Demographics details for Danube, MN vs Fairborn, OH
Population Overview
Compare main population characteristics in Danube, MN vs Fairborn, OH.
| Data | Danube | Fairborn |
|---|---|---|
| Population | 450 | 34,977 |
| Median Age | 36.0 years | 35.1 years |
| Median Income | $57,083 | $53,783 |
| Married Families | 41.0% | 33.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 4.2 | 5.1 |
Population Comparison: Danube vs Fairborn
- The population in Fairborn is higher at 34,977, compared to 450 in Danube.
- Residents in Danube have a higher median age of 36.0 years compared to 35.1 years in Fairborn.
- Danube has a higher median income of $57,083 compared to $53,783 in Fairborn.
- A higher percentage of married families is found in Danube at 41.0% compared to 33.0% in Fairborn.
- The poverty level is higher in Fairborn at 9%, compared to 5% in Danube.
- Fairborn has a higher unemployment rate at 5.1% compared to 4.2% in Danube.
Demographics
Demographics Danube vs Fairborn provide insight into the diversity of the communities to compare.
| Demographic | Danube | Fairborn |
|---|---|---|
| Black | Data is updating | 9 |
| White | 95 | 78 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 4 |
| Two or More Races | Data is updating | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Danube vs Fairborn
- In Fairborn, the percentage of Black residents is higher at 9% compared to 0% in Danube.
- Danube has a higher percentage of White residents at 95% compared to 78% in Fairborn.
- In Fairborn, the Asian population stands at 1%, greater than 0% in Danube.
- The Hispanic community is larger in Danube at 5% compared to 4% in Fairborn.
- The percentage of residents identifying as two or more races is higher in Fairborn at 8%, compared to 0% in Danube.
- The percentage of American Indian residents is the same in both Danube and Fairborn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danube | Fairborn |
|---|---|---|
| Mental Health Not Good | 15.2% | 18.3% |
| Physical Health Not Good | 9.9% | 12.4% |
| Depression | 23.3% | 23.4% |
| Smoking | 18.5% | 20.5% |
| Binge Drinking | 19.6% | 16.3% |
| Obesity | 37.8% | 39.7% |
| Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Danube vs Fairborn
- In Fairborn, a higher percentage report poor mental health at 18.3% compared to 15.2% in Danube.
- Higher depression rates are seen in Fairborn at 23.4% versus 23.3% in Danube.
- Fairborn has a higher smoking rate at 20.5% compared to 18.5% in Danube.
- Binge drinking is more common in Danube at 19.6% compared to 16.3% in Fairborn.
- Fairborn has higher obesity rates at 39.7% compared to 37.8% in Danube.
- There is a higher percentage of disabled individuals in Fairborn at 16.0% 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 | Fairborn |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (116) |
| High School Diploma | 19.3% (87) | 13.2% (4,620) |
| Less than High School | 10.4% (47) | 12.5% (4,382) |
| Bachelor's Degree and Higher | 5.8% (26) | 19.4% (6,782) |
Education Levels Comparison: Danube vs Fairborn
- In Fairborn, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Danube.
- A higher percentage of residents in Danube hold a high school diploma at 19.3% compared to 13.2% in Fairborn.
- The percentage of residents with less than a high school education is higher in Fairborn at 12.5%, compared to 10.4% in Danube.
- In Fairborn, a larger share of residents have a bachelor's degree or higher at 19.4% 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.