Demographics details for Warsaw, IL vs Santa paula, CA
Population Overview
Compare main population characteristics in Warsaw, IL vs Santa paula, CA.
| Data | Warsaw | Santa paula |
|---|---|---|
| Population | 1,478 | 31,018 |
| Median Age | 44.5 years | 34.6 years |
| Median Income | $56,321 | $72,014 |
| Married Families | 47.0% | 36.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 3.5 | 5.6 |
Population Comparison: Warsaw vs Santa paula
- The population in Santa paula is higher at 31,018, compared to 1,478 in Warsaw.
- Residents in Warsaw have a higher median age of 44.5 years compared to 34.6 years in Santa paula.
- Santa paula has a higher median income of $72,014, compared to $56,321 in Warsaw.
- A higher percentage of married families is found in Warsaw at 47.0% compared to 36.0% in Santa paula.
- The poverty level is higher in Santa paula at 15%, compared to 10% in Warsaw.
- Santa paula has a higher unemployment rate at 5.6% compared to 3.5% in Warsaw.
Demographics
Demographics Warsaw vs Santa paula provide insight into the diversity of the communities to compare.
| Demographic | Warsaw | Santa paula |
|---|---|---|
| Black | Data is updating | 1 |
| White | 97 | 2 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 81 |
| Two or More Races | 2 | 13 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Warsaw vs Santa paula
- In Santa paula, the percentage of Black residents is higher at 1% compared to 0% in Warsaw.
- Warsaw has a higher percentage of White residents at 97% compared to 2% in Santa paula.
- In Santa paula, the Asian population stands at 1%, greater than 0% in Warsaw.
- Santa paula has a higher percentage of Hispanic residents at 81%, compared to 1% in Warsaw.
- The percentage of residents identifying as two or more races is higher in Santa paula at 13%, compared to 2% in Warsaw.
- In Santa paula, the percentage of American Indian residents is higher at 2%, compared to 0% in Warsaw.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Warsaw | Santa paula |
|---|---|---|
| Mental Health Not Good | 16.1% | 16.2% |
| Physical Health Not Good | 10.9% | 13.5% |
| Depression | 21.8% | 17.9% |
| Smoking | 17.5% | 13.4% |
| Binge Drinking | 18.6% | 15.6% |
| Obesity | 36.5% | 31.5% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Warsaw vs Santa paula
- In Santa paula, a higher percentage report poor mental health at 16.2% compared to 16.1% in Warsaw.
- Depression is more prevalent in Warsaw at 21.8% compared to 17.9% in Santa paula.
- Smoking is more prevalent in Warsaw at 17.5% compared to 13.4% in Santa paula.
- Binge drinking is more common in Warsaw at 18.6% compared to 15.6% in Santa paula.
- Obesity rates are higher in Warsaw at 36.5% compared to 31.5% in Santa paula.
- Disability percentages are higher in Warsaw at 17.0% compared to 12.0% in Santa paula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Warsaw | Santa paula |
|---|---|---|
| No Schooling | 0.4% (6) | 2.9% (907) |
| High School Diploma | 24.0% (355) | 12.8% (3,980) |
| Less than High School | 11.8% (175) | 43.7% (13,547) |
| Bachelor's Degree and Higher | 16.0% (237) | 8.6% (2,653) |
Education Levels Comparison: Warsaw vs Santa paula
- In Santa paula, a larger percentage of residents lack formal schooling at 2.9% compared to 0.4% in Warsaw.
- A higher percentage of residents in Warsaw hold a high school diploma at 24.0% compared to 12.8% in Santa paula.
- The percentage of residents with less than a high school education is higher in Santa paula at 43.7%, compared to 11.8% in Warsaw.
- A higher percentage of residents in Warsaw hold a bachelor's degree or higher at 16.0% compared to 8.6% in Santa paula.
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.