Demographics details for Hannibal, MO vs Kearny, NJ
Population Overview
Compare main population characteristics in Hannibal, MO vs Kearny, NJ.
| Data | Hannibal | Kearny |
|---|---|---|
| Population | 16,938 | 39,862 |
| Median Age | 38.5 years | 39.1 years |
| Median Income | $52,746 | $81,307 |
| Married Families | 35.0% | 41.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Hannibal vs Kearny
- The population in Kearny is higher at 39,862, compared to 16,938 in Hannibal.
- The median age in Kearny is higher at 39.1 years, compared to 38.5 years in Hannibal.
- Kearny has a higher median income of $81,307, compared to $52,746 in Hannibal.
- In Kearny, the percentage of married families is higher at 41.0%, compared to 35.0% in Hannibal.
- Hannibal has a higher poverty level at 12% compared to 11% in Kearny.
- Kearny has a higher unemployment rate at 5.2% compared to 3.5% in Hannibal.
Demographics
Demographics Hannibal vs Kearny provide insight into the diversity of the communities to compare.
| Demographic | Hannibal | Kearny |
|---|---|---|
| Black | 8 | 5 |
| White | 87 | 15 |
| Asian | 1 | 4 |
| Hispanic | 1 | 56 |
| Two or More Races | 3 | 20 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hannibal vs Kearny
- A higher percentage of Black residents are in Hannibal at 8% compared to 5% in Kearny.
- Hannibal has a higher percentage of White residents at 87% compared to 15% in Kearny.
- In Kearny, the Asian population stands at 4%, greater than 1% in Hannibal.
- Kearny has a higher percentage of Hispanic residents at 56%, compared to 1% in Hannibal.
- The percentage of residents identifying as two or more races is higher in Kearny at 20%, compared to 3% in Hannibal.
- The percentage of American Indian residents is the same in both Hannibal and Kearny at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hannibal | Kearny |
|---|---|---|
| Mental Health Not Good | 19.3% | 15.0% |
| Physical Health Not Good | 14.1% | 11.5% |
| Depression | 25.4% | 19.3% |
| Smoking | 23.7% | 14.6% |
| Binge Drinking | 17.8% | 17.0% |
| Obesity | 42.0% | 26.4% |
| Disability Percentage | 17.0% | 8.0% |
Health Statistics Comparison: Hannibal vs Kearny
- More residents in Hannibal report poor mental health at 19.3% compared to 15.0% in Kearny.
- Depression is more prevalent in Hannibal at 25.4% compared to 19.3% in Kearny.
- Smoking is more prevalent in Hannibal at 23.7% compared to 14.6% in Kearny.
- Binge drinking is more common in Hannibal at 17.8% compared to 17.0% in Kearny.
- Obesity rates are higher in Hannibal at 42.0% compared to 26.4% in Kearny.
- Disability percentages are higher in Hannibal at 17.0% compared to 8.0% in Kearny.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hannibal | Kearny |
|---|---|---|
| No Schooling | 1.1% (183) | 2.3% (899) |
| High School Diploma | 22.3% (3,780) | 21.9% (8,719) |
| Less than High School | 15.6% (2,643) | 22.3% (8,901) |
| Bachelor's Degree and Higher | 15.0% (2,536) | 21.1% (8,419) |
Education Levels Comparison: Hannibal vs Kearny
- In Kearny, a larger percentage of residents lack formal schooling at 2.3% compared to 1.1% in Hannibal.
- A higher percentage of residents in Hannibal hold a high school diploma at 22.3% compared to 21.9% in Kearny.
- The percentage of residents with less than a high school education is higher in Kearny at 22.3%, compared to 15.6% in Hannibal.
- In Kearny, a larger share of residents have a bachelor's degree or higher at 21.1% 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.