Demographics details for Byers, CO vs Hannibal, MO
Population Overview
Compare main population characteristics in Byers, CO vs Hannibal, MO.
| Data | Byers | Hannibal |
|---|---|---|
| Population | 1,635 | 16,938 |
| Median Age | 29.4 years | 38.5 years |
| Median Income | $93,750 | $52,746 |
| Married Families | 33.0% | 35.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Byers vs Hannibal
- The population in Hannibal is higher at 16,938, compared to 1,635 in Byers.
- The median age in Hannibal is higher at 38.5 years, compared to 29.4 years in Byers.
- Byers has a higher median income of $93,750 compared to $52,746 in Hannibal.
- In Hannibal, the percentage of married families is higher at 35.0%, compared to 33.0% in Byers.
- The poverty level is higher in Hannibal at 12%, compared to 0% in Byers.
- Hannibal has a higher unemployment rate at 3.5% compared to 2.5% in Byers.
Demographics
Demographics Byers vs Hannibal provide insight into the diversity of the communities to compare.
| Demographic | Byers | Hannibal |
|---|---|---|
| Black | Data is updating | 8 |
| White | 20 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 43 | 1 |
| Two or More Races | 36 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Byers vs Hannibal
- In Hannibal, the percentage of Black residents is higher at 8% compared to 0% in Byers.
- The percentage of White residents is higher in Hannibal at 87% compared to 20% in Byers.
- In Hannibal, the Asian population stands at 1%, greater than 0% in Byers.
- The Hispanic community is larger in Byers at 43% compared to 1% in Hannibal.
- More residents identify as two or more races in Byers at 36% compared to 3% in Hannibal.
- A greater percentage of American Indian residents live in Byers at 1% compared to 0% in Hannibal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Byers | Hannibal |
|---|---|---|
| Mental Health Not Good | 15.9% | 19.3% |
| Physical Health Not Good | 10.0% | 14.1% |
| Depression | 22.4% | 25.4% |
| Smoking | 16.2% | 23.7% |
| Binge Drinking | 20.1% | 17.8% |
| Obesity | 25.6% | 42.0% |
| Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Byers vs Hannibal
- In Hannibal, a higher percentage report poor mental health at 19.3% compared to 15.9% in Byers.
- Higher depression rates are seen in Hannibal at 25.4% versus 22.4% in Byers.
- Hannibal has a higher smoking rate at 23.7% compared to 16.2% in Byers.
- Binge drinking is more common in Byers at 20.1% compared to 17.8% in Hannibal.
- Hannibal has higher obesity rates at 42.0% compared to 25.6% in Byers.
- There is a higher percentage of disabled individuals in Hannibal at 17.0% compared to 10.0% in Byers.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Byers | Hannibal |
|---|---|---|
| No Schooling | 1.0% (17) | 1.1% (183) |
| High School Diploma | 16.5% (270) | 22.3% (3,780) |
| Less than High School | 8.0% (130) | 15.6% (2,643) |
| Bachelor's Degree and Higher | 7.8% (128) | 15.0% (2,536) |
Education Levels Comparison: Byers vs Hannibal
- In Hannibal, a larger percentage of residents lack formal schooling at 1.1% compared to 1.0% in Byers.
- In Hannibal, the rate of residents with high school diplomas is higher at 22.3% compared to 16.5% in Byers.
- The percentage of residents with less than a high school education is higher in Hannibal at 15.6%, compared to 8.0% in Byers.
- In Hannibal, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 7.8% in Byers.
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.