Demographics details for Buckhannon, WV vs Greenbelt, MD
Population Overview
Compare main population characteristics in Buckhannon, WV vs Greenbelt, MD.
| Data | Buckhannon | Greenbelt |
|---|---|---|
| Population | 5,106 | 24,360 |
| Median Age | 35.8 years | 37.2 years |
| Median Income | $43,621 | $82,019 |
| Married Families | 28.0% | 30.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 5.2 | 6.5 |
Population Comparison: Buckhannon vs Greenbelt
- The population in Greenbelt is higher at 24,360, compared to 5,106 in Buckhannon.
- The median age in Greenbelt is higher at 37.2 years, compared to 35.8 years in Buckhannon.
- Greenbelt has a higher median income of $82,019, compared to $43,621 in Buckhannon.
- In Greenbelt, the percentage of married families is higher at 30.0%, compared to 28.0% in Buckhannon.
- Buckhannon has a higher poverty level at 12% compared to 9% in Greenbelt.
- Greenbelt has a higher unemployment rate at 6.5% compared to 5.2% in Buckhannon.
Demographics
Demographics Buckhannon vs Greenbelt provide insight into the diversity of the communities to compare.
| Demographic | Buckhannon | Greenbelt |
|---|---|---|
| Black | 7 | 48 |
| White | 84 | 17 |
| Asian | 2 | 12 |
| Hispanic | 4 | 16 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Buckhannon vs Greenbelt
- In Greenbelt, the percentage of Black residents is higher at 48% compared to 7% in Buckhannon.
- Buckhannon has a higher percentage of White residents at 84% compared to 17% in Greenbelt.
- In Greenbelt, the Asian population stands at 12%, greater than 2% in Buckhannon.
- Greenbelt has a higher percentage of Hispanic residents at 16%, compared to 4% in Buckhannon.
- The percentage of residents identifying as two or more races is higher in Greenbelt at 6%, compared to 3% in Buckhannon.
- In Greenbelt, the percentage of American Indian residents is higher at 1%, compared to 0% in Buckhannon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Buckhannon | Greenbelt |
|---|---|---|
| Mental Health Not Good | 19.4% | 12.9% |
| Physical Health Not Good | 13.4% | 8.1% |
| Depression | 26.1% | 13.0% |
| Smoking | 20.3% | 9.8% |
| Binge Drinking | 14.5% | 12.3% |
| Obesity | 40.4% | 36.0% |
| Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Buckhannon vs Greenbelt
- More residents in Buckhannon report poor mental health at 19.4% compared to 12.9% in Greenbelt.
- Depression is more prevalent in Buckhannon at 26.1% compared to 13.0% in Greenbelt.
- Smoking is more prevalent in Buckhannon at 20.3% compared to 9.8% in Greenbelt.
- Binge drinking is more common in Buckhannon at 14.5% compared to 12.3% in Greenbelt.
- Obesity rates are higher in Buckhannon at 40.4% compared to 36.0% in Greenbelt.
- Disability percentages are higher in Buckhannon at 15.0% compared to 10.0% in Greenbelt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Buckhannon | Greenbelt |
|---|---|---|
| No Schooling | 0.5% (24) | 2.2% (530) |
| High School Diploma | 20.0% (1,022) | 9.0% (2,195) |
| Less than High School | 10.4% (529) | 11.4% (2,766) |
| Bachelor's Degree and Higher | 14.9% (763) | 32.2% (7,832) |
Education Levels Comparison: Buckhannon vs Greenbelt
- In Greenbelt, a larger percentage of residents lack formal schooling at 2.2% compared to 0.5% in Buckhannon.
- A higher percentage of residents in Buckhannon hold a high school diploma at 20.0% compared to 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Greenbelt at 11.4%, compared to 10.4% in Buckhannon.
- In Greenbelt, a larger share of residents have a bachelor's degree or higher at 32.2% 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.