Demographics details for Worcester, MA vs Pleasanton, CA
Population Overview
Compare main population characteristics in Worcester, MA vs Pleasanton, CA.
| Data | Worcester | Pleasanton |
|---|---|---|
| Population | 205,319 | 76,689 |
| Median Age | 34.3 years | 41.5 years |
| Median Income | $63,011 | $181,639 |
| Married Families | 29.0% | 53.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 4.8 | 4.3 |
Population Comparison: Worcester vs Pleasanton
- In Worcester, the population is higher at 205,319, compared to 76,689 in Pleasanton.
- The median age in Pleasanton is higher at 41.5 years, compared to 34.3 years in Worcester.
- Pleasanton has a higher median income of $181,639, compared to $63,011 in Worcester.
- In Pleasanton, the percentage of married families is higher at 53.0%, compared to 29.0% in Worcester.
- Worcester has a higher poverty level at 12% compared to 7% in Pleasanton.
- The unemployment rate in Worcester is higher at 4.8%, compared to 4.3% in Pleasanton.
Demographics
Demographics Worcester vs Pleasanton provide insight into the diversity of the communities to compare.
| Demographic | Worcester | Pleasanton |
|---|---|---|
| Black | 13 | 2 |
| White | 44 | 37 |
| Asian | 7 | 42 |
| Hispanic | 24 | 12 |
| Two or More Races | 12 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Worcester vs Pleasanton
- A higher percentage of Black residents are in Worcester at 13% compared to 2% in Pleasanton.
- Worcester has a higher percentage of White residents at 44% compared to 37% in Pleasanton.
- In Pleasanton, the Asian population stands at 42%, greater than 7% in Worcester.
- The Hispanic community is larger in Worcester at 24% compared to 12% in Pleasanton.
- More residents identify as two or more races in Worcester at 12% compared to 7% in Pleasanton.
- The percentage of American Indian residents is the same in both Worcester and Pleasanton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Worcester | Pleasanton |
|---|---|---|
| Mental Health Not Good | 18.7% | 13.1% |
| Physical Health Not Good | 11.8% | 7.3% |
| Depression | 23.1% | 17.6% |
| Smoking | 17.1% | 7.2% |
| Binge Drinking | 15.5% | 17.2% |
| Obesity | 34.8% | 22.9% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Worcester vs Pleasanton
- More residents in Worcester report poor mental health at 18.7% compared to 13.1% in Pleasanton.
- Depression is more prevalent in Worcester at 23.1% compared to 17.6% in Pleasanton.
- Smoking is more prevalent in Worcester at 17.1% compared to 7.2% in Pleasanton.
- More residents engage in binge drinking in Pleasanton at 17.2% compared to 15.5% in Worcester.
- Obesity rates are higher in Worcester at 34.8% compared to 22.9% in Pleasanton.
- Disability percentages are higher in Worcester at 14.0% 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 | Worcester | Pleasanton |
|---|---|---|
| No Schooling | 1.7% (3,577) | 0.5% (407) |
| High School Diploma | 15.6% (31,987) | 6.2% (4,722) |
| Less than High School | 16.0% (32,925) | 3.8% (2,941) |
| Bachelor's Degree and Higher | 21.5% (44,155) | 49.3% (37,825) |
Education Levels Comparison: Worcester vs Pleasanton
- A higher percentage of residents in Worcester have no formal schooling at 1.7% compared to 0.5% in Pleasanton.
- A higher percentage of residents in Worcester hold a high school diploma at 15.6% compared to 6.2% in Pleasanton.
- More residents in Worcester have less than a high school education at 16.0% 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 21.5% in Worcester.
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.