Demographics details for Gill, CO vs Mountain view, CA
Population Overview
Compare main population characteristics in Gill, CO vs Mountain view, CA.
Data | Gill | Mountain view |
---|---|---|
Population | 102 | 81,059 |
Median Age | 37.0 years | 35.5 years |
Median Income | $60,000 | $174,156 |
Married Families | 30.0% | 43.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 3.0 | 3.2 |
Population Comparison: Gill vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 102 in Gill.
- Residents in Gill have a higher median age of 37.0 years compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156, compared to $60,000 in Gill.
- In Mountain view, the percentage of married families is higher at 43.0%, compared to 30.0% in Gill.
- Gill has a higher poverty level at 12% compared to 6% in Mountain view.
- Mountain view has a higher unemployment rate at 3.2% compared to 3.0% in Gill.
Demographics
Demographics Gill vs Mountain view provide insight into the diversity of the communities to compare.
Demographic | Gill | Mountain view |
---|---|---|
Black | Data is updating | 2 |
White | 100 | 32 |
Asian | Data is updating | 34 |
Hispanic | Data is updating | 19 |
Two or More Races | Data is updating | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Gill vs Mountain view
- In Mountain view, the percentage of Black residents is higher at 2% compared to 0% in Gill.
- Gill has a higher percentage of White residents at 100% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 0% in Gill.
- Mountain view has a higher percentage of Hispanic residents at 19%, compared to 0% in Gill.
- The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 0% in Gill.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Gill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Gill | Mountain view |
---|---|---|
Mental Health Not Good | Data is updating% | 11.7% |
Physical Health Not Good | Data is updating% | 7.1% |
Depression | Data is updating% | 14.7% |
Smoking | Data is updating% | 6.5% |
Binge Drinking | Data is updating% | 14.9% |
Obesity | Data is updating% | 19.1% |
Disability Percentage | Data is updating% | 6.0% |
Health Statistics Comparison: Gill vs Mountain view
- In Mountain view, a higher percentage report poor mental health at 11.7% compared to 0.0% in Gill.
- Higher depression rates are seen in Mountain view at 14.7% versus 0.0% in Gill.
- Mountain view has a higher smoking rate at 6.5% compared to 0.0% in Gill.
- More residents engage in binge drinking in Mountain view at 14.9% compared to 0.0% in Gill.
- Mountain view has higher obesity rates at 19.1% compared to 0.0% in Gill.
- There is a higher percentage of disabled individuals in Mountain view at 6.0% compared to 0.0% in Gill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Gill | Mountain view |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.0% (826) |
High School Diploma | 0.0% (Data is updating) | 4.9% (3,963) |
Less than High School | 0.0% (Data is updating) | 7.1% (5,739) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 54.5% (44,174) |
Education Levels Comparison: Gill vs Mountain view
- In Mountain view, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Gill.
- In Mountain view, the rate of residents with high school diplomas is higher at 4.9% compared to 0.0% in Gill.
- The percentage of residents with less than a high school education is higher in Mountain view at 7.1%, compared to 0.0% in Gill.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 0.0% in Gill.
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.