Demographics details for Scott city, KS vs Waipahu, HI
Population Overview
Compare main population characteristics in Scott city, KS vs Waipahu, HI.
| Data | Scott city | Waipahu |
|---|---|---|
| Population | 4,008 | 39,873 |
| Median Age | 36.0 years | 39.6 years |
| Median Income | $47,217 | $87,961 |
| Married Families | 44.0% | 38.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.0 | 4.6 |
Population Comparison: Scott city vs Waipahu
- The population in Waipahu is higher at 39,873, compared to 4,008 in Scott city.
- The median age in Waipahu is higher at 39.6 years, compared to 36.0 years in Scott city.
- Waipahu has a higher median income of $87,961, compared to $47,217 in Scott city.
- A higher percentage of married families is found in Scott city at 44.0% compared to 38.0% in Waipahu.
- The poverty level is identical in both Scott city and Waipahu at 10%.
- Waipahu has a higher unemployment rate at 4.6% compared to 4.0% in Scott city.
Demographics
Demographics Scott city vs Waipahu provide insight into the diversity of the communities to compare.
| Demographic | Scott city | Waipahu |
|---|---|---|
| Black | Data is updating | 1 |
| White | 69 | 11 |
| Asian | 1 | 67 |
| Hispanic | 25 | 6 |
| Two or More Races | 5 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Scott city vs Waipahu
- In Waipahu, the percentage of Black residents is higher at 1% compared to 0% in Scott city.
- Scott city has a higher percentage of White residents at 69% compared to 11% in Waipahu.
- In Waipahu, the Asian population stands at 67%, greater than 1% in Scott city.
- The Hispanic community is larger in Scott city at 25% compared to 6% in Waipahu.
- The percentage of residents identifying as two or more races is higher in Waipahu at 15%, compared to 5% in Scott city.
- The percentage of American Indian residents is the same in both Scott city and Waipahu at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Scott city | Waipahu |
|---|---|---|
| Mental Health Not Good | 15.6% | 12.7% |
| Physical Health Not Good | 10.3% | 8.3% |
| Depression | 19.7% | 10.2% |
| Smoking | 17.6% | 12.9% |
| Binge Drinking | 19.2% | 14.8% |
| Obesity | 38.1% | 22.4% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Scott city vs Waipahu
- More residents in Scott city report poor mental health at 15.6% compared to 12.7% in Waipahu.
- Depression is more prevalent in Scott city at 19.7% compared to 10.2% in Waipahu.
- Smoking is more prevalent in Scott city at 17.6% compared to 12.9% in Waipahu.
- Binge drinking is more common in Scott city at 19.2% compared to 14.8% in Waipahu.
- Obesity rates are higher in Scott city at 38.1% compared to 22.4% in Waipahu.
- There is a higher percentage of disabled individuals in Waipahu at 14.0% compared to 11.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Scott city | Waipahu |
|---|---|---|
| No Schooling | 2.9% (116) | 1.8% (729) |
| High School Diploma | 13.5% (543) | 22.1% (8,831) |
| Less than High School | 24.2% (968) | 11.0% (4,392) |
| Bachelor's Degree and Higher | 12.2% (490) | 13.0% (5,195) |
Education Levels Comparison: Scott city vs Waipahu
- A higher percentage of residents in Scott city have no formal schooling at 2.9% compared to 1.8% in Waipahu.
- In Waipahu, the rate of residents with high school diplomas is higher at 22.1% compared to 13.5% in Scott city.
- More residents in Scott city have less than a high school education at 24.2% 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 12.2% in Scott city.
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.