Demographics details for Bixby, OK vs Commerce city, CO
Population Overview
Compare main population characteristics in Bixby, OK vs Commerce city, CO.
Data | Bixby | Commerce city |
---|---|---|
Population | 29,800 | 66,115 |
Median Age | 36.8 years | 33.5 years |
Median Income | $93,765 | $96,484 |
Married Families | 44.0% | 40.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 3.3 | 4.7 |
Population Comparison: Bixby vs Commerce city
- The population in Commerce city is higher at 66,115, compared to 29,800 in Bixby.
- Residents in Bixby have a higher median age of 36.8 years compared to 33.5 years in Commerce city.
- Commerce city has a higher median income of $96,484, compared to $93,765 in Bixby.
- A higher percentage of married families is found in Bixby at 44.0% compared to 40.0% in Commerce city.
- The poverty level is higher in Commerce city at 12%, compared to 5% in Bixby.
- Commerce city has a higher unemployment rate at 4.7% compared to 3.3% in Bixby.
Demographics
Demographics Bixby vs Commerce city provide insight into the diversity of the communities to compare.
Demographic | Bixby | Commerce city |
---|---|---|
Black | 2 | 4 |
White | 71 | 32 |
Asian | 4 | 2 |
Hispanic | 7 | 46 |
Two or More Races | 11 | 14 |
American Indian | 5 | 2 |
Demographics Comparison: Bixby vs Commerce city
- In Commerce city, the percentage of Black residents is higher at 4% compared to 2% in Bixby.
- Bixby has a higher percentage of White residents at 71% compared to 32% in Commerce city.
- The Asian population is larger in Bixby at 4% compared to 2% in Commerce city.
- Commerce city has a higher percentage of Hispanic residents at 46%, compared to 7% in Bixby.
- The percentage of residents identifying as two or more races is higher in Commerce city at 14%, compared to 11% in Bixby.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 2% in Commerce city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bixby | Commerce city |
---|---|---|
Mental Health Not Good | 15.8% | 16.0% |
Physical Health Not Good | 9.2% | 13.0% |
Depression | 24.5% | 22.1% |
Smoking | 12.8% | 17.1% |
Binge Drinking | 15.7% | 20.0% |
Obesity | 32.1% | 33.1% |
Disability Percentage | 8.0% | 10.0% |
Health Statistics Comparison: Bixby vs Commerce city
- In Commerce city, a higher percentage report poor mental health at 16.0% compared to 15.8% in Bixby.
- Depression is more prevalent in Bixby at 24.5% compared to 22.1% in Commerce city.
- Commerce city has a higher smoking rate at 17.1% compared to 12.8% in Bixby.
- More residents engage in binge drinking in Commerce city at 20.0% compared to 15.7% in Bixby.
- Commerce city has higher obesity rates at 33.1% compared to 32.1% in Bixby.
- There is a higher percentage of disabled individuals in Commerce city at 10.0% 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 | Commerce city |
---|---|---|
No Schooling | 0.5% (154) | 2.2% (1,449) |
High School Diploma | 10.8% (3,233) | 14.0% (9,246) |
Less than High School | 5.5% (1,652) | 17.9% (11,830) |
Bachelor's Degree and Higher | 27.9% (8,313) | 14.5% (9,611) |
Education Levels Comparison: Bixby vs Commerce city
- In Commerce city, a larger percentage of residents lack formal schooling at 2.2% compared to 0.5% in Bixby.
- In Commerce city, the rate of residents with high school diplomas is higher at 14.0% compared to 10.8% in Bixby.
- The percentage of residents with less than a high school education is higher in Commerce city at 17.9%, 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 14.5% in Commerce 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.