Demographics details for Victorville, CA vs Bedford, TX
Population Overview
Compare main population characteristics in Victorville, CA vs Bedford, TX.
| Data | Victorville | Bedford |
|---|---|---|
| Population | 137,221 | 48,724 |
| Median Age | 31.8 years | 38.3 years |
| Median Income | $65,746 | $80,924 |
| Married Families | 31.0% | 40.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 7.5 | 4.0 |
Population Comparison: Victorville vs Bedford
- In Victorville, the population is higher at 137,221, compared to 48,724 in Bedford.
- The median age in Bedford is higher at 38.3 years, compared to 31.8 years in Victorville.
- Bedford has a higher median income of $80,924, compared to $65,746 in Victorville.
- In Bedford, the percentage of married families is higher at 40.0%, compared to 31.0% in Victorville.
- Victorville has a higher poverty level at 12% compared to 7% in Bedford.
- The unemployment rate in Victorville is higher at 7.5%, compared to 4.0% in Bedford.
Demographics
Demographics Victorville vs Bedford provide insight into the diversity of the communities to compare.
| Demographic | Victorville | Bedford |
|---|---|---|
| Black | 17 | 12 |
| White | 4 | 53 |
| Asian | 4 | 6 |
| Hispanic | 54 | 18 |
| Two or More Races | 19 | 11 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Victorville vs Bedford
- A higher percentage of Black residents are in Victorville at 17% compared to 12% in Bedford.
- The percentage of White residents is higher in Bedford at 53% compared to 4% in Victorville.
- In Bedford, the Asian population stands at 6%, greater than 4% in Victorville.
- The Hispanic community is larger in Victorville at 54% compared to 18% in Bedford.
- More residents identify as two or more races in Victorville at 19% compared to 11% 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% | 15.4% |
| Physical Health Not Good | 14.4% | 9.6% |
| Depression | 19.0% | 22.9% |
| Smoking | 16.2% | 12.8% |
| Binge Drinking | 14.8% | 18.5% |
| Obesity | 41.3% | 31.5% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Victorville vs Bedford
- More residents in Victorville report poor mental health at 18.4% compared to 15.4% in Bedford.
- Higher depression rates are seen in Bedford at 22.9% versus 19.0% in Victorville.
- Smoking is more prevalent in Victorville at 16.2% compared to 12.8% in Bedford.
- More residents engage in binge drinking in Bedford at 18.5% compared to 14.8% in Victorville.
- Obesity rates are higher in Victorville at 41.3% compared to 31.5% in Bedford.
- 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) | 0.6% (290) |
| High School Diploma | 15.1% (20,711) | 10.6% (5,168) |
| Less than High School | 24.1% (33,076) | 7.0% (3,432) |
| Bachelor's Degree and Higher | 6.6% (9,125) | 28.4% (13,831) |
Education Levels Comparison: Victorville vs Bedford
- A higher percentage of residents in Victorville have no formal schooling at 1.7% compared to 0.6% in Bedford.
- A higher percentage of residents in Victorville hold a high school diploma at 15.1% compared to 10.6% in Bedford.
- More residents in Victorville have less than a high school education at 24.1% compared to 7.0% in Bedford.
- In Bedford, a larger share of residents have a bachelor's degree or higher at 28.4% 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.