Demographics details for Weehawken, NJ vs Bixby, OK
Population Overview
Compare main population characteristics in Weehawken, NJ vs Bixby, OK.
| Data | Weehawken | Bixby |
|---|---|---|
| Population | 14,864 | 29,800 |
| Median Age | 38.0 years | 36.8 years |
| Median Income | $83,000 | $93,765 |
| Married Families | 42.0% | 44.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.1 | 3.3 |
Population Comparison: Weehawken vs Bixby
- The population in Bixby is higher at 29,800, compared to 14,864 in Weehawken.
- Residents in Weehawken have a higher median age of 38.0 years compared to 36.8 years in Bixby.
- Bixby has a higher median income of $93,765, compared to $83,000 in Weehawken.
- In Bixby, the percentage of married families is higher at 44.0%, compared to 42.0% in Weehawken.
- Weehawken has a higher poverty level at 10% compared to 5% in Bixby.
- Bixby has a higher unemployment rate at 3.3% compared to 3.1% in Weehawken.
Demographics
Demographics Weehawken vs Bixby provide insight into the diversity of the communities to compare.
| Demographic | Weehawken | Bixby |
|---|---|---|
| Black | 1 | 2 |
| White | 95 | 71 |
| Asian | 3 | 4 |
| Hispanic | 1 | 7 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Weehawken vs Bixby
- In Bixby, the percentage of Black residents is higher at 2% compared to 1% in Weehawken.
- Weehawken has a higher percentage of White residents at 95% compared to 71% in Bixby.
- In Bixby, the Asian population stands at 4%, greater than 3% in Weehawken.
- Bixby has a higher percentage of Hispanic residents at 7%, compared to 1% in Weehawken.
- The percentage of residents identifying as two or more races is higher in Bixby at 11%, compared to 2% in Weehawken.
- In Bixby, the percentage of American Indian residents is higher at 5%, compared to 0% in Weehawken.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Weehawken | Bixby |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.8% |
| Physical Health Not Good | Data is updating% | 9.2% |
| Depression | Data is updating% | 24.5% |
| Smoking | Data is updating% | 12.8% |
| Binge Drinking | Data is updating% | 15.7% |
| Obesity | Data is updating% | 32.1% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Weehawken vs Bixby
- In Bixby, a higher percentage report poor mental health at 15.8% compared to 0.0% in Weehawken.
- Higher depression rates are seen in Bixby at 24.5% versus 0.0% in Weehawken.
- Bixby has a higher smoking rate at 12.8% compared to 0.0% in Weehawken.
- More residents engage in binge drinking in Bixby at 15.7% compared to 0.0% in Weehawken.
- Bixby has higher obesity rates at 32.1% compared to 0.0% in Weehawken.
- There is a higher percentage of disabled individuals in Bixby at 8.0% compared to 0.0% in Weehawken.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Weehawken | Bixby |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (154) |
| High School Diploma | 0.0% (Data is updating) | 10.8% (3,233) |
| Less than High School | 0.0% (Data is updating) | 5.5% (1,652) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 27.9% (8,313) |
Education Levels Comparison: Weehawken vs Bixby
- In Bixby, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Weehawken.
- In Bixby, the rate of residents with high school diplomas is higher at 10.8% compared to 0.0% in Weehawken.
- The percentage of residents with less than a high school education is higher in Bixby at 5.5%, compared to 0.0% in Weehawken.
- In Bixby, a larger share of residents have a bachelor's degree or higher at 27.9% compared to 0.0% in Weehawken.
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.