Demographics details for Sulphur, LA vs Hannibal, MO
Population Overview
Compare main population characteristics in Sulphur, LA vs Hannibal, MO.
Data | Sulphur | Hannibal |
---|---|---|
Population | 20,342 | 16,938 |
Median Age | 38.9 years | 38.5 years |
Median Income | $53,606 | $52,746 |
Married Families | 36.0% | 35.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Sulphur vs Hannibal
- In Sulphur, the population is higher at 20,342, compared to 16,938 in Hannibal.
- Residents in Sulphur have a higher median age of 38.9 years compared to 38.5 years in Hannibal.
- Sulphur has a higher median income of $53,606 compared to $52,746 in Hannibal.
- A higher percentage of married families is found in Sulphur at 36.0% compared to 35.0% in Hannibal.
- Sulphur has a higher poverty level at 15% compared to 12% in Hannibal.
- The unemployment rate in Sulphur is higher at 4.2%, compared to 3.5% in Hannibal.
Demographics
Demographics Sulphur vs Hannibal provide insight into the diversity of the communities to compare.
Demographic | Sulphur | Hannibal |
---|---|---|
Black | 9 | 8 |
White | 83 | 87 |
Asian | 1 | 1 |
Hispanic | 5 | 1 |
Two or More Races | 2 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sulphur vs Hannibal
- A higher percentage of Black residents are in Sulphur at 9% compared to 8% in Hannibal.
- The percentage of White residents is higher in Hannibal at 87% compared to 83% in Sulphur.
- Both Sulphur and Hannibal have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Sulphur at 5% compared to 1% in Hannibal.
- The percentage of residents identifying as two or more races is higher in Hannibal at 3%, compared to 2% in Sulphur.
- The percentage of American Indian residents is the same in both Sulphur and Hannibal at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sulphur | Hannibal |
---|---|---|
Mental Health Not Good | 19.6% | 19.3% |
Physical Health Not Good | 12.4% | 14.1% |
Depression | 28.7% | 25.4% |
Smoking | 21.3% | 23.7% |
Binge Drinking | 20.6% | 17.8% |
Obesity | 37.3% | 42.0% |
Disability Percentage | 16.0% | 17.0% |
Health Statistics Comparison: Sulphur vs Hannibal
- More residents in Sulphur report poor mental health at 19.6% compared to 19.3% in Hannibal.
- Depression is more prevalent in Sulphur at 28.7% compared to 25.4% in Hannibal.
- Hannibal has a higher smoking rate at 23.7% compared to 21.3% in Sulphur.
- Binge drinking is more common in Sulphur at 20.6% compared to 17.8% in Hannibal.
- Hannibal has higher obesity rates at 42.0% compared to 37.3% in Sulphur.
- There is a higher percentage of disabled individuals in Hannibal at 17.0% compared to 16.0% in Sulphur.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sulphur | Hannibal |
---|---|---|
No Schooling | 0.5% (93) | 1.1% (183) |
High School Diploma | 24.2% (4,925) | 22.3% (3,780) |
Less than High School | 19.3% (3,918) | 15.6% (2,643) |
Bachelor's Degree and Higher | 11.7% (2,384) | 15.0% (2,536) |
Education Levels Comparison: Sulphur vs Hannibal
- In Hannibal, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Sulphur.
- A higher percentage of residents in Sulphur hold a high school diploma at 24.2% compared to 22.3% in Hannibal.
- More residents in Sulphur have less than a high school education at 19.3% 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 11.7% in Sulphur.
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.