Demographics details for Flower mound, TX vs Gotha, FL
Population Overview
Compare main population characteristics in Flower mound, TX vs Gotha, FL.
| Data | Flower mound | Gotha |
|---|---|---|
| Population | 78,486 | 1,640 |
| Median Age | 42.6 years | 28.9 years |
| Median Income | $154,471 | $174,750 |
| Married Families | 51.0% | 46.0% |
| Poverty Level | 4% | 4% |
| Unemployment Rate | 3.7 | 4.5 |
Population Comparison: Flower mound vs Gotha
- In Flower mound, the population is higher at 78,486, compared to 1,640 in Gotha.
- Residents in Flower mound have a higher median age of 42.6 years compared to 28.9 years in Gotha.
- Gotha has a higher median income of $174,750, compared to $154,471 in Flower mound.
- A higher percentage of married families is found in Flower mound at 51.0% compared to 46.0% in Gotha.
- The poverty level is identical in both Flower mound and Gotha at 4%.
- Gotha has a higher unemployment rate at 4.5% compared to 3.7% in Flower mound.
Demographics
Demographics Flower mound vs Gotha provide insight into the diversity of the communities to compare.
| Demographic | Flower mound | Gotha |
|---|---|---|
| Black | 3 | 26 |
| White | 66 | 40 |
| Asian | 13 | 12 |
| Hispanic | 11 | 11 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Flower mound vs Gotha
- In Gotha, the percentage of Black residents is higher at 26% compared to 3% in Flower mound.
- Flower mound has a higher percentage of White residents at 66% compared to 40% in Gotha.
- The Asian population is larger in Flower mound at 13% compared to 12% in Gotha.
- The percentage of Hispanic residents is the same in both Flower mound and Gotha at 11%.
- The percentage of residents identifying as two or more races is higher in Gotha at 11%, compared to 7% in Flower mound.
- The percentage of American Indian residents is the same in both Flower mound and Gotha at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Flower mound | Gotha |
|---|---|---|
| Mental Health Not Good | 13.3% | 13.7% |
| Physical Health Not Good | 7.7% | 8.4% |
| Depression | 21.1% | 16.6% |
| Smoking | 9.5% | 13.4% |
| Binge Drinking | 19.7% | 15.6% |
| Obesity | 28.5% | 24.5% |
| Disability Percentage | 6.0% | 1.0% |
Health Statistics Comparison: Flower mound vs Gotha
- In Gotha, a higher percentage report poor mental health at 13.7% compared to 13.3% in Flower mound.
- Depression is more prevalent in Flower mound at 21.1% compared to 16.6% in Gotha.
- Gotha has a higher smoking rate at 13.4% compared to 9.5% in Flower mound.
- Binge drinking is more common in Flower mound at 19.7% compared to 15.6% in Gotha.
- Obesity rates are higher in Flower mound at 28.5% compared to 24.5% in Gotha.
- Disability percentages are higher in Flower mound at 6.0% compared to 1.0% in Gotha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Flower mound | Gotha |
|---|---|---|
| No Schooling | 0.7% (519) | 1.5% (25) |
| High School Diploma | 6.2% (4,886) | 6.2% (102) |
| Less than High School | 2.7% (2,090) | 1.5% (25) |
| Bachelor's Degree and Higher | 42.3% (33,161) | 34.7% (569) |
Education Levels Comparison: Flower mound vs Gotha
- In Gotha, a larger percentage of residents lack formal schooling at 1.5% compared to 0.7% in Flower mound.
- Both cities have the same percentage of residents with high school diplomas at 6.2%.
- More residents in Flower mound have less than a high school education at 2.7% compared to 1.5% in Gotha.
- A higher percentage of residents in Flower mound hold a bachelor's degree or higher at 42.3% compared to 34.7% in Gotha.
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.