Demographics details for Waikoloa, HI vs Falls city, NE
Population Overview
Compare main population characteristics in Waikoloa, HI vs Falls city, NE.
Data | Waikoloa | Falls city |
---|---|---|
Population | 7,418 | 4,052 |
Median Age | 38.1 years | 40.6 years |
Median Income | $103,135 | $40,222 |
Married Families | 48.0% | 38.0% |
Poverty Level | 8% | 13% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Waikoloa vs Falls city
- In Waikoloa, the population is higher at 7,418, compared to 4,052 in Falls city.
- The median age in Falls city is higher at 40.6 years, compared to 38.1 years in Waikoloa.
- Waikoloa has a higher median income of $103,135 compared to $40,222 in Falls city.
- A higher percentage of married families is found in Waikoloa at 48.0% compared to 38.0% in Falls city.
- The poverty level is higher in Falls city at 13%, compared to 8% in Waikoloa.
- Falls city has a higher unemployment rate at 3.5% compared to 3.2% in Waikoloa.
Demographics
Demographics Waikoloa vs Falls city provide insight into the diversity of the communities to compare.
Demographic | Waikoloa | Falls city |
---|---|---|
Black | 2 | 1 |
White | 40 | 91 |
Asian | 17 | Data is updating |
Hispanic | 14 | Data is updating |
Two or More Races | 23 | 5 |
American Indian | 4 | 3 |
Demographics Comparison: Waikoloa vs Falls city
- A higher percentage of Black residents are in Waikoloa at 2% compared to 1% in Falls city.
- The percentage of White residents is higher in Falls city at 91% compared to 40% in Waikoloa.
- The Asian population is larger in Waikoloa at 17% compared to 0% in Falls city.
- The Hispanic community is larger in Waikoloa at 14% compared to 0% in Falls city.
- More residents identify as two or more races in Waikoloa at 23% compared to 5% in Falls city.
- A greater percentage of American Indian residents live in Waikoloa at 4% compared to 3% in Falls city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waikoloa | Falls city |
---|---|---|
Mental Health Not Good | 13.7% | 14.9% |
Physical Health Not Good | 8.1% | 10.9% |
Depression | 16.7% | 17.2% |
Smoking | 10.5% | 19.3% |
Binge Drinking | 22.6% | 20.4% |
Obesity | 24.7% | 43.9% |
Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Waikoloa vs Falls city
- In Falls city, a higher percentage report poor mental health at 14.9% compared to 13.7% in Waikoloa.
- Higher depression rates are seen in Falls city at 17.2% versus 16.7% in Waikoloa.
- Falls city has a higher smoking rate at 19.3% compared to 10.5% in Waikoloa.
- Binge drinking is more common in Waikoloa at 22.6% compared to 20.4% in Falls city.
- Falls city has higher obesity rates at 43.9% compared to 24.7% in Waikoloa.
- There is a higher percentage of disabled individuals in Falls city at 14.0% 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 | Falls city |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 13.6% (1,009) | 26.2% (1,063) |
Less than High School | 7.6% (564) | 8.6% (349) |
Bachelor's Degree and Higher | 21.2% (1,576) | 14.8% (598) |
Education Levels Comparison: Waikoloa vs Falls city
- The percentage of residents with no formal schooling is the same in both Waikoloa and Falls city at 0.0%.
- In Falls city, the rate of residents with high school diplomas is higher at 26.2% compared to 13.6% in Waikoloa.
- The percentage of residents with less than a high school education is higher in Falls city at 8.6%, 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 14.8% in Falls 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.