Demographics details for Bixby, OK vs Enola, PA
Population Overview
Compare main population characteristics in Bixby, OK vs Enola, PA.
| Data | Bixby | Enola |
|---|---|---|
| Population | 29,800 | 6,111 |
| Median Age | 36.8 years | 37.0 years |
| Median Income | $93,765 | $65,000 |
| Married Families | 44.0% | 52.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.3 | 3.0 |
Population Comparison: Bixby vs Enola
- In Bixby, the population is higher at 29,800, compared to 6,111 in Enola.
- The median age in Enola is higher at 37.0 years, compared to 36.8 years in Bixby.
- Bixby has a higher median income of $93,765 compared to $65,000 in Enola.
- In Enola, the percentage of married families is higher at 52.0%, compared to 44.0% in Bixby.
- The poverty level is higher in Enola at 10%, compared to 5% in Bixby.
- The unemployment rate in Bixby is higher at 3.3%, compared to 3.0% in Enola.
Demographics
Demographics Bixby vs Enola provide insight into the diversity of the communities to compare.
| Demographic | Bixby | Enola |
|---|---|---|
| Black | 2 | 5 |
| White | 71 | 85 |
| Asian | 4 | 5 |
| Hispanic | 7 | 4 |
| Two or More Races | 11 | 1 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Bixby vs Enola
- In Enola, the percentage of Black residents is higher at 5% compared to 2% in Bixby.
- The percentage of White residents is higher in Enola at 85% compared to 71% in Bixby.
- In Enola, the Asian population stands at 5%, greater than 4% in Bixby.
- The Hispanic community is larger in Bixby at 7% compared to 4% in Enola.
- More residents identify as two or more races in Bixby at 11% compared to 1% in Enola.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 0% in Enola.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bixby | Enola |
|---|---|---|
| Mental Health Not Good | 15.8% | Data is updating% |
| Physical Health Not Good | 9.2% | Data is updating% |
| Depression | 24.5% | Data is updating% |
| Smoking | 12.8% | Data is updating% |
| Binge Drinking | 15.7% | Data is updating% |
| Obesity | 32.1% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Bixby vs Enola
- More residents in Bixby report poor mental health at 15.8% compared to 0.0% in Enola.
- Depression is more prevalent in Bixby at 24.5% compared to 0.0% in Enola.
- Smoking is more prevalent in Bixby at 12.8% compared to 0.0% in Enola.
- Binge drinking is more common in Bixby at 15.7% compared to 0.0% in Enola.
- Obesity rates are higher in Bixby at 32.1% compared to 0.0% in Enola.
- Disability percentages are higher in Bixby at 8.0% compared to 0.0% in Enola.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bixby | Enola |
|---|---|---|
| No Schooling | 0.5% (154) | 0.0% (Data is updating) |
| High School Diploma | 10.8% (3,233) | 0.0% (Data is updating) |
| Less than High School | 5.5% (1,652) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 27.9% (8,313) | 0.0% (Data is updating) |
Education Levels Comparison: Bixby vs Enola
- A higher percentage of residents in Bixby have no formal schooling at 0.5% compared to 0.0% in Enola.
- A higher percentage of residents in Bixby hold a high school diploma at 10.8% compared to 0.0% in Enola.
- More residents in Bixby have less than a high school education at 5.5% compared to 0.0% in Enola.
- A higher percentage of residents in Bixby hold a bachelor's degree or higher at 27.9% compared to 0.0% in Enola.
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.