Demographics details for Blue ridge, GA vs Banning, CA
Population Overview
Compare main population characteristics in Blue ridge, GA vs Banning, CA.
| Data | Blue ridge | Banning |
|---|---|---|
| Population | 1,226 | 30,683 |
| Median Age | 47.3 years | 42.8 years |
| Median Income | $34,659 | $54,083 |
| Married Families | 42.0% | 35.0% |
| Poverty Level | 14% | 14% |
| Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Blue ridge vs Banning
- The population in Banning is higher at 30,683, compared to 1,226 in Blue ridge.
- Residents in Blue ridge have a higher median age of 47.3 years compared to 42.8 years in Banning.
- Banning has a higher median income of $54,083, compared to $34,659 in Blue ridge.
- A higher percentage of married families is found in Blue ridge at 42.0% compared to 35.0% in Banning.
- The poverty level is identical in both Blue ridge and Banning at 14%.
- Banning has a higher unemployment rate at 6.5% compared to 3.5% in Blue ridge.
Demographics
Demographics Blue ridge vs Banning provide insight into the diversity of the communities to compare.
| Demographic | Blue ridge | Banning |
|---|---|---|
| Black | 3 | 7 |
| White | 93 | 21 |
| Asian | Data is updating | 5 |
| Hispanic | 3 | 48 |
| Two or More Races | 1 | 17 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Blue ridge vs Banning
- In Banning, the percentage of Black residents is higher at 7% compared to 3% in Blue ridge.
- Blue ridge has a higher percentage of White residents at 93% compared to 21% in Banning.
- In Banning, the Asian population stands at 5%, greater than 0% in Blue ridge.
- Banning has a higher percentage of Hispanic residents at 48%, compared to 3% in Blue ridge.
- The percentage of residents identifying as two or more races is higher in Banning at 17%, compared to 1% in Blue ridge.
- In Banning, the percentage of American Indian residents is higher at 2%, compared to 0% in Blue ridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blue ridge | Banning |
|---|---|---|
| Mental Health Not Good | 17.5% | 18.1% |
| Physical Health Not Good | 12.4% | 13.9% |
| Depression | 23.5% | 18.5% |
| Smoking | 18.6% | 17.2% |
| Binge Drinking | 17.3% | 15.2% |
| Obesity | 32.9% | 39.1% |
| Disability Percentage | 27.0% | 20.0% |
Health Statistics Comparison: Blue ridge vs Banning
- In Banning, a higher percentage report poor mental health at 18.1% compared to 17.5% in Blue ridge.
- Depression is more prevalent in Blue ridge at 23.5% compared to 18.5% in Banning.
- Smoking is more prevalent in Blue ridge at 18.6% compared to 17.2% in Banning.
- Binge drinking is more common in Blue ridge at 17.3% compared to 15.2% in Banning.
- Banning has higher obesity rates at 39.1% compared to 32.9% in Blue ridge.
- Disability percentages are higher in Blue ridge at 27.0% 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 | Blue ridge | Banning |
|---|---|---|
| No Schooling | 3.5% (43) | 2.4% (749) |
| High School Diploma | 21.1% (259) | 18.4% (5,655) |
| Less than High School | 38.8% (476) | 21.9% (6,720) |
| Bachelor's Degree and Higher | 15.3% (187) | 11.4% (3,495) |
Education Levels Comparison: Blue ridge vs Banning
- A higher percentage of residents in Blue ridge have no formal schooling at 3.5% compared to 2.4% in Banning.
- A higher percentage of residents in Blue ridge hold a high school diploma at 21.1% compared to 18.4% in Banning.
- More residents in Blue ridge have less than a high school education at 38.8% compared to 21.9% in Banning.
- A higher percentage of residents in Blue ridge hold a bachelor's degree or higher at 15.3% 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.