Demographics details for Everett, WA vs Woodstock, VA
Population Overview
Compare main population characteristics in Everett, WA vs Woodstock, VA.
| Data | Everett | Woodstock |
|---|---|---|
| Population | 111,337 | 5,907 |
| Median Age | 36.4 years | 38.4 years |
| Median Income | $77,806 | $64,470 |
| Married Families | 34.0% | 32.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 5.1 | 2.5 |
Population Comparison: Everett vs Woodstock
- In Everett, the population is higher at 111,337, compared to 5,907 in Woodstock.
- The median age in Woodstock is higher at 38.4 years, compared to 36.4 years in Everett.
- Everett has a higher median income of $77,806 compared to $64,470 in Woodstock.
- A higher percentage of married families is found in Everett at 34.0% compared to 32.0% in Woodstock.
- The poverty level is identical in both Everett and Woodstock at 10%.
- The unemployment rate in Everett is higher at 5.1%, compared to 2.5% in Woodstock.
Demographics
Demographics Everett vs Woodstock provide insight into the diversity of the communities to compare.
| Demographic | Everett | Woodstock |
|---|---|---|
| Black | 6 | 6 |
| White | 56 | 60 |
| Asian | 10 | 4 |
| Hispanic | 17 | 19 |
| Two or More Races | 10 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Everett vs Woodstock
- The percentage of Black residents is the same in both Everett and Woodstock at 6%.
- The percentage of White residents is higher in Woodstock at 60% compared to 56% in Everett.
- The Asian population is larger in Everett at 10% compared to 4% in Woodstock.
- Woodstock has a higher percentage of Hispanic residents at 19%, compared to 17% in Everett.
- The percentage of residents identifying as two or more races is higher in Woodstock at 11%, compared to 10% in Everett.
- A greater percentage of American Indian residents live in Everett at 1% compared to 0% in Woodstock.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everett | Woodstock |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.9% |
| Physical Health Not Good | 12.4% | 12.3% |
| Depression | 29.8% | 24.9% |
| Smoking | 14.5% | 18.2% |
| Binge Drinking | 15.3% | 16.2% |
| Obesity | 35.3% | 38.9% |
| Disability Percentage | 14.0% | 21.0% |
Health Statistics Comparison: Everett vs Woodstock
- More residents in Everett report poor mental health at 18.1% compared to 17.9% in Woodstock.
- Depression is more prevalent in Everett at 29.8% compared to 24.9% in Woodstock.
- Woodstock has a higher smoking rate at 18.2% compared to 14.5% in Everett.
- More residents engage in binge drinking in Woodstock at 16.2% compared to 15.3% in Everett.
- Woodstock has higher obesity rates at 38.9% compared to 35.3% in Everett.
- There is a higher percentage of disabled individuals in Woodstock at 21.0% compared to 14.0% in Everett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everett | Woodstock |
|---|---|---|
| No Schooling | 1.4% (1,505) | 2.0% (118) |
| High School Diploma | 14.6% (16,295) | 19.0% (1,121) |
| Less than High School | 13.8% (15,320) | 17.2% (1,018) |
| Bachelor's Degree and Higher | 18.9% (21,025) | 16.4% (968) |
Education Levels Comparison: Everett vs Woodstock
- In Woodstock, a larger percentage of residents lack formal schooling at 2.0% compared to 1.4% in Everett.
- In Woodstock, the rate of residents with high school diplomas is higher at 19.0% compared to 14.6% in Everett.
- The percentage of residents with less than a high school education is higher in Woodstock at 17.2%, compared to 13.8% in Everett.
- A higher percentage of residents in Everett hold a bachelor's degree or higher at 18.9% 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.