Demographics details for Willingboro, NJ vs Shabbona, IL
Population Overview
Compare main population characteristics in Willingboro, NJ vs Shabbona, IL.
| Data | Willingboro | Shabbona |
|---|---|---|
| Population | 31,846 | 850 |
| Median Age | 38.8 years | 53.7 years |
| Median Income | $88,516 | $60,625 |
| Married Families | 34.0% | 34.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 5.1 | 5.1 |
Population Comparison: Willingboro vs Shabbona
- In Willingboro, the population is higher at 31,846, compared to 850 in Shabbona.
- The median age in Shabbona is higher at 53.7 years, compared to 38.8 years in Willingboro.
- Willingboro has a higher median income of $88,516 compared to $60,625 in Shabbona.
- The percentage of married families is the same in both Willingboro and Shabbona at 34.0%.
- The poverty level is identical in both Willingboro and Shabbona at 8%.
- The unemployment rate is the same in both Willingboro and Shabbona at 5.1%.
Demographics
Demographics Willingboro vs Shabbona provide insight into the diversity of the communities to compare.
| Demographic | Willingboro | Shabbona |
|---|---|---|
| Black | 66 | 1 |
| White | 4 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 15 | 3 |
| Two or More Races | 13 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Willingboro vs Shabbona
- A higher percentage of Black residents are in Willingboro at 66% compared to 1% in Shabbona.
- The percentage of White residents is higher in Shabbona at 94% compared to 4% in Willingboro.
- The Asian population is larger in Willingboro at 1% compared to 0% in Shabbona.
- The Hispanic community is larger in Willingboro at 15% compared to 3% in Shabbona.
- More residents identify as two or more races in Willingboro at 13% compared to 2% in Shabbona.
- A greater percentage of American Indian residents live in Willingboro at 1% compared to 0% in Shabbona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willingboro | Shabbona |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.2% |
| Physical Health Not Good | Data is updating% | 10.5% |
| Depression | Data is updating% | 22.1% |
| Smoking | Data is updating% | 16.5% |
| Binge Drinking | Data is updating% | 18.8% |
| Obesity | Data is updating% | 36.3% |
| Disability Percentage | 16.0% | 24.0% |
Health Statistics Comparison: Willingboro vs Shabbona
- In Shabbona, a higher percentage report poor mental health at 16.2% compared to 0.0% in Willingboro.
- Higher depression rates are seen in Shabbona at 22.1% versus 0.0% in Willingboro.
- Shabbona has a higher smoking rate at 16.5% compared to 0.0% in Willingboro.
- More residents engage in binge drinking in Shabbona at 18.8% compared to 0.0% in Willingboro.
- Shabbona has higher obesity rates at 36.3% compared to 0.0% in Willingboro.
- There is a higher percentage of disabled individuals in Shabbona at 24.0% compared to 16.0% in Willingboro.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Willingboro | Shabbona |
|---|---|---|
| No Schooling | 0.5% (160) | 0.0% (Data is updating) |
| High School Diploma | 20.7% (6,594) | 22.1% (188) |
| Less than High School | 6.6% (2,094) | 7.6% (65) |
| Bachelor's Degree and Higher | 18.4% (5,856) | 12.2% (104) |
Education Levels Comparison: Willingboro vs Shabbona
- A higher percentage of residents in Willingboro have no formal schooling at 0.5% compared to 0.0% in Shabbona.
- In Shabbona, the rate of residents with high school diplomas is higher at 22.1% compared to 20.7% in Willingboro.
- The percentage of residents with less than a high school education is higher in Shabbona at 7.6%, compared to 6.6% in Willingboro.
- A higher percentage of residents in Willingboro hold a bachelor's degree or higher at 18.4% compared to 12.2% in Shabbona.
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.