Demographics details for Flower mound, TX vs Gill, CO
Population Overview
Compare main population characteristics in Flower mound, TX vs Gill, CO.
| Data | Flower mound | Gill |
|---|---|---|
| Population | 78,486 | 102 |
| Median Age | 42.6 years | 37.0 years |
| Median Income | $154,471 | $60,000 |
| Married Families | 51.0% | 30.0% |
| Poverty Level | 4% | 12% |
| Unemployment Rate | 3.7 | 3.0 |
Population Comparison: Flower mound vs Gill
- In Flower mound, the population is higher at 78,486, compared to 102 in Gill.
- Residents in Flower mound have a higher median age of 42.6 years compared to 37.0 years in Gill.
- Flower mound has a higher median income of $154,471 compared to $60,000 in Gill.
- A higher percentage of married families is found in Flower mound at 51.0% compared to 30.0% in Gill.
- The poverty level is higher in Gill at 12%, compared to 4% in Flower mound.
- The unemployment rate in Flower mound is higher at 3.7%, compared to 3.0% in Gill.
Demographics
Demographics Flower mound vs Gill provide insight into the diversity of the communities to compare.
| Demographic | Flower mound | Gill |
|---|---|---|
| Black | 3 | Data is updating |
| White | 66 | 100 |
| Asian | 13 | Data is updating |
| Hispanic | 11 | Data is updating |
| Two or More Races | 7 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Flower mound vs Gill
- A higher percentage of Black residents are in Flower mound at 3% compared to 0% in Gill.
- The percentage of White residents is higher in Gill at 100% compared to 66% in Flower mound.
- The Asian population is larger in Flower mound at 13% compared to 0% in Gill.
- The Hispanic community is larger in Flower mound at 11% compared to 0% in Gill.
- More residents identify as two or more races in Flower mound at 7% compared to 0% in Gill.
- The percentage of American Indian residents is the same in both Flower mound and Gill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Flower mound | Gill |
|---|---|---|
| Mental Health Not Good | 13.3% | Data is updating% |
| Physical Health Not Good | 7.7% | Data is updating% |
| Depression | 21.1% | Data is updating% |
| Smoking | 9.5% | Data is updating% |
| Binge Drinking | 19.7% | Data is updating% |
| Obesity | 28.5% | Data is updating% |
| Disability Percentage | 6.0% | Data is updating% |
Health Statistics Comparison: Flower mound vs Gill
- More residents in Flower mound report poor mental health at 13.3% compared to 0.0% in Gill.
- Depression is more prevalent in Flower mound at 21.1% compared to 0.0% in Gill.
- Smoking is more prevalent in Flower mound at 9.5% compared to 0.0% in Gill.
- Binge drinking is more common in Flower mound at 19.7% compared to 0.0% in Gill.
- Obesity rates are higher in Flower mound at 28.5% compared to 0.0% in Gill.
- Disability percentages are higher in Flower mound at 6.0% 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 | Flower mound | Gill |
|---|---|---|
| No Schooling | 0.7% (519) | 0.0% (Data is updating) |
| High School Diploma | 6.2% (4,886) | 0.0% (Data is updating) |
| Less than High School | 2.7% (2,090) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 42.3% (33,161) | 0.0% (Data is updating) |
Education Levels Comparison: Flower mound vs Gill
- A higher percentage of residents in Flower mound have no formal schooling at 0.7% compared to 0.0% in Gill.
- A higher percentage of residents in Flower mound hold a high school diploma at 6.2% compared to 0.0% in Gill.
- More residents in Flower mound have less than a high school education at 2.7% compared to 0.0% in Gill.
- A higher percentage of residents in Flower mound hold a bachelor's degree or higher at 42.3% 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.