Demographics details for Seattle, WA vs Sand springs, OK
Population Overview
Compare main population characteristics in Seattle, WA vs Sand springs, OK.
| Data | Seattle | Sand springs |
|---|---|---|
| Population | 749,256 | 20,031 |
| Median Age | 35.4 years | 36.6 years |
| Median Income | $116,068 | $70,431 |
| Married Families | 35.0% | 41.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 4.6 | 3.8 |
Population Comparison: Seattle vs Sand springs
- In Seattle, the population is higher at 749,256, compared to 20,031 in Sand springs.
- The median age in Sand springs is higher at 36.6 years, compared to 35.4 years in Seattle.
- Seattle has a higher median income of $116,068 compared to $70,431 in Sand springs.
- In Sand springs, the percentage of married families is higher at 41.0%, compared to 35.0% in Seattle.
- The poverty level is identical in both Seattle and Sand springs at 9%.
- The unemployment rate in Seattle is higher at 4.6%, compared to 3.8% in Sand springs.
Demographics
Demographics Seattle vs Sand springs provide insight into the diversity of the communities to compare.
| Demographic | Seattle | Sand springs |
|---|---|---|
| Black | 7 | 2 |
| White | 59 | 76 |
| Asian | 17 | 1 |
| Hispanic | 7 | 5 |
| Two or More Races | 9 | 9 |
| American Indian | 1 | 7 |
Demographics Comparison: Seattle vs Sand springs
- A higher percentage of Black residents are in Seattle at 7% compared to 2% in Sand springs.
- The percentage of White residents is higher in Sand springs at 76% compared to 59% in Seattle.
- The Asian population is larger in Seattle at 17% compared to 1% in Sand springs.
- The Hispanic community is larger in Seattle at 7% compared to 5% in Sand springs.
- Both Seattle and Sand springs have the same percentage of residents identifying as two or more races at 9%.
- In Sand springs, the percentage of American Indian residents is higher at 7%, compared to 1% in Seattle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seattle | Sand springs |
|---|---|---|
| Mental Health Not Good | 15.1% | 18.6% |
| Physical Health Not Good | 8.5% | 11.8% |
| Depression | 23.6% | 26.9% |
| Smoking | 8.6% | 18.2% |
| Binge Drinking | 17.6% | 15.0% |
| Obesity | 23.8% | 35.7% |
| Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Seattle vs Sand springs
- In Sand springs, a higher percentage report poor mental health at 18.6% compared to 15.1% in Seattle.
- Higher depression rates are seen in Sand springs at 26.9% versus 23.6% in Seattle.
- Sand springs has a higher smoking rate at 18.2% compared to 8.6% in Seattle.
- Binge drinking is more common in Seattle at 17.6% compared to 15.0% in Sand springs.
- Sand springs has higher obesity rates at 35.7% compared to 23.8% in Seattle.
- There is a higher percentage of disabled individuals in Sand springs at 17.0% compared to 9.0% in Seattle.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seattle | Sand springs |
|---|---|---|
| No Schooling | 0.9% (6,839) | 0.5% (98) |
| High School Diploma | 5.8% (43,106) | 16.8% (3,364) |
| Less than High School | 4.7% (35,004) | 11.3% (2,260) |
| Bachelor's Degree and Higher | 49.4% (369,798) | 15.2% (3,042) |
Education Levels Comparison: Seattle vs Sand springs
- A higher percentage of residents in Seattle have no formal schooling at 0.9% compared to 0.5% in Sand springs.
- In Sand springs, the rate of residents with high school diplomas is higher at 16.8% compared to 5.8% in Seattle.
- The percentage of residents with less than a high school education is higher in Sand springs at 11.3%, compared to 4.7% in Seattle.
- A higher percentage of residents in Seattle hold a bachelor's degree or higher at 49.4% 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.