Demographics details for Waxhaw, NC vs Bluefield, WV
Population Overview
Compare main population characteristics in Waxhaw, NC vs Bluefield, WV.
| Data | Waxhaw | Bluefield |
|---|---|---|
| Population | 22,533 | 9,408 |
| Median Age | 35.7 years | 43.9 years |
| Median Income | $124,711 | $45,854 |
| Married Families | 41.0% | 36.0% |
| Poverty Level | 4% | 12% |
| Unemployment Rate | 3.2 | 3.1 |
Population Comparison: Waxhaw vs Bluefield
- In Waxhaw, the population is higher at 22,533, compared to 9,408 in Bluefield.
- The median age in Bluefield is higher at 43.9 years, compared to 35.7 years in Waxhaw.
- Waxhaw has a higher median income of $124,711 compared to $45,854 in Bluefield.
- A higher percentage of married families is found in Waxhaw at 41.0% compared to 36.0% in Bluefield.
- The poverty level is higher in Bluefield at 12%, compared to 4% in Waxhaw.
- The unemployment rate in Waxhaw is higher at 3.2%, compared to 3.1% in Bluefield.
Demographics
Demographics Waxhaw vs Bluefield provide insight into the diversity of the communities to compare.
| Demographic | Waxhaw | Bluefield |
|---|---|---|
| Black | 8 | 23 |
| White | 70 | 66 |
| Asian | 5 | Data is updating |
| Hispanic | 9 | 3 |
| Two or More Races | 8 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waxhaw vs Bluefield
- In Bluefield, the percentage of Black residents is higher at 23% compared to 8% in Waxhaw.
- Waxhaw has a higher percentage of White residents at 70% compared to 66% in Bluefield.
- The Asian population is larger in Waxhaw at 5% compared to 0% in Bluefield.
- The Hispanic community is larger in Waxhaw at 9% compared to 3% in Bluefield.
- Both Waxhaw and Bluefield have the same percentage of residents identifying as two or more races at 8%.
- The percentage of American Indian residents is the same in both Waxhaw and Bluefield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waxhaw | Bluefield |
|---|---|---|
| Mental Health Not Good | 13.4% | 22.1% |
| Physical Health Not Good | 8.1% | 15.9% |
| Depression | 21.1% | 28.4% |
| Smoking | 11.0% | 21.4% |
| Binge Drinking | 18.9% | 12.0% |
| Obesity | 29.3% | 46.3% |
| Disability Percentage | 5.0% | 27.0% |
Health Statistics Comparison: Waxhaw vs Bluefield
- In Bluefield, a higher percentage report poor mental health at 22.1% compared to 13.4% in Waxhaw.
- Higher depression rates are seen in Bluefield at 28.4% versus 21.1% in Waxhaw.
- Bluefield has a higher smoking rate at 21.4% compared to 11.0% in Waxhaw.
- Binge drinking is more common in Waxhaw at 18.9% compared to 12.0% in Bluefield.
- Bluefield has higher obesity rates at 46.3% compared to 29.3% in Waxhaw.
- There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 5.0% in Waxhaw.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waxhaw | Bluefield |
|---|---|---|
| No Schooling | 0.3% (58) | 0.2% (21) |
| High School Diploma | 7.6% (1,708) | 19.0% (1,788) |
| Less than High School | 3.5% (785) | 16.0% (1,505) |
| Bachelor's Degree and Higher | 29.3% (6,610) | 19.4% (1,826) |
Education Levels Comparison: Waxhaw vs Bluefield
- A higher percentage of residents in Waxhaw have no formal schooling at 0.3% compared to 0.2% in Bluefield.
- In Bluefield, the rate of residents with high school diplomas is higher at 19.0% compared to 7.6% in Waxhaw.
- The percentage of residents with less than a high school education is higher in Bluefield at 16.0%, compared to 3.5% in Waxhaw.
- A higher percentage of residents in Waxhaw hold a bachelor's degree or higher at 29.3% 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.