Demographics details for Ontario, CA vs Woodstock, IL
Population Overview
Compare main population characteristics in Ontario, CA vs Woodstock, IL.
| Data | Ontario | Woodstock |
|---|---|---|
| Population | 184,705 | 25,665 |
| Median Age | 34.3 years | 36.3 years |
| Median Income | $67,659 | $82,287 |
| Married Families | 30.5% | 40.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 5.1 | 5.7 |
Population Comparison: Ontario vs Woodstock
- In Ontario, the population is higher at 184,705, compared to 25,665 in Woodstock.
- The median age in Woodstock is higher at 36.3 years, compared to 34.3 years in Ontario.
- Woodstock has a higher median income of $82,287, compared to $67,659 in Ontario.
- In Woodstock, the percentage of married families is higher at 40.0%, compared to 30.5% in Ontario.
- Ontario has a higher poverty level at 14% compared to 8% in Woodstock.
- Woodstock has a higher unemployment rate at 5.7% compared to 5.1% in Ontario.
Demographics
Demographics Ontario vs Woodstock provide insight into the diversity of the communities to compare.
| Demographic | Ontario | Woodstock |
|---|---|---|
| Black | 8.5 | 3 |
| White | 36.2 | 59 |
| Asian | 6.0 | 2 |
| Hispanic | 44.5 | 23 |
| Two or More Races | 4.8 | 13 |
| American Indian | 0.5 | Data is updating |
Demographics Comparison: Ontario vs Woodstock
- A higher percentage of Black residents are in Ontario at 8.5% compared to 3% in Woodstock.
- The percentage of White residents is higher in Woodstock at 59% compared to 36.2% in Ontario.
- The Asian population is larger in Ontario at 6.0% compared to 2% in Woodstock.
- The Hispanic community is larger in Ontario at 44.5% compared to 23% in Woodstock.
- The percentage of residents identifying as two or more races is higher in Woodstock at 13%, compared to 4.8% in Ontario.
- A greater percentage of American Indian residents live in Ontario at 0.5% compared to 0% in Woodstock.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ontario | Woodstock |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.3% |
| Physical Health Not Good | Data is updating% | 10.7% |
| Depression | Data is updating% | 20.2% |
| Smoking | Data is updating% | 15.2% |
| Binge Drinking | Data is updating% | 17.7% |
| Obesity | Data is updating% | 32.4% |
| Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Ontario vs Woodstock
- In Woodstock, a higher percentage report poor mental health at 15.3% compared to 0.0% in Ontario.
- Higher depression rates are seen in Woodstock at 20.2% versus 0.0% in Ontario.
- Woodstock has a higher smoking rate at 15.2% compared to 0.0% in Ontario.
- More residents engage in binge drinking in Woodstock at 17.7% compared to 0.0% in Ontario.
- Woodstock has higher obesity rates at 32.4% compared to 0.0% in Ontario.
- There is a higher percentage of disabled individuals in Woodstock at 10.0% compared to 0.0% in Ontario.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ontario | Woodstock |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (237) |
| High School Diploma | 0.0% (Data is updating) | 15.8% (4,047) |
| Less than High School | 0.0% (Data is updating) | 12.9% (3,314) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 21.0% (5,381) |
Education Levels Comparison: Ontario vs Woodstock
- In Woodstock, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Ontario.
- In Woodstock, the rate of residents with high school diplomas is higher at 15.8% compared to 0.0% in Ontario.
- The percentage of residents with less than a high school education is higher in Woodstock at 12.9%, compared to 0.0% in Ontario.
- In Woodstock, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 0.0% in Ontario.
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.