Demographics details for Menahga, MN vs Everest, KS
Population Overview
Compare main population characteristics in Menahga, MN vs Everest, KS.
| Data | Menahga | Everest |
|---|---|---|
| Population | 1,344 | 258 |
| Median Age | 44.2 years | 34.5 years |
| Median Income | $54,167 | $44,375 |
| Married Families | 29.0% | 50.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Menahga vs Everest
- In Menahga, the population is higher at 1,344, compared to 258 in Everest.
- Residents in Menahga have a higher median age of 44.2 years compared to 34.5 years in Everest.
- Menahga has a higher median income of $54,167 compared to $44,375 in Everest.
- In Everest, the percentage of married families is higher at 50.0%, compared to 29.0% in Menahga.
- The poverty level is higher in Everest at 11%, compared to 9% in Menahga.
- Everest has a higher unemployment rate at 3.5% compared to 3.0% in Menahga.
Demographics
Demographics Menahga vs Everest provide insight into the diversity of the communities to compare.
| Demographic | Menahga | Everest |
|---|---|---|
| Black | Data is updating | 2 |
| White | 95 | 90 |
| Asian | 2 | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Menahga vs Everest
- In Everest, the percentage of Black residents is higher at 2% compared to 0% in Menahga.
- Menahga has a higher percentage of White residents at 95% compared to 90% in Everest.
- The Asian population is larger in Menahga at 2% compared to 0% in Everest.
- The percentage of Hispanic residents is the same in both Menahga and Everest at 0%.
- The percentage of residents identifying as two or more races is higher in Everest at 6%, compared to 3% in Menahga.
- In Everest, the percentage of American Indian residents is higher at 2%, compared to 0% in Menahga.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Menahga | Everest |
|---|---|---|
| Mental Health Not Good | 16.3% | 17.3% |
| Physical Health Not Good | 10.6% | 11.2% |
| Depression | 24.2% | 22.4% |
| Smoking | 20.7% | 20.4% |
| Binge Drinking | 19.3% | 19.1% |
| Obesity | 40.4% | 37.8% |
| Disability Percentage | 16.0% | 50.0% |
Health Statistics Comparison: Menahga vs Everest
- In Everest, a higher percentage report poor mental health at 17.3% compared to 16.3% in Menahga.
- Depression is more prevalent in Menahga at 24.2% compared to 22.4% in Everest.
- Smoking is more prevalent in Menahga at 20.7% compared to 20.4% in Everest.
- Binge drinking is more common in Menahga at 19.3% compared to 19.1% in Everest.
- Obesity rates are higher in Menahga at 40.4% compared to 37.8% in Everest.
- There is a higher percentage of disabled individuals in Everest at 50.0% compared to 16.0% in Menahga.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Menahga | Everest |
|---|---|---|
| No Schooling | 0.2% (3) | 0.0% (Data is updating) |
| High School Diploma | 18.5% (249) | 26.4% (68) |
| Less than High School | 11.0% (148) | 17.8% (46) |
| Bachelor's Degree and Higher | 15.9% (214) | 36.8% (95) |
Education Levels Comparison: Menahga vs Everest
- A higher percentage of residents in Menahga have no formal schooling at 0.2% compared to 0.0% in Everest.
- In Everest, the rate of residents with high school diplomas is higher at 26.4% compared to 18.5% in Menahga.
- The percentage of residents with less than a high school education is higher in Everest at 17.8%, compared to 11.0% in Menahga.
- In Everest, a larger share of residents have a bachelor's degree or higher at 36.8% compared to 15.9% in Menahga.
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.