Demographics details for Green, OH vs Danube, MN
Population Overview
Compare main population characteristics in Green, OH vs Danube, MN.
| Data | Green | Danube |
|---|---|---|
| Population | 27,269 | 450 |
| Median Age | 41.1 years | 36.0 years |
| Median Income | $90,419 | $57,083 |
| Married Families | 45.0% | 41.0% |
| Poverty Level | 4% | 5% |
| Unemployment Rate | 4.7 | 4.2 |
Population Comparison: Green vs Danube
- In Green, the population is higher at 27,269, compared to 450 in Danube.
- Residents in Green have a higher median age of 41.1 years compared to 36.0 years in Danube.
- Green has a higher median income of $90,419 compared to $57,083 in Danube.
- A higher percentage of married families is found in Green at 45.0% compared to 41.0% in Danube.
- The poverty level is higher in Danube at 5%, compared to 4% in Green.
- The unemployment rate in Green is higher at 4.7%, compared to 4.2% in Danube.
Demographics
Demographics Green vs Danube provide insight into the diversity of the communities to compare.
| Demographic | Green | Danube |
|---|---|---|
| Black | 1 | Data is updating |
| White | 94 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 5 |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Danube
- A higher percentage of Black residents are in Green at 1% compared to 0% in Danube.
- The percentage of White residents is higher in Danube at 95% compared to 94% in Green.
- The Asian population is larger in Green at 1% compared to 0% in Danube.
- Danube has a higher percentage of Hispanic residents at 5%, compared to 1% in Green.
- More residents identify as two or more races in Green at 3% compared to 0% in Danube.
- The percentage of American Indian residents is the same in both Green and Danube at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Danube |
|---|---|---|
| Mental Health Not Good | 16.6% | 15.2% |
| Physical Health Not Good | 10.5% | 9.9% |
| Depression | 24.7% | 23.3% |
| Smoking | 17.4% | 18.5% |
| Binge Drinking | 19.1% | 19.6% |
| Obesity | 40.2% | 37.8% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Green vs Danube
- More residents in Green report poor mental health at 16.6% compared to 15.2% in Danube.
- Depression is more prevalent in Green at 24.7% compared to 23.3% in Danube.
- Danube has a higher smoking rate at 18.5% compared to 17.4% in Green.
- More residents engage in binge drinking in Danube at 19.6% compared to 19.1% in Green.
- Obesity rates are higher in Green at 40.2% compared to 37.8% in Danube.
- There is a higher percentage of disabled individuals in Danube at 12.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | Danube |
|---|---|---|
| No Schooling | 0.2% (46) | 0.0% (Data is updating) |
| High School Diploma | 16.6% (4,514) | 19.3% (87) |
| Less than High School | 3.0% (828) | 10.4% (47) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 5.8% (26) |
Education Levels Comparison: Green vs Danube
- A higher percentage of residents in Green have no formal schooling at 0.2% compared to 0.0% in Danube.
- In Danube, the rate of residents with high school diplomas is higher at 19.3% compared to 16.6% in Green.
- The percentage of residents with less than a high school education is higher in Danube at 10.4%, compared to 3.0% in Green.
- A higher percentage of residents in Green hold a bachelor's degree or higher at 29.3% 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.