Demographics details for Canton, GA vs Hannibal, MO
Population Overview
Compare main population characteristics in Canton, GA vs Hannibal, MO.
| Data | Canton | Hannibal |
|---|---|---|
| Population | 35,809 | 16,938 |
| Median Age | 34.6 years | 38.5 years |
| Median Income | $75,414 | $52,746 |
| Married Families | 39.0% | 35.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Canton vs Hannibal
- In Canton, the population is higher at 35,809, compared to 16,938 in Hannibal.
- The median age in Hannibal is higher at 38.5 years, compared to 34.6 years in Canton.
- Canton has a higher median income of $75,414 compared to $52,746 in Hannibal.
- A higher percentage of married families is found in Canton at 39.0% compared to 35.0% in Hannibal.
- The poverty level is higher in Hannibal at 12%, compared to 9% in Canton.
- Hannibal has a higher unemployment rate at 3.5% compared to 3.2% in Canton.
Demographics
Demographics Canton vs Hannibal provide insight into the diversity of the communities to compare.
| Demographic | Canton | Hannibal |
|---|---|---|
| Black | 12 | 8 |
| White | 55 | 87 |
| Asian | 1 | 1 |
| Hispanic | 21 | 1 |
| Two or More Races | 8 | 3 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Canton vs Hannibal
- A higher percentage of Black residents are in Canton at 12% compared to 8% in Hannibal.
- The percentage of White residents is higher in Hannibal at 87% compared to 55% in Canton.
- Both Canton and Hannibal have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Canton at 21% compared to 1% in Hannibal.
- More residents identify as two or more races in Canton at 8% compared to 3% in Hannibal.
- A greater percentage of American Indian residents live in Canton at 3% compared to 0% in Hannibal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Canton | Hannibal |
|---|---|---|
| Mental Health Not Good | 15.8% | 19.3% |
| Physical Health Not Good | 11.9% | 14.1% |
| Depression | 21.8% | 25.4% |
| Smoking | 16.0% | 23.7% |
| Binge Drinking | 15.8% | 17.8% |
| Obesity | 33.4% | 42.0% |
| Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Canton vs Hannibal
- In Hannibal, a higher percentage report poor mental health at 19.3% compared to 15.8% in Canton.
- Higher depression rates are seen in Hannibal at 25.4% versus 21.8% in Canton.
- Hannibal has a higher smoking rate at 23.7% compared to 16.0% in Canton.
- More residents engage in binge drinking in Hannibal at 17.8% compared to 15.8% in Canton.
- Hannibal has higher obesity rates at 42.0% compared to 33.4% in Canton.
- There is a higher percentage of disabled individuals in Hannibal at 17.0% compared to 10.0% in Canton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Canton | Hannibal |
|---|---|---|
| No Schooling | 3.5% (1,250) | 1.1% (183) |
| High School Diploma | 10.1% (3,609) | 22.3% (3,780) |
| Less than High School | 18.0% (6,437) | 15.6% (2,643) |
| Bachelor's Degree and Higher | 19.7% (7,056) | 15.0% (2,536) |
Education Levels Comparison: Canton vs Hannibal
- A higher percentage of residents in Canton have no formal schooling at 3.5% compared to 1.1% in Hannibal.
- In Hannibal, the rate of residents with high school diplomas is higher at 22.3% compared to 10.1% in Canton.
- More residents in Canton have less than a high school education at 18.0% compared to 15.6% in Hannibal.
- A higher percentage of residents in Canton hold a bachelor's degree or higher at 19.7% 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.