Demographics details for Tea, SD vs Senecaville, OH
Population Overview
Compare main population characteristics in Tea, SD vs Senecaville, OH.
| Data | Tea | Senecaville |
|---|---|---|
| Population | 6,918 | 415 |
| Median Age | 30.2 years | 36.4 years |
| Median Income | $99,153 | $48,036 |
| Married Families | 39.0% | 43.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Tea vs Senecaville
- In Tea, the population is higher at 6,918, compared to 415 in Senecaville.
- The median age in Senecaville is higher at 36.4 years, compared to 30.2 years in Tea.
- Tea has a higher median income of $99,153 compared to $48,036 in Senecaville.
- In Senecaville, the percentage of married families is higher at 43.0%, compared to 39.0% in Tea.
- The poverty level is higher in Senecaville at 10%, compared to 6% in Tea.
- Senecaville has a higher unemployment rate at 4.5% compared to 2.5% in Tea.
Demographics
Demographics Tea vs Senecaville provide insight into the diversity of the communities to compare.
| Demographic | Tea | Senecaville |
|---|---|---|
| Black | 2 | 3 |
| White | 95 | 89 |
| Asian | 1 | Data is updating |
| Hispanic | Data is updating | 1 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tea vs Senecaville
- In Senecaville, the percentage of Black residents is higher at 3% compared to 2% in Tea.
- Tea has a higher percentage of White residents at 95% compared to 89% in Senecaville.
- The Asian population is larger in Tea at 1% compared to 0% in Senecaville.
- Senecaville has a higher percentage of Hispanic residents at 1%, compared to 0% in Tea.
- The percentage of residents identifying as two or more races is higher in Senecaville at 7%, compared to 2% in Tea.
- The percentage of American Indian residents is the same in both Tea and Senecaville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tea | Senecaville |
|---|---|---|
| Mental Health Not Good | 11.3% | 18.4% |
| Physical Health Not Good | 7.7% | 13.1% |
| Depression | 16.6% | 24.5% |
| Smoking | 12.6% | 22.6% |
| Binge Drinking | 21.6% | 18.7% |
| Obesity | 34.5% | 42.9% |
| Disability Percentage | 4.0% | 26.0% |
Health Statistics Comparison: Tea vs Senecaville
- In Senecaville, a higher percentage report poor mental health at 18.4% compared to 11.3% in Tea.
- Higher depression rates are seen in Senecaville at 24.5% versus 16.6% in Tea.
- Senecaville has a higher smoking rate at 22.6% compared to 12.6% in Tea.
- Binge drinking is more common in Tea at 21.6% compared to 18.7% in Senecaville.
- Senecaville has higher obesity rates at 42.9% compared to 34.5% in Tea.
- There is a higher percentage of disabled individuals in Senecaville at 26.0% compared to 4.0% in Tea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tea | Senecaville |
|---|---|---|
| No Schooling | 0.1% (10) | 0.0% (Data is updating) |
| High School Diploma | 7.8% (537) | 31.3% (130) |
| Less than High School | 1.6% (108) | 19.3% (80) |
| Bachelor's Degree and Higher | 19.9% (1,378) | 5.3% (22) |
Education Levels Comparison: Tea vs Senecaville
- A higher percentage of residents in Tea have no formal schooling at 0.1% compared to 0.0% in Senecaville.
- In Senecaville, the rate of residents with high school diplomas is higher at 31.3% compared to 7.8% in Tea.
- The percentage of residents with less than a high school education is higher in Senecaville at 19.3%, compared to 1.6% in Tea.
- A higher percentage of residents in Tea hold a bachelor's degree or higher at 19.9% 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.