Demographics details for Binford, ND vs Victorville, CA
Population Overview
Compare main population characteristics in Binford, ND vs Victorville, CA.
| Data | Binford | Victorville |
|---|---|---|
| Population | 163 | 137,221 |
| Median Age | 42.5 years | 31.8 years |
| Median Income | $46,250 | $65,746 |
| Married Families | 33.0% | 31.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 2.5 | 7.5 |
Population Comparison: Binford vs Victorville
- The population in Victorville is higher at 137,221, compared to 163 in Binford.
- Residents in Binford have a higher median age of 42.5 years compared to 31.8 years in Victorville.
- Victorville has a higher median income of $65,746, compared to $46,250 in Binford.
- A higher percentage of married families is found in Binford at 33.0% compared to 31.0% in Victorville.
- The poverty level is higher in Victorville at 12%, compared to 10% in Binford.
- Victorville has a higher unemployment rate at 7.5% compared to 2.5% in Binford.
Demographics
Demographics Binford vs Victorville provide insight into the diversity of the communities to compare.
| Demographic | Binford | Victorville |
|---|---|---|
| Black | Data is updating | 17 |
| White | 94 | 4 |
| Asian | Data is updating | 4 |
| Hispanic | 6 | 54 |
| Two or More Races | Data is updating | 19 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Binford vs Victorville
- In Victorville, the percentage of Black residents is higher at 17% compared to 0% in Binford.
- Binford has a higher percentage of White residents at 94% compared to 4% in Victorville.
- In Victorville, the Asian population stands at 4%, greater than 0% in Binford.
- Victorville has a higher percentage of Hispanic residents at 54%, compared to 6% in Binford.
- The percentage of residents identifying as two or more races is higher in Victorville at 19%, compared to 0% in Binford.
- In Victorville, the percentage of American Indian residents is higher at 2%, compared to 0% in Binford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Binford | Victorville |
|---|---|---|
| Mental Health Not Good | 14.3% | 18.4% |
| Physical Health Not Good | 9.8% | 14.4% |
| Depression | 20.1% | 19.0% |
| Smoking | 17.0% | 16.2% |
| Binge Drinking | 21.9% | 14.8% |
| Obesity | 40.0% | 41.3% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Binford vs Victorville
- In Victorville, a higher percentage report poor mental health at 18.4% compared to 14.3% in Binford.
- Depression is more prevalent in Binford at 20.1% compared to 19.0% in Victorville.
- Smoking is more prevalent in Binford at 17.0% compared to 16.2% in Victorville.
- Binge drinking is more common in Binford at 21.9% compared to 14.8% in Victorville.
- Victorville has higher obesity rates at 41.3% compared to 40.0% in Binford.
- There is a higher percentage of disabled individuals in Victorville at 13.0% compared to 10.0% in Binford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Binford | Victorville |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (2,334) |
| High School Diploma | 23.9% (39) | 15.1% (20,711) |
| Less than High School | 11.0% (18) | 24.1% (33,076) |
| Bachelor's Degree and Higher | 17.2% (28) | 6.6% (9,125) |
Education Levels Comparison: Binford vs Victorville
- In Victorville, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Binford.
- A higher percentage of residents in Binford hold a high school diploma at 23.9% 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 11.0% in Binford.
- A higher percentage of residents in Binford hold 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.