Demographics details for Victorville, CA vs Piqua, OH
Population Overview
Compare main population characteristics in Victorville, CA vs Piqua, OH.
| Data | Victorville | Piqua |
|---|---|---|
| Population | 137,221 | 20,607 |
| Median Age | 31.8 years | 37.9 years |
| Median Income | $65,746 | $55,379 |
| Married Families | 31.0% | 35.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 7.5 | 4.5 |
Population Comparison: Victorville vs Piqua
- In Victorville, the population is higher at 137,221, compared to 20,607 in Piqua.
- The median age in Piqua is higher at 37.9 years, compared to 31.8 years in Victorville.
- Victorville has a higher median income of $65,746 compared to $55,379 in Piqua.
- In Piqua, the percentage of married families is higher at 35.0%, compared to 31.0% in Victorville.
- Victorville has a higher poverty level at 12% compared to 10% in Piqua.
- The unemployment rate in Victorville is higher at 7.5%, compared to 4.5% in Piqua.
Demographics
Demographics Victorville vs Piqua provide insight into the diversity of the communities to compare.
| Demographic | Victorville | Piqua |
|---|---|---|
| Black | 17 | 2 |
| White | 4 | 92 |
| Asian | 4 | 1 |
| Hispanic | 54 | 1 |
| Two or More Races | 19 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Victorville vs Piqua
- A higher percentage of Black residents are in Victorville at 17% compared to 2% in Piqua.
- The percentage of White residents is higher in Piqua at 92% compared to 4% in Victorville.
- The Asian population is larger in Victorville at 4% compared to 1% in Piqua.
- The Hispanic community is larger in Victorville at 54% compared to 1% in Piqua.
- More residents identify as two or more races in Victorville at 19% compared to 4% in Piqua.
- A greater percentage of American Indian residents live in Victorville at 2% compared to 0% in Piqua.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Victorville | Piqua |
|---|---|---|
| Mental Health Not Good | 18.4% | 18.8% |
| Physical Health Not Good | 14.4% | 13.1% |
| Depression | 19.0% | 23.9% |
| Smoking | 16.2% | 23.2% |
| Binge Drinking | 14.8% | 17.2% |
| Obesity | 41.3% | 42.0% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Victorville vs Piqua
- In Piqua, a higher percentage report poor mental health at 18.8% compared to 18.4% in Victorville.
- Higher depression rates are seen in Piqua at 23.9% versus 19.0% in Victorville.
- Piqua has a higher smoking rate at 23.2% compared to 16.2% in Victorville.
- More residents engage in binge drinking in Piqua at 17.2% compared to 14.8% in Victorville.
- Piqua has higher obesity rates at 42.0% compared to 41.3% in Victorville.
- There is a higher percentage of disabled individuals in Piqua at 14.0% 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 | Piqua |
|---|---|---|
| No Schooling | 1.7% (2,334) | 0.5% (109) |
| High School Diploma | 15.1% (20,711) | 24.5% (5,047) |
| Less than High School | 24.1% (33,076) | 13.5% (2,775) |
| Bachelor's Degree and Higher | 6.6% (9,125) | 8.9% (1,835) |
Education Levels Comparison: Victorville vs Piqua
- A higher percentage of residents in Victorville have no formal schooling at 1.7% compared to 0.5% in Piqua.
- In Piqua, the rate of residents with high school diplomas is higher at 24.5% compared to 15.1% in Victorville.
- More residents in Victorville have less than a high school education at 24.1% compared to 13.5% in Piqua.
- In Piqua, a larger share of residents have a bachelor's degree or higher at 8.9% 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.