Demographics details for Aurora, IL vs North beach, MD
Population Overview
Compare main population characteristics in Aurora, IL vs North beach, MD.
| Data | Aurora | North beach |
|---|---|---|
| Population | 177,866 | 2,176 |
| Median Age | 35.4 years | 32.2 years |
| Median Income | $85,943 | $78,442 |
| Married Families | 38.0% | 28.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 6.0 | 3.5 |
Population Comparison: Aurora vs North beach
- In Aurora, the population is higher at 177,866, compared to 2,176 in North beach.
- Residents in Aurora have a higher median age of 35.4 years compared to 32.2 years in North beach.
- Aurora has a higher median income of $85,943 compared to $78,442 in North beach.
- A higher percentage of married families is found in Aurora at 38.0% compared to 28.0% in North beach.
- Aurora has a higher poverty level at 12% compared to 5% in North beach.
- The unemployment rate in Aurora is higher at 6.0%, compared to 3.5% in North beach.
Demographics
Demographics Aurora vs North beach provide insight into the diversity of the communities to compare.
| Demographic | Aurora | North beach |
|---|---|---|
| Black | 11 | 27 |
| White | 17 | 49 |
| Asian | 11 | 9 |
| Hispanic | 43 | 6 |
| Two or More Races | 17 | 8 |
| American Indian | 1 | 1 |
Demographics Comparison: Aurora vs North beach
- In North beach, the percentage of Black residents is higher at 27% compared to 11% in Aurora.
- The percentage of White residents is higher in North beach at 49% compared to 17% in Aurora.
- The Asian population is larger in Aurora at 11% compared to 9% in North beach.
- The Hispanic community is larger in Aurora at 43% compared to 6% in North beach.
- More residents identify as two or more races in Aurora at 17% compared to 8% in North beach.
- The percentage of American Indian residents is the same in both Aurora and North beach at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Aurora | North beach |
|---|---|---|
| Mental Health Not Good | 15.0% | 15.8% |
| Physical Health Not Good | 11.8% | 9.3% |
| Depression | 17.8% | 20.4% |
| Smoking | 15.0% | 13.4% |
| Binge Drinking | 15.8% | 18.0% |
| Obesity | 36.8% | 35.4% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Aurora vs North beach
- In North beach, a higher percentage report poor mental health at 15.8% compared to 15.0% in Aurora.
- Higher depression rates are seen in North beach at 20.4% versus 17.8% in Aurora.
- Smoking is more prevalent in Aurora at 15.0% compared to 13.4% in North beach.
- More residents engage in binge drinking in North beach at 18.0% compared to 15.8% in Aurora.
- Obesity rates are higher in Aurora at 36.8% compared to 35.4% in North beach.
- There is a higher percentage of disabled individuals in North beach at 11.0% 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 | North beach |
|---|---|---|
| No Schooling | 2.4% (4,323) | 1.4% (31) |
| High School Diploma | 11.5% (20,384) | 13.7% (299) |
| Less than High School | 22.9% (40,725) | 7.5% (164) |
| Bachelor's Degree and Higher | 22.7% (40,403) | 29.1% (633) |
Education Levels Comparison: Aurora vs North beach
- A higher percentage of residents in Aurora have no formal schooling at 2.4% compared to 1.4% in North beach.
- In North beach, the rate of residents with high school diplomas is higher at 13.7% compared to 11.5% in Aurora.
- More residents in Aurora have less than a high school education at 22.9% compared to 7.5% in North beach.
- In North beach, a larger share of residents have a bachelor's degree or higher at 29.1% compared to 22.7% in Aurora.
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.