Demographics details for Clyde, OH vs Bluefield, WV
Population Overview
Compare main population characteristics in Clyde, OH vs Bluefield, WV.
| Data | Clyde | Bluefield |
|---|---|---|
| Population | 6,318 | 9,408 |
| Median Age | 49.0 years | 43.9 years |
| Median Income | $55,956 | $45,854 |
| Married Families | 40.0% | 36.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.5 | 3.1 |
Population Comparison: Clyde vs Bluefield
- The population in Bluefield is higher at 9,408, compared to 6,318 in Clyde.
- Residents in Clyde have a higher median age of 49.0 years compared to 43.9 years in Bluefield.
- Clyde has a higher median income of $55,956 compared to $45,854 in Bluefield.
- A higher percentage of married families is found in Clyde at 40.0% compared to 36.0% in Bluefield.
- The poverty level is higher in Bluefield at 12%, compared to 10% in Clyde.
- The unemployment rate in Clyde is higher at 4.5%, compared to 3.1% in Bluefield.
Demographics
Demographics Clyde vs Bluefield provide insight into the diversity of the communities to compare.
| Demographic | Clyde | Bluefield |
|---|---|---|
| Black | 1 | 23 |
| White | 89 | 66 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 3 |
| Two or More Races | 3 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Clyde vs Bluefield
- In Bluefield, the percentage of Black residents is higher at 23% compared to 1% in Clyde.
- Clyde has a higher percentage of White residents at 89% compared to 66% in Bluefield.
- Both Clyde and Bluefield have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Clyde at 6% compared to 3% in Bluefield.
- The percentage of residents identifying as two or more races is higher in Bluefield at 8%, compared to 3% in Clyde.
- A greater percentage of American Indian residents live in Clyde at 1% compared to 0% in Bluefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clyde | Bluefield |
|---|---|---|
| Mental Health Not Good | 17.6% | 22.1% |
| Physical Health Not Good | 12.0% | 15.9% |
| Depression | 22.9% | 28.4% |
| Smoking | 21.8% | 21.4% |
| Binge Drinking | 18.7% | 12.0% |
| Obesity | 41.8% | 46.3% |
| Disability Percentage | 21.0% | 27.0% |
Health Statistics Comparison: Clyde vs Bluefield
- In Bluefield, a higher percentage report poor mental health at 22.1% compared to 17.6% in Clyde.
- Higher depression rates are seen in Bluefield at 28.4% versus 22.9% in Clyde.
- Smoking is more prevalent in Clyde at 21.8% compared to 21.4% in Bluefield.
- Binge drinking is more common in Clyde at 18.7% compared to 12.0% in Bluefield.
- Bluefield has higher obesity rates at 46.3% compared to 41.8% in Clyde.
- There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 21.0% in Clyde.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clyde | Bluefield |
|---|---|---|
| No Schooling | 0.5% (30) | 0.2% (21) |
| High School Diploma | 23.4% (1,481) | 19.0% (1,788) |
| Less than High School | 11.2% (708) | 16.0% (1,505) |
| Bachelor's Degree and Higher | 15.3% (965) | 19.4% (1,826) |
Education Levels Comparison: Clyde vs Bluefield
- A higher percentage of residents in Clyde have no formal schooling at 0.5% compared to 0.2% in Bluefield.
- A higher percentage of residents in Clyde hold a high school diploma at 23.4% compared to 19.0% in Bluefield.
- The percentage of residents with less than a high school education is higher in Bluefield at 16.0%, compared to 11.2% in Clyde.
- In Bluefield, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 15.3% in Clyde.
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.