Demographics details for Columbus, MS vs Towner, ND
Population Overview
Compare main population characteristics in Columbus, MS vs Towner, ND.
| Data | Columbus | Towner |
|---|---|---|
| Population | 23,273 | 2,064 |
| Median Age | 38.5 years | 49.1 years |
| Median Income | $38,954 | $61,250 |
| Married Families | 25.0% | 47.0% |
| Poverty Level | 19% | Data is updating |
| Unemployment Rate | 3.8 | 2.7 |
Population Comparison: Columbus vs Towner
- In Columbus, the population is higher at 23,273, compared to 2,064 in Towner.
- The median age in Towner is higher at 49.1 years, compared to 38.5 years in Columbus.
- Towner has a higher median income of $61,250, compared to $38,954 in Columbus.
- In Towner, the percentage of married families is higher at 47.0%, compared to 25.0% in Columbus.
- Columbus has a higher poverty level at 19% compared to 0% in Towner.
- The unemployment rate in Columbus is higher at 3.8%, compared to 2.7% in Towner.
Demographics
Demographics Columbus vs Towner provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Towner |
|---|---|---|
| Black | 66 | Data is updating |
| White | 28 | 84 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 4 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | 7 |
Demographics Comparison: Columbus vs Towner
- A higher percentage of Black residents are in Columbus at 66% compared to 0% in Towner.
- The percentage of White residents is higher in Towner at 84% compared to 28% in Columbus.
- The Asian population is larger in Columbus at 2% compared to 0% in Towner.
- Towner has a higher percentage of Hispanic residents at 4%, compared to 2% in Columbus.
- The percentage of residents identifying as two or more races is higher in Towner at 5%, compared to 2% in Columbus.
- In Towner, the percentage of American Indian residents is higher at 7%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Towner |
|---|---|---|
| Mental Health Not Good | 17.4% | 15.3% |
| Physical Health Not Good | 13.6% | 11.0% |
| Depression | 20.0% | 19.9% |
| Smoking | 21.0% | 19.6% |
| Binge Drinking | 11.8% | 20.8% |
| Obesity | 44.8% | 38.2% |
| Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Columbus vs Towner
- More residents in Columbus report poor mental health at 17.4% compared to 15.3% in Towner.
- Depression is more prevalent in Columbus at 20.0% compared to 19.9% in Towner.
- Smoking is more prevalent in Columbus at 21.0% compared to 19.6% in Towner.
- More residents engage in binge drinking in Towner at 20.8% compared to 11.8% in Columbus.
- Obesity rates are higher in Columbus at 44.8% compared to 38.2% in Towner.
- There is a higher percentage of disabled individuals in Towner at 18.0% 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 | Towner |
|---|---|---|
| No Schooling | 1.1% (260) | 3.7% (77) |
| High School Diploma | 18.4% (4,272) | 18.4% (379) |
| Less than High School | 11.0% (2,559) | 20.1% (415) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 12.9% (267) |
Education Levels Comparison: Columbus vs Towner
- In Towner, a larger percentage of residents lack formal schooling at 3.7% compared to 1.1% in Columbus.
- Both cities have the same percentage of residents with high school diplomas at 18.4%.
- The percentage of residents with less than a high school education is higher in Towner at 20.1%, compared to 11.0% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% compared to 12.9% in Towner.
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.