Demographics details for Bluefield, WV vs Oxnard, CA
Population Overview
Compare main population characteristics in Bluefield, WV vs Oxnard, CA.
| Data | Bluefield | Oxnard |
|---|---|---|
| Population | 9,408 | 200,415 |
| Median Age | 43.9 years | 33.5 years |
| Median Income | $45,854 | $90,409 |
| Married Families | 36.0% | 34.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 3.1 | 4.9 |
Population Comparison: Bluefield vs Oxnard
- The population in Oxnard is higher at 200,415, compared to 9,408 in Bluefield.
- Residents in Bluefield have a higher median age of 43.9 years compared to 33.5 years in Oxnard.
- Oxnard has a higher median income of $90,409, compared to $45,854 in Bluefield.
- A higher percentage of married families is found in Bluefield at 36.0% compared to 34.0% in Oxnard.
- Bluefield has a higher poverty level at 12% compared to 11% in Oxnard.
- Oxnard has a higher unemployment rate at 4.9% compared to 3.1% in Bluefield.
Demographics
Demographics Bluefield vs Oxnard provide insight into the diversity of the communities to compare.
| Demographic | Bluefield | Oxnard |
|---|---|---|
| Black | 23 | 2 |
| White | 66 | -16 |
| Asian | Data is updating | 7 |
| Hispanic | 3 | 77 |
| Two or More Races | 8 | 27 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Bluefield vs Oxnard
- A higher percentage of Black residents are in Bluefield at 23% compared to 2% in Oxnard.
- Bluefield has a higher percentage of White residents at 66% compared to -16% in Oxnard.
- In Oxnard, the Asian population stands at 7%, greater than 0% in Bluefield.
- Oxnard has a higher percentage of Hispanic residents at 77%, compared to 3% in Bluefield.
- The percentage of residents identifying as two or more races is higher in Oxnard at 27%, compared to 8% in Bluefield.
- In Oxnard, the percentage of American Indian residents is higher at 3%, compared to 0% in Bluefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bluefield | Oxnard |
|---|---|---|
| Mental Health Not Good | 22.1% | 15.8% |
| Physical Health Not Good | 15.9% | 13.1% |
| Depression | 28.4% | 17.0% |
| Smoking | 21.4% | 13.2% |
| Binge Drinking | 12.0% | 15.1% |
| Obesity | 46.3% | 30.3% |
| Disability Percentage | 27.0% | 9.0% |
Health Statistics Comparison: Bluefield vs Oxnard
- More residents in Bluefield report poor mental health at 22.1% compared to 15.8% in Oxnard.
- Depression is more prevalent in Bluefield at 28.4% compared to 17.0% in Oxnard.
- Smoking is more prevalent in Bluefield at 21.4% compared to 13.2% in Oxnard.
- More residents engage in binge drinking in Oxnard at 15.1% compared to 12.0% in Bluefield.
- Obesity rates are higher in Bluefield at 46.3% compared to 30.3% in Oxnard.
- Disability percentages are higher in Bluefield at 27.0% compared to 9.0% in Oxnard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bluefield | Oxnard |
|---|---|---|
| No Schooling | 0.2% (21) | 3.5% (7,053) |
| High School Diploma | 19.0% (1,788) | 15.0% (30,118) |
| Less than High School | 16.0% (1,505) | 38.1% (76,346) |
| Bachelor's Degree and Higher | 19.4% (1,826) | 12.3% (24,627) |
Education Levels Comparison: Bluefield vs Oxnard
- In Oxnard, a larger percentage of residents lack formal schooling at 3.5% compared to 0.2% in Bluefield.
- A higher percentage of residents in Bluefield hold a high school diploma at 19.0% compared to 15.0% in Oxnard.
- The percentage of residents with less than a high school education is higher in Oxnard at 38.1%, compared to 16.0% in Bluefield.
- A higher percentage of residents in Bluefield hold a bachelor's degree or higher at 19.4% compared to 12.3% in Oxnard.
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.