Demographics details for Watertown, SD vs Pine, AZ
Population Overview
Compare main population characteristics in Watertown, SD vs Pine, AZ.
| Data | Watertown | Pine |
|---|---|---|
| Population | 23,019 | 1,526 |
| Median Age | 38.9 years | 68.7 years |
| Median Income | $61,320 | $54,720 |
| Married Families | 40.0% | 64.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Watertown vs Pine
- In Watertown, the population is higher at 23,019, compared to 1,526 in Pine.
- The median age in Pine is higher at 68.7 years, compared to 38.9 years in Watertown.
- Watertown has a higher median income of $61,320 compared to $54,720 in Pine.
- In Pine, the percentage of married families is higher at 64.0%, compared to 40.0% in Watertown.
- The poverty level is identical in both Watertown and Pine at 10%.
- Pine has a higher unemployment rate at 4.2% compared to 3.5% in Watertown.
Demographics
Demographics Watertown vs Pine provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Pine |
|---|---|---|
| Black | 1 | Data is updating |
| White | 87 | 96 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 4 | Data is updating |
| American Indian | 3 | Data is updating |
Demographics Comparison: Watertown vs Pine
- A higher percentage of Black residents are in Watertown at 1% compared to 0% in Pine.
- The percentage of White residents is higher in Pine at 96% compared to 87% in Watertown.
- The Asian population is larger in Watertown at 1% compared to 0% in Pine.
- The percentage of Hispanic residents is the same in both Watertown and Pine at 4%.
- More residents identify as two or more races in Watertown at 4% compared to 0% in Pine.
- A greater percentage of American Indian residents live in Watertown at 3% compared to 0% in Pine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Pine |
|---|---|---|
| Mental Health Not Good | 13.4% | 16.5% |
| Physical Health Not Good | 9.4% | 9.8% |
| Depression | 20.1% | 20.3% |
| Smoking | 18.3% | 15.0% |
| Binge Drinking | 20.1% | 21.2% |
| Obesity | 37.2% | 31.2% |
| Disability Percentage | 13.0% | 36.0% |
Health Statistics Comparison: Watertown vs Pine
- In Pine, a higher percentage report poor mental health at 16.5% compared to 13.4% in Watertown.
- Higher depression rates are seen in Pine at 20.3% versus 20.1% in Watertown.
- Smoking is more prevalent in Watertown at 18.3% compared to 15.0% in Pine.
- More residents engage in binge drinking in Pine at 21.2% compared to 20.1% in Watertown.
- Obesity rates are higher in Watertown at 37.2% compared to 31.2% in Pine.
- There is a higher percentage of disabled individuals in Pine at 36.0% 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 | Pine |
|---|---|---|
| No Schooling | 1.6% (364) | 0.0% (Data is updating) |
| High School Diploma | 23.1% (5,313) | 21.5% (328) |
| Less than High School | 11.9% (2,738) | 3.8% (58) |
| Bachelor's Degree and Higher | 13.7% (3,162) | 26.6% (406) |
Education Levels Comparison: Watertown vs Pine
- A higher percentage of residents in Watertown have no formal schooling at 1.6% compared to 0.0% in Pine.
- A higher percentage of residents in Watertown hold a high school diploma at 23.1% compared to 21.5% in Pine.
- More residents in Watertown have less than a high school education at 11.9% compared to 3.8% in Pine.
- In Pine, a larger share of residents have a bachelor's degree or higher at 26.6% 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.