Demographics details for Bixby, OK vs Spanish fork, UT
Population Overview
Compare main population characteristics in Bixby, OK vs Spanish fork, UT.
| Data | Bixby | Spanish fork |
|---|---|---|
| Population | 29,800 | 44,102 |
| Median Age | 36.8 years | 27.4 years |
| Median Income | $93,765 | $93,989 |
| Married Families | 44.0% | 43.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 3.3 | 3.8 |
Population Comparison: Bixby vs Spanish fork
- The population in Spanish fork is higher at 44,102, compared to 29,800 in Bixby.
- Residents in Bixby have a higher median age of 36.8 years compared to 27.4 years in Spanish fork.
- Spanish fork has a higher median income of $93,989, compared to $93,765 in Bixby.
- A higher percentage of married families is found in Bixby at 44.0% compared to 43.0% in Spanish fork.
- The poverty level is higher in Spanish fork at 6%, compared to 5% in Bixby.
- Spanish fork has a higher unemployment rate at 3.8% compared to 3.3% in Bixby.
Demographics
Demographics Bixby vs Spanish fork provide insight into the diversity of the communities to compare.
| Demographic | Bixby | Spanish fork |
|---|---|---|
| Black | 2 | 1 |
| White | 71 | 80 |
| Asian | 4 | Data is updating |
| Hispanic | 7 | 12 |
| Two or More Races | 11 | 7 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Bixby vs Spanish fork
- A higher percentage of Black residents are in Bixby at 2% compared to 1% in Spanish fork.
- The percentage of White residents is higher in Spanish fork at 80% compared to 71% in Bixby.
- The Asian population is larger in Bixby at 4% compared to 0% in Spanish fork.
- Spanish fork has a higher percentage of Hispanic residents at 12%, compared to 7% in Bixby.
- More residents identify as two or more races in Bixby at 11% compared to 7% in Spanish fork.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 0% in Spanish fork.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bixby | Spanish fork |
|---|---|---|
| Mental Health Not Good | 15.8% | 15.0% |
| Physical Health Not Good | 9.2% | 10.8% |
| Depression | 24.5% | 23.8% |
| Smoking | 12.8% | 7.7% |
| Binge Drinking | 15.7% | 8.3% |
| Obesity | 32.1% | 31.0% |
| Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Bixby vs Spanish fork
- More residents in Bixby report poor mental health at 15.8% compared to 15.0% in Spanish fork.
- Depression is more prevalent in Bixby at 24.5% compared to 23.8% in Spanish fork.
- Smoking is more prevalent in Bixby at 12.8% compared to 7.7% in Spanish fork.
- Binge drinking is more common in Bixby at 15.7% compared to 8.3% in Spanish fork.
- Obesity rates are higher in Bixby at 32.1% compared to 31.0% in Spanish fork.
- Disability percentages are the same in both Bixby and Spanish fork at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bixby | Spanish fork |
|---|---|---|
| No Schooling | 0.5% (154) | 0.4% (175) |
| High School Diploma | 10.8% (3,233) | 9.1% (4,010) |
| Less than High School | 5.5% (1,652) | 5.9% (2,583) |
| Bachelor's Degree and Higher | 27.9% (8,313) | 19.4% (8,546) |
Education Levels Comparison: Bixby vs Spanish fork
- A higher percentage of residents in Bixby have no formal schooling at 0.5% compared to 0.4% in Spanish fork.
- A higher percentage of residents in Bixby hold a high school diploma at 10.8% compared to 9.1% in Spanish fork.
- The percentage of residents with less than a high school education is higher in Spanish fork at 5.9%, 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 19.4% in Spanish fork.
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.