Demographics details for River falls, WI vs Green, OH
Population Overview
Compare main population characteristics in River falls, WI vs Green, OH.
| Data | River falls | Green |
|---|---|---|
| Population | 16,609 | 27,269 |
| Median Age | 26.8 years | 41.1 years |
| Median Income | $72,247 | $90,419 |
| Married Families | 29.0% | 45.0% |
| Poverty Level | 7% | 4% |
| Unemployment Rate | 2.5 | 4.7 |
Population Comparison: River falls vs Green
- The population in Green is higher at 27,269, compared to 16,609 in River falls.
- The median age in Green is higher at 41.1 years, compared to 26.8 years in River falls.
- Green has a higher median income of $90,419, compared to $72,247 in River falls.
- In Green, the percentage of married families is higher at 45.0%, compared to 29.0% in River falls.
- River falls has a higher poverty level at 7% compared to 4% in Green.
- Green has a higher unemployment rate at 4.7% compared to 2.5% in River falls.
Demographics
Demographics River falls vs Green provide insight into the diversity of the communities to compare.
| Demographic | River falls | Green |
|---|---|---|
| Black | 1 | 1 |
| White | 91 | 94 |
| Asian | 2 | 1 |
| Hispanic | 2 | 1 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: River falls vs Green
- The percentage of Black residents is the same in both River falls and Green at 1%.
- The percentage of White residents is higher in Green at 94% compared to 91% in River falls.
- The Asian population is larger in River falls at 2% compared to 1% in Green.
- The Hispanic community is larger in River falls at 2% compared to 1% in Green.
- More residents identify as two or more races in River falls at 4% compared to 3% in Green.
- The percentage of American Indian residents is the same in both River falls and Green at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | River falls | Green |
|---|---|---|
| Mental Health Not Good | 15.0% | 16.6% |
| Physical Health Not Good | 9.6% | 10.5% |
| Depression | 23.6% | 24.7% |
| Smoking | 14.7% | 17.4% |
| Binge Drinking | 24.3% | 19.1% |
| Obesity | 35.7% | 40.2% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: River falls vs Green
- In Green, a higher percentage report poor mental health at 16.6% compared to 15.0% in River falls.
- Higher depression rates are seen in Green at 24.7% versus 23.6% in River falls.
- Green has a higher smoking rate at 17.4% compared to 14.7% in River falls.
- Binge drinking is more common in River falls at 24.3% compared to 19.1% in Green.
- Green has higher obesity rates at 40.2% compared to 35.7% in River falls.
- Disability percentages are the same in both River falls and Green at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | River falls | Green |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (46) |
| High School Diploma | 8.9% (1,480) | 16.6% (4,514) |
| Less than High School | 2.6% (439) | 3.0% (828) |
| Bachelor's Degree and Higher | 21.9% (3,640) | 29.3% (7,977) |
Education Levels Comparison: River falls vs Green
- In Green, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in River falls.
- In Green, the rate of residents with high school diplomas is higher at 16.6% compared to 8.9% in River falls.
- The percentage of residents with less than a high school education is higher in Green at 3.0%, compared to 2.6% in River falls.
- In Green, a larger share of residents have a bachelor's degree or higher at 29.3% compared to 21.9% in River 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.