Demographics details for Bluefield, WV vs Bay minette, AL
Population Overview
Compare main population characteristics in Bluefield, WV vs Bay minette, AL.
| Data | Bluefield | Bay minette |
|---|---|---|
| Population | 9,408 | 8,277 |
| Median Age | 43.9 years | 35.6 years |
| Median Income | $45,854 | $36,899 |
| Married Families | 36.0% | 31.0% |
| Poverty Level | 12% | 20% |
| Unemployment Rate | 3.1 | 3.5 |
Population Comparison: Bluefield vs Bay minette
- In Bluefield, the population is higher at 9,408, compared to 8,277 in Bay minette.
- Residents in Bluefield have a higher median age of 43.9 years compared to 35.6 years in Bay minette.
- Bluefield has a higher median income of $45,854 compared to $36,899 in Bay minette.
- A higher percentage of married families is found in Bluefield at 36.0% compared to 31.0% in Bay minette.
- The poverty level is higher in Bay minette at 20%, compared to 12% in Bluefield.
- Bay minette has a higher unemployment rate at 3.5% compared to 3.1% in Bluefield.
Demographics
Demographics Bluefield vs Bay minette provide insight into the diversity of the communities to compare.
| Demographic | Bluefield | Bay minette |
|---|---|---|
| Black | 23 | 39 |
| White | 66 | 52 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 4 |
| Two or More Races | 8 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bluefield vs Bay minette
- In Bay minette, the percentage of Black residents is higher at 39% compared to 23% in Bluefield.
- Bluefield has a higher percentage of White residents at 66% compared to 52% in Bay minette.
- Both Bluefield and Bay minette have the same percentage of Asian residents at 0%.
- Bay minette has a higher percentage of Hispanic residents at 4%, compared to 3% in Bluefield.
- More residents identify as two or more races in Bluefield at 8% compared to 4% in Bay minette.
- In Bay minette, 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 | Bay minette |
|---|---|---|
| Mental Health Not Good | 22.1% | 19.1% |
| Physical Health Not Good | 15.9% | 13.1% |
| Depression | 28.4% | 22.6% |
| Smoking | 21.4% | 19.3% |
| Binge Drinking | 12.0% | 16.1% |
| Obesity | 46.3% | 42.0% |
| Disability Percentage | 27.0% | 13.0% |
Health Statistics Comparison: Bluefield vs Bay minette
- More residents in Bluefield report poor mental health at 22.1% compared to 19.1% in Bay minette.
- Depression is more prevalent in Bluefield at 28.4% compared to 22.6% in Bay minette.
- Smoking is more prevalent in Bluefield at 21.4% compared to 19.3% in Bay minette.
- More residents engage in binge drinking in Bay minette at 16.1% compared to 12.0% in Bluefield.
- Obesity rates are higher in Bluefield at 46.3% compared to 42.0% in Bay minette.
- Disability percentages are higher in Bluefield at 27.0% compared to 13.0% in Bay minette.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bluefield | Bay minette |
|---|---|---|
| No Schooling | 0.2% (21) | 0.8% (68) |
| High School Diploma | 19.0% (1,788) | 20.4% (1,685) |
| Less than High School | 16.0% (1,505) | 19.6% (1,625) |
| Bachelor's Degree and Higher | 19.4% (1,826) | 6.2% (516) |
Education Levels Comparison: Bluefield vs Bay minette
- In Bay minette, a larger percentage of residents lack formal schooling at 0.8% compared to 0.2% in Bluefield.
- In Bay minette, the rate of residents with high school diplomas is higher at 20.4% compared to 19.0% in Bluefield.
- The percentage of residents with less than a high school education is higher in Bay minette at 19.6%, 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 6.2% in Bay minette.
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.