Demographics details for Hannibal, MO vs Kelso, TN
Population Overview
Compare main population characteristics in Hannibal, MO vs Kelso, TN.
| Data | Hannibal | Kelso |
|---|---|---|
| Population | 16,938 | 185 |
| Median Age | 38.5 years | 42.0 years |
| Median Income | $52,746 | $60,000 |
| Married Families | 35.0% | 70.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Hannibal vs Kelso
- In Hannibal, the population is higher at 16,938, compared to 185 in Kelso.
- The median age in Kelso is higher at 42.0 years, compared to 38.5 years in Hannibal.
- Kelso has a higher median income of $60,000, compared to $52,746 in Hannibal.
- In Kelso, the percentage of married families is higher at 70.0%, compared to 35.0% in Hannibal.
- The poverty level is higher in Kelso at 13%, compared to 12% in Hannibal.
- The unemployment rate is the same in both Hannibal and Kelso at 3.5%.
Demographics
Demographics Hannibal vs Kelso provide insight into the diversity of the communities to compare.
| Demographic | Hannibal | Kelso |
|---|---|---|
| Black | 8 | Data is updating |
| White | 87 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hannibal vs Kelso
- A higher percentage of Black residents are in Hannibal at 8% compared to 0% in Kelso.
- The percentage of White residents is higher in Kelso at 100% compared to 87% in Hannibal.
- The Asian population is larger in Hannibal at 1% compared to 0% in Kelso.
- The Hispanic community is larger in Hannibal at 1% compared to 0% in Kelso.
- More residents identify as two or more races in Hannibal at 3% compared to 0% in Kelso.
- The percentage of American Indian residents is the same in both Hannibal and Kelso at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hannibal | Kelso |
|---|---|---|
| Mental Health Not Good | 19.3% | Data is updating% |
| Physical Health Not Good | 14.1% | Data is updating% |
| Depression | 25.4% | Data is updating% |
| Smoking | 23.7% | Data is updating% |
| Binge Drinking | 17.8% | Data is updating% |
| Obesity | 42.0% | Data is updating% |
| Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Hannibal vs Kelso
- More residents in Hannibal report poor mental health at 19.3% compared to 0.0% in Kelso.
- Depression is more prevalent in Hannibal at 25.4% compared to 0.0% in Kelso.
- Smoking is more prevalent in Hannibal at 23.7% compared to 0.0% in Kelso.
- Binge drinking is more common in Hannibal at 17.8% compared to 0.0% in Kelso.
- Obesity rates are higher in Hannibal at 42.0% compared to 0.0% in Kelso.
- Disability percentages are higher in Hannibal at 17.0% compared to 0.0% in Kelso.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hannibal | Kelso |
|---|---|---|
| No Schooling | 1.1% (183) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (3,780) | 0.0% (Data is updating) |
| Less than High School | 15.6% (2,643) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.0% (2,536) | 0.0% (Data is updating) |
Education Levels Comparison: Hannibal vs Kelso
- A higher percentage of residents in Hannibal have no formal schooling at 1.1% compared to 0.0% in Kelso.
- A higher percentage of residents in Hannibal hold a high school diploma at 22.3% compared to 0.0% in Kelso.
- More residents in Hannibal have less than a high school education at 15.6% compared to 0.0% in Kelso.
- A higher percentage of residents in Hannibal hold a bachelor's degree or higher at 15.0% compared to 0.0% in Kelso.
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.