Demographics details for Watertown, SD vs Helena, MT
Population Overview
Compare main population characteristics in Watertown, SD vs Helena, MT.
| Data | Watertown | Helena |
|---|---|---|
| Population | 23,019 | 33,885 |
| Median Age | 38.9 years | 39.9 years |
| Median Income | $61,320 | $64,798 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Watertown vs Helena
- The population in Helena is higher at 33,885, compared to 23,019 in Watertown.
- The median age in Helena is higher at 39.9 years, compared to 38.9 years in Watertown.
- Helena has a higher median income of $64,798, compared to $61,320 in Watertown.
- A higher percentage of married families is found in Watertown at 40.0% compared to 34.0% in Helena.
- The poverty level is identical in both Watertown and Helena at 10%.
- The unemployment rate in Watertown is higher at 3.5%, compared to 3.0% in Helena.
Demographics
Demographics Watertown vs Helena provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Helena |
|---|---|---|
| Black | 1 | 1 |
| White | 87 | 88 |
| Asian | 1 | 1 |
| Hispanic | 4 | 5 |
| Two or More Races | 4 | 4 |
| American Indian | 3 | 1 |
Demographics Comparison: Watertown vs Helena
- The percentage of Black residents is the same in both Watertown and Helena at 1%.
- The percentage of White residents is higher in Helena at 88% compared to 87% in Watertown.
- Both Watertown and Helena have the same percentage of Asian residents at 1%.
- Helena has a higher percentage of Hispanic residents at 5%, compared to 4% in Watertown.
- Both Watertown and Helena 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 1% in Helena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Helena |
|---|---|---|
| Mental Health Not Good | 13.4% | 14.8% |
| Physical Health Not Good | 9.4% | 9.6% |
| Depression | 20.1% | 23.5% |
| Smoking | 18.3% | 13.1% |
| Binge Drinking | 20.1% | 21.9% |
| Obesity | 37.2% | 30.4% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Watertown vs Helena
- In Helena, a higher percentage report poor mental health at 14.8% compared to 13.4% in Watertown.
- Higher depression rates are seen in Helena at 23.5% versus 20.1% in Watertown.
- Smoking is more prevalent in Watertown at 18.3% compared to 13.1% in Helena.
- More residents engage in binge drinking in Helena at 21.9% compared to 20.1% in Watertown.
- Obesity rates are higher in Watertown at 37.2% compared to 30.4% in Helena.
- Disability percentages are higher in Watertown at 13.0% compared to 12.0% in Helena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Watertown | Helena |
|---|---|---|
| No Schooling | 1.6% (364) | 0.1% (38) |
| High School Diploma | 23.1% (5,313) | 10.0% (3,385) |
| Less than High School | 11.9% (2,738) | 4.7% (1,597) |
| Bachelor's Degree and Higher | 13.7% (3,162) | 34.3% (11,632) |
Education Levels Comparison: Watertown vs Helena
- A higher percentage of residents in Watertown have no formal schooling at 1.6% compared to 0.1% in Helena.
- A higher percentage of residents in Watertown hold a high school diploma at 23.1% compared to 10.0% in Helena.
- More residents in Watertown have less than a high school education at 11.9% compared to 4.7% in Helena.
- In Helena, a larger share of residents have a bachelor's degree or higher at 34.3% 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.