Demographics details for Watertown, SD vs Montour falls, NY
Population Overview
Compare main population characteristics in Watertown, SD vs Montour falls, NY.
Data | Watertown | Montour falls |
---|---|---|
Population | 23,019 | 1,583 |
Median Age | 38.9 years | 44.8 years |
Median Income | $61,320 | $33,977 |
Married Families | 40.0% | 39.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Watertown vs Montour falls
- In Watertown, the population is higher at 23,019, compared to 1,583 in Montour falls.
- The median age in Montour falls is higher at 44.8 years, compared to 38.9 years in Watertown.
- Watertown has a higher median income of $61,320 compared to $33,977 in Montour falls.
- A higher percentage of married families is found in Watertown at 40.0% compared to 39.0% in Montour falls.
- The poverty level is identical in both Watertown and Montour falls at 10%.
- Montour falls has a higher unemployment rate at 5.2% compared to 3.5% in Watertown.
Demographics
Demographics Watertown vs Montour falls provide insight into the diversity of the communities to compare.
Demographic | Watertown | Montour falls |
---|---|---|
Black | 1 | 2 |
White | 87 | 92 |
Asian | 1 | Data is updating |
Hispanic | 4 | 1 |
Two or More Races | 4 | 4 |
American Indian | 3 | 1 |
Demographics Comparison: Watertown vs Montour falls
- In Montour falls, the percentage of Black residents is higher at 2% compared to 1% in Watertown.
- The percentage of White residents is higher in Montour falls at 92% compared to 87% in Watertown.
- The Asian population is larger in Watertown at 1% compared to 0% in Montour falls.
- The Hispanic community is larger in Watertown at 4% compared to 1% in Montour falls.
- Both Watertown and Montour falls 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 Montour falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Watertown | Montour falls |
---|---|---|
Mental Health Not Good | 13.4% | 17.3% |
Physical Health Not Good | 9.4% | 11.3% |
Depression | 20.1% | 25.1% |
Smoking | 18.3% | 21.1% |
Binge Drinking | 20.1% | 19.5% |
Obesity | 37.2% | 35.2% |
Disability Percentage | 13.0% | 26.0% |
Health Statistics Comparison: Watertown vs Montour falls
- In Montour falls, a higher percentage report poor mental health at 17.3% compared to 13.4% in Watertown.
- Higher depression rates are seen in Montour falls at 25.1% versus 20.1% in Watertown.
- Montour falls has a higher smoking rate at 21.1% compared to 18.3% in Watertown.
- Binge drinking is more common in Watertown at 20.1% compared to 19.5% in Montour falls.
- Obesity rates are higher in Watertown at 37.2% compared to 35.2% in Montour falls.
- There is a higher percentage of disabled individuals in Montour falls at 26.0% 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 | Montour falls |
---|---|---|
No Schooling | 1.6% (364) | 0.0% (Data is updating) |
High School Diploma | 23.1% (5,313) | 25.2% (399) |
Less than High School | 11.9% (2,738) | 14.5% (230) |
Bachelor's Degree and Higher | 13.7% (3,162) | 15.5% (245) |
Education Levels Comparison: Watertown vs Montour falls
- A higher percentage of residents in Watertown have no formal schooling at 1.6% compared to 0.0% in Montour falls.
- In Montour falls, the rate of residents with high school diplomas is higher at 25.2% compared to 23.1% in Watertown.
- The percentage of residents with less than a high school education is higher in Montour falls at 14.5%, compared to 11.9% in Watertown.
- In Montour falls, a larger share of residents have a bachelor's degree or higher at 15.5% 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.