Demographics details for White swan, WA vs Elsah, IL
Population Overview
Compare main population characteristics in White swan, WA vs Elsah, IL.
| Data | White swan | Elsah |
|---|---|---|
| Population | 561 | 516 |
| Median Age | 24.5 years | 20.4 years |
| Median Income | $51,667 | $83,125 |
| Married Families | 13.0% | 10.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 8.2 | 3.5 |
Population Comparison: White swan vs Elsah
- In White swan, the population is higher at 561, compared to 516 in Elsah.
- Residents in White swan have a higher median age of 24.5 years compared to 20.4 years in Elsah.
- Elsah has a higher median income of $83,125, compared to $51,667 in White swan.
- A higher percentage of married families is found in White swan at 13.0% compared to 10.0% in Elsah.
- White swan has a higher poverty level at 12% compared to 5% in Elsah.
- The unemployment rate in White swan is higher at 8.2%, compared to 3.5% in Elsah.
Demographics
Demographics White swan vs Elsah provide insight into the diversity of the communities to compare.
| Demographic | White swan | Elsah |
|---|---|---|
| Black | Data is updating | 17 |
| White | -6 | 61 |
| Asian | Data is updating | 10 |
| Hispanic | 26 | 7 |
| Two or More Races | 10 | 5 |
| American Indian | 70 | Data is updating |
Demographics Comparison: White swan vs Elsah
- In Elsah, the percentage of Black residents is higher at 17% compared to 0% in White swan.
- The percentage of White residents is higher in Elsah at 61% compared to -6% in White swan.
- In Elsah, the Asian population stands at 10%, greater than 0% in White swan.
- The Hispanic community is larger in White swan at 26% compared to 7% in Elsah.
- More residents identify as two or more races in White swan at 10% compared to 5% in Elsah.
- A greater percentage of American Indian residents live in White swan at 70% compared to 0% in Elsah.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White swan | Elsah |
|---|---|---|
| Mental Health Not Good | 22.0% | 16.0% |
| Physical Health Not Good | 18.1% | 10.3% |
| Depression | 24.7% | 21.9% |
| Smoking | 26.0% | 16.2% |
| Binge Drinking | 15.8% | 18.6% |
| Obesity | 43.8% | 34.2% |
| Disability Percentage | 21.0% | 6.0% |
Health Statistics Comparison: White swan vs Elsah
- More residents in White swan report poor mental health at 22.0% compared to 16.0% in Elsah.
- Depression is more prevalent in White swan at 24.7% compared to 21.9% in Elsah.
- Smoking is more prevalent in White swan at 26.0% compared to 16.2% in Elsah.
- More residents engage in binge drinking in Elsah at 18.6% compared to 15.8% in White swan.
- Obesity rates are higher in White swan at 43.8% compared to 34.2% in Elsah.
- Disability percentages are higher in White swan at 21.0% compared to 6.0% in Elsah.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White swan | Elsah |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 16.4% (92) | 2.3% (12) |
| Less than High School | 24.8% (139) | 1.2% (6) |
| Bachelor's Degree and Higher | 0.9% (5) | 9.3% (48) |
Education Levels Comparison: White swan vs Elsah
- The percentage of residents with no formal schooling is the same in both White swan and Elsah at 0.0%.
- A higher percentage of residents in White swan hold a high school diploma at 16.4% compared to 2.3% in Elsah.
- More residents in White swan have less than a high school education at 24.8% compared to 1.2% in Elsah.
- In Elsah, a larger share of residents have a bachelor's degree or higher at 9.3% 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.