Demographics details for Bixby, OK vs Fort payne, AL
Population Overview
Compare main population characteristics in Bixby, OK vs Fort payne, AL.
Data | Bixby | Fort payne |
---|---|---|
Population | 29,800 | 14,879 |
Median Age | 36.8 years | 39.7 years |
Median Income | $93,765 | $44,549 |
Married Families | 44.0% | 38.0% |
Poverty Level | 5% | 11% |
Unemployment Rate | 3.3 | 2.5 |
Population Comparison: Bixby vs Fort payne
- In Bixby, the population is higher at 29,800, compared to 14,879 in Fort payne.
- The median age in Fort payne is higher at 39.7 years, compared to 36.8 years in Bixby.
- Bixby has a higher median income of $93,765 compared to $44,549 in Fort payne.
- A higher percentage of married families is found in Bixby at 44.0% compared to 38.0% in Fort payne.
- The poverty level is higher in Fort payne at 11%, compared to 5% in Bixby.
- The unemployment rate in Bixby is higher at 3.3%, compared to 2.5% in Fort payne.
Demographics
Demographics Bixby vs Fort payne provide insight into the diversity of the communities to compare.
Demographic | Bixby | Fort payne |
---|---|---|
Black | 2 | 2 |
White | 71 | 72 |
Asian | 4 | Data is updating |
Hispanic | 7 | 20 |
Two or More Races | 11 | 4 |
American Indian | 5 | 2 |
Demographics Comparison: Bixby vs Fort payne
- The percentage of Black residents is the same in both Bixby and Fort payne at 2%.
- The percentage of White residents is higher in Fort payne at 72% compared to 71% in Bixby.
- The Asian population is larger in Bixby at 4% compared to 0% in Fort payne.
- Fort payne has a higher percentage of Hispanic residents at 20%, compared to 7% in Bixby.
- More residents identify as two or more races in Bixby at 11% compared to 4% in Fort payne.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 2% in Fort payne.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bixby | Fort payne |
---|---|---|
Mental Health Not Good | 15.8% | 21.2% |
Physical Health Not Good | 9.2% | 16.1% |
Depression | 24.5% | 26.0% |
Smoking | 12.8% | 23.3% |
Binge Drinking | 15.7% | 14.3% |
Obesity | 32.1% | 41.8% |
Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Bixby vs Fort payne
- In Fort payne, a higher percentage report poor mental health at 21.2% compared to 15.8% in Bixby.
- Higher depression rates are seen in Fort payne at 26.0% versus 24.5% in Bixby.
- Fort payne has a higher smoking rate at 23.3% compared to 12.8% in Bixby.
- Binge drinking is more common in Bixby at 15.7% compared to 14.3% in Fort payne.
- Fort payne has higher obesity rates at 41.8% compared to 32.1% in Bixby.
- There is a higher percentage of disabled individuals in Fort payne at 13.0% 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 | Fort payne |
---|---|---|
No Schooling | 0.5% (154) | 2.7% (402) |
High School Diploma | 10.8% (3,233) | 14.2% (2,110) |
Less than High School | 5.5% (1,652) | 27.9% (4,155) |
Bachelor's Degree and Higher | 27.9% (8,313) | 11.9% (1,767) |
Education Levels Comparison: Bixby vs Fort payne
- In Fort payne, a larger percentage of residents lack formal schooling at 2.7% compared to 0.5% in Bixby.
- In Fort payne, the rate of residents with high school diplomas is higher at 14.2% compared to 10.8% in Bixby.
- The percentage of residents with less than a high school education is higher in Fort payne at 27.9%, 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 11.9% in Fort payne.
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.