Demographics details for Woodstock, VA vs Jefferson, SD
Population Overview
Compare main population characteristics in Woodstock, VA vs Jefferson, SD.
| Data | Woodstock | Jefferson |
|---|---|---|
| Population | 5,907 | 457 |
| Median Age | 38.4 years | 37.1 years |
| Median Income | $64,470 | $77,601 |
| Married Families | 32.0% | 59.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 2.5 | 2.3 |
Population Comparison: Woodstock vs Jefferson
- In Woodstock, the population is higher at 5,907, compared to 457 in Jefferson.
- Residents in Woodstock have a higher median age of 38.4 years compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601, compared to $64,470 in Woodstock.
- In Jefferson, the percentage of married families is higher at 59.0%, compared to 32.0% in Woodstock.
- Woodstock has a higher poverty level at 10% compared to 5% in Jefferson.
- The unemployment rate in Woodstock is higher at 2.5%, compared to 2.3% in Jefferson.
Demographics
Demographics Woodstock vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Woodstock | Jefferson |
|---|---|---|
| Black | 6 | Data is updating |
| White | 60 | 85 |
| Asian | 4 | Data is updating |
| Hispanic | 19 | 6 |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Woodstock vs Jefferson
- A higher percentage of Black residents are in Woodstock at 6% compared to 0% in Jefferson.
- The percentage of White residents is higher in Jefferson at 85% compared to 60% in Woodstock.
- The Asian population is larger in Woodstock at 4% compared to 0% in Jefferson.
- The Hispanic community is larger in Woodstock at 19% compared to 6% in Jefferson.
- More residents identify as two or more races in Woodstock at 11% compared to 4% in Jefferson.
- In Jefferson, the percentage of American Indian residents is higher at 5%, compared to 0% in Woodstock.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodstock | Jefferson |
|---|---|---|
| Mental Health Not Good | 17.9% | 12.5% |
| Physical Health Not Good | 12.3% | 8.2% |
| Depression | 24.9% | 16.7% |
| Smoking | 18.2% | 14.5% |
| Binge Drinking | 16.2% | 20.4% |
| Obesity | 38.9% | 38.6% |
| Disability Percentage | 21.0% | 14.0% |
Health Statistics Comparison: Woodstock vs Jefferson
- More residents in Woodstock report poor mental health at 17.9% compared to 12.5% in Jefferson.
- Depression is more prevalent in Woodstock at 24.9% compared to 16.7% in Jefferson.
- Smoking is more prevalent in Woodstock at 18.2% compared to 14.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 20.4% compared to 16.2% in Woodstock.
- Obesity rates are higher in Woodstock at 38.9% compared to 38.6% in Jefferson.
- Disability percentages are higher in Woodstock at 21.0% compared to 14.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodstock | Jefferson |
|---|---|---|
| No Schooling | 2.0% (118) | 0.0% (Data is updating) |
| High School Diploma | 19.0% (1,121) | 22.3% (102) |
| Less than High School | 17.2% (1,018) | 7.9% (36) |
| Bachelor's Degree and Higher | 16.4% (968) | 23.0% (105) |
Education Levels Comparison: Woodstock vs Jefferson
- A higher percentage of residents in Woodstock have no formal schooling at 2.0% compared to 0.0% in Jefferson.
- In Jefferson, the rate of residents with high school diplomas is higher at 22.3% compared to 19.0% in Woodstock.
- More residents in Woodstock have less than a high school education at 17.2% compared to 7.9% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 23.0% 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.