Demographics details for Independence, LA vs Hannibal, MO
Population Overview
Compare main population characteristics in Independence, LA vs Hannibal, MO.
Data | Independence | Hannibal |
---|---|---|
Population | 1,644 | 16,938 |
Median Age | 36.0 years | 38.5 years |
Median Income | $41,071 | $52,746 |
Married Families | 37.0% | 35.0% |
Poverty Level | 23% | 12% |
Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Independence vs Hannibal
- The population in Hannibal is higher at 16,938, compared to 1,644 in Independence.
- The median age in Hannibal is higher at 38.5 years, compared to 36.0 years in Independence.
- Hannibal has a higher median income of $52,746, compared to $41,071 in Independence.
- A higher percentage of married families is found in Independence at 37.0% compared to 35.0% in Hannibal.
- Independence has a higher poverty level at 23% compared to 12% in Hannibal.
- The unemployment rate in Independence is higher at 5.2%, compared to 3.5% in Hannibal.
Demographics
Demographics Independence vs Hannibal provide insight into the diversity of the communities to compare.
Demographic | Independence | Hannibal |
---|---|---|
Black | 66 | 8 |
White | 20 | 87 |
Asian | Data is updating | 1 |
Hispanic | 5 | 1 |
Two or More Races | 9 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Independence vs Hannibal
- A higher percentage of Black residents are in Independence at 66% compared to 8% in Hannibal.
- The percentage of White residents is higher in Hannibal at 87% compared to 20% in Independence.
- In Hannibal, the Asian population stands at 1%, greater than 0% in Independence.
- The Hispanic community is larger in Independence at 5% compared to 1% in Hannibal.
- More residents identify as two or more races in Independence at 9% compared to 3% in Hannibal.
- The percentage of American Indian residents is the same in both Independence and Hannibal at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Independence | Hannibal |
---|---|---|
Mental Health Not Good | 22.5% | 19.3% |
Physical Health Not Good | 16.4% | 14.1% |
Depression | 26.8% | 25.4% |
Smoking | 26.7% | 23.7% |
Binge Drinking | 16.5% | 17.8% |
Obesity | 43.8% | 42.0% |
Disability Percentage | 26.0% | 17.0% |
Health Statistics Comparison: Independence vs Hannibal
- More residents in Independence report poor mental health at 22.5% compared to 19.3% in Hannibal.
- Depression is more prevalent in Independence at 26.8% compared to 25.4% in Hannibal.
- Smoking is more prevalent in Independence at 26.7% compared to 23.7% in Hannibal.
- More residents engage in binge drinking in Hannibal at 17.8% compared to 16.5% in Independence.
- Obesity rates are higher in Independence at 43.8% compared to 42.0% in Hannibal.
- Disability percentages are higher in Independence at 26.0% 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 | Independence | Hannibal |
---|---|---|
No Schooling | 0.4% (7) | 1.1% (183) |
High School Diploma | 27.1% (445) | 22.3% (3,780) |
Less than High School | 24.4% (401) | 15.6% (2,643) |
Bachelor's Degree and Higher | 11.5% (189) | 15.0% (2,536) |
Education Levels Comparison: Independence vs Hannibal
- In Hannibal, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Independence.
- A higher percentage of residents in Independence hold a high school diploma at 27.1% compared to 22.3% in Hannibal.
- More residents in Independence have less than a high school education at 24.4% 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 11.5% in Independence.
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.