Demographics details for Mountain view, CA vs Sulphur, OK
Population Overview
Compare main population characteristics in Mountain view, CA vs Sulphur, OK.
| Data | Mountain view | Sulphur |
|---|---|---|
| Population | 81,059 | 4,951 |
| Median Age | 35.5 years | 38.8 years |
| Median Income | $174,156 | $55,951 |
| Married Families | 43.0% | 34.0% |
| Poverty Level | 6% | 14% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Mountain view vs Sulphur
- In Mountain view, the population is higher at 81,059, compared to 4,951 in Sulphur.
- The median age in Sulphur is higher at 38.8 years, compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156 compared to $55,951 in Sulphur.
- A higher percentage of married families is found in Mountain view at 43.0% compared to 34.0% in Sulphur.
- The poverty level is higher in Sulphur at 14%, compared to 6% in Mountain view.
- Sulphur has a higher unemployment rate at 3.5% compared to 3.2% in Mountain view.
Demographics
Demographics Mountain view vs Sulphur provide insight into the diversity of the communities to compare.
| Demographic | Mountain view | Sulphur |
|---|---|---|
| Black | 2 | 2 |
| White | 32 | 60 |
| Asian | 34 | Data is updating |
| Hispanic | 19 | 12 |
| Two or More Races | 12 | 16 |
| American Indian | 1 | 10 |
Demographics Comparison: Mountain view vs Sulphur
- The percentage of Black residents is the same in both Mountain view and Sulphur at 2%.
- The percentage of White residents is higher in Sulphur at 60% compared to 32% in Mountain view.
- The Asian population is larger in Mountain view at 34% compared to 0% in Sulphur.
- The Hispanic community is larger in Mountain view at 19% compared to 12% in Sulphur.
- The percentage of residents identifying as two or more races is higher in Sulphur at 16%, compared to 12% in Mountain view.
- In Sulphur, the percentage of American Indian residents is higher at 10%, compared to 1% in Mountain view.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain view | Sulphur |
|---|---|---|
| Mental Health Not Good | 11.7% | 19.2% |
| Physical Health Not Good | 7.1% | 13.1% |
| Depression | 14.7% | 25.3% |
| Smoking | 6.5% | 21.4% |
| Binge Drinking | 14.9% | 14.6% |
| Obesity | 19.1% | 40.7% |
| Disability Percentage | 6.0% | 19.0% |
Health Statistics Comparison: Mountain view vs Sulphur
- In Sulphur, a higher percentage report poor mental health at 19.2% compared to 11.7% in Mountain view.
- Higher depression rates are seen in Sulphur at 25.3% versus 14.7% in Mountain view.
- Sulphur has a higher smoking rate at 21.4% compared to 6.5% in Mountain view.
- Binge drinking is more common in Mountain view at 14.9% compared to 14.6% in Sulphur.
- Sulphur has higher obesity rates at 40.7% compared to 19.1% in Mountain view.
- There is a higher percentage of disabled individuals in Sulphur at 19.0% 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 | Sulphur |
|---|---|---|
| No Schooling | 1.0% (826) | 1.8% (88) |
| High School Diploma | 4.9% (3,963) | 18.2% (899) |
| Less than High School | 7.1% (5,739) | 18.1% (898) |
| Bachelor's Degree and Higher | 54.5% (44,174) | 10.9% (542) |
Education Levels Comparison: Mountain view vs Sulphur
- In Sulphur, a larger percentage of residents lack formal schooling at 1.8% compared to 1.0% in Mountain view.
- In Sulphur, the rate of residents with high school diplomas is higher at 18.2% compared to 4.9% in Mountain view.
- The percentage of residents with less than a high school education is higher in Sulphur at 18.1%, 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 10.9% in Sulphur.
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.