Demographics details for Willingboro, NJ vs Shawano, WI
Population Overview
Compare main population characteristics in Willingboro, NJ vs Shawano, WI.
| Data | Willingboro | Shawano |
|---|---|---|
| Population | 31,846 | 40,886 |
| Median Age | 38.8 years | 45.4 years |
| Median Income | $88,516 | $65,493 |
| Married Families | 34.0% | 45.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 5.1 | 3.1 |
Population Comparison: Willingboro vs Shawano
- The population in Shawano is higher at 40,886, compared to 31,846 in Willingboro.
- The median age in Shawano is higher at 45.4 years, compared to 38.8 years in Willingboro.
- Willingboro has a higher median income of $88,516 compared to $65,493 in Shawano.
- In Shawano, the percentage of married families is higher at 45.0%, compared to 34.0% in Willingboro.
- The poverty level is higher in Shawano at 9%, compared to 8% in Willingboro.
- The unemployment rate in Willingboro is higher at 5.1%, compared to 3.1% in Shawano.
Demographics
Demographics Willingboro vs Shawano provide insight into the diversity of the communities to compare.
| Demographic | Willingboro | Shawano |
|---|---|---|
| Black | 66 | 1 |
| White | 4 | 83 |
| Asian | 1 | 1 |
| Hispanic | 15 | 3 |
| Two or More Races | 13 | 5 |
| American Indian | 1 | 7 |
Demographics Comparison: Willingboro vs Shawano
- A higher percentage of Black residents are in Willingboro at 66% compared to 1% in Shawano.
- The percentage of White residents is higher in Shawano at 83% compared to 4% in Willingboro.
- Both Willingboro and Shawano have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Willingboro at 15% compared to 3% in Shawano.
- More residents identify as two or more races in Willingboro at 13% compared to 5% in Shawano.
- In Shawano, the percentage of American Indian residents is higher at 7%, compared to 1% in Willingboro.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willingboro | Shawano |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.2% |
| Physical Health Not Good | Data is updating% | 10.8% |
| Depression | Data is updating% | 24.2% |
| Smoking | Data is updating% | 19.0% |
| Binge Drinking | Data is updating% | 23.8% |
| Obesity | Data is updating% | 36.3% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Willingboro vs Shawano
- In Shawano, a higher percentage report poor mental health at 16.2% compared to 0.0% in Willingboro.
- Higher depression rates are seen in Shawano at 24.2% versus 0.0% in Willingboro.
- Shawano has a higher smoking rate at 19.0% compared to 0.0% in Willingboro.
- More residents engage in binge drinking in Shawano at 23.8% compared to 0.0% in Willingboro.
- Shawano has higher obesity rates at 36.3% compared to 0.0% in Willingboro.
- Disability percentages are higher in Willingboro at 16.0% compared to 14.0% in Shawano.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Willingboro | Shawano |
|---|---|---|
| No Schooling | 0.5% (160) | 0.4% (178) |
| High School Diploma | 20.7% (6,594) | 28.1% (11,475) |
| Less than High School | 6.6% (2,094) | 10.6% (4,343) |
| Bachelor's Degree and Higher | 18.4% (5,856) | 13.0% (5,324) |
Education Levels Comparison: Willingboro vs Shawano
- A higher percentage of residents in Willingboro have no formal schooling at 0.5% compared to 0.4% in Shawano.
- In Shawano, the rate of residents with high school diplomas is higher at 28.1% compared to 20.7% in Willingboro.
- The percentage of residents with less than a high school education is higher in Shawano at 10.6%, 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 13.0% in Shawano.
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.