Demographics details for Douds, IA vs White swan, WA
Population Overview
Compare main population characteristics in Douds, IA vs White swan, WA.
| Data | Douds | White swan |
|---|---|---|
| Population | 112 | 561 |
| Median Age | 59.5 years | 24.5 years |
| Median Income | $81,406 | $51,667 |
| Married Families | 71.0% | 13.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 2.5 | 8.2 |
Population Comparison: Douds vs White swan
- The population in White swan is higher at 561, compared to 112 in Douds.
- Residents in Douds have a higher median age of 59.5 years compared to 24.5 years in White swan.
- Douds has a higher median income of $81,406 compared to $51,667 in White swan.
- A higher percentage of married families is found in Douds at 71.0% compared to 13.0% in White swan.
- The poverty level is higher in White swan at 12%, compared to 8% in Douds.
- White swan has a higher unemployment rate at 8.2% compared to 2.5% in Douds.
Demographics
Demographics Douds vs White swan provide insight into the diversity of the communities to compare.
| Demographic | Douds | White swan |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | -6 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 26 |
| Two or More Races | Data is updating | 10 |
| American Indian | Data is updating | 70 |
Demographics Comparison: Douds vs White swan
- The percentage of Black residents is the same in both Douds and White swan at 0%.
- Douds has a higher percentage of White residents at 100% compared to -6% in White swan.
- Both Douds and White swan have the same percentage of Asian residents at 0%.
- White swan has a higher percentage of Hispanic residents at 26%, compared to 0% in Douds.
- The percentage of residents identifying as two or more races is higher in White swan at 10%, compared to 0% in Douds.
- In White swan, the percentage of American Indian residents is higher at 70%, compared to 0% in Douds.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Douds | White swan |
|---|---|---|
| Mental Health Not Good | 16.1% | 22.0% |
| Physical Health Not Good | 10.7% | 18.1% |
| Depression | 18.9% | 24.7% |
| Smoking | 19.8% | 26.0% |
| Binge Drinking | 21.8% | 15.8% |
| Obesity | 39.1% | 43.8% |
| Disability Percentage | 41.0% | 21.0% |
Health Statistics Comparison: Douds vs White swan
- In White swan, a higher percentage report poor mental health at 22.0% compared to 16.1% in Douds.
- Higher depression rates are seen in White swan at 24.7% versus 18.9% in Douds.
- White swan has a higher smoking rate at 26.0% compared to 19.8% in Douds.
- Binge drinking is more common in Douds at 21.8% compared to 15.8% in White swan.
- White swan has higher obesity rates at 43.8% compared to 39.1% in Douds.
- Disability percentages are higher in Douds at 41.0% compared to 21.0% in White swan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Douds | White swan |
|---|---|---|
| No Schooling | 7.1% (8) | 0.0% (Data is updating) |
| High School Diploma | 29.5% (33) | 16.4% (92) |
| Less than High School | 46.4% (52) | 24.8% (139) |
| Bachelor's Degree and Higher | 38.4% (43) | 0.9% (5) |
Education Levels Comparison: Douds vs White swan
- A higher percentage of residents in Douds have no formal schooling at 7.1% compared to 0.0% in White swan.
- A higher percentage of residents in Douds hold a high school diploma at 29.5% compared to 16.4% in White swan.
- More residents in Douds have less than a high school education at 46.4% compared to 24.8% in White swan.
- A higher percentage of residents in Douds hold a bachelor's degree or higher at 38.4% 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.