Demographics details for Paterson, NJ vs Fishkill, NY
Population Overview
Compare main population characteristics in Paterson, NJ vs Fishkill, NY.
| Data | Paterson | Fishkill |
|---|---|---|
| Population | 156,661 | 2,156 |
| Median Age | 33.1 years | 47.1 years |
| Median Income | $52,092 | $94,205 |
| Married Families | 27.0% | 44.0% |
| Poverty Level | 18% | 5% |
| Unemployment Rate | 8.8 | 3.2 |
Population Comparison: Paterson vs Fishkill
- In Paterson, the population is higher at 156,661, compared to 2,156 in Fishkill.
- The median age in Fishkill is higher at 47.1 years, compared to 33.1 years in Paterson.
- Fishkill has a higher median income of $94,205, compared to $52,092 in Paterson.
- In Fishkill, the percentage of married families is higher at 44.0%, compared to 27.0% in Paterson.
- Paterson has a higher poverty level at 18% compared to 5% in Fishkill.
- The unemployment rate in Paterson is higher at 8.8%, compared to 3.2% in Fishkill.
Demographics
Demographics Paterson vs Fishkill provide insight into the diversity of the communities to compare.
| Demographic | Paterson | Fishkill |
|---|---|---|
| Black | 25 | 7 |
| White | Data is updating | 70 |
| Asian | 5 | 2 |
| Hispanic | 64 | 11 |
| Two or More Races | 17 | 8 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Paterson vs Fishkill
- A higher percentage of Black residents are in Paterson at 25% compared to 7% in Fishkill.
- The percentage of White residents is higher in Fishkill at 70% compared to 0% in Paterson.
- The Asian population is larger in Paterson at 5% compared to 2% in Fishkill.
- The Hispanic community is larger in Paterson at 64% compared to 11% in Fishkill.
- More residents identify as two or more races in Paterson at 17% compared to 8% in Fishkill.
- In Fishkill, the percentage of American Indian residents is higher at 2%, compared to 0% in Paterson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paterson | Fishkill |
|---|---|---|
| Mental Health Not Good | 17.5% | 14.4% |
| Physical Health Not Good | 15.1% | 9.6% |
| Depression | 16.5% | 21.3% |
| Smoking | 17.7% | 15.6% |
| Binge Drinking | 13.9% | 16.5% |
| Obesity | 38.0% | 29.9% |
| Disability Percentage | 7.0% | 15.0% |
Health Statistics Comparison: Paterson vs Fishkill
- More residents in Paterson report poor mental health at 17.5% compared to 14.4% in Fishkill.
- Higher depression rates are seen in Fishkill at 21.3% versus 16.5% in Paterson.
- Smoking is more prevalent in Paterson at 17.7% compared to 15.6% in Fishkill.
- More residents engage in binge drinking in Fishkill at 16.5% compared to 13.9% in Paterson.
- Obesity rates are higher in Paterson at 38.0% compared to 29.9% in Fishkill.
- There is a higher percentage of disabled individuals in Fishkill at 15.0% compared to 7.0% in Paterson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paterson | Fishkill |
|---|---|---|
| No Schooling | 2.1% (3,278) | 0.0% (Data is updating) |
| High School Diploma | 25.1% (39,354) | 16.2% (349) |
| Less than High School | 26.1% (40,961) | 15.4% (331) |
| Bachelor's Degree and Higher | 7.9% (12,450) | 38.2% (824) |
Education Levels Comparison: Paterson vs Fishkill
- A higher percentage of residents in Paterson have no formal schooling at 2.1% compared to 0.0% in Fishkill.
- A higher percentage of residents in Paterson hold a high school diploma at 25.1% compared to 16.2% in Fishkill.
- More residents in Paterson have less than a high school education at 26.1% compared to 15.4% in Fishkill.
- In Fishkill, a larger share of residents have a bachelor's degree or higher at 38.2% compared to 7.9% in Paterson.
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.