Demographics details for Waverly, NY vs Paramus, NJ
Population Overview
Compare main population characteristics in Waverly, NY vs Paramus, NJ.
| Data | Waverly | Paramus |
|---|---|---|
| Population | 4,308 | 26,359 |
| Median Age | 41.1 years | 49.0 years |
| Median Income | $49,060 | $136,824 |
| Married Families | 35.0% | 47.0% |
| Poverty Level | 11% | 4% |
| Unemployment Rate | 3.6 | 4.3 |
Population Comparison: Waverly vs Paramus
- The population in Paramus is higher at 26,359, compared to 4,308 in Waverly.
- The median age in Paramus is higher at 49.0 years, compared to 41.1 years in Waverly.
- Paramus has a higher median income of $136,824, compared to $49,060 in Waverly.
- In Paramus, the percentage of married families is higher at 47.0%, compared to 35.0% in Waverly.
- Waverly has a higher poverty level at 11% compared to 4% in Paramus.
- Paramus has a higher unemployment rate at 4.3% compared to 3.6% in Waverly.
Demographics
Demographics Waverly vs Paramus provide insight into the diversity of the communities to compare.
| Demographic | Waverly | Paramus |
|---|---|---|
| Black | 3 | 3 |
| White | 88 | 50 |
| Asian | 2 | 24 |
| Hispanic | 3 | 14 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waverly vs Paramus
- The percentage of Black residents is the same in both Waverly and Paramus at 3%.
- Waverly has a higher percentage of White residents at 88% compared to 50% in Paramus.
- In Paramus, the Asian population stands at 24%, greater than 2% in Waverly.
- Paramus has a higher percentage of Hispanic residents at 14%, compared to 3% in Waverly.
- The percentage of residents identifying as two or more races is higher in Paramus at 8%, compared to 4% in Waverly.
- In Paramus, the percentage of American Indian residents is higher at 1%, compared to 0% in Waverly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waverly | Paramus |
|---|---|---|
| Mental Health Not Good | 18.1% | 12.7% |
| Physical Health Not Good | 13.2% | 7.6% |
| Depression | 26.1% | 16.1% |
| Smoking | 23.9% | 10.9% |
| Binge Drinking | 17.3% | 17.0% |
| Obesity | 40.1% | 22.8% |
| Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Waverly vs Paramus
- More residents in Waverly report poor mental health at 18.1% compared to 12.7% in Paramus.
- Depression is more prevalent in Waverly at 26.1% compared to 16.1% in Paramus.
- Smoking is more prevalent in Waverly at 23.9% compared to 10.9% in Paramus.
- Binge drinking is more common in Waverly at 17.3% compared to 17.0% in Paramus.
- Obesity rates are higher in Waverly at 40.1% compared to 22.8% in Paramus.
- Disability percentages are higher in Waverly at 17.0% compared to 9.0% in Paramus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waverly | Paramus |
|---|---|---|
| No Schooling | 0.8% (33) | 0.7% (194) |
| High School Diploma | 23.5% (1,011) | 15.2% (4,006) |
| Less than High School | 14.3% (617) | 6.7% (1,764) |
| Bachelor's Degree and Higher | 9.9% (427) | 37.1% (9,785) |
Education Levels Comparison: Waverly vs Paramus
- A higher percentage of residents in Waverly have no formal schooling at 0.8% compared to 0.7% in Paramus.
- A higher percentage of residents in Waverly hold a high school diploma at 23.5% compared to 15.2% in Paramus.
- More residents in Waverly have less than a high school education at 14.3% compared to 6.7% in Paramus.
- In Paramus, a larger share of residents have a bachelor's degree or higher at 37.1% compared to 9.9% in Waverly.
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.