Demographics details for Princeton, IL vs Goleta, CA
Population Overview
Compare main population characteristics in Princeton, IL vs Goleta, CA.
| Data | Princeton | Goleta |
|---|---|---|
| Population | 7,721 | 32,432 |
| Median Age | 46.5 years | 35.0 years |
| Median Income | $55,926 | $113,889 |
| Married Families | 39.0% | 37.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 4.0 | 3.2 |
Population Comparison: Princeton vs Goleta
- The population in Goleta is higher at 32,432, compared to 7,721 in Princeton.
- Residents in Princeton have a higher median age of 46.5 years compared to 35.0 years in Goleta.
- Goleta has a higher median income of $113,889, compared to $55,926 in Princeton.
- A higher percentage of married families is found in Princeton at 39.0% compared to 37.0% in Goleta.
- The poverty level is identical in both Princeton and Goleta at 8%.
- The unemployment rate in Princeton is higher at 4.0%, compared to 3.2% in Goleta.
Demographics
Demographics Princeton vs Goleta provide insight into the diversity of the communities to compare.
| Demographic | Princeton | Goleta |
|---|---|---|
| Black | Data is updating | 3 |
| White | 91 | 34 |
| Asian | 1 | 11 |
| Hispanic | 4 | 37 |
| Two or More Races | 4 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Princeton vs Goleta
- In Goleta, the percentage of Black residents is higher at 3% compared to 0% in Princeton.
- Princeton has a higher percentage of White residents at 91% compared to 34% in Goleta.
- In Goleta, the Asian population stands at 11%, greater than 1% in Princeton.
- Goleta has a higher percentage of Hispanic residents at 37%, compared to 4% in Princeton.
- The percentage of residents identifying as two or more races is higher in Goleta at 14%, compared to 4% in Princeton.
- In Goleta, the percentage of American Indian residents is higher at 1%, compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Princeton | Goleta |
|---|---|---|
| Mental Health Not Good | 16.3% | 13.9% |
| Physical Health Not Good | 10.7% | 9.2% |
| Depression | 22.4% | 18.1% |
| Smoking | 16.9% | 9.8% |
| Binge Drinking | 18.1% | 17.0% |
| Obesity | 36.4% | 26.7% |
| Disability Percentage | 16.0% | 8.0% |
Health Statistics Comparison: Princeton vs Goleta
- More residents in Princeton report poor mental health at 16.3% compared to 13.9% in Goleta.
- Depression is more prevalent in Princeton at 22.4% compared to 18.1% in Goleta.
- Smoking is more prevalent in Princeton at 16.9% compared to 9.8% in Goleta.
- Binge drinking is more common in Princeton at 18.1% compared to 17.0% in Goleta.
- Obesity rates are higher in Princeton at 36.4% compared to 26.7% in Goleta.
- Disability percentages are higher in Princeton at 16.0% 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 | Princeton | Goleta |
|---|---|---|
| No Schooling | 0.3% (20) | 2.6% (836) |
| High School Diploma | 20.9% (1,617) | 7.0% (2,263) |
| Less than High School | 11.2% (863) | 15.7% (5,090) |
| Bachelor's Degree and Higher | 20.1% (1,554) | 32.6% (10,582) |
Education Levels Comparison: Princeton vs Goleta
- In Goleta, a larger percentage of residents lack formal schooling at 2.6% compared to 0.3% in Princeton.
- A higher percentage of residents in Princeton hold a high school diploma at 20.9% compared to 7.0% in Goleta.
- The percentage of residents with less than a high school education is higher in Goleta at 15.7%, compared to 11.2% in Princeton.
- In Goleta, a larger share of residents have a bachelor's degree or higher at 32.6% compared to 20.1% in Princeton.
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.