Demographics details for Bluefield, WV vs Riverside, CA
Population Overview
Compare main population characteristics in Bluefield, WV vs Riverside, CA.
| Data | Bluefield | Riverside |
|---|---|---|
| Population | 9,408 | 320,764 |
| Median Age | 43.9 years | 32.4 years |
| Median Income | $45,854 | $83,448 |
| Married Families | 36.0% | 33.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.1 | 4.9 |
Population Comparison: Bluefield vs Riverside
- The population in Riverside is higher at 320,764, compared to 9,408 in Bluefield.
- Residents in Bluefield have a higher median age of 43.9 years compared to 32.4 years in Riverside.
- Riverside has a higher median income of $83,448, compared to $45,854 in Bluefield.
- A higher percentage of married families is found in Bluefield at 36.0% compared to 33.0% in Riverside.
- The poverty level is identical in both Bluefield and Riverside at 12%.
- Riverside has a higher unemployment rate at 4.9% compared to 3.1% in Bluefield.
Demographics
Demographics Bluefield vs Riverside provide insight into the diversity of the communities to compare.
| Demographic | Bluefield | Riverside |
|---|---|---|
| Black | 23 | 6 |
| White | 66 | 18 |
| Asian | Data is updating | 8 |
| Hispanic | 3 | 55 |
| Two or More Races | 8 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bluefield vs Riverside
- A higher percentage of Black residents are in Bluefield at 23% compared to 6% in Riverside.
- Bluefield has a higher percentage of White residents at 66% compared to 18% in Riverside.
- In Riverside, the Asian population stands at 8%, greater than 0% in Bluefield.
- Riverside has a higher percentage of Hispanic residents at 55%, compared to 3% in Bluefield.
- The percentage of residents identifying as two or more races is higher in Riverside at 12%, compared to 8% in Bluefield.
- In Riverside, the percentage of American Indian residents is higher at 1%, compared to 0% in Bluefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bluefield | Riverside |
|---|---|---|
| Mental Health Not Good | 22.1% | 16.0% |
| Physical Health Not Good | 15.9% | 11.7% |
| Depression | 28.4% | 17.1% |
| Smoking | 21.4% | 13.2% |
| Binge Drinking | 12.0% | 16.1% |
| Obesity | 46.3% | 36.2% |
| Disability Percentage | 27.0% | 10.0% |
Health Statistics Comparison: Bluefield vs Riverside
- More residents in Bluefield report poor mental health at 22.1% compared to 16.0% in Riverside.
- Depression is more prevalent in Bluefield at 28.4% compared to 17.1% in Riverside.
- Smoking is more prevalent in Bluefield at 21.4% compared to 13.2% in Riverside.
- More residents engage in binge drinking in Riverside at 16.1% compared to 12.0% in Bluefield.
- Obesity rates are higher in Bluefield at 46.3% compared to 36.2% in Riverside.
- Disability percentages are higher in Bluefield at 27.0% compared to 10.0% in Riverside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bluefield | Riverside |
|---|---|---|
| No Schooling | 0.2% (21) | 2.0% (6,286) |
| High School Diploma | 19.0% (1,788) | 15.7% (50,271) |
| Less than High School | 16.0% (1,505) | 20.3% (64,976) |
| Bachelor's Degree and Higher | 19.4% (1,826) | 14.9% (47,929) |
Education Levels Comparison: Bluefield vs Riverside
- In Riverside, a larger percentage of residents lack formal schooling at 2.0% compared to 0.2% in Bluefield.
- A higher percentage of residents in Bluefield hold a high school diploma at 19.0% compared to 15.7% in Riverside.
- The percentage of residents with less than a high school education is higher in Riverside at 20.3%, 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 14.9% in Riverside.
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.