Demographics details for Pasadena, MD vs Pleasanton, CA
Population Overview
Compare main population characteristics in Pasadena, MD vs Pleasanton, CA.
| Data | Pasadena | Pleasanton |
|---|---|---|
| Population | 32,161 | 76,689 |
| Median Age | 35.1 years | 41.5 years |
| Median Income | $113,944 | $181,639 |
| Married Families | 43.0% | 53.0% |
| Poverty Level | 6% | 7% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Pasadena vs Pleasanton
- The population in Pleasanton is higher at 76,689, compared to 32,161 in Pasadena.
- The median age in Pleasanton is higher at 41.5 years, compared to 35.1 years in Pasadena.
- Pleasanton has a higher median income of $181,639, compared to $113,944 in Pasadena.
- In Pleasanton, the percentage of married families is higher at 53.0%, compared to 43.0% in Pasadena.
- The poverty level is higher in Pleasanton at 7%, compared to 6% in Pasadena.
- The unemployment rate in Pasadena is higher at 4.5%, compared to 4.3% in Pleasanton.
Demographics
Demographics Pasadena vs Pleasanton provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Pleasanton |
|---|---|---|
| Black | 17 | 2 |
| White | 66 | 37 |
| Asian | 4 | 42 |
| Hispanic | 7 | 12 |
| Two or More Races | 6 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pasadena vs Pleasanton
- A higher percentage of Black residents are in Pasadena at 17% compared to 2% in Pleasanton.
- Pasadena has a higher percentage of White residents at 66% compared to 37% in Pleasanton.
- In Pleasanton, the Asian population stands at 42%, greater than 4% in Pasadena.
- Pleasanton has a higher percentage of Hispanic residents at 12%, compared to 7% in Pasadena.
- The percentage of residents identifying as two or more races is higher in Pleasanton at 7%, compared to 6% in Pasadena.
- The percentage of American Indian residents is the same in both Pasadena and Pleasanton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Pleasanton |
|---|---|---|
| Mental Health Not Good | 15.4% | 13.1% |
| Physical Health Not Good | 9.3% | 7.3% |
| Depression | 21.4% | 17.6% |
| Smoking | 13.2% | 7.2% |
| Binge Drinking | 17.8% | 17.2% |
| Obesity | 35.6% | 22.9% |
| Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: Pasadena vs Pleasanton
- More residents in Pasadena report poor mental health at 15.4% compared to 13.1% in Pleasanton.
- Depression is more prevalent in Pasadena at 21.4% compared to 17.6% in Pleasanton.
- Smoking is more prevalent in Pasadena at 13.2% compared to 7.2% in Pleasanton.
- Binge drinking is more common in Pasadena at 17.8% compared to 17.2% in Pleasanton.
- Obesity rates are higher in Pasadena at 35.6% compared to 22.9% in Pleasanton.
- Disability percentages are higher in Pasadena at 10.0% compared to 8.0% in Pleasanton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pasadena | Pleasanton |
|---|---|---|
| No Schooling | 0.6% (191) | 0.5% (407) |
| High School Diploma | 17.5% (5,624) | 6.2% (4,722) |
| Less than High School | 8.8% (2,835) | 3.8% (2,941) |
| Bachelor's Degree and Higher | 23.8% (7,658) | 49.3% (37,825) |
Education Levels Comparison: Pasadena vs Pleasanton
- A higher percentage of residents in Pasadena have no formal schooling at 0.6% compared to 0.5% in Pleasanton.
- A higher percentage of residents in Pasadena hold a high school diploma at 17.5% compared to 6.2% in Pleasanton.
- More residents in Pasadena have less than a high school education at 8.8% compared to 3.8% in Pleasanton.
- In Pleasanton, a larger share of residents have a bachelor's degree or higher at 49.3% compared to 23.8% in Pasadena.
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.