Demographics details for River falls, WI vs Coleman, OK
Population Overview
Compare main population characteristics in River falls, WI vs Coleman, OK.
| Data | River falls | Coleman |
|---|---|---|
| Population | 16,609 | 297 |
| Median Age | 26.8 years | 39.7 years |
| Median Income | $72,247 | $45,938 |
| Married Families | 29.0% | 35.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: River falls vs Coleman
- In River falls, the population is higher at 16,609, compared to 297 in Coleman.
- The median age in Coleman is higher at 39.7 years, compared to 26.8 years in River falls.
- River falls has a higher median income of $72,247 compared to $45,938 in Coleman.
- In Coleman, the percentage of married families is higher at 35.0%, compared to 29.0% in River falls.
- The poverty level is higher in Coleman at 12%, compared to 7% in River falls.
- Coleman has a higher unemployment rate at 3.5% compared to 2.5% in River falls.
Demographics
Demographics River falls vs Coleman provide insight into the diversity of the communities to compare.
| Demographic | River falls | Coleman |
|---|---|---|
| Black | 1 | 2 |
| White | 91 | 77 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 1 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | 11 |
Demographics Comparison: River falls vs Coleman
- In Coleman, the percentage of Black residents is higher at 2% compared to 1% in River falls.
- River falls has a higher percentage of White residents at 91% compared to 77% in Coleman.
- The Asian population is larger in River falls at 2% compared to 0% in Coleman.
- The Hispanic community is larger in River falls at 2% compared to 1% in Coleman.
- The percentage of residents identifying as two or more races is higher in Coleman at 9%, compared to 4% in River falls.
- In Coleman, the percentage of American Indian residents is higher at 11%, compared to 0% in River falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | River falls | Coleman |
|---|---|---|
| Mental Health Not Good | 15.0% | 19.9% |
| Physical Health Not Good | 9.6% | 13.9% |
| Depression | 23.6% | 26.9% |
| Smoking | 14.7% | 22.9% |
| Binge Drinking | 24.3% | 14.8% |
| Obesity | 35.7% | 40.8% |
| Disability Percentage | 9.0% | 29.0% |
Health Statistics Comparison: River falls vs Coleman
- In Coleman, a higher percentage report poor mental health at 19.9% compared to 15.0% in River falls.
- Higher depression rates are seen in Coleman at 26.9% versus 23.6% in River falls.
- Coleman has a higher smoking rate at 22.9% compared to 14.7% in River falls.
- Binge drinking is more common in River falls at 24.3% compared to 14.8% in Coleman.
- Coleman has higher obesity rates at 40.8% compared to 35.7% in River falls.
- There is a higher percentage of disabled individuals in Coleman at 29.0% compared to 9.0% in River falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | River falls | Coleman |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 8.9% (1,480) | 28.6% (85) |
| Less than High School | 2.6% (439) | 4.0% (12) |
| Bachelor's Degree and Higher | 21.9% (3,640) | 11.1% (33) |
Education Levels Comparison: River falls vs Coleman
- The percentage of residents with no formal schooling is the same in both River falls and Coleman at 0.0%.
- In Coleman, the rate of residents with high school diplomas is higher at 28.6% compared to 8.9% in River falls.
- The percentage of residents with less than a high school education is higher in Coleman at 4.0%, compared to 2.6% in River falls.
- A higher percentage of residents in River falls hold a bachelor's degree or higher at 21.9% compared to 11.1% in Coleman.
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.