Demographics details for Victorville, CA vs Pittsburg, KS
Population Overview
Compare main population characteristics in Victorville, CA vs Pittsburg, KS.
| Data | Victorville | Pittsburg |
|---|---|---|
| Population | 137,221 | 20,658 |
| Median Age | 31.8 years | 25.7 years |
| Median Income | $65,746 | $42,371 |
| Married Families | 31.0% | 28.0% |
| Poverty Level | 12% | 23% |
| Unemployment Rate | 7.5 | 3.1 |
Population Comparison: Victorville vs Pittsburg
- In Victorville, the population is higher at 137,221, compared to 20,658 in Pittsburg.
- Residents in Victorville have a higher median age of 31.8 years compared to 25.7 years in Pittsburg.
- Victorville has a higher median income of $65,746 compared to $42,371 in Pittsburg.
- A higher percentage of married families is found in Victorville at 31.0% compared to 28.0% in Pittsburg.
- The poverty level is higher in Pittsburg at 23%, compared to 12% in Victorville.
- The unemployment rate in Victorville is higher at 7.5%, compared to 3.1% in Pittsburg.
Demographics
Demographics Victorville vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Victorville | Pittsburg |
|---|---|---|
| Black | 17 | 3 |
| White | 4 | 78 |
| Asian | 4 | 3 |
| Hispanic | 54 | 11 |
| Two or More Races | 19 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Victorville vs Pittsburg
- A higher percentage of Black residents are in Victorville at 17% compared to 3% in Pittsburg.
- The percentage of White residents is higher in Pittsburg at 78% compared to 4% in Victorville.
- The Asian population is larger in Victorville at 4% compared to 3% in Pittsburg.
- The Hispanic community is larger in Victorville at 54% compared to 11% in Pittsburg.
- More residents identify as two or more races in Victorville at 19% compared to 5% in Pittsburg.
- A greater percentage of American Indian residents live in Victorville at 2% compared to 0% in Pittsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Victorville | Pittsburg |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.3% |
| Physical Health Not Good | 14.4% | 12.5% |
| Depression | 19.0% | 25.0% |
| Smoking | 16.2% | 23.9% |
| Binge Drinking | 14.8% | 19.7% |
| Obesity | 41.3% | 43.5% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Victorville vs Pittsburg
- In Pittsburg, a higher percentage report poor mental health at 19.3% compared to 18.4% in Victorville.
- Higher depression rates are seen in Pittsburg at 25.0% versus 19.0% in Victorville.
- Pittsburg has a higher smoking rate at 23.9% compared to 16.2% in Victorville.
- More residents engage in binge drinking in Pittsburg at 19.7% compared to 14.8% in Victorville.
- Pittsburg has higher obesity rates at 43.5% compared to 41.3% in Victorville.
- There is a higher percentage of disabled individuals in Pittsburg at 16.0% compared to 13.0% in Victorville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Victorville | Pittsburg |
|---|---|---|
| No Schooling | 1.7% (2,334) | 0.7% (150) |
| High School Diploma | 15.1% (20,711) | 13.0% (2,686) |
| Less than High School | 24.1% (33,076) | 5.9% (1,222) |
| Bachelor's Degree and Higher | 6.6% (9,125) | 17.2% (3,562) |
Education Levels Comparison: Victorville vs Pittsburg
- A higher percentage of residents in Victorville have no formal schooling at 1.7% compared to 0.7% in Pittsburg.
- A higher percentage of residents in Victorville hold a high school diploma at 15.1% compared to 13.0% in Pittsburg.
- More residents in Victorville have less than a high school education at 24.1% compared to 5.9% in Pittsburg.
- In Pittsburg, a larger share of residents have a bachelor's degree or higher at 17.2% 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.