Demographics details for Acton, ME vs Waipahu, HI
Population Overview
Compare main population characteristics in Acton, ME vs Waipahu, HI.
| Data | Acton | Waipahu |
|---|---|---|
| Population | 2,611 | 39,873 |
| Median Age | 45.0 years | 39.6 years |
| Median Income | $70,000 | $87,961 |
| Married Families | 60.0% | 38.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 1.9 | 4.6 |
Population Comparison: Acton vs Waipahu
- The population in Waipahu is higher at 39,873, compared to 2,611 in Acton.
- Residents in Acton have a higher median age of 45.0 years compared to 39.6 years in Waipahu.
- Waipahu has a higher median income of $87,961, compared to $70,000 in Acton.
- A higher percentage of married families is found in Acton at 60.0% compared to 38.0% in Waipahu.
- The poverty level is higher in Waipahu at 10%, compared to 8% in Acton.
- Waipahu has a higher unemployment rate at 4.6% compared to 1.9% in Acton.
Demographics
Demographics Acton vs Waipahu provide insight into the diversity of the communities to compare.
| Demographic | Acton | Waipahu |
|---|---|---|
| Black | Data is updating | 1 |
| White | 98 | 11 |
| Asian | Data is updating | 67 |
| Hispanic | 1 | 6 |
| Two or More Races | 1 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Acton vs Waipahu
- In Waipahu, the percentage of Black residents is higher at 1% compared to 0% in Acton.
- Acton has a higher percentage of White residents at 98% compared to 11% in Waipahu.
- In Waipahu, the Asian population stands at 67%, greater than 0% in Acton.
- Waipahu has a higher percentage of Hispanic residents at 6%, compared to 1% in Acton.
- The percentage of residents identifying as two or more races is higher in Waipahu at 15%, compared to 1% in Acton.
- The percentage of American Indian residents is the same in both Acton and Waipahu at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Acton | Waipahu |
|---|---|---|
| Mental Health Not Good | Data is updating% | 12.7% |
| Physical Health Not Good | Data is updating% | 8.3% |
| Depression | Data is updating% | 10.2% |
| Smoking | Data is updating% | 12.9% |
| Binge Drinking | Data is updating% | 14.8% |
| Obesity | Data is updating% | 22.4% |
| Disability Percentage | Data is updating% | 14.0% |
Health Statistics Comparison: Acton vs Waipahu
- In Waipahu, a higher percentage report poor mental health at 12.7% compared to 0.0% in Acton.
- Higher depression rates are seen in Waipahu at 10.2% versus 0.0% in Acton.
- Waipahu has a higher smoking rate at 12.9% compared to 0.0% in Acton.
- More residents engage in binge drinking in Waipahu at 14.8% compared to 0.0% in Acton.
- Waipahu has higher obesity rates at 22.4% compared to 0.0% in Acton.
- There is a higher percentage of disabled individuals in Waipahu at 14.0% compared to 0.0% in Acton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Acton | Waipahu |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (729) |
| High School Diploma | 0.0% (Data is updating) | 22.1% (8,831) |
| Less than High School | 0.0% (Data is updating) | 11.0% (4,392) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.0% (5,195) |
Education Levels Comparison: Acton vs Waipahu
- In Waipahu, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Acton.
- In Waipahu, the rate of residents with high school diplomas is higher at 22.1% compared to 0.0% in Acton.
- The percentage of residents with less than a high school education is higher in Waipahu at 11.0%, compared to 0.0% in Acton.
- In Waipahu, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 0.0% in Acton.
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.