Demographics details for Santa ana, CA vs Champaign, IL
Population Overview
Compare main population characteristics in Santa ana, CA vs Champaign, IL.
| Data | Santa ana | Champaign |
|---|---|---|
| Population | 308,189 | 89,241 |
| Median Age | 33.4 years | 27.0 years |
| Median Income | $84,210 | $58,273 |
| Married Families | 35.0% | 29.0% |
| Poverty Level | 14% | 19% |
| Unemployment Rate | 4.1 | 5.5 |
Population Comparison: Santa ana vs Champaign
- In Santa ana, the population is higher at 308,189, compared to 89,241 in Champaign.
- Residents in Santa ana have a higher median age of 33.4 years compared to 27.0 years in Champaign.
- Santa ana has a higher median income of $84,210 compared to $58,273 in Champaign.
- A higher percentage of married families is found in Santa ana at 35.0% compared to 29.0% in Champaign.
- The poverty level is higher in Champaign at 19%, compared to 14% in Santa ana.
- Champaign has a higher unemployment rate at 5.5% compared to 4.1% in Santa ana.
Demographics
Demographics Santa ana vs Champaign provide insight into the diversity of the communities to compare.
| Demographic | Santa ana | Champaign |
|---|---|---|
| Black | 1 | 17 |
| White | -5 | 56 |
| Asian | 12 | 16 |
| Hispanic | 78 | 6 |
| Two or More Races | 13 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Santa ana vs Champaign
- In Champaign, the percentage of Black residents is higher at 17% compared to 1% in Santa ana.
- The percentage of White residents is higher in Champaign at 56% compared to -5% in Santa ana.
- In Champaign, the Asian population stands at 16%, greater than 12% in Santa ana.
- The Hispanic community is larger in Santa ana at 78% compared to 6% in Champaign.
- More residents identify as two or more races in Santa ana at 13% compared to 5% in Champaign.
- A greater percentage of American Indian residents live in Santa ana at 1% compared to 0% in Champaign.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa ana | Champaign |
|---|---|---|
| Mental Health Not Good | 16.4% | 15.8% |
| Physical Health Not Good | 13.8% | 10.5% |
| Depression | 17.2% | 20.2% |
| Smoking | 13.4% | 15.2% |
| Binge Drinking | 14.6% | 16.0% |
| Obesity | 31.6% | 32.6% |
| Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Santa ana vs Champaign
- More residents in Santa ana report poor mental health at 16.4% compared to 15.8% in Champaign.
- Higher depression rates are seen in Champaign at 20.2% versus 17.2% in Santa ana.
- Champaign has a higher smoking rate at 15.2% compared to 13.4% in Santa ana.
- More residents engage in binge drinking in Champaign at 16.0% compared to 14.6% in Santa ana.
- Champaign has higher obesity rates at 32.6% compared to 31.6% in Santa ana.
- Disability percentages are the same in both Santa ana and Champaign at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa ana | Champaign |
|---|---|---|
| No Schooling | 5.1% (15,819) | 0.5% (457) |
| High School Diploma | 14.7% (45,332) | 7.9% (7,060) |
| Less than High School | 42.9% (132,303) | 5.1% (4,513) |
| Bachelor's Degree and Higher | 11.6% (35,860) | 27.5% (24,520) |
Education Levels Comparison: Santa ana vs Champaign
- A higher percentage of residents in Santa ana have no formal schooling at 5.1% compared to 0.5% in Champaign.
- A higher percentage of residents in Santa ana hold a high school diploma at 14.7% compared to 7.9% in Champaign.
- More residents in Santa ana have less than a high school education at 42.9% compared to 5.1% in Champaign.
- In Champaign, a larger share of residents have a bachelor's degree or higher at 27.5% compared to 11.6% in Santa ana.
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.