Demographics details for Watertown, MA vs San dimas, CA
Population Overview
Compare main population characteristics in Watertown, MA vs San dimas, CA.
| Data | Watertown | San dimas |
|---|---|---|
| Population | 35,022 | 33,535 |
| Median Age | 38.2 years | 42.7 years |
| Median Income | $117,625 | $102,241 |
| Married Families | 42.0% | 44.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.4 | 5.2 |
Population Comparison: Watertown vs San dimas
- In Watertown, the population is higher at 35,022, compared to 33,535 in San dimas.
- The median age in San dimas is higher at 42.7 years, compared to 38.2 years in Watertown.
- Watertown has a higher median income of $117,625 compared to $102,241 in San dimas.
- In San dimas, the percentage of married families is higher at 44.0%, compared to 42.0% in Watertown.
- The poverty level is higher in San dimas at 9%, compared to 5% in Watertown.
- San dimas has a higher unemployment rate at 5.2% compared to 3.4% in Watertown.
Demographics
Demographics Watertown vs San dimas provide insight into the diversity of the communities to compare.
| Demographic | Watertown | San dimas |
|---|---|---|
| Black | 4 | 3 |
| White | 70 | 25 |
| Asian | 12 | 16 |
| Hispanic | 7 | 37 |
| Two or More Races | 7 | 18 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Watertown vs San dimas
- A higher percentage of Black residents are in Watertown at 4% compared to 3% in San dimas.
- Watertown has a higher percentage of White residents at 70% compared to 25% in San dimas.
- In San dimas, the Asian population stands at 16%, greater than 12% in Watertown.
- San dimas has a higher percentage of Hispanic residents at 37%, compared to 7% in Watertown.
- The percentage of residents identifying as two or more races is higher in San dimas at 18%, compared to 7% in Watertown.
- In San dimas, the percentage of American Indian residents is higher at 1%, compared to 0% in Watertown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | San dimas |
|---|---|---|
| Mental Health Not Good | 13.1% | 14.6% |
| Physical Health Not Good | 7.7% | 9.5% |
| Depression | 20.6% | 16.6% |
| Smoking | 8.6% | 9.3% |
| Binge Drinking | 19.3% | 16.7% |
| Obesity | 23.1% | 26.3% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Watertown vs San dimas
- In San dimas, a higher percentage report poor mental health at 14.6% compared to 13.1% in Watertown.
- Depression is more prevalent in Watertown at 20.6% compared to 16.6% in San dimas.
- San dimas has a higher smoking rate at 9.3% compared to 8.6% in Watertown.
- Binge drinking is more common in Watertown at 19.3% compared to 16.7% in San dimas.
- San dimas has higher obesity rates at 26.3% compared to 23.1% in Watertown.
- There is a higher percentage of disabled individuals in San dimas at 15.0% compared to 12.0% in Watertown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Watertown | San dimas |
|---|---|---|
| No Schooling | 0.9% (331) | 1.1% (362) |
| High School Diploma | 10.7% (3,731) | 13.8% (4,634) |
| Less than High School | 6.9% (2,426) | 8.5% (2,851) |
| Bachelor's Degree and Higher | 52.6% (18,420) | 28.3% (9,476) |
Education Levels Comparison: Watertown vs San dimas
- In San dimas, a larger percentage of residents lack formal schooling at 1.1% compared to 0.9% in Watertown.
- In San dimas, the rate of residents with high school diplomas is higher at 13.8% compared to 10.7% in Watertown.
- The percentage of residents with less than a high school education is higher in San dimas at 8.5%, compared to 6.9% in Watertown.
- A higher percentage of residents in Watertown hold a bachelor's degree or higher at 52.6% compared to 28.3% in San dimas.
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.