Demographics details for Bixby, OK vs Girdletree, MD
Population Overview
Compare main population characteristics in Bixby, OK vs Girdletree, MD.
| Data | Bixby | Girdletree |
|---|---|---|
| Population | 29,800 | 122 |
| Median Age | 36.8 years | 57.4 years |
| Median Income | $93,765 | $129,167 |
| Married Families | 44.0% | 50.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 3.3 | Data is updating |
Population Comparison: Bixby vs Girdletree
- In Bixby, the population is higher at 29,800, compared to 122 in Girdletree.
- The median age in Girdletree is higher at 57.4 years, compared to 36.8 years in Bixby.
- Girdletree has a higher median income of $129,167, compared to $93,765 in Bixby.
- In Girdletree, the percentage of married families is higher at 50.0%, compared to 44.0% in Bixby.
- Bixby has a higher poverty level at 5% compared to 0% in Girdletree.
- The unemployment rate in Bixby is higher at 3.3%, compared to 0.0% in Girdletree.
Demographics
Demographics Bixby vs Girdletree provide insight into the diversity of the communities to compare.
| Demographic | Bixby | Girdletree |
|---|---|---|
| Black | 2 | Data is updating |
| White | 71 | 89 |
| Asian | 4 | 11 |
| Hispanic | 7 | Data is updating |
| Two or More Races | 11 | Data is updating |
| American Indian | 5 | Data is updating |
Demographics Comparison: Bixby vs Girdletree
- A higher percentage of Black residents are in Bixby at 2% compared to 0% in Girdletree.
- The percentage of White residents is higher in Girdletree at 89% compared to 71% in Bixby.
- In Girdletree, the Asian population stands at 11%, greater than 4% in Bixby.
- The Hispanic community is larger in Bixby at 7% compared to 0% in Girdletree.
- More residents identify as two or more races in Bixby at 11% compared to 0% in Girdletree.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 0% in Girdletree.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bixby | Girdletree |
|---|---|---|
| Mental Health Not Good | 15.8% | 16.7% |
| Physical Health Not Good | 9.2% | 10.6% |
| Depression | 24.5% | 20.8% |
| Smoking | 12.8% | 18.7% |
| Binge Drinking | 15.7% | 18.8% |
| Obesity | 32.1% | 39.6% |
| Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Bixby vs Girdletree
- In Girdletree, a higher percentage report poor mental health at 16.7% compared to 15.8% in Bixby.
- Depression is more prevalent in Bixby at 24.5% compared to 20.8% in Girdletree.
- Girdletree has a higher smoking rate at 18.7% compared to 12.8% in Bixby.
- More residents engage in binge drinking in Girdletree at 18.8% compared to 15.7% in Bixby.
- Girdletree has higher obesity rates at 39.6% compared to 32.1% in Bixby.
- Disability percentages are the same in both Bixby and Girdletree at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bixby | Girdletree |
|---|---|---|
| No Schooling | 0.5% (154) | 0.0% (Data is updating) |
| High School Diploma | 10.8% (3,233) | 44.3% (54) |
| Less than High School | 5.5% (1,652) | 19.7% (24) |
| Bachelor's Degree and Higher | 27.9% (8,313) | 5.7% (7) |
Education Levels Comparison: Bixby vs Girdletree
- A higher percentage of residents in Bixby have no formal schooling at 0.5% compared to 0.0% in Girdletree.
- In Girdletree, the rate of residents with high school diplomas is higher at 44.3% compared to 10.8% in Bixby.
- The percentage of residents with less than a high school education is higher in Girdletree at 19.7%, 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 5.7% in Girdletree.
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.