Demographics details for Goleta, CA vs Rudolph, WI
Population Overview
Compare main population characteristics in Goleta, CA vs Rudolph, WI.
| Data | Goleta | Rudolph |
|---|---|---|
| Population | 32,432 | 439 |
| Median Age | 35.0 years | 38.0 years |
| Median Income | $113,889 | $65,000 |
| Married Families | 37.0% | 60.0% |
| Poverty Level | 8% | 6% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Goleta vs Rudolph
- In Goleta, the population is higher at 32,432, compared to 439 in Rudolph.
- The median age in Rudolph is higher at 38.0 years, compared to 35.0 years in Goleta.
- Goleta has a higher median income of $113,889 compared to $65,000 in Rudolph.
- In Rudolph, the percentage of married families is higher at 60.0%, compared to 37.0% in Goleta.
- Goleta has a higher poverty level at 8% compared to 6% in Rudolph.
- Rudolph has a higher unemployment rate at 3.5% compared to 3.2% in Goleta.
Demographics
Demographics Goleta vs Rudolph provide insight into the diversity of the communities to compare.
| Demographic | Goleta | Rudolph |
|---|---|---|
| Black | 3 | Data is updating |
| White | 34 | 100 |
| 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 Rudolph
- A higher percentage of Black residents are in Goleta at 3% compared to 0% in Rudolph.
- The percentage of White residents is higher in Rudolph at 100% compared to 34% in Goleta.
- The Asian population is larger in Goleta at 11% compared to 0% in Rudolph.
- The Hispanic community is larger in Goleta at 37% compared to 0% in Rudolph.
- More residents identify as two or more races in Goleta at 14% compared to 0% in Rudolph.
- A greater percentage of American Indian residents live in Goleta at 1% compared to 0% in Rudolph.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Goleta | Rudolph |
|---|---|---|
| Mental Health Not Good | 13.9% | Data is updating% |
| Physical Health Not Good | 9.2% | Data is updating% |
| Depression | 18.1% | Data is updating% |
| Smoking | 9.8% | Data is updating% |
| Binge Drinking | 17.0% | Data is updating% |
| Obesity | 26.7% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Goleta vs Rudolph
- More residents in Goleta report poor mental health at 13.9% compared to 0.0% in Rudolph.
- Depression is more prevalent in Goleta at 18.1% compared to 0.0% in Rudolph.
- Smoking is more prevalent in Goleta at 9.8% compared to 0.0% in Rudolph.
- Binge drinking is more common in Goleta at 17.0% compared to 0.0% in Rudolph.
- Obesity rates are higher in Goleta at 26.7% compared to 0.0% in Rudolph.
- Disability percentages are higher in Goleta at 8.0% compared to 0.0% in Rudolph.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Goleta | Rudolph |
|---|---|---|
| No Schooling | 2.6% (836) | 0.0% (Data is updating) |
| High School Diploma | 7.0% (2,263) | 0.0% (Data is updating) |
| Less than High School | 15.7% (5,090) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 32.6% (10,582) | 0.0% (Data is updating) |
Education Levels Comparison: Goleta vs Rudolph
- A higher percentage of residents in Goleta have no formal schooling at 2.6% compared to 0.0% in Rudolph.
- A higher percentage of residents in Goleta hold a high school diploma at 7.0% compared to 0.0% in Rudolph.
- More residents in Goleta have less than a high school education at 15.7% compared to 0.0% in Rudolph.
- A higher percentage of residents in Goleta hold a bachelor's degree or higher at 32.6% compared to 0.0% in Rudolph.
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.