Demographics details for Dayton, OH vs Victorville, CA
Population Overview
Compare main population characteristics in Dayton, OH vs Victorville, CA.
| Data | Dayton | Victorville |
|---|---|---|
| Population | 135,944 | 137,221 |
| Median Age | 34.0 years | 31.8 years |
| Median Income | $41,443 | $65,746 |
| Married Families | 21.0% | 31.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 6.8 | 7.5 |
Population Comparison: Dayton vs Victorville
- The population in Victorville is higher at 137,221, compared to 135,944 in Dayton.
- Residents in Dayton have a higher median age of 34.0 years compared to 31.8 years in Victorville.
- Victorville has a higher median income of $65,746, compared to $41,443 in Dayton.
- In Victorville, the percentage of married families is higher at 31.0%, compared to 21.0% in Dayton.
- Dayton has a higher poverty level at 18% compared to 12% in Victorville.
- Victorville has a higher unemployment rate at 7.5% compared to 6.8% in Dayton.
Demographics
Demographics Dayton vs Victorville provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Victorville |
|---|---|---|
| Black | 38 | 17 |
| White | 50 | 4 |
| Asian | 1 | 4 |
| Hispanic | 5 | 54 |
| Two or More Races | 6 | 19 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Dayton vs Victorville
- A higher percentage of Black residents are in Dayton at 38% compared to 17% in Victorville.
- Dayton has a higher percentage of White residents at 50% compared to 4% in Victorville.
- In Victorville, the Asian population stands at 4%, greater than 1% in Dayton.
- Victorville has a higher percentage of Hispanic residents at 54%, compared to 5% in Dayton.
- The percentage of residents identifying as two or more races is higher in Victorville at 19%, compared to 6% in Dayton.
- In Victorville, the percentage of American Indian residents is higher at 2%, compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Victorville |
|---|---|---|
| Mental Health Not Good | 21.9% | 18.4% |
| Physical Health Not Good | 16.5% | 14.4% |
| Depression | 26.5% | 19.0% |
| Smoking | 26.0% | 16.2% |
| Binge Drinking | 15.2% | 14.8% |
| Obesity | 47.6% | 41.3% |
| Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Dayton vs Victorville
- More residents in Dayton report poor mental health at 21.9% compared to 18.4% in Victorville.
- Depression is more prevalent in Dayton at 26.5% compared to 19.0% in Victorville.
- Smoking is more prevalent in Dayton at 26.0% compared to 16.2% in Victorville.
- Binge drinking is more common in Dayton at 15.2% compared to 14.8% in Victorville.
- Obesity rates are higher in Dayton at 47.6% compared to 41.3% in Victorville.
- Disability percentages are higher in Dayton at 18.0% 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 | Dayton | Victorville |
|---|---|---|
| No Schooling | 0.9% (1,157) | 1.7% (2,334) |
| High School Diploma | 16.3% (22,101) | 15.1% (20,711) |
| Less than High School | 13.9% (18,900) | 24.1% (33,076) |
| Bachelor's Degree and Higher | 12.7% (17,260) | 6.6% (9,125) |
Education Levels Comparison: Dayton vs Victorville
- In Victorville, a larger percentage of residents lack formal schooling at 1.7% compared to 0.9% in Dayton.
- A higher percentage of residents in Dayton hold a high school diploma at 16.3% compared to 15.1% in Victorville.
- The percentage of residents with less than a high school education is higher in Victorville at 24.1%, compared to 13.9% in Dayton.
- A higher percentage of residents in Dayton hold a bachelor's degree or higher at 12.7% 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.