Demographics details for Beverly, MA vs Waipahu, HI
Population Overview
Compare main population characteristics in Beverly, MA vs Waipahu, HI.
| Data | Beverly | Waipahu |
|---|---|---|
| Population | 42,235 | 39,873 |
| Median Age | 40.3 years | 39.6 years |
| Median Income | $99,525 | $87,961 |
| Married Families | 40.0% | 38.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.5 | 4.6 |
Population Comparison: Beverly vs Waipahu
- In Beverly, the population is higher at 42,235, compared to 39,873 in Waipahu.
- Residents in Beverly have a higher median age of 40.3 years compared to 39.6 years in Waipahu.
- Beverly has a higher median income of $99,525 compared to $87,961 in Waipahu.
- A higher percentage of married families is found in Beverly at 40.0% compared to 38.0% in Waipahu.
- The poverty level is higher in Waipahu at 10%, compared to 5% in Beverly.
- Waipahu has a higher unemployment rate at 4.6% compared to 3.5% in Beverly.
Demographics
Demographics Beverly vs Waipahu provide insight into the diversity of the communities to compare.
| Demographic | Beverly | Waipahu |
|---|---|---|
| Black | 3 | 1 |
| White | 83 | 11 |
| Asian | 3 | 67 |
| Hispanic | 6 | 6 |
| Two or More Races | 5 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Beverly vs Waipahu
- A higher percentage of Black residents are in Beverly at 3% compared to 1% in Waipahu.
- Beverly has a higher percentage of White residents at 83% compared to 11% in Waipahu.
- In Waipahu, the Asian population stands at 67%, greater than 3% in Beverly.
- The percentage of Hispanic residents is the same in both Beverly and Waipahu at 6%.
- The percentage of residents identifying as two or more races is higher in Waipahu at 15%, compared to 5% in Beverly.
- The percentage of American Indian residents is the same in both Beverly and Waipahu at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beverly | Waipahu |
|---|---|---|
| Mental Health Not Good | 16.1% | 12.7% |
| Physical Health Not Good | 8.5% | 8.3% |
| Depression | 23.6% | 10.2% |
| Smoking | 11.9% | 12.9% |
| Binge Drinking | 18.4% | 14.8% |
| Obesity | 28.5% | 22.4% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Beverly vs Waipahu
- More residents in Beverly report poor mental health at 16.1% compared to 12.7% in Waipahu.
- Depression is more prevalent in Beverly at 23.6% compared to 10.2% in Waipahu.
- Waipahu has a higher smoking rate at 12.9% compared to 11.9% in Beverly.
- Binge drinking is more common in Beverly at 18.4% compared to 14.8% in Waipahu.
- Obesity rates are higher in Beverly at 28.5% compared to 22.4% in Waipahu.
- There is a higher percentage of disabled individuals in Waipahu at 14.0% compared to 11.0% in Beverly.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Beverly | Waipahu |
|---|---|---|
| No Schooling | 0.3% (143) | 1.8% (729) |
| High School Diploma | 13.0% (5,502) | 22.1% (8,831) |
| Less than High School | 4.0% (1,686) | 11.0% (4,392) |
| Bachelor's Degree and Higher | 36.2% (15,307) | 13.0% (5,195) |
Education Levels Comparison: Beverly vs Waipahu
- In Waipahu, a larger percentage of residents lack formal schooling at 1.8% compared to 0.3% in Beverly.
- In Waipahu, the rate of residents with high school diplomas is higher at 22.1% compared to 13.0% in Beverly.
- The percentage of residents with less than a high school education is higher in Waipahu at 11.0%, compared to 4.0% in Beverly.
- A higher percentage of residents in Beverly hold a bachelor's degree or higher at 36.2% 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.