Demographics details for Flower mound, TX vs Whitehall, WI
Population Overview
Compare main population characteristics in Flower mound, TX vs Whitehall, WI.
| Data | Flower mound | Whitehall |
|---|---|---|
| Population | 78,486 | 1,632 |
| Median Age | 42.6 years | 36.8 years |
| Median Income | $154,471 | $56,894 |
| Married Families | 51.0% | 30.0% |
| Poverty Level | 4% | 7% |
| Unemployment Rate | 3.7 | 3.6 |
Population Comparison: Flower mound vs Whitehall
- In Flower mound, the population is higher at 78,486, compared to 1,632 in Whitehall.
- Residents in Flower mound have a higher median age of 42.6 years compared to 36.8 years in Whitehall.
- Flower mound has a higher median income of $154,471 compared to $56,894 in Whitehall.
- A higher percentage of married families is found in Flower mound at 51.0% compared to 30.0% in Whitehall.
- The poverty level is higher in Whitehall at 7%, compared to 4% in Flower mound.
- The unemployment rate in Flower mound is higher at 3.7%, compared to 3.6% in Whitehall.
Demographics
Demographics Flower mound vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Flower mound | Whitehall |
|---|---|---|
| Black | 3 | 1 |
| White | 66 | 83 |
| Asian | 13 | Data is updating |
| Hispanic | 11 | 12 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Flower mound vs Whitehall
- A higher percentage of Black residents are in Flower mound at 3% compared to 1% in Whitehall.
- The percentage of White residents is higher in Whitehall at 83% compared to 66% in Flower mound.
- The Asian population is larger in Flower mound at 13% compared to 0% in Whitehall.
- Whitehall has a higher percentage of Hispanic residents at 12%, compared to 11% in Flower mound.
- More residents identify as two or more races in Flower mound at 7% compared to 3% in Whitehall.
- In Whitehall, the percentage of American Indian residents is higher at 1%, compared to 0% in Flower mound.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Flower mound | Whitehall |
|---|---|---|
| Mental Health Not Good | 13.3% | 15.2% |
| Physical Health Not Good | 7.7% | 10.3% |
| Depression | 21.1% | 24.0% |
| Smoking | 9.5% | 16.7% |
| Binge Drinking | 19.7% | 24.4% |
| Obesity | 28.5% | 34.9% |
| Disability Percentage | 6.0% | 15.0% |
Health Statistics Comparison: Flower mound vs Whitehall
- In Whitehall, a higher percentage report poor mental health at 15.2% compared to 13.3% in Flower mound.
- Higher depression rates are seen in Whitehall at 24.0% versus 21.1% in Flower mound.
- Whitehall has a higher smoking rate at 16.7% compared to 9.5% in Flower mound.
- More residents engage in binge drinking in Whitehall at 24.4% compared to 19.7% in Flower mound.
- Whitehall has higher obesity rates at 34.9% compared to 28.5% in Flower mound.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 6.0% in Flower mound.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Flower mound | Whitehall |
|---|---|---|
| No Schooling | 0.7% (519) | 0.4% (7) |
| High School Diploma | 6.2% (4,886) | 24.4% (398) |
| Less than High School | 2.7% (2,090) | 15.7% (256) |
| Bachelor's Degree and Higher | 42.3% (33,161) | 8.6% (141) |
Education Levels Comparison: Flower mound vs Whitehall
- A higher percentage of residents in Flower mound have no formal schooling at 0.7% compared to 0.4% in Whitehall.
- In Whitehall, the rate of residents with high school diplomas is higher at 24.4% compared to 6.2% in Flower mound.
- The percentage of residents with less than a high school education is higher in Whitehall at 15.7%, compared to 2.7% in Flower mound.
- A higher percentage of residents in Flower mound hold a bachelor's degree or higher at 42.3% compared to 8.6% in Whitehall.
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.