Demographics details for Cambridge, MD vs Aurora, IL
Population Overview
Compare main population characteristics in Cambridge, MD vs Aurora, IL.
| Data | Cambridge | Aurora |
|---|---|---|
| Population | 13,129 | 177,866 |
| Median Age | 37.3 years | 35.4 years |
| Median Income | $44,114 | $85,943 |
| Married Families | 27.0% | 38.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 5.2 | 6.0 |
Population Comparison: Cambridge vs Aurora
- The population in Aurora is higher at 177,866, compared to 13,129 in Cambridge.
- Residents in Cambridge have a higher median age of 37.3 years compared to 35.4 years in Aurora.
- Aurora has a higher median income of $85,943, compared to $44,114 in Cambridge.
- In Aurora, the percentage of married families is higher at 38.0%, compared to 27.0% in Cambridge.
- The poverty level is higher in Aurora at 12%, compared to 11% in Cambridge.
- Aurora has a higher unemployment rate at 6.0% compared to 5.2% in Cambridge.
Demographics
Demographics Cambridge vs Aurora provide insight into the diversity of the communities to compare.
| Demographic | Cambridge | Aurora |
|---|---|---|
| Black | 44 | 11 |
| White | 35 | 17 |
| Asian | 2 | 11 |
| Hispanic | 8 | 43 |
| Two or More Races | 11 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cambridge vs Aurora
- A higher percentage of Black residents are in Cambridge at 44% compared to 11% in Aurora.
- Cambridge has a higher percentage of White residents at 35% compared to 17% in Aurora.
- In Aurora, the Asian population stands at 11%, greater than 2% in Cambridge.
- Aurora has a higher percentage of Hispanic residents at 43%, compared to 8% in Cambridge.
- The percentage of residents identifying as two or more races is higher in Aurora at 17%, compared to 11% in Cambridge.
- In Aurora, the percentage of American Indian residents is higher at 1%, compared to 0% in Cambridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cambridge | Aurora |
|---|---|---|
| Mental Health Not Good | 18.2% | 15.0% |
| Physical Health Not Good | 13.2% | 11.8% |
| Depression | 20.3% | 17.8% |
| Smoking | 20.9% | 15.0% |
| Binge Drinking | 12.6% | 15.8% |
| Obesity | 42.2% | 36.8% |
| Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Cambridge vs Aurora
- More residents in Cambridge report poor mental health at 18.2% compared to 15.0% in Aurora.
- Depression is more prevalent in Cambridge at 20.3% compared to 17.8% in Aurora.
- Smoking is more prevalent in Cambridge at 20.9% compared to 15.0% in Aurora.
- More residents engage in binge drinking in Aurora at 15.8% compared to 12.6% in Cambridge.
- Obesity rates are higher in Cambridge at 42.2% compared to 36.8% in Aurora.
- Disability percentages are higher in Cambridge at 18.0% 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 | Cambridge | Aurora |
|---|---|---|
| No Schooling | 0.9% (120) | 2.4% (4,323) |
| High School Diploma | 22.1% (2,903) | 11.5% (20,384) |
| Less than High School | 11.2% (1,477) | 22.9% (40,725) |
| Bachelor's Degree and Higher | 13.6% (1,783) | 22.7% (40,403) |
Education Levels Comparison: Cambridge vs Aurora
- In Aurora, a larger percentage of residents lack formal schooling at 2.4% compared to 0.9% in Cambridge.
- A higher percentage of residents in Cambridge hold a high school diploma at 22.1% compared to 11.5% in Aurora.
- The percentage of residents with less than a high school education is higher in Aurora at 22.9%, compared to 11.2% in Cambridge.
- In Aurora, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 13.6% in Cambridge.
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.