Demographics details for Woodstock, VA vs Saint cloud, MN
Population Overview
Compare main population characteristics in Woodstock, VA vs Saint cloud, MN.
| Data | Woodstock | Saint cloud |
|---|---|---|
| Population | 5,907 | 69,568 |
| Median Age | 38.4 years | 30.3 years |
| Median Income | $64,470 | $58,910 |
| Married Families | 32.0% | 30.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 2.5 | 4.3 |
Population Comparison: Woodstock vs Saint cloud
- The population in Saint cloud is higher at 69,568, compared to 5,907 in Woodstock.
- Residents in Woodstock have a higher median age of 38.4 years compared to 30.3 years in Saint cloud.
- Woodstock has a higher median income of $64,470 compared to $58,910 in Saint cloud.
- A higher percentage of married families is found in Woodstock at 32.0% compared to 30.0% in Saint cloud.
- The poverty level is higher in Saint cloud at 11%, compared to 10% in Woodstock.
- Saint cloud has a higher unemployment rate at 4.3% compared to 2.5% in Woodstock.
Demographics
Demographics Woodstock vs Saint cloud provide insight into the diversity of the communities to compare.
| Demographic | Woodstock | Saint cloud |
|---|---|---|
| Black | 6 | 18 |
| White | 60 | 68 |
| Asian | 4 | 4 |
| Hispanic | 19 | 4 |
| Two or More Races | 11 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodstock vs Saint cloud
- In Saint cloud, the percentage of Black residents is higher at 18% compared to 6% in Woodstock.
- The percentage of White residents is higher in Saint cloud at 68% compared to 60% in Woodstock.
- Both Woodstock and Saint cloud have the same percentage of Asian residents at 4%.
- The Hispanic community is larger in Woodstock at 19% compared to 4% in Saint cloud.
- More residents identify as two or more races in Woodstock at 11% compared to 6% in Saint cloud.
- The percentage of American Indian residents is the same in both Woodstock and Saint cloud at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodstock | Saint cloud |
|---|---|---|
| Mental Health Not Good | 17.9% | 16.2% |
| Physical Health Not Good | 12.3% | 10.4% |
| Depression | 24.9% | 24.3% |
| Smoking | 18.2% | 19.0% |
| Binge Drinking | 16.2% | 20.3% |
| Obesity | 38.9% | 41.9% |
| Disability Percentage | 21.0% | 12.0% |
Health Statistics Comparison: Woodstock vs Saint cloud
- More residents in Woodstock report poor mental health at 17.9% compared to 16.2% in Saint cloud.
- Depression is more prevalent in Woodstock at 24.9% compared to 24.3% in Saint cloud.
- Saint cloud has a higher smoking rate at 19.0% compared to 18.2% in Woodstock.
- More residents engage in binge drinking in Saint cloud at 20.3% compared to 16.2% in Woodstock.
- Saint cloud has higher obesity rates at 41.9% compared to 38.9% in Woodstock.
- Disability percentages are higher in Woodstock at 21.0% compared to 12.0% in Saint cloud.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodstock | Saint cloud |
|---|---|---|
| No Schooling | 2.0% (118) | 1.0% (723) |
| High School Diploma | 19.0% (1,121) | 12.6% (8,774) |
| Less than High School | 17.2% (1,018) | 8.0% (5,546) |
| Bachelor's Degree and Higher | 16.4% (968) | 17.3% (12,024) |
Education Levels Comparison: Woodstock vs Saint cloud
- A higher percentage of residents in Woodstock have no formal schooling at 2.0% compared to 1.0% in Saint cloud.
- A higher percentage of residents in Woodstock hold a high school diploma at 19.0% compared to 12.6% in Saint cloud.
- More residents in Woodstock have less than a high school education at 17.2% compared to 8.0% in Saint cloud.
- In Saint cloud, a larger share of residents have a bachelor's degree or higher at 17.3% 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.