Demographics details for Pleasanton, CA vs Flower mound, TX
Population Overview
Compare main population characteristics in Pleasanton, CA vs Flower mound, TX.
| Data | Pleasanton | Flower mound |
|---|---|---|
| Population | 76,689 | 78,486 |
| Median Age | 41.5 years | 42.6 years |
| Median Income | $181,639 | $154,471 |
| Married Families | 53.0% | 51.0% |
| Poverty Level | 7% | 4% |
| Unemployment Rate | 4.3 | 3.7 |
Population Comparison: Pleasanton vs Flower mound
- The population in Flower mound is higher at 78,486, compared to 76,689 in Pleasanton.
- The median age in Flower mound is higher at 42.6 years, compared to 41.5 years in Pleasanton.
- Pleasanton has a higher median income of $181,639 compared to $154,471 in Flower mound.
- A higher percentage of married families is found in Pleasanton at 53.0% compared to 51.0% in Flower mound.
- Pleasanton has a higher poverty level at 7% compared to 4% in Flower mound.
- The unemployment rate in Pleasanton is higher at 4.3%, compared to 3.7% in Flower mound.
Demographics
Demographics Pleasanton vs Flower mound provide insight into the diversity of the communities to compare.
| Demographic | Pleasanton | Flower mound |
|---|---|---|
| Black | 2 | 3 |
| White | 37 | 66 |
| Asian | 42 | 13 |
| Hispanic | 12 | 11 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pleasanton vs Flower mound
- In Flower mound, the percentage of Black residents is higher at 3% compared to 2% in Pleasanton.
- The percentage of White residents is higher in Flower mound at 66% compared to 37% in Pleasanton.
- The Asian population is larger in Pleasanton at 42% compared to 13% in Flower mound.
- The Hispanic community is larger in Pleasanton at 12% compared to 11% in Flower mound.
- Both Pleasanton and Flower mound have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Pleasanton and Flower mound at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pleasanton | Flower mound |
|---|---|---|
| Mental Health Not Good | 13.1% | 13.3% |
| Physical Health Not Good | 7.3% | 7.7% |
| Depression | 17.6% | 21.1% |
| Smoking | 7.2% | 9.5% |
| Binge Drinking | 17.2% | 19.7% |
| Obesity | 22.9% | 28.5% |
| Disability Percentage | 8.0% | 6.0% |
Health Statistics Comparison: Pleasanton vs Flower mound
- In Flower mound, a higher percentage report poor mental health at 13.3% compared to 13.1% in Pleasanton.
- Higher depression rates are seen in Flower mound at 21.1% versus 17.6% in Pleasanton.
- Flower mound has a higher smoking rate at 9.5% compared to 7.2% in Pleasanton.
- More residents engage in binge drinking in Flower mound at 19.7% compared to 17.2% in Pleasanton.
- Flower mound has higher obesity rates at 28.5% compared to 22.9% in Pleasanton.
- Disability percentages are higher in Pleasanton at 8.0% 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 | Pleasanton | Flower mound |
|---|---|---|
| No Schooling | 0.5% (407) | 0.7% (519) |
| High School Diploma | 6.2% (4,722) | 6.2% (4,886) |
| Less than High School | 3.8% (2,941) | 2.7% (2,090) |
| Bachelor's Degree and Higher | 49.3% (37,825) | 42.3% (33,161) |
Education Levels Comparison: Pleasanton vs Flower mound
- In Flower mound, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Pleasanton.
- Both cities have the same percentage of residents with high school diplomas at 6.2%.
- More residents in Pleasanton have less than a high school education at 3.8% compared to 2.7% in Flower mound.
- A higher percentage of residents in Pleasanton hold a bachelor's degree or higher at 49.3% compared to 42.3% in Flower mound.
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.