Demographics details for Hermosa beach, CA vs Waipahu, HI
Population Overview
Compare main population characteristics in Hermosa beach, CA vs Waipahu, HI.
Data | Hermosa beach | Waipahu |
---|---|---|
Population | 18,985 | 39,873 |
Median Age | 40.2 years | 39.6 years |
Median Income | $149,500 | $87,961 |
Married Families | 42.0% | 38.0% |
Poverty Level | 7% | 10% |
Unemployment Rate | 3.5 | 4.6 |
Population Comparison: Hermosa beach vs Waipahu
- The population in Waipahu is higher at 39,873, compared to 18,985 in Hermosa beach.
- Residents in Hermosa beach have a higher median age of 40.2 years compared to 39.6 years in Waipahu.
- Hermosa beach has a higher median income of $149,500 compared to $87,961 in Waipahu.
- A higher percentage of married families is found in Hermosa beach at 42.0% compared to 38.0% in Waipahu.
- The poverty level is higher in Waipahu at 10%, compared to 7% in Hermosa beach.
- Waipahu has a higher unemployment rate at 4.6% compared to 3.5% in Hermosa beach.
Demographics
Demographics Hermosa beach vs Waipahu provide insight into the diversity of the communities to compare.
Demographic | Hermosa beach | Waipahu |
---|---|---|
Black | 1 | 1 |
White | 67 | 11 |
Asian | 8 | 67 |
Hispanic | 12 | 6 |
Two or More Races | 12 | 15 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hermosa beach vs Waipahu
- The percentage of Black residents is the same in both Hermosa beach and Waipahu at 1%.
- Hermosa beach has a higher percentage of White residents at 67% compared to 11% in Waipahu.
- In Waipahu, the Asian population stands at 67%, greater than 8% in Hermosa beach.
- The Hispanic community is larger in Hermosa beach at 12% compared to 6% in Waipahu.
- The percentage of residents identifying as two or more races is higher in Waipahu at 15%, compared to 12% in Hermosa beach.
- The percentage of American Indian residents is the same in both Hermosa beach and Waipahu at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hermosa beach | Waipahu |
---|---|---|
Mental Health Not Good | 12.2% | 12.7% |
Physical Health Not Good | 6.8% | 8.3% |
Depression | 16.0% | 10.2% |
Smoking | 6.0% | 12.9% |
Binge Drinking | 19.0% | 14.8% |
Obesity | 22.2% | 22.4% |
Disability Percentage | 6.0% | 14.0% |
Health Statistics Comparison: Hermosa beach vs Waipahu
- In Waipahu, a higher percentage report poor mental health at 12.7% compared to 12.2% in Hermosa beach.
- Depression is more prevalent in Hermosa beach at 16.0% compared to 10.2% in Waipahu.
- Waipahu has a higher smoking rate at 12.9% compared to 6.0% in Hermosa beach.
- Binge drinking is more common in Hermosa beach at 19.0% compared to 14.8% in Waipahu.
- Waipahu has higher obesity rates at 22.4% compared to 22.2% in Hermosa beach.
- There is a higher percentage of disabled individuals in Waipahu at 14.0% compared to 6.0% in Hermosa beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hermosa beach | Waipahu |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.8% (729) |
High School Diploma | 4.5% (851) | 22.1% (8,831) |
Less than High School | 1.4% (260) | 11.0% (4,392) |
Bachelor's Degree and Higher | 61.9% (11,749) | 13.0% (5,195) |
Education Levels Comparison: Hermosa beach vs Waipahu
- In Waipahu, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Hermosa beach.
- In Waipahu, the rate of residents with high school diplomas is higher at 22.1% compared to 4.5% in Hermosa beach.
- The percentage of residents with less than a high school education is higher in Waipahu at 11.0%, compared to 1.4% in Hermosa beach.
- A higher percentage of residents in Hermosa beach hold a bachelor's degree or higher at 61.9% 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.