Demographics details for New bern, NC vs Hannibal, MO
Population Overview
Compare main population characteristics in New bern, NC vs Hannibal, MO.
| Data | New bern | Hannibal |
|---|---|---|
| Population | 31,539 | 16,938 |
| Median Age | 40.4 years | 38.5 years |
| Median Income | $55,673 | $52,746 |
| Married Families | 38.0% | 35.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: New bern vs Hannibal
- In New bern, the population is higher at 31,539, compared to 16,938 in Hannibal.
- Residents in New bern have a higher median age of 40.4 years compared to 38.5 years in Hannibal.
- New bern has a higher median income of $55,673 compared to $52,746 in Hannibal.
- A higher percentage of married families is found in New bern at 38.0% compared to 35.0% in Hannibal.
- The poverty level is higher in Hannibal at 12%, compared to 8% in New bern.
- The unemployment rate in New bern is higher at 4.0%, compared to 3.5% in Hannibal.
Demographics
Demographics New bern vs Hannibal provide insight into the diversity of the communities to compare.
| Demographic | New bern | Hannibal |
|---|---|---|
| Black | 31 | 8 |
| White | 52 | 87 |
| Asian | 5 | 1 |
| Hispanic | 6 | 1 |
| Two or More Races | 5 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: New bern vs Hannibal
- A higher percentage of Black residents are in New bern at 31% compared to 8% in Hannibal.
- The percentage of White residents is higher in Hannibal at 87% compared to 52% in New bern.
- The Asian population is larger in New bern at 5% compared to 1% in Hannibal.
- The Hispanic community is larger in New bern at 6% compared to 1% in Hannibal.
- More residents identify as two or more races in New bern at 5% compared to 3% in Hannibal.
- A greater percentage of American Indian residents live in New bern at 1% compared to 0% in Hannibal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New bern | Hannibal |
|---|---|---|
| Mental Health Not Good | 17.0% | 19.3% |
| Physical Health Not Good | 12.4% | 14.1% |
| Depression | 23.1% | 25.4% |
| Smoking | 19.2% | 23.7% |
| Binge Drinking | 15.7% | 17.8% |
| Obesity | 39.6% | 42.0% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: New bern vs Hannibal
- In Hannibal, a higher percentage report poor mental health at 19.3% compared to 17.0% in New bern.
- Higher depression rates are seen in Hannibal at 25.4% versus 23.1% in New bern.
- Hannibal has a higher smoking rate at 23.7% compared to 19.2% in New bern.
- More residents engage in binge drinking in Hannibal at 17.8% compared to 15.7% in New bern.
- Hannibal has higher obesity rates at 42.0% compared to 39.6% in New bern.
- There is a higher percentage of disabled individuals in Hannibal at 17.0% compared to 14.0% in New bern.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New bern | Hannibal |
|---|---|---|
| No Schooling | 0.7% (226) | 1.1% (183) |
| High School Diploma | 14.6% (4,607) | 22.3% (3,780) |
| Less than High School | 10.3% (3,249) | 15.6% (2,643) |
| Bachelor's Degree and Higher | 20.0% (6,293) | 15.0% (2,536) |
Education Levels Comparison: New bern vs Hannibal
- In Hannibal, a larger percentage of residents lack formal schooling at 1.1% compared to 0.7% in New bern.
- In Hannibal, the rate of residents with high school diplomas is higher at 22.3% compared to 14.6% in New bern.
- The percentage of residents with less than a high school education is higher in Hannibal at 15.6%, compared to 10.3% in New bern.
- A higher percentage of residents in New bern hold a bachelor's degree or higher at 20.0% 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.