Demographics details for Mountain view, AR vs Aurora, IL
Population Overview
Compare main population characteristics in Mountain view, AR vs Aurora, IL.
| Data | Mountain view | Aurora |
|---|---|---|
| Population | 2,915 | 177,866 |
| Median Age | 55.5 years | 35.4 years |
| Median Income | $23,458 | $85,943 |
| Married Families | 25.0% | 38.0% |
| Poverty Level | 17% | 12% |
| Unemployment Rate | 4.8 | 6.0 |
Population Comparison: Mountain view vs Aurora
- The population in Aurora is higher at 177,866, compared to 2,915 in Mountain view.
- Residents in Mountain view have a higher median age of 55.5 years compared to 35.4 years in Aurora.
- Aurora has a higher median income of $85,943, compared to $23,458 in Mountain view.
- In Aurora, the percentage of married families is higher at 38.0%, compared to 25.0% in Mountain view.
- Mountain view has a higher poverty level at 17% compared to 12% in Aurora.
- Aurora has a higher unemployment rate at 6.0% compared to 4.8% in Mountain view.
Demographics
Demographics Mountain view vs Aurora provide insight into the diversity of the communities to compare.
| Demographic | Mountain view | Aurora |
|---|---|---|
| Black | 1 | 11 |
| White | 89 | 17 |
| Asian | 1 | 11 |
| Hispanic | 8 | 43 |
| Two or More Races | 1 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mountain view vs Aurora
- In Aurora, the percentage of Black residents is higher at 11% compared to 1% in Mountain view.
- Mountain view has a higher percentage of White residents at 89% compared to 17% in Aurora.
- In Aurora, the Asian population stands at 11%, greater than 1% in Mountain view.
- Aurora has a higher percentage of Hispanic residents at 43%, compared to 8% in Mountain view.
- The percentage of residents identifying as two or more races is higher in Aurora at 17%, compared to 1% in Mountain view.
- In Aurora, the percentage of American Indian residents is higher at 1%, compared to 0% in Mountain view.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain view | Aurora |
|---|---|---|
| Mental Health Not Good | 22.6% | 15.0% |
| Physical Health Not Good | 16.7% | 11.8% |
| Depression | 31.9% | 17.8% |
| Smoking | 26.6% | 15.0% |
| Binge Drinking | 14.9% | 15.8% |
| Obesity | 41.1% | 36.8% |
| Disability Percentage | 36.0% | 8.0% |
Health Statistics Comparison: Mountain view vs Aurora
- More residents in Mountain view report poor mental health at 22.6% compared to 15.0% in Aurora.
- Depression is more prevalent in Mountain view at 31.9% compared to 17.8% in Aurora.
- Smoking is more prevalent in Mountain view at 26.6% compared to 15.0% in Aurora.
- More residents engage in binge drinking in Aurora at 15.8% compared to 14.9% in Mountain view.
- Obesity rates are higher in Mountain view at 41.1% compared to 36.8% in Aurora.
- Disability percentages are higher in Mountain view at 36.0% 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 | Mountain view | Aurora |
|---|---|---|
| No Schooling | 2.4% (70) | 2.4% (4,323) |
| High School Diploma | 17.8% (520) | 11.5% (20,384) |
| Less than High School | 15.9% (464) | 22.9% (40,725) |
| Bachelor's Degree and Higher | 11.3% (329) | 22.7% (40,403) |
Education Levels Comparison: Mountain view vs Aurora
- The percentage of residents with no formal schooling is the same in both Mountain view and Aurora at 2.4%.
- A higher percentage of residents in Mountain view hold a high school diploma at 17.8% 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 15.9% in Mountain view.
- In Aurora, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 11.3% in Mountain view.
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.