Demographics details for Santa barbara, CA vs Vass, NC
Population Overview
Compare main population characteristics in Santa barbara, CA vs Vass, NC.
| Data | Santa barbara | Vass |
|---|---|---|
| Population | 87,533 | 1,002 |
| Median Age | 39.6 years | 29.0 years |
| Median Income | $98,346 | $59,375 |
| Married Families | 36.0% | 46.0% |
| Poverty Level | 14% | 11% |
| Unemployment Rate | 3.4 | 3.2 |
Population Comparison: Santa barbara vs Vass
- In Santa barbara, the population is higher at 87,533, compared to 1,002 in Vass.
- Residents in Santa barbara have a higher median age of 39.6 years compared to 29.0 years in Vass.
- Santa barbara has a higher median income of $98,346 compared to $59,375 in Vass.
- In Vass, the percentage of married families is higher at 46.0%, compared to 36.0% in Santa barbara.
- Santa barbara has a higher poverty level at 14% compared to 11% in Vass.
- The unemployment rate in Santa barbara is higher at 3.4%, compared to 3.2% in Vass.
Demographics
Demographics Santa barbara vs Vass provide insight into the diversity of the communities to compare.
| Demographic | Santa barbara | Vass |
|---|---|---|
| Black | 1 | 33 |
| White | 44 | 30 |
| Asian | 4 | 1 |
| Hispanic | 37 | 6 |
| Two or More Races | 13 | 30 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Santa barbara vs Vass
- In Vass, the percentage of Black residents is higher at 33% compared to 1% in Santa barbara.
- Santa barbara has a higher percentage of White residents at 44% compared to 30% in Vass.
- The Asian population is larger in Santa barbara at 4% compared to 1% in Vass.
- The Hispanic community is larger in Santa barbara at 37% compared to 6% in Vass.
- The percentage of residents identifying as two or more races is higher in Vass at 30%, compared to 13% in Santa barbara.
- A greater percentage of American Indian residents live in Santa barbara at 1% compared to 0% in Vass.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa barbara | Vass |
|---|---|---|
| Mental Health Not Good | 14.8% | 15.1% |
| Physical Health Not Good | 10.1% | 10.2% |
| Depression | 19.2% | 23.5% |
| Smoking | 10.8% | 14.6% |
| Binge Drinking | 16.9% | 19.2% |
| Obesity | 28.5% | 33.1% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Santa barbara vs Vass
- In Vass, a higher percentage report poor mental health at 15.1% compared to 14.8% in Santa barbara.
- Higher depression rates are seen in Vass at 23.5% versus 19.2% in Santa barbara.
- Vass has a higher smoking rate at 14.6% compared to 10.8% in Santa barbara.
- More residents engage in binge drinking in Vass at 19.2% compared to 16.9% in Santa barbara.
- Vass has higher obesity rates at 33.1% compared to 28.5% in Santa barbara.
- There is a higher percentage of disabled individuals in Vass at 11.0% compared to 10.0% in Santa barbara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa barbara | Vass |
|---|---|---|
| No Schooling | 1.5% (1,334) | 0.9% (9) |
| High School Diploma | 7.5% (6,587) | 8.6% (86) |
| Less than High School | 16.0% (13,982) | 11.5% (115) |
| Bachelor's Degree and Higher | 36.6% (32,079) | 16.2% (162) |
Education Levels Comparison: Santa barbara vs Vass
- A higher percentage of residents in Santa barbara have no formal schooling at 1.5% compared to 0.9% in Vass.
- In Vass, the rate of residents with high school diplomas is higher at 8.6% compared to 7.5% in Santa barbara.
- More residents in Santa barbara have less than a high school education at 16.0% compared to 11.5% in Vass.
- A higher percentage of residents in Santa barbara hold a bachelor's degree or higher at 36.6% compared to 16.2% in Vass.
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.