Demographics details for Groom, TX vs Union city, GA
Population Overview
Compare main population characteristics in Groom, TX vs Union city, GA.
| Data | Groom | Union city |
|---|---|---|
| Population | 548 | 27,895 |
| Median Age | 46.0 years | 32.7 years |
| Median Income | $51,944 | $46,696 |
| Married Families | 39.0% | 17.0% |
| Poverty Level | 12% | 16% |
| Unemployment Rate | 3.5 | 6.1 |
Population Comparison: Groom vs Union city
- The population in Union city is higher at 27,895, compared to 548 in Groom.
- Residents in Groom have a higher median age of 46.0 years compared to 32.7 years in Union city.
- Groom has a higher median income of $51,944 compared to $46,696 in Union city.
- A higher percentage of married families is found in Groom at 39.0% compared to 17.0% in Union city.
- The poverty level is higher in Union city at 16%, compared to 12% in Groom.
- Union city has a higher unemployment rate at 6.1% compared to 3.5% in Groom.
Demographics
Demographics Groom vs Union city provide insight into the diversity of the communities to compare.
| Demographic | Groom | Union city |
|---|---|---|
| Black | Data is updating | 85 |
| White | 96 | 6 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 5 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Groom vs Union city
- In Union city, the percentage of Black residents is higher at 85% compared to 0% in Groom.
- Groom has a higher percentage of White residents at 96% compared to 6% in Union city.
- Both Groom 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 3% in Groom.
- The percentage of residents identifying as two or more races is higher in Union city at 4%, compared to 1% in Groom.
- The percentage of American Indian residents is the same in both Groom and Union city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Groom | Union city |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.7% |
| Physical Health Not Good | 10.6% | 12.2% |
| Depression | 25.1% | 17.2% |
| Smoking | 16.4% | 18.0% |
| Binge Drinking | 20.3% | 13.5% |
| Obesity | 34.7% | 36.6% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Groom vs Union city
- More residents in Groom report poor mental health at 17.3% compared to 16.7% in Union city.
- Depression is more prevalent in Groom at 25.1% compared to 17.2% in Union city.
- Union city has a higher smoking rate at 18.0% compared to 16.4% in Groom.
- Binge drinking is more common in Groom at 20.3% compared to 13.5% in Union city.
- Union city has higher obesity rates at 36.6% compared to 34.7% in Groom.
- There is a higher percentage of disabled individuals in Union city at 12.0% compared to 11.0% in Groom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Groom | Union city |
|---|---|---|
| No Schooling | 0.7% (4) | 0.5% (129) |
| High School Diploma | 22.3% (122) | 13.2% (3,681) |
| Less than High School | 10.9% (60) | 7.8% (2,166) |
| Bachelor's Degree and Higher | 10.9% (60) | 17.3% (4,828) |
Education Levels Comparison: Groom vs Union city
- A higher percentage of residents in Groom have no formal schooling at 0.7% compared to 0.5% in Union city.
- A higher percentage of residents in Groom hold a high school diploma at 22.3% compared to 13.2% in Union city.
- More residents in Groom have less than a high school education at 10.9% 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 10.9% in Groom.
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.