Demographics details for Hannibal, MO vs Helen, GA
Population Overview
Compare main population characteristics in Hannibal, MO vs Helen, GA.
| Data | Hannibal | Helen |
|---|---|---|
| Population | 16,938 | 578 |
| Median Age | 38.5 years | 60.2 years |
| Median Income | $52,746 | $74,375 |
| Married Families | 35.0% | 46.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.5 | 4.4 |
Population Comparison: Hannibal vs Helen
- In Hannibal, the population is higher at 16,938, compared to 578 in Helen.
- The median age in Helen is higher at 60.2 years, compared to 38.5 years in Hannibal.
- Helen has a higher median income of $74,375, compared to $52,746 in Hannibal.
- In Helen, the percentage of married families is higher at 46.0%, compared to 35.0% in Hannibal.
- Hannibal has a higher poverty level at 12% compared to 8% in Helen.
- Helen has a higher unemployment rate at 4.4% compared to 3.5% in Hannibal.
Demographics
Demographics Hannibal vs Helen provide insight into the diversity of the communities to compare.
| Demographic | Hannibal | Helen |
|---|---|---|
| Black | 8 | Data is updating |
| White | 87 | 91 |
| Asian | 1 | 7 |
| Hispanic | 1 | Data is updating |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hannibal vs Helen
- A higher percentage of Black residents are in Hannibal at 8% compared to 0% in Helen.
- The percentage of White residents is higher in Helen at 91% compared to 87% in Hannibal.
- In Helen, the Asian population stands at 7%, greater than 1% in Hannibal.
- The Hispanic community is larger in Hannibal at 1% compared to 0% in Helen.
- More residents identify as two or more races in Hannibal at 3% compared to 2% in Helen.
- The percentage of American Indian residents is the same in both Hannibal and Helen at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hannibal | Helen |
|---|---|---|
| Mental Health Not Good | 19.3% | 14.9% |
| Physical Health Not Good | 14.1% | 9.6% |
| Depression | 25.4% | 21.8% |
| Smoking | 23.7% | 12.8% |
| Binge Drinking | 17.8% | 17.1% |
| Obesity | 42.0% | 28.6% |
| Disability Percentage | 17.0% | 18.0% |
Health Statistics Comparison: Hannibal vs Helen
- More residents in Hannibal report poor mental health at 19.3% compared to 14.9% in Helen.
- Depression is more prevalent in Hannibal at 25.4% compared to 21.8% in Helen.
- Smoking is more prevalent in Hannibal at 23.7% compared to 12.8% in Helen.
- Binge drinking is more common in Hannibal at 17.8% compared to 17.1% in Helen.
- Obesity rates are higher in Hannibal at 42.0% compared to 28.6% in Helen.
- There is a higher percentage of disabled individuals in Helen at 18.0% compared to 17.0% in Hannibal.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hannibal | Helen |
|---|---|---|
| No Schooling | 1.1% (183) | 0.3% (2) |
| High School Diploma | 22.3% (3,780) | 11.6% (67) |
| Less than High School | 15.6% (2,643) | 6.4% (37) |
| Bachelor's Degree and Higher | 15.0% (2,536) | 28.4% (164) |
Education Levels Comparison: Hannibal vs Helen
- A higher percentage of residents in Hannibal have no formal schooling at 1.1% compared to 0.3% in Helen.
- A higher percentage of residents in Hannibal hold a high school diploma at 22.3% compared to 11.6% in Helen.
- More residents in Hannibal have less than a high school education at 15.6% compared to 6.4% in Helen.
- In Helen, a larger share of residents have a bachelor's degree or higher at 28.4% 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.