Demographics details for Bellevue, WA vs Watertown, MA
Population Overview
Compare main population characteristics in Bellevue, WA vs Watertown, MA.
| Data | Bellevue | Watertown |
|---|---|---|
| Population | 152,767 | 35,022 |
| Median Age | 38.3 years | 38.2 years |
| Median Income | $149,551 | $117,625 |
| Married Families | 47.0% | 42.0% |
| Poverty Level | 6% | 5% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Bellevue vs Watertown
- In Bellevue, the population is higher at 152,767, compared to 35,022 in Watertown.
- Residents in Bellevue have a higher median age of 38.3 years compared to 38.2 years in Watertown.
- Bellevue has a higher median income of $149,551 compared to $117,625 in Watertown.
- A higher percentage of married families is found in Bellevue at 47.0% compared to 42.0% in Watertown.
- Bellevue has a higher poverty level at 6% compared to 5% in Watertown.
- The unemployment rate in Bellevue is higher at 4.5%, compared to 3.4% in Watertown.
Demographics
Demographics Bellevue vs Watertown provide insight into the diversity of the communities to compare.
| Demographic | Bellevue | Watertown |
|---|---|---|
| Black | 3 | 4 |
| White | 42 | 70 |
| Asian | 39 | 12 |
| Hispanic | 8 | 7 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bellevue vs Watertown
- In Watertown, the percentage of Black residents is higher at 4% compared to 3% in Bellevue.
- The percentage of White residents is higher in Watertown at 70% compared to 42% in Bellevue.
- The Asian population is larger in Bellevue at 39% compared to 12% in Watertown.
- The Hispanic community is larger in Bellevue at 8% compared to 7% in Watertown.
- More residents identify as two or more races in Bellevue at 8% compared to 7% in Watertown.
- The percentage of American Indian residents is the same in both Bellevue and Watertown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bellevue | Watertown |
|---|---|---|
| Mental Health Not Good | 13.2% | 13.1% |
| Physical Health Not Good | 7.4% | 7.7% |
| Depression | 21.1% | 20.6% |
| Smoking | 7.1% | 8.6% |
| Binge Drinking | 16.7% | 19.3% |
| Obesity | 20.6% | 23.1% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Bellevue vs Watertown
- More residents in Bellevue report poor mental health at 13.2% compared to 13.1% in Watertown.
- Depression is more prevalent in Bellevue at 21.1% compared to 20.6% in Watertown.
- Watertown has a higher smoking rate at 8.6% compared to 7.1% in Bellevue.
- More residents engage in binge drinking in Watertown at 19.3% compared to 16.7% in Bellevue.
- Watertown has higher obesity rates at 23.1% compared to 20.6% in Bellevue.
- There is a higher percentage of disabled individuals in Watertown at 12.0% compared to 8.0% in Bellevue.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bellevue | Watertown |
|---|---|---|
| No Schooling | 0.7% (1,085) | 0.9% (331) |
| High School Diploma | 5.5% (8,350) | 10.7% (3,731) |
| Less than High School | 4.9% (7,415) | 6.9% (2,426) |
| Bachelor's Degree and Higher | 50.6% (77,279) | 52.6% (18,420) |
Education Levels Comparison: Bellevue vs Watertown
- In Watertown, a larger percentage of residents lack formal schooling at 0.9% compared to 0.7% in Bellevue.
- In Watertown, the rate of residents with high school diplomas is higher at 10.7% compared to 5.5% in Bellevue.
- The percentage of residents with less than a high school education is higher in Watertown at 6.9%, compared to 4.9% in Bellevue.
- In Watertown, a larger share of residents have a bachelor's degree or higher at 52.6% compared to 50.6% in Bellevue.
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.