Demographics details for Green, OH vs Zumbro falls, MN
Population Overview
Compare main population characteristics in Green, OH vs Zumbro falls, MN.
| Data | Green | Zumbro falls |
|---|---|---|
| Population | 27,269 | 155 |
| Median Age | 41.1 years | 36.6 years |
| Median Income | $90,419 | $84,750 |
| Married Families | 45.0% | 46.0% |
| Poverty Level | 4% | Data is updating |
| Unemployment Rate | 4.7 | 2.5 |
Population Comparison: Green vs Zumbro falls
- In Green, the population is higher at 27,269, compared to 155 in Zumbro falls.
- Residents in Green have a higher median age of 41.1 years compared to 36.6 years in Zumbro falls.
- Green has a higher median income of $90,419 compared to $84,750 in Zumbro falls.
- In Zumbro falls, the percentage of married families is higher at 46.0%, compared to 45.0% in Green.
- Green has a higher poverty level at 4% compared to 0% in Zumbro falls.
- The unemployment rate in Green is higher at 4.7%, compared to 2.5% in Zumbro falls.
Demographics
Demographics Green vs Zumbro falls provide insight into the diversity of the communities to compare.
| Demographic | Green | Zumbro falls |
|---|---|---|
| Black | 1 | Data is updating |
| White | 94 | 99 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 3 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Zumbro falls
- A higher percentage of Black residents are in Green at 1% compared to 0% in Zumbro falls.
- The percentage of White residents is higher in Zumbro falls at 99% compared to 94% in Green.
- The Asian population is larger in Green at 1% compared to 0% in Zumbro falls.
- The Hispanic community is larger in Green at 1% compared to 0% in Zumbro falls.
- More residents identify as two or more races in Green at 3% compared to 1% in Zumbro falls.
- The percentage of American Indian residents is the same in both Green and Zumbro falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Zumbro falls |
|---|---|---|
| Mental Health Not Good | 16.6% | 14.4% |
| Physical Health Not Good | 10.5% | 8.8% |
| Depression | 24.7% | 23.3% |
| Smoking | 17.4% | 17.2% |
| Binge Drinking | 19.1% | 21.7% |
| Obesity | 40.2% | 36.5% |
| Disability Percentage | 9.0% | 5.0% |
Health Statistics Comparison: Green vs Zumbro falls
- More residents in Green report poor mental health at 16.6% compared to 14.4% in Zumbro falls.
- Depression is more prevalent in Green at 24.7% compared to 23.3% in Zumbro falls.
- Smoking is more prevalent in Green at 17.4% compared to 17.2% in Zumbro falls.
- More residents engage in binge drinking in Zumbro falls at 21.7% compared to 19.1% in Green.
- Obesity rates are higher in Green at 40.2% compared to 36.5% in Zumbro falls.
- Disability percentages are higher in Green at 9.0% compared to 5.0% in Zumbro falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | Zumbro falls |
|---|---|---|
| No Schooling | 0.2% (46) | 0.0% (Data is updating) |
| High School Diploma | 16.6% (4,514) | 17.4% (27) |
| Less than High School | 3.0% (828) | 1.3% (2) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 21.9% (34) |
Education Levels Comparison: Green vs Zumbro falls
- A higher percentage of residents in Green have no formal schooling at 0.2% compared to 0.0% in Zumbro falls.
- In Zumbro falls, the rate of residents with high school diplomas is higher at 17.4% compared to 16.6% in Green.
- More residents in Green have less than a high school education at 3.0% compared to 1.3% in Zumbro falls.
- A higher percentage of residents in Green hold a bachelor's degree or higher at 29.3% compared to 21.9% in Zumbro falls.
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.