Demographics details for Keno, OR vs Vancouver, WA
Population Overview
Compare main population characteristics in Keno, OR vs Vancouver, WA.
| Data | Keno | Vancouver |
|---|---|---|
| Population | 3,083 | 194,512 |
| Median Age | 47.5 years | 37.4 years |
| Median Income | $69,421 | $73,626 |
| Married Families | 47.0% | 36.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 4.6 |
Population Comparison: Keno vs Vancouver
- The population in Vancouver is higher at 194,512, compared to 3,083 in Keno.
- Residents in Keno have a higher median age of 47.5 years compared to 37.4 years in Vancouver.
- Vancouver has a higher median income of $73,626, compared to $69,421 in Keno.
- A higher percentage of married families is found in Keno at 47.0% compared to 36.0% in Vancouver.
- The poverty level is identical in both Keno and Vancouver at 10%.
- Vancouver has a higher unemployment rate at 4.6% compared to 4.5% in Keno.
Demographics
Demographics Keno vs Vancouver provide insight into the diversity of the communities to compare.
| Demographic | Keno | Vancouver |
|---|---|---|
| Black | Data is updating | 3 |
| White | 82 | 65 |
| Asian | 4 | 5 |
| Hispanic | 6 | 15 |
| Two or More Races | 5 | 11 |
| American Indian | 3 | 1 |
Demographics Comparison: Keno vs Vancouver
- In Vancouver, the percentage of Black residents is higher at 3% compared to 0% in Keno.
- Keno has a higher percentage of White residents at 82% compared to 65% in Vancouver.
- In Vancouver, the Asian population stands at 5%, greater than 4% in Keno.
- Vancouver has a higher percentage of Hispanic residents at 15%, compared to 6% in Keno.
- The percentage of residents identifying as two or more races is higher in Vancouver at 11%, compared to 5% in Keno.
- A greater percentage of American Indian residents live in Keno at 3% compared to 1% in Vancouver.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keno | Vancouver |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.5% |
| Physical Health Not Good | Data is updating% | 11.5% |
| Depression | Data is updating% | 25.7% |
| Smoking | Data is updating% | 14.5% |
| Binge Drinking | Data is updating% | 17.7% |
| Obesity | Data is updating% | 33.1% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Keno vs Vancouver
- In Vancouver, a higher percentage report poor mental health at 17.5% compared to 0.0% in Keno.
- Higher depression rates are seen in Vancouver at 25.7% versus 0.0% in Keno.
- Vancouver has a higher smoking rate at 14.5% compared to 0.0% in Keno.
- More residents engage in binge drinking in Vancouver at 17.7% compared to 0.0% in Keno.
- Vancouver has higher obesity rates at 33.1% compared to 0.0% in Keno.
- Disability percentages are the same in both Keno and Vancouver at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keno | Vancouver |
|---|---|---|
| No Schooling | 0.2% (6) | 0.8% (1,478) |
| High School Diploma | 22.0% (678) | 13.9% (26,995) |
| Less than High School | 16.6% (512) | 10.7% (20,890) |
| Bachelor's Degree and Higher | 12.9% (398) | 21.2% (41,308) |
Education Levels Comparison: Keno vs Vancouver
- In Vancouver, a larger percentage of residents lack formal schooling at 0.8% compared to 0.2% in Keno.
- A higher percentage of residents in Keno hold a high school diploma at 22.0% compared to 13.9% in Vancouver.
- More residents in Keno have less than a high school education at 16.6% compared to 10.7% in Vancouver.
- In Vancouver, a larger share of residents have a bachelor's degree or higher at 21.2% compared to 12.9% in Keno.
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.