Demographics details for Mentor, MN vs Cottonwood, ID
Population Overview
Compare main population characteristics in Mentor, MN vs Cottonwood, ID.
| Data | Mentor | Cottonwood |
|---|---|---|
| Population | 105 | 876 |
| Median Age | 52.5 years | 33.1 years |
| Median Income | $39,583 | $55,147 |
| Married Families | 54.0% | 56.0% |
| Poverty Level | Data is updating | Data is updating |
| Unemployment Rate | 2.5 | 2.5 |
Population Comparison: Mentor vs Cottonwood
- The population in Cottonwood is higher at 876, compared to 105 in Mentor.
- Residents in Mentor have a higher median age of 52.5 years compared to 33.1 years in Cottonwood.
- Cottonwood has a higher median income of $55,147, compared to $39,583 in Mentor.
- In Cottonwood, the percentage of married families is higher at 56.0%, compared to 54.0% in Mentor.
- The poverty level is identical in both Mentor and Cottonwood at 0%.
- The unemployment rate is the same in both Mentor and Cottonwood at 2.5%.
Demographics
Demographics Mentor vs Cottonwood provide insight into the diversity of the communities to compare.
| Demographic | Mentor | Cottonwood |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 92 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 1 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mentor vs Cottonwood
- The percentage of Black residents is the same in both Mentor and Cottonwood at 0%.
- Mentor has a higher percentage of White residents at 100% compared to 92% in Cottonwood.
- Both Mentor and Cottonwood have the same percentage of Asian residents at 0%.
- Cottonwood has a higher percentage of Hispanic residents at 1%, compared to 0% in Mentor.
- The percentage of residents identifying as two or more races is higher in Cottonwood at 6%, compared to 0% in Mentor.
- In Cottonwood, the percentage of American Indian residents is higher at 1%, compared to 0% in Mentor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mentor | Cottonwood |
|---|---|---|
| Mental Health Not Good | 15.5% | 15.8% |
| Physical Health Not Good | 9.9% | 11.9% |
| Depression | 24.4% | 22.3% |
| Smoking | 19.6% | 17.8% |
| Binge Drinking | 21.8% | 15.7% |
| Obesity | 39.7% | 31.2% |
| Disability Percentage | 19.0% | 18.0% |
Health Statistics Comparison: Mentor vs Cottonwood
- In Cottonwood, a higher percentage report poor mental health at 15.8% compared to 15.5% in Mentor.
- Depression is more prevalent in Mentor at 24.4% compared to 22.3% in Cottonwood.
- Smoking is more prevalent in Mentor at 19.6% compared to 17.8% in Cottonwood.
- Binge drinking is more common in Mentor at 21.8% compared to 15.7% in Cottonwood.
- Obesity rates are higher in Mentor at 39.7% compared to 31.2% in Cottonwood.
- Disability percentages are higher in Mentor at 19.0% compared to 18.0% in Cottonwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mentor | Cottonwood |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 43.8% (46) | 28.3% (248) |
| Less than High School | 30.5% (32) | 19.6% (172) |
| Bachelor's Degree and Higher | 6.7% (7) | 20.2% (177) |
Education Levels Comparison: Mentor vs Cottonwood
- The percentage of residents with no formal schooling is the same in both Mentor and Cottonwood at 0.0%.
- A higher percentage of residents in Mentor hold a high school diploma at 43.8% compared to 28.3% in Cottonwood.
- More residents in Mentor have less than a high school education at 30.5% compared to 19.6% in Cottonwood.
- In Cottonwood, a larger share of residents have a bachelor's degree or higher at 20.2% compared to 6.7% in Mentor.
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.