Demographics details for Santa barbara, CA vs Raven, VA
Population Overview
Compare main population characteristics in Santa barbara, CA vs Raven, VA.
| Data | Santa barbara | Raven |
|---|---|---|
| Population | 87,533 | 2,065 |
| Median Age | 39.6 years | 46.2 years |
| Median Income | $98,346 | $36,613 |
| Married Families | 36.0% | 31.0% |
| Poverty Level | 14% | 15% |
| Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Santa barbara vs Raven
- In Santa barbara, the population is higher at 87,533, compared to 2,065 in Raven.
- The median age in Raven is higher at 46.2 years, compared to 39.6 years in Santa barbara.
- Santa barbara has a higher median income of $98,346 compared to $36,613 in Raven.
- A higher percentage of married families is found in Santa barbara at 36.0% compared to 31.0% in Raven.
- The poverty level is higher in Raven at 15%, compared to 14% in Santa barbara.
- Raven has a higher unemployment rate at 4.5% compared to 3.4% in Santa barbara.
Demographics
Demographics Santa barbara vs Raven provide insight into the diversity of the communities to compare.
| Demographic | Santa barbara | Raven |
|---|---|---|
| Black | 1 | Data is updating |
| White | 44 | 99 |
| Asian | 4 | Data is updating |
| Hispanic | 37 | Data is updating |
| Two or More Races | 13 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Santa barbara vs Raven
- A higher percentage of Black residents are in Santa barbara at 1% compared to 0% in Raven.
- The percentage of White residents is higher in Raven at 99% compared to 44% in Santa barbara.
- The Asian population is larger in Santa barbara at 4% compared to 0% in Raven.
- The Hispanic community is larger in Santa barbara at 37% compared to 0% in Raven.
- More residents identify as two or more races in Santa barbara at 13% compared to 1% in Raven.
- A greater percentage of American Indian residents live in Santa barbara at 1% compared to 0% in Raven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa barbara | Raven |
|---|---|---|
| Mental Health Not Good | 14.8% | 22.5% |
| Physical Health Not Good | 10.1% | 16.7% |
| Depression | 19.2% | 30.4% |
| Smoking | 10.8% | 27.3% |
| Binge Drinking | 16.9% | 16.2% |
| Obesity | 28.5% | 40.3% |
| Disability Percentage | 10.0% | 26.0% |
Health Statistics Comparison: Santa barbara vs Raven
- In Raven, a higher percentage report poor mental health at 22.5% compared to 14.8% in Santa barbara.
- Higher depression rates are seen in Raven at 30.4% versus 19.2% in Santa barbara.
- Raven has a higher smoking rate at 27.3% compared to 10.8% in Santa barbara.
- Binge drinking is more common in Santa barbara at 16.9% compared to 16.2% in Raven.
- Raven has higher obesity rates at 40.3% compared to 28.5% in Santa barbara.
- There is a higher percentage of disabled individuals in Raven at 26.0% 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 | Raven |
|---|---|---|
| No Schooling | 1.5% (1,334) | 0.5% (11) |
| High School Diploma | 7.5% (6,587) | 18.8% (388) |
| Less than High School | 16.0% (13,982) | 22.5% (464) |
| Bachelor's Degree and Higher | 36.6% (32,079) | 10.1% (208) |
Education Levels Comparison: Santa barbara vs Raven
- A higher percentage of residents in Santa barbara have no formal schooling at 1.5% compared to 0.5% in Raven.
- In Raven, the rate of residents with high school diplomas is higher at 18.8% compared to 7.5% in Santa barbara.
- The percentage of residents with less than a high school education is higher in Raven at 22.5%, compared to 16.0% in Santa barbara.
- A higher percentage of residents in Santa barbara hold a bachelor's degree or higher at 36.6% compared to 10.1% in Raven.
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.