Demographics details for Waikoloa, HI vs Wilmington, NC
Population Overview
Compare main population characteristics in Waikoloa, HI vs Wilmington, NC.
| Data | Waikoloa | Wilmington |
|---|---|---|
| Population | 7,418 | 120,324 |
| Median Age | 38.1 years | 37.6 years |
| Median Income | $103,135 | $58,908 |
| Married Families | 48.0% | 32.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 3.2 | 3.7 |
Population Comparison: Waikoloa vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 7,418 in Waikoloa.
- Residents in Waikoloa have a higher median age of 38.1 years compared to 37.6 years in Wilmington.
- Waikoloa has a higher median income of $103,135 compared to $58,908 in Wilmington.
- A higher percentage of married families is found in Waikoloa at 48.0% compared to 32.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 8% in Waikoloa.
- Wilmington has a higher unemployment rate at 3.7% compared to 3.2% in Waikoloa.
Demographics
Demographics Waikoloa vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Waikoloa | Wilmington |
|---|---|---|
| Black | 2 | 16 |
| White | 40 | 71 |
| Asian | 17 | 1 |
| Hispanic | 14 | 7 |
| Two or More Races | 23 | 5 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Waikoloa vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 2% in Waikoloa.
- The percentage of White residents is higher in Wilmington at 71% compared to 40% in Waikoloa.
- The Asian population is larger in Waikoloa at 17% compared to 1% in Wilmington.
- The Hispanic community is larger in Waikoloa at 14% compared to 7% in Wilmington.
- More residents identify as two or more races in Waikoloa at 23% compared to 5% in Wilmington.
- A greater percentage of American Indian residents live in Waikoloa at 4% compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waikoloa | Wilmington |
|---|---|---|
| Mental Health Not Good | 13.7% | 16.9% |
| Physical Health Not Good | 8.1% | 11.0% |
| Depression | 16.7% | 25.0% |
| Smoking | 10.5% | 16.5% |
| Binge Drinking | 22.6% | 18.5% |
| Obesity | 24.7% | 33.2% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Waikoloa vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 13.7% in Waikoloa.
- Higher depression rates are seen in Wilmington at 25.0% versus 16.7% in Waikoloa.
- Wilmington has a higher smoking rate at 16.5% compared to 10.5% in Waikoloa.
- Binge drinking is more common in Waikoloa at 22.6% compared to 18.5% in Wilmington.
- Wilmington has higher obesity rates at 33.2% compared to 24.7% in Waikoloa.
- There is a higher percentage of disabled individuals in Wilmington at 12.0% 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 | Waikoloa | Wilmington |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (560) |
| High School Diploma | 13.6% (1,009) | 10.5% (12,679) |
| Less than High School | 7.6% (564) | 7.1% (8,513) |
| Bachelor's Degree and Higher | 21.2% (1,576) | 28.5% (34,319) |
Education Levels Comparison: Waikoloa vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Waikoloa.
- A higher percentage of residents in Waikoloa hold a high school diploma at 13.6% compared to 10.5% in Wilmington.
- More residents in Waikoloa have less than a high school education at 7.6% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 21.2% in Waikoloa.
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.