Demographics details for Tacoma, WA vs Hannibal, MO
Population Overview
Compare main population characteristics in Tacoma, WA vs Hannibal, MO.
| Data | Tacoma | Hannibal |
|---|---|---|
| Population | 221,776 | 16,938 |
| Median Age | 36.9 years | 38.5 years |
| Median Income | $79,085 | $52,746 |
| Married Families | 36.0% | 35.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 4.9 | 3.5 |
Population Comparison: Tacoma vs Hannibal
- In Tacoma, the population is higher at 221,776, compared to 16,938 in Hannibal.
- The median age in Hannibal is higher at 38.5 years, compared to 36.9 years in Tacoma.
- Tacoma has a higher median income of $79,085 compared to $52,746 in Hannibal.
- A higher percentage of married families is found in Tacoma at 36.0% compared to 35.0% in Hannibal.
- The poverty level is higher in Hannibal at 12%, compared to 11% in Tacoma.
- The unemployment rate in Tacoma is higher at 4.9%, compared to 3.5% in Hannibal.
Demographics
Demographics Tacoma vs Hannibal provide insight into the diversity of the communities to compare.
| Demographic | Tacoma | Hannibal |
|---|---|---|
| Black | 11 | 8 |
| White | 53 | 87 |
| Asian | 9 | 1 |
| Hispanic | 12 | 1 |
| Two or More Races | 13 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Tacoma vs Hannibal
- A higher percentage of Black residents are in Tacoma at 11% compared to 8% in Hannibal.
- The percentage of White residents is higher in Hannibal at 87% compared to 53% in Tacoma.
- The Asian population is larger in Tacoma at 9% compared to 1% in Hannibal.
- The Hispanic community is larger in Tacoma at 12% compared to 1% in Hannibal.
- More residents identify as two or more races in Tacoma at 13% compared to 3% in Hannibal.
- A greater percentage of American Indian residents live in Tacoma at 2% compared to 0% in Hannibal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tacoma | Hannibal |
|---|---|---|
| Mental Health Not Good | 18.9% | 19.3% |
| Physical Health Not Good | 11.9% | 14.1% |
| Depression | 26.2% | 25.4% |
| Smoking | 15.4% | 23.7% |
| Binge Drinking | 16.2% | 17.8% |
| Obesity | 34.6% | 42.0% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Tacoma vs Hannibal
- In Hannibal, a higher percentage report poor mental health at 19.3% compared to 18.9% in Tacoma.
- Depression is more prevalent in Tacoma at 26.2% compared to 25.4% in Hannibal.
- Hannibal has a higher smoking rate at 23.7% compared to 15.4% in Tacoma.
- More residents engage in binge drinking in Hannibal at 17.8% compared to 16.2% in Tacoma.
- Hannibal has higher obesity rates at 42.0% compared to 34.6% in Tacoma.
- There is a higher percentage of disabled individuals in Hannibal at 17.0% compared to 14.0% in Tacoma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tacoma | Hannibal |
|---|---|---|
| No Schooling | 1.6% (3,474) | 1.1% (183) |
| High School Diploma | 14.2% (31,504) | 22.3% (3,780) |
| Less than High School | 10.1% (22,501) | 15.6% (2,643) |
| Bachelor's Degree and Higher | 23.0% (50,913) | 15.0% (2,536) |
Education Levels Comparison: Tacoma vs Hannibal
- A higher percentage of residents in Tacoma have no formal schooling at 1.6% compared to 1.1% in Hannibal.
- In Hannibal, the rate of residents with high school diplomas is higher at 22.3% compared to 14.2% in Tacoma.
- The percentage of residents with less than a high school education is higher in Hannibal at 15.6%, compared to 10.1% in Tacoma.
- A higher percentage of residents in Tacoma hold a bachelor's degree or higher at 23.0% 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.