Demographics details for Waipahu, HI vs Rutherford, NJ
Population Overview
Compare main population characteristics in Waipahu, HI vs Rutherford, NJ.
Data | Waipahu | Rutherford |
---|---|---|
Population | 39,873 | 18,662 |
Median Age | 39.6 years | 40.5 years |
Median Income | $87,961 | $128,576 |
Married Families | 38.0% | 42.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 4.6 | 3.4 |
Population Comparison: Waipahu vs Rutherford
- In Waipahu, the population is higher at 39,873, compared to 18,662 in Rutherford.
- The median age in Rutherford is higher at 40.5 years, compared to 39.6 years in Waipahu.
- Rutherford has a higher median income of $128,576, compared to $87,961 in Waipahu.
- In Rutherford, the percentage of married families is higher at 42.0%, compared to 38.0% in Waipahu.
- Waipahu has a higher poverty level at 10% compared to 9% in Rutherford.
- The unemployment rate in Waipahu is higher at 4.6%, compared to 3.4% in Rutherford.
Demographics
Demographics Waipahu vs Rutherford provide insight into the diversity of the communities to compare.
Demographic | Waipahu | Rutherford |
---|---|---|
Black | 1 | 3 |
White | 11 | 49 |
Asian | 67 | 16 |
Hispanic | 6 | 21 |
Two or More Races | 15 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waipahu vs Rutherford
- In Rutherford, the percentage of Black residents is higher at 3% compared to 1% in Waipahu.
- The percentage of White residents is higher in Rutherford at 49% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 16% in Rutherford.
- Rutherford has a higher percentage of Hispanic residents at 21%, compared to 6% in Waipahu.
- More residents identify as two or more races in Waipahu at 15% compared to 11% in Rutherford.
- The percentage of American Indian residents is the same in both Waipahu and Rutherford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waipahu | Rutherford |
---|---|---|
Mental Health Not Good | 12.7% | 13.2% |
Physical Health Not Good | 8.3% | 7.8% |
Depression | 10.2% | 17.0% |
Smoking | 12.9% | 10.8% |
Binge Drinking | 14.8% | 17.6% |
Obesity | 22.4% | 24.9% |
Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Waipahu vs Rutherford
- In Rutherford, a higher percentage report poor mental health at 13.2% compared to 12.7% in Waipahu.
- Higher depression rates are seen in Rutherford at 17.0% versus 10.2% in Waipahu.
- Smoking is more prevalent in Waipahu at 12.9% compared to 10.8% in Rutherford.
- More residents engage in binge drinking in Rutherford at 17.6% compared to 14.8% in Waipahu.
- Rutherford has higher obesity rates at 24.9% compared to 22.4% in Waipahu.
- Disability percentages are higher in Waipahu at 14.0% compared to 9.0% in Rutherford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waipahu | Rutherford |
---|---|---|
No Schooling | 1.8% (729) | 0.9% (161) |
High School Diploma | 22.1% (8,831) | 12.4% (2,318) |
Less than High School | 11.0% (4,392) | 6.3% (1,175) |
Bachelor's Degree and Higher | 13.0% (5,195) | 38.9% (7,259) |
Education Levels Comparison: Waipahu vs Rutherford
- A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 0.9% in Rutherford.
- A higher percentage of residents in Waipahu hold a high school diploma at 22.1% compared to 12.4% in Rutherford.
- More residents in Waipahu have less than a high school education at 11.0% compared to 6.3% in Rutherford.
- In Rutherford, a larger share of residents have a bachelor's degree or higher at 38.9% 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.