Demographics details for White swan, WA vs Hilmar, CA
Population Overview
Compare main population characteristics in White swan, WA vs Hilmar, CA.
| Data | White swan | Hilmar |
|---|---|---|
| Population | 561 | 11,136 |
| Median Age | 24.5 years | 36.4 years |
| Median Income | $51,667 | $71,753 |
| Married Families | 13.0% | 42.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 8.2 | 4.5 |
Population Comparison: White swan vs Hilmar
- The population in Hilmar is higher at 11,136, compared to 561 in White swan.
- The median age in Hilmar is higher at 36.4 years, compared to 24.5 years in White swan.
- Hilmar has a higher median income of $71,753, compared to $51,667 in White swan.
- In Hilmar, the percentage of married families is higher at 42.0%, compared to 13.0% in White swan.
- The poverty level is higher in Hilmar at 15%, compared to 12% in White swan.
- The unemployment rate in White swan is higher at 8.2%, compared to 4.5% in Hilmar.
Demographics
Demographics White swan vs Hilmar provide insight into the diversity of the communities to compare.
| Demographic | White swan | Hilmar |
|---|---|---|
| Black | Data is updating | 1 |
| White | -6 | 52 |
| Asian | Data is updating | 2 |
| Hispanic | 26 | 42 |
| Two or More Races | 10 | 3 |
| American Indian | 70 | Data is updating |
Demographics Comparison: White swan vs Hilmar
- In Hilmar, the percentage of Black residents is higher at 1% compared to 0% in White swan.
- The percentage of White residents is higher in Hilmar at 52% compared to -6% in White swan.
- In Hilmar, the Asian population stands at 2%, greater than 0% in White swan.
- Hilmar has a higher percentage of Hispanic residents at 42%, compared to 26% in White swan.
- More residents identify as two or more races in White swan at 10% compared to 3% in Hilmar.
- A greater percentage of American Indian residents live in White swan at 70% compared to 0% in Hilmar.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White swan | Hilmar |
|---|---|---|
| Mental Health Not Good | 22.0% | Data is updating% |
| Physical Health Not Good | 18.1% | Data is updating% |
| Depression | 24.7% | Data is updating% |
| Smoking | 26.0% | Data is updating% |
| Binge Drinking | 15.8% | Data is updating% |
| Obesity | 43.8% | Data is updating% |
| Disability Percentage | 21.0% | 14.0% |
Health Statistics Comparison: White swan vs Hilmar
- More residents in White swan report poor mental health at 22.0% compared to 0.0% in Hilmar.
- Depression is more prevalent in White swan at 24.7% compared to 0.0% in Hilmar.
- Smoking is more prevalent in White swan at 26.0% compared to 0.0% in Hilmar.
- Binge drinking is more common in White swan at 15.8% compared to 0.0% in Hilmar.
- Obesity rates are higher in White swan at 43.8% compared to 0.0% in Hilmar.
- Disability percentages are higher in White swan at 21.0% compared to 14.0% in Hilmar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White swan | Hilmar |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.6% (294) |
| High School Diploma | 16.4% (92) | 16.8% (1,868) |
| Less than High School | 24.8% (139) | 35.7% (3,978) |
| Bachelor's Degree and Higher | 0.9% (5) | 6.9% (769) |
Education Levels Comparison: White swan vs Hilmar
- In Hilmar, a larger percentage of residents lack formal schooling at 2.6% compared to 0.0% in White swan.
- In Hilmar, the rate of residents with high school diplomas is higher at 16.8% compared to 16.4% in White swan.
- The percentage of residents with less than a high school education is higher in Hilmar at 35.7%, compared to 24.8% in White swan.
- In Hilmar, a larger share of residents have a bachelor's degree or higher at 6.9% 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.