Demographics details for Hannibal, MO vs South gate, CA
Population Overview
Compare main population characteristics in Hannibal, MO vs South gate, CA.
Data | Hannibal | South gate |
---|---|---|
Population | 16,938 | 90,926 |
Median Age | 38.5 years | 33.7 years |
Median Income | $52,746 | $67,188 |
Married Families | 35.0% | 34.0% |
Poverty Level | 12% | 18% |
Unemployment Rate | 3.5 | 6.1 |
Population Comparison: Hannibal vs South gate
- The population in South gate is higher at 90,926, compared to 16,938 in Hannibal.
- Residents in Hannibal have a higher median age of 38.5 years compared to 33.7 years in South gate.
- South gate has a higher median income of $67,188, compared to $52,746 in Hannibal.
- A higher percentage of married families is found in Hannibal at 35.0% compared to 34.0% in South gate.
- The poverty level is higher in South gate at 18%, compared to 12% in Hannibal.
- South gate has a higher unemployment rate at 6.1% compared to 3.5% in Hannibal.
Demographics
Demographics Hannibal vs South gate provide insight into the diversity of the communities to compare.
Demographic | Hannibal | South gate |
---|---|---|
Black | 8 | 1 |
White | 87 | -21 |
Asian | 1 | 1 |
Hispanic | 1 | 97 |
Two or More Races | 3 | 21 |
American Indian | Data is updating | 1 |
Demographics Comparison: Hannibal vs South gate
- A higher percentage of Black residents are in Hannibal at 8% compared to 1% in South gate.
- Hannibal has a higher percentage of White residents at 87% compared to -21% in South gate.
- Both Hannibal and South gate have the same percentage of Asian residents at 1%.
- South gate has a higher percentage of Hispanic residents at 97%, compared to 1% in Hannibal.
- The percentage of residents identifying as two or more races is higher in South gate at 21%, compared to 3% in Hannibal.
- In South gate, the percentage of American Indian residents is higher at 1%, compared to 0% in Hannibal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hannibal | South gate |
---|---|---|
Mental Health Not Good | 19.3% | 16.8% |
Physical Health Not Good | 14.1% | 14.9% |
Depression | 25.4% | 16.3% |
Smoking | 23.7% | 12.7% |
Binge Drinking | 17.8% | 14.5% |
Obesity | 42.0% | 34.1% |
Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Hannibal vs South gate
- More residents in Hannibal report poor mental health at 19.3% compared to 16.8% in South gate.
- Depression is more prevalent in Hannibal at 25.4% compared to 16.3% in South gate.
- Smoking is more prevalent in Hannibal at 23.7% compared to 12.7% in South gate.
- Binge drinking is more common in Hannibal at 17.8% compared to 14.5% in South gate.
- Obesity rates are higher in Hannibal at 42.0% compared to 34.1% in South gate.
- Disability percentages are higher in Hannibal at 17.0% compared to 9.0% in South gate.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hannibal | South gate |
---|---|---|
No Schooling | 1.1% (183) | 4.6% (4,160) |
High School Diploma | 22.3% (3,780) | 14.9% (13,536) |
Less than High School | 15.6% (2,643) | 53.3% (48,481) |
Bachelor's Degree and Higher | 15.0% (2,536) | 7.5% (6,822) |
Education Levels Comparison: Hannibal vs South gate
- In South gate, a larger percentage of residents lack formal schooling at 4.6% compared to 1.1% in Hannibal.
- A higher percentage of residents in Hannibal hold a high school diploma at 22.3% compared to 14.9% in South gate.
- The percentage of residents with less than a high school education is higher in South gate at 53.3%, compared to 15.6% in Hannibal.
- A higher percentage of residents in Hannibal hold a bachelor's degree or higher at 15.0% compared to 7.5% in South gate.
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.