Demographics details for Goleta, CA vs Sylvan beach, NY
Population Overview
Compare main population characteristics in Goleta, CA vs Sylvan beach, NY.
| Data | Goleta | Sylvan beach |
|---|---|---|
| Population | 32,432 | 885 |
| Median Age | 35.0 years | 50.1 years |
| Median Income | $113,889 | $48,125 |
| Married Families | 37.0% | 32.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Goleta vs Sylvan beach
- In Goleta, the population is higher at 32,432, compared to 885 in Sylvan beach.
- The median age in Sylvan beach is higher at 50.1 years, compared to 35.0 years in Goleta.
- Goleta has a higher median income of $113,889 compared to $48,125 in Sylvan beach.
- A higher percentage of married families is found in Goleta at 37.0% compared to 32.0% in Sylvan beach.
- The poverty level is higher in Sylvan beach at 10%, compared to 8% in Goleta.
- Sylvan beach has a higher unemployment rate at 4.5% compared to 3.2% in Goleta.
Demographics
Demographics Goleta vs Sylvan beach provide insight into the diversity of the communities to compare.
| Demographic | Goleta | Sylvan beach |
|---|---|---|
| Black | 3 | Data is updating |
| White | 34 | 94 |
| Asian | 11 | 1 |
| Hispanic | 37 | 1 |
| Two or More Races | 14 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Goleta vs Sylvan beach
- A higher percentage of Black residents are in Goleta at 3% compared to 0% in Sylvan beach.
- The percentage of White residents is higher in Sylvan beach at 94% compared to 34% in Goleta.
- The Asian population is larger in Goleta at 11% compared to 1% in Sylvan beach.
- The Hispanic community is larger in Goleta at 37% compared to 1% in Sylvan beach.
- More residents identify as two or more races in Goleta at 14% compared to 3% in Sylvan beach.
- The percentage of American Indian residents is the same in both Goleta and Sylvan beach at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Goleta | Sylvan beach |
|---|---|---|
| Mental Health Not Good | 13.9% | 17.8% |
| Physical Health Not Good | 9.2% | 11.8% |
| Depression | 18.1% | 26.8% |
| Smoking | 9.8% | 24.0% |
| Binge Drinking | 17.0% | 19.7% |
| Obesity | 26.7% | 36.2% |
| Disability Percentage | 8.0% | 20.0% |
Health Statistics Comparison: Goleta vs Sylvan beach
- In Sylvan beach, a higher percentage report poor mental health at 17.8% compared to 13.9% in Goleta.
- Higher depression rates are seen in Sylvan beach at 26.8% versus 18.1% in Goleta.
- Sylvan beach has a higher smoking rate at 24.0% compared to 9.8% in Goleta.
- More residents engage in binge drinking in Sylvan beach at 19.7% compared to 17.0% in Goleta.
- Sylvan beach has higher obesity rates at 36.2% compared to 26.7% in Goleta.
- There is a higher percentage of disabled individuals in Sylvan beach at 20.0% compared to 8.0% in Goleta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Goleta | Sylvan beach |
|---|---|---|
| No Schooling | 2.6% (836) | 0.0% (Data is updating) |
| High School Diploma | 7.0% (2,263) | 28.5% (252) |
| Less than High School | 15.7% (5,090) | 14.5% (128) |
| Bachelor's Degree and Higher | 32.6% (10,582) | 15.6% (138) |
Education Levels Comparison: Goleta vs Sylvan beach
- A higher percentage of residents in Goleta have no formal schooling at 2.6% compared to 0.0% in Sylvan beach.
- In Sylvan beach, the rate of residents with high school diplomas is higher at 28.5% compared to 7.0% in Goleta.
- More residents in Goleta have less than a high school education at 15.7% compared to 14.5% in Sylvan beach.
- A higher percentage of residents in Goleta hold a bachelor's degree or higher at 32.6% compared to 15.6% in Sylvan beach.
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.