Demographics details for Bixby, OK vs Redwood city, CA
Population Overview
Compare main population characteristics in Bixby, OK vs Redwood city, CA.
| Data | Bixby | Redwood city |
|---|---|---|
| Population | 29,800 | 80,512 |
| Median Age | 36.8 years | 37.1 years |
| Median Income | $93,765 | $145,620 |
| Married Families | 44.0% | 45.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.3 | 3.4 |
Population Comparison: Bixby vs Redwood city
- The population in Redwood city is higher at 80,512, compared to 29,800 in Bixby.
- The median age in Redwood city is higher at 37.1 years, compared to 36.8 years in Bixby.
- Redwood city has a higher median income of $145,620, compared to $93,765 in Bixby.
- In Redwood city, the percentage of married families is higher at 45.0%, compared to 44.0% in Bixby.
- The poverty level is higher in Redwood city at 9%, compared to 5% in Bixby.
- Redwood city has a higher unemployment rate at 3.4% compared to 3.3% in Bixby.
Demographics
Demographics Bixby vs Redwood city provide insight into the diversity of the communities to compare.
| Demographic | Bixby | Redwood city |
|---|---|---|
| Black | 2 | 2 |
| White | 71 | 28 |
| Asian | 4 | 17 |
| Hispanic | 7 | 37 |
| Two or More Races | 11 | 14 |
| American Indian | 5 | 2 |
Demographics Comparison: Bixby vs Redwood city
- The percentage of Black residents is the same in both Bixby and Redwood city at 2%.
- Bixby has a higher percentage of White residents at 71% compared to 28% in Redwood city.
- In Redwood city, the Asian population stands at 17%, greater than 4% in Bixby.
- Redwood city has a higher percentage of Hispanic residents at 37%, compared to 7% in Bixby.
- The percentage of residents identifying as two or more races is higher in Redwood city at 14%, compared to 11% in Bixby.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 2% in Redwood city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bixby | Redwood city |
|---|---|---|
| Mental Health Not Good | 15.8% | 13.7% |
| Physical Health Not Good | 9.2% | 9.1% |
| Depression | 24.5% | 16.1% |
| Smoking | 12.8% | 9.2% |
| Binge Drinking | 15.7% | 16.6% |
| Obesity | 32.1% | 24.6% |
| Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Bixby vs Redwood city
- More residents in Bixby report poor mental health at 15.8% compared to 13.7% in Redwood city.
- Depression is more prevalent in Bixby at 24.5% compared to 16.1% in Redwood city.
- Smoking is more prevalent in Bixby at 12.8% compared to 9.2% in Redwood city.
- More residents engage in binge drinking in Redwood city at 16.6% compared to 15.7% in Bixby.
- Obesity rates are higher in Bixby at 32.1% compared to 24.6% in Redwood city.
- Disability percentages are the same in both Bixby and Redwood city at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bixby | Redwood city |
|---|---|---|
| No Schooling | 0.5% (154) | 2.1% (1,692) |
| High School Diploma | 10.8% (3,233) | 10.3% (8,332) |
| Less than High School | 5.5% (1,652) | 16.0% (12,887) |
| Bachelor's Degree and Higher | 27.9% (8,313) | 39.1% (31,469) |
Education Levels Comparison: Bixby vs Redwood city
- In Redwood city, a larger percentage of residents lack formal schooling at 2.1% compared to 0.5% in Bixby.
- A higher percentage of residents in Bixby hold a high school diploma at 10.8% compared to 10.3% in Redwood city.
- The percentage of residents with less than a high school education is higher in Redwood city at 16.0%, compared to 5.5% in Bixby.
- In Redwood city, a larger share of residents have a bachelor's degree or higher at 39.1% compared to 27.9% in Bixby.
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.