Demographics details for Waipahu, HI vs Inglewood, CA
Population Overview
Compare main population characteristics in Waipahu, HI vs Inglewood, CA.
| Data | Waipahu | Inglewood |
|---|---|---|
| Population | 39,873 | 103,621 |
| Median Age | 39.6 years | 37.3 years |
| Median Income | $87,961 | $67,563 |
| Married Families | 38.0% | 30.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 4.6 | 6.8 |
Population Comparison: Waipahu vs Inglewood
- The population in Inglewood is higher at 103,621, compared to 39,873 in Waipahu.
- Residents in Waipahu have a higher median age of 39.6 years compared to 37.3 years in Inglewood.
- Waipahu has a higher median income of $87,961 compared to $67,563 in Inglewood.
- A higher percentage of married families is found in Waipahu at 38.0% compared to 30.0% in Inglewood.
- The poverty level is higher in Inglewood at 18%, compared to 10% in Waipahu.
- Inglewood has a higher unemployment rate at 6.8% compared to 4.6% in Waipahu.
Demographics
Demographics Waipahu vs Inglewood provide insight into the diversity of the communities to compare.
| Demographic | Waipahu | Inglewood |
|---|---|---|
| Black | 1 | 41 |
| White | 11 | 16 |
| Asian | 67 | 3 |
| Hispanic | 6 | 51 |
| Two or More Races | 15 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waipahu vs Inglewood
- In Inglewood, the percentage of Black residents is higher at 41% compared to 1% in Waipahu.
- The percentage of White residents is higher in Inglewood at 16% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 3% in Inglewood.
- Inglewood has a higher percentage of Hispanic residents at 51%, compared to 6% in Waipahu.
- More residents identify as two or more races in Waipahu at 15% compared to 14% in Inglewood.
- In Inglewood, the percentage of American Indian residents is higher at 1%, compared to 0% in Waipahu.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waipahu | Inglewood |
|---|---|---|
| Mental Health Not Good | 12.7% | 17.0% |
| Physical Health Not Good | 8.3% | 13.2% |
| Depression | 10.2% | 15.4% |
| Smoking | 12.9% | 13.2% |
| Binge Drinking | 14.8% | 13.8% |
| Obesity | 22.4% | 35.7% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Waipahu vs Inglewood
- In Inglewood, a higher percentage report poor mental health at 17.0% compared to 12.7% in Waipahu.
- Higher depression rates are seen in Inglewood at 15.4% versus 10.2% in Waipahu.
- Inglewood has a higher smoking rate at 13.2% compared to 12.9% in Waipahu.
- Binge drinking is more common in Waipahu at 14.8% compared to 13.8% in Inglewood.
- Inglewood has higher obesity rates at 35.7% compared to 22.4% in Waipahu.
- Disability percentages are higher in Waipahu at 14.0% compared to 13.0% in Inglewood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waipahu | Inglewood |
|---|---|---|
| No Schooling | 1.8% (729) | 3.5% (3,619) |
| High School Diploma | 22.1% (8,831) | 14.8% (15,291) |
| Less than High School | 11.0% (4,392) | 29.9% (30,999) |
| Bachelor's Degree and Higher | 13.0% (5,195) | 16.3% (16,899) |
Education Levels Comparison: Waipahu vs Inglewood
- In Inglewood, a larger percentage of residents lack formal schooling at 3.5% compared to 1.8% in Waipahu.
- A higher percentage of residents in Waipahu hold a high school diploma at 22.1% compared to 14.8% in Inglewood.
- The percentage of residents with less than a high school education is higher in Inglewood at 29.9%, compared to 11.0% in Waipahu.
- In Inglewood, a larger share of residents have a bachelor's degree or higher at 16.3% 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.