Demographics details for Charleston, SC vs Woodstock, VA
Population Overview
Compare main population characteristics in Charleston, SC vs Woodstock, VA.
| Data | Charleston | Woodstock |
|---|---|---|
| Population | 153,672 | 5,907 |
| Median Age | 36.3 years | 38.4 years |
| Median Income | $83,891 | $64,470 |
| Married Families | 37.0% | 32.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Charleston vs Woodstock
- In Charleston, the population is higher at 153,672, compared to 5,907 in Woodstock.
- The median age in Woodstock is higher at 38.4 years, compared to 36.3 years in Charleston.
- Charleston has a higher median income of $83,891 compared to $64,470 in Woodstock.
- A higher percentage of married families is found in Charleston at 37.0% compared to 32.0% in Woodstock.
- Charleston has a higher poverty level at 12% compared to 10% in Woodstock.
- The unemployment rate in Charleston is higher at 3.8%, compared to 2.5% in Woodstock.
Demographics
Demographics Charleston vs Woodstock provide insight into the diversity of the communities to compare.
| Demographic | Charleston | Woodstock |
|---|---|---|
| Black | 18 | 6 |
| White | 71 | 60 |
| Asian | 2 | 4 |
| Hispanic | 5 | 19 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Charleston vs Woodstock
- A higher percentage of Black residents are in Charleston at 18% compared to 6% in Woodstock.
- Charleston has a higher percentage of White residents at 71% compared to 60% in Woodstock.
- In Woodstock, the Asian population stands at 4%, greater than 2% in Charleston.
- Woodstock has a higher percentage of Hispanic residents at 19%, compared to 5% in Charleston.
- The percentage of residents identifying as two or more races is higher in Woodstock at 11%, compared to 4% in Charleston.
- The percentage of American Indian residents is the same in both Charleston and Woodstock at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charleston | Woodstock |
|---|---|---|
| Mental Health Not Good | 15.6% | 17.9% |
| Physical Health Not Good | 9.4% | 12.3% |
| Depression | 19.6% | 24.9% |
| Smoking | 13.0% | 18.2% |
| Binge Drinking | 23.0% | 16.2% |
| Obesity | 31.8% | 38.9% |
| Disability Percentage | 9.0% | 21.0% |
Health Statistics Comparison: Charleston vs Woodstock
- In Woodstock, a higher percentage report poor mental health at 17.9% compared to 15.6% in Charleston.
- Higher depression rates are seen in Woodstock at 24.9% versus 19.6% in Charleston.
- Woodstock has a higher smoking rate at 18.2% compared to 13.0% in Charleston.
- Binge drinking is more common in Charleston at 23.0% compared to 16.2% in Woodstock.
- Woodstock has higher obesity rates at 38.9% compared to 31.8% in Charleston.
- There is a higher percentage of disabled individuals in Woodstock at 21.0% compared to 9.0% in Charleston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charleston | Woodstock |
|---|---|---|
| No Schooling | 0.4% (646) | 2.0% (118) |
| High School Diploma | 9.1% (13,959) | 19.0% (1,121) |
| Less than High School | 4.3% (6,655) | 17.2% (1,018) |
| Bachelor's Degree and Higher | 39.9% (61,263) | 16.4% (968) |
Education Levels Comparison: Charleston vs Woodstock
- In Woodstock, a larger percentage of residents lack formal schooling at 2.0% compared to 0.4% in Charleston.
- In Woodstock, the rate of residents with high school diplomas is higher at 19.0% compared to 9.1% in Charleston.
- The percentage of residents with less than a high school education is higher in Woodstock at 17.2%, compared to 4.3% in Charleston.
- A higher percentage of residents in Charleston hold a bachelor's degree or higher at 39.9% compared to 16.4% in Woodstock.
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.