Demographics details for Hannibal, MO vs Winchester, VA
Population Overview
Compare main population characteristics in Hannibal, MO vs Winchester, VA.
| Data | Hannibal | Winchester |
|---|---|---|
| Population | 16,938 | 27,936 |
| Median Age | 38.5 years | 36.6 years |
| Median Income | $52,746 | $62,495 |
| Married Families | 35.0% | 33.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Hannibal vs Winchester
- The population in Winchester is higher at 27,936, compared to 16,938 in Hannibal.
- Residents in Hannibal have a higher median age of 38.5 years compared to 36.6 years in Winchester.
- Winchester has a higher median income of $62,495, compared to $52,746 in Hannibal.
- A higher percentage of married families is found in Hannibal at 35.0% compared to 33.0% in Winchester.
- Hannibal has a higher poverty level at 12% compared to 10% in Winchester.
- The unemployment rate in Hannibal is higher at 3.5%, compared to 3.1% in Winchester.
Demographics
Demographics Hannibal vs Winchester provide insight into the diversity of the communities to compare.
| Demographic | Hannibal | Winchester |
|---|---|---|
| Black | 8 | 10 |
| White | 87 | 60 |
| Asian | 1 | 2 |
| Hispanic | 1 | 19 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hannibal vs Winchester
- In Winchester, 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 60% in Winchester.
- In Winchester, the Asian population stands at 2%, greater than 1% in Hannibal.
- Winchester has a higher percentage of Hispanic residents at 19%, compared to 1% in Hannibal.
- The percentage of residents identifying as two or more races is higher in Winchester at 9%, compared to 3% in Hannibal.
- The percentage of American Indian residents is the same in both Hannibal and Winchester at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hannibal | Winchester |
|---|---|---|
| Mental Health Not Good | 19.3% | 16.3% |
| Physical Health Not Good | 14.1% | 11.1% |
| Depression | 25.4% | 22.7% |
| Smoking | 23.7% | 15.8% |
| Binge Drinking | 17.8% | 16.5% |
| Obesity | 42.0% | 38.0% |
| Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Hannibal vs Winchester
- More residents in Hannibal report poor mental health at 19.3% compared to 16.3% in Winchester.
- Depression is more prevalent in Hannibal at 25.4% compared to 22.7% in Winchester.
- Smoking is more prevalent in Hannibal at 23.7% compared to 15.8% in Winchester.
- Binge drinking is more common in Hannibal at 17.8% compared to 16.5% in Winchester.
- Obesity rates are higher in Hannibal at 42.0% compared to 38.0% in Winchester.
- Disability percentages are higher in Hannibal at 17.0% compared to 15.0% in Winchester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hannibal | Winchester |
|---|---|---|
| No Schooling | 1.1% (183) | 0.7% (207) |
| High School Diploma | 22.3% (3,780) | 15.0% (4,203) |
| Less than High School | 15.6% (2,643) | 15.9% (4,448) |
| Bachelor's Degree and Higher | 15.0% (2,536) | 21.7% (6,065) |
Education Levels Comparison: Hannibal vs Winchester
- A higher percentage of residents in Hannibal have no formal schooling at 1.1% compared to 0.7% in Winchester.
- A higher percentage of residents in Hannibal hold a high school diploma at 22.3% compared to 15.0% in Winchester.
- The percentage of residents with less than a high school education is higher in Winchester at 15.9%, compared to 15.6% in Hannibal.
- In Winchester, a larger share of residents have a bachelor's degree or higher at 21.7% 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.