Demographics details for Woodstock, VA vs Pocahontas, AR
Population Overview
Compare main population characteristics in Woodstock, VA vs Pocahontas, AR.
Data | Woodstock | Pocahontas |
---|---|---|
Population | 5,907 | 7,546 |
Median Age | 38.4 years | 36.5 years |
Median Income | $64,470 | $38,912 |
Married Families | 32.0% | 37.0% |
Poverty Level | 10% | 19% |
Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Woodstock vs Pocahontas
- The population in Pocahontas is higher at 7,546, compared to 5,907 in Woodstock.
- Residents in Woodstock have a higher median age of 38.4 years compared to 36.5 years in Pocahontas.
- Woodstock has a higher median income of $64,470 compared to $38,912 in Pocahontas.
- In Pocahontas, the percentage of married families is higher at 37.0%, compared to 32.0% in Woodstock.
- The poverty level is higher in Pocahontas at 19%, compared to 10% in Woodstock.
- Pocahontas has a higher unemployment rate at 4.5% compared to 2.5% in Woodstock.
Demographics
Demographics Woodstock vs Pocahontas provide insight into the diversity of the communities to compare.
Demographic | Woodstock | Pocahontas |
---|---|---|
Black | 6 | 1 |
White | 60 | 90 |
Asian | 4 | 1 |
Hispanic | 19 | 1 |
Two or More Races | 11 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodstock vs Pocahontas
- A higher percentage of Black residents are in Woodstock at 6% compared to 1% in Pocahontas.
- The percentage of White residents is higher in Pocahontas at 90% compared to 60% in Woodstock.
- The Asian population is larger in Woodstock at 4% compared to 1% in Pocahontas.
- The Hispanic community is larger in Woodstock at 19% compared to 1% in Pocahontas.
- More residents identify as two or more races in Woodstock at 11% compared to 7% in Pocahontas.
- The percentage of American Indian residents is the same in both Woodstock and Pocahontas at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Woodstock | Pocahontas |
---|---|---|
Mental Health Not Good | 17.9% | 22.0% |
Physical Health Not Good | 12.3% | 16.6% |
Depression | 24.9% | 29.9% |
Smoking | 18.2% | 27.1% |
Binge Drinking | 16.2% | 14.1% |
Obesity | 38.9% | 43.5% |
Disability Percentage | 21.0% | 22.0% |
Health Statistics Comparison: Woodstock vs Pocahontas
- In Pocahontas, a higher percentage report poor mental health at 22.0% compared to 17.9% in Woodstock.
- Higher depression rates are seen in Pocahontas at 29.9% versus 24.9% in Woodstock.
- Pocahontas has a higher smoking rate at 27.1% compared to 18.2% in Woodstock.
- Binge drinking is more common in Woodstock at 16.2% compared to 14.1% in Pocahontas.
- Pocahontas has higher obesity rates at 43.5% compared to 38.9% in Woodstock.
- There is a higher percentage of disabled individuals in Pocahontas at 22.0% 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 | Woodstock | Pocahontas |
---|---|---|
No Schooling | 2.0% (118) | 0.5% (40) |
High School Diploma | 19.0% (1,121) | 19.8% (1,491) |
Less than High School | 17.2% (1,018) | 15.7% (1,186) |
Bachelor's Degree and Higher | 16.4% (968) | 10.4% (782) |
Education Levels Comparison: Woodstock vs Pocahontas
- A higher percentage of residents in Woodstock have no formal schooling at 2.0% compared to 0.5% in Pocahontas.
- In Pocahontas, the rate of residents with high school diplomas is higher at 19.8% compared to 19.0% in Woodstock.
- More residents in Woodstock have less than a high school education at 17.2% compared to 15.7% in Pocahontas.
- A higher percentage of residents in Woodstock hold a bachelor's degree or higher at 16.4% compared to 10.4% in Pocahontas.
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.