Demographics details for Canby, OR vs Sylvan beach, NY
Population Overview
Compare main population characteristics in Canby, OR vs Sylvan beach, NY.
| Data | Canby | Sylvan beach |
|---|---|---|
| Population | 18,074 | 885 |
| Median Age | 41.1 years | 50.1 years |
| Median Income | $91,823 | $48,125 |
| Married Families | 47.0% | 32.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 3.9 | 4.5 |
Population Comparison: Canby vs Sylvan beach
- In Canby, the population is higher at 18,074, compared to 885 in Sylvan beach.
- The median age in Sylvan beach is higher at 50.1 years, compared to 41.1 years in Canby.
- Canby has a higher median income of $91,823 compared to $48,125 in Sylvan beach.
- A higher percentage of married families is found in Canby at 47.0% compared to 32.0% in Sylvan beach.
- The poverty level is higher in Sylvan beach at 10%, compared to 8% in Canby.
- Sylvan beach has a higher unemployment rate at 4.5% compared to 3.9% in Canby.
Demographics
Demographics Canby vs Sylvan beach provide insight into the diversity of the communities to compare.
| Demographic | Canby | Sylvan beach |
|---|---|---|
| Black | 1 | Data is updating |
| White | 69 | 94 |
| Asian | 2 | 1 |
| Hispanic | 18 | 1 |
| Two or More Races | 9 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Canby vs Sylvan beach
- A higher percentage of Black residents are in Canby at 1% compared to 0% in Sylvan beach.
- The percentage of White residents is higher in Sylvan beach at 94% compared to 69% in Canby.
- The Asian population is larger in Canby at 2% compared to 1% in Sylvan beach.
- The Hispanic community is larger in Canby at 18% compared to 1% in Sylvan beach.
- More residents identify as two or more races in Canby at 9% compared to 3% in Sylvan beach.
- The percentage of American Indian residents is the same in both Canby and Sylvan beach at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Canby | Sylvan beach |
|---|---|---|
| Mental Health Not Good | 17.4% | 17.8% |
| Physical Health Not Good | 10.7% | 11.8% |
| Depression | 26.5% | 26.8% |
| Smoking | 14.4% | 24.0% |
| Binge Drinking | 18.6% | 19.7% |
| Obesity | 33.8% | 36.2% |
| Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Canby vs Sylvan beach
- In Sylvan beach, a higher percentage report poor mental health at 17.8% compared to 17.4% in Canby.
- Higher depression rates are seen in Sylvan beach at 26.8% versus 26.5% in Canby.
- Sylvan beach has a higher smoking rate at 24.0% compared to 14.4% in Canby.
- More residents engage in binge drinking in Sylvan beach at 19.7% compared to 18.6% in Canby.
- Sylvan beach has higher obesity rates at 36.2% compared to 33.8% in Canby.
- There is a higher percentage of disabled individuals in Sylvan beach at 20.0% compared to 14.0% in Canby.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Canby | Sylvan beach |
|---|---|---|
| No Schooling | 1.4% (248) | 0.0% (Data is updating) |
| High School Diploma | 15.5% (2,794) | 28.5% (252) |
| Less than High School | 13.7% (2,480) | 14.5% (128) |
| Bachelor's Degree and Higher | 20.1% (3,636) | 15.6% (138) |
Education Levels Comparison: Canby vs Sylvan beach
- A higher percentage of residents in Canby have no formal schooling at 1.4% compared to 0.0% in Sylvan beach.
- In Sylvan beach, the rate of residents with high school diplomas is higher at 28.5% compared to 15.5% in Canby.
- The percentage of residents with less than a high school education is higher in Sylvan beach at 14.5%, compared to 13.7% in Canby.
- A higher percentage of residents in Canby hold a bachelor's degree or higher at 20.1% compared to 15.6% in Sylvan beach.
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.