Demographics details for Watertown, SD vs Ashland, OH
Population Overview
Compare main population characteristics in Watertown, SD vs Ashland, OH.
| Data | Watertown | Ashland |
|---|---|---|
| Population | 23,019 | 19,015 |
| Median Age | 38.9 years | 38.8 years |
| Median Income | $61,320 | $56,040 |
| Married Families | 40.0% | 38.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Watertown vs Ashland
- In Watertown, the population is higher at 23,019, compared to 19,015 in Ashland.
- Residents in Watertown have a higher median age of 38.9 years compared to 38.8 years in Ashland.
- Watertown has a higher median income of $61,320 compared to $56,040 in Ashland.
- A higher percentage of married families is found in Watertown at 40.0% compared to 38.0% in Ashland.
- The poverty level is higher in Ashland at 11%, compared to 10% in Watertown.
- Ashland has a higher unemployment rate at 4.2% compared to 3.5% in Watertown.
Demographics
Demographics Watertown vs Ashland provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Ashland |
|---|---|---|
| Black | 1 | 2 |
| White | 87 | 91 |
| Asian | 1 | 1 |
| Hispanic | 4 | 2 |
| Two or More Races | 4 | 4 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Watertown vs Ashland
- In Ashland, the percentage of Black residents is higher at 2% compared to 1% in Watertown.
- The percentage of White residents is higher in Ashland at 91% compared to 87% in Watertown.
- Both Watertown and Ashland have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Watertown at 4% compared to 2% in Ashland.
- Both Watertown and Ashland have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Watertown at 3% compared to 0% in Ashland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Ashland |
|---|---|---|
| Mental Health Not Good | 13.4% | 18.2% |
| Physical Health Not Good | 9.4% | 12.1% |
| Depression | 20.1% | 24.6% |
| Smoking | 18.3% | 20.6% |
| Binge Drinking | 20.1% | 18.1% |
| Obesity | 37.2% | 38.7% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Watertown vs Ashland
- In Ashland, a higher percentage report poor mental health at 18.2% compared to 13.4% in Watertown.
- Higher depression rates are seen in Ashland at 24.6% versus 20.1% in Watertown.
- Ashland has a higher smoking rate at 20.6% compared to 18.3% in Watertown.
- Binge drinking is more common in Watertown at 20.1% compared to 18.1% in Ashland.
- Ashland has higher obesity rates at 38.7% compared to 37.2% in Watertown.
- There is a higher percentage of disabled individuals in Ashland 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 | Ashland |
|---|---|---|
| No Schooling | 1.6% (364) | 0.1% (28) |
| High School Diploma | 23.1% (5,313) | 23.0% (4,380) |
| Less than High School | 11.9% (2,738) | 12.3% (2,337) |
| Bachelor's Degree and Higher | 13.7% (3,162) | 16.6% (3,160) |
Education Levels Comparison: Watertown vs Ashland
- A higher percentage of residents in Watertown have no formal schooling at 1.6% compared to 0.1% in Ashland.
- A higher percentage of residents in Watertown hold a high school diploma at 23.1% compared to 23.0% in Ashland.
- The percentage of residents with less than a high school education is higher in Ashland at 12.3%, compared to 11.9% in Watertown.
- In Ashland, a larger share of residents have a bachelor's degree or higher at 16.6% 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.