Demographics details for Bixby, OK vs Willow street, PA
Population Overview
Compare main population characteristics in Bixby, OK vs Willow street, PA.
| Data | Bixby | Willow street |
|---|---|---|
| Population | 29,800 | 9,640 |
| Median Age | 36.8 years | 52.8 years |
| Median Income | $93,765 | $100,727 |
| Married Families | 44.0% | 53.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.3 | 3.2 |
Population Comparison: Bixby vs Willow street
- In Bixby, the population is higher at 29,800, compared to 9,640 in Willow street.
- The median age in Willow street is higher at 52.8 years, compared to 36.8 years in Bixby.
- Willow street has a higher median income of $100,727, compared to $93,765 in Bixby.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 44.0% in Bixby.
- The poverty level is identical in both Bixby and Willow street at 5%.
- The unemployment rate in Bixby is higher at 3.3%, compared to 3.2% in Willow street.
Demographics
Demographics Bixby vs Willow street provide insight into the diversity of the communities to compare.
| Demographic | Bixby | Willow street |
|---|---|---|
| Black | 2 | 2 |
| White | 71 | 81 |
| Asian | 4 | 4 |
| Hispanic | 7 | 7 |
| Two or More Races | 11 | 5 |
| American Indian | 5 | 1 |
Demographics Comparison: Bixby vs Willow street
- The percentage of Black residents is the same in both Bixby and Willow street at 2%.
- The percentage of White residents is higher in Willow street at 81% compared to 71% in Bixby.
- Both Bixby and Willow street have the same percentage of Asian residents at 4%.
- The percentage of Hispanic residents is the same in both Bixby and Willow street at 7%.
- More residents identify as two or more races in Bixby at 11% compared to 5% in Willow street.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 1% in Willow street.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bixby | Willow street |
|---|---|---|
| Mental Health Not Good | 15.8% | 14.8% |
| Physical Health Not Good | 9.2% | 9.7% |
| Depression | 24.5% | 22.3% |
| Smoking | 12.8% | 14.9% |
| Binge Drinking | 15.7% | 18.7% |
| Obesity | 32.1% | 32.9% |
| Disability Percentage | 8.0% | 17.0% |
Health Statistics Comparison: Bixby vs Willow street
- More residents in Bixby report poor mental health at 15.8% compared to 14.8% in Willow street.
- Depression is more prevalent in Bixby at 24.5% compared to 22.3% in Willow street.
- Willow street has a higher smoking rate at 14.9% compared to 12.8% in Bixby.
- More residents engage in binge drinking in Willow street at 18.7% compared to 15.7% in Bixby.
- Willow street has higher obesity rates at 32.9% compared to 32.1% in Bixby.
- There is a higher percentage of disabled individuals in Willow street at 17.0% 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 | Willow street |
|---|---|---|
| No Schooling | 0.5% (154) | 0.3% (32) |
| High School Diploma | 10.8% (3,233) | 17.8% (1,717) |
| Less than High School | 5.5% (1,652) | 7.6% (734) |
| Bachelor's Degree and Higher | 27.9% (8,313) | 36.5% (3,517) |
Education Levels Comparison: Bixby vs Willow street
- A higher percentage of residents in Bixby have no formal schooling at 0.5% compared to 0.3% in Willow street.
- In Willow street, the rate of residents with high school diplomas is higher at 17.8% compared to 10.8% in Bixby.
- The percentage of residents with less than a high school education is higher in Willow street at 7.6%, compared to 5.5% in Bixby.
- In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% 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.