Demographics details for Columbus, MS vs Darwin, MN
Population Overview
Compare main population characteristics in Columbus, MS vs Darwin, MN.
| Data | Columbus | Darwin |
|---|---|---|
| Population | 23,273 | 344 |
| Median Age | 38.5 years | 34.8 years |
| Median Income | $38,954 | $62,083 |
| Married Families | 25.0% | 37.0% |
| Poverty Level | 19% | 5% |
| Unemployment Rate | 3.8 | 3.2 |
Population Comparison: Columbus vs Darwin
- In Columbus, the population is higher at 23,273, compared to 344 in Darwin.
- Residents in Columbus have a higher median age of 38.5 years compared to 34.8 years in Darwin.
- Darwin has a higher median income of $62,083, compared to $38,954 in Columbus.
- In Darwin, the percentage of married families is higher at 37.0%, compared to 25.0% in Columbus.
- Columbus has a higher poverty level at 19% compared to 5% in Darwin.
- The unemployment rate in Columbus is higher at 3.8%, compared to 3.2% in Darwin.
Demographics
Demographics Columbus vs Darwin provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Darwin |
|---|---|---|
| Black | 66 | Data is updating |
| White | 28 | 90 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 9 |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Darwin
- A higher percentage of Black residents are in Columbus at 66% compared to 0% in Darwin.
- The percentage of White residents is higher in Darwin at 90% compared to 28% in Columbus.
- The Asian population is larger in Columbus at 2% compared to 0% in Darwin.
- Darwin has a higher percentage of Hispanic residents at 9%, compared to 2% in Columbus.
- More residents identify as two or more races in Columbus at 2% compared to 1% in Darwin.
- The percentage of American Indian residents is the same in both Columbus and Darwin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Darwin |
|---|---|---|
| Mental Health Not Good | 17.4% | 14.7% |
| Physical Health Not Good | 13.6% | 8.8% |
| Depression | 20.0% | 23.2% |
| Smoking | 21.0% | 17.5% |
| Binge Drinking | 11.8% | 22.3% |
| Obesity | 44.8% | 32.7% |
| Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: Columbus vs Darwin
- More residents in Columbus report poor mental health at 17.4% compared to 14.7% in Darwin.
- Higher depression rates are seen in Darwin at 23.2% versus 20.0% in Columbus.
- Smoking is more prevalent in Columbus at 21.0% compared to 17.5% in Darwin.
- More residents engage in binge drinking in Darwin at 22.3% compared to 11.8% in Columbus.
- Obesity rates are higher in Columbus at 44.8% compared to 32.7% in Darwin.
- There is a higher percentage of disabled individuals in Darwin at 19.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Darwin |
|---|---|---|
| No Schooling | 1.1% (260) | 1.7% (6) |
| High School Diploma | 18.4% (4,272) | 20.9% (72) |
| Less than High School | 11.0% (2,559) | 9.3% (32) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 11.9% (41) |
Education Levels Comparison: Columbus vs Darwin
- In Darwin, a larger percentage of residents lack formal schooling at 1.7% compared to 1.1% in Columbus.
- In Darwin, the rate of residents with high school diplomas is higher at 20.9% compared to 18.4% in Columbus.
- More residents in Columbus have less than a high school education at 11.0% compared to 9.3% in Darwin.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% compared to 11.9% in Darwin.
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.