Demographics details for Bieber, CA vs Broken arrow, OK
Population Overview
Compare main population characteristics in Bieber, CA vs Broken arrow, OK.
| Data | Bieber | Broken arrow |
|---|---|---|
| Population | 151 | 117,911 |
| Median Age | 33.6 years | 36.8 years |
| Median Income | $46,667 | $82,547 |
| Married Families | 34.0% | 43.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 5.1 | 3.3 |
Population Comparison: Bieber vs Broken arrow
- The population in Broken arrow is higher at 117,911, compared to 151 in Bieber.
- The median age in Broken arrow is higher at 36.8 years, compared to 33.6 years in Bieber.
- Broken arrow has a higher median income of $82,547, compared to $46,667 in Bieber.
- In Broken arrow, the percentage of married families is higher at 43.0%, compared to 34.0% in Bieber.
- The poverty level is higher in Broken arrow at 10%, compared to 0% in Bieber.
- The unemployment rate in Bieber is higher at 5.1%, compared to 3.3% in Broken arrow.
Demographics
Demographics Bieber vs Broken arrow provide insight into the diversity of the communities to compare.
| Demographic | Bieber | Broken arrow |
|---|---|---|
| Black | Data is updating | 5 |
| White | 94 | 65 |
| Asian | Data is updating | 4 |
| Hispanic | 3 | 10 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Bieber vs Broken arrow
- In Broken arrow, the percentage of Black residents is higher at 5% compared to 0% in Bieber.
- Bieber has a higher percentage of White residents at 94% compared to 65% in Broken arrow.
- In Broken arrow, the Asian population stands at 4%, greater than 0% in Bieber.
- Broken arrow has a higher percentage of Hispanic residents at 10%, compared to 3% in Bieber.
- The percentage of residents identifying as two or more races is higher in Broken arrow at 11%, compared to 3% in Bieber.
- In Broken arrow, the percentage of American Indian residents is higher at 5%, compared to 0% in Bieber.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bieber | Broken arrow |
|---|---|---|
| Mental Health Not Good | 17.6% | 16.8% |
| Physical Health Not Good | 11.9% | 10.3% |
| Depression | 21.1% | 25.0% |
| Smoking | 14.9% | 14.9% |
| Binge Drinking | 18.1% | 15.0% |
| Obesity | 30.8% | 34.6% |
| Disability Percentage | 19.0% | 11.0% |
Health Statistics Comparison: Bieber vs Broken arrow
- More residents in Bieber report poor mental health at 17.6% compared to 16.8% in Broken arrow.
- Higher depression rates are seen in Broken arrow at 25.0% versus 21.1% in Bieber.
- Smoking rates are the same in both Bieber and Broken arrow at 14.9%.
- Binge drinking is more common in Bieber at 18.1% compared to 15.0% in Broken arrow.
- Broken arrow has higher obesity rates at 34.6% compared to 30.8% in Bieber.
- Disability percentages are higher in Bieber at 19.0% compared to 11.0% in Broken arrow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bieber | Broken arrow |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (935) |
| High School Diploma | 13.2% (20) | 13.2% (15,535) |
| Less than High School | 5.3% (8) | 6.6% (7,783) |
| Bachelor's Degree and Higher | 6.0% (9) | 22.2% (26,196) |
Education Levels Comparison: Bieber vs Broken arrow
- In Broken arrow, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Bieber.
- Both cities have the same percentage of residents with high school diplomas at 13.2%.
- The percentage of residents with less than a high school education is higher in Broken arrow at 6.6%, compared to 5.3% in Bieber.
- In Broken arrow, a larger share of residents have a bachelor's degree or higher at 22.2% compared to 6.0% in Bieber.
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.