Demographics details for Hannibal, MO vs Sewell, NJ
Population Overview
Compare main population characteristics in Hannibal, MO vs Sewell, NJ.
| Data | Hannibal | Sewell |
|---|---|---|
| Population | 16,938 | 19,679 |
| Median Age | 38.5 years | 39.0 years |
| Median Income | $52,746 | $110,000 |
| Married Families | 35.0% | 60.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Hannibal vs Sewell
- The population in Sewell is higher at 19,679, compared to 16,938 in Hannibal.
- The median age in Sewell is higher at 39.0 years, compared to 38.5 years in Hannibal.
- Sewell has a higher median income of $110,000, compared to $52,746 in Hannibal.
- In Sewell, the percentage of married families is higher at 60.0%, compared to 35.0% in Hannibal.
- Hannibal has a higher poverty level at 12% compared to 5% in Sewell.
- The unemployment rate in Hannibal is higher at 3.5%, compared to 3.0% in Sewell.
Demographics
Demographics Hannibal vs Sewell provide insight into the diversity of the communities to compare.
| Demographic | Hannibal | Sewell |
|---|---|---|
| Black | 8 | 10 |
| White | 87 | 85 |
| Asian | 1 | 3 |
| Hispanic | 1 | 2 |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hannibal vs Sewell
- In Sewell, the percentage of Black residents is higher at 10% compared to 8% in Hannibal.
- Hannibal has a higher percentage of White residents at 87% compared to 85% in Sewell.
- In Sewell, the Asian population stands at 3%, greater than 1% in Hannibal.
- Sewell has a higher percentage of Hispanic residents at 2%, compared to 1% in Hannibal.
- More residents identify as two or more races in Hannibal at 3% compared to 0% in Sewell.
- The percentage of American Indian residents is the same in both Hannibal and Sewell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hannibal | Sewell |
|---|---|---|
| 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 Sewell
- More residents in Hannibal report poor mental health at 19.3% compared to 0.0% in Sewell.
- Depression is more prevalent in Hannibal at 25.4% compared to 0.0% in Sewell.
- Smoking is more prevalent in Hannibal at 23.7% compared to 0.0% in Sewell.
- Binge drinking is more common in Hannibal at 17.8% compared to 0.0% in Sewell.
- Obesity rates are higher in Hannibal at 42.0% compared to 0.0% in Sewell.
- Disability percentages are higher in Hannibal at 17.0% compared to 0.0% in Sewell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hannibal | Sewell |
|---|---|---|
| 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 Sewell
- A higher percentage of residents in Hannibal have no formal schooling at 1.1% compared to 0.0% in Sewell.
- A higher percentage of residents in Hannibal hold a high school diploma at 22.3% compared to 0.0% in Sewell.
- More residents in Hannibal have less than a high school education at 15.6% compared to 0.0% in Sewell.
- A higher percentage of residents in Hannibal hold a bachelor's degree or higher at 15.0% compared to 0.0% in Sewell.
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.