Demographics details for Golden, CO vs Mountain view, CA
Population Overview
Compare main population characteristics in Golden, CO vs Mountain view, CA.
| Data | Golden | Mountain view |
|---|---|---|
| Population | 20,460 | 81,059 |
| Median Age | 35.2 years | 35.5 years |
| Median Income | $90,990 | $174,156 |
| Married Families | 36.0% | 43.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Golden vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 20,460 in Golden.
- The median age in Mountain view is higher at 35.5 years, compared to 35.2 years in Golden.
- Mountain view has a higher median income of $174,156, compared to $90,990 in Golden.
- In Mountain view, the percentage of married families is higher at 43.0%, compared to 36.0% in Golden.
- The poverty level is higher in Mountain view at 6%, compared to 0% in Golden.
- Mountain view has a higher unemployment rate at 3.2% compared to 2.5% in Golden.
Demographics
Demographics Golden vs Mountain view provide insight into the diversity of the communities to compare.
| Demographic | Golden | Mountain view |
|---|---|---|
| Black | 2 | 2 |
| White | 80 | 32 |
| Asian | 2 | 34 |
| Hispanic | 10 | 19 |
| Two or More Races | 6 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Golden vs Mountain view
- The percentage of Black residents is the same in both Golden and Mountain view at 2%.
- Golden has a higher percentage of White residents at 80% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 2% in Golden.
- Mountain view has a higher percentage of Hispanic residents at 19%, compared to 10% in Golden.
- The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 6% in Golden.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Golden.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Golden | Mountain view |
|---|---|---|
| Mental Health Not Good | 13.9% | 11.7% |
| Physical Health Not Good | 9.2% | 7.1% |
| Depression | 20.2% | 14.7% |
| Smoking | 13.5% | 6.5% |
| Binge Drinking | 22.0% | 14.9% |
| Obesity | 24.7% | 19.1% |
| Disability Percentage | 8.0% | 6.0% |
Health Statistics Comparison: Golden vs Mountain view
- More residents in Golden report poor mental health at 13.9% compared to 11.7% in Mountain view.
- Depression is more prevalent in Golden at 20.2% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Golden at 13.5% compared to 6.5% in Mountain view.
- Binge drinking is more common in Golden at 22.0% compared to 14.9% in Mountain view.
- Obesity rates are higher in Golden at 24.7% compared to 19.1% in Mountain view.
- Disability percentages are higher in Golden at 8.0% 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 | Golden | Mountain view |
|---|---|---|
| No Schooling | 0.2% (40) | 1.0% (826) |
| High School Diploma | 10.2% (2,094) | 4.9% (3,963) |
| Less than High School | 5.3% (1,085) | 7.1% (5,739) |
| Bachelor's Degree and Higher | 35.1% (7,177) | 54.5% (44,174) |
Education Levels Comparison: Golden vs Mountain view
- In Mountain view, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Golden.
- A higher percentage of residents in Golden hold a high school diploma at 10.2% 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 5.3% in Golden.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 35.1% in Golden.
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.