Demographics details for Waterbury, CT vs San dimas, CA
Population Overview
Compare main population characteristics in Waterbury, CT vs San dimas, CA.
| Data | Waterbury | San dimas |
|---|---|---|
| Population | 115,016 | 33,535 |
| Median Age | 36.7 years | 42.7 years |
| Median Income | $51,451 | $102,241 |
| Married Families | 28.0% | 44.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Waterbury vs San dimas
- In Waterbury, the population is higher at 115,016, compared to 33,535 in San dimas.
- The median age in San dimas is higher at 42.7 years, compared to 36.7 years in Waterbury.
- San dimas has a higher median income of $102,241, compared to $51,451 in Waterbury.
- In San dimas, the percentage of married families is higher at 44.0%, compared to 28.0% in Waterbury.
- Waterbury has a higher poverty level at 13% compared to 9% in San dimas.
- San dimas has a higher unemployment rate at 5.2% compared to 4.5% in Waterbury.
Demographics
Demographics Waterbury vs San dimas provide insight into the diversity of the communities to compare.
| Demographic | Waterbury | San dimas |
|---|---|---|
| Black | 28 | 3 |
| White | 22 | 25 |
| Asian | 3 | 16 |
| Hispanic | 36 | 37 |
| Two or More Races | 11 | 18 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterbury vs San dimas
- A higher percentage of Black residents are in Waterbury at 28% compared to 3% in San dimas.
- The percentage of White residents is higher in San dimas at 25% compared to 22% in Waterbury.
- In San dimas, the Asian population stands at 16%, greater than 3% in Waterbury.
- San dimas has a higher percentage of Hispanic residents at 37%, compared to 36% in Waterbury.
- The percentage of residents identifying as two or more races is higher in San dimas at 18%, compared to 11% in Waterbury.
- In San dimas, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterbury.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterbury | San dimas |
|---|---|---|
| Mental Health Not Good | 17.3% | 14.6% |
| Physical Health Not Good | 13.3% | 9.5% |
| Depression | 22.0% | 16.6% |
| Smoking | 21.8% | 9.3% |
| Binge Drinking | 13.7% | 16.7% |
| Obesity | 37.1% | 26.3% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Waterbury vs San dimas
- More residents in Waterbury report poor mental health at 17.3% compared to 14.6% in San dimas.
- Depression is more prevalent in Waterbury at 22.0% compared to 16.6% in San dimas.
- Smoking is more prevalent in Waterbury at 21.8% compared to 9.3% in San dimas.
- More residents engage in binge drinking in San dimas at 16.7% compared to 13.7% in Waterbury.
- Obesity rates are higher in Waterbury at 37.1% compared to 26.3% in San dimas.
- Disability percentages are higher in Waterbury at 16.0% compared to 15.0% in San dimas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterbury | San dimas |
|---|---|---|
| No Schooling | 1.9% (2,221) | 1.1% (362) |
| High School Diploma | 21.4% (24,629) | 13.8% (4,634) |
| Less than High School | 20.7% (23,816) | 8.5% (2,851) |
| Bachelor's Degree and Higher | 11.1% (12,745) | 28.3% (9,476) |
Education Levels Comparison: Waterbury vs San dimas
- A higher percentage of residents in Waterbury have no formal schooling at 1.9% compared to 1.1% in San dimas.
- A higher percentage of residents in Waterbury hold a high school diploma at 21.4% compared to 13.8% in San dimas.
- More residents in Waterbury have less than a high school education at 20.7% compared to 8.5% in San dimas.
- In San dimas, a larger share of residents have a bachelor's degree or higher at 28.3% compared to 11.1% in Waterbury.
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.