Demographics details for Ithaca, MI vs Hannibal, MO
Population Overview
Compare main population characteristics in Ithaca, MI vs Hannibal, MO.
| Data | Ithaca | Hannibal |
|---|---|---|
| Population | 2,808 | 16,938 |
| Median Age | 42.2 years | 38.5 years |
| Median Income | $60,389 | $52,746 |
| Married Families | 39.0% | 35.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Ithaca vs Hannibal
- The population in Hannibal is higher at 16,938, compared to 2,808 in Ithaca.
- Residents in Ithaca have a higher median age of 42.2 years compared to 38.5 years in Hannibal.
- Ithaca has a higher median income of $60,389 compared to $52,746 in Hannibal.
- A higher percentage of married families is found in Ithaca at 39.0% compared to 35.0% in Hannibal.
- Ithaca has a higher poverty level at 13% compared to 12% in Hannibal.
- The unemployment rate in Ithaca is higher at 4.5%, compared to 3.5% in Hannibal.
Demographics
Demographics Ithaca vs Hannibal provide insight into the diversity of the communities to compare.
| Demographic | Ithaca | Hannibal |
|---|---|---|
| Black | 1 | 8 |
| White | 87 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 8 | 1 |
| Two or More Races | 3 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Ithaca vs Hannibal
- In Hannibal, the percentage of Black residents is higher at 8% compared to 1% in Ithaca.
- The percentage of White residents is the same in both Ithaca and Hannibal at 87%.
- In Hannibal, the Asian population stands at 1%, greater than 0% in Ithaca.
- The Hispanic community is larger in Ithaca at 8% compared to 1% in Hannibal.
- Both Ithaca and Hannibal have the same percentage of residents identifying as two or more races at 3%.
- A greater percentage of American Indian residents live in Ithaca at 1% compared to 0% in Hannibal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ithaca | Hannibal |
|---|---|---|
| Mental Health Not Good | 18.5% | 19.3% |
| Physical Health Not Good | 12.1% | 14.1% |
| Depression | 27.0% | 25.4% |
| Smoking | 21.2% | 23.7% |
| Binge Drinking | 18.0% | 17.8% |
| Obesity | 36.4% | 42.0% |
| Disability Percentage | 16.0% | 17.0% |
Health Statistics Comparison: Ithaca vs Hannibal
- In Hannibal, a higher percentage report poor mental health at 19.3% compared to 18.5% in Ithaca.
- Depression is more prevalent in Ithaca at 27.0% compared to 25.4% in Hannibal.
- Hannibal has a higher smoking rate at 23.7% compared to 21.2% in Ithaca.
- Binge drinking is more common in Ithaca at 18.0% compared to 17.8% in Hannibal.
- Hannibal has higher obesity rates at 42.0% compared to 36.4% in Ithaca.
- There is a higher percentage of disabled individuals in Hannibal at 17.0% compared to 16.0% in Ithaca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ithaca | Hannibal |
|---|---|---|
| No Schooling | 1.5% (43) | 1.1% (183) |
| High School Diploma | 21.4% (602) | 22.3% (3,780) |
| Less than High School | 13.1% (368) | 15.6% (2,643) |
| Bachelor's Degree and Higher | 17.6% (495) | 15.0% (2,536) |
Education Levels Comparison: Ithaca vs Hannibal
- A higher percentage of residents in Ithaca have no formal schooling at 1.5% compared to 1.1% in Hannibal.
- In Hannibal, the rate of residents with high school diplomas is higher at 22.3% compared to 21.4% in Ithaca.
- The percentage of residents with less than a high school education is higher in Hannibal at 15.6%, compared to 13.1% in Ithaca.
- A higher percentage of residents in Ithaca hold a bachelor's degree or higher at 17.6% 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.