Demographics details for New bedford, MA vs Waipahu, HI
Population Overview
Compare main population characteristics in New bedford, MA vs Waipahu, HI.
| Data | New bedford | Waipahu |
|---|---|---|
| Population | 100,682 | 39,873 |
| Median Age | 36.8 years | 39.6 years |
| Median Income | $54,604 | $87,961 |
| Married Families | 29.0% | 38.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 5.5 | 4.6 |
Population Comparison: New bedford vs Waipahu
- In New bedford, the population is higher at 100,682, compared to 39,873 in Waipahu.
- The median age in Waipahu is higher at 39.6 years, compared to 36.8 years in New bedford.
- Waipahu has a higher median income of $87,961, compared to $54,604 in New bedford.
- In Waipahu, the percentage of married families is higher at 38.0%, compared to 29.0% in New bedford.
- New bedford has a higher poverty level at 15% compared to 10% in Waipahu.
- The unemployment rate in New bedford is higher at 5.5%, compared to 4.6% in Waipahu.
Demographics
Demographics New bedford vs Waipahu provide insight into the diversity of the communities to compare.
| Demographic | New bedford | Waipahu |
|---|---|---|
| Black | 5 | 1 |
| White | 56 | 11 |
| Asian | 1 | 67 |
| Hispanic | 23 | 6 |
| Two or More Races | 14 | 15 |
| American Indian | 1 | Data is updating |
Demographics Comparison: New bedford vs Waipahu
- A higher percentage of Black residents are in New bedford at 5% compared to 1% in Waipahu.
- New bedford has a higher percentage of White residents at 56% compared to 11% in Waipahu.
- In Waipahu, the Asian population stands at 67%, greater than 1% in New bedford.
- The Hispanic community is larger in New bedford at 23% compared to 6% in Waipahu.
- The percentage of residents identifying as two or more races is higher in Waipahu at 15%, compared to 14% in New bedford.
- A greater percentage of American Indian residents live in New bedford at 1% compared to 0% in Waipahu.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New bedford | Waipahu |
|---|---|---|
| Mental Health Not Good | 19.4% | 12.7% |
| Physical Health Not Good | 13.4% | 8.3% |
| Depression | 24.2% | 10.2% |
| Smoking | 22.3% | 12.9% |
| Binge Drinking | 16.4% | 14.8% |
| Obesity | 33.6% | 22.4% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: New bedford vs Waipahu
- More residents in New bedford report poor mental health at 19.4% compared to 12.7% in Waipahu.
- Depression is more prevalent in New bedford at 24.2% compared to 10.2% in Waipahu.
- Smoking is more prevalent in New bedford at 22.3% compared to 12.9% in Waipahu.
- Binge drinking is more common in New bedford at 16.4% compared to 14.8% in Waipahu.
- Obesity rates are higher in New bedford at 33.6% compared to 22.4% in Waipahu.
- Disability percentages are the same in both New bedford and Waipahu at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New bedford | Waipahu |
|---|---|---|
| No Schooling | 2.7% (2,746) | 1.8% (729) |
| High School Diploma | 19.3% (19,436) | 22.1% (8,831) |
| Less than High School | 28.8% (29,037) | 11.0% (4,392) |
| Bachelor's Degree and Higher | 10.9% (11,005) | 13.0% (5,195) |
Education Levels Comparison: New bedford vs Waipahu
- A higher percentage of residents in New bedford have no formal schooling at 2.7% compared to 1.8% in Waipahu.
- In Waipahu, the rate of residents with high school diplomas is higher at 22.1% compared to 19.3% in New bedford.
- More residents in New bedford have less than a high school education at 28.8% compared to 11.0% in Waipahu.
- In Waipahu, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 10.9% in New bedford.
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.