Demographics details for Sterling, IL vs Mountain view, CA
Population Overview
Compare main population characteristics in Sterling, IL vs Mountain view, CA.
| Data | Sterling | Mountain view |
|---|---|---|
| Population | 14,566 | 81,059 |
| Median Age | 43.0 years | 35.5 years |
| Median Income | $49,007 | $174,156 |
| Married Families | 32.0% | 43.0% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Sterling vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 14,566 in Sterling.
- Residents in Sterling have a higher median age of 43.0 years compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156, compared to $49,007 in Sterling.
- In Mountain view, the percentage of married families is higher at 43.0%, compared to 32.0% in Sterling.
- Sterling has a higher poverty level at 12% compared to 6% in Mountain view.
- The unemployment rate in Sterling is higher at 4.2%, compared to 3.2% in Mountain view.
Demographics
Demographics Sterling vs Mountain view provide insight into the diversity of the communities to compare.
| Demographic | Sterling | Mountain view |
|---|---|---|
| Black | 2 | 2 |
| White | 56 | 32 |
| Asian | 2 | 34 |
| Hispanic | 27 | 19 |
| Two or More Races | 12 | 12 |
| American Indian | 1 | 1 |
Demographics Comparison: Sterling vs Mountain view
- The percentage of Black residents is the same in both Sterling and Mountain view at 2%.
- Sterling has a higher percentage of White residents at 56% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 2% in Sterling.
- The Hispanic community is larger in Sterling at 27% compared to 19% in Mountain view.
- Both Sterling and Mountain view have the same percentage of residents identifying as two or more races at 12%.
- The percentage of American Indian residents is the same in both Sterling and Mountain view at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sterling | Mountain view |
|---|---|---|
| Mental Health Not Good | 16.7% | 11.7% |
| Physical Health Not Good | 12.2% | 7.1% |
| Depression | 22.2% | 14.7% |
| Smoking | 18.6% | 6.5% |
| Binge Drinking | 17.4% | 14.9% |
| Obesity | 39.5% | 19.1% |
| Disability Percentage | 17.0% | 6.0% |
Health Statistics Comparison: Sterling vs Mountain view
- More residents in Sterling report poor mental health at 16.7% compared to 11.7% in Mountain view.
- Depression is more prevalent in Sterling at 22.2% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Sterling at 18.6% compared to 6.5% in Mountain view.
- Binge drinking is more common in Sterling at 17.4% compared to 14.9% in Mountain view.
- Obesity rates are higher in Sterling at 39.5% compared to 19.1% in Mountain view.
- Disability percentages are higher in Sterling at 17.0% compared to 6.0% in Mountain view.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sterling | Mountain view |
|---|---|---|
| No Schooling | 1.1% (164) | 1.0% (826) |
| High School Diploma | 24.1% (3,511) | 4.9% (3,963) |
| Less than High School | 13.8% (2,012) | 7.1% (5,739) |
| Bachelor's Degree and Higher | 11.8% (1,713) | 54.5% (44,174) |
Education Levels Comparison: Sterling vs Mountain view
- A higher percentage of residents in Sterling have no formal schooling at 1.1% compared to 1.0% in Mountain view.
- A higher percentage of residents in Sterling hold a high school diploma at 24.1% compared to 4.9% in Mountain view.
- More residents in Sterling have less than a high school education at 13.8% compared to 7.1% in Mountain view.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 11.8% in Sterling.
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.