Demographics details for Oregon city, OR vs White swan, WA
Population Overview
Compare main population characteristics in Oregon city, OR vs White swan, WA.
Data | Oregon city | White swan |
---|---|---|
Population | 37,327 | 561 |
Median Age | 37.1 years | 24.5 years |
Median Income | $90,174 | $51,667 |
Married Families | 41.0% | 13.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 3.7 | 8.2 |
Population Comparison: Oregon city vs White swan
- In Oregon city, the population is higher at 37,327, compared to 561 in White swan.
- Residents in Oregon city have a higher median age of 37.1 years compared to 24.5 years in White swan.
- Oregon city has a higher median income of $90,174 compared to $51,667 in White swan.
- A higher percentage of married families is found in Oregon city at 41.0% compared to 13.0% in White swan.
- The poverty level is higher in White swan at 12%, compared to 7% in Oregon city.
- White swan has a higher unemployment rate at 8.2% compared to 3.7% in Oregon city.
Demographics
Demographics Oregon city vs White swan provide insight into the diversity of the communities to compare.
Demographic | Oregon city | White swan |
---|---|---|
Black | 1 | Data is updating |
White | 87 | -6 |
Asian | 2 | Data is updating |
Hispanic | 5 | 26 |
Two or More Races | 5 | 10 |
American Indian | Data is updating | 70 |
Demographics Comparison: Oregon city vs White swan
- A higher percentage of Black residents are in Oregon city at 1% compared to 0% in White swan.
- Oregon city has a higher percentage of White residents at 87% compared to -6% in White swan.
- The Asian population is larger in Oregon city at 2% compared to 0% in White swan.
- White swan has a higher percentage of Hispanic residents at 26%, compared to 5% in Oregon city.
- The percentage of residents identifying as two or more races is higher in White swan at 10%, compared to 5% in Oregon city.
- In White swan, the percentage of American Indian residents is higher at 70%, compared to 0% in Oregon city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oregon city | White swan |
---|---|---|
Mental Health Not Good | 17.1% | 22.0% |
Physical Health Not Good | 10.0% | 18.1% |
Depression | 26.6% | 24.7% |
Smoking | 13.9% | 26.0% |
Binge Drinking | 19.5% | 15.8% |
Obesity | 32.7% | 43.8% |
Disability Percentage | 12.0% | 21.0% |
Health Statistics Comparison: Oregon city vs White swan
- In White swan, a higher percentage report poor mental health at 22.0% compared to 17.1% in Oregon city.
- Depression is more prevalent in Oregon city at 26.6% compared to 24.7% in White swan.
- White swan has a higher smoking rate at 26.0% compared to 13.9% in Oregon city.
- Binge drinking is more common in Oregon city at 19.5% compared to 15.8% in White swan.
- White swan has higher obesity rates at 43.8% compared to 32.7% in Oregon city.
- There is a higher percentage of disabled individuals in White swan at 21.0% compared to 12.0% in Oregon city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oregon city | White swan |
---|---|---|
No Schooling | 0.2% (86) | 0.0% (Data is updating) |
High School Diploma | 15.5% (5,800) | 16.4% (92) |
Less than High School | 7.1% (2,666) | 24.8% (139) |
Bachelor's Degree and Higher | 21.2% (7,901) | 0.9% (5) |
Education Levels Comparison: Oregon city vs White swan
- A higher percentage of residents in Oregon city have no formal schooling at 0.2% compared to 0.0% in White swan.
- In White swan, the rate of residents with high school diplomas is higher at 16.4% compared to 15.5% in Oregon city.
- The percentage of residents with less than a high school education is higher in White swan at 24.8%, compared to 7.1% in Oregon city.
- A higher percentage of residents in Oregon city hold a bachelor's degree or higher at 21.2% compared to 0.9% in White swan.
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.