Demographics details for Seth, WV vs Clinton, SC
Population Overview
Compare main population characteristics in Seth, WV vs Clinton, SC.
| Data | Seth | Clinton |
|---|---|---|
| Population | 425 | 7,554 |
| Median Age | 38.0 years | 35.4 years |
| Median Income | $43,830 | $38,350 |
| Married Families | 64.0% | 19.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 5.2 | 4.5 |
Population Comparison: Seth vs Clinton
- The population in Clinton is higher at 7,554, compared to 425 in Seth.
- Residents in Seth have a higher median age of 38.0 years compared to 35.4 years in Clinton.
- Seth has a higher median income of $43,830 compared to $38,350 in Clinton.
- A higher percentage of married families is found in Seth at 64.0% compared to 19.0% in Clinton.
- The poverty level is higher in Clinton at 18%, compared to 12% in Seth.
- The unemployment rate in Seth is higher at 5.2%, compared to 4.5% in Clinton.
Demographics
Demographics Seth vs Clinton provide insight into the diversity of the communities to compare.
| Demographic | Seth | Clinton |
|---|---|---|
| Black | 2.4 | 38 |
| White | 95.9 | 55 |
| Asian | 0.5 | 2 |
| Hispanic | Data is updating | 1 |
| Two or More Races | 1.2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Seth vs Clinton
- In Clinton, the percentage of Black residents is higher at 38% compared to 2.4% in Seth.
- Seth has a higher percentage of White residents at 95.9% compared to 55% in Clinton.
- In Clinton, the Asian population stands at 2%, greater than 0.5% in Seth.
- Clinton has a higher percentage of Hispanic residents at 1%, compared to 0.0% in Seth.
- The percentage of residents identifying as two or more races is higher in Clinton at 4%, compared to 1.2% in Seth.
- The percentage of American Indian residents is the same in both Seth and Clinton at 0.0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seth | Clinton |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.1% |
| Physical Health Not Good | Data is updating% | 14.0% |
| Depression | Data is updating% | 23.7% |
| Smoking | Data is updating% | 22.0% |
| Binge Drinking | Data is updating% | 15.8% |
| Obesity | Data is updating% | 44.9% |
| Disability Percentage | Data is updating% | 17.0% |
Health Statistics Comparison: Seth vs Clinton
- In Clinton, a higher percentage report poor mental health at 19.1% compared to 0.0% in Seth.
- Higher depression rates are seen in Clinton at 23.7% versus 0.0% in Seth.
- Clinton has a higher smoking rate at 22.0% compared to 0.0% in Seth.
- More residents engage in binge drinking in Clinton at 15.8% compared to 0.0% in Seth.
- Clinton has higher obesity rates at 44.9% compared to 0.0% in Seth.
- There is a higher percentage of disabled individuals in Clinton at 17.0% compared to 0.0% in Seth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seth | Clinton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (74) |
| High School Diploma | 0.0% (Data is updating) | 19.3% (1,460) |
| Less than High School | 0.0% (Data is updating) | 15.6% (1,177) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 17.3% (1,310) |
Education Levels Comparison: Seth vs Clinton
- In Clinton, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Seth.
- In Clinton, the rate of residents with high school diplomas is higher at 19.3% compared to 0.0% in Seth.
- The percentage of residents with less than a high school education is higher in Clinton at 15.6%, compared to 0.0% in Seth.
- In Clinton, a larger share of residents have a bachelor's degree or higher at 17.3% compared to 0.0% in Seth.
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.