Demographics details for Syracuse, NY vs Bixby, OK
Population Overview
Compare main population characteristics in Syracuse, NY vs Bixby, OK.
| Data | Syracuse | Bixby |
|---|---|---|
| Population | 144,451 | 29,800 |
| Median Age | 31.9 years | 36.8 years |
| Median Income | $43,584 | $93,765 |
| Married Families | 22.0% | 44.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 5.1 | 3.3 |
Population Comparison: Syracuse vs Bixby
- In Syracuse, the population is higher at 144,451, compared to 29,800 in Bixby.
- The median age in Bixby is higher at 36.8 years, compared to 31.9 years in Syracuse.
- Bixby has a higher median income of $93,765, compared to $43,584 in Syracuse.
- In Bixby, the percentage of married families is higher at 44.0%, compared to 22.0% in Syracuse.
- The poverty level is higher in Bixby at 5%, compared to 0% in Syracuse.
- The unemployment rate in Syracuse is higher at 5.1%, compared to 3.3% in Bixby.
Demographics
Demographics Syracuse vs Bixby provide insight into the diversity of the communities to compare.
| Demographic | Syracuse | Bixby |
|---|---|---|
| Black | 29 | 2 |
| White | 45 | 71 |
| Asian | 7 | 4 |
| Hispanic | 10 | 7 |
| Two or More Races | 8 | 11 |
| American Indian | 1 | 5 |
Demographics Comparison: Syracuse vs Bixby
- A higher percentage of Black residents are in Syracuse at 29% compared to 2% in Bixby.
- The percentage of White residents is higher in Bixby at 71% compared to 45% in Syracuse.
- The Asian population is larger in Syracuse at 7% compared to 4% in Bixby.
- The Hispanic community is larger in Syracuse at 10% compared to 7% in Bixby.
- The percentage of residents identifying as two or more races is higher in Bixby at 11%, compared to 8% in Syracuse.
- In Bixby, the percentage of American Indian residents is higher at 5%, compared to 1% in Syracuse.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Syracuse | Bixby |
|---|---|---|
| Mental Health Not Good | 20.3% | 15.8% |
| Physical Health Not Good | 15.0% | 9.2% |
| Depression | 26.9% | 24.5% |
| Smoking | 26.9% | 12.8% |
| Binge Drinking | 14.0% | 15.7% |
| Obesity | 42.6% | 32.1% |
| Disability Percentage | 16.0% | 8.0% |
Health Statistics Comparison: Syracuse vs Bixby
- More residents in Syracuse report poor mental health at 20.3% compared to 15.8% in Bixby.
- Depression is more prevalent in Syracuse at 26.9% compared to 24.5% in Bixby.
- Smoking is more prevalent in Syracuse at 26.9% compared to 12.8% in Bixby.
- More residents engage in binge drinking in Bixby at 15.7% compared to 14.0% in Syracuse.
- Obesity rates are higher in Syracuse at 42.6% compared to 32.1% in Bixby.
- Disability percentages are higher in Syracuse at 16.0% 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 | Syracuse | Bixby |
|---|---|---|
| No Schooling | 1.8% (2,595) | 0.5% (154) |
| High School Diploma | 12.7% (18,391) | 10.8% (3,233) |
| Less than High School | 14.1% (20,347) | 5.5% (1,652) |
| Bachelor's Degree and Higher | 18.5% (26,759) | 27.9% (8,313) |
Education Levels Comparison: Syracuse vs Bixby
- A higher percentage of residents in Syracuse have no formal schooling at 1.8% compared to 0.5% in Bixby.
- A higher percentage of residents in Syracuse hold a high school diploma at 12.7% compared to 10.8% in Bixby.
- More residents in Syracuse have less than a high school education at 14.1% compared to 5.5% in Bixby.
- In Bixby, a larger share of residents have a bachelor's degree or higher at 27.9% compared to 18.5% in Syracuse.
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.