Demographics details for Aurora, IL vs What cheer, IA
Population Overview
Compare main population characteristics in Aurora, IL vs What cheer, IA.
| Data | Aurora | What cheer |
|---|---|---|
| Population | 177,866 | 597 |
| Median Age | 35.4 years | 34.8 years |
| Median Income | $85,943 | $45,500 |
| Married Families | 38.0% | 45.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 6.0 | 3.9 |
Population Comparison: Aurora vs What cheer
- In Aurora, the population is higher at 177,866, compared to 597 in What cheer.
- Residents in Aurora have a higher median age of 35.4 years compared to 34.8 years in What cheer.
- Aurora has a higher median income of $85,943 compared to $45,500 in What cheer.
- In What cheer, the percentage of married families is higher at 45.0%, compared to 38.0% in Aurora.
- The poverty level is identical in both Aurora and What cheer at 12%.
- The unemployment rate in Aurora is higher at 6.0%, compared to 3.9% in What cheer.
Demographics
Demographics Aurora vs What cheer provide insight into the diversity of the communities to compare.
| Demographic | Aurora | What cheer |
|---|---|---|
| Black | 11 | 3 |
| White | 17 | 87 |
| Asian | 11 | Data is updating |
| Hispanic | 43 | 6 |
| Two or More Races | 17 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Aurora vs What cheer
- A higher percentage of Black residents are in Aurora at 11% compared to 3% in What cheer.
- The percentage of White residents is higher in What cheer at 87% compared to 17% in Aurora.
- The Asian population is larger in Aurora at 11% compared to 0% in What cheer.
- The Hispanic community is larger in Aurora at 43% compared to 6% in What cheer.
- More residents identify as two or more races in Aurora at 17% compared to 4% in What cheer.
- A greater percentage of American Indian residents live in Aurora at 1% compared to 0% in What cheer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Aurora | What cheer |
|---|---|---|
| Mental Health Not Good | 15.0% | 17.0% |
| Physical Health Not Good | 11.8% | 11.3% |
| Depression | 17.8% | 20.1% |
| Smoking | 15.0% | 21.2% |
| Binge Drinking | 15.8% | 21.0% |
| Obesity | 36.8% | 40.1% |
| Disability Percentage | 8.0% | 30.0% |
Health Statistics Comparison: Aurora vs What cheer
- In What cheer, a higher percentage report poor mental health at 17.0% compared to 15.0% in Aurora.
- Higher depression rates are seen in What cheer at 20.1% versus 17.8% in Aurora.
- What cheer has a higher smoking rate at 21.2% compared to 15.0% in Aurora.
- More residents engage in binge drinking in What cheer at 21.0% compared to 15.8% in Aurora.
- What cheer has higher obesity rates at 40.1% compared to 36.8% in Aurora.
- There is a higher percentage of disabled individuals in What cheer at 30.0% compared to 8.0% in Aurora.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Aurora | What cheer |
|---|---|---|
| No Schooling | 2.4% (4,323) | 1.5% (9) |
| High School Diploma | 11.5% (20,384) | 31.8% (190) |
| Less than High School | 22.9% (40,725) | 11.9% (71) |
| Bachelor's Degree and Higher | 22.7% (40,403) | 5.0% (30) |
Education Levels Comparison: Aurora vs What cheer
- A higher percentage of residents in Aurora have no formal schooling at 2.4% compared to 1.5% in What cheer.
- In What cheer, the rate of residents with high school diplomas is higher at 31.8% compared to 11.5% in Aurora.
- More residents in Aurora have less than a high school education at 22.9% compared to 11.9% in What cheer.
- A higher percentage of residents in Aurora hold a bachelor's degree or higher at 22.7% compared to 5.0% in What cheer.
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.