Demographics details for Woodland, CA vs Sublimity, OR
Population Overview
Compare main population characteristics in Woodland, CA vs Sublimity, OR.
| Data | Woodland | Sublimity |
|---|---|---|
| Population | 61,462 | 2,942 |
| Median Age | 37.0 years | 51.8 years |
| Median Income | $84,494 | $74,875 |
| Married Families | 40.0% | 46.0% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 6.0 | 3.2 |
Population Comparison: Woodland vs Sublimity
- In Woodland, the population is higher at 61,462, compared to 2,942 in Sublimity.
- The median age in Sublimity is higher at 51.8 years, compared to 37.0 years in Woodland.
- Woodland has a higher median income of $84,494 compared to $74,875 in Sublimity.
- In Sublimity, the percentage of married families is higher at 46.0%, compared to 40.0% in Woodland.
- Woodland has a higher poverty level at 12% compared to 6% in Sublimity.
- The unemployment rate in Woodland is higher at 6.0%, compared to 3.2% in Sublimity.
Demographics
Demographics Woodland vs Sublimity provide insight into the diversity of the communities to compare.
| Demographic | Woodland | Sublimity |
|---|---|---|
| Black | 2 | Data is updating |
| White | 21 | 85 |
| Asian | 7 | 1 |
| Hispanic | 49 | 10 |
| Two or More Races | 20 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Woodland vs Sublimity
- A higher percentage of Black residents are in Woodland at 2% compared to 0% in Sublimity.
- The percentage of White residents is higher in Sublimity at 85% compared to 21% in Woodland.
- The Asian population is larger in Woodland at 7% compared to 1% in Sublimity.
- The Hispanic community is larger in Woodland at 49% compared to 10% in Sublimity.
- More residents identify as two or more races in Woodland at 20% compared to 4% in Sublimity.
- A greater percentage of American Indian residents live in Woodland at 1% compared to 0% in Sublimity.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodland | Sublimity |
|---|---|---|
| Mental Health Not Good | 16.0% | 18.3% |
| Physical Health Not Good | 11.6% | 11.1% |
| Depression | 18.8% | 29.6% |
| Smoking | 12.2% | 15.9% |
| Binge Drinking | 16.4% | 17.4% |
| Obesity | 28.9% | 34.8% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Woodland vs Sublimity
- In Sublimity, a higher percentage report poor mental health at 18.3% compared to 16.0% in Woodland.
- Higher depression rates are seen in Sublimity at 29.6% versus 18.8% in Woodland.
- Sublimity has a higher smoking rate at 15.9% compared to 12.2% in Woodland.
- More residents engage in binge drinking in Sublimity at 17.4% compared to 16.4% in Woodland.
- Sublimity has higher obesity rates at 34.8% compared to 28.9% in Woodland.
- There is a higher percentage of disabled individuals in Sublimity at 14.0% compared to 12.0% in Woodland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodland | Sublimity |
|---|---|---|
| No Schooling | 2.0% (1,223) | 1.4% (42) |
| High School Diploma | 13.9% (8,533) | 17.2% (507) |
| Less than High School | 22.2% (13,649) | 9.2% (272) |
| Bachelor's Degree and Higher | 19.0% (11,706) | 23.6% (695) |
Education Levels Comparison: Woodland vs Sublimity
- A higher percentage of residents in Woodland have no formal schooling at 2.0% compared to 1.4% in Sublimity.
- In Sublimity, the rate of residents with high school diplomas is higher at 17.2% compared to 13.9% in Woodland.
- More residents in Woodland have less than a high school education at 22.2% compared to 9.2% in Sublimity.
- In Sublimity, a larger share of residents have a bachelor's degree or higher at 23.6% compared to 19.0% in Woodland.
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.