Demographics details for Viborg, SD vs Paterson, NJ
Population Overview
Compare main population characteristics in Viborg, SD vs Paterson, NJ.
| Data | Viborg | Paterson |
|---|---|---|
| Population | 824 | 156,661 |
| Median Age | 50.3 years | 33.1 years |
| Median Income | $46,316 | $52,092 |
| Married Families | 31.0% | 27.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 3.2 | 8.8 |
Population Comparison: Viborg vs Paterson
- The population in Paterson is higher at 156,661, compared to 824 in Viborg.
- Residents in Viborg have a higher median age of 50.3 years compared to 33.1 years in Paterson.
- Paterson has a higher median income of $52,092, compared to $46,316 in Viborg.
- A higher percentage of married families is found in Viborg at 31.0% compared to 27.0% in Paterson.
- The poverty level is higher in Paterson at 18%, compared to 12% in Viborg.
- Paterson has a higher unemployment rate at 8.8% compared to 3.2% in Viborg.
Demographics
Demographics Viborg vs Paterson provide insight into the diversity of the communities to compare.
| Demographic | Viborg | Paterson |
|---|---|---|
| Black | Data is updating | 25 |
| White | 91 | Data is updating |
| Asian | Data is updating | 5 |
| Hispanic | 4 | 64 |
| Two or More Races | 4 | 17 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Viborg vs Paterson
- In Paterson, the percentage of Black residents is higher at 25% compared to 0% in Viborg.
- Viborg 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 Viborg.
- Paterson has a higher percentage of Hispanic residents at 64%, compared to 4% in Viborg.
- The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 4% in Viborg.
- A greater percentage of American Indian residents live in Viborg at 1% compared to 0% in Paterson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Viborg | Paterson |
|---|---|---|
| Mental Health Not Good | 13.8% | 17.5% |
| Physical Health Not Good | 9.5% | 15.1% |
| Depression | 18.1% | 16.5% |
| Smoking | 17.4% | 17.7% |
| Binge Drinking | 20.1% | 13.9% |
| Obesity | 35.2% | 38.0% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Viborg vs Paterson
- In Paterson, a higher percentage report poor mental health at 17.5% compared to 13.8% in Viborg.
- Depression is more prevalent in Viborg at 18.1% compared to 16.5% in Paterson.
- Paterson has a higher smoking rate at 17.7% compared to 17.4% in Viborg.
- Binge drinking is more common in Viborg at 20.1% compared to 13.9% in Paterson.
- Paterson has higher obesity rates at 38.0% compared to 35.2% in Viborg.
- Disability percentages are higher in Viborg at 12.0% 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 | Viborg | Paterson |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (3,278) |
| High School Diploma | 22.8% (188) | 25.1% (39,354) |
| Less than High School | 14.2% (117) | 26.1% (40,961) |
| Bachelor's Degree and Higher | 14.6% (120) | 7.9% (12,450) |
Education Levels Comparison: Viborg vs Paterson
- In Paterson, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Viborg.
- In Paterson, the rate of residents with high school diplomas is higher at 25.1% compared to 22.8% in Viborg.
- The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 14.2% in Viborg.
- A higher percentage of residents in Viborg hold a bachelor's degree or higher at 14.6% 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.