Demographics details for Cullman, AL vs Canby, OR
Population Overview
Compare main population characteristics in Cullman, AL vs Canby, OR.
| Data | Cullman | Canby |
|---|---|---|
| Population | 19,251 | 18,074 |
| Median Age | 42.0 years | 41.1 years |
| Median Income | $59,982 | $91,823 |
| Married Families | 39.0% | 47.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 4.3 | 3.9 |
Population Comparison: Cullman vs Canby
- In Cullman, the population is higher at 19,251, compared to 18,074 in Canby.
- Residents in Cullman have a higher median age of 42.0 years compared to 41.1 years in Canby.
- Canby has a higher median income of $91,823, compared to $59,982 in Cullman.
- In Canby, the percentage of married families is higher at 47.0%, compared to 39.0% in Cullman.
- Cullman has a higher poverty level at 12% compared to 8% in Canby.
- The unemployment rate in Cullman is higher at 4.3%, compared to 3.9% in Canby.
Demographics
Demographics Cullman vs Canby provide insight into the diversity of the communities to compare.
| Demographic | Cullman | Canby |
|---|---|---|
| Black | 1 | 1 |
| White | 92 | 69 |
| Asian | 1 | 2 |
| Hispanic | 2 | 18 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cullman vs Canby
- The percentage of Black residents is the same in both Cullman and Canby at 1%.
- Cullman has a higher percentage of White residents at 92% compared to 69% in Canby.
- In Canby, the Asian population stands at 2%, greater than 1% in Cullman.
- Canby has a higher percentage of Hispanic residents at 18%, compared to 2% in Cullman.
- The percentage of residents identifying as two or more races is higher in Canby at 9%, compared to 4% in Cullman.
- In Canby, the percentage of American Indian residents is higher at 1%, compared to 0% in Cullman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullman | Canby |
|---|---|---|
| Mental Health Not Good | 18.5% | 17.4% |
| Physical Health Not Good | 12.6% | 10.7% |
| Depression | 24.9% | 26.5% |
| Smoking | 18.2% | 14.4% |
| Binge Drinking | 16.4% | 18.6% |
| Obesity | 37.5% | 33.8% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Cullman vs Canby
- More residents in Cullman report poor mental health at 18.5% compared to 17.4% in Canby.
- Higher depression rates are seen in Canby at 26.5% versus 24.9% in Cullman.
- Smoking is more prevalent in Cullman at 18.2% compared to 14.4% in Canby.
- More residents engage in binge drinking in Canby at 18.6% compared to 16.4% in Cullman.
- Obesity rates are higher in Cullman at 37.5% compared to 33.8% in Canby.
- Disability percentages are the same in both Cullman and Canby at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullman | Canby |
|---|---|---|
| No Schooling | 0.7% (130) | 1.4% (248) |
| High School Diploma | 13.6% (2,614) | 15.5% (2,794) |
| Less than High School | 13.0% (2,512) | 13.7% (2,480) |
| Bachelor's Degree and Higher | 22.1% (4,253) | 20.1% (3,636) |
Education Levels Comparison: Cullman vs Canby
- In Canby, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Cullman.
- In Canby, the rate of residents with high school diplomas is higher at 15.5% compared to 13.6% in Cullman.
- The percentage of residents with less than a high school education is higher in Canby at 13.7%, compared to 13.0% in Cullman.
- A higher percentage of residents in Cullman hold a bachelor's degree or higher at 22.1% compared to 20.1% in Canby.
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.