Demographics details for Columbus, KS vs Mountain grove, MO
Population Overview
Compare main population characteristics in Columbus, KS vs Mountain grove, MO.
| Data | Columbus | Mountain grove |
|---|---|---|
| Population | 2,880 | 4,551 |
| Median Age | 40.9 years | 42.3 years |
| Median Income | $39,777 | $38,103 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Columbus vs Mountain grove
- The population in Mountain grove is higher at 4,551, compared to 2,880 in Columbus.
- The median age in Mountain grove is higher at 42.3 years, compared to 40.9 years in Columbus.
- Columbus has a higher median income of $39,777 compared to $38,103 in Mountain grove.
- The percentage of married families is the same in both Columbus and Mountain grove at 35.0%.
- The poverty level is higher in Mountain grove at 15%, compared to 10% in Columbus.
- Mountain grove has a higher unemployment rate at 4.5% compared to 3.5% in Columbus.
Demographics
Demographics Columbus vs Mountain grove provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Mountain grove |
|---|---|---|
| Black | 4 | Data is updating |
| White | 86 | 89 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 2 |
| Two or More Races | 9 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Columbus vs Mountain grove
- A higher percentage of Black residents are in Columbus at 4% compared to 0% in Mountain grove.
- The percentage of White residents is higher in Mountain grove at 89% compared to 86% in Columbus.
- In Mountain grove, the Asian population stands at 1%, greater than 0% in Columbus.
- Mountain grove has a higher percentage of Hispanic residents at 2%, compared to 0% in Columbus.
- More residents identify as two or more races in Columbus at 9% compared to 8% in Mountain grove.
- A greater percentage of American Indian residents live in Columbus at 1% compared to 0% in Mountain grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Mountain grove |
|---|---|---|
| Mental Health Not Good | 17.4% | 22.5% |
| Physical Health Not Good | 11.6% | 18.1% |
| Depression | 22.6% | 28.4% |
| Smoking | 20.2% | 31.2% |
| Binge Drinking | 17.3% | 14.8% |
| Obesity | 42.3% | 44.6% |
| Disability Percentage | 34.0% | 24.0% |
Health Statistics Comparison: Columbus vs Mountain grove
- In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 17.4% in Columbus.
- Higher depression rates are seen in Mountain grove at 28.4% versus 22.6% in Columbus.
- Mountain grove has a higher smoking rate at 31.2% compared to 20.2% in Columbus.
- Binge drinking is more common in Columbus at 17.3% compared to 14.8% in Mountain grove.
- Mountain grove has higher obesity rates at 44.6% compared to 42.3% in Columbus.
- Disability percentages are higher in Columbus at 34.0% compared to 24.0% in Mountain grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Mountain grove |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (26) |
| High School Diploma | 25.3% (729) | 27.6% (1,256) |
| Less than High School | 12.7% (367) | 23.2% (1,057) |
| Bachelor's Degree and Higher | 16.0% (460) | 8.8% (400) |
Education Levels Comparison: Columbus vs Mountain grove
- In Mountain grove, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Columbus.
- In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 25.3% in Columbus.
- The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 12.7% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 16.0% compared to 8.8% in Mountain grove.
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.