Demographics details for Pleasanton, CA vs Buda, TX
Population Overview
Compare main population characteristics in Pleasanton, CA vs Buda, TX.
| Data | Pleasanton | Buda |
|---|---|---|
| Population | 76,689 | 16,086 |
| Median Age | 41.5 years | 36.8 years |
| Median Income | $181,639 | $105,378 |
| Married Families | 53.0% | 44.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 4.3 | 3.2 |
Population Comparison: Pleasanton vs Buda
- In Pleasanton, the population is higher at 76,689, compared to 16,086 in Buda.
- Residents in Pleasanton have a higher median age of 41.5 years compared to 36.8 years in Buda.
- Pleasanton has a higher median income of $181,639 compared to $105,378 in Buda.
- A higher percentage of married families is found in Pleasanton at 53.0% compared to 44.0% in Buda.
- Pleasanton has a higher poverty level at 7% compared to 5% in Buda.
- The unemployment rate in Pleasanton is higher at 4.3%, compared to 3.2% in Buda.
Demographics
Demographics Pleasanton vs Buda provide insight into the diversity of the communities to compare.
| Demographic | Pleasanton | Buda |
|---|---|---|
| Black | 2 | 1 |
| White | 37 | 59 |
| Asian | 42 | Data is updating |
| Hispanic | 12 | 30 |
| Two or More Races | 7 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pleasanton vs Buda
- A higher percentage of Black residents are in Pleasanton at 2% compared to 1% in Buda.
- The percentage of White residents is higher in Buda at 59% compared to 37% in Pleasanton.
- The Asian population is larger in Pleasanton at 42% compared to 0% in Buda.
- Buda has a higher percentage of Hispanic residents at 30%, compared to 12% in Pleasanton.
- The percentage of residents identifying as two or more races is higher in Buda at 10%, compared to 7% in Pleasanton.
- The percentage of American Indian residents is the same in both Pleasanton and Buda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pleasanton | Buda |
|---|---|---|
| Mental Health Not Good | 13.1% | 14.6% |
| Physical Health Not Good | 7.3% | 8.8% |
| Depression | 17.6% | 20.5% |
| Smoking | 7.2% | 11.4% |
| Binge Drinking | 17.2% | 20.1% |
| Obesity | 22.9% | 27.5% |
| Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Pleasanton vs Buda
- In Buda, a higher percentage report poor mental health at 14.6% compared to 13.1% in Pleasanton.
- Higher depression rates are seen in Buda at 20.5% versus 17.6% in Pleasanton.
- Buda has a higher smoking rate at 11.4% compared to 7.2% in Pleasanton.
- More residents engage in binge drinking in Buda at 20.1% compared to 17.2% in Pleasanton.
- Buda has higher obesity rates at 27.5% compared to 22.9% in Pleasanton.
- Disability percentages are the same in both Pleasanton and Buda at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pleasanton | Buda |
|---|---|---|
| No Schooling | 0.5% (407) | 0.3% (49) |
| High School Diploma | 6.2% (4,722) | 10.4% (1,668) |
| Less than High School | 3.8% (2,941) | 3.3% (532) |
| Bachelor's Degree and Higher | 49.3% (37,825) | 30.8% (4,960) |
Education Levels Comparison: Pleasanton vs Buda
- A higher percentage of residents in Pleasanton have no formal schooling at 0.5% compared to 0.3% in Buda.
- In Buda, the rate of residents with high school diplomas is higher at 10.4% compared to 6.2% in Pleasanton.
- More residents in Pleasanton have less than a high school education at 3.8% compared to 3.3% in Buda.
- A higher percentage of residents in Pleasanton hold a bachelor's degree or higher at 49.3% compared to 30.8% in Buda.
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.