Demographics details for Sand springs, OK vs Watertown, MA
Population Overview
Compare main population characteristics in Sand springs, OK vs Watertown, MA.
| Data | Sand springs | Watertown |
|---|---|---|
| Population | 20,031 | 35,022 |
| Median Age | 36.6 years | 38.2 years |
| Median Income | $70,431 | $117,625 |
| Married Families | 41.0% | 42.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 3.8 | 3.4 |
Population Comparison: Sand springs vs Watertown
- The population in Watertown is higher at 35,022, compared to 20,031 in Sand springs.
- The median age in Watertown is higher at 38.2 years, compared to 36.6 years in Sand springs.
- Watertown has a higher median income of $117,625, compared to $70,431 in Sand springs.
- In Watertown, the percentage of married families is higher at 42.0%, compared to 41.0% in Sand springs.
- Sand springs has a higher poverty level at 9% compared to 5% in Watertown.
- The unemployment rate in Sand springs is higher at 3.8%, compared to 3.4% in Watertown.
Demographics
Demographics Sand springs vs Watertown provide insight into the diversity of the communities to compare.
| Demographic | Sand springs | Watertown |
|---|---|---|
| Black | 2 | 4 |
| White | 76 | 70 |
| Asian | 1 | 12 |
| Hispanic | 5 | 7 |
| Two or More Races | 9 | 7 |
| American Indian | 7 | Data is updating |
Demographics Comparison: Sand springs vs Watertown
- In Watertown, the percentage of Black residents is higher at 4% compared to 2% in Sand springs.
- Sand springs has a higher percentage of White residents at 76% compared to 70% in Watertown.
- In Watertown, the Asian population stands at 12%, greater than 1% in Sand springs.
- Watertown has a higher percentage of Hispanic residents at 7%, compared to 5% in Sand springs.
- More residents identify as two or more races in Sand springs at 9% compared to 7% in Watertown.
- A greater percentage of American Indian residents live in Sand springs at 7% compared to 0% in Watertown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sand springs | Watertown |
|---|---|---|
| Mental Health Not Good | 18.6% | 13.1% |
| Physical Health Not Good | 11.8% | 7.7% |
| Depression | 26.9% | 20.6% |
| Smoking | 18.2% | 8.6% |
| Binge Drinking | 15.0% | 19.3% |
| Obesity | 35.7% | 23.1% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Sand springs vs Watertown
- More residents in Sand springs report poor mental health at 18.6% compared to 13.1% in Watertown.
- Depression is more prevalent in Sand springs at 26.9% compared to 20.6% in Watertown.
- Smoking is more prevalent in Sand springs at 18.2% compared to 8.6% in Watertown.
- More residents engage in binge drinking in Watertown at 19.3% compared to 15.0% in Sand springs.
- Obesity rates are higher in Sand springs at 35.7% compared to 23.1% in Watertown.
- Disability percentages are higher in Sand springs at 17.0% compared to 12.0% in Watertown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sand springs | Watertown |
|---|---|---|
| No Schooling | 0.5% (98) | 0.9% (331) |
| High School Diploma | 16.8% (3,364) | 10.7% (3,731) |
| Less than High School | 11.3% (2,260) | 6.9% (2,426) |
| Bachelor's Degree and Higher | 15.2% (3,042) | 52.6% (18,420) |
Education Levels Comparison: Sand springs vs Watertown
- In Watertown, a larger percentage of residents lack formal schooling at 0.9% compared to 0.5% in Sand springs.
- A higher percentage of residents in Sand springs hold a high school diploma at 16.8% compared to 10.7% in Watertown.
- More residents in Sand springs have less than a high school education at 11.3% compared to 6.9% in Watertown.
- In Watertown, a larger share of residents have a bachelor's degree or higher at 52.6% compared to 15.2% in Sand springs.
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.