Demographics details for Viborg, SD vs Pittsburg, CA
Population Overview
Compare main population characteristics in Viborg, SD vs Pittsburg, CA.
| Data | Viborg | Pittsburg |
|---|---|---|
| Population | 824 | 77,572 |
| Median Age | 50.3 years | 35.2 years |
| Median Income | $46,316 | $98,408 |
| Married Families | 31.0% | 37.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.2 | 5.3 |
Population Comparison: Viborg vs Pittsburg
- The population in Pittsburg is higher at 77,572, compared to 824 in Viborg.
- Residents in Viborg have a higher median age of 50.3 years compared to 35.2 years in Pittsburg.
- Pittsburg has a higher median income of $98,408, compared to $46,316 in Viborg.
- In Pittsburg, the percentage of married families is higher at 37.0%, compared to 31.0% in Viborg.
- Viborg has a higher poverty level at 12% compared to 0% in Pittsburg.
- Pittsburg has a higher unemployment rate at 5.3% compared to 3.2% in Viborg.
Demographics
Demographics Viborg vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Viborg | Pittsburg |
|---|---|---|
| Black | Data is updating | 15 |
| White | 91 | 9 |
| Asian | Data is updating | 18 |
| Hispanic | 4 | 43 |
| Two or More Races | 4 | 14 |
| American Indian | 1 | 1 |
Demographics Comparison: Viborg vs Pittsburg
- In Pittsburg, the percentage of Black residents is higher at 15% compared to 0% in Viborg.
- Viborg has a higher percentage of White residents at 91% compared to 9% in Pittsburg.
- In Pittsburg, the Asian population stands at 18%, greater than 0% in Viborg.
- Pittsburg has a higher percentage of Hispanic residents at 43%, compared to 4% in Viborg.
- The percentage of residents identifying as two or more races is higher in Pittsburg at 14%, compared to 4% in Viborg.
- The percentage of American Indian residents is the same in both Viborg and Pittsburg at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Viborg | Pittsburg |
|---|---|---|
| Mental Health Not Good | 13.8% | 15.8% |
| Physical Health Not Good | 9.5% | 11.8% |
| Depression | 18.1% | 16.7% |
| Smoking | 17.4% | 12.7% |
| Binge Drinking | 20.1% | 15.0% |
| Obesity | 35.2% | 28.4% |
| Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Viborg vs Pittsburg
- In Pittsburg, a higher percentage report poor mental health at 15.8% compared to 13.8% in Viborg.
- Depression is more prevalent in Viborg at 18.1% compared to 16.7% in Pittsburg.
- Smoking is more prevalent in Viborg at 17.4% compared to 12.7% in Pittsburg.
- Binge drinking is more common in Viborg at 20.1% compared to 15.0% in Pittsburg.
- Obesity rates are higher in Viborg at 35.2% compared to 28.4% in Pittsburg.
- There is a higher percentage of disabled individuals in Pittsburg at 13.0% 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 | Pittsburg |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.1% (2,439) |
| High School Diploma | 22.8% (188) | 14.5% (11,263) |
| Less than High School | 14.2% (117) | 23.3% (18,048) |
| Bachelor's Degree and Higher | 14.6% (120) | 14.8% (11,476) |
Education Levels Comparison: Viborg vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 3.1% compared to 0.0% in Viborg.
- A higher percentage of residents in Viborg hold a high school diploma at 22.8% compared to 14.5% in Pittsburg.
- The percentage of residents with less than a high school education is higher in Pittsburg at 23.3%, compared to 14.2% in Viborg.
- In Pittsburg, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 14.6% in Viborg.
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.