Demographics details for Kingman, AZ vs Waikoloa, HI
Population Overview
Compare main population characteristics in Kingman, AZ vs Waikoloa, HI.
| Data | Kingman | Waikoloa |
|---|---|---|
| Population | 34,918 | 7,418 |
| Median Age | 42.1 years | 38.1 years |
| Median Income | $56,360 | $103,135 |
| Married Families | 37.0% | 48.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Kingman vs Waikoloa
- In Kingman, the population is higher at 34,918, compared to 7,418 in Waikoloa.
- Residents in Kingman have a higher median age of 42.1 years compared to 38.1 years in Waikoloa.
- Waikoloa has a higher median income of $103,135, compared to $56,360 in Kingman.
- In Waikoloa, the percentage of married families is higher at 48.0%, compared to 37.0% in Kingman.
- Kingman has a higher poverty level at 12% compared to 8% in Waikoloa.
- The unemployment rate in Kingman is higher at 4.2%, compared to 3.2% in Waikoloa.
Demographics
Demographics Kingman vs Waikoloa provide insight into the diversity of the communities to compare.
| Demographic | Kingman | Waikoloa |
|---|---|---|
| Black | 2 | 2 |
| White | 72 | 40 |
| Asian | 2 | 17 |
| Hispanic | 16 | 14 |
| Two or More Races | 7 | 23 |
| American Indian | 1 | 4 |
Demographics Comparison: Kingman vs Waikoloa
- The percentage of Black residents is the same in both Kingman and Waikoloa at 2%.
- Kingman has a higher percentage of White residents at 72% compared to 40% in Waikoloa.
- In Waikoloa, the Asian population stands at 17%, greater than 2% in Kingman.
- The Hispanic community is larger in Kingman at 16% compared to 14% in Waikoloa.
- The percentage of residents identifying as two or more races is higher in Waikoloa at 23%, compared to 7% in Kingman.
- In Waikoloa, the percentage of American Indian residents is higher at 4%, compared to 1% in Kingman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingman | Waikoloa |
|---|---|---|
| Mental Health Not Good | 18.2% | 13.7% |
| Physical Health Not Good | 12.4% | 8.1% |
| Depression | 21.2% | 16.7% |
| Smoking | 19.1% | 10.5% |
| Binge Drinking | 18.5% | 22.6% |
| Obesity | 34.5% | 24.7% |
| Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Kingman vs Waikoloa
- More residents in Kingman report poor mental health at 18.2% compared to 13.7% in Waikoloa.
- Depression is more prevalent in Kingman at 21.2% compared to 16.7% in Waikoloa.
- Smoking is more prevalent in Kingman at 19.1% compared to 10.5% in Waikoloa.
- More residents engage in binge drinking in Waikoloa at 22.6% compared to 18.5% in Kingman.
- Obesity rates are higher in Kingman at 34.5% compared to 24.7% in Waikoloa.
- Disability percentages are higher in Kingman at 18.0% compared to 8.0% in Waikoloa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingman | Waikoloa |
|---|---|---|
| No Schooling | 0.8% (266) | 0.0% (Data is updating) |
| High School Diploma | 15.7% (5,487) | 13.6% (1,009) |
| Less than High School | 13.6% (4,744) | 7.6% (564) |
| Bachelor's Degree and Higher | 13.7% (4,777) | 21.2% (1,576) |
Education Levels Comparison: Kingman vs Waikoloa
- A higher percentage of residents in Kingman have no formal schooling at 0.8% compared to 0.0% in Waikoloa.
- A higher percentage of residents in Kingman hold a high school diploma at 15.7% compared to 13.6% in Waikoloa.
- More residents in Kingman have less than a high school education at 13.6% compared to 7.6% in Waikoloa.
- In Waikoloa, a larger share of residents have a bachelor's degree or higher at 21.2% compared to 13.7% in Kingman.
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.