Demographics details for Washington, DC vs Sanborn, NY
Population Overview
Compare main population characteristics in Washington, DC vs Sanborn, NY.
| Data | Washington | Sanborn |
|---|---|---|
| Population | 671,803 | 1,499 |
| Median Age | 34.8 years | 35.2 years |
| Median Income | $101,722 | $75,109 |
| Married Families | 26.0% | 34.0% |
| Poverty Level | 18% | 9% |
| Unemployment Rate | 6.3 | 4.5 |
Population Comparison: Washington vs Sanborn
- In Washington, the population is higher at 671,803, compared to 1,499 in Sanborn.
- The median age in Sanborn is higher at 35.2 years, compared to 34.8 years in Washington.
- Washington has a higher median income of $101,722 compared to $75,109 in Sanborn.
- In Sanborn, the percentage of married families is higher at 34.0%, compared to 26.0% in Washington.
- Washington has a higher poverty level at 18% compared to 9% in Sanborn.
- The unemployment rate in Washington is higher at 6.3%, compared to 4.5% in Sanborn.
Demographics
Demographics Washington vs Sanborn provide insight into the diversity of the communities to compare.
| Demographic | Washington | Sanborn |
|---|---|---|
| Black | 44 | 1 |
| White | 34 | 94 |
| Asian | 4 | Data is updating |
| Hispanic | 11 | 1 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Sanborn
- A higher percentage of Black residents are in Washington at 44% compared to 1% in Sanborn.
- The percentage of White residents is higher in Sanborn at 94% compared to 34% in Washington.
- The Asian population is larger in Washington at 4% compared to 0% in Sanborn.
- The Hispanic community is larger in Washington at 11% compared to 1% in Sanborn.
- More residents identify as two or more races in Washington at 7% compared to 4% in Sanborn.
- The percentage of American Indian residents is the same in both Washington and Sanborn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Sanborn |
|---|---|---|
| Mental Health Not Good | 14.0% | 15.5% |
| Physical Health Not Good | 8.6% | 9.4% |
| Depression | 20.1% | 24.9% |
| Smoking | 12.4% | 17.7% |
| Binge Drinking | 20.7% | 20.0% |
| Obesity | 25.6% | 32.9% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Washington vs Sanborn
- In Sanborn, a higher percentage report poor mental health at 15.5% compared to 14.0% in Washington.
- Higher depression rates are seen in Sanborn at 24.9% versus 20.1% in Washington.
- Sanborn has a higher smoking rate at 17.7% compared to 12.4% in Washington.
- Binge drinking is more common in Washington at 20.7% compared to 20.0% in Sanborn.
- Sanborn has higher obesity rates at 32.9% compared to 25.6% in Washington.
- Disability percentages are higher in Washington at 11.0% compared to 9.0% in Sanborn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Sanborn |
|---|---|---|
| No Schooling | 0.9% (6,109) | 3.9% (58) |
| High School Diploma | 9.1% (61,269) | 19.6% (294) |
| Less than High School | 6.8% (45,577) | 16.0% (240) |
| Bachelor's Degree and Higher | 45.2% (303,532) | 13.9% (209) |
Education Levels Comparison: Washington vs Sanborn
- In Sanborn, a larger percentage of residents lack formal schooling at 3.9% compared to 0.9% in Washington.
- In Sanborn, the rate of residents with high school diplomas is higher at 19.6% compared to 9.1% in Washington.
- The percentage of residents with less than a high school education is higher in Sanborn at 16.0%, compared to 6.8% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 45.2% compared to 13.9% in Sanborn.
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.