Demographics details for Galena, IL vs Mountain view, CA
Population Overview
Compare main population characteristics in Galena, IL vs Mountain view, CA.
| Data | Galena | Mountain view |
|---|---|---|
| Population | 3,254 | 81,059 |
| Median Age | 59.7 years | 35.5 years |
| Median Income | $52,734 | $174,156 |
| Married Families | 41.0% | 43.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 3.0 | 3.2 |
Population Comparison: Galena vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 3,254 in Galena.
- Residents in Galena have a higher median age of 59.7 years compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156, compared to $52,734 in Galena.
- In Mountain view, the percentage of married families is higher at 43.0%, compared to 41.0% in Galena.
- The poverty level is higher in Mountain view at 6%, compared to 5% in Galena.
- Mountain view has a higher unemployment rate at 3.2% compared to 3.0% in Galena.
Demographics
Demographics Galena vs Mountain view provide insight into the diversity of the communities to compare.
| Demographic | Galena | Mountain view |
|---|---|---|
| Black | 1 | 2 |
| White | 97 | 32 |
| Asian | Data is updating | 34 |
| Hispanic | 2 | 19 |
| Two or More Races | Data is updating | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Galena vs Mountain view
- In Mountain view, the percentage of Black residents is higher at 2% compared to 1% in Galena.
- Galena has a higher percentage of White residents at 97% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 0% in Galena.
- Mountain view has a higher percentage of Hispanic residents at 19%, compared to 2% in Galena.
- The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 0% in Galena.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Galena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Galena | Mountain view |
|---|---|---|
| Mental Health Not Good | 15.0% | 11.7% |
| Physical Health Not Good | 10.0% | 7.1% |
| Depression | 20.9% | 14.7% |
| Smoking | 15.3% | 6.5% |
| Binge Drinking | 18.4% | 14.9% |
| Obesity | 35.2% | 19.1% |
| Disability Percentage | 18.0% | 6.0% |
Health Statistics Comparison: Galena vs Mountain view
- More residents in Galena report poor mental health at 15.0% compared to 11.7% in Mountain view.
- Depression is more prevalent in Galena at 20.9% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Galena at 15.3% compared to 6.5% in Mountain view.
- Binge drinking is more common in Galena at 18.4% compared to 14.9% in Mountain view.
- Obesity rates are higher in Galena at 35.2% compared to 19.1% in Mountain view.
- Disability percentages are higher in Galena at 18.0% 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 | Galena | Mountain view |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (826) |
| High School Diploma | 22.8% (741) | 4.9% (3,963) |
| Less than High School | 6.1% (200) | 7.1% (5,739) |
| Bachelor's Degree and Higher | 28.0% (911) | 54.5% (44,174) |
Education Levels Comparison: Galena vs Mountain view
- In Mountain view, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Galena.
- A higher percentage of residents in Galena hold a high school diploma at 22.8% compared to 4.9% in Mountain view.
- The percentage of residents with less than a high school education is higher in Mountain view at 7.1%, compared to 6.1% in Galena.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 28.0% in Galena.
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.