Demographics details for Bieber, CA vs Awendaw, SC
Population Overview
Compare main population characteristics in Bieber, CA vs Awendaw, SC.
| Data | Bieber | Awendaw |
|---|---|---|
| Population | 151 | 1,429 |
| Median Age | 33.6 years | 57.8 years |
| Median Income | $46,667 | $63,533 |
| Married Families | 34.0% | 56.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 5.1 | 3.2 |
Population Comparison: Bieber vs Awendaw
- The population in Awendaw is higher at 1,429, compared to 151 in Bieber.
- The median age in Awendaw is higher at 57.8 years, compared to 33.6 years in Bieber.
- Awendaw has a higher median income of $63,533, compared to $46,667 in Bieber.
- In Awendaw, the percentage of married families is higher at 56.0%, compared to 34.0% in Bieber.
- The poverty level is higher in Awendaw at 5%, compared to 0% in Bieber.
- The unemployment rate in Bieber is higher at 5.1%, compared to 3.2% in Awendaw.
Demographics
Demographics Bieber vs Awendaw provide insight into the diversity of the communities to compare.
| Demographic | Bieber | Awendaw |
|---|---|---|
| Black | Data is updating | 58 |
| White | 94 | 42 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bieber vs Awendaw
- In Awendaw, the percentage of Black residents is higher at 58% compared to 0% in Bieber.
- Bieber has a higher percentage of White residents at 94% compared to 42% in Awendaw.
- Both Bieber and Awendaw have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bieber at 3% compared to 0% in Awendaw.
- More residents identify as two or more races in Bieber at 3% compared to 0% in Awendaw.
- The percentage of American Indian residents is the same in both Bieber and Awendaw at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bieber | Awendaw |
|---|---|---|
| Mental Health Not Good | 17.6% | 16.4% |
| Physical Health Not Good | 11.9% | 10.7% |
| Depression | 21.1% | 17.8% |
| Smoking | 14.9% | 16.6% |
| Binge Drinking | 18.1% | 21.5% |
| Obesity | 30.8% | 35.8% |
| Disability Percentage | 19.0% | 21.0% |
Health Statistics Comparison: Bieber vs Awendaw
- More residents in Bieber report poor mental health at 17.6% compared to 16.4% in Awendaw.
- Depression is more prevalent in Bieber at 21.1% compared to 17.8% in Awendaw.
- Awendaw has a higher smoking rate at 16.6% compared to 14.9% in Bieber.
- More residents engage in binge drinking in Awendaw at 21.5% compared to 18.1% in Bieber.
- Awendaw has higher obesity rates at 35.8% compared to 30.8% in Bieber.
- There is a higher percentage of disabled individuals in Awendaw at 21.0% compared to 19.0% in Bieber.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bieber | Awendaw |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (14) |
| High School Diploma | 13.2% (20) | 24.6% (352) |
| Less than High School | 5.3% (8) | 14.8% (212) |
| Bachelor's Degree and Higher | 6.0% (9) | 30.4% (435) |
Education Levels Comparison: Bieber vs Awendaw
- In Awendaw, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Bieber.
- In Awendaw, the rate of residents with high school diplomas is higher at 24.6% compared to 13.2% in Bieber.
- The percentage of residents with less than a high school education is higher in Awendaw at 14.8%, compared to 5.3% in Bieber.
- In Awendaw, a larger share of residents have a bachelor's degree or higher at 30.4% 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.