Demographics details for Forest, MS vs Hannibal, MO
Population Overview
Compare main population characteristics in Forest, MS vs Hannibal, MO.
| Data | Forest | Hannibal |
|---|---|---|
| Population | 5,330 | 16,938 |
| Median Age | 36.4 years | 38.5 years |
| Median Income | $50,093 | $52,746 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Forest vs Hannibal
- The population in Hannibal is higher at 16,938, compared to 5,330 in Forest.
- The median age in Hannibal is higher at 38.5 years, compared to 36.4 years in Forest.
- Hannibal has a higher median income of $52,746, compared to $50,093 in Forest.
- The percentage of married families is the same in both Forest and Hannibal at 35.0%.
- Forest has a higher poverty level at 18% compared to 12% in Hannibal.
- The unemployment rate in Forest is higher at 4.5%, compared to 3.5% in Hannibal.
Demographics
Demographics Forest vs Hannibal provide insight into the diversity of the communities to compare.
| Demographic | Forest | Hannibal |
|---|---|---|
| Black | 43 | 8 |
| White | 24 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 30 | 1 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest vs Hannibal
- A higher percentage of Black residents are in Forest at 43% compared to 8% in Hannibal.
- The percentage of White residents is higher in Hannibal at 87% compared to 24% in Forest.
- In Hannibal, the Asian population stands at 1%, greater than 0% in Forest.
- The Hispanic community is larger in Forest at 30% compared to 1% in Hannibal.
- Both Forest and Hannibal have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Forest and Hannibal at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest | Hannibal |
|---|---|---|
| Mental Health Not Good | 18.9% | 19.3% |
| Physical Health Not Good | 16.8% | 14.1% |
| Depression | 21.2% | 25.4% |
| Smoking | 26.1% | 23.7% |
| Binge Drinking | 11.8% | 17.8% |
| Obesity | 45.7% | 42.0% |
| Disability Percentage | 20.0% | 17.0% |
Health Statistics Comparison: Forest vs Hannibal
- In Hannibal, a higher percentage report poor mental health at 19.3% compared to 18.9% in Forest.
- Higher depression rates are seen in Hannibal at 25.4% versus 21.2% in Forest.
- Smoking is more prevalent in Forest at 26.1% compared to 23.7% in Hannibal.
- More residents engage in binge drinking in Hannibal at 17.8% compared to 11.8% in Forest.
- Obesity rates are higher in Forest at 45.7% compared to 42.0% in Hannibal.
- Disability percentages are higher in Forest at 20.0% compared to 17.0% in Hannibal.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest | Hannibal |
|---|---|---|
| No Schooling | 4.4% (232) | 1.1% (183) |
| High School Diploma | 10.5% (557) | 22.3% (3,780) |
| Less than High School | 33.4% (1,779) | 15.6% (2,643) |
| Bachelor's Degree and Higher | 8.5% (455) | 15.0% (2,536) |
Education Levels Comparison: Forest vs Hannibal
- A higher percentage of residents in Forest have no formal schooling at 4.4% compared to 1.1% in Hannibal.
- In Hannibal, the rate of residents with high school diplomas is higher at 22.3% compared to 10.5% in Forest.
- More residents in Forest have less than a high school education at 33.4% compared to 15.6% in Hannibal.
- In Hannibal, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 8.5% in Forest.
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.