Demographics details for Bluefield, WV vs Pasadena, MD
Population Overview
Compare main population characteristics in Bluefield, WV vs Pasadena, MD.
| Data | Bluefield | Pasadena |
|---|---|---|
| Population | 9,408 | 32,161 |
| Median Age | 43.9 years | 35.1 years |
| Median Income | $45,854 | $113,944 |
| Married Families | 36.0% | 43.0% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 3.1 | 4.5 |
Population Comparison: Bluefield vs Pasadena
- The population in Pasadena is higher at 32,161, compared to 9,408 in Bluefield.
- Residents in Bluefield have a higher median age of 43.9 years compared to 35.1 years in Pasadena.
- Pasadena has a higher median income of $113,944, compared to $45,854 in Bluefield.
- In Pasadena, the percentage of married families is higher at 43.0%, compared to 36.0% in Bluefield.
- Bluefield has a higher poverty level at 12% compared to 6% in Pasadena.
- Pasadena has a higher unemployment rate at 4.5% compared to 3.1% in Bluefield.
Demographics
Demographics Bluefield vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Bluefield | Pasadena |
|---|---|---|
| Black | 23 | 17 |
| White | 66 | 66 |
| Asian | Data is updating | 4 |
| Hispanic | 3 | 7 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bluefield vs Pasadena
- A higher percentage of Black residents are in Bluefield at 23% compared to 17% in Pasadena.
- The percentage of White residents is the same in both Bluefield and Pasadena at 66%.
- In Pasadena, the Asian population stands at 4%, greater than 0% in Bluefield.
- Pasadena has a higher percentage of Hispanic residents at 7%, compared to 3% in Bluefield.
- More residents identify as two or more races in Bluefield at 8% compared to 6% in Pasadena.
- The percentage of American Indian residents is the same in both Bluefield and Pasadena at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bluefield | Pasadena |
|---|---|---|
| Mental Health Not Good | 22.1% | 15.4% |
| Physical Health Not Good | 15.9% | 9.3% |
| Depression | 28.4% | 21.4% |
| Smoking | 21.4% | 13.2% |
| Binge Drinking | 12.0% | 17.8% |
| Obesity | 46.3% | 35.6% |
| Disability Percentage | 27.0% | 10.0% |
Health Statistics Comparison: Bluefield vs Pasadena
- More residents in Bluefield report poor mental health at 22.1% compared to 15.4% in Pasadena.
- Depression is more prevalent in Bluefield at 28.4% compared to 21.4% in Pasadena.
- Smoking is more prevalent in Bluefield at 21.4% compared to 13.2% in Pasadena.
- More residents engage in binge drinking in Pasadena at 17.8% compared to 12.0% in Bluefield.
- Obesity rates are higher in Bluefield at 46.3% compared to 35.6% in Pasadena.
- Disability percentages are higher in Bluefield at 27.0% compared to 10.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bluefield | Pasadena |
|---|---|---|
| No Schooling | 0.2% (21) | 0.6% (191) |
| High School Diploma | 19.0% (1,788) | 17.5% (5,624) |
| Less than High School | 16.0% (1,505) | 8.8% (2,835) |
| Bachelor's Degree and Higher | 19.4% (1,826) | 23.8% (7,658) |
Education Levels Comparison: Bluefield vs Pasadena
- In Pasadena, a larger percentage of residents lack formal schooling at 0.6% compared to 0.2% in Bluefield.
- A higher percentage of residents in Bluefield hold a high school diploma at 19.0% compared to 17.5% in Pasadena.
- More residents in Bluefield have less than a high school education at 16.0% compared to 8.8% in Pasadena.
- In Pasadena, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 19.4% in Bluefield.
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.