Demographics details for Columbus, MS vs Upton, WY
Population Overview
Compare main population characteristics in Columbus, MS vs Upton, WY.
| Data | Columbus | Upton |
|---|---|---|
| Population | 23,273 | 900 |
| Median Age | 38.5 years | 50.4 years |
| Median Income | $38,954 | $65,664 |
| Married Families | 25.0% | 50.0% |
| Poverty Level | 19% | Data is updating |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Columbus vs Upton
- In Columbus, the population is higher at 23,273, compared to 900 in Upton.
- The median age in Upton is higher at 50.4 years, compared to 38.5 years in Columbus.
- Upton has a higher median income of $65,664, compared to $38,954 in Columbus.
- In Upton, the percentage of married families is higher at 50.0%, compared to 25.0% in Columbus.
- Columbus has a higher poverty level at 19% compared to 0% in Upton.
- The unemployment rate in Columbus is higher at 3.8%, compared to 3.5% in Upton.
Demographics
Demographics Columbus vs Upton provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Upton |
|---|---|---|
| Black | 66 | Data is updating |
| White | 28 | 90 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Upton
- A higher percentage of Black residents are in Columbus at 66% compared to 0% in Upton.
- The percentage of White residents is higher in Upton at 90% compared to 28% in Columbus.
- The Asian population is larger in Columbus at 2% compared to 0% in Upton.
- The percentage of Hispanic residents is the same in both Columbus and Upton at 2%.
- The percentage of residents identifying as two or more races is higher in Upton at 8%, compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Upton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Upton |
|---|---|---|
| Mental Health Not Good | 17.4% | 16.4% |
| Physical Health Not Good | 13.6% | 11.5% |
| Depression | 20.0% | 21.4% |
| Smoking | 21.0% | 20.3% |
| Binge Drinking | 11.8% | 17.7% |
| Obesity | 44.8% | 34.9% |
| Disability Percentage | 12.0% | 23.0% |
Health Statistics Comparison: Columbus vs Upton
- More residents in Columbus report poor mental health at 17.4% compared to 16.4% in Upton.
- Higher depression rates are seen in Upton at 21.4% versus 20.0% in Columbus.
- Smoking is more prevalent in Columbus at 21.0% compared to 20.3% in Upton.
- More residents engage in binge drinking in Upton at 17.7% compared to 11.8% in Columbus.
- Obesity rates are higher in Columbus at 44.8% compared to 34.9% in Upton.
- There is a higher percentage of disabled individuals in Upton at 23.0% 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 | Upton |
|---|---|---|
| No Schooling | 1.1% (260) | 0.0% (Data is updating) |
| High School Diploma | 18.4% (4,272) | 34.8% (313) |
| Less than High School | 11.0% (2,559) | 30.7% (276) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 12.7% (114) |
Education Levels Comparison: Columbus vs Upton
- A higher percentage of residents in Columbus have no formal schooling at 1.1% compared to 0.0% in Upton.
- In Upton, the rate of residents with high school diplomas is higher at 34.8% compared to 18.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Upton at 30.7%, 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 12.7% in Upton.
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.