Demographics details for Champaign, IL vs Suffolk, VA
Population Overview
Compare main population characteristics in Champaign, IL vs Suffolk, VA.
| Data | Champaign | Suffolk |
|---|---|---|
| Population | 89,241 | 98,537 |
| Median Age | 27.0 years | 38.5 years |
| Median Income | $58,273 | $87,758 |
| Married Families | 29.0% | 40.0% |
| Poverty Level | 19% | 7% |
| Unemployment Rate | 5.5 | 3.2 |
Population Comparison: Champaign vs Suffolk
- The population in Suffolk is higher at 98,537, compared to 89,241 in Champaign.
- The median age in Suffolk is higher at 38.5 years, compared to 27.0 years in Champaign.
- Suffolk has a higher median income of $87,758, compared to $58,273 in Champaign.
- In Suffolk, the percentage of married families is higher at 40.0%, compared to 29.0% in Champaign.
- Champaign has a higher poverty level at 19% compared to 7% in Suffolk.
- The unemployment rate in Champaign is higher at 5.5%, compared to 3.2% in Suffolk.
Demographics
Demographics Champaign vs Suffolk provide insight into the diversity of the communities to compare.
| Demographic | Champaign | Suffolk |
|---|---|---|
| Black | 17 | 40 |
| White | 56 | 47 |
| Asian | 16 | 2 |
| Hispanic | 6 | 5 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Champaign vs Suffolk
- In Suffolk, the percentage of Black residents is higher at 40% compared to 17% in Champaign.
- Champaign has a higher percentage of White residents at 56% compared to 47% in Suffolk.
- The Asian population is larger in Champaign at 16% compared to 2% in Suffolk.
- The Hispanic community is larger in Champaign at 6% compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in Suffolk at 6%, compared to 5% in Champaign.
- The percentage of American Indian residents is the same in both Champaign and Suffolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Champaign | Suffolk |
|---|---|---|
| Mental Health Not Good | 15.8% | 16.6% |
| Physical Health Not Good | 10.5% | 10.6% |
| Depression | 20.2% | 21.4% |
| Smoking | 15.2% | 15.3% |
| Binge Drinking | 16.0% | 16.6% |
| Obesity | 32.6% | 42.4% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Champaign vs Suffolk
- In Suffolk, a higher percentage report poor mental health at 16.6% compared to 15.8% in Champaign.
- Higher depression rates are seen in Suffolk at 21.4% versus 20.2% in Champaign.
- Suffolk has a higher smoking rate at 15.3% compared to 15.2% in Champaign.
- More residents engage in binge drinking in Suffolk at 16.6% compared to 16.0% in Champaign.
- Suffolk has higher obesity rates at 42.4% compared to 32.6% in Champaign.
- There is a higher percentage of disabled individuals in Suffolk at 11.0% compared to 8.0% in Champaign.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Champaign | Suffolk |
|---|---|---|
| No Schooling | 0.5% (457) | 1.0% (965) |
| High School Diploma | 7.9% (7,060) | 14.9% (14,643) |
| Less than High School | 5.1% (4,513) | 7.8% (7,701) |
| Bachelor's Degree and Higher | 27.5% (24,520) | 21.0% (20,740) |
Education Levels Comparison: Champaign vs Suffolk
- In Suffolk, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Champaign.
- In Suffolk, the rate of residents with high school diplomas is higher at 14.9% compared to 7.9% in Champaign.
- The percentage of residents with less than a high school education is higher in Suffolk at 7.8%, compared to 5.1% in Champaign.
- A higher percentage of residents in Champaign hold a bachelor's degree or higher at 27.5% compared to 21.0% in Suffolk.
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.