Demographics details for Viborg, SD vs Nanticoke, PA
Population Overview
Compare main population characteristics in Viborg, SD vs Nanticoke, PA.
| Data | Viborg | Nanticoke |
|---|---|---|
| Population | 824 | 10,607 |
| Median Age | 50.3 years | 42.0 years |
| Median Income | $46,316 | $56,238 |
| Married Families | 31.0% | 34.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.2 | 7.2 |
Population Comparison: Viborg vs Nanticoke
- The population in Nanticoke is higher at 10,607, compared to 824 in Viborg.
- Residents in Viborg have a higher median age of 50.3 years compared to 42.0 years in Nanticoke.
- Nanticoke has a higher median income of $56,238, compared to $46,316 in Viborg.
- In Nanticoke, the percentage of married families is higher at 34.0%, compared to 31.0% in Viborg.
- The poverty level is identical in both Viborg and Nanticoke at 12%.
- Nanticoke has a higher unemployment rate at 7.2% compared to 3.2% in Viborg.
Demographics
Demographics Viborg vs Nanticoke provide insight into the diversity of the communities to compare.
| Demographic | Viborg | Nanticoke |
|---|---|---|
| Black | Data is updating | 6 |
| White | 91 | 76 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 11 |
| Two or More Races | 4 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Viborg vs Nanticoke
- In Nanticoke, the percentage of Black residents is higher at 6% compared to 0% in Viborg.
- Viborg has a higher percentage of White residents at 91% compared to 76% in Nanticoke.
- Both Viborg and Nanticoke have the same percentage of Asian residents at 0%.
- Nanticoke has a higher percentage of Hispanic residents at 11%, compared to 4% in Viborg.
- The percentage of residents identifying as two or more races is higher in Nanticoke at 7%, compared to 4% in Viborg.
- A greater percentage of American Indian residents live in Viborg at 1% compared to 0% in Nanticoke.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Viborg | Nanticoke |
|---|---|---|
| Mental Health Not Good | 13.8% | 19.3% |
| Physical Health Not Good | 9.5% | 13.7% |
| Depression | 18.1% | 23.9% |
| Smoking | 17.4% | 24.0% |
| Binge Drinking | 20.1% | 17.3% |
| Obesity | 35.2% | 38.2% |
| Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Viborg vs Nanticoke
- In Nanticoke, a higher percentage report poor mental health at 19.3% compared to 13.8% in Viborg.
- Higher depression rates are seen in Nanticoke at 23.9% versus 18.1% in Viborg.
- Nanticoke has a higher smoking rate at 24.0% compared to 17.4% in Viborg.
- Binge drinking is more common in Viborg at 20.1% compared to 17.3% in Nanticoke.
- Nanticoke has higher obesity rates at 38.2% compared to 35.2% in Viborg.
- There is a higher percentage of disabled individuals in Nanticoke at 20.0% compared to 12.0% in Viborg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Viborg | Nanticoke |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (140) |
| High School Diploma | 22.8% (188) | 23.7% (2,518) |
| Less than High School | 14.2% (117) | 19.6% (2,077) |
| Bachelor's Degree and Higher | 14.6% (120) | 14.1% (1,491) |
Education Levels Comparison: Viborg vs Nanticoke
- In Nanticoke, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Viborg.
- In Nanticoke, the rate of residents with high school diplomas is higher at 23.7% compared to 22.8% in Viborg.
- The percentage of residents with less than a high school education is higher in Nanticoke at 19.6%, 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 14.1% in Nanticoke.
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.