Demographics details for Elizabeth, WV vs Woodstock, VA
Population Overview
Compare main population characteristics in Elizabeth, WV vs Woodstock, VA.
| Data | Elizabeth | Woodstock |
|---|---|---|
| Population | 711 | 5,907 |
| Median Age | 37.1 years | 38.4 years |
| Median Income | $23,750 | $64,470 |
| Married Families | 35.0% | 32.0% |
| Poverty Level | 17% | 10% |
| Unemployment Rate | 4.1 | 2.5 |
Population Comparison: Elizabeth vs Woodstock
- The population in Woodstock is higher at 5,907, compared to 711 in Elizabeth.
- The median age in Woodstock is higher at 38.4 years, compared to 37.1 years in Elizabeth.
- Woodstock has a higher median income of $64,470, compared to $23,750 in Elizabeth.
- A higher percentage of married families is found in Elizabeth at 35.0% compared to 32.0% in Woodstock.
- Elizabeth has a higher poverty level at 17% compared to 10% in Woodstock.
- The unemployment rate in Elizabeth is higher at 4.1%, compared to 2.5% in Woodstock.
Demographics
Demographics Elizabeth vs Woodstock provide insight into the diversity of the communities to compare.
| Demographic | Elizabeth | Woodstock |
|---|---|---|
| Black | 1 | 6 |
| White | 99 | 60 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 19 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Elizabeth vs Woodstock
- In Woodstock, the percentage of Black residents is higher at 6% compared to 1% in Elizabeth.
- Elizabeth has a higher percentage of White residents at 99% compared to 60% in Woodstock.
- In Woodstock, the Asian population stands at 4%, greater than 0% in Elizabeth.
- Woodstock has a higher percentage of Hispanic residents at 19%, compared to 0% in Elizabeth.
- The percentage of residents identifying as two or more races is higher in Woodstock at 11%, compared to 0% in Elizabeth.
- The percentage of American Indian residents is the same in both Elizabeth and Woodstock at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elizabeth | Woodstock |
|---|---|---|
| Mental Health Not Good | 22.4% | 17.9% |
| Physical Health Not Good | 16.1% | 12.3% |
| Depression | 31.0% | 24.9% |
| Smoking | 25.4% | 18.2% |
| Binge Drinking | 13.5% | 16.2% |
| Obesity | 42.8% | 38.9% |
| Disability Percentage | 28.0% | 21.0% |
Health Statistics Comparison: Elizabeth vs Woodstock
- More residents in Elizabeth report poor mental health at 22.4% compared to 17.9% in Woodstock.
- Depression is more prevalent in Elizabeth at 31.0% compared to 24.9% in Woodstock.
- Smoking is more prevalent in Elizabeth at 25.4% compared to 18.2% in Woodstock.
- More residents engage in binge drinking in Woodstock at 16.2% compared to 13.5% in Elizabeth.
- Obesity rates are higher in Elizabeth at 42.8% compared to 38.9% in Woodstock.
- Disability percentages are higher in Elizabeth at 28.0% compared to 21.0% in Woodstock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Elizabeth | Woodstock |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.0% (118) |
| High School Diploma | 19.8% (141) | 19.0% (1,121) |
| Less than High School | 35.2% (250) | 17.2% (1,018) |
| Bachelor's Degree and Higher | 9.0% (64) | 16.4% (968) |
Education Levels Comparison: Elizabeth vs Woodstock
- In Woodstock, a larger percentage of residents lack formal schooling at 2.0% compared to 0.0% in Elizabeth.
- A higher percentage of residents in Elizabeth hold a high school diploma at 19.8% compared to 19.0% in Woodstock.
- More residents in Elizabeth have less than a high school education at 35.2% compared to 17.2% in Woodstock.
- In Woodstock, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 9.0% in Elizabeth.
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.