Demographics details for Union city, PA vs Paterson, NJ
Population Overview
Compare main population characteristics in Union city, PA vs Paterson, NJ.
| Data | Union city | Paterson |
|---|---|---|
| Population | 2,887 | 156,661 |
| Median Age | 46.6 years | 33.1 years |
| Median Income | $41,764 | $52,092 |
| Married Families | 40.0% | 27.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 5.2 | 8.8 |
Population Comparison: Union city vs Paterson
- The population in Paterson is higher at 156,661, compared to 2,887 in Union city.
- Residents in Union city have a higher median age of 46.6 years compared to 33.1 years in Paterson.
- Paterson has a higher median income of $52,092, compared to $41,764 in Union city.
- A higher percentage of married families is found in Union city at 40.0% compared to 27.0% in Paterson.
- The poverty level is higher in Paterson at 18%, compared to 12% in Union city.
- Paterson has a higher unemployment rate at 8.8% compared to 5.2% in Union city.
Demographics
Demographics Union city vs Paterson provide insight into the diversity of the communities to compare.
| Demographic | Union city | Paterson |
|---|---|---|
| Black | Data is updating | 25 |
| White | 91 | Data is updating |
| Asian | Data is updating | 5 |
| Hispanic | 4 | 64 |
| Two or More Races | 5 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Union city vs Paterson
- In Paterson, the percentage of Black residents is higher at 25% compared to 0% in Union city.
- Union city has a higher percentage of White residents at 91% compared to 0% in Paterson.
- In Paterson, the Asian population stands at 5%, greater than 0% in Union city.
- Paterson has a higher percentage of Hispanic residents at 64%, compared to 4% in Union city.
- The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 5% in Union city.
- The percentage of American Indian residents is the same in both Union city and Paterson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Union city | Paterson |
|---|---|---|
| Mental Health Not Good | 19.6% | 17.5% |
| Physical Health Not Good | 14.5% | 15.1% |
| Depression | 24.6% | 16.5% |
| Smoking | 25.3% | 17.7% |
| Binge Drinking | 17.8% | 13.9% |
| Obesity | 39.2% | 38.0% |
| Disability Percentage | 21.0% | 7.0% |
Health Statistics Comparison: Union city vs Paterson
- More residents in Union city report poor mental health at 19.6% compared to 17.5% in Paterson.
- Depression is more prevalent in Union city at 24.6% compared to 16.5% in Paterson.
- Smoking is more prevalent in Union city at 25.3% compared to 17.7% in Paterson.
- Binge drinking is more common in Union city at 17.8% compared to 13.9% in Paterson.
- Obesity rates are higher in Union city at 39.2% compared to 38.0% in Paterson.
- Disability percentages are higher in Union city at 21.0% 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 | Union city | Paterson |
|---|---|---|
| No Schooling | 0.3% (9) | 2.1% (3,278) |
| High School Diploma | 42.5% (1,226) | 25.1% (39,354) |
| Less than High School | 16.5% (476) | 26.1% (40,961) |
| Bachelor's Degree and Higher | 8.2% (237) | 7.9% (12,450) |
Education Levels Comparison: Union city vs Paterson
- In Paterson, a larger percentage of residents lack formal schooling at 2.1% compared to 0.3% in Union city.
- A higher percentage of residents in Union city hold a high school diploma at 42.5% compared to 25.1% in Paterson.
- The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 16.5% in Union city.
- A higher percentage of residents in Union city hold a bachelor's degree or higher at 8.2% 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.