Demographics details for Hannibal, MO vs Yankton, SD
Population Overview
Compare main population characteristics in Hannibal, MO vs Yankton, SD.
| Data | Hannibal | Yankton |
|---|---|---|
| Population | 16,938 | 15,534 |
| Median Age | 38.5 years | 39.9 years |
| Median Income | $52,746 | $60,180 |
| Married Families | 35.0% | 37.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Hannibal vs Yankton
- In Hannibal, the population is higher at 16,938, compared to 15,534 in Yankton.
- The median age in Yankton is higher at 39.9 years, compared to 38.5 years in Hannibal.
- Yankton has a higher median income of $60,180, compared to $52,746 in Hannibal.
- In Yankton, the percentage of married families is higher at 37.0%, compared to 35.0% in Hannibal.
- The poverty level is identical in both Hannibal and Yankton at 12%.
- Yankton has a higher unemployment rate at 3.6% compared to 3.5% in Hannibal.
Demographics
Demographics Hannibal vs Yankton provide insight into the diversity of the communities to compare.
| Demographic | Hannibal | Yankton |
|---|---|---|
| Black | 8 | 2 |
| White | 87 | 81 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 7 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Hannibal vs Yankton
- A higher percentage of Black residents are in Hannibal at 8% compared to 2% in Yankton.
- Hannibal has a higher percentage of White residents at 87% compared to 81% in Yankton.
- The Asian population is larger in Hannibal at 1% compared to 0% in Yankton.
- Yankton has a higher percentage of Hispanic residents at 7%, compared to 1% in Hannibal.
- The percentage of residents identifying as two or more races is higher in Yankton at 7%, compared to 3% in Hannibal.
- In Yankton, the percentage of American Indian residents is higher at 3%, compared to 0% in Hannibal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hannibal | Yankton |
|---|---|---|
| Mental Health Not Good | 19.3% | 13.9% |
| Physical Health Not Good | 14.1% | 9.9% |
| Depression | 25.4% | 17.9% |
| Smoking | 23.7% | 18.3% |
| Binge Drinking | 17.8% | 20.3% |
| Obesity | 42.0% | 37.9% |
| Disability Percentage | 17.0% | 16.0% |
Health Statistics Comparison: Hannibal vs Yankton
- More residents in Hannibal report poor mental health at 19.3% compared to 13.9% in Yankton.
- Depression is more prevalent in Hannibal at 25.4% compared to 17.9% in Yankton.
- Smoking is more prevalent in Hannibal at 23.7% compared to 18.3% in Yankton.
- More residents engage in binge drinking in Yankton at 20.3% compared to 17.8% in Hannibal.
- Obesity rates are higher in Hannibal at 42.0% compared to 37.9% in Yankton.
- Disability percentages are higher in Hannibal at 17.0% compared to 16.0% in Yankton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hannibal | Yankton |
|---|---|---|
| No Schooling | 1.1% (183) | 0.5% (73) |
| High School Diploma | 22.3% (3,780) | 16.8% (2,614) |
| Less than High School | 15.6% (2,643) | 8.3% (1,290) |
| Bachelor's Degree and Higher | 15.0% (2,536) | 20.7% (3,222) |
Education Levels Comparison: Hannibal vs Yankton
- A higher percentage of residents in Hannibal have no formal schooling at 1.1% compared to 0.5% in Yankton.
- A higher percentage of residents in Hannibal hold a high school diploma at 22.3% compared to 16.8% in Yankton.
- More residents in Hannibal have less than a high school education at 15.6% compared to 8.3% in Yankton.
- In Yankton, a larger share of residents have a bachelor's degree or higher at 20.7% 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.