Demographics details for Victorville, CA vs Sunnyside, WA
Population Overview
Compare main population characteristics in Victorville, CA vs Sunnyside, WA.
| Data | Victorville | Sunnyside |
|---|---|---|
| Population | 137,221 | 16,296 |
| Median Age | 31.8 years | 27.1 years |
| Median Income | $65,746 | $49,134 |
| Married Families | 31.0% | 31.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 7.5 | 5.3 |
Population Comparison: Victorville vs Sunnyside
- In Victorville, the population is higher at 137,221, compared to 16,296 in Sunnyside.
- Residents in Victorville have a higher median age of 31.8 years compared to 27.1 years in Sunnyside.
- Victorville has a higher median income of $65,746 compared to $49,134 in Sunnyside.
- The percentage of married families is the same in both Victorville and Sunnyside at 31.0%.
- The poverty level is higher in Sunnyside at 18%, compared to 12% in Victorville.
- The unemployment rate in Victorville is higher at 7.5%, compared to 5.3% in Sunnyside.
Demographics
Demographics Victorville vs Sunnyside provide insight into the diversity of the communities to compare.
| Demographic | Victorville | Sunnyside |
|---|---|---|
| Black | 17 | Data is updating |
| White | 4 | -10 |
| Asian | 4 | 1 |
| Hispanic | 54 | 86 |
| Two or More Races | 19 | 22 |
| American Indian | 2 | 1 |
Demographics Comparison: Victorville vs Sunnyside
- A higher percentage of Black residents are in Victorville at 17% compared to 0% in Sunnyside.
- Victorville has a higher percentage of White residents at 4% compared to -10% in Sunnyside.
- The Asian population is larger in Victorville at 4% compared to 1% in Sunnyside.
- Sunnyside has a higher percentage of Hispanic residents at 86%, compared to 54% in Victorville.
- The percentage of residents identifying as two or more races is higher in Sunnyside at 22%, compared to 19% in Victorville.
- A greater percentage of American Indian residents live in Victorville at 2% compared to 1% in Sunnyside.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Victorville | Sunnyside |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.4% |
| Physical Health Not Good | 14.4% | 18.4% |
| Depression | 19.0% | 22.8% |
| Smoking | 16.2% | 19.2% |
| Binge Drinking | 14.8% | 13.4% |
| Obesity | 41.3% | 44.5% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Victorville vs Sunnyside
- In Sunnyside, a higher percentage report poor mental health at 19.4% compared to 18.4% in Victorville.
- Higher depression rates are seen in Sunnyside at 22.8% versus 19.0% in Victorville.
- Sunnyside has a higher smoking rate at 19.2% compared to 16.2% in Victorville.
- Binge drinking is more common in Victorville at 14.8% compared to 13.4% in Sunnyside.
- Sunnyside has higher obesity rates at 44.5% compared to 41.3% in Victorville.
- Disability percentages are higher in Victorville at 13.0% compared to 11.0% in Sunnyside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Victorville | Sunnyside |
|---|---|---|
| No Schooling | 1.7% (2,334) | 3.3% (530) |
| High School Diploma | 15.1% (20,711) | 12.2% (1,985) |
| Less than High School | 24.1% (33,076) | 49.1% (8,000) |
| Bachelor's Degree and Higher | 6.6% (9,125) | 4.4% (710) |
Education Levels Comparison: Victorville vs Sunnyside
- In Sunnyside, a larger percentage of residents lack formal schooling at 3.3% compared to 1.7% in Victorville.
- A higher percentage of residents in Victorville hold a high school diploma at 15.1% compared to 12.2% in Sunnyside.
- The percentage of residents with less than a high school education is higher in Sunnyside at 49.1%, compared to 24.1% in Victorville.
- A higher percentage of residents in Victorville hold a bachelor's degree or higher at 6.6% compared to 4.4% in Sunnyside.
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.