Demographics details for Columbus, KS vs Union city, GA
Population Overview
Compare main population characteristics in Columbus, KS vs Union city, GA.
| Data | Columbus | Union city |
|---|---|---|
| Population | 2,880 | 27,895 |
| Median Age | 40.9 years | 32.7 years |
| Median Income | $39,777 | $46,696 |
| Married Families | 35.0% | 17.0% |
| Poverty Level | 10% | 16% |
| Unemployment Rate | 3.5 | 6.1 |
Population Comparison: Columbus vs Union city
- The population in Union city is higher at 27,895, compared to 2,880 in Columbus.
- Residents in Columbus have a higher median age of 40.9 years compared to 32.7 years in Union city.
- Union city has a higher median income of $46,696, compared to $39,777 in Columbus.
- A higher percentage of married families is found in Columbus at 35.0% compared to 17.0% in Union city.
- The poverty level is higher in Union city at 16%, compared to 10% in Columbus.
- Union city has a higher unemployment rate at 6.1% compared to 3.5% in Columbus.
Demographics
Demographics Columbus vs Union city provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Union city |
|---|---|---|
| Black | 4 | 85 |
| White | 86 | 6 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 5 |
| Two or More Races | 9 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Columbus vs Union city
- In Union city, the percentage of Black residents is higher at 85% compared to 4% in Columbus.
- Columbus has a higher percentage of White residents at 86% compared to 6% in Union city.
- Both Columbus and Union city have the same percentage of Asian residents at 0%.
- Union city has a higher percentage of Hispanic residents at 5%, compared to 0% in Columbus.
- More residents identify as two or more races in Columbus at 9% compared to 4% in Union city.
- A greater percentage of American Indian residents live in Columbus at 1% compared to 0% in Union city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Union city |
|---|---|---|
| Mental Health Not Good | 17.4% | 16.7% |
| Physical Health Not Good | 11.6% | 12.2% |
| Depression | 22.6% | 17.2% |
| Smoking | 20.2% | 18.0% |
| Binge Drinking | 17.3% | 13.5% |
| Obesity | 42.3% | 36.6% |
| Disability Percentage | 34.0% | 12.0% |
Health Statistics Comparison: Columbus vs Union city
- More residents in Columbus report poor mental health at 17.4% compared to 16.7% in Union city.
- Depression is more prevalent in Columbus at 22.6% compared to 17.2% in Union city.
- Smoking is more prevalent in Columbus at 20.2% compared to 18.0% in Union city.
- Binge drinking is more common in Columbus at 17.3% compared to 13.5% in Union city.
- Obesity rates are higher in Columbus at 42.3% compared to 36.6% in Union city.
- Disability percentages are higher in Columbus at 34.0% compared to 12.0% in Union city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Union city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (129) |
| High School Diploma | 25.3% (729) | 13.2% (3,681) |
| Less than High School | 12.7% (367) | 7.8% (2,166) |
| Bachelor's Degree and Higher | 16.0% (460) | 17.3% (4,828) |
Education Levels Comparison: Columbus vs Union city
- In Union city, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Columbus.
- A higher percentage of residents in Columbus hold a high school diploma at 25.3% compared to 13.2% in Union city.
- More residents in Columbus have less than a high school education at 12.7% compared to 7.8% in Union city.
- In Union city, a larger share of residents have a bachelor's degree or higher at 17.3% compared to 16.0% in Columbus.
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.