Demographics details for Waipahu, HI vs Shasta lake, CA
Population Overview
Compare main population characteristics in Waipahu, HI vs Shasta lake, CA.
| Data | Waipahu | Shasta lake |
|---|---|---|
| Population | 39,873 | 10,335 |
| Median Age | 39.6 years | 38.8 years |
| Median Income | $87,961 | $54,490 |
| Married Families | 38.0% | 35.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.6 | 5.1 |
Population Comparison: Waipahu vs Shasta lake
- In Waipahu, the population is higher at 39,873, compared to 10,335 in Shasta lake.
- Residents in Waipahu have a higher median age of 39.6 years compared to 38.8 years in Shasta lake.
- Waipahu has a higher median income of $87,961 compared to $54,490 in Shasta lake.
- A higher percentage of married families is found in Waipahu at 38.0% compared to 35.0% in Shasta lake.
- The poverty level is higher in Shasta lake at 12%, compared to 10% in Waipahu.
- Shasta lake has a higher unemployment rate at 5.1% compared to 4.6% in Waipahu.
Demographics
Demographics Waipahu vs Shasta lake provide insight into the diversity of the communities to compare.
| Demographic | Waipahu | Shasta lake |
|---|---|---|
| Black | 1 | Data is updating |
| White | 11 | 74 |
| Asian | 67 | 1 |
| Hispanic | 6 | 12 |
| Two or More Races | 15 | 11 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Waipahu vs Shasta lake
- A higher percentage of Black residents are in Waipahu at 1% compared to 0% in Shasta lake.
- The percentage of White residents is higher in Shasta lake at 74% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 1% in Shasta lake.
- Shasta lake has a higher percentage of Hispanic residents at 12%, compared to 6% in Waipahu.
- More residents identify as two or more races in Waipahu at 15% compared to 11% in Shasta lake.
- In Shasta lake, the percentage of American Indian residents is higher at 2%, compared to 0% in Waipahu.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waipahu | Shasta lake |
|---|---|---|
| Mental Health Not Good | 12.7% | 19.3% |
| Physical Health Not Good | 8.3% | 13.2% |
| Depression | 10.2% | 22.9% |
| Smoking | 12.9% | 17.4% |
| Binge Drinking | 14.8% | 17.5% |
| Obesity | 22.4% | 32.5% |
| Disability Percentage | 14.0% | 25.0% |
Health Statistics Comparison: Waipahu vs Shasta lake
- In Shasta lake, a higher percentage report poor mental health at 19.3% compared to 12.7% in Waipahu.
- Higher depression rates are seen in Shasta lake at 22.9% versus 10.2% in Waipahu.
- Shasta lake has a higher smoking rate at 17.4% compared to 12.9% in Waipahu.
- More residents engage in binge drinking in Shasta lake at 17.5% compared to 14.8% in Waipahu.
- Shasta lake has higher obesity rates at 32.5% compared to 22.4% in Waipahu.
- There is a higher percentage of disabled individuals in Shasta lake at 25.0% 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 | Shasta lake |
|---|---|---|
| No Schooling | 1.8% (729) | 0.6% (67) |
| High School Diploma | 22.1% (8,831) | 17.0% (1,759) |
| Less than High School | 11.0% (4,392) | 11.4% (1,176) |
| Bachelor's Degree and Higher | 13.0% (5,195) | 9.2% (946) |
Education Levels Comparison: Waipahu vs Shasta lake
- A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 0.6% in Shasta lake.
- A higher percentage of residents in Waipahu hold a high school diploma at 22.1% compared to 17.0% in Shasta lake.
- The percentage of residents with less than a high school education is higher in Shasta lake at 11.4%, 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 Shasta lake.
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.