Demographics details for Watertown, SD vs Syracuse, NY
Population Overview
Compare main population characteristics in Watertown, SD vs Syracuse, NY.
| Data | Watertown | Syracuse |
|---|---|---|
| Population | 23,019 | 144,451 |
| Median Age | 38.9 years | 31.9 years |
| Median Income | $61,320 | $43,584 |
| Married Families | 40.0% | 22.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Watertown vs Syracuse
- The population in Syracuse is higher at 144,451, compared to 23,019 in Watertown.
- Residents in Watertown have a higher median age of 38.9 years compared to 31.9 years in Syracuse.
- Watertown has a higher median income of $61,320 compared to $43,584 in Syracuse.
- A higher percentage of married families is found in Watertown at 40.0% compared to 22.0% in Syracuse.
- Watertown has a higher poverty level at 10% compared to 0% in Syracuse.
- Syracuse has a higher unemployment rate at 5.1% compared to 3.5% in Watertown.
Demographics
Demographics Watertown vs Syracuse provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Syracuse |
|---|---|---|
| Black | 1 | 29 |
| White | 87 | 45 |
| Asian | 1 | 7 |
| Hispanic | 4 | 10 |
| Two or More Races | 4 | 8 |
| American Indian | 3 | 1 |
Demographics Comparison: Watertown vs Syracuse
- In Syracuse, the percentage of Black residents is higher at 29% compared to 1% in Watertown.
- Watertown has a higher percentage of White residents at 87% compared to 45% in Syracuse.
- In Syracuse, the Asian population stands at 7%, greater than 1% in Watertown.
- Syracuse has a higher percentage of Hispanic residents at 10%, compared to 4% in Watertown.
- The percentage of residents identifying as two or more races is higher in Syracuse at 8%, compared to 4% in Watertown.
- A greater percentage of American Indian residents live in Watertown at 3% compared to 1% in Syracuse.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Syracuse |
|---|---|---|
| Mental Health Not Good | 13.4% | 20.3% |
| Physical Health Not Good | 9.4% | 15.0% |
| Depression | 20.1% | 26.9% |
| Smoking | 18.3% | 26.9% |
| Binge Drinking | 20.1% | 14.0% |
| Obesity | 37.2% | 42.6% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Watertown vs Syracuse
- In Syracuse, a higher percentage report poor mental health at 20.3% compared to 13.4% in Watertown.
- Higher depression rates are seen in Syracuse at 26.9% versus 20.1% in Watertown.
- Syracuse has a higher smoking rate at 26.9% compared to 18.3% in Watertown.
- Binge drinking is more common in Watertown at 20.1% compared to 14.0% in Syracuse.
- Syracuse has higher obesity rates at 42.6% compared to 37.2% in Watertown.
- There is a higher percentage of disabled individuals in Syracuse at 16.0% compared to 13.0% in Watertown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Watertown | Syracuse |
|---|---|---|
| No Schooling | 1.6% (364) | 1.8% (2,595) |
| High School Diploma | 23.1% (5,313) | 12.7% (18,391) |
| Less than High School | 11.9% (2,738) | 14.1% (20,347) |
| Bachelor's Degree and Higher | 13.7% (3,162) | 18.5% (26,759) |
Education Levels Comparison: Watertown vs Syracuse
- In Syracuse, a larger percentage of residents lack formal schooling at 1.8% compared to 1.6% in Watertown.
- A higher percentage of residents in Watertown hold a high school diploma at 23.1% compared to 12.7% in Syracuse.
- The percentage of residents with less than a high school education is higher in Syracuse at 14.1%, compared to 11.9% in Watertown.
- In Syracuse, a larger share of residents have a bachelor's degree or higher at 18.5% 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.