Demographics details for League city, TX vs Gill, CO
Population Overview
Compare main population characteristics in League city, TX vs Gill, CO.
| Data | League city | Gill |
|---|---|---|
| Population | 115,418 | 102 |
| Median Age | 37.1 years | 37.0 years |
| Median Income | $117,316 | $60,000 |
| Married Families | 48.0% | 30.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 3.8 | 3.0 |
Population Comparison: League city vs Gill
- In League city, the population is higher at 115,418, compared to 102 in Gill.
- Residents in League city have a higher median age of 37.1 years compared to 37.0 years in Gill.
- League city has a higher median income of $117,316 compared to $60,000 in Gill.
- A higher percentage of married families is found in League city at 48.0% compared to 30.0% in Gill.
- The poverty level is higher in Gill at 12%, compared to 6% in League city.
- The unemployment rate in League city is higher at 3.8%, compared to 3.0% in Gill.
Demographics
Demographics League city vs Gill provide insight into the diversity of the communities to compare.
| Demographic | League city | Gill |
|---|---|---|
| Black | 8 | Data is updating |
| White | 57 | 100 |
| Asian | 6 | Data is updating |
| Hispanic | 19 | Data is updating |
| Two or More Races | 10 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: League city vs Gill
- A higher percentage of Black residents are in League city at 8% compared to 0% in Gill.
- The percentage of White residents is higher in Gill at 100% compared to 57% in League city.
- The Asian population is larger in League city at 6% compared to 0% in Gill.
- The Hispanic community is larger in League city at 19% compared to 0% in Gill.
- More residents identify as two or more races in League city at 10% compared to 0% in Gill.
- The percentage of American Indian residents is the same in both League city and Gill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | League city | Gill |
|---|---|---|
| Mental Health Not Good | 14.1% | Data is updating% |
| Physical Health Not Good | 8.6% | Data is updating% |
| Depression | 21.0% | Data is updating% |
| Smoking | 11.2% | Data is updating% |
| Binge Drinking | 19.5% | Data is updating% |
| Obesity | 30.4% | Data is updating% |
| Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: League city vs Gill
- More residents in League city report poor mental health at 14.1% compared to 0.0% in Gill.
- Depression is more prevalent in League city at 21.0% compared to 0.0% in Gill.
- Smoking is more prevalent in League city at 11.2% compared to 0.0% in Gill.
- Binge drinking is more common in League city at 19.5% compared to 0.0% in Gill.
- Obesity rates are higher in League city at 30.4% compared to 0.0% in Gill.
- Disability percentages are higher in League city at 9.0% compared to 0.0% in Gill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | League city | Gill |
|---|---|---|
| No Schooling | 0.5% (597) | 0.0% (Data is updating) |
| High School Diploma | 8.9% (10,242) | 0.0% (Data is updating) |
| Less than High School | 4.9% (5,692) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 31.5% (36,360) | 0.0% (Data is updating) |
Education Levels Comparison: League city vs Gill
- A higher percentage of residents in League city have no formal schooling at 0.5% compared to 0.0% in Gill.
- A higher percentage of residents in League city hold a high school diploma at 8.9% compared to 0.0% in Gill.
- More residents in League city have less than a high school education at 4.9% compared to 0.0% in Gill.
- A higher percentage of residents in League city hold a bachelor's degree or higher at 31.5% compared to 0.0% in Gill.
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.