Demographics details for Central city, KY vs Bixby, OK
Population Overview
Compare main population characteristics in Central city, KY vs Bixby, OK.
| Data | Central city | Bixby |
|---|---|---|
| Population | 5,810 | 29,800 |
| Median Age | 33.5 years | 36.8 years |
| Median Income | $52,184 | $93,765 |
| Married Families | 38.0% | 44.0% |
| Poverty Level | 16% | 5% |
| Unemployment Rate | 3.5 | 3.3 |
Population Comparison: Central city vs Bixby
- The population in Bixby is higher at 29,800, compared to 5,810 in Central city.
- The median age in Bixby is higher at 36.8 years, compared to 33.5 years in Central city.
- Bixby has a higher median income of $93,765, compared to $52,184 in Central city.
- In Bixby, the percentage of married families is higher at 44.0%, compared to 38.0% in Central city.
- Central city has a higher poverty level at 16% compared to 5% in Bixby.
- The unemployment rate in Central city is higher at 3.5%, compared to 3.3% in Bixby.
Demographics
Demographics Central city vs Bixby provide insight into the diversity of the communities to compare.
| Demographic | Central city | Bixby |
|---|---|---|
| Black | 3 | 2 |
| White | 88 | 71 |
| Asian | Data is updating | 4 |
| Hispanic | 2 | 7 |
| Two or More Races | 6 | 11 |
| American Indian | 1 | 5 |
Demographics Comparison: Central city vs Bixby
- A higher percentage of Black residents are in Central city at 3% compared to 2% in Bixby.
- Central city has a higher percentage of White residents at 88% compared to 71% in Bixby.
- In Bixby, the Asian population stands at 4%, greater than 0% in Central city.
- Bixby has a higher percentage of Hispanic residents at 7%, compared to 2% in Central city.
- The percentage of residents identifying as two or more races is higher in Bixby at 11%, compared to 6% in Central city.
- In Bixby, the percentage of American Indian residents is higher at 5%, compared to 1% in Central city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Central city | Bixby |
|---|---|---|
| Mental Health Not Good | 19.3% | 15.8% |
| Physical Health Not Good | 15.5% | 9.2% |
| Depression | 26.8% | 24.5% |
| Smoking | 24.8% | 12.8% |
| Binge Drinking | 14.8% | 15.7% |
| Obesity | 41.9% | 32.1% |
| Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: Central city vs Bixby
- More residents in Central city report poor mental health at 19.3% compared to 15.8% in Bixby.
- Depression is more prevalent in Central city at 26.8% compared to 24.5% in Bixby.
- Smoking is more prevalent in Central city at 24.8% compared to 12.8% in Bixby.
- More residents engage in binge drinking in Bixby at 15.7% compared to 14.8% in Central city.
- Obesity rates are higher in Central city at 41.9% compared to 32.1% in Bixby.
- Disability percentages are higher in Central city at 15.0% 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 | Central city | Bixby |
|---|---|---|
| No Schooling | 1.1% (65) | 0.5% (154) |
| High School Diploma | 15.4% (897) | 10.8% (3,233) |
| Less than High School | 15.6% (905) | 5.5% (1,652) |
| Bachelor's Degree and Higher | 8.3% (480) | 27.9% (8,313) |
Education Levels Comparison: Central city vs Bixby
- A higher percentage of residents in Central city have no formal schooling at 1.1% compared to 0.5% in Bixby.
- A higher percentage of residents in Central city hold a high school diploma at 15.4% compared to 10.8% in Bixby.
- More residents in Central city have less than a high school education at 15.6% 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 8.3% in Central city.
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.