Demographics details for Bergenfield, NJ vs Canton, GA
Population Overview
Compare main population characteristics in Bergenfield, NJ vs Canton, GA.
| Data | Bergenfield | Canton |
|---|---|---|
| Population | 28,163 | 35,809 |
| Median Age | 40.5 years | 34.6 years |
| Median Income | $121,738 | $75,414 |
| Married Families | 44.0% | 39.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.8 | 3.2 |
Population Comparison: Bergenfield vs Canton
- The population in Canton is higher at 35,809, compared to 28,163 in Bergenfield.
- Residents in Bergenfield have a higher median age of 40.5 years compared to 34.6 years in Canton.
- Bergenfield has a higher median income of $121,738 compared to $75,414 in Canton.
- A higher percentage of married families is found in Bergenfield at 44.0% compared to 39.0% in Canton.
- The poverty level is higher in Canton at 9%, compared to 5% in Bergenfield.
- The unemployment rate in Bergenfield is higher at 3.8%, compared to 3.2% in Canton.
Demographics
Demographics Bergenfield vs Canton provide insight into the diversity of the communities to compare.
| Demographic | Bergenfield | Canton |
|---|---|---|
| Black | 9 | 12 |
| White | 25 | 55 |
| Asian | 27 | 1 |
| Hispanic | 29 | 21 |
| Two or More Races | 9 | 8 |
| American Indian | 1 | 3 |
Demographics Comparison: Bergenfield vs Canton
- In Canton, the percentage of Black residents is higher at 12% compared to 9% in Bergenfield.
- The percentage of White residents is higher in Canton at 55% compared to 25% in Bergenfield.
- The Asian population is larger in Bergenfield at 27% compared to 1% in Canton.
- The Hispanic community is larger in Bergenfield at 29% compared to 21% in Canton.
- More residents identify as two or more races in Bergenfield at 9% compared to 8% in Canton.
- In Canton, the percentage of American Indian residents is higher at 3%, compared to 1% in Bergenfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bergenfield | Canton |
|---|---|---|
| Mental Health Not Good | 12.8% | 15.8% |
| Physical Health Not Good | 8.2% | 11.9% |
| Depression | 14.9% | 21.8% |
| Smoking | 11.1% | 16.0% |
| Binge Drinking | 15.7% | 15.8% |
| Obesity | 24.9% | 33.4% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Bergenfield vs Canton
- In Canton, a higher percentage report poor mental health at 15.8% compared to 12.8% in Bergenfield.
- Higher depression rates are seen in Canton at 21.8% versus 14.9% in Bergenfield.
- Canton has a higher smoking rate at 16.0% compared to 11.1% in Bergenfield.
- More residents engage in binge drinking in Canton at 15.8% compared to 15.7% in Bergenfield.
- Canton has higher obesity rates at 33.4% compared to 24.9% in Bergenfield.
- There is a higher percentage of disabled individuals in Canton at 10.0% compared to 9.0% in Bergenfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bergenfield | Canton |
|---|---|---|
| No Schooling | 1.0% (295) | 3.5% (1,250) |
| High School Diploma | 16.4% (4,611) | 10.1% (3,609) |
| Less than High School | 9.4% (2,661) | 18.0% (6,437) |
| Bachelor's Degree and Higher | 31.4% (8,837) | 19.7% (7,056) |
Education Levels Comparison: Bergenfield vs Canton
- In Canton, a larger percentage of residents lack formal schooling at 3.5% compared to 1.0% in Bergenfield.
- A higher percentage of residents in Bergenfield hold a high school diploma at 16.4% compared to 10.1% in Canton.
- The percentage of residents with less than a high school education is higher in Canton at 18.0%, compared to 9.4% in Bergenfield.
- A higher percentage of residents in Bergenfield hold a bachelor's degree or higher at 31.4% compared to 19.7% in Canton.
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.