Demographics details for Wheeler, TX vs Union city, TN
Population Overview
Compare main population characteristics in Wheeler, TX vs Union city, TN.
| Data | Wheeler | Union city |
|---|---|---|
| Population | 4,807 | 10,985 |
| Median Age | 40.0 years | 37.4 years |
| Median Income | $58,158 | $42,620 |
| Married Families | 49.0% | 35.0% |
| Poverty Level | 14% | 16% |
| Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Wheeler vs Union city
- The population in Union city is higher at 10,985, compared to 4,807 in Wheeler.
- Residents in Wheeler have a higher median age of 40.0 years compared to 37.4 years in Union city.
- Wheeler has a higher median income of $58,158 compared to $42,620 in Union city.
- A higher percentage of married families is found in Wheeler at 49.0% compared to 35.0% in Union city.
- The poverty level is higher in Union city at 16%, compared to 14% in Wheeler.
- Union city has a higher unemployment rate at 4.2% compared to 4.1% in Wheeler.
Demographics
Demographics Wheeler vs Union city provide insight into the diversity of the communities to compare.
| Demographic | Wheeler | Union city |
|---|---|---|
| Black | 3 | 23 |
| White | 63 | 61 |
| Asian | Data is updating | Data is updating |
| Hispanic | 26 | 8 |
| Two or More Races | 8 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeler vs Union city
- In Union city, the percentage of Black residents is higher at 23% compared to 3% in Wheeler.
- Wheeler has a higher percentage of White residents at 63% compared to 61% in Union city.
- Both Wheeler and Union city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wheeler at 26% compared to 8% in Union city.
- Both Wheeler and Union city have the same percentage of residents identifying as two or more races at 8%.
- The percentage of American Indian residents is the same in both Wheeler and Union city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeler | Union city |
|---|---|---|
| Mental Health Not Good | 18.9% | 22.1% |
| Physical Health Not Good | 13.6% | 16.6% |
| Depression | 24.8% | 29.8% |
| Smoking | 20.3% | 27.9% |
| Binge Drinking | 17.8% | 13.0% |
| Obesity | 39.0% | 39.7% |
| Disability Percentage | 16.0% | 22.0% |
Health Statistics Comparison: Wheeler vs Union city
- In Union city, a higher percentage report poor mental health at 22.1% compared to 18.9% in Wheeler.
- Higher depression rates are seen in Union city at 29.8% versus 24.8% in Wheeler.
- Union city has a higher smoking rate at 27.9% compared to 20.3% in Wheeler.
- Binge drinking is more common in Wheeler at 17.8% compared to 13.0% in Union city.
- Union city has higher obesity rates at 39.7% compared to 39.0% in Wheeler.
- There is a higher percentage of disabled individuals in Union city at 22.0% compared to 16.0% in Wheeler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeler | Union city |
|---|---|---|
| No Schooling | 1.2% (59) | 0.5% (60) |
| High School Diploma | 23.7% (1,141) | 21.0% (2,309) |
| Less than High School | 19.7% (948) | 18.4% (2,016) |
| Bachelor's Degree and Higher | 12.4% (596) | 12.8% (1,408) |
Education Levels Comparison: Wheeler vs Union city
- A higher percentage of residents in Wheeler have no formal schooling at 1.2% compared to 0.5% in Union city.
- A higher percentage of residents in Wheeler hold a high school diploma at 23.7% compared to 21.0% in Union city.
- More residents in Wheeler have less than a high school education at 19.7% compared to 18.4% in Union city.
- In Union city, a larger share of residents have a bachelor's degree or higher at 12.8% compared to 12.4% in Wheeler.
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.