Demographics details for Watertown, SD vs Berkshire, NY
Population Overview
Compare main population characteristics in Watertown, SD vs Berkshire, NY.
Data | Watertown | Berkshire |
---|---|---|
Population | 23,019 | 1,412 |
Median Age | 38.9 years | 38.0 years |
Median Income | $61,320 | $60,000 |
Married Families | 40.0% | 45.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Watertown vs Berkshire
- In Watertown, the population is higher at 23,019, compared to 1,412 in Berkshire.
- Residents in Watertown have a higher median age of 38.9 years compared to 38.0 years in Berkshire.
- Watertown has a higher median income of $61,320 compared to $60,000 in Berkshire.
- In Berkshire, the percentage of married families is higher at 45.0%, compared to 40.0% in Watertown.
- The poverty level is identical in both Watertown and Berkshire at 10%.
- Berkshire has a higher unemployment rate at 5.0% compared to 3.5% in Watertown.
Demographics
Demographics Watertown vs Berkshire provide insight into the diversity of the communities to compare.
Demographic | Watertown | Berkshire |
---|---|---|
Black | 1 | Data is updating |
White | 87 | 95 |
Asian | 1 | Data is updating |
Hispanic | 4 | 2 |
Two or More Races | 4 | 3 |
American Indian | 3 | Data is updating |
Demographics Comparison: Watertown vs Berkshire
- A higher percentage of Black residents are in Watertown at 1% compared to 0% in Berkshire.
- The percentage of White residents is higher in Berkshire at 95% compared to 87% in Watertown.
- The Asian population is larger in Watertown at 1% compared to 0% in Berkshire.
- The Hispanic community is larger in Watertown at 4% compared to 2% in Berkshire.
- More residents identify as two or more races in Watertown at 4% compared to 3% in Berkshire.
- A greater percentage of American Indian residents live in Watertown at 3% compared to 0% in Berkshire.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Watertown | Berkshire |
---|---|---|
Mental Health Not Good | 13.4% | Data is updating% |
Physical Health Not Good | 9.4% | Data is updating% |
Depression | 20.1% | Data is updating% |
Smoking | 18.3% | Data is updating% |
Binge Drinking | 20.1% | Data is updating% |
Obesity | 37.2% | Data is updating% |
Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Watertown vs Berkshire
- More residents in Watertown report poor mental health at 13.4% compared to 0.0% in Berkshire.
- Depression is more prevalent in Watertown at 20.1% compared to 0.0% in Berkshire.
- Smoking is more prevalent in Watertown at 18.3% compared to 0.0% in Berkshire.
- Binge drinking is more common in Watertown at 20.1% compared to 0.0% in Berkshire.
- Obesity rates are higher in Watertown at 37.2% compared to 0.0% in Berkshire.
- Disability percentages are higher in Watertown at 13.0% compared to 0.0% in Berkshire.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Watertown | Berkshire |
---|---|---|
No Schooling | 1.6% (364) | 0.0% (Data is updating) |
High School Diploma | 23.1% (5,313) | 0.0% (Data is updating) |
Less than High School | 11.9% (2,738) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 13.7% (3,162) | 0.0% (Data is updating) |
Education Levels Comparison: Watertown vs Berkshire
- A higher percentage of residents in Watertown have no formal schooling at 1.6% compared to 0.0% in Berkshire.
- A higher percentage of residents in Watertown hold a high school diploma at 23.1% compared to 0.0% in Berkshire.
- More residents in Watertown have less than a high school education at 11.9% compared to 0.0% in Berkshire.
- A higher percentage of residents in Watertown hold a bachelor's degree or higher at 13.7% compared to 0.0% in Berkshire.
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.