Demographics details for Tulsa, OK vs Senecaville, OH
Population Overview
Compare main population characteristics in Tulsa, OK vs Senecaville, OH.
| Data | Tulsa | Senecaville |
|---|---|---|
| Population | 411,867 | 415 |
| Median Age | 35.6 years | 36.4 years |
| Median Income | $56,648 | $48,036 |
| Married Families | 33.0% | 43.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 3.9 | 4.5 |
Population Comparison: Tulsa vs Senecaville
- In Tulsa, the population is higher at 411,867, compared to 415 in Senecaville.
- The median age in Senecaville is higher at 36.4 years, compared to 35.6 years in Tulsa.
- Tulsa has a higher median income of $56,648 compared to $48,036 in Senecaville.
- In Senecaville, the percentage of married families is higher at 43.0%, compared to 33.0% in Tulsa.
- Tulsa has a higher poverty level at 16% compared to 10% in Senecaville.
- Senecaville has a higher unemployment rate at 4.5% compared to 3.9% in Tulsa.
Demographics
Demographics Tulsa vs Senecaville provide insight into the diversity of the communities to compare.
| Demographic | Tulsa | Senecaville |
|---|---|---|
| Black | 15 | 3 |
| White | 48 | 89 |
| Asian | 3 | Data is updating |
| Hispanic | 17 | 1 |
| Two or More Races | 13 | 7 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Tulsa vs Senecaville
- A higher percentage of Black residents are in Tulsa at 15% compared to 3% in Senecaville.
- The percentage of White residents is higher in Senecaville at 89% compared to 48% in Tulsa.
- The Asian population is larger in Tulsa at 3% compared to 0% in Senecaville.
- The Hispanic community is larger in Tulsa at 17% compared to 1% in Senecaville.
- More residents identify as two or more races in Tulsa at 13% compared to 7% in Senecaville.
- A greater percentage of American Indian residents live in Tulsa at 4% compared to 0% in Senecaville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tulsa | Senecaville |
|---|---|---|
| Mental Health Not Good | 18.6% | 18.4% |
| Physical Health Not Good | 12.7% | 13.1% |
| Depression | 25.2% | 24.5% |
| Smoking | 18.7% | 22.6% |
| Binge Drinking | 13.3% | 18.7% |
| Obesity | 38.1% | 42.9% |
| Disability Percentage | 14.0% | 26.0% |
Health Statistics Comparison: Tulsa vs Senecaville
- More residents in Tulsa report poor mental health at 18.6% compared to 18.4% in Senecaville.
- Depression is more prevalent in Tulsa at 25.2% compared to 24.5% in Senecaville.
- Senecaville has a higher smoking rate at 22.6% compared to 18.7% in Tulsa.
- More residents engage in binge drinking in Senecaville at 18.7% compared to 13.3% in Tulsa.
- Senecaville has higher obesity rates at 42.9% compared to 38.1% in Tulsa.
- There is a higher percentage of disabled individuals in Senecaville at 26.0% 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 | Senecaville |
|---|---|---|
| No Schooling | 1.2% (5,029) | 0.0% (Data is updating) |
| High School Diploma | 14.0% (57,640) | 31.3% (130) |
| Less than High School | 13.8% (56,774) | 19.3% (80) |
| Bachelor's Degree and Higher | 21.7% (89,557) | 5.3% (22) |
Education Levels Comparison: Tulsa vs Senecaville
- A higher percentage of residents in Tulsa have no formal schooling at 1.2% compared to 0.0% in Senecaville.
- In Senecaville, the rate of residents with high school diplomas is higher at 31.3% compared to 14.0% in Tulsa.
- The percentage of residents with less than a high school education is higher in Senecaville at 19.3%, 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 5.3% in Senecaville.
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.