Demographics details for Banning, CA vs Tuscumbia, MO
Population Overview
Compare main population characteristics in Banning, CA vs Tuscumbia, MO.
| Data | Banning | Tuscumbia |
|---|---|---|
| Population | 30,683 | 190 |
| Median Age | 42.8 years | 40.4 years |
| Median Income | $54,083 | $44,375 |
| Married Families | 35.0% | 21.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 6.5 | 3.5 |
Population Comparison: Banning vs Tuscumbia
- In Banning, the population is higher at 30,683, compared to 190 in Tuscumbia.
- Residents in Banning have a higher median age of 42.8 years compared to 40.4 years in Tuscumbia.
- Banning has a higher median income of $54,083 compared to $44,375 in Tuscumbia.
- A higher percentage of married families is found in Banning at 35.0% compared to 21.0% in Tuscumbia.
- Banning has a higher poverty level at 14% compared to 10% in Tuscumbia.
- The unemployment rate in Banning is higher at 6.5%, compared to 3.5% in Tuscumbia.
Demographics
Demographics Banning vs Tuscumbia provide insight into the diversity of the communities to compare.
| Demographic | Banning | Tuscumbia |
|---|---|---|
| Black | 7 | 17 |
| White | 21 | 78 |
| Asian | 5 | 2 |
| Hispanic | 48 | 3 |
| Two or More Races | 17 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Banning vs Tuscumbia
- In Tuscumbia, the percentage of Black residents is higher at 17% compared to 7% in Banning.
- The percentage of White residents is higher in Tuscumbia at 78% compared to 21% in Banning.
- The Asian population is larger in Banning at 5% compared to 2% in Tuscumbia.
- The Hispanic community is larger in Banning at 48% compared to 3% in Tuscumbia.
- More residents identify as two or more races in Banning at 17% compared to 0% in Tuscumbia.
- A greater percentage of American Indian residents live in Banning at 2% compared to 0% in Tuscumbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Banning | Tuscumbia |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.2% |
| Physical Health Not Good | 13.9% | 13.1% |
| Depression | 18.5% | 22.2% |
| Smoking | 17.2% | 22.5% |
| Binge Drinking | 15.2% | 19.5% |
| Obesity | 39.1% | 40.0% |
| Disability Percentage | 20.0% | 9.0% |
Health Statistics Comparison: Banning vs Tuscumbia
- More residents in Banning report poor mental health at 18.1% compared to 17.2% in Tuscumbia.
- Higher depression rates are seen in Tuscumbia at 22.2% versus 18.5% in Banning.
- Tuscumbia has a higher smoking rate at 22.5% compared to 17.2% in Banning.
- More residents engage in binge drinking in Tuscumbia at 19.5% compared to 15.2% in Banning.
- Tuscumbia has higher obesity rates at 40.0% compared to 39.1% in Banning.
- Disability percentages are higher in Banning at 20.0% compared to 9.0% in Tuscumbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Banning | Tuscumbia |
|---|---|---|
| No Schooling | 2.4% (749) | 0.0% (Data is updating) |
| High School Diploma | 18.4% (5,655) | 17.4% (33) |
| Less than High School | 21.9% (6,720) | 18.9% (36) |
| Bachelor's Degree and Higher | 11.4% (3,495) | 4.7% (9) |
Education Levels Comparison: Banning vs Tuscumbia
- A higher percentage of residents in Banning have no formal schooling at 2.4% compared to 0.0% in Tuscumbia.
- A higher percentage of residents in Banning hold a high school diploma at 18.4% compared to 17.4% in Tuscumbia.
- More residents in Banning have less than a high school education at 21.9% compared to 18.9% in Tuscumbia.
- A higher percentage of residents in Banning hold a bachelor's degree or higher at 11.4% compared to 4.7% in Tuscumbia.
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.