Demographics details for Union city, TN vs League city, TX
Population Overview
Compare main population characteristics in Union city, TN vs League city, TX.
Data | Union city | League city |
---|---|---|
Population | 10,985 | 115,418 |
Median Age | 37.4 years | 37.1 years |
Median Income | $42,620 | $117,316 |
Married Families | 35.0% | 48.0% |
Poverty Level | 16% | 6% |
Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Union city vs League city
- The population in League city is higher at 115,418, compared to 10,985 in Union city.
- Residents in Union city have a higher median age of 37.4 years compared to 37.1 years in League city.
- League city has a higher median income of $117,316, compared to $42,620 in Union city.
- In League city, the percentage of married families is higher at 48.0%, compared to 35.0% in Union city.
- Union city has a higher poverty level at 16% compared to 6% in League city.
- The unemployment rate in Union city is higher at 4.2%, compared to 3.8% in League city.
Demographics
Demographics Union city vs League city provide insight into the diversity of the communities to compare.
Demographic | Union city | League city |
---|---|---|
Black | 23 | 8 |
White | 61 | 57 |
Asian | Data is updating | 6 |
Hispanic | 8 | 19 |
Two or More Races | 8 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Union city vs League city
- A higher percentage of Black residents are in Union city at 23% compared to 8% in League city.
- Union city has a higher percentage of White residents at 61% compared to 57% in League city.
- In League city, the Asian population stands at 6%, greater than 0% in Union city.
- League city has a higher percentage of Hispanic residents at 19%, compared to 8% in Union city.
- The percentage of residents identifying as two or more races is higher in League city at 10%, compared to 8% in Union city.
- The percentage of American Indian residents is the same in both Union city and League city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Union city | League city |
---|---|---|
Mental Health Not Good | 22.1% | 14.1% |
Physical Health Not Good | 16.6% | 8.6% |
Depression | 29.8% | 21.0% |
Smoking | 27.9% | 11.2% |
Binge Drinking | 13.0% | 19.5% |
Obesity | 39.7% | 30.4% |
Disability Percentage | 22.0% | 9.0% |
Health Statistics Comparison: Union city vs League city
- More residents in Union city report poor mental health at 22.1% compared to 14.1% in League city.
- Depression is more prevalent in Union city at 29.8% compared to 21.0% in League city.
- Smoking is more prevalent in Union city at 27.9% compared to 11.2% in League city.
- More residents engage in binge drinking in League city at 19.5% compared to 13.0% in Union city.
- Obesity rates are higher in Union city at 39.7% compared to 30.4% in League city.
- Disability percentages are higher in Union city at 22.0% compared to 9.0% in League city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Union city | League city |
---|---|---|
No Schooling | 0.5% (60) | 0.5% (597) |
High School Diploma | 21.0% (2,309) | 8.9% (10,242) |
Less than High School | 18.4% (2,016) | 4.9% (5,692) |
Bachelor's Degree and Higher | 12.8% (1,408) | 31.5% (36,360) |
Education Levels Comparison: Union city vs League city
- The percentage of residents with no formal schooling is the same in both Union city and League city at 0.5%.
- A higher percentage of residents in Union city hold a high school diploma at 21.0% compared to 8.9% in League city.
- More residents in Union city have less than a high school education at 18.4% compared to 4.9% in League city.
- In League city, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 12.8% 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.