Demographics details for Wheeling, WV vs Stanley, VA
Population Overview
Compare main population characteristics in Wheeling, WV vs Stanley, VA.
| Data | Wheeling | Stanley |
|---|---|---|
| Population | 26,391 | 1,702 |
| Median Age | 45.0 years | 41.1 years |
| Median Income | $46,516 | $42,976 |
| Married Families | 34.0% | 31.0% |
| Poverty Level | 18% | Data is updating |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Wheeling vs Stanley
- In Wheeling, the population is higher at 26,391, compared to 1,702 in Stanley.
- Residents in Wheeling have a higher median age of 45.0 years compared to 41.1 years in Stanley.
- Wheeling has a higher median income of $46,516 compared to $42,976 in Stanley.
- A higher percentage of married families is found in Wheeling at 34.0% compared to 31.0% in Stanley.
- Wheeling has a higher poverty level at 18% compared to 0% in Stanley.
- The unemployment rate in Wheeling is higher at 4.1%, compared to 3.5% in Stanley.
Demographics
Demographics Wheeling vs Stanley provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Stanley |
|---|---|---|
| Black | 4 | Data is updating |
| White | 90 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 2 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeling vs Stanley
- A higher percentage of Black residents are in Wheeling at 4% compared to 0% in Stanley.
- The percentage of White residents is higher in Stanley at 95% compared to 90% in Wheeling.
- The Asian population is larger in Wheeling at 1% compared to 0% in Stanley.
- Stanley has a higher percentage of Hispanic residents at 2%, compared to 1% in Wheeling.
- More residents identify as two or more races in Wheeling at 4% compared to 3% in Stanley.
- The percentage of American Indian residents is the same in both Wheeling and Stanley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Stanley |
|---|---|---|
| Mental Health Not Good | 19.5% | 20.1% |
| Physical Health Not Good | 13.3% | 14.1% |
| Depression | 28.7% | 27.4% |
| Smoking | 21.0% | 23.9% |
| Binge Drinking | 14.4% | 16.8% |
| Obesity | 40.4% | 40.4% |
| Disability Percentage | 17.0% | 24.0% |
Health Statistics Comparison: Wheeling vs Stanley
- In Stanley, a higher percentage report poor mental health at 20.1% compared to 19.5% in Wheeling.
- Depression is more prevalent in Wheeling at 28.7% compared to 27.4% in Stanley.
- Stanley has a higher smoking rate at 23.9% compared to 21.0% in Wheeling.
- More residents engage in binge drinking in Stanley at 16.8% compared to 14.4% in Wheeling.
- Both cities have the same obesity rates at 40.4%.
- There is a higher percentage of disabled individuals in Stanley at 24.0% compared to 17.0% in Wheeling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeling | Stanley |
|---|---|---|
| No Schooling | 0.5% (130) | 0.6% (10) |
| High School Diploma | 22.3% (5,888) | 28.0% (477) |
| Less than High School | 10.1% (2,653) | 38.5% (656) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 7.4% (126) |
Education Levels Comparison: Wheeling vs Stanley
- In Stanley, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Wheeling.
- In Stanley, the rate of residents with high school diplomas is higher at 28.0% compared to 22.3% in Wheeling.
- The percentage of residents with less than a high school education is higher in Stanley at 38.5%, compared to 10.1% in Wheeling.
- A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 7.4% in Stanley.
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.