Demographics details for Portland, TX vs White swan, WA
Population Overview
Compare main population characteristics in Portland, TX vs White swan, WA.
| Data | Portland | White swan |
|---|---|---|
| Population | 20,350 | 561 |
| Median Age | 34.2 years | 24.5 years |
| Median Income | $83,493 | $51,667 |
| Married Families | 40.0% | 13.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 3.5 | 8.2 |
Population Comparison: Portland vs White swan
- In Portland, the population is higher at 20,350, compared to 561 in White swan.
- Residents in Portland have a higher median age of 34.2 years compared to 24.5 years in White swan.
- Portland has a higher median income of $83,493 compared to $51,667 in White swan.
- A higher percentage of married families is found in Portland at 40.0% compared to 13.0% in White swan.
- The poverty level is higher in White swan at 12%, compared to 9% in Portland.
- White swan has a higher unemployment rate at 8.2% compared to 3.5% in Portland.
Demographics
Demographics Portland vs White swan provide insight into the diversity of the communities to compare.
| Demographic | Portland | White swan |
|---|---|---|
| Black | 2 | Data is updating |
| White | 38 | -6 |
| Asian | 2 | Data is updating |
| Hispanic | 43 | 26 |
| Two or More Races | 15 | 10 |
| American Indian | Data is updating | 70 |
Demographics Comparison: Portland vs White swan
- A higher percentage of Black residents are in Portland at 2% compared to 0% in White swan.
- Portland has a higher percentage of White residents at 38% compared to -6% in White swan.
- The Asian population is larger in Portland at 2% compared to 0% in White swan.
- The Hispanic community is larger in Portland at 43% compared to 26% in White swan.
- More residents identify as two or more races in Portland at 15% compared to 10% in White swan.
- In White swan, the percentage of American Indian residents is higher at 70%, compared to 0% in Portland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Portland | White swan |
|---|---|---|
| Mental Health Not Good | 16.0% | 22.0% |
| Physical Health Not Good | 10.5% | 18.1% |
| Depression | 22.2% | 24.7% |
| Smoking | 13.9% | 26.0% |
| Binge Drinking | 20.2% | 15.8% |
| Obesity | 37.6% | 43.8% |
| Disability Percentage | 14.0% | 21.0% |
Health Statistics Comparison: Portland vs White swan
- In White swan, a higher percentage report poor mental health at 22.0% compared to 16.0% in Portland.
- Higher depression rates are seen in White swan at 24.7% versus 22.2% in Portland.
- White swan has a higher smoking rate at 26.0% compared to 13.9% in Portland.
- Binge drinking is more common in Portland at 20.2% compared to 15.8% in White swan.
- White swan has higher obesity rates at 43.8% compared to 37.6% in Portland.
- There is a higher percentage of disabled individuals in White swan at 21.0% compared to 14.0% in Portland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Portland | White swan |
|---|---|---|
| No Schooling | 0.3% (63) | 0.0% (Data is updating) |
| High School Diploma | 16.1% (3,277) | 16.4% (92) |
| Less than High School | 9.4% (1,904) | 24.8% (139) |
| Bachelor's Degree and Higher | 17.4% (3,539) | 0.9% (5) |
Education Levels Comparison: Portland vs White swan
- A higher percentage of residents in Portland have no formal schooling at 0.3% 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 16.1% in Portland.
- The percentage of residents with less than a high school education is higher in White swan at 24.8%, compared to 9.4% in Portland.
- A higher percentage of residents in Portland hold a bachelor's degree or higher at 17.4% 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.