Demographics details for Marshall, CA vs Waikoloa, HI
Population Overview
Compare main population characteristics in Marshall, CA vs Waikoloa, HI.
Data | Marshall | Waikoloa |
---|---|---|
Population | 533 | 7,418 |
Median Age | 42.0 years | 38.1 years |
Median Income | $90,000 | $103,135 |
Married Families | 60.0% | 48.0% |
Poverty Level | 5% | 8% |
Unemployment Rate | 3.0 | 3.2 |
Population Comparison: Marshall vs Waikoloa
- The population in Waikoloa is higher at 7,418, compared to 533 in Marshall.
- Residents in Marshall have a higher median age of 42.0 years compared to 38.1 years in Waikoloa.
- Waikoloa has a higher median income of $103,135, compared to $90,000 in Marshall.
- A higher percentage of married families is found in Marshall at 60.0% compared to 48.0% in Waikoloa.
- The poverty level is higher in Waikoloa at 8%, compared to 5% in Marshall.
- Waikoloa has a higher unemployment rate at 3.2% compared to 3.0% in Marshall.
Demographics
Demographics Marshall vs Waikoloa provide insight into the diversity of the communities to compare.
Demographic | Marshall | Waikoloa |
---|---|---|
Black | Data is updating | 2 |
White | 90 | 40 |
Asian | 2 | 17 |
Hispanic | 5 | 14 |
Two or More Races | 3 | 23 |
American Indian | Data is updating | 4 |
Demographics Comparison: Marshall vs Waikoloa
- In Waikoloa, the percentage of Black residents is higher at 2% compared to 0% in Marshall.
- Marshall has a higher percentage of White residents at 90% compared to 40% in Waikoloa.
- In Waikoloa, the Asian population stands at 17%, greater than 2% in Marshall.
- Waikoloa has a higher percentage of Hispanic residents at 14%, compared to 5% in Marshall.
- The percentage of residents identifying as two or more races is higher in Waikoloa at 23%, compared to 3% in Marshall.
- In Waikoloa, the percentage of American Indian residents is higher at 4%, compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marshall | Waikoloa |
---|---|---|
Mental Health Not Good | Data is updating% | 13.7% |
Physical Health Not Good | Data is updating% | 8.1% |
Depression | Data is updating% | 16.7% |
Smoking | Data is updating% | 10.5% |
Binge Drinking | Data is updating% | 22.6% |
Obesity | Data is updating% | 24.7% |
Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Marshall vs Waikoloa
- In Waikoloa, a higher percentage report poor mental health at 13.7% compared to 0.0% in Marshall.
- Higher depression rates are seen in Waikoloa at 16.7% versus 0.0% in Marshall.
- Waikoloa has a higher smoking rate at 10.5% compared to 0.0% in Marshall.
- More residents engage in binge drinking in Waikoloa at 22.6% compared to 0.0% in Marshall.
- Waikoloa has higher obesity rates at 24.7% compared to 0.0% in Marshall.
- There is a higher percentage of disabled individuals in Waikoloa at 8.0% compared to 0.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marshall | Waikoloa |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 13.6% (1,009) |
Less than High School | 0.0% (Data is updating) | 7.6% (564) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 21.2% (1,576) |
Education Levels Comparison: Marshall vs Waikoloa
- The percentage of residents with no formal schooling is the same in both Marshall and Waikoloa at 0.0%.
- In Waikoloa, the rate of residents with high school diplomas is higher at 13.6% compared to 0.0% in Marshall.
- The percentage of residents with less than a high school education is higher in Waikoloa at 7.6%, compared to 0.0% in Marshall.
- In Waikoloa, a larger share of residents have a bachelor's degree or higher at 21.2% compared to 0.0% in Marshall.
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.