Demographics details for Danube, MN vs Piper city, IL
Population Overview
Compare main population characteristics in Danube, MN vs Piper city, IL.
| Data | Danube | Piper city |
|---|---|---|
| Population | 450 | 729 |
| Median Age | 36.0 years | 48.3 years |
| Median Income | $57,083 | $38,750 |
| Married Families | 41.0% | 40.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Danube vs Piper city
- The population in Piper city is higher at 729, compared to 450 in Danube.
- The median age in Piper city is higher at 48.3 years, compared to 36.0 years in Danube.
- Danube has a higher median income of $57,083 compared to $38,750 in Piper city.
- A higher percentage of married families is found in Danube at 41.0% compared to 40.0% in Piper city.
- The poverty level is higher in Piper city at 11%, compared to 5% in Danube.
- The unemployment rate in Danube is higher at 4.2%, compared to 3.2% in Piper city.
Demographics
Demographics Danube vs Piper city provide insight into the diversity of the communities to compare.
| Demographic | Danube | Piper city |
|---|---|---|
| Black | Data is updating | 2 |
| White | 95 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 3 |
| Two or More Races | Data is updating | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Danube vs Piper city
- In Piper city, the percentage of Black residents is higher at 2% compared to 0% in Danube.
- Danube has a higher percentage of White residents at 95% compared to 94% in Piper city.
- Both Danube and Piper city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Danube at 5% compared to 3% in Piper city.
- The percentage of residents identifying as two or more races is higher in Piper city at 1%, compared to 0% in Danube.
- The percentage of American Indian residents is the same in both Danube and Piper city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danube | Piper city |
|---|---|---|
| Mental Health Not Good | 15.2% | 17.8% |
| Physical Health Not Good | 9.9% | 12.8% |
| Depression | 23.3% | 23.2% |
| Smoking | 18.5% | 20.6% |
| Binge Drinking | 19.6% | 17.3% |
| Obesity | 37.8% | 38.4% |
| Disability Percentage | 12.0% | 26.0% |
Health Statistics Comparison: Danube vs Piper city
- In Piper city, a higher percentage report poor mental health at 17.8% compared to 15.2% in Danube.
- Depression is more prevalent in Danube at 23.3% compared to 23.2% in Piper city.
- Piper city has a higher smoking rate at 20.6% compared to 18.5% in Danube.
- Binge drinking is more common in Danube at 19.6% compared to 17.3% in Piper city.
- Piper city has higher obesity rates at 38.4% compared to 37.8% in Danube.
- There is a higher percentage of disabled individuals in Piper city at 26.0% compared to 12.0% in Danube.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Danube | Piper city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.1% (1) |
| High School Diploma | 19.3% (87) | 30.3% (221) |
| Less than High School | 10.4% (47) | 10.8% (79) |
| Bachelor's Degree and Higher | 5.8% (26) | 5.8% (42) |
Education Levels Comparison: Danube vs Piper city
- In Piper city, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Danube.
- In Piper city, the rate of residents with high school diplomas is higher at 30.3% compared to 19.3% in Danube.
- The percentage of residents with less than a high school education is higher in Piper city at 10.8%, compared to 10.4% in Danube.
- The percentage of residents with a bachelor's degree or higher is identical in both Danube and Piper city at 5.8%.
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.