Demographics details for Bixby, OK vs Warner robins, GA
Population Overview
Compare main population characteristics in Bixby, OK vs Warner robins, GA.
| Data | Bixby | Warner robins |
|---|---|---|
| Population | 29,800 | 82,175 |
| Median Age | 36.8 years | 32.4 years |
| Median Income | $93,765 | $63,678 |
| Married Families | 44.0% | 32.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.3 | 3.8 |
Population Comparison: Bixby vs Warner robins
- The population in Warner robins is higher at 82,175, compared to 29,800 in Bixby.
- Residents in Bixby have a higher median age of 36.8 years compared to 32.4 years in Warner robins.
- Bixby has a higher median income of $93,765 compared to $63,678 in Warner robins.
- A higher percentage of married families is found in Bixby at 44.0% compared to 32.0% in Warner robins.
- The poverty level is higher in Warner robins at 8%, compared to 5% in Bixby.
- Warner robins has a higher unemployment rate at 3.8% compared to 3.3% in Bixby.
Demographics
Demographics Bixby vs Warner robins provide insight into the diversity of the communities to compare.
| Demographic | Bixby | Warner robins |
|---|---|---|
| Black | 2 | 40 |
| White | 71 | 42 |
| Asian | 4 | 3 |
| Hispanic | 7 | 7 |
| Two or More Races | 11 | 7 |
| American Indian | 5 | 1 |
Demographics Comparison: Bixby vs Warner robins
- In Warner robins, the percentage of Black residents is higher at 40% compared to 2% in Bixby.
- Bixby has a higher percentage of White residents at 71% compared to 42% in Warner robins.
- The Asian population is larger in Bixby at 4% compared to 3% in Warner robins.
- The percentage of Hispanic residents is the same in both Bixby and Warner robins at 7%.
- More residents identify as two or more races in Bixby at 11% compared to 7% in Warner robins.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 1% in Warner robins.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bixby | Warner robins |
|---|---|---|
| Mental Health Not Good | 15.8% | 17.6% |
| Physical Health Not Good | 9.2% | 13.1% |
| Depression | 24.5% | 22.1% |
| Smoking | 12.8% | 18.6% |
| Binge Drinking | 15.7% | 15.9% |
| Obesity | 32.1% | 39.9% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Bixby vs Warner robins
- In Warner robins, a higher percentage report poor mental health at 17.6% compared to 15.8% in Bixby.
- Depression is more prevalent in Bixby at 24.5% compared to 22.1% in Warner robins.
- Warner robins has a higher smoking rate at 18.6% compared to 12.8% in Bixby.
- More residents engage in binge drinking in Warner robins at 15.9% compared to 15.7% in Bixby.
- Warner robins has higher obesity rates at 39.9% compared to 32.1% in Bixby.
- There is a higher percentage of disabled individuals in Warner robins at 12.0% compared to 8.0% in Bixby.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bixby | Warner robins |
|---|---|---|
| No Schooling | 0.5% (154) | 0.4% (335) |
| High School Diploma | 10.8% (3,233) | 14.9% (12,260) |
| Less than High School | 5.5% (1,652) | 7.0% (5,714) |
| Bachelor's Degree and Higher | 27.9% (8,313) | 19.2% (15,752) |
Education Levels Comparison: Bixby vs Warner robins
- A higher percentage of residents in Bixby have no formal schooling at 0.5% compared to 0.4% in Warner robins.
- In Warner robins, the rate of residents with high school diplomas is higher at 14.9% compared to 10.8% in Bixby.
- The percentage of residents with less than a high school education is higher in Warner robins at 7.0%, compared to 5.5% in Bixby.
- A higher percentage of residents in Bixby hold a bachelor's degree or higher at 27.9% compared to 19.2% in Warner robins.
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.