Demographics details for Waikoloa, HI vs Sidney, IA
Population Overview
Compare main population characteristics in Waikoloa, HI vs Sidney, IA.
| Data | Waikoloa | Sidney |
|---|---|---|
| Population | 7,418 | 1,037 |
| Median Age | 38.1 years | 41.7 years |
| Median Income | $103,135 | $64,500 |
| Married Families | 48.0% | 31.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 3.2 | 3.0 |
Population Comparison: Waikoloa vs Sidney
- In Waikoloa, the population is higher at 7,418, compared to 1,037 in Sidney.
- The median age in Sidney is higher at 41.7 years, compared to 38.1 years in Waikoloa.
- Waikoloa has a higher median income of $103,135 compared to $64,500 in Sidney.
- A higher percentage of married families is found in Waikoloa at 48.0% compared to 31.0% in Sidney.
- The poverty level is higher in Sidney at 10%, compared to 8% in Waikoloa.
- The unemployment rate in Waikoloa is higher at 3.2%, compared to 3.0% in Sidney.
Demographics
Demographics Waikoloa vs Sidney provide insight into the diversity of the communities to compare.
| Demographic | Waikoloa | Sidney |
|---|---|---|
| Black | 2 | 1 |
| White | 40 | 88 |
| Asian | 17 | Data is updating |
| Hispanic | 14 | 4 |
| Two or More Races | 23 | 7 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Waikoloa vs Sidney
- A higher percentage of Black residents are in Waikoloa at 2% compared to 1% in Sidney.
- The percentage of White residents is higher in Sidney at 88% compared to 40% in Waikoloa.
- The Asian population is larger in Waikoloa at 17% compared to 0% in Sidney.
- The Hispanic community is larger in Waikoloa at 14% compared to 4% in Sidney.
- More residents identify as two or more races in Waikoloa at 23% compared to 7% in Sidney.
- A greater percentage of American Indian residents live in Waikoloa at 4% compared to 0% in Sidney.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waikoloa | Sidney |
|---|---|---|
| Mental Health Not Good | 13.7% | 16.4% |
| Physical Health Not Good | 8.1% | 10.7% |
| Depression | 16.7% | 20.0% |
| Smoking | 10.5% | 19.1% |
| Binge Drinking | 22.6% | 20.8% |
| Obesity | 24.7% | 39.2% |
| Disability Percentage | 8.0% | 16.0% |
Health Statistics Comparison: Waikoloa vs Sidney
- In Sidney, a higher percentage report poor mental health at 16.4% compared to 13.7% in Waikoloa.
- Higher depression rates are seen in Sidney at 20.0% versus 16.7% in Waikoloa.
- Sidney has a higher smoking rate at 19.1% compared to 10.5% in Waikoloa.
- Binge drinking is more common in Waikoloa at 22.6% compared to 20.8% in Sidney.
- Sidney has higher obesity rates at 39.2% compared to 24.7% in Waikoloa.
- There is a higher percentage of disabled individuals in Sidney at 16.0% 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 | Sidney |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 13.6% (1,009) | 20.9% (217) |
| Less than High School | 7.6% (564) | 8.1% (84) |
| Bachelor's Degree and Higher | 21.2% (1,576) | 11.6% (120) |
Education Levels Comparison: Waikoloa vs Sidney
- The percentage of residents with no formal schooling is the same in both Waikoloa and Sidney at 0.0%.
- In Sidney, the rate of residents with high school diplomas is higher at 20.9% compared to 13.6% in Waikoloa.
- The percentage of residents with less than a high school education is higher in Sidney at 8.1%, compared to 7.6% in Waikoloa.
- A higher percentage of residents in Waikoloa hold a bachelor's degree or higher at 21.2% compared to 11.6% in Sidney.
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.