Demographics details for Paterson, NJ vs Morrow, GA
Population Overview
Compare main population characteristics in Paterson, NJ vs Morrow, GA.
| Data | Paterson | Morrow |
|---|---|---|
| Population | 156,661 | 6,426 |
| Median Age | 33.1 years | 28.9 years |
| Median Income | $52,092 | $64,890 |
| Married Families | 27.0% | 34.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 8.8 | 4.5 |
Population Comparison: Paterson vs Morrow
- In Paterson, the population is higher at 156,661, compared to 6,426 in Morrow.
- Residents in Paterson have a higher median age of 33.1 years compared to 28.9 years in Morrow.
- Morrow has a higher median income of $64,890, compared to $52,092 in Paterson.
- In Morrow, the percentage of married families is higher at 34.0%, compared to 27.0% in Paterson.
- Paterson has a higher poverty level at 18% compared to 12% in Morrow.
- The unemployment rate in Paterson is higher at 8.8%, compared to 4.5% in Morrow.
Demographics
Demographics Paterson vs Morrow provide insight into the diversity of the communities to compare.
| Demographic | Paterson | Morrow |
|---|---|---|
| Black | 25 | 37 |
| White | Data is updating | 22 |
| Asian | 5 | 29 |
| Hispanic | 64 | 28 |
| Two or More Races | 17 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Paterson vs Morrow
- In Morrow, the percentage of Black residents is higher at 37% compared to 25% in Paterson.
- The percentage of White residents is higher in Morrow at 22% compared to 0% in Paterson.
- In Morrow, the Asian population stands at 29%, greater than 5% in Paterson.
- The Hispanic community is larger in Paterson at 64% compared to 28% in Morrow.
- More residents identify as two or more races in Paterson at 17% compared to 7% in Morrow.
- The percentage of American Indian residents is the same in both Paterson and Morrow at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paterson | Morrow |
|---|---|---|
| Mental Health Not Good | 17.5% | 16.8% |
| Physical Health Not Good | 15.1% | 13.2% |
| Depression | 16.5% | 16.2% |
| Smoking | 17.7% | 19.1% |
| Binge Drinking | 13.9% | 12.3% |
| Obesity | 38.0% | 37.5% |
| Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Paterson vs Morrow
- More residents in Paterson report poor mental health at 17.5% compared to 16.8% in Morrow.
- Depression is more prevalent in Paterson at 16.5% compared to 16.2% in Morrow.
- Morrow has a higher smoking rate at 19.1% compared to 17.7% in Paterson.
- Binge drinking is more common in Paterson at 13.9% compared to 12.3% in Morrow.
- Obesity rates are higher in Paterson at 38.0% compared to 37.5% in Morrow.
- There is a higher percentage of disabled individuals in Morrow at 10.0% 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 | Morrow |
|---|---|---|
| No Schooling | 2.1% (3,278) | 2.6% (168) |
| High School Diploma | 25.1% (39,354) | 14.5% (929) |
| Less than High School | 26.1% (40,961) | 19.9% (1,280) |
| Bachelor's Degree and Higher | 7.9% (12,450) | 10.0% (642) |
Education Levels Comparison: Paterson vs Morrow
- In Morrow, a larger percentage of residents lack formal schooling at 2.6% compared to 2.1% in Paterson.
- A higher percentage of residents in Paterson hold a high school diploma at 25.1% compared to 14.5% in Morrow.
- More residents in Paterson have less than a high school education at 26.1% compared to 19.9% in Morrow.
- In Morrow, a larger share of residents have a bachelor's degree or higher at 10.0% 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.