Demographics details for Wright, WY vs Paterson, NJ
Population Overview
Compare main population characteristics in Wright, WY vs Paterson, NJ.
| Data | Wright | Paterson |
|---|---|---|
| Population | 1,640 | 156,661 |
| Median Age | 35.8 years | 33.1 years |
| Median Income | $88,150 | $52,092 |
| Married Families | 55.0% | 27.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 2.5 | 8.8 |
Population Comparison: Wright vs Paterson
- The population in Paterson is higher at 156,661, compared to 1,640 in Wright.
- Residents in Wright have a higher median age of 35.8 years compared to 33.1 years in Paterson.
- Wright has a higher median income of $88,150 compared to $52,092 in Paterson.
- A higher percentage of married families is found in Wright at 55.0% compared to 27.0% in Paterson.
- The poverty level is higher in Paterson at 18%, compared to 5% in Wright.
- Paterson has a higher unemployment rate at 8.8% compared to 2.5% in Wright.
Demographics
Demographics Wright vs Paterson provide insight into the diversity of the communities to compare.
| Demographic | Wright | Paterson |
|---|---|---|
| Black | 1 | 25 |
| White | 74 | Data is updating |
| Asian | 1 | 5 |
| Hispanic | 11 | 64 |
| Two or More Races | 13 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wright vs Paterson
- In Paterson, the percentage of Black residents is higher at 25% compared to 1% in Wright.
- Wright has a higher percentage of White residents at 74% compared to 0% in Paterson.
- In Paterson, the Asian population stands at 5%, greater than 1% in Wright.
- Paterson has a higher percentage of Hispanic residents at 64%, compared to 11% in Wright.
- The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 13% in Wright.
- The percentage of American Indian residents is the same in both Wright and Paterson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wright | Paterson |
|---|---|---|
| Mental Health Not Good | 14.3% | 17.5% |
| Physical Health Not Good | 9.7% | 15.1% |
| Depression | 18.3% | 16.5% |
| Smoking | 16.8% | 17.7% |
| Binge Drinking | 19.0% | 13.9% |
| Obesity | 34.3% | 38.0% |
| Disability Percentage | 7.0% | 7.0% |
Health Statistics Comparison: Wright vs Paterson
- In Paterson, a higher percentage report poor mental health at 17.5% compared to 14.3% in Wright.
- Depression is more prevalent in Wright at 18.3% compared to 16.5% in Paterson.
- Paterson has a higher smoking rate at 17.7% compared to 16.8% in Wright.
- Binge drinking is more common in Wright at 19.0% compared to 13.9% in Paterson.
- Paterson has higher obesity rates at 38.0% compared to 34.3% in Wright.
- Disability percentages are the same in both Wright and Paterson at 7.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wright | Paterson |
|---|---|---|
| No Schooling | 9.8% (160) | 2.1% (3,278) |
| High School Diploma | 20.5% (336) | 25.1% (39,354) |
| Less than High School | 20.7% (340) | 26.1% (40,961) |
| Bachelor's Degree and Higher | 7.0% (114) | 7.9% (12,450) |
Education Levels Comparison: Wright vs Paterson
- A higher percentage of residents in Wright have no formal schooling at 9.8% compared to 2.1% in Paterson.
- In Paterson, the rate of residents with high school diplomas is higher at 25.1% compared to 20.5% in Wright.
- The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 20.7% in Wright.
- In Paterson, a larger share of residents have a bachelor's degree or higher at 7.9% compared to 7.0% in Wright.
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.