Demographics details for Goleta, CA vs State line, MS
Population Overview
Compare main population characteristics in Goleta, CA vs State line, MS.
| Data | Goleta | State line |
|---|---|---|
| Population | 32,432 | 458 |
| Median Age | 35.0 years | 34.0 years |
| Median Income | $113,889 | $38,529 |
| Married Families | 37.0% | 61.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 3.2 | 5.5 |
Population Comparison: Goleta vs State line
- In Goleta, the population is higher at 32,432, compared to 458 in State line.
- Residents in Goleta have a higher median age of 35.0 years compared to 34.0 years in State line.
- Goleta has a higher median income of $113,889 compared to $38,529 in State line.
- In State line, the percentage of married families is higher at 61.0%, compared to 37.0% in Goleta.
- The poverty level is higher in State line at 18%, compared to 8% in Goleta.
- State line has a higher unemployment rate at 5.5% compared to 3.2% in Goleta.
Demographics
Demographics Goleta vs State line provide insight into the diversity of the communities to compare.
| Demographic | Goleta | State line |
|---|---|---|
| Black | 3 | 97 |
| White | 34 | 3 |
| Asian | 11 | Data is updating |
| Hispanic | 37 | Data is updating |
| Two or More Races | 14 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Goleta vs State line
- In State line, the percentage of Black residents is higher at 97% compared to 3% in Goleta.
- Goleta has a higher percentage of White residents at 34% compared to 3% in State line.
- The Asian population is larger in Goleta at 11% compared to 0% in State line.
- The Hispanic community is larger in Goleta at 37% compared to 0% in State line.
- More residents identify as two or more races in Goleta at 14% compared to 0% in State line.
- A greater percentage of American Indian residents live in Goleta at 1% compared to 0% in State line.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Goleta | State line |
|---|---|---|
| Mental Health Not Good | 13.9% | 16.8% |
| Physical Health Not Good | 9.2% | 12.4% |
| Depression | 18.1% | 20.9% |
| Smoking | 9.8% | 20.0% |
| Binge Drinking | 17.0% | 13.5% |
| Obesity | 26.7% | 41.8% |
| Disability Percentage | 8.0% | 32.0% |
Health Statistics Comparison: Goleta vs State line
- In State line, a higher percentage report poor mental health at 16.8% compared to 13.9% in Goleta.
- Higher depression rates are seen in State line at 20.9% versus 18.1% in Goleta.
- State line has a higher smoking rate at 20.0% compared to 9.8% in Goleta.
- Binge drinking is more common in Goleta at 17.0% compared to 13.5% in State line.
- State line has higher obesity rates at 41.8% compared to 26.7% in Goleta.
- There is a higher percentage of disabled individuals in State line at 32.0% 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 | State line |
|---|---|---|
| No Schooling | 2.6% (836) | 0.0% (Data is updating) |
| High School Diploma | 7.0% (2,263) | 55.9% (256) |
| Less than High School | 15.7% (5,090) | 28.8% (132) |
| Bachelor's Degree and Higher | 32.6% (10,582) | 4.1% (19) |
Education Levels Comparison: Goleta vs State line
- A higher percentage of residents in Goleta have no formal schooling at 2.6% compared to 0.0% in State line.
- In State line, the rate of residents with high school diplomas is higher at 55.9% compared to 7.0% in Goleta.
- The percentage of residents with less than a high school education is higher in State line at 28.8%, compared to 15.7% in Goleta.
- A higher percentage of residents in Goleta hold a bachelor's degree or higher at 32.6% compared to 4.1% in State line.
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.