Demographics details for Danube, MN vs Sioux city, IA
Population Overview
Compare main population characteristics in Danube, MN vs Sioux city, IA.
| Data | Danube | Sioux city |
|---|---|---|
| Population | 450 | 85,497 |
| Median Age | 36.0 years | 34.8 years |
| Median Income | $57,083 | $64,250 |
| Married Families | 41.0% | 35.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.2 | 2.9 |
Population Comparison: Danube vs Sioux city
- The population in Sioux city is higher at 85,497, compared to 450 in Danube.
- Residents in Danube have a higher median age of 36.0 years compared to 34.8 years in Sioux city.
- Sioux city has a higher median income of $64,250, compared to $57,083 in Danube.
- A higher percentage of married families is found in Danube at 41.0% compared to 35.0% in Sioux city.
- The poverty level is higher in Sioux city at 10%, compared to 5% in Danube.
- The unemployment rate in Danube is higher at 4.2%, compared to 2.9% in Sioux city.
Demographics
Demographics Danube vs Sioux city provide insight into the diversity of the communities to compare.
| Demographic | Danube | Sioux city |
|---|---|---|
| Black | Data is updating | 5 |
| White | 95 | 56 |
| Asian | Data is updating | 3 |
| Hispanic | 5 | 21 |
| Two or More Races | Data is updating | 13 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Danube vs Sioux city
- In Sioux city, the percentage of Black residents is higher at 5% compared to 0% in Danube.
- Danube has a higher percentage of White residents at 95% compared to 56% in Sioux city.
- In Sioux city, the Asian population stands at 3%, greater than 0% in Danube.
- Sioux city has a higher percentage of Hispanic residents at 21%, compared to 5% in Danube.
- The percentage of residents identifying as two or more races is higher in Sioux city at 13%, compared to 0% in Danube.
- In Sioux city, the percentage of American Indian residents is higher at 2%, compared to 0% in Danube.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danube | Sioux city |
|---|---|---|
| Mental Health Not Good | 15.2% | 16.0% |
| Physical Health Not Good | 9.9% | 11.3% |
| Depression | 23.3% | 20.0% |
| Smoking | 18.5% | 20.1% |
| Binge Drinking | 19.6% | 20.9% |
| Obesity | 37.8% | 38.6% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Danube vs Sioux city
- In Sioux city, a higher percentage report poor mental health at 16.0% compared to 15.2% in Danube.
- Depression is more prevalent in Danube at 23.3% compared to 20.0% in Sioux city.
- Sioux city has a higher smoking rate at 20.1% compared to 18.5% in Danube.
- More residents engage in binge drinking in Sioux city at 20.9% compared to 19.6% in Danube.
- Sioux city has higher obesity rates at 38.6% compared to 37.8% in Danube.
- Disability percentages are the same in both Danube and Sioux city at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Danube | Sioux city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (1,129) |
| High School Diploma | 19.3% (87) | 17.3% (14,795) |
| Less than High School | 10.4% (47) | 16.1% (13,764) |
| Bachelor's Degree and Higher | 5.8% (26) | 14.1% (12,061) |
Education Levels Comparison: Danube vs Sioux city
- In Sioux city, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Danube.
- A higher percentage of residents in Danube hold a high school diploma at 19.3% compared to 17.3% in Sioux city.
- The percentage of residents with less than a high school education is higher in Sioux city at 16.1%, compared to 10.4% in Danube.
- In Sioux city, a larger share of residents have a bachelor's degree or higher at 14.1% compared to 5.8% in Danube.
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.