Demographics details for Fort mill, SC vs Hannibal, MO
Population Overview
Compare main population characteristics in Fort mill, SC vs Hannibal, MO.
| Data | Fort mill | Hannibal |
|---|---|---|
| Population | 30,940 | 16,938 |
| Median Age | 36.7 years | 38.5 years |
| Median Income | $128,125 | $52,746 |
| Married Families | 37.0% | 35.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Fort mill vs Hannibal
- In Fort mill, the population is higher at 30,940, compared to 16,938 in Hannibal.
- The median age in Hannibal is higher at 38.5 years, compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125 compared to $52,746 in Hannibal.
- A higher percentage of married families is found in Fort mill at 37.0% compared to 35.0% in Hannibal.
- The poverty level is higher in Hannibal at 12%, compared to 5% in Fort mill.
- The unemployment rate in Fort mill is higher at 4.1%, compared to 3.5% in Hannibal.
Demographics
Demographics Fort mill vs Hannibal provide insight into the diversity of the communities to compare.
| Demographic | Fort mill | Hannibal |
|---|---|---|
| Black | 9 | 8 |
| White | 79 | 87 |
| Asian | 3 | 1 |
| Hispanic | 5 | 1 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fort mill vs Hannibal
- A higher percentage of Black residents are in Fort mill at 9% compared to 8% in Hannibal.
- The percentage of White residents is higher in Hannibal at 87% compared to 79% in Fort mill.
- The Asian population is larger in Fort mill at 3% compared to 1% in Hannibal.
- The Hispanic community is larger in Fort mill at 5% compared to 1% in Hannibal.
- More residents identify as two or more races in Fort mill at 4% compared to 3% in Hannibal.
- The percentage of American Indian residents is the same in both Fort mill and Hannibal at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort mill | Hannibal |
|---|---|---|
| Mental Health Not Good | 15.4% | 19.3% |
| Physical Health Not Good | 9.4% | 14.1% |
| Depression | 21.1% | 25.4% |
| Smoking | 12.3% | 23.7% |
| Binge Drinking | 18.3% | 17.8% |
| Obesity | 31.6% | 42.0% |
| Disability Percentage | 5.0% | 17.0% |
Health Statistics Comparison: Fort mill vs Hannibal
- In Hannibal, a higher percentage report poor mental health at 19.3% compared to 15.4% in Fort mill.
- Higher depression rates are seen in Hannibal at 25.4% versus 21.1% in Fort mill.
- Hannibal has a higher smoking rate at 23.7% compared to 12.3% in Fort mill.
- Binge drinking is more common in Fort mill at 18.3% compared to 17.8% in Hannibal.
- Hannibal has higher obesity rates at 42.0% compared to 31.6% in Fort mill.
- There is a higher percentage of disabled individuals in Hannibal at 17.0% compared to 5.0% in Fort mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fort mill | Hannibal |
|---|---|---|
| No Schooling | 0.3% (78) | 1.1% (183) |
| High School Diploma | 7.7% (2,372) | 22.3% (3,780) |
| Less than High School | 2.8% (879) | 15.6% (2,643) |
| Bachelor's Degree and Higher | 30.0% (9,271) | 15.0% (2,536) |
Education Levels Comparison: Fort mill vs Hannibal
- In Hannibal, a larger percentage of residents lack formal schooling at 1.1% compared to 0.3% in Fort mill.
- In Hannibal, the rate of residents with high school diplomas is higher at 22.3% compared to 7.7% in Fort mill.
- The percentage of residents with less than a high school education is higher in Hannibal at 15.6%, compared to 2.8% in Fort mill.
- A higher percentage of residents in Fort mill hold a bachelor's degree or higher at 30.0% 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.