Demographics details for Victorville, CA vs Bedford, VA
Population Overview
Compare main population characteristics in Victorville, CA vs Bedford, VA.
| Data | Victorville | Bedford |
|---|---|---|
| Population | 137,221 | 6,735 |
| Median Age | 31.8 years | 40.5 years |
| Median Income | $65,746 | $41,154 |
| Married Families | 31.0% | 32.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 7.5 | 3.5 |
Population Comparison: Victorville vs Bedford
- In Victorville, the population is higher at 137,221, compared to 6,735 in Bedford.
- The median age in Bedford is higher at 40.5 years, compared to 31.8 years in Victorville.
- Victorville has a higher median income of $65,746 compared to $41,154 in Bedford.
- In Bedford, the percentage of married families is higher at 32.0%, compared to 31.0% in Victorville.
- Victorville has a higher poverty level at 12% compared to 10% in Bedford.
- The unemployment rate in Victorville is higher at 7.5%, compared to 3.5% in Bedford.
Demographics
Demographics Victorville vs Bedford provide insight into the diversity of the communities to compare.
| Demographic | Victorville | Bedford |
|---|---|---|
| Black | 17 | 17 |
| White | 4 | 75 |
| Asian | 4 | 3 |
| Hispanic | 54 | 2 |
| Two or More Races | 19 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Victorville vs Bedford
- The percentage of Black residents is the same in both Victorville and Bedford at 17%.
- The percentage of White residents is higher in Bedford at 75% compared to 4% in Victorville.
- The Asian population is larger in Victorville at 4% compared to 3% in Bedford.
- The Hispanic community is larger in Victorville at 54% compared to 2% in Bedford.
- More residents identify as two or more races in Victorville at 19% compared to 3% in Bedford.
- A greater percentage of American Indian residents live in Victorville at 2% compared to 0% in Bedford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Victorville | Bedford |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.9% |
| Physical Health Not Good | 14.4% | 14.0% |
| Depression | 19.0% | 25.4% |
| Smoking | 16.2% | 21.9% |
| Binge Drinking | 14.8% | 15.7% |
| Obesity | 41.3% | 41.8% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Victorville vs Bedford
- In Bedford, a higher percentage report poor mental health at 19.9% compared to 18.4% in Victorville.
- Higher depression rates are seen in Bedford at 25.4% versus 19.0% in Victorville.
- Bedford has a higher smoking rate at 21.9% compared to 16.2% in Victorville.
- More residents engage in binge drinking in Bedford at 15.7% compared to 14.8% in Victorville.
- Bedford has higher obesity rates at 41.8% compared to 41.3% in Victorville.
- Disability percentages are higher in Victorville at 13.0% compared to 11.0% in Bedford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Victorville | Bedford |
|---|---|---|
| No Schooling | 1.7% (2,334) | 1.3% (87) |
| High School Diploma | 15.1% (20,711) | 22.5% (1,518) |
| Less than High School | 24.1% (33,076) | 19.7% (1,324) |
| Bachelor's Degree and Higher | 6.6% (9,125) | 13.5% (909) |
Education Levels Comparison: Victorville vs Bedford
- A higher percentage of residents in Victorville have no formal schooling at 1.7% compared to 1.3% in Bedford.
- In Bedford, the rate of residents with high school diplomas is higher at 22.5% compared to 15.1% in Victorville.
- More residents in Victorville have less than a high school education at 24.1% compared to 19.7% in Bedford.
- In Bedford, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 6.6% in Victorville.
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.