Demographics details for Hinton, VA vs Bieber, CA
Population Overview
Compare main population characteristics in Hinton, VA vs Bieber, CA.
| Data | Hinton | Bieber |
|---|---|---|
| Population | 260 | 151 |
| Median Age | 38.0 years | 33.6 years |
| Median Income | $50,000 | $46,667 |
| Married Families | 60.0% | 34.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.0 | 5.1 |
Population Comparison: Hinton vs Bieber
- In Hinton, the population is higher at 260, compared to 151 in Bieber.
- Residents in Hinton have a higher median age of 38.0 years compared to 33.6 years in Bieber.
- Hinton has a higher median income of $50,000 compared to $46,667 in Bieber.
- A higher percentage of married families is found in Hinton at 60.0% compared to 34.0% in Bieber.
- Hinton has a higher poverty level at 12% compared to 0% in Bieber.
- Bieber has a higher unemployment rate at 5.1% compared to 4.0% in Hinton.
Demographics
Demographics Hinton vs Bieber provide insight into the diversity of the communities to compare.
| Demographic | Hinton | Bieber |
|---|---|---|
| Black | 5 | Data is updating |
| White | 90 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 3 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hinton vs Bieber
- A higher percentage of Black residents are in Hinton at 5% compared to 0% in Bieber.
- The percentage of White residents is higher in Bieber at 94% compared to 90% in Hinton.
- The Asian population is larger in Hinton at 1% compared to 0% in Bieber.
- Bieber has a higher percentage of Hispanic residents at 3%, compared to 2% in Hinton.
- The percentage of residents identifying as two or more races is higher in Bieber at 3%, compared to 2% in Hinton.
- The percentage of American Indian residents is the same in both Hinton and Bieber at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hinton | Bieber |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.6% |
| Physical Health Not Good | Data is updating% | 11.9% |
| Depression | Data is updating% | 21.1% |
| Smoking | Data is updating% | 14.9% |
| Binge Drinking | Data is updating% | 18.1% |
| Obesity | Data is updating% | 30.8% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Hinton vs Bieber
- In Bieber, a higher percentage report poor mental health at 17.6% compared to 0.0% in Hinton.
- Higher depression rates are seen in Bieber at 21.1% versus 0.0% in Hinton.
- Bieber has a higher smoking rate at 14.9% compared to 0.0% in Hinton.
- More residents engage in binge drinking in Bieber at 18.1% compared to 0.0% in Hinton.
- Bieber has higher obesity rates at 30.8% compared to 0.0% in Hinton.
- There is a higher percentage of disabled individuals in Bieber at 19.0% compared to 0.0% in Hinton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hinton | Bieber |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 13.2% (20) |
| Less than High School | 0.0% (Data is updating) | 5.3% (8) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 6.0% (9) |
Education Levels Comparison: Hinton vs Bieber
- The percentage of residents with no formal schooling is the same in both Hinton and Bieber at 0.0%.
- In Bieber, the rate of residents with high school diplomas is higher at 13.2% compared to 0.0% in Hinton.
- The percentage of residents with less than a high school education is higher in Bieber at 5.3%, compared to 0.0% in Hinton.
- In Bieber, a larger share of residents have a bachelor's degree or higher at 6.0% compared to 0.0% in Hinton.
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.