Demographics details for Washington, KS vs Southold, NY
Population Overview
Compare main population characteristics in Washington, KS vs Southold, NY.
| Data | Washington | Southold |
|---|---|---|
| Population | 5,501 | 22,125 |
| Median Age | 44.9 years | 47.0 years |
| Median Income | $59,432 | $92,839 |
| Married Families | 46.0% | 65.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.0 | 3.0 |
Population Comparison: Washington vs Southold
- The population in Southold is higher at 22,125, compared to 5,501 in Washington.
- The median age in Southold is higher at 47.0 years, compared to 44.9 years in Washington.
- Southold has a higher median income of $92,839, compared to $59,432 in Washington.
- In Southold, the percentage of married families is higher at 65.0%, compared to 46.0% in Washington.
- Washington has a higher poverty level at 12% compared to 5% in Southold.
- The unemployment rate is the same in both Washington and Southold at 3.0%.
Demographics
Demographics Washington vs Southold provide insight into the diversity of the communities to compare.
| Demographic | Washington | Southold |
|---|---|---|
| Black | Data is updating | 2 |
| White | 93 | 90 |
| Asian | 1 | 1 |
| Hispanic | 4 | 5 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Southold
- In Southold, the percentage of Black residents is higher at 2% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 93% compared to 90% in Southold.
- Both Washington and Southold have the same percentage of Asian residents at 1%.
- Southold has a higher percentage of Hispanic residents at 5%, compared to 4% in Washington.
- Both Washington and Southold have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Washington and Southold at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Southold |
|---|---|---|
| Mental Health Not Good | 15.8% | Data is updating% |
| Physical Health Not Good | 10.1% | Data is updating% |
| Depression | 20.9% | Data is updating% |
| Smoking | 18.8% | Data is updating% |
| Binge Drinking | 20.4% | Data is updating% |
| Obesity | 42.1% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Washington vs Southold
- More residents in Washington report poor mental health at 15.8% compared to 0.0% in Southold.
- Depression is more prevalent in Washington at 20.9% compared to 0.0% in Southold.
- Smoking is more prevalent in Washington at 18.8% compared to 0.0% in Southold.
- Binge drinking is more common in Washington at 20.4% compared to 0.0% in Southold.
- Obesity rates are higher in Washington at 42.1% compared to 0.0% in Southold.
- Disability percentages are higher in Washington at 14.0% compared to 0.0% in Southold.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Southold |
|---|---|---|
| No Schooling | 0.8% (45) | 0.0% (Data is updating) |
| High School Diploma | 24.9% (1,368) | 0.0% (Data is updating) |
| Less than High School | 9.0% (494) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.8% (869) | 0.0% (Data is updating) |
Education Levels Comparison: Washington vs Southold
- A higher percentage of residents in Washington have no formal schooling at 0.8% compared to 0.0% in Southold.
- A higher percentage of residents in Washington hold a high school diploma at 24.9% compared to 0.0% in Southold.
- More residents in Washington have less than a high school education at 9.0% compared to 0.0% in Southold.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 15.8% compared to 0.0% in Southold.
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.