Demographics details for Watertown, MA vs Augusta, KY
Population Overview
Compare main population characteristics in Watertown, MA vs Augusta, KY.
| Data | Watertown | Augusta |
|---|---|---|
| Population | 35,022 | 1,098 |
| Median Age | 38.2 years | 36.4 years |
| Median Income | $117,625 | $50,135 |
| Married Families | 42.0% | 41.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Watertown vs Augusta
- In Watertown, the population is higher at 35,022, compared to 1,098 in Augusta.
- Residents in Watertown have a higher median age of 38.2 years compared to 36.4 years in Augusta.
- Watertown has a higher median income of $117,625 compared to $50,135 in Augusta.
- A higher percentage of married families is found in Watertown at 42.0% compared to 41.0% in Augusta.
- The poverty level is higher in Augusta at 10%, compared to 5% in Watertown.
- Augusta has a higher unemployment rate at 4.5% compared to 3.4% in Watertown.
Demographics
Demographics Watertown vs Augusta provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Augusta |
|---|---|---|
| Black | 4 | 2 |
| White | 70 | 86 |
| Asian | 12 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 7 | Data is updating |
| American Indian | Data is updating | 12 |
Demographics Comparison: Watertown vs Augusta
- A higher percentage of Black residents are in Watertown at 4% compared to 2% in Augusta.
- The percentage of White residents is higher in Augusta at 86% compared to 70% in Watertown.
- The Asian population is larger in Watertown at 12% compared to 0% in Augusta.
- The Hispanic community is larger in Watertown at 7% compared to 0% in Augusta.
- More residents identify as two or more races in Watertown at 7% compared to 0% in Augusta.
- In Augusta, the percentage of American Indian residents is higher at 12%, compared to 0% in Watertown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Augusta |
|---|---|---|
| Mental Health Not Good | 13.1% | 20.0% |
| Physical Health Not Good | 7.7% | 14.8% |
| Depression | 20.6% | 28.9% |
| Smoking | 8.6% | 24.3% |
| Binge Drinking | 19.3% | 15.3% |
| Obesity | 23.1% | 38.1% |
| Disability Percentage | 12.0% | 24.0% |
Health Statistics Comparison: Watertown vs Augusta
- In Augusta, a higher percentage report poor mental health at 20.0% compared to 13.1% in Watertown.
- Higher depression rates are seen in Augusta at 28.9% versus 20.6% in Watertown.
- Augusta has a higher smoking rate at 24.3% compared to 8.6% in Watertown.
- Binge drinking is more common in Watertown at 19.3% compared to 15.3% in Augusta.
- Augusta has higher obesity rates at 38.1% compared to 23.1% in Watertown.
- There is a higher percentage of disabled individuals in Augusta at 24.0% 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 | Augusta |
|---|---|---|
| No Schooling | 0.9% (331) | 0.5% (5) |
| High School Diploma | 10.7% (3,731) | 33.2% (365) |
| Less than High School | 6.9% (2,426) | 18.9% (208) |
| Bachelor's Degree and Higher | 52.6% (18,420) | 24.3% (267) |
Education Levels Comparison: Watertown vs Augusta
- A higher percentage of residents in Watertown have no formal schooling at 0.9% compared to 0.5% in Augusta.
- In Augusta, the rate of residents with high school diplomas is higher at 33.2% compared to 10.7% in Watertown.
- The percentage of residents with less than a high school education is higher in Augusta at 18.9%, 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 24.3% in Augusta.
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.