Demographics details for Norfolk, VA vs Buckhannon, WV
Population Overview
Compare main population characteristics in Norfolk, VA vs Buckhannon, WV.
| Data | Norfolk | Buckhannon |
|---|---|---|
| Population | 232,995 | 5,106 |
| Median Age | 32.2 years | 35.8 years |
| Median Income | $60,998 | $43,621 |
| Married Families | 30.0% | 28.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 3.4 | 5.2 |
Population Comparison: Norfolk vs Buckhannon
- In Norfolk, the population is higher at 232,995, compared to 5,106 in Buckhannon.
- The median age in Buckhannon is higher at 35.8 years, compared to 32.2 years in Norfolk.
- Norfolk has a higher median income of $60,998 compared to $43,621 in Buckhannon.
- A higher percentage of married families is found in Norfolk at 30.0% compared to 28.0% in Buckhannon.
- The poverty level is higher in Buckhannon at 12%, compared to 11% in Norfolk.
- Buckhannon has a higher unemployment rate at 5.2% compared to 3.4% in Norfolk.
Demographics
Demographics Norfolk vs Buckhannon provide insight into the diversity of the communities to compare.
| Demographic | Norfolk | Buckhannon |
|---|---|---|
| Black | 41 | 7 |
| White | 39 | 84 |
| Asian | 4 | 2 |
| Hispanic | 9 | 4 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Norfolk vs Buckhannon
- A higher percentage of Black residents are in Norfolk at 41% compared to 7% in Buckhannon.
- The percentage of White residents is higher in Buckhannon at 84% compared to 39% in Norfolk.
- The Asian population is larger in Norfolk at 4% compared to 2% in Buckhannon.
- The Hispanic community is larger in Norfolk at 9% compared to 4% in Buckhannon.
- More residents identify as two or more races in Norfolk at 7% compared to 3% in Buckhannon.
- The percentage of American Indian residents is the same in both Norfolk and Buckhannon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Norfolk | Buckhannon |
|---|---|---|
| Mental Health Not Good | 17.1% | 19.4% |
| Physical Health Not Good | 12.1% | 13.4% |
| Depression | 20.8% | 26.1% |
| Smoking | 18.9% | 20.3% |
| Binge Drinking | 17.5% | 14.5% |
| Obesity | 42.9% | 40.4% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Norfolk vs Buckhannon
- In Buckhannon, a higher percentage report poor mental health at 19.4% compared to 17.1% in Norfolk.
- Higher depression rates are seen in Buckhannon at 26.1% versus 20.8% in Norfolk.
- Buckhannon has a higher smoking rate at 20.3% compared to 18.9% in Norfolk.
- Binge drinking is more common in Norfolk at 17.5% compared to 14.5% in Buckhannon.
- Obesity rates are higher in Norfolk at 42.9% compared to 40.4% in Buckhannon.
- There is a higher percentage of disabled individuals in Buckhannon at 15.0% compared to 13.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Norfolk | Buckhannon |
|---|---|---|
| No Schooling | 1.0% (2,387) | 0.5% (24) |
| High School Diploma | 12.9% (30,020) | 20.0% (1,022) |
| Less than High School | 9.5% (22,233) | 10.4% (529) |
| Bachelor's Degree and Higher | 21.0% (48,995) | 14.9% (763) |
Education Levels Comparison: Norfolk vs Buckhannon
- A higher percentage of residents in Norfolk have no formal schooling at 1.0% compared to 0.5% in Buckhannon.
- In Buckhannon, the rate of residents with high school diplomas is higher at 20.0% compared to 12.9% in Norfolk.
- The percentage of residents with less than a high school education is higher in Buckhannon at 10.4%, compared to 9.5% in Norfolk.
- A higher percentage of residents in Norfolk hold a bachelor's degree or higher at 21.0% compared to 14.9% in Buckhannon.
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.