Demographics details for Hannibal, MO vs Wilmington, NC
Population Overview
Compare main population characteristics in Hannibal, MO vs Wilmington, NC.
Data | Hannibal | Wilmington |
---|---|---|
Population | 16,938 | 120,324 |
Median Age | 38.5 years | 37.6 years |
Median Income | $52,746 | $58,908 |
Married Families | 35.0% | 32.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Hannibal vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 16,938 in Hannibal.
- Residents in Hannibal have a higher median age of 38.5 years compared to 37.6 years in Wilmington.
- Wilmington has a higher median income of $58,908, compared to $52,746 in Hannibal.
- A higher percentage of married families is found in Hannibal at 35.0% compared to 32.0% in Wilmington.
- The poverty level is identical in both Hannibal and Wilmington at 12%.
- Wilmington has a higher unemployment rate at 3.7% compared to 3.5% in Hannibal.
Demographics
Demographics Hannibal vs Wilmington provide insight into the diversity of the communities to compare.
Demographic | Hannibal | Wilmington |
---|---|---|
Black | 8 | 16 |
White | 87 | 71 |
Asian | 1 | 1 |
Hispanic | 1 | 7 |
Two or More Races | 3 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hannibal vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 8% in Hannibal.
- Hannibal has a higher percentage of White residents at 87% compared to 71% in Wilmington.
- Both Hannibal and Wilmington have the same percentage of Asian residents at 1%.
- Wilmington 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 Wilmington at 5%, compared to 3% in Hannibal.
- The percentage of American Indian residents is the same in both Hannibal and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hannibal | Wilmington |
---|---|---|
Mental Health Not Good | 19.3% | 16.9% |
Physical Health Not Good | 14.1% | 11.0% |
Depression | 25.4% | 25.0% |
Smoking | 23.7% | 16.5% |
Binge Drinking | 17.8% | 18.5% |
Obesity | 42.0% | 33.2% |
Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Hannibal vs Wilmington
- More residents in Hannibal report poor mental health at 19.3% compared to 16.9% in Wilmington.
- Depression is more prevalent in Hannibal at 25.4% compared to 25.0% in Wilmington.
- Smoking is more prevalent in Hannibal at 23.7% compared to 16.5% in Wilmington.
- More residents engage in binge drinking in Wilmington at 18.5% compared to 17.8% in Hannibal.
- Obesity rates are higher in Hannibal at 42.0% compared to 33.2% in Wilmington.
- Disability percentages are higher in Hannibal at 17.0% compared to 12.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hannibal | Wilmington |
---|---|---|
No Schooling | 1.1% (183) | 0.5% (560) |
High School Diploma | 22.3% (3,780) | 10.5% (12,679) |
Less than High School | 15.6% (2,643) | 7.1% (8,513) |
Bachelor's Degree and Higher | 15.0% (2,536) | 28.5% (34,319) |
Education Levels Comparison: Hannibal vs Wilmington
- A higher percentage of residents in Hannibal have no formal schooling at 1.1% compared to 0.5% in Wilmington.
- A higher percentage of residents in Hannibal hold a high school diploma at 22.3% compared to 10.5% in Wilmington.
- More residents in Hannibal have less than a high school education at 15.6% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% 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.