Demographics details for Paterson, NJ vs Union city, TN
Population Overview
Compare main population characteristics in Paterson, NJ vs Union city, TN.
| Data | Paterson | Union city |
|---|---|---|
| Population | 156,661 | 10,985 |
| Median Age | 33.1 years | 37.4 years |
| Median Income | $52,092 | $42,620 |
| Married Families | 27.0% | 35.0% |
| Poverty Level | 18% | 16% |
| Unemployment Rate | 8.8 | 4.2 |
Population Comparison: Paterson vs Union city
- In Paterson, the population is higher at 156,661, compared to 10,985 in Union city.
- The median age in Union city is higher at 37.4 years, compared to 33.1 years in Paterson.
- Paterson has a higher median income of $52,092 compared to $42,620 in Union city.
- In Union city, the percentage of married families is higher at 35.0%, compared to 27.0% in Paterson.
- Paterson has a higher poverty level at 18% compared to 16% in Union city.
- The unemployment rate in Paterson is higher at 8.8%, compared to 4.2% in Union city.
Demographics
Demographics Paterson vs Union city provide insight into the diversity of the communities to compare.
| Demographic | Paterson | Union city |
|---|---|---|
| Black | 25 | 23 |
| White | Data is updating | 61 |
| Asian | 5 | Data is updating |
| Hispanic | 64 | 8 |
| Two or More Races | 17 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Paterson vs Union city
- A higher percentage of Black residents are in Paterson at 25% compared to 23% in Union city.
- The percentage of White residents is higher in Union city at 61% compared to 0% in Paterson.
- The Asian population is larger in Paterson at 5% compared to 0% in Union city.
- The Hispanic community is larger in Paterson at 64% compared to 8% in Union city.
- More residents identify as two or more races in Paterson at 17% compared to 8% in Union city.
- The percentage of American Indian residents is the same in both Paterson and Union city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paterson | Union city |
|---|---|---|
| Mental Health Not Good | 17.5% | 22.1% |
| Physical Health Not Good | 15.1% | 16.6% |
| Depression | 16.5% | 29.8% |
| Smoking | 17.7% | 27.9% |
| Binge Drinking | 13.9% | 13.0% |
| Obesity | 38.0% | 39.7% |
| Disability Percentage | 7.0% | 22.0% |
Health Statistics Comparison: Paterson vs Union city
- In Union city, a higher percentage report poor mental health at 22.1% compared to 17.5% in Paterson.
- Higher depression rates are seen in Union city at 29.8% versus 16.5% in Paterson.
- Union city has a higher smoking rate at 27.9% compared to 17.7% in Paterson.
- Binge drinking is more common in Paterson at 13.9% compared to 13.0% in Union city.
- Union city has higher obesity rates at 39.7% compared to 38.0% in Paterson.
- There is a higher percentage of disabled individuals in Union city at 22.0% 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 | Union city |
|---|---|---|
| No Schooling | 2.1% (3,278) | 0.5% (60) |
| High School Diploma | 25.1% (39,354) | 21.0% (2,309) |
| Less than High School | 26.1% (40,961) | 18.4% (2,016) |
| Bachelor's Degree and Higher | 7.9% (12,450) | 12.8% (1,408) |
Education Levels Comparison: Paterson vs Union city
- A higher percentage of residents in Paterson have no formal schooling at 2.1% compared to 0.5% in Union city.
- A higher percentage of residents in Paterson hold a high school diploma at 25.1% compared to 21.0% in Union city.
- More residents in Paterson have less than a high school education at 26.1% compared to 18.4% in Union city.
- In Union city, a larger share of residents have a bachelor's degree or higher at 12.8% 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.