Demographics details for Buffalo, NY vs Mountain view, CA
Population Overview
Compare main population characteristics in Buffalo, NY vs Mountain view, CA.
| Data | Buffalo | Mountain view |
|---|---|---|
| Population | 276,486 | 81,059 |
| Median Age | 33.9 years | 35.5 years |
| Median Income | $46,184 | $174,156 |
| Married Families | 24.0% | 43.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 5.3 | 3.2 |
Population Comparison: Buffalo vs Mountain view
- In Buffalo, the population is higher at 276,486, compared to 81,059 in Mountain view.
- The median age in Mountain view is higher at 35.5 years, compared to 33.9 years in Buffalo.
- Mountain view has a higher median income of $174,156, compared to $46,184 in Buffalo.
- In Mountain view, the percentage of married families is higher at 43.0%, compared to 24.0% in Buffalo.
- The poverty level is higher in Mountain view at 6%, compared to 0% in Buffalo.
- The unemployment rate in Buffalo is higher at 5.3%, compared to 3.2% in Mountain view.
Demographics
Demographics Buffalo vs Mountain view provide insight into the diversity of the communities to compare.
| Demographic | Buffalo | Mountain view |
|---|---|---|
| Black | 33 | 2 |
| White | 40 | 32 |
| Asian | 8 | 34 |
| Hispanic | 12 | 19 |
| Two or More Races | 7 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Buffalo vs Mountain view
- A higher percentage of Black residents are in Buffalo at 33% compared to 2% in Mountain view.
- Buffalo has a higher percentage of White residents at 40% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 8% in Buffalo.
- Mountain view has a higher percentage of Hispanic residents at 19%, compared to 12% in Buffalo.
- The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 7% in Buffalo.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Buffalo.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Buffalo | Mountain view |
|---|---|---|
| Mental Health Not Good | 19.0% | 11.7% |
| Physical Health Not Good | 14.1% | 7.1% |
| Depression | 24.9% | 14.7% |
| Smoking | 23.9% | 6.5% |
| Binge Drinking | 17.1% | 14.9% |
| Obesity | 41.7% | 19.1% |
| Disability Percentage | 17.0% | 6.0% |
Health Statistics Comparison: Buffalo vs Mountain view
- More residents in Buffalo report poor mental health at 19.0% compared to 11.7% in Mountain view.
- Depression is more prevalent in Buffalo at 24.9% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Buffalo at 23.9% compared to 6.5% in Mountain view.
- Binge drinking is more common in Buffalo at 17.1% compared to 14.9% in Mountain view.
- Obesity rates are higher in Buffalo at 41.7% compared to 19.1% in Mountain view.
- Disability percentages are higher in Buffalo at 17.0% 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 | Buffalo | Mountain view |
|---|---|---|
| No Schooling | 1.7% (4,584) | 1.0% (826) |
| High School Diploma | 13.9% (38,389) | 4.9% (3,963) |
| Less than High School | 13.4% (37,069) | 7.1% (5,739) |
| Bachelor's Degree and Higher | 19.9% (54,917) | 54.5% (44,174) |
Education Levels Comparison: Buffalo vs Mountain view
- A higher percentage of residents in Buffalo have no formal schooling at 1.7% compared to 1.0% in Mountain view.
- A higher percentage of residents in Buffalo hold a high school diploma at 13.9% compared to 4.9% in Mountain view.
- More residents in Buffalo have less than a high school education at 13.4% compared to 7.1% in Mountain view.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 19.9% in Buffalo.
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.