Demographics details for Villa ridge, MO vs Banning, CA
Population Overview
Compare main population characteristics in Villa ridge, MO vs Banning, CA.
| Data | Villa ridge | Banning |
|---|---|---|
| Population | 2,971 | 30,683 |
| Median Age | 35.0 years | 42.8 years |
| Median Income | $71,750 | $54,083 |
| Married Families | 37.0% | 35.0% |
| Poverty Level | 8% | 14% |
| Unemployment Rate | 2.5 | 6.5 |
Population Comparison: Villa ridge vs Banning
- The population in Banning is higher at 30,683, compared to 2,971 in Villa ridge.
- The median age in Banning is higher at 42.8 years, compared to 35.0 years in Villa ridge.
- Villa ridge has a higher median income of $71,750 compared to $54,083 in Banning.
- A higher percentage of married families is found in Villa ridge at 37.0% compared to 35.0% in Banning.
- The poverty level is higher in Banning at 14%, compared to 8% in Villa ridge.
- Banning has a higher unemployment rate at 6.5% compared to 2.5% in Villa ridge.
Demographics
Demographics Villa ridge vs Banning provide insight into the diversity of the communities to compare.
| Demographic | Villa ridge | Banning |
|---|---|---|
| Black | 1 | 7 |
| White | 92 | 21 |
| Asian | Data is updating | 5 |
| Hispanic | 4 | 48 |
| Two or More Races | 3 | 17 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Villa ridge vs Banning
- In Banning, the percentage of Black residents is higher at 7% compared to 1% in Villa ridge.
- Villa ridge has a higher percentage of White residents at 92% compared to 21% in Banning.
- In Banning, the Asian population stands at 5%, greater than 0% in Villa ridge.
- Banning has a higher percentage of Hispanic residents at 48%, compared to 4% in Villa ridge.
- The percentage of residents identifying as two or more races is higher in Banning at 17%, compared to 3% in Villa ridge.
- In Banning, the percentage of American Indian residents is higher at 2%, compared to 0% in Villa ridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Villa ridge | Banning |
|---|---|---|
| Mental Health Not Good | 16.3% | 18.1% |
| Physical Health Not Good | 10.5% | 13.9% |
| Depression | 24.2% | 18.5% |
| Smoking | 17.2% | 17.2% |
| Binge Drinking | 19.7% | 15.2% |
| Obesity | 36.2% | 39.1% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Villa ridge vs Banning
- In Banning, a higher percentage report poor mental health at 18.1% compared to 16.3% in Villa ridge.
- Depression is more prevalent in Villa ridge at 24.2% compared to 18.5% in Banning.
- Smoking rates are the same in both Villa ridge and Banning at 17.2%.
- Binge drinking is more common in Villa ridge at 19.7% compared to 15.2% in Banning.
- Banning has higher obesity rates at 39.1% compared to 36.2% in Villa ridge.
- There is a higher percentage of disabled individuals in Banning at 20.0% compared to 13.0% in Villa ridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Villa ridge | Banning |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.4% (749) |
| High School Diploma | 18.6% (554) | 18.4% (5,655) |
| Less than High School | 8.8% (261) | 21.9% (6,720) |
| Bachelor's Degree and Higher | 10.6% (316) | 11.4% (3,495) |
Education Levels Comparison: Villa ridge vs Banning
- In Banning, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Villa ridge.
- A higher percentage of residents in Villa ridge hold a high school diploma at 18.6% compared to 18.4% in Banning.
- The percentage of residents with less than a high school education is higher in Banning at 21.9%, compared to 8.8% in Villa ridge.
- In Banning, a larger share of residents have a bachelor's degree or higher at 11.4% compared to 10.6% in Villa ridge.
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.