Demographics details for Cole camp, MO vs Bixby, OK
Population Overview
Compare main population characteristics in Cole camp, MO vs Bixby, OK.
| Data | Cole camp | Bixby |
|---|---|---|
| Population | 1,149 | 29,800 |
| Median Age | 47.2 years | 36.8 years |
| Median Income | $40,192 | $93,765 |
| Married Families | 48.0% | 44.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 3.3 |
Population Comparison: Cole camp vs Bixby
- The population in Bixby is higher at 29,800, compared to 1,149 in Cole camp.
- Residents in Cole camp have a higher median age of 47.2 years compared to 36.8 years in Bixby.
- Bixby has a higher median income of $93,765, compared to $40,192 in Cole camp.
- A higher percentage of married families is found in Cole camp at 48.0% compared to 44.0% in Bixby.
- Cole camp has a higher poverty level at 12% compared to 5% in Bixby.
- The unemployment rate in Cole camp is higher at 3.5%, compared to 3.3% in Bixby.
Demographics
Demographics Cole camp vs Bixby provide insight into the diversity of the communities to compare.
| Demographic | Cole camp | Bixby |
|---|---|---|
| Black | Data is updating | 2 |
| White | 100 | 71 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 7 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Cole camp vs Bixby
- In Bixby, the percentage of Black residents is higher at 2% compared to 0% in Cole camp.
- Cole camp has a higher percentage of White residents at 100% compared to 71% in Bixby.
- In Bixby, the Asian population stands at 4%, greater than 0% in Cole camp.
- Bixby has a higher percentage of Hispanic residents at 7%, compared to 0% in Cole camp.
- The percentage of residents identifying as two or more races is higher in Bixby at 11%, compared to 0% in Cole camp.
- In Bixby, the percentage of American Indian residents is higher at 5%, compared to 0% in Cole camp.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cole camp | Bixby |
|---|---|---|
| Mental Health Not Good | 19.0% | 15.8% |
| Physical Health Not Good | 13.7% | 9.2% |
| Depression | 24.7% | 24.5% |
| Smoking | 22.4% | 12.8% |
| Binge Drinking | 16.6% | 15.7% |
| Obesity | 42.4% | 32.1% |
| Disability Percentage | 19.0% | 8.0% |
Health Statistics Comparison: Cole camp vs Bixby
- More residents in Cole camp report poor mental health at 19.0% compared to 15.8% in Bixby.
- Depression is more prevalent in Cole camp at 24.7% compared to 24.5% in Bixby.
- Smoking is more prevalent in Cole camp at 22.4% compared to 12.8% in Bixby.
- Binge drinking is more common in Cole camp at 16.6% compared to 15.7% in Bixby.
- Obesity rates are higher in Cole camp at 42.4% compared to 32.1% in Bixby.
- Disability percentages are higher in Cole camp at 19.0% 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 | Cole camp | Bixby |
|---|---|---|
| No Schooling | 0.4% (5) | 0.5% (154) |
| High School Diploma | 31.4% (361) | 10.8% (3,233) |
| Less than High School | 10.6% (122) | 5.5% (1,652) |
| Bachelor's Degree and Higher | 14.4% (166) | 27.9% (8,313) |
Education Levels Comparison: Cole camp vs Bixby
- In Bixby, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Cole camp.
- A higher percentage of residents in Cole camp hold a high school diploma at 31.4% compared to 10.8% in Bixby.
- More residents in Cole camp have less than a high school education at 10.6% 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 14.4% in Cole camp.
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.