Demographics details for Mountain view, CA vs Ovid, CO
Population Overview
Compare main population characteristics in Mountain view, CA vs Ovid, CO.
| Data | Mountain view | Ovid |
|---|---|---|
| Population | 81,059 | 259 |
| Median Age | 35.5 years | 55.0 years |
| Median Income | $174,156 | $28,409 |
| Married Families | 43.0% | 43.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Mountain view vs Ovid
- In Mountain view, the population is higher at 81,059, compared to 259 in Ovid.
- The median age in Ovid is higher at 55.0 years, compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156 compared to $28,409 in Ovid.
- The percentage of married families is the same in both Mountain view and Ovid at 43.0%.
- The poverty level is higher in Ovid at 10%, compared to 6% in Mountain view.
- Ovid has a higher unemployment rate at 4.0% compared to 3.2% in Mountain view.
Demographics
Demographics Mountain view vs Ovid provide insight into the diversity of the communities to compare.
| Demographic | Mountain view | Ovid |
|---|---|---|
| Black | 2 | Data is updating |
| White | 32 | 60 |
| Asian | 34 | Data is updating |
| Hispanic | 19 | 29 |
| Two or More Races | 12 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Mountain view vs Ovid
- A higher percentage of Black residents are in Mountain view at 2% compared to 0% in Ovid.
- The percentage of White residents is higher in Ovid at 60% compared to 32% in Mountain view.
- The Asian population is larger in Mountain view at 34% compared to 0% in Ovid.
- Ovid has a higher percentage of Hispanic residents at 29%, compared to 19% in Mountain view.
- More residents identify as two or more races in Mountain view at 12% compared to 11% in Ovid.
- A greater percentage of American Indian residents live in Mountain view at 1% compared to 0% in Ovid.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain view | Ovid |
|---|---|---|
| Mental Health Not Good | 11.7% | 17.7% |
| Physical Health Not Good | 7.1% | 12.8% |
| Depression | 14.7% | 23.8% |
| Smoking | 6.5% | 18.9% |
| Binge Drinking | 14.9% | 18.9% |
| Obesity | 19.1% | 29.0% |
| Disability Percentage | 6.0% | 22.0% |
Health Statistics Comparison: Mountain view vs Ovid
- In Ovid, a higher percentage report poor mental health at 17.7% compared to 11.7% in Mountain view.
- Higher depression rates are seen in Ovid at 23.8% versus 14.7% in Mountain view.
- Ovid has a higher smoking rate at 18.9% compared to 6.5% in Mountain view.
- More residents engage in binge drinking in Ovid at 18.9% compared to 14.9% in Mountain view.
- Ovid has higher obesity rates at 29.0% compared to 19.1% in Mountain view.
- There is a higher percentage of disabled individuals in Ovid at 22.0% 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 | Mountain view | Ovid |
|---|---|---|
| No Schooling | 1.0% (826) | 1.2% (3) |
| High School Diploma | 4.9% (3,963) | 21.2% (55) |
| Less than High School | 7.1% (5,739) | 11.6% (30) |
| Bachelor's Degree and Higher | 54.5% (44,174) | 16.2% (42) |
Education Levels Comparison: Mountain view vs Ovid
- In Ovid, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in Mountain view.
- In Ovid, the rate of residents with high school diplomas is higher at 21.2% compared to 4.9% in Mountain view.
- The percentage of residents with less than a high school education is higher in Ovid at 11.6%, compared to 7.1% in Mountain view.
- A higher percentage of residents in Mountain view hold a bachelor's degree or higher at 54.5% compared to 16.2% in Ovid.
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.