Demographics details for Union city, GA vs Odessa, MO
Population Overview
Compare main population characteristics in Union city, GA vs Odessa, MO.
| Data | Union city | Odessa |
|---|---|---|
| Population | 27,895 | 5,606 |
| Median Age | 32.7 years | 40.0 years |
| Median Income | $46,696 | $86,125 |
| Married Families | 17.0% | 42.0% |
| Poverty Level | 16% | 6% |
| Unemployment Rate | 6.1 | 3.2 |
Population Comparison: Union city vs Odessa
- In Union city, the population is higher at 27,895, compared to 5,606 in Odessa.
- The median age in Odessa is higher at 40.0 years, compared to 32.7 years in Union city.
- Odessa has a higher median income of $86,125, compared to $46,696 in Union city.
- In Odessa, the percentage of married families is higher at 42.0%, compared to 17.0% in Union city.
- Union city has a higher poverty level at 16% compared to 6% in Odessa.
- The unemployment rate in Union city is higher at 6.1%, compared to 3.2% in Odessa.
Demographics
Demographics Union city vs Odessa provide insight into the diversity of the communities to compare.
| Demographic | Union city | Odessa |
|---|---|---|
| Black | 85 | 1 |
| White | 6 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 2 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Union city vs Odessa
- A higher percentage of Black residents are in Union city at 85% compared to 1% in Odessa.
- The percentage of White residents is higher in Odessa at 94% compared to 6% in Union city.
- Both Union city and Odessa have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Union city at 5% compared to 2% in Odessa.
- More residents identify as two or more races in Union city at 4% compared to 2% in Odessa.
- In Odessa, the percentage of American Indian residents is higher at 1%, compared to 0% in Union city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Union city | Odessa |
|---|---|---|
| Mental Health Not Good | 16.7% | 17.5% |
| Physical Health Not Good | 12.2% | 12.4% |
| Depression | 17.2% | 24.4% |
| Smoking | 18.0% | 21.6% |
| Binge Drinking | 13.5% | 19.9% |
| Obesity | 36.6% | 40.2% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Union city vs Odessa
- In Odessa, a higher percentage report poor mental health at 17.5% compared to 16.7% in Union city.
- Higher depression rates are seen in Odessa at 24.4% versus 17.2% in Union city.
- Odessa has a higher smoking rate at 21.6% compared to 18.0% in Union city.
- More residents engage in binge drinking in Odessa at 19.9% compared to 13.5% in Union city.
- Odessa has higher obesity rates at 40.2% compared to 36.6% in Union city.
- Disability percentages are the same in both Union city and Odessa at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Union city | Odessa |
|---|---|---|
| No Schooling | 0.5% (129) | 0.4% (20) |
| High School Diploma | 13.2% (3,681) | 27.2% (1,526) |
| Less than High School | 7.8% (2,166) | 8.6% (484) |
| Bachelor's Degree and Higher | 17.3% (4,828) | 15.4% (861) |
Education Levels Comparison: Union city vs Odessa
- A higher percentage of residents in Union city have no formal schooling at 0.5% compared to 0.4% in Odessa.
- In Odessa, the rate of residents with high school diplomas is higher at 27.2% compared to 13.2% in Union city.
- The percentage of residents with less than a high school education is higher in Odessa at 8.6%, compared to 7.8% in Union city.
- A higher percentage of residents in Union city hold a bachelor's degree or higher at 17.3% compared to 15.4% in Odessa.
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.