Demographics details for Wauconda, IL vs Viborg, SD
Population Overview
Compare main population characteristics in Wauconda, IL vs Viborg, SD.
Data | Wauconda | Viborg |
---|---|---|
Population | 13,932 | 824 |
Median Age | 36.8 years | 50.3 years |
Median Income | $108,229 | $46,316 |
Married Families | 43.0% | 31.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Wauconda vs Viborg
- In Wauconda, the population is higher at 13,932, compared to 824 in Viborg.
- The median age in Viborg is higher at 50.3 years, compared to 36.8 years in Wauconda.
- Wauconda has a higher median income of $108,229 compared to $46,316 in Viborg.
- A higher percentage of married families is found in Wauconda at 43.0% compared to 31.0% in Viborg.
- The poverty level is higher in Viborg at 12%, compared to 8% in Wauconda.
- The unemployment rate in Wauconda is higher at 3.5%, compared to 3.2% in Viborg.
Demographics
Demographics Wauconda vs Viborg provide insight into the diversity of the communities to compare.
Demographic | Wauconda | Viborg |
---|---|---|
Black | 1 | Data is updating |
White | 66 | 91 |
Asian | 6 | Data is updating |
Hispanic | 18 | 4 |
Two or More Races | 9 | 4 |
American Indian | Data is updating | 1 |
Demographics Comparison: Wauconda vs Viborg
- A higher percentage of Black residents are in Wauconda at 1% compared to 0% in Viborg.
- The percentage of White residents is higher in Viborg at 91% compared to 66% in Wauconda.
- The Asian population is larger in Wauconda at 6% compared to 0% in Viborg.
- The Hispanic community is larger in Wauconda at 18% compared to 4% in Viborg.
- More residents identify as two or more races in Wauconda at 9% compared to 4% in Viborg.
- In Viborg, the percentage of American Indian residents is higher at 1%, compared to 0% in Wauconda.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wauconda | Viborg |
---|---|---|
Mental Health Not Good | 14.2% | 13.8% |
Physical Health Not Good | 9.2% | 9.5% |
Depression | 18.8% | 18.1% |
Smoking | 12.7% | 17.4% |
Binge Drinking | 18.8% | 20.1% |
Obesity | 31.0% | 35.2% |
Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Wauconda vs Viborg
- More residents in Wauconda report poor mental health at 14.2% compared to 13.8% in Viborg.
- Depression is more prevalent in Wauconda at 18.8% compared to 18.1% in Viborg.
- Viborg has a higher smoking rate at 17.4% compared to 12.7% in Wauconda.
- More residents engage in binge drinking in Viborg at 20.1% compared to 18.8% in Wauconda.
- Viborg has higher obesity rates at 35.2% compared to 31.0% in Wauconda.
- There is a higher percentage of disabled individuals in Viborg at 12.0% compared to 8.0% in Wauconda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wauconda | Viborg |
---|---|---|
No Schooling | 1.4% (202) | 0.0% (Data is updating) |
High School Diploma | 10.5% (1,456) | 22.8% (188) |
Less than High School | 10.2% (1,425) | 14.2% (117) |
Bachelor's Degree and Higher | 26.0% (3,623) | 14.6% (120) |
Education Levels Comparison: Wauconda vs Viborg
- A higher percentage of residents in Wauconda have no formal schooling at 1.4% compared to 0.0% in Viborg.
- In Viborg, the rate of residents with high school diplomas is higher at 22.8% compared to 10.5% in Wauconda.
- The percentage of residents with less than a high school education is higher in Viborg at 14.2%, compared to 10.2% in Wauconda.
- A higher percentage of residents in Wauconda hold a bachelor's degree or higher at 26.0% 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.