Demographics details for Garfield, WA vs Banning, CA
Population Overview
Compare main population characteristics in Garfield, WA vs Banning, CA.
| Data | Garfield | Banning |
|---|---|---|
| Population | 2,363 | 30,683 |
| Median Age | 49.9 years | 42.8 years |
| Median Income | $57,958 | $54,083 |
| Married Families | 57.0% | 35.0% |
| Poverty Level | Data is updating | 14% |
| Unemployment Rate | 4.4 | 6.5 |
Population Comparison: Garfield vs Banning
- The population in Banning is higher at 30,683, compared to 2,363 in Garfield.
- Residents in Garfield have a higher median age of 49.9 years compared to 42.8 years in Banning.
- Garfield has a higher median income of $57,958 compared to $54,083 in Banning.
- A higher percentage of married families is found in Garfield at 57.0% compared to 35.0% in Banning.
- The poverty level is higher in Banning at 14%, compared to 0% in Garfield.
- Banning has a higher unemployment rate at 6.5% compared to 4.4% in Garfield.
Demographics
Demographics Garfield vs Banning provide insight into the diversity of the communities to compare.
| Demographic | Garfield | Banning |
|---|---|---|
| Black | 1 | 7 |
| White | 88 | 21 |
| Asian | 1 | 5 |
| Hispanic | 4 | 48 |
| Two or More Races | 6 | 17 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Garfield vs Banning
- In Banning, the percentage of Black residents is higher at 7% compared to 1% in Garfield.
- Garfield has a higher percentage of White residents at 88% compared to 21% in Banning.
- In Banning, the Asian population stands at 5%, greater than 1% in Garfield.
- Banning has a higher percentage of Hispanic residents at 48%, compared to 4% in Garfield.
- The percentage of residents identifying as two or more races is higher in Banning at 17%, compared to 6% in Garfield.
- In Banning, the percentage of American Indian residents is higher at 2%, compared to 0% in Garfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Garfield | Banning |
|---|---|---|
| Mental Health Not Good | 17.2% | 18.1% |
| Physical Health Not Good | 11.0% | 13.9% |
| Depression | 28.7% | 18.5% |
| Smoking | 14.6% | 17.2% |
| Binge Drinking | 18.2% | 15.2% |
| Obesity | 40.3% | 39.1% |
| Disability Percentage | 23.0% | 20.0% |
Health Statistics Comparison: Garfield vs Banning
- In Banning, a higher percentage report poor mental health at 18.1% compared to 17.2% in Garfield.
- Depression is more prevalent in Garfield at 28.7% compared to 18.5% in Banning.
- Banning has a higher smoking rate at 17.2% compared to 14.6% in Garfield.
- Binge drinking is more common in Garfield at 18.2% compared to 15.2% in Banning.
- Obesity rates are higher in Garfield at 40.3% compared to 39.1% in Banning.
- Disability percentages are higher in Garfield at 23.0% compared to 20.0% in Banning.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Garfield | Banning |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.4% (749) |
| High School Diploma | 15.7% (371) | 18.4% (5,655) |
| Less than High School | 10.2% (242) | 21.9% (6,720) |
| Bachelor's Degree and Higher | 19.4% (458) | 11.4% (3,495) |
Education Levels Comparison: Garfield vs Banning
- In Banning, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Garfield.
- In Banning, the rate of residents with high school diplomas is higher at 18.4% compared to 15.7% in Garfield.
- The percentage of residents with less than a high school education is higher in Banning at 21.9%, compared to 10.2% in Garfield.
- A higher percentage of residents in Garfield hold a bachelor's degree or higher at 19.4% compared to 11.4% in Banning.
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.