Demographics details for Kingsburg, CA vs White swan, WA
Population Overview
Compare main population characteristics in Kingsburg, CA vs White swan, WA.
| Data | Kingsburg | White swan |
|---|---|---|
| Population | 12,613 | 561 |
| Median Age | 37.6 years | 24.5 years |
| Median Income | $74,897 | $51,667 |
| Married Families | 36.0% | 13.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.2 | 8.2 |
Population Comparison: Kingsburg vs White swan
- In Kingsburg, the population is higher at 12,613, compared to 561 in White swan.
- Residents in Kingsburg have a higher median age of 37.6 years compared to 24.5 years in White swan.
- Kingsburg has a higher median income of $74,897 compared to $51,667 in White swan.
- A higher percentage of married families is found in Kingsburg at 36.0% compared to 13.0% in White swan.
- The poverty level is identical in both Kingsburg and White swan at 12%.
- White swan has a higher unemployment rate at 8.2% compared to 4.2% in Kingsburg.
Demographics
Demographics Kingsburg vs White swan provide insight into the diversity of the communities to compare.
| Demographic | Kingsburg | White swan |
|---|---|---|
| Black | 1 | Data is updating |
| White | 32 | -6 |
| Asian | 7 | Data is updating |
| Hispanic | 46 | 26 |
| Two or More Races | 14 | 10 |
| American Indian | Data is updating | 70 |
Demographics Comparison: Kingsburg vs White swan
- A higher percentage of Black residents are in Kingsburg at 1% compared to 0% in White swan.
- Kingsburg has a higher percentage of White residents at 32% compared to -6% in White swan.
- The Asian population is larger in Kingsburg at 7% compared to 0% in White swan.
- The Hispanic community is larger in Kingsburg at 46% compared to 26% in White swan.
- More residents identify as two or more races in Kingsburg at 14% compared to 10% in White swan.
- In White swan, the percentage of American Indian residents is higher at 70%, compared to 0% in Kingsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingsburg | White swan |
|---|---|---|
| Mental Health Not Good | 16.1% | 22.0% |
| Physical Health Not Good | 11.0% | 18.1% |
| Depression | 17.9% | 24.7% |
| Smoking | 12.1% | 26.0% |
| Binge Drinking | 15.9% | 15.8% |
| Obesity | 34.5% | 43.8% |
| Disability Percentage | 11.0% | 21.0% |
Health Statistics Comparison: Kingsburg vs White swan
- In White swan, a higher percentage report poor mental health at 22.0% compared to 16.1% in Kingsburg.
- Higher depression rates are seen in White swan at 24.7% versus 17.9% in Kingsburg.
- White swan has a higher smoking rate at 26.0% compared to 12.1% in Kingsburg.
- Binge drinking is more common in Kingsburg at 15.9% compared to 15.8% in White swan.
- White swan has higher obesity rates at 43.8% compared to 34.5% in Kingsburg.
- There is a higher percentage of disabled individuals in White swan at 21.0% compared to 11.0% in Kingsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingsburg | White swan |
|---|---|---|
| No Schooling | 1.1% (144) | 0.0% (Data is updating) |
| High School Diploma | 17.2% (2,168) | 16.4% (92) |
| Less than High School | 17.8% (2,242) | 24.8% (139) |
| Bachelor's Degree and Higher | 13.8% (1,739) | 0.9% (5) |
Education Levels Comparison: Kingsburg vs White swan
- A higher percentage of residents in Kingsburg have no formal schooling at 1.1% compared to 0.0% in White swan.
- A higher percentage of residents in Kingsburg hold a high school diploma at 17.2% compared to 16.4% in White swan.
- The percentage of residents with less than a high school education is higher in White swan at 24.8%, compared to 17.8% in Kingsburg.
- A higher percentage of residents in Kingsburg hold a bachelor's degree or higher at 13.8% 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.