Demographics details for Columbus, TX vs Stewart, MN
Population Overview
Compare main population characteristics in Columbus, TX vs Stewart, MN.
| Data | Columbus | Stewart |
|---|---|---|
| Population | 3,714 | 474 |
| Median Age | 47.0 years | 36.9 years |
| Median Income | $56,250 | $52,813 |
| Married Families | 41.0% | 43.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Columbus vs Stewart
- In Columbus, the population is higher at 3,714, compared to 474 in Stewart.
- Residents in Columbus have a higher median age of 47.0 years compared to 36.9 years in Stewart.
- Columbus has a higher median income of $56,250 compared to $52,813 in Stewart.
- In Stewart, the percentage of married families is higher at 43.0%, compared to 41.0% in Columbus.
- Columbus has a higher poverty level at 12% compared to 0% in Stewart.
- The unemployment rate in Columbus is higher at 5.0%, compared to 3.5% in Stewart.
Demographics
Demographics Columbus vs Stewart provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Stewart |
|---|---|---|
| Black | 16 | Data is updating |
| White | 58 | 70 |
| Asian | 1 | Data is updating |
| Hispanic | 20 | 24 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Stewart
- A higher percentage of Black residents are in Columbus at 16% compared to 0% in Stewart.
- The percentage of White residents is higher in Stewart at 70% compared to 58% in Columbus.
- The Asian population is larger in Columbus at 1% compared to 0% in Stewart.
- Stewart has a higher percentage of Hispanic residents at 24%, compared to 20% in Columbus.
- The percentage of residents identifying as two or more races is higher in Stewart at 6%, compared to 5% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Stewart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Stewart |
|---|---|---|
| Mental Health Not Good | 16.4% | 15.1% |
| Physical Health Not Good | 11.0% | 9.6% |
| Depression | 21.8% | 23.1% |
| Smoking | 15.6% | 19.3% |
| Binge Drinking | 18.5% | 20.3% |
| Obesity | 36.4% | 38.6% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Columbus vs Stewart
- More residents in Columbus report poor mental health at 16.4% compared to 15.1% in Stewart.
- Higher depression rates are seen in Stewart at 23.1% versus 21.8% in Columbus.
- Stewart has a higher smoking rate at 19.3% compared to 15.6% in Columbus.
- More residents engage in binge drinking in Stewart at 20.3% compared to 18.5% in Columbus.
- Stewart has higher obesity rates at 38.6% compared to 36.4% in Columbus.
- There is a higher percentage of disabled individuals in Stewart at 20.0% compared to 10.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Stewart |
|---|---|---|
| No Schooling | 2.3% (87) | 0.0% (Data is updating) |
| High School Diploma | 25.1% (934) | 30.8% (146) |
| Less than High School | 18.8% (699) | 13.1% (62) |
| Bachelor's Degree and Higher | 19.1% (710) | 2.5% (12) |
Education Levels Comparison: Columbus vs Stewart
- A higher percentage of residents in Columbus have no formal schooling at 2.3% compared to 0.0% in Stewart.
- In Stewart, the rate of residents with high school diplomas is higher at 30.8% compared to 25.1% in Columbus.
- More residents in Columbus have less than a high school education at 18.8% compared to 13.1% in Stewart.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 19.1% compared to 2.5% in Stewart.
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.