Demographics details for Bieber, CA vs Sulphur, OK
Population Overview
Compare main population characteristics in Bieber, CA vs Sulphur, OK.
| Data | Bieber | Sulphur |
|---|---|---|
| Population | 151 | 4,951 |
| Median Age | 33.6 years | 38.8 years |
| Median Income | $46,667 | $55,951 |
| Married Families | 34.0% | 34.0% |
| Poverty Level | Data is updating | 14% |
| Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Bieber vs Sulphur
- The population in Sulphur is higher at 4,951, compared to 151 in Bieber.
- The median age in Sulphur is higher at 38.8 years, compared to 33.6 years in Bieber.
- Sulphur has a higher median income of $55,951, compared to $46,667 in Bieber.
- The percentage of married families is the same in both Bieber and Sulphur at 34.0%.
- The poverty level is higher in Sulphur at 14%, compared to 0% in Bieber.
- The unemployment rate in Bieber is higher at 5.1%, compared to 3.5% in Sulphur.
Demographics
Demographics Bieber vs Sulphur provide insight into the diversity of the communities to compare.
| Demographic | Bieber | Sulphur |
|---|---|---|
| Black | Data is updating | 2 |
| White | 94 | 60 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 12 |
| Two or More Races | 3 | 16 |
| American Indian | Data is updating | 10 |
Demographics Comparison: Bieber vs Sulphur
- In Sulphur, the percentage of Black residents is higher at 2% compared to 0% in Bieber.
- Bieber has a higher percentage of White residents at 94% compared to 60% in Sulphur.
- Both Bieber and Sulphur have the same percentage of Asian residents at 0%.
- Sulphur has a higher percentage of Hispanic residents at 12%, compared to 3% in Bieber.
- The percentage of residents identifying as two or more races is higher in Sulphur at 16%, compared to 3% in Bieber.
- In Sulphur, the percentage of American Indian residents is higher at 10%, compared to 0% in Bieber.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bieber | Sulphur |
|---|---|---|
| Mental Health Not Good | 17.6% | 19.2% |
| Physical Health Not Good | 11.9% | 13.1% |
| Depression | 21.1% | 25.3% |
| Smoking | 14.9% | 21.4% |
| Binge Drinking | 18.1% | 14.6% |
| Obesity | 30.8% | 40.7% |
| Disability Percentage | 19.0% | 19.0% |
Health Statistics Comparison: Bieber vs Sulphur
- In Sulphur, a higher percentage report poor mental health at 19.2% compared to 17.6% in Bieber.
- Higher depression rates are seen in Sulphur at 25.3% versus 21.1% in Bieber.
- Sulphur has a higher smoking rate at 21.4% compared to 14.9% in Bieber.
- Binge drinking is more common in Bieber at 18.1% compared to 14.6% in Sulphur.
- Sulphur has higher obesity rates at 40.7% compared to 30.8% in Bieber.
- Disability percentages are the same in both Bieber and Sulphur at 19.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bieber | Sulphur |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (88) |
| High School Diploma | 13.2% (20) | 18.2% (899) |
| Less than High School | 5.3% (8) | 18.1% (898) |
| Bachelor's Degree and Higher | 6.0% (9) | 10.9% (542) |
Education Levels Comparison: Bieber vs Sulphur
- In Sulphur, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Bieber.
- In Sulphur, the rate of residents with high school diplomas is higher at 18.2% compared to 13.2% in Bieber.
- The percentage of residents with less than a high school education is higher in Sulphur at 18.1%, compared to 5.3% in Bieber.
- In Sulphur, a larger share of residents have a bachelor's degree or higher at 10.9% 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.