Demographics details for Woodbine, NJ vs Sunnyside, WA
Population Overview
Compare main population characteristics in Woodbine, NJ vs Sunnyside, WA.
| Data | Woodbine | Sunnyside |
|---|---|---|
| Population | 2,142 | 16,296 |
| Median Age | 46.8 years | 27.1 years |
| Median Income | $41,167 | $49,134 |
| Married Families | 29.0% | 31.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 4.5 | 5.3 |
Population Comparison: Woodbine vs Sunnyside
- The population in Sunnyside is higher at 16,296, compared to 2,142 in Woodbine.
- Residents in Woodbine have a higher median age of 46.8 years compared to 27.1 years in Sunnyside.
- Sunnyside has a higher median income of $49,134, compared to $41,167 in Woodbine.
- In Sunnyside, the percentage of married families is higher at 31.0%, compared to 29.0% in Woodbine.
- The poverty level is higher in Sunnyside at 18%, compared to 8% in Woodbine.
- Sunnyside has a higher unemployment rate at 5.3% compared to 4.5% in Woodbine.
Demographics
Demographics Woodbine vs Sunnyside provide insight into the diversity of the communities to compare.
| Demographic | Woodbine | Sunnyside |
|---|---|---|
| Black | 23 | Data is updating |
| White | 27 | -10 |
| Asian | Data is updating | 1 |
| Hispanic | 30 | 86 |
| Two or More Races | 20 | 22 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Woodbine vs Sunnyside
- A higher percentage of Black residents are in Woodbine at 23% compared to 0% in Sunnyside.
- Woodbine has a higher percentage of White residents at 27% compared to -10% in Sunnyside.
- In Sunnyside, the Asian population stands at 1%, greater than 0% in Woodbine.
- Sunnyside has a higher percentage of Hispanic residents at 86%, compared to 30% in Woodbine.
- The percentage of residents identifying as two or more races is higher in Sunnyside at 22%, compared to 20% in Woodbine.
- In Sunnyside, the percentage of American Indian residents is higher at 1%, compared to 0% in Woodbine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodbine | Sunnyside |
|---|---|---|
| Mental Health Not Good | 20.4% | 19.4% |
| Physical Health Not Good | 17.4% | 18.4% |
| Depression | 24.0% | 22.8% |
| Smoking | 27.6% | 19.2% |
| Binge Drinking | 16.0% | 13.4% |
| Obesity | 41.6% | 44.5% |
| Disability Percentage | 37.0% | 11.0% |
Health Statistics Comparison: Woodbine vs Sunnyside
- More residents in Woodbine report poor mental health at 20.4% compared to 19.4% in Sunnyside.
- Depression is more prevalent in Woodbine at 24.0% compared to 22.8% in Sunnyside.
- Smoking is more prevalent in Woodbine at 27.6% compared to 19.2% in Sunnyside.
- Binge drinking is more common in Woodbine at 16.0% compared to 13.4% in Sunnyside.
- Sunnyside has higher obesity rates at 44.5% compared to 41.6% in Woodbine.
- Disability percentages are higher in Woodbine at 37.0% compared to 11.0% in Sunnyside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodbine | Sunnyside |
|---|---|---|
| No Schooling | 13.4% (288) | 3.3% (530) |
| High School Diploma | 24.9% (534) | 12.2% (1,985) |
| Less than High School | 44.6% (956) | 49.1% (8,000) |
| Bachelor's Degree and Higher | 5.3% (113) | 4.4% (710) |
Education Levels Comparison: Woodbine vs Sunnyside
- A higher percentage of residents in Woodbine have no formal schooling at 13.4% compared to 3.3% in Sunnyside.
- A higher percentage of residents in Woodbine hold a high school diploma at 24.9% compared to 12.2% in Sunnyside.
- The percentage of residents with less than a high school education is higher in Sunnyside at 49.1%, compared to 44.6% in Woodbine.
- A higher percentage of residents in Woodbine hold a bachelor's degree or higher at 5.3% compared to 4.4% in Sunnyside.
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.