Demographics details for Green, OH vs Richville, MN
Population Overview
Compare main population characteristics in Green, OH vs Richville, MN.
| Data | Green | Richville |
|---|---|---|
| Population | 27,269 | 77 |
| Median Age | 41.1 years | 46.5 years |
| Median Income | $90,419 | $68,750 |
| Married Families | 45.0% | 23.0% |
| Poverty Level | 4% | 9% |
| Unemployment Rate | 4.7 | 3.5 |
Population Comparison: Green vs Richville
- In Green, the population is higher at 27,269, compared to 77 in Richville.
- The median age in Richville is higher at 46.5 years, compared to 41.1 years in Green.
- Green has a higher median income of $90,419 compared to $68,750 in Richville.
- A higher percentage of married families is found in Green at 45.0% compared to 23.0% in Richville.
- The poverty level is higher in Richville at 9%, compared to 4% in Green.
- The unemployment rate in Green is higher at 4.7%, compared to 3.5% in Richville.
Demographics
Demographics Green vs Richville provide insight into the diversity of the communities to compare.
| Demographic | Green | Richville |
|---|---|---|
| Black | 1 | Data is updating |
| White | 94 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Richville
- A higher percentage of Black residents are in Green at 1% compared to 0% in Richville.
- The percentage of White residents is higher in Richville at 100% compared to 94% in Green.
- The Asian population is larger in Green at 1% compared to 0% in Richville.
- The Hispanic community is larger in Green at 1% compared to 0% in Richville.
- More residents identify as two or more races in Green at 3% compared to 0% in Richville.
- The percentage of American Indian residents is the same in both Green and Richville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Richville |
|---|---|---|
| Mental Health Not Good | 16.6% | 15.8% |
| Physical Health Not Good | 10.5% | 10.4% |
| Depression | 24.7% | 23.8% |
| Smoking | 17.4% | 19.8% |
| Binge Drinking | 19.1% | 20.1% |
| Obesity | 40.2% | 38.1% |
| Disability Percentage | 9.0% | 22.0% |
Health Statistics Comparison: Green vs Richville
- More residents in Green report poor mental health at 16.6% compared to 15.8% in Richville.
- Depression is more prevalent in Green at 24.7% compared to 23.8% in Richville.
- Richville has a higher smoking rate at 19.8% compared to 17.4% in Green.
- More residents engage in binge drinking in Richville at 20.1% compared to 19.1% in Green.
- Obesity rates are higher in Green at 40.2% compared to 38.1% in Richville.
- There is a higher percentage of disabled individuals in Richville at 22.0% 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 | Richville |
|---|---|---|
| No Schooling | 0.2% (46) | 0.0% (Data is updating) |
| High School Diploma | 16.6% (4,514) | 2.6% (2) |
| Less than High School | 3.0% (828) | 13.0% (10) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 1.3% (1) |
Education Levels Comparison: Green vs Richville
- A higher percentage of residents in Green have no formal schooling at 0.2% compared to 0.0% in Richville.
- A higher percentage of residents in Green hold a high school diploma at 16.6% compared to 2.6% in Richville.
- The percentage of residents with less than a high school education is higher in Richville at 13.0%, 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 1.3% in Richville.
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.