Demographics details for Waipahu, HI vs Chester, IA
Population Overview
Compare main population characteristics in Waipahu, HI vs Chester, IA.
| Data | Waipahu | Chester |
|---|---|---|
| Population | 39,873 | 138 |
| Median Age | 39.6 years | 38.5 years |
| Median Income | $87,961 | $52,083 |
| Married Families | 38.0% | 44.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Waipahu vs Chester
- In Waipahu, the population is higher at 39,873, compared to 138 in Chester.
- Residents in Waipahu have a higher median age of 39.6 years compared to 38.5 years in Chester.
- Waipahu has a higher median income of $87,961 compared to $52,083 in Chester.
- In Chester, the percentage of married families is higher at 44.0%, compared to 38.0% in Waipahu.
- Waipahu has a higher poverty level at 10% compared to 5% in Chester.
- The unemployment rate in Waipahu is higher at 4.6%, compared to 3.5% in Chester.
Demographics
Demographics Waipahu vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Waipahu | Chester |
|---|---|---|
| Black | 1 | Data is updating |
| White | 11 | 98 |
| Asian | 67 | Data is updating |
| Hispanic | 6 | 1 |
| Two or More Races | 15 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waipahu vs Chester
- A higher percentage of Black residents are in Waipahu at 1% compared to 0% in Chester.
- The percentage of White residents is higher in Chester at 98% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 0% in Chester.
- The Hispanic community is larger in Waipahu at 6% compared to 1% in Chester.
- More residents identify as two or more races in Waipahu at 15% compared to 1% in Chester.
- The percentage of American Indian residents is the same in both Waipahu and Chester at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waipahu | Chester |
|---|---|---|
| Mental Health Not Good | 12.7% | 15.9% |
| Physical Health Not Good | 8.3% | 10.7% |
| Depression | 10.2% | 18.7% |
| Smoking | 12.9% | 20.1% |
| Binge Drinking | 14.8% | 21.8% |
| Obesity | 22.4% | 36.4% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Waipahu vs Chester
- In Chester, a higher percentage report poor mental health at 15.9% compared to 12.7% in Waipahu.
- Higher depression rates are seen in Chester at 18.7% versus 10.2% in Waipahu.
- Chester has a higher smoking rate at 20.1% compared to 12.9% in Waipahu.
- More residents engage in binge drinking in Chester at 21.8% compared to 14.8% in Waipahu.
- Chester has higher obesity rates at 36.4% compared to 22.4% in Waipahu.
- Disability percentages are higher in Waipahu at 14.0% compared to 9.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waipahu | Chester |
|---|---|---|
| No Schooling | 1.8% (729) | 0.0% (Data is updating) |
| High School Diploma | 22.1% (8,831) | 25.4% (35) |
| Less than High School | 11.0% (4,392) | 13.0% (18) |
| Bachelor's Degree and Higher | 13.0% (5,195) | 5.8% (8) |
Education Levels Comparison: Waipahu vs Chester
- A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 0.0% in Chester.
- In Chester, the rate of residents with high school diplomas is higher at 25.4% compared to 22.1% in Waipahu.
- The percentage of residents with less than a high school education is higher in Chester at 13.0%, compared to 11.0% in Waipahu.
- A higher percentage of residents in Waipahu hold a bachelor's degree or higher at 13.0% compared to 5.8% in Chester.
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.