Demographics details for Willingboro, NJ vs Goleta, CA
Population Overview
Compare main population characteristics in Willingboro, NJ vs Goleta, CA.
| Data | Willingboro | Goleta |
|---|---|---|
| Population | 31,846 | 32,432 |
| Median Age | 38.8 years | 35.0 years |
| Median Income | $88,516 | $113,889 |
| Married Families | 34.0% | 37.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 5.1 | 3.2 |
Population Comparison: Willingboro vs Goleta
- The population in Goleta is higher at 32,432, compared to 31,846 in Willingboro.
- Residents in Willingboro have a higher median age of 38.8 years compared to 35.0 years in Goleta.
- Goleta has a higher median income of $113,889, compared to $88,516 in Willingboro.
- In Goleta, the percentage of married families is higher at 37.0%, compared to 34.0% in Willingboro.
- The poverty level is identical in both Willingboro and Goleta at 8%.
- The unemployment rate in Willingboro is higher at 5.1%, compared to 3.2% in Goleta.
Demographics
Demographics Willingboro vs Goleta provide insight into the diversity of the communities to compare.
| Demographic | Willingboro | Goleta |
|---|---|---|
| Black | 66 | 3 |
| White | 4 | 34 |
| Asian | 1 | 11 |
| Hispanic | 15 | 37 |
| Two or More Races | 13 | 14 |
| American Indian | 1 | 1 |
Demographics Comparison: Willingboro vs Goleta
- A higher percentage of Black residents are in Willingboro at 66% compared to 3% in Goleta.
- The percentage of White residents is higher in Goleta at 34% compared to 4% in Willingboro.
- In Goleta, the Asian population stands at 11%, greater than 1% in Willingboro.
- Goleta has a higher percentage of Hispanic residents at 37%, compared to 15% in Willingboro.
- The percentage of residents identifying as two or more races is higher in Goleta at 14%, compared to 13% in Willingboro.
- The percentage of American Indian residents is the same in both Willingboro and Goleta at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willingboro | Goleta |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.9% |
| Physical Health Not Good | Data is updating% | 9.2% |
| Depression | Data is updating% | 18.1% |
| Smoking | Data is updating% | 9.8% |
| Binge Drinking | Data is updating% | 17.0% |
| Obesity | Data is updating% | 26.7% |
| Disability Percentage | 16.0% | 8.0% |
Health Statistics Comparison: Willingboro vs Goleta
- In Goleta, a higher percentage report poor mental health at 13.9% compared to 0.0% in Willingboro.
- Higher depression rates are seen in Goleta at 18.1% versus 0.0% in Willingboro.
- Goleta has a higher smoking rate at 9.8% compared to 0.0% in Willingboro.
- More residents engage in binge drinking in Goleta at 17.0% compared to 0.0% in Willingboro.
- Goleta has higher obesity rates at 26.7% compared to 0.0% in Willingboro.
- Disability percentages are higher in Willingboro 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 | Willingboro | Goleta |
|---|---|---|
| No Schooling | 0.5% (160) | 2.6% (836) |
| High School Diploma | 20.7% (6,594) | 7.0% (2,263) |
| Less than High School | 6.6% (2,094) | 15.7% (5,090) |
| Bachelor's Degree and Higher | 18.4% (5,856) | 32.6% (10,582) |
Education Levels Comparison: Willingboro vs Goleta
- In Goleta, a larger percentage of residents lack formal schooling at 2.6% compared to 0.5% in Willingboro.
- A higher percentage of residents in Willingboro hold a high school diploma at 20.7% 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 6.6% in Willingboro.
- In Goleta, a larger share of residents have a bachelor's degree or higher at 32.6% compared to 18.4% in Willingboro.
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.