Demographics details for Sugar grove, PA vs Canby, OR
Population Overview
Compare main population characteristics in Sugar grove, PA vs Canby, OR.
| Data | Sugar grove | Canby |
|---|---|---|
| Population | 546 | 18,074 |
| Median Age | 42.2 years | 41.1 years |
| Median Income | $68,056 | $91,823 |
| Married Families | 53.0% | 47.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 4.2 | 3.9 |
Population Comparison: Sugar grove vs Canby
- The population in Canby is higher at 18,074, compared to 546 in Sugar grove.
- Residents in Sugar grove have a higher median age of 42.2 years compared to 41.1 years in Canby.
- Canby has a higher median income of $91,823, compared to $68,056 in Sugar grove.
- A higher percentage of married families is found in Sugar grove at 53.0% compared to 47.0% in Canby.
- The poverty level is identical in both Sugar grove and Canby at 8%.
- The unemployment rate in Sugar grove is higher at 4.2%, compared to 3.9% in Canby.
Demographics
Demographics Sugar grove vs Canby provide insight into the diversity of the communities to compare.
| Demographic | Sugar grove | Canby |
|---|---|---|
| Black | 1 | 1 |
| White | 79 | 69 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 18 |
| Two or More Races | 14 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sugar grove vs Canby
- The percentage of Black residents is the same in both Sugar grove and Canby at 1%.
- Sugar grove has a higher percentage of White residents at 79% compared to 69% in Canby.
- In Canby, the Asian population stands at 2%, greater than 0% in Sugar grove.
- Canby has a higher percentage of Hispanic residents at 18%, compared to 6% in Sugar grove.
- More residents identify as two or more races in Sugar grove at 14% compared to 9% in Canby.
- In Canby, the percentage of American Indian residents is higher at 1%, compared to 0% in Sugar grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sugar grove | Canby |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.4% |
| Physical Health Not Good | 13.2% | 10.7% |
| Depression | 23.5% | 26.5% |
| Smoking | 22.8% | 14.4% |
| Binge Drinking | 18.2% | 18.6% |
| Obesity | 38.8% | 33.8% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Sugar grove vs Canby
- More residents in Sugar grove report poor mental health at 18.3% compared to 17.4% in Canby.
- Higher depression rates are seen in Canby at 26.5% versus 23.5% in Sugar grove.
- Smoking is more prevalent in Sugar grove at 22.8% compared to 14.4% in Canby.
- More residents engage in binge drinking in Canby at 18.6% compared to 18.2% in Sugar grove.
- Obesity rates are higher in Sugar grove at 38.8% compared to 33.8% in Canby.
- There is a higher percentage of disabled individuals in Canby at 14.0% compared to 10.0% in Sugar grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sugar grove | Canby |
|---|---|---|
| No Schooling | 1.5% (8) | 1.4% (248) |
| High School Diploma | 28.2% (154) | 15.5% (2,794) |
| Less than High School | 6.2% (34) | 13.7% (2,480) |
| Bachelor's Degree and Higher | 13.0% (71) | 20.1% (3,636) |
Education Levels Comparison: Sugar grove vs Canby
- A higher percentage of residents in Sugar grove have no formal schooling at 1.5% compared to 1.4% in Canby.
- A higher percentage of residents in Sugar grove hold a high school diploma at 28.2% compared to 15.5% in Canby.
- The percentage of residents with less than a high school education is higher in Canby at 13.7%, compared to 6.2% in Sugar grove.
- In Canby, a larger share of residents have a bachelor's degree or higher at 20.1% compared to 13.0% in Sugar grove.
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.