Demographics details for Columbia, MO vs Union city, GA
Population Overview
Compare main population characteristics in Columbia, MO vs Union city, GA.
| Data | Columbia | Union city |
|---|---|---|
| Population | 128,555 | 27,895 |
| Median Age | 28.8 years | 32.7 years |
| Median Income | $60,455 | $46,696 |
| Married Families | 32.0% | 17.0% |
| Poverty Level | 19% | 16% |
| Unemployment Rate | 3.8 | 6.1 |
Population Comparison: Columbia vs Union city
- In Columbia, the population is higher at 128,555, compared to 27,895 in Union city.
- The median age in Union city is higher at 32.7 years, compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455 compared to $46,696 in Union city.
- A higher percentage of married families is found in Columbia at 32.0% compared to 17.0% in Union city.
- Columbia has a higher poverty level at 19% compared to 16% in Union city.
- Union city has a higher unemployment rate at 6.1% compared to 3.8% in Columbia.
Demographics
Demographics Columbia vs Union city provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Union city |
|---|---|---|
| Black | 11 | 85 |
| White | 73 | 6 |
| Asian | 6 | Data is updating |
| Hispanic | 4 | 5 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Union city
- In Union city, the percentage of Black residents is higher at 85% compared to 11% in Columbia.
- Columbia has a higher percentage of White residents at 73% compared to 6% in Union city.
- The Asian population is larger in Columbia at 6% compared to 0% in Union city.
- Union city has a higher percentage of Hispanic residents at 5%, compared to 4% in Columbia.
- More residents identify as two or more races in Columbia at 6% compared to 4% in Union city.
- The percentage of American Indian residents is the same in both Columbia and Union city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Union city |
|---|---|---|
| Mental Health Not Good | 16.7% | 16.7% |
| Physical Health Not Good | 11.4% | 12.2% |
| Depression | 25.3% | 17.2% |
| Smoking | 16.3% | 18.0% |
| Binge Drinking | 17.7% | 13.5% |
| Obesity | 33.5% | 36.6% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Columbia vs Union city
- Poor mental health levels are equal in both Columbia and Union city at 16.7%.
- Depression is more prevalent in Columbia at 25.3% compared to 17.2% in Union city.
- Union city has a higher smoking rate at 18.0% compared to 16.3% in Columbia.
- Binge drinking is more common in Columbia at 17.7% compared to 13.5% in Union city.
- Union city has higher obesity rates at 36.6% compared to 33.5% in Columbia.
- There is a higher percentage of disabled individuals in Union city at 12.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Union city |
|---|---|---|
| No Schooling | 0.7% (845) | 0.5% (129) |
| High School Diploma | 7.8% (9,965) | 13.2% (3,681) |
| Less than High School | 4.2% (5,383) | 7.8% (2,166) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 17.3% (4,828) |
Education Levels Comparison: Columbia vs Union city
- A higher percentage of residents in Columbia have no formal schooling at 0.7% compared to 0.5% in Union city.
- In Union city, the rate of residents with high school diplomas is higher at 13.2% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Union city at 7.8%, compared to 4.2% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 17.3% in Union city.
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.