Demographics details for Woodland, PA vs Paterson, NJ
Population Overview
Compare main population characteristics in Woodland, PA vs Paterson, NJ.
Data | Woodland | Paterson |
---|---|---|
Population | 185 | 156,661 |
Median Age | 36.0 years | 33.1 years |
Median Income | $55,000 | $52,092 |
Married Families | 30.0% | 27.0% |
Poverty Level | 10% | 18% |
Unemployment Rate | 5.0 | 8.8 |
Population Comparison: Woodland vs Paterson
- The population in Paterson is higher at 156,661, compared to 185 in Woodland.
- Residents in Woodland have a higher median age of 36.0 years compared to 33.1 years in Paterson.
- Woodland has a higher median income of $55,000 compared to $52,092 in Paterson.
- A higher percentage of married families is found in Woodland at 30.0% compared to 27.0% in Paterson.
- The poverty level is higher in Paterson at 18%, compared to 10% in Woodland.
- Paterson has a higher unemployment rate at 8.8% compared to 5.0% in Woodland.
Demographics
Demographics Woodland vs Paterson provide insight into the diversity of the communities to compare.
Demographic | Woodland | Paterson |
---|---|---|
Black | 3 | 25 |
White | 92 | Data is updating |
Asian | 2 | 5 |
Hispanic | 1 | 64 |
Two or More Races | 2 | 17 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodland vs Paterson
- In Paterson, the percentage of Black residents is higher at 25% compared to 3% in Woodland.
- Woodland has a higher percentage of White residents at 92% compared to 0% in Paterson.
- In Paterson, the Asian population stands at 5%, greater than 2% in Woodland.
- Paterson has a higher percentage of Hispanic residents at 64%, compared to 1% in Woodland.
- The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 2% in Woodland.
- The percentage of American Indian residents is the same in both Woodland and Paterson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Woodland | Paterson |
---|---|---|
Mental Health Not Good | Data is updating% | 17.5% |
Physical Health Not Good | Data is updating% | 15.1% |
Depression | Data is updating% | 16.5% |
Smoking | Data is updating% | 17.7% |
Binge Drinking | Data is updating% | 13.9% |
Obesity | Data is updating% | 38.0% |
Disability Percentage | Data is updating% | 7.0% |
Health Statistics Comparison: Woodland vs Paterson
- In Paterson, a higher percentage report poor mental health at 17.5% compared to 0.0% in Woodland.
- Higher depression rates are seen in Paterson at 16.5% versus 0.0% in Woodland.
- Paterson has a higher smoking rate at 17.7% compared to 0.0% in Woodland.
- More residents engage in binge drinking in Paterson at 13.9% compared to 0.0% in Woodland.
- Paterson has higher obesity rates at 38.0% compared to 0.0% in Woodland.
- There is a higher percentage of disabled individuals in Paterson at 7.0% compared to 0.0% in Woodland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Woodland | Paterson |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.1% (3,278) |
High School Diploma | 0.0% (Data is updating) | 25.1% (39,354) |
Less than High School | 0.0% (Data is updating) | 26.1% (40,961) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.9% (12,450) |
Education Levels Comparison: Woodland vs Paterson
- In Paterson, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Woodland.
- In Paterson, the rate of residents with high school diplomas is higher at 25.1% compared to 0.0% in Woodland.
- The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 0.0% in Woodland.
- In Paterson, a larger share of residents have a bachelor's degree or higher at 7.9% compared to 0.0% in Woodland.
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.