Demographics details for Watertown, SD vs Gilbert, AZ
Population Overview
Compare main population characteristics in Watertown, SD vs Gilbert, AZ.
| Data | Watertown | Gilbert |
|---|---|---|
| Population | 23,019 | 275,346 |
| Median Age | 38.9 years | 35.4 years |
| Median Income | $61,320 | $115,179 |
| Married Families | 40.0% | 42.0% |
| Poverty Level | 10% | 6% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Watertown vs Gilbert
- The population in Gilbert is higher at 275,346, compared to 23,019 in Watertown.
- Residents in Watertown have a higher median age of 38.9 years compared to 35.4 years in Gilbert.
- Gilbert has a higher median income of $115,179, compared to $61,320 in Watertown.
- In Gilbert, the percentage of married families is higher at 42.0%, compared to 40.0% in Watertown.
- Watertown has a higher poverty level at 10% compared to 6% in Gilbert.
- The unemployment rate in Watertown is higher at 3.5%, compared to 3.0% in Gilbert.
Demographics
Demographics Watertown vs Gilbert provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Gilbert |
|---|---|---|
| Black | 1 | 4 |
| White | 87 | 62 |
| Asian | 1 | 6 |
| Hispanic | 4 | 17 |
| Two or More Races | 4 | 10 |
| American Indian | 3 | 1 |
Demographics Comparison: Watertown vs Gilbert
- In Gilbert, the percentage of Black residents is higher at 4% compared to 1% in Watertown.
- Watertown has a higher percentage of White residents at 87% compared to 62% in Gilbert.
- In Gilbert, the Asian population stands at 6%, greater than 1% in Watertown.
- Gilbert has a higher percentage of Hispanic residents at 17%, compared to 4% in Watertown.
- The percentage of residents identifying as two or more races is higher in Gilbert at 10%, compared to 4% in Watertown.
- A greater percentage of American Indian residents live in Watertown at 3% compared to 1% in Gilbert.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Gilbert |
|---|---|---|
| Mental Health Not Good | 13.4% | 15.2% |
| Physical Health Not Good | 9.4% | 8.4% |
| Depression | 20.1% | 19.0% |
| Smoking | 18.3% | 11.3% |
| Binge Drinking | 20.1% | 19.1% |
| Obesity | 37.2% | 27.2% |
| Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Watertown vs Gilbert
- In Gilbert, a higher percentage report poor mental health at 15.2% compared to 13.4% in Watertown.
- Depression is more prevalent in Watertown at 20.1% compared to 19.0% in Gilbert.
- Smoking is more prevalent in Watertown at 18.3% compared to 11.3% in Gilbert.
- Binge drinking is more common in Watertown at 20.1% compared to 19.1% in Gilbert.
- Obesity rates are higher in Watertown at 37.2% compared to 27.2% in Gilbert.
- Disability percentages are higher in Watertown at 13.0% compared to 7.0% in Gilbert.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Watertown | Gilbert |
|---|---|---|
| No Schooling | 1.6% (364) | 0.5% (1,279) |
| High School Diploma | 23.1% (5,313) | 8.1% (22,388) |
| Less than High School | 11.9% (2,738) | 4.0% (10,945) |
| Bachelor's Degree and Higher | 13.7% (3,162) | 28.4% (78,297) |
Education Levels Comparison: Watertown vs Gilbert
- A higher percentage of residents in Watertown have no formal schooling at 1.6% compared to 0.5% in Gilbert.
- A higher percentage of residents in Watertown hold a high school diploma at 23.1% compared to 8.1% in Gilbert.
- More residents in Watertown have less than a high school education at 11.9% compared to 4.0% in Gilbert.
- In Gilbert, a larger share of residents have a bachelor's degree or higher at 28.4% 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.