Demographics details for Mountain view, CA vs Bellaire, OH
Population Overview
Compare main population characteristics in Mountain view, CA vs Bellaire, OH.
Data | Mountain view | Bellaire |
---|---|---|
Population | 81,059 | 3,802 |
Median Age | 35.5 years | 35.8 years |
Median Income | $174,156 | $40,650 |
Married Families | 43.0% | 30.0% |
Poverty Level | 6% | 24% |
Unemployment Rate | 3.2 | 6.1 |
Population Comparison: Mountain view vs Bellaire
- In Mountain view, the population is higher at 81,059, compared to 3,802 in Bellaire.
- The median age in Bellaire is higher at 35.8 years, compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156 compared to $40,650 in Bellaire.
- A higher percentage of married families is found in Mountain view at 43.0% compared to 30.0% in Bellaire.
- The poverty level is higher in Bellaire at 24%, compared to 6% in Mountain view.
- Bellaire has a higher unemployment rate at 6.1% compared to 3.2% in Mountain view.
Demographics
Demographics Mountain view vs Bellaire provide insight into the diversity of the communities to compare.
Demographic | Mountain view | Bellaire |
---|---|---|
Black | 2 | 7 |
White | 32 | 85 |
Asian | 34 | Data is updating |
Hispanic | 19 | Data is updating |
Two or More Races | 12 | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Mountain view vs Bellaire
- In Bellaire, the percentage of Black residents is higher at 7% compared to 2% in Mountain view.
- The percentage of White residents is higher in Bellaire at 85% compared to 32% in Mountain view.
- The Asian population is larger in Mountain view at 34% compared to 0% in Bellaire.
- The Hispanic community is larger in Mountain view at 19% compared to 0% in Bellaire.
- More residents identify as two or more races in Mountain view at 12% compared to 8% in Bellaire.
- A greater percentage of American Indian residents live in Mountain view at 1% compared to 0% in Bellaire.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain view | Bellaire |
---|---|---|
Mental Health Not Good | 11.7% | 21.5% |
Physical Health Not Good | 7.1% | 16.0% |
Depression | 14.7% | 27.5% |
Smoking | 6.5% | 29.8% |
Binge Drinking | 14.9% | 15.9% |
Obesity | 19.1% | 43.1% |
Disability Percentage | 6.0% | 19.0% |
Health Statistics Comparison: Mountain view vs Bellaire
- In Bellaire, a higher percentage report poor mental health at 21.5% compared to 11.7% in Mountain view.
- Higher depression rates are seen in Bellaire at 27.5% versus 14.7% in Mountain view.
- Bellaire has a higher smoking rate at 29.8% compared to 6.5% in Mountain view.
- More residents engage in binge drinking in Bellaire at 15.9% compared to 14.9% in Mountain view.
- Bellaire has higher obesity rates at 43.1% compared to 19.1% in Mountain view.
- There is a higher percentage of disabled individuals in Bellaire 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 | Bellaire |
---|---|---|
No Schooling | 1.0% (826) | 0.8% (32) |
High School Diploma | 4.9% (3,963) | 31.3% (1,190) |
Less than High School | 7.1% (5,739) | 9.1% (345) |
Bachelor's Degree and Higher | 54.5% (44,174) | 4.0% (153) |
Education Levels Comparison: Mountain view vs Bellaire
- A higher percentage of residents in Mountain view have no formal schooling at 1.0% compared to 0.8% in Bellaire.
- In Bellaire, the rate of residents with high school diplomas is higher at 31.3% compared to 4.9% in Mountain view.
- The percentage of residents with less than a high school education is higher in Bellaire at 9.1%, 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 4.0% in Bellaire.
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.