Demographics details for Viborg, SD vs Wheeler, TX
Population Overview
Compare main population characteristics in Viborg, SD vs Wheeler, TX.
| Data | Viborg | Wheeler |
|---|---|---|
| Population | 824 | 4,807 |
| Median Age | 50.3 years | 40.0 years |
| Median Income | $46,316 | $58,158 |
| Married Families | 31.0% | 49.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Viborg vs Wheeler
- The population in Wheeler is higher at 4,807, compared to 824 in Viborg.
- Residents in Viborg have a higher median age of 50.3 years compared to 40.0 years in Wheeler.
- Wheeler has a higher median income of $58,158, compared to $46,316 in Viborg.
- In Wheeler, the percentage of married families is higher at 49.0%, compared to 31.0% in Viborg.
- The poverty level is higher in Wheeler at 14%, compared to 12% in Viborg.
- Wheeler has a higher unemployment rate at 4.1% compared to 3.2% in Viborg.
Demographics
Demographics Viborg vs Wheeler provide insight into the diversity of the communities to compare.
| Demographic | Viborg | Wheeler |
|---|---|---|
| Black | Data is updating | 3 |
| White | 91 | 63 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 26 |
| Two or More Races | 4 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Viborg vs Wheeler
- In Wheeler, the percentage of Black residents is higher at 3% compared to 0% in Viborg.
- Viborg has a higher percentage of White residents at 91% compared to 63% in Wheeler.
- Both Viborg and Wheeler have the same percentage of Asian residents at 0%.
- Wheeler has a higher percentage of Hispanic residents at 26%, compared to 4% in Viborg.
- The percentage of residents identifying as two or more races is higher in Wheeler at 8%, compared to 4% in Viborg.
- A greater percentage of American Indian residents live in Viborg at 1% compared to 0% in Wheeler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Viborg | Wheeler |
|---|---|---|
| Mental Health Not Good | 13.8% | 18.9% |
| Physical Health Not Good | 9.5% | 13.6% |
| Depression | 18.1% | 24.8% |
| Smoking | 17.4% | 20.3% |
| Binge Drinking | 20.1% | 17.8% |
| Obesity | 35.2% | 39.0% |
| Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Viborg vs Wheeler
- In Wheeler, a higher percentage report poor mental health at 18.9% compared to 13.8% in Viborg.
- Higher depression rates are seen in Wheeler at 24.8% versus 18.1% in Viborg.
- Wheeler has a higher smoking rate at 20.3% compared to 17.4% in Viborg.
- Binge drinking is more common in Viborg at 20.1% compared to 17.8% in Wheeler.
- Wheeler has higher obesity rates at 39.0% compared to 35.2% in Viborg.
- There is a higher percentage of disabled individuals in Wheeler at 16.0% 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 | Wheeler |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (59) |
| High School Diploma | 22.8% (188) | 23.7% (1,141) |
| Less than High School | 14.2% (117) | 19.7% (948) |
| Bachelor's Degree and Higher | 14.6% (120) | 12.4% (596) |
Education Levels Comparison: Viborg vs Wheeler
- In Wheeler, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Viborg.
- In Wheeler, 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 Wheeler at 19.7%, 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 12.4% in Wheeler.
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.