Demographics details for Clinton, SC vs Ronceverte, WV
Population Overview
Compare main population characteristics in Clinton, SC vs Ronceverte, WV.
| Data | Clinton | Ronceverte |
|---|---|---|
| Population | 7,554 | 1,554 |
| Median Age | 35.4 years | 37.9 years |
| Median Income | $38,350 | $40,605 |
| Married Families | 19.0% | 28.0% |
| Poverty Level | 18% | 17% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Clinton vs Ronceverte
- In Clinton, the population is higher at 7,554, compared to 1,554 in Ronceverte.
- The median age in Ronceverte is higher at 37.9 years, compared to 35.4 years in Clinton.
- Ronceverte has a higher median income of $40,605, compared to $38,350 in Clinton.
- In Ronceverte, the percentage of married families is higher at 28.0%, compared to 19.0% in Clinton.
- Clinton has a higher poverty level at 18% compared to 17% in Ronceverte.
- The unemployment rate in Clinton is higher at 4.5%, compared to 3.5% in Ronceverte.
Demographics
Demographics Clinton vs Ronceverte provide insight into the diversity of the communities to compare.
| Demographic | Clinton | Ronceverte |
|---|---|---|
| Black | 38 | 4 |
| White | 55 | 91 |
| Asian | 2 | Data is updating |
| Hispanic | 1 | 2 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clinton vs Ronceverte
- A higher percentage of Black residents are in Clinton at 38% compared to 4% in Ronceverte.
- The percentage of White residents is higher in Ronceverte at 91% compared to 55% in Clinton.
- The Asian population is larger in Clinton at 2% compared to 0% in Ronceverte.
- Ronceverte has a higher percentage of Hispanic residents at 2%, compared to 1% in Clinton.
- More residents identify as two or more races in Clinton at 4% compared to 3% in Ronceverte.
- The percentage of American Indian residents is the same in both Clinton and Ronceverte at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clinton | Ronceverte |
|---|---|---|
| Mental Health Not Good | 19.1% | 21.7% |
| Physical Health Not Good | 14.0% | 15.5% |
| Depression | 23.7% | 29.2% |
| Smoking | 22.0% | 24.4% |
| Binge Drinking | 15.8% | 13.5% |
| Obesity | 44.9% | 40.6% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Clinton vs Ronceverte
- In Ronceverte, a higher percentage report poor mental health at 21.7% compared to 19.1% in Clinton.
- Higher depression rates are seen in Ronceverte at 29.2% versus 23.7% in Clinton.
- Ronceverte has a higher smoking rate at 24.4% compared to 22.0% in Clinton.
- Binge drinking is more common in Clinton at 15.8% compared to 13.5% in Ronceverte.
- Obesity rates are higher in Clinton at 44.9% compared to 40.6% in Ronceverte.
- Disability percentages are higher in Clinton at 17.0% compared to 13.0% in Ronceverte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clinton | Ronceverte |
|---|---|---|
| No Schooling | 1.0% (74) | 0.0% (Data is updating) |
| High School Diploma | 19.3% (1,460) | 18.5% (287) |
| Less than High School | 15.6% (1,177) | 15.2% (236) |
| Bachelor's Degree and Higher | 17.3% (1,310) | 11.8% (183) |
Education Levels Comparison: Clinton vs Ronceverte
- A higher percentage of residents in Clinton have no formal schooling at 1.0% compared to 0.0% in Ronceverte.
- A higher percentage of residents in Clinton hold a high school diploma at 19.3% compared to 18.5% in Ronceverte.
- More residents in Clinton have less than a high school education at 15.6% compared to 15.2% in Ronceverte.
- A higher percentage of residents in Clinton hold a bachelor's degree or higher at 17.3% compared to 11.8% in Ronceverte.
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.