Demographics details for Wakita, OK vs Viborg, SD
Population Overview
Compare main population characteristics in Wakita, OK vs Viborg, SD.
| Data | Wakita | Viborg |
|---|---|---|
| Population | 307 | 824 |
| Median Age | 35.5 years | 50.3 years |
| Median Income | $34,375 | $46,316 |
| Married Families | 32.0% | 31.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Wakita vs Viborg
- The population in Viborg is higher at 824, compared to 307 in Wakita.
- The median age in Viborg is higher at 50.3 years, compared to 35.5 years in Wakita.
- Viborg has a higher median income of $46,316, compared to $34,375 in Wakita.
- A higher percentage of married families is found in Wakita at 32.0% compared to 31.0% in Viborg.
- Wakita has a higher poverty level at 15% compared to 12% in Viborg.
- The unemployment rate in Wakita is higher at 3.5%, compared to 3.2% in Viborg.
Demographics
Demographics Wakita vs Viborg provide insight into the diversity of the communities to compare.
| Demographic | Wakita | Viborg |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 74 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 20 | 4 |
| Two or More Races | 4 | 4 |
| American Indian | 2 | 1 |
Demographics Comparison: Wakita vs Viborg
- The percentage of Black residents is the same in both Wakita and Viborg at 0%.
- The percentage of White residents is higher in Viborg at 91% compared to 74% in Wakita.
- Both Wakita and Viborg have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wakita at 20% compared to 4% in Viborg.
- Both Wakita and Viborg have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Wakita at 2% compared to 1% in Viborg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wakita | Viborg |
|---|---|---|
| Mental Health Not Good | 17.8% | 13.8% |
| Physical Health Not Good | 11.4% | 9.5% |
| Depression | 25.5% | 18.1% |
| Smoking | 17.8% | 17.4% |
| Binge Drinking | 15.8% | 20.1% |
| Obesity | 39.1% | 35.2% |
| Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Wakita vs Viborg
- More residents in Wakita report poor mental health at 17.8% compared to 13.8% in Viborg.
- Depression is more prevalent in Wakita at 25.5% compared to 18.1% in Viborg.
- Smoking is more prevalent in Wakita at 17.8% compared to 17.4% in Viborg.
- More residents engage in binge drinking in Viborg at 20.1% compared to 15.8% in Wakita.
- Obesity rates are higher in Wakita at 39.1% compared to 35.2% in Viborg.
- Disability percentages are higher in Wakita at 19.0% 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 | Wakita | Viborg |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 25.1% (77) | 22.8% (188) |
| Less than High School | 10.4% (32) | 14.2% (117) |
| Bachelor's Degree and Higher | 11.4% (35) | 14.6% (120) |
Education Levels Comparison: Wakita vs Viborg
- The percentage of residents with no formal schooling is the same in both Wakita and Viborg at 0.0%.
- A higher percentage of residents in Wakita hold a high school diploma at 25.1% compared to 22.8% in Viborg.
- The percentage of residents with less than a high school education is higher in Viborg at 14.2%, compared to 10.4% in Wakita.
- In Viborg, a larger share of residents have a bachelor's degree or higher at 14.6% compared to 11.4% in Wakita.
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.