Demographics details for Prescott valley, AZ vs Watertown, SD
Population Overview
Compare main population characteristics in Prescott valley, AZ vs Watertown, SD.
Data | Prescott valley | Watertown |
---|---|---|
Population | 49,075 | 23,019 |
Median Age | 47.7 years | 38.9 years |
Median Income | $66,617 | $61,320 |
Married Families | 43.0% | 40.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Prescott valley vs Watertown
- In Prescott valley, the population is higher at 49,075, compared to 23,019 in Watertown.
- Residents in Prescott valley have a higher median age of 47.7 years compared to 38.9 years in Watertown.
- Prescott valley has a higher median income of $66,617 compared to $61,320 in Watertown.
- A higher percentage of married families is found in Prescott valley at 43.0% compared to 40.0% in Watertown.
- The poverty level is higher in Watertown at 10%, compared to 6% in Prescott valley.
- Watertown has a higher unemployment rate at 3.5% compared to 3.4% in Prescott valley.
Demographics
Demographics Prescott valley vs Watertown provide insight into the diversity of the communities to compare.
Demographic | Prescott valley | Watertown |
---|---|---|
Black | 1 | 1 |
White | 67 | 87 |
Asian | 1 | 1 |
Hispanic | 19 | 4 |
Two or More Races | 11 | 4 |
American Indian | 1 | 3 |
Demographics Comparison: Prescott valley vs Watertown
- The percentage of Black residents is the same in both Prescott valley and Watertown at 1%.
- The percentage of White residents is higher in Watertown at 87% compared to 67% in Prescott valley.
- Both Prescott valley and Watertown have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Prescott valley at 19% compared to 4% in Watertown.
- More residents identify as two or more races in Prescott valley at 11% compared to 4% in Watertown.
- In Watertown, the percentage of American Indian residents is higher at 3%, compared to 1% in Prescott valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Prescott valley | Watertown |
---|---|---|
Mental Health Not Good | 18.6% | 13.4% |
Physical Health Not Good | 11.9% | 9.4% |
Depression | 22.8% | 20.1% |
Smoking | 18.5% | 18.3% |
Binge Drinking | 16.6% | 20.1% |
Obesity | 28.1% | 37.2% |
Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Prescott valley vs Watertown
- More residents in Prescott valley report poor mental health at 18.6% compared to 13.4% in Watertown.
- Depression is more prevalent in Prescott valley at 22.8% compared to 20.1% in Watertown.
- Smoking is more prevalent in Prescott valley at 18.5% compared to 18.3% in Watertown.
- More residents engage in binge drinking in Watertown at 20.1% compared to 16.6% in Prescott valley.
- Watertown has higher obesity rates at 37.2% compared to 28.1% in Prescott valley.
- Disability percentages are higher in Prescott valley 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 | Prescott valley | Watertown |
---|---|---|
No Schooling | 0.8% (399) | 1.6% (364) |
High School Diploma | 17.1% (8,386) | 23.1% (5,313) |
Less than High School | 12.3% (6,044) | 11.9% (2,738) |
Bachelor's Degree and Higher | 15.9% (7,817) | 13.7% (3,162) |
Education Levels Comparison: Prescott valley vs Watertown
- In Watertown, a larger percentage of residents lack formal schooling at 1.6% compared to 0.8% in Prescott valley.
- In Watertown, the rate of residents with high school diplomas is higher at 23.1% compared to 17.1% in Prescott valley.
- More residents in Prescott valley have less than a high school education at 12.3% compared to 11.9% in Watertown.
- A higher percentage of residents in Prescott valley hold a bachelor's degree or higher at 15.9% 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.