Demographics details for Hannibal, MO vs Waikoloa, HI
Population Overview
Compare main population characteristics in Hannibal, MO vs Waikoloa, HI.
| Data | Hannibal | Waikoloa |
|---|---|---|
| Population | 16,938 | 7,418 |
| Median Age | 38.5 years | 38.1 years |
| Median Income | $52,746 | $103,135 |
| Married Families | 35.0% | 48.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Hannibal vs Waikoloa
- In Hannibal, the population is higher at 16,938, compared to 7,418 in Waikoloa.
- Residents in Hannibal have a higher median age of 38.5 years compared to 38.1 years in Waikoloa.
- Waikoloa has a higher median income of $103,135, compared to $52,746 in Hannibal.
- In Waikoloa, the percentage of married families is higher at 48.0%, compared to 35.0% in Hannibal.
- Hannibal has a higher poverty level at 12% compared to 8% in Waikoloa.
- The unemployment rate in Hannibal is higher at 3.5%, compared to 3.2% in Waikoloa.
Demographics
Demographics Hannibal vs Waikoloa provide insight into the diversity of the communities to compare.
| Demographic | Hannibal | Waikoloa |
|---|---|---|
| Black | 8 | 2 |
| White | 87 | 40 |
| Asian | 1 | 17 |
| Hispanic | 1 | 14 |
| Two or More Races | 3 | 23 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Hannibal vs Waikoloa
- A higher percentage of Black residents are in Hannibal at 8% compared to 2% in Waikoloa.
- Hannibal has a higher percentage of White residents at 87% compared to 40% in Waikoloa.
- In Waikoloa, the Asian population stands at 17%, greater than 1% in Hannibal.
- Waikoloa has a higher percentage of Hispanic residents at 14%, compared to 1% in Hannibal.
- The percentage of residents identifying as two or more races is higher in Waikoloa at 23%, compared to 3% in Hannibal.
- In Waikoloa, the percentage of American Indian residents is higher at 4%, compared to 0% in Hannibal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hannibal | Waikoloa |
|---|---|---|
| Mental Health Not Good | 19.3% | 13.7% |
| Physical Health Not Good | 14.1% | 8.1% |
| Depression | 25.4% | 16.7% |
| Smoking | 23.7% | 10.5% |
| Binge Drinking | 17.8% | 22.6% |
| Obesity | 42.0% | 24.7% |
| Disability Percentage | 17.0% | 8.0% |
Health Statistics Comparison: Hannibal vs Waikoloa
- More residents in Hannibal report poor mental health at 19.3% compared to 13.7% in Waikoloa.
- Depression is more prevalent in Hannibal at 25.4% compared to 16.7% in Waikoloa.
- Smoking is more prevalent in Hannibal at 23.7% compared to 10.5% in Waikoloa.
- More residents engage in binge drinking in Waikoloa at 22.6% compared to 17.8% in Hannibal.
- Obesity rates are higher in Hannibal at 42.0% compared to 24.7% in Waikoloa.
- Disability percentages are higher in Hannibal at 17.0% 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 | Hannibal | Waikoloa |
|---|---|---|
| No Schooling | 1.1% (183) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (3,780) | 13.6% (1,009) |
| Less than High School | 15.6% (2,643) | 7.6% (564) |
| Bachelor's Degree and Higher | 15.0% (2,536) | 21.2% (1,576) |
Education Levels Comparison: Hannibal vs Waikoloa
- A higher percentage of residents in Hannibal have no formal schooling at 1.1% compared to 0.0% in Waikoloa.
- A higher percentage of residents in Hannibal hold a high school diploma at 22.3% compared to 13.6% in Waikoloa.
- More residents in Hannibal have less than a high school education at 15.6% 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 15.0% in Hannibal.
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.