Demographics details for Watertown, SD vs Severn, MD
Population Overview
Compare main population characteristics in Watertown, SD vs Severn, MD.
| Data | Watertown | Severn |
|---|---|---|
| Population | 23,019 | 56,438 |
| Median Age | 38.9 years | 35.9 years |
| Median Income | $61,320 | $125,330 |
| Married Families | 40.0% | 43.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Watertown vs Severn
- The population in Severn is higher at 56,438, compared to 23,019 in Watertown.
- Residents in Watertown have a higher median age of 38.9 years compared to 35.9 years in Severn.
- Severn has a higher median income of $125,330, compared to $61,320 in Watertown.
- In Severn, the percentage of married families is higher at 43.0%, compared to 40.0% in Watertown.
- Watertown has a higher poverty level at 10% compared to 5% in Severn.
- Severn has a higher unemployment rate at 4.0% compared to 3.5% in Watertown.
Demographics
Demographics Watertown vs Severn provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Severn |
|---|---|---|
| Black | 1 | 34 |
| White | 87 | 41 |
| Asian | 1 | 8 |
| Hispanic | 4 | 9 |
| Two or More Races | 4 | 8 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Watertown vs Severn
- In Severn, the percentage of Black residents is higher at 34% compared to 1% in Watertown.
- Watertown has a higher percentage of White residents at 87% compared to 41% in Severn.
- In Severn, the Asian population stands at 8%, greater than 1% in Watertown.
- Severn has a higher percentage of Hispanic residents at 9%, compared to 4% in Watertown.
- The percentage of residents identifying as two or more races is higher in Severn at 8%, compared to 4% in Watertown.
- A greater percentage of American Indian residents live in Watertown at 3% compared to 0% in Severn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Severn |
|---|---|---|
| Mental Health Not Good | 13.4% | 14.1% |
| Physical Health Not Good | 9.4% | 8.4% |
| Depression | 20.1% | 18.2% |
| Smoking | 18.3% | 11.1% |
| Binge Drinking | 20.1% | 16.1% |
| Obesity | 37.2% | 36.0% |
| Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Watertown vs Severn
- In Severn, a higher percentage report poor mental health at 14.1% compared to 13.4% in Watertown.
- Depression is more prevalent in Watertown at 20.1% compared to 18.2% in Severn.
- Smoking is more prevalent in Watertown at 18.3% compared to 11.1% in Severn.
- Binge drinking is more common in Watertown at 20.1% compared to 16.1% in Severn.
- Obesity rates are higher in Watertown at 37.2% compared to 36.0% in Severn.
- Disability percentages are higher in Watertown at 13.0% compared to 8.0% in Severn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Watertown | Severn |
|---|---|---|
| No Schooling | 1.6% (364) | 0.9% (487) |
| High School Diploma | 23.1% (5,313) | 12.9% (7,270) |
| Less than High School | 11.9% (2,738) | 6.1% (3,423) |
| Bachelor's Degree and Higher | 13.7% (3,162) | 29.5% (16,630) |
Education Levels Comparison: Watertown vs Severn
- A higher percentage of residents in Watertown have no formal schooling at 1.6% compared to 0.9% in Severn.
- A higher percentage of residents in Watertown hold a high school diploma at 23.1% compared to 12.9% in Severn.
- More residents in Watertown have less than a high school education at 11.9% compared to 6.1% in Severn.
- In Severn, a larger share of residents have a bachelor's degree or higher at 29.5% compared to 13.7% in Watertown.
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.