Demographics details for Watertown, MA vs Florence, OR
Population Overview
Compare main population characteristics in Watertown, MA vs Florence, OR.
| Data | Watertown | Florence |
|---|---|---|
| Population | 35,022 | 9,376 |
| Median Age | 38.2 years | 57.7 years |
| Median Income | $117,625 | $57,568 |
| Married Families | 42.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Watertown vs Florence
- In Watertown, the population is higher at 35,022, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 38.2 years in Watertown.
- Watertown has a higher median income of $117,625 compared to $57,568 in Florence.
- The percentage of married families is the same in both Watertown and Florence at 42.0%.
- The poverty level is higher in Florence at 10%, compared to 5% in Watertown.
- Florence has a higher unemployment rate at 4.5% compared to 3.4% in Watertown.
Demographics
Demographics Watertown vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Florence |
|---|---|---|
| Black | 4 | 2 |
| White | 70 | 87 |
| Asian | 12 | 2 |
| Hispanic | 7 | 5 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Watertown vs Florence
- A higher percentage of Black residents are in Watertown at 4% compared to 2% in Florence.
- The percentage of White residents is higher in Florence at 87% compared to 70% in Watertown.
- The Asian population is larger in Watertown at 12% compared to 2% in Florence.
- The Hispanic community is larger in Watertown at 7% compared to 5% in Florence.
- More residents identify as two or more races in Watertown at 7% compared to 3% in Florence.
- In Florence, 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 | Florence |
|---|---|---|
| Mental Health Not Good | 13.1% | 19.8% |
| Physical Health Not Good | 7.7% | 13.1% |
| Depression | 20.6% | 29.2% |
| Smoking | 8.6% | 16.7% |
| Binge Drinking | 19.3% | 17.0% |
| Obesity | 23.1% | 36.0% |
| Disability Percentage | 12.0% | 25.0% |
Health Statistics Comparison: Watertown vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 13.1% in Watertown.
- Higher depression rates are seen in Florence at 29.2% versus 20.6% in Watertown.
- Florence has a higher smoking rate at 16.7% compared to 8.6% in Watertown.
- Binge drinking is more common in Watertown at 19.3% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 23.1% in Watertown.
- There is a higher percentage of disabled individuals in Florence at 25.0% 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 | Florence |
|---|---|---|
| No Schooling | 0.9% (331) | 0.4% (35) |
| High School Diploma | 10.7% (3,731) | 14.2% (1,331) |
| Less than High School | 6.9% (2,426) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 52.6% (18,420) | 19.9% (1,865) |
Education Levels Comparison: Watertown vs Florence
- A higher percentage of residents in Watertown have no formal schooling at 0.9% compared to 0.4% in Florence.
- In Florence, the rate of residents with high school diplomas is higher at 14.2% compared to 10.7% in Watertown.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, 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 19.9% in Florence.
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.