Demographics details for Bixby, OK vs Saint marys, WV
Population Overview
Compare main population characteristics in Bixby, OK vs Saint marys, WV.
| Data | Bixby | Saint marys |
|---|---|---|
| Population | 29,800 | 1,808 |
| Median Age | 36.8 years | 40.5 years |
| Median Income | $93,765 | $53,125 |
| Married Families | 44.0% | 52.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 3.3 | 4.3 |
Population Comparison: Bixby vs Saint marys
- In Bixby, the population is higher at 29,800, compared to 1,808 in Saint marys.
- The median age in Saint marys is higher at 40.5 years, compared to 36.8 years in Bixby.
- Bixby has a higher median income of $93,765 compared to $53,125 in Saint marys.
- In Saint marys, the percentage of married families is higher at 52.0%, compared to 44.0% in Bixby.
- The poverty level is higher in Saint marys at 11%, compared to 5% in Bixby.
- Saint marys has a higher unemployment rate at 4.3% compared to 3.3% in Bixby.
Demographics
Demographics Bixby vs Saint marys provide insight into the diversity of the communities to compare.
| Demographic | Bixby | Saint marys |
|---|---|---|
| Black | 2 | Data is updating |
| White | 71 | 91 |
| Asian | 4 | Data is updating |
| Hispanic | 7 | 4 |
| Two or More Races | 11 | 5 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Bixby vs Saint marys
- A higher percentage of Black residents are in Bixby at 2% compared to 0% in Saint marys.
- The percentage of White residents is higher in Saint marys at 91% compared to 71% in Bixby.
- The Asian population is larger in Bixby at 4% compared to 0% in Saint marys.
- The Hispanic community is larger in Bixby at 7% compared to 4% in Saint marys.
- More residents identify as two or more races in Bixby at 11% compared to 5% in Saint marys.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 0% in Saint marys.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bixby | Saint marys |
|---|---|---|
| Mental Health Not Good | 15.8% | 20.2% |
| Physical Health Not Good | 9.2% | 14.0% |
| Depression | 24.5% | 28.5% |
| Smoking | 12.8% | 22.0% |
| Binge Drinking | 15.7% | 14.5% |
| Obesity | 32.1% | 44.3% |
| Disability Percentage | 8.0% | 21.0% |
Health Statistics Comparison: Bixby vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 20.2% compared to 15.8% in Bixby.
- Higher depression rates are seen in Saint marys at 28.5% versus 24.5% in Bixby.
- Saint marys has a higher smoking rate at 22.0% compared to 12.8% in Bixby.
- Binge drinking is more common in Bixby at 15.7% compared to 14.5% in Saint marys.
- Saint marys has higher obesity rates at 44.3% compared to 32.1% in Bixby.
- There is a higher percentage of disabled individuals in Saint marys at 21.0% 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 | Saint marys |
|---|---|---|
| No Schooling | 0.5% (154) | 0.0% (Data is updating) |
| High School Diploma | 10.8% (3,233) | 34.4% (622) |
| Less than High School | 5.5% (1,652) | 15.7% (284) |
| Bachelor's Degree and Higher | 27.9% (8,313) | 15.0% (272) |
Education Levels Comparison: Bixby vs Saint marys
- A higher percentage of residents in Bixby have no formal schooling at 0.5% compared to 0.0% in Saint marys.
- In Saint marys, the rate of residents with high school diplomas is higher at 34.4% compared to 10.8% in Bixby.
- The percentage of residents with less than a high school education is higher in Saint marys at 15.7%, 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 15.0% in Saint marys.
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.