Demographics details for Green bay, WI vs South river, NJ
Population Overview
Compare main population characteristics in Green bay, WI vs South river, NJ.
| Data | Green bay | South river |
|---|---|---|
| Population | 106,095 | 15,990 |
| Median Age | 35.6 years | 37.1 years |
| Median Income | $59,174 | $95,981 |
| Married Families | 34.0% | 39.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Green bay vs South river
- In Green bay, the population is higher at 106,095, compared to 15,990 in South river.
- The median age in South river is higher at 37.1 years, compared to 35.6 years in Green bay.
- South river has a higher median income of $95,981, compared to $59,174 in Green bay.
- In South river, the percentage of married families is higher at 39.0%, compared to 34.0% in Green bay.
- Green bay has a higher poverty level at 10% compared to 8% in South river.
- South river has a higher unemployment rate at 4.2% compared to 3.2% in Green bay.
Demographics
Demographics Green bay vs South river provide insight into the diversity of the communities to compare.
| Demographic | Green bay | South river |
|---|---|---|
| Black | 4 | 7 |
| White | 61 | 50 |
| Asian | 4 | 5 |
| Hispanic | 17 | 30 |
| Two or More Races | 11 | 7 |
| American Indian | 3 | 1 |
Demographics Comparison: Green bay vs South river
- In South river, the percentage of Black residents is higher at 7% compared to 4% in Green bay.
- Green bay has a higher percentage of White residents at 61% compared to 50% in South river.
- In South river, the Asian population stands at 5%, greater than 4% in Green bay.
- South river has a higher percentage of Hispanic residents at 30%, compared to 17% in Green bay.
- More residents identify as two or more races in Green bay at 11% compared to 7% in South river.
- A greater percentage of American Indian residents live in Green bay at 3% compared to 1% in South river.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green bay | South river |
|---|---|---|
| Mental Health Not Good | 15.3% | 16.0% |
| Physical Health Not Good | 11.0% | 10.4% |
| Depression | 22.1% | 21.0% |
| Smoking | 16.8% | 14.6% |
| Binge Drinking | 22.8% | 16.0% |
| Obesity | 38.0% | 31.6% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Green bay vs South river
- In South river, a higher percentage report poor mental health at 16.0% compared to 15.3% in Green bay.
- Depression is more prevalent in Green bay at 22.1% compared to 21.0% in South river.
- Smoking is more prevalent in Green bay at 16.8% compared to 14.6% in South river.
- Binge drinking is more common in Green bay at 22.8% compared to 16.0% in South river.
- Obesity rates are higher in Green bay at 38.0% compared to 31.6% in South river.
- Disability percentages are higher in Green bay at 14.0% compared to 11.0% in South river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green bay | South river |
|---|---|---|
| No Schooling | 1.7% (1,796) | 2.5% (394) |
| High School Diploma | 18.1% (19,183) | 18.7% (2,985) |
| Less than High School | 14.0% (14,805) | 20.6% (3,292) |
| Bachelor's Degree and Higher | 16.6% (17,606) | 18.9% (3,025) |
Education Levels Comparison: Green bay vs South river
- In South river, a larger percentage of residents lack formal schooling at 2.5% compared to 1.7% in Green bay.
- In South river, the rate of residents with high school diplomas is higher at 18.7% compared to 18.1% in Green bay.
- The percentage of residents with less than a high school education is higher in South river at 20.6%, compared to 14.0% in Green bay.
- In South river, a larger share of residents have a bachelor's degree or higher at 18.9% compared to 16.6% in Green bay.
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.