Demographics details for Freeland, WA vs Watertown, MA
Population Overview
Compare main population characteristics in Freeland, WA vs Watertown, MA.
| Data | Freeland | Watertown |
|---|---|---|
| Population | 1,894 | 35,022 |
| Median Age | 51.2 years | 38.2 years |
| Median Income | $89,868 | $117,625 |
| Married Families | 44.0% | 42.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 5.1 | 3.4 |
Population Comparison: Freeland vs Watertown
- The population in Watertown is higher at 35,022, compared to 1,894 in Freeland.
- Residents in Freeland have a higher median age of 51.2 years compared to 38.2 years in Watertown.
- Watertown has a higher median income of $117,625, compared to $89,868 in Freeland.
- A higher percentage of married families is found in Freeland at 44.0% compared to 42.0% in Watertown.
- The poverty level is identical in both Freeland and Watertown at 5%.
- The unemployment rate in Freeland is higher at 5.1%, compared to 3.4% in Watertown.
Demographics
Demographics Freeland vs Watertown provide insight into the diversity of the communities to compare.
| Demographic | Freeland | Watertown |
|---|---|---|
| Black | 3 | 4 |
| White | 86 | 70 |
| Asian | 1 | 12 |
| Hispanic | 3 | 7 |
| Two or More Races | 6 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Freeland vs Watertown
- In Watertown, the percentage of Black residents is higher at 4% compared to 3% in Freeland.
- Freeland has a higher percentage of White residents at 86% compared to 70% in Watertown.
- In Watertown, the Asian population stands at 12%, greater than 1% in Freeland.
- Watertown has a higher percentage of Hispanic residents at 7%, compared to 3% in Freeland.
- The percentage of residents identifying as two or more races is higher in Watertown at 7%, compared to 6% in Freeland.
- A greater percentage of American Indian residents live in Freeland at 1% compared to 0% in Watertown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Freeland | Watertown |
|---|---|---|
| Mental Health Not Good | 15.8% | 13.1% |
| Physical Health Not Good | 9.2% | 7.7% |
| Depression | 25.5% | 20.6% |
| Smoking | 11.8% | 8.6% |
| Binge Drinking | 18.0% | 19.3% |
| Obesity | 29.6% | 23.1% |
| Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Freeland vs Watertown
- More residents in Freeland report poor mental health at 15.8% compared to 13.1% in Watertown.
- Depression is more prevalent in Freeland at 25.5% compared to 20.6% in Watertown.
- Smoking is more prevalent in Freeland at 11.8% compared to 8.6% in Watertown.
- More residents engage in binge drinking in Watertown at 19.3% compared to 18.0% in Freeland.
- Obesity rates are higher in Freeland at 29.6% compared to 23.1% in Watertown.
- Disability percentages are higher in Freeland at 19.0% 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 | Freeland | Watertown |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (331) |
| High School Diploma | 8.1% (153) | 10.7% (3,731) |
| Less than High School | 8.7% (164) | 6.9% (2,426) |
| Bachelor's Degree and Higher | 28.9% (548) | 52.6% (18,420) |
Education Levels Comparison: Freeland vs Watertown
- In Watertown, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Freeland.
- In Watertown, the rate of residents with high school diplomas is higher at 10.7% compared to 8.1% in Freeland.
- More residents in Freeland have less than a high school education at 8.7% compared to 6.9% in Watertown.
- In Watertown, a larger share of residents have a bachelor's degree or higher at 52.6% compared to 28.9% in Freeland.
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.