Demographics details for Danube, MN vs Chester, IL
Population Overview
Compare main population characteristics in Danube, MN vs Chester, IL.
| Data | Danube | Chester |
|---|---|---|
| Population | 450 | 6,782 |
| Median Age | 36.0 years | 43.2 years |
| Median Income | $57,083 | $68,826 |
| Married Families | 41.0% | 29.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Danube vs Chester
- The population in Chester is higher at 6,782, compared to 450 in Danube.
- The median age in Chester is higher at 43.2 years, compared to 36.0 years in Danube.
- Chester has a higher median income of $68,826, compared to $57,083 in Danube.
- A higher percentage of married families is found in Danube at 41.0% compared to 29.0% in Chester.
- The poverty level is higher in Chester at 10%, compared to 5% in Danube.
- Chester has a higher unemployment rate at 4.5% compared to 4.2% in Danube.
Demographics
Demographics Danube vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Danube | Chester |
|---|---|---|
| Black | Data is updating | 27 |
| White | 95 | 66 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 5 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Danube vs Chester
- In Chester, the percentage of Black residents is higher at 27% compared to 0% in Danube.
- Danube has a higher percentage of White residents at 95% compared to 66% in Chester.
- Both Danube and Chester have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Danube and Chester at 5%.
- The percentage of residents identifying as two or more races is higher in Chester at 2%, compared to 0% in Danube.
- The percentage of American Indian residents is the same in both Danube and Chester at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danube | Chester |
|---|---|---|
| Mental Health Not Good | 15.2% | 16.3% |
| Physical Health Not Good | 9.9% | 13.1% |
| Depression | 23.3% | 18.6% |
| Smoking | 18.5% | 22.6% |
| Binge Drinking | 19.6% | 17.6% |
| Obesity | 37.8% | 40.8% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Danube vs Chester
- In Chester, a higher percentage report poor mental health at 16.3% compared to 15.2% in Danube.
- Depression is more prevalent in Danube at 23.3% compared to 18.6% in Chester.
- Chester has a higher smoking rate at 22.6% compared to 18.5% in Danube.
- Binge drinking is more common in Danube at 19.6% compared to 17.6% in Chester.
- Chester has higher obesity rates at 40.8% compared to 37.8% in Danube.
- There is a higher percentage of disabled individuals in Chester at 15.0% 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 | Chester |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (97) |
| High School Diploma | 19.3% (87) | 23.9% (1,620) |
| Less than High School | 10.4% (47) | 35.1% (2,380) |
| Bachelor's Degree and Higher | 5.8% (26) | 6.6% (447) |
Education Levels Comparison: Danube vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Danube.
- In Chester, the rate of residents with high school diplomas is higher at 23.9% compared to 19.3% in Danube.
- The percentage of residents with less than a high school education is higher in Chester at 35.1%, compared to 10.4% in Danube.
- In Chester, a larger share of residents have a bachelor's degree or higher at 6.6% 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.