Demographics details for Viborg, SD vs Dardanelle, AR
Population Overview
Compare main population characteristics in Viborg, SD vs Dardanelle, AR.
Data | Viborg | Dardanelle |
---|---|---|
Population | 824 | 4,518 |
Median Age | 50.3 years | 37.9 years |
Median Income | $46,316 | $47,724 |
Married Families | 31.0% | 41.0% |
Poverty Level | 12% | 19% |
Unemployment Rate | 3.2 | 5.7 |
Population Comparison: Viborg vs Dardanelle
- The population in Dardanelle is higher at 4,518, compared to 824 in Viborg.
- Residents in Viborg have a higher median age of 50.3 years compared to 37.9 years in Dardanelle.
- Dardanelle has a higher median income of $47,724, compared to $46,316 in Viborg.
- In Dardanelle, the percentage of married families is higher at 41.0%, compared to 31.0% in Viborg.
- The poverty level is higher in Dardanelle at 19%, compared to 12% in Viborg.
- Dardanelle has a higher unemployment rate at 5.7% compared to 3.2% in Viborg.
Demographics
Demographics Viborg vs Dardanelle provide insight into the diversity of the communities to compare.
Demographic | Viborg | Dardanelle |
---|---|---|
Black | Data is updating | 8 |
White | 91 | 50 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 40 |
Two or More Races | 4 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Viborg vs Dardanelle
- In Dardanelle, the percentage of Black residents is higher at 8% compared to 0% in Viborg.
- Viborg has a higher percentage of White residents at 91% compared to 50% in Dardanelle.
- Both Viborg and Dardanelle have the same percentage of Asian residents at 0%.
- Dardanelle has a higher percentage of Hispanic residents at 40%, compared to 4% in Viborg.
- More residents identify as two or more races in Viborg at 4% compared to 2% in Dardanelle.
- A greater percentage of American Indian residents live in Viborg at 1% compared to 0% in Dardanelle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Viborg | Dardanelle |
---|---|---|
Mental Health Not Good | 13.8% | 19.2% |
Physical Health Not Good | 9.5% | 14.9% |
Depression | 18.1% | 26.3% |
Smoking | 17.4% | 22.1% |
Binge Drinking | 20.1% | 14.0% |
Obesity | 35.2% | 37.5% |
Disability Percentage | 12.0% | 21.0% |
Health Statistics Comparison: Viborg vs Dardanelle
- In Dardanelle, a higher percentage report poor mental health at 19.2% compared to 13.8% in Viborg.
- Higher depression rates are seen in Dardanelle at 26.3% versus 18.1% in Viborg.
- Dardanelle has a higher smoking rate at 22.1% compared to 17.4% in Viborg.
- Binge drinking is more common in Viborg at 20.1% compared to 14.0% in Dardanelle.
- Dardanelle has higher obesity rates at 37.5% compared to 35.2% in Viborg.
- There is a higher percentage of disabled individuals in Dardanelle at 21.0% 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 | Dardanelle |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.1% (94) |
High School Diploma | 22.8% (188) | 16.5% (745) |
Less than High School | 14.2% (117) | 36.0% (1,626) |
Bachelor's Degree and Higher | 14.6% (120) | 7.7% (346) |
Education Levels Comparison: Viborg vs Dardanelle
- In Dardanelle, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Viborg.
- A higher percentage of residents in Viborg hold a high school diploma at 22.8% compared to 16.5% in Dardanelle.
- The percentage of residents with less than a high school education is higher in Dardanelle at 36.0%, 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 7.7% in Dardanelle.
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.