Demographics details for Woodstock, IL vs Mountain view, CA
Population Overview
Compare main population characteristics in Woodstock, IL vs Mountain view, CA.
| Data | Woodstock | Mountain view |
|---|---|---|
| Population | 25,665 | 81,059 |
| Median Age | 36.3 years | 35.5 years |
| Median Income | $82,287 | $174,156 |
| Married Families | 40.0% | 43.0% |
| Poverty Level | 8% | 6% |
| Unemployment Rate | 5.7 | 3.2 |
Population Comparison: Woodstock vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 25,665 in Woodstock.
- Residents in Woodstock have a higher median age of 36.3 years compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156, compared to $82,287 in Woodstock.
- In Mountain view, the percentage of married families is higher at 43.0%, compared to 40.0% in Woodstock.
- Woodstock has a higher poverty level at 8% compared to 6% in Mountain view.
- The unemployment rate in Woodstock is higher at 5.7%, compared to 3.2% in Mountain view.
Demographics
Demographics Woodstock vs Mountain view provide insight into the diversity of the communities to compare.
| Demographic | Woodstock | Mountain view |
|---|---|---|
| Black | 3 | 2 |
| White | 59 | 32 |
| Asian | 2 | 34 |
| Hispanic | 23 | 19 |
| Two or More Races | 13 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Woodstock vs Mountain view
- A higher percentage of Black residents are in Woodstock at 3% compared to 2% in Mountain view.
- Woodstock has a higher percentage of White residents at 59% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 2% in Woodstock.
- The Hispanic community is larger in Woodstock at 23% compared to 19% in Mountain view.
- More residents identify as two or more races in Woodstock at 13% compared to 12% in Mountain view.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Woodstock.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodstock | Mountain view |
|---|---|---|
| Mental Health Not Good | 15.3% | 11.7% |
| Physical Health Not Good | 10.7% | 7.1% |
| Depression | 20.2% | 14.7% |
| Smoking | 15.2% | 6.5% |
| Binge Drinking | 17.7% | 14.9% |
| Obesity | 32.4% | 19.1% |
| Disability Percentage | 10.0% | 6.0% |
Health Statistics Comparison: Woodstock vs Mountain view
- More residents in Woodstock report poor mental health at 15.3% compared to 11.7% in Mountain view.
- Depression is more prevalent in Woodstock at 20.2% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Woodstock at 15.2% compared to 6.5% in Mountain view.
- Binge drinking is more common in Woodstock at 17.7% compared to 14.9% in Mountain view.
- Obesity rates are higher in Woodstock at 32.4% compared to 19.1% in Mountain view.
- Disability percentages are higher in Woodstock at 10.0% compared to 6.0% in Mountain view.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodstock | Mountain view |
|---|---|---|
| No Schooling | 0.9% (237) | 1.0% (826) |
| High School Diploma | 15.8% (4,047) | 4.9% (3,963) |
| Less than High School | 12.9% (3,314) | 7.1% (5,739) |
| Bachelor's Degree and Higher | 21.0% (5,381) | 54.5% (44,174) |
Education Levels Comparison: Woodstock vs Mountain view
- In Mountain view, a larger percentage of residents lack formal schooling at 1.0% compared to 0.9% in Woodstock.
- A higher percentage of residents in Woodstock hold a high school diploma at 15.8% compared to 4.9% in Mountain view.
- More residents in Woodstock have less than a high school education at 12.9% compared to 7.1% in Mountain view.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 21.0% 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.