Two or More Races | 15 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waipahu vs Oakland park
- In Oakland park, the percentage of Black residents is higher at 29% compared to 1% in Waipahu.
- The percentage of White residents is higher in Oakland park at 20% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 2% in Oakland park.
- Oakland park has a higher percentage of Hispanic residents at 32%, compared to 6% in Waipahu.
- The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 15% in Waipahu.
- The percentage of American Indian residents is the same in both Waipahu and Oakland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waipahu | Oakland park |
|---|---|---|
| Mental Health Not Good | 12.7% | 16.3% |
| Physical Health Not Good | 8.3% | 12.2% |
| Depression | 10.2% | 17.8% |
| Smoking | 12.9% | 20.1% |
| Binge Drinking | 14.8% | 15.0% |
| Obesity | 22.4% | 31.1% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Waipahu vs Oakland park
- In Oakland park, a higher percentage report poor mental health at 16.3% compared to 12.7% in Waipahu.
- Higher depression rates are seen in Oakland park at 17.8% versus 10.2% in Waipahu.
- Oakland park has a higher smoking rate at 20.1% compared to 12.9% in Waipahu.
- More residents engage in binge drinking in Oakland park at 15.0% compared to 14.8% in Waipahu.
- Oakland park has higher obesity rates at 31.1% compared to 22.4% in Waipahu.
- Disability percentages are higher in Waipahu at 14.0% compared to 11.0% in Oakland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waipahu | Oakland park |
|---|---|---|
| No Schooling | 1.8% (729) | 1.4% (596) |
| High School Diploma | 22.1% (8,831) | 19.8% (8,695) |
| Less than High School | 11.0% (4,392) | 16.2% (7,092) |
| Bachelor's Degree and Higher | 13.0% (5,195) | 20.7% (9,073) |
Education Levels Comparison: Waipahu vs Oakland park
- A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 1.4% in Oakland park.
- A higher percentage of residents in Waipahu hold a high school diploma at 22.1% compared to 19.8% in Oakland park.
- The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 11.0% in Waipahu.
- In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% 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.