Demographics details for Tulsa, OK vs Bluefield, WV
Population Overview
Compare main population characteristics in Tulsa, OK vs Bluefield, WV.
| Data | Tulsa | Bluefield |
|---|---|---|
| Population | 411,867 | 9,408 |
| Median Age | 35.6 years | 43.9 years |
| Median Income | $56,648 | $45,854 |
| Married Families | 33.0% | 36.0% |
| Poverty Level | 16% | 12% |
| Unemployment Rate | 3.9 | 3.1 |
Population Comparison: Tulsa vs Bluefield
- In Tulsa, the population is higher at 411,867, compared to 9,408 in Bluefield.
- The median age in Bluefield is higher at 43.9 years, compared to 35.6 years in Tulsa.
- Tulsa has a higher median income of $56,648 compared to $45,854 in Bluefield.
- In Bluefield, the percentage of married families is higher at 36.0%, compared to 33.0% in Tulsa.
- Tulsa has a higher poverty level at 16% compared to 12% in Bluefield.
- The unemployment rate in Tulsa is higher at 3.9%, compared to 3.1% in Bluefield.
Demographics
Demographics Tulsa vs Bluefield provide insight into the diversity of the communities to compare.
| Demographic | Tulsa | Bluefield |
|---|---|---|
| Black | 15 | 23 |
| White | 48 | 66 |
| Asian | 3 | Data is updating |
| Hispanic | 17 | 3 |
| Two or More Races | 13 | 8 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Tulsa vs Bluefield
- In Bluefield, the percentage of Black residents is higher at 23% compared to 15% in Tulsa.
- The percentage of White residents is higher in Bluefield at 66% compared to 48% in Tulsa.
- The Asian population is larger in Tulsa at 3% compared to 0% in Bluefield.
- The Hispanic community is larger in Tulsa at 17% compared to 3% in Bluefield.
- More residents identify as two or more races in Tulsa at 13% compared to 8% in Bluefield.
- A greater percentage of American Indian residents live in Tulsa at 4% compared to 0% in Bluefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tulsa | Bluefield |
|---|---|---|
| Mental Health Not Good | 18.6% | 22.1% |
| Physical Health Not Good | 12.7% | 15.9% |
| Depression | 25.2% | 28.4% |
| Smoking | 18.7% | 21.4% |
| Binge Drinking | 13.3% | 12.0% |
| Obesity | 38.1% | 46.3% |
| Disability Percentage | 14.0% | 27.0% |
Health Statistics Comparison: Tulsa vs Bluefield
- In Bluefield, a higher percentage report poor mental health at 22.1% compared to 18.6% in Tulsa.
- Higher depression rates are seen in Bluefield at 28.4% versus 25.2% in Tulsa.
- Bluefield has a higher smoking rate at 21.4% compared to 18.7% in Tulsa.
- Binge drinking is more common in Tulsa at 13.3% compared to 12.0% in Bluefield.
- Bluefield has higher obesity rates at 46.3% compared to 38.1% in Tulsa.
- There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 14.0% in Tulsa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tulsa | Bluefield |
|---|---|---|
| No Schooling | 1.2% (5,029) | 0.2% (21) |
| High School Diploma | 14.0% (57,640) | 19.0% (1,788) |
| Less than High School | 13.8% (56,774) | 16.0% (1,505) |
| Bachelor's Degree and Higher | 21.7% (89,557) | 19.4% (1,826) |
Education Levels Comparison: Tulsa vs Bluefield
- A higher percentage of residents in Tulsa have no formal schooling at 1.2% compared to 0.2% in Bluefield.
- In Bluefield, the rate of residents with high school diplomas is higher at 19.0% compared to 14.0% in Tulsa.
- The percentage of residents with less than a high school education is higher in Bluefield at 16.0%, compared to 13.8% in Tulsa.
- A higher percentage of residents in Tulsa hold a bachelor's degree or higher at 21.7% 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.