Demographics details for Washington, DC vs Ontario, NY
Population Overview
Compare main population characteristics in Washington, DC vs Ontario, NY.
| Data | Washington | Ontario |
|---|---|---|
| Population | 671,803 | 112,707 |
| Median Age | 34.8 years | 43.8 years |
| Median Income | $101,722 | $76,603 |
| Married Families | 26.0% | 42.0% |
| Poverty Level | 18% | 6% |
| Unemployment Rate | 6.3 | 3.2 |
Population Comparison: Washington vs Ontario
- In Washington, the population is higher at 671,803, compared to 112,707 in Ontario.
- The median age in Ontario is higher at 43.8 years, compared to 34.8 years in Washington.
- Washington has a higher median income of $101,722 compared to $76,603 in Ontario.
- In Ontario, the percentage of married families is higher at 42.0%, compared to 26.0% in Washington.
- Washington has a higher poverty level at 18% compared to 6% in Ontario.
- The unemployment rate in Washington is higher at 6.3%, compared to 3.2% in Ontario.
Demographics
Demographics Washington vs Ontario provide insight into the diversity of the communities to compare.
| Demographic | Washington | Ontario |
|---|---|---|
| Black | 44 | 2 |
| White | 34 | 88 |
| Asian | 4 | 1 |
| Hispanic | 11 | 5 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Ontario
- A higher percentage of Black residents are in Washington at 44% compared to 2% in Ontario.
- The percentage of White residents is higher in Ontario at 88% compared to 34% in Washington.
- The Asian population is larger in Washington at 4% compared to 1% in Ontario.
- The Hispanic community is larger in Washington at 11% compared to 5% in Ontario.
- More residents identify as two or more races in Washington at 7% compared to 4% in Ontario.
- The percentage of American Indian residents is the same in both Washington and Ontario at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Ontario |
|---|---|---|
| Mental Health Not Good | 14.0% | 15.5% |
| Physical Health Not Good | 8.6% | 9.9% |
| Depression | 20.1% | 26.2% |
| Smoking | 12.4% | 16.5% |
| Binge Drinking | 20.7% | 19.8% |
| Obesity | 25.6% | 36.2% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Washington vs Ontario
- In Ontario, a higher percentage report poor mental health at 15.5% compared to 14.0% in Washington.
- Higher depression rates are seen in Ontario at 26.2% versus 20.1% in Washington.
- Ontario has a higher smoking rate at 16.5% compared to 12.4% in Washington.
- Binge drinking is more common in Washington at 20.7% compared to 19.8% in Ontario.
- Ontario has higher obesity rates at 36.2% compared to 25.6% in Washington.
- There is a higher percentage of disabled individuals in Ontario at 13.0% compared to 11.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Ontario |
|---|---|---|
| No Schooling | 0.9% (6,109) | 1.0% (1,163) |
| High School Diploma | 9.1% (61,269) | 15.2% (17,124) |
| Less than High School | 6.8% (45,577) | 9.1% (10,230) |
| Bachelor's Degree and Higher | 45.2% (303,532) | 26.4% (29,794) |
Education Levels Comparison: Washington vs Ontario
- In Ontario, a larger percentage of residents lack formal schooling at 1.0% compared to 0.9% in Washington.
- In Ontario, the rate of residents with high school diplomas is higher at 15.2% compared to 9.1% in Washington.
- The percentage of residents with less than a high school education is higher in Ontario at 9.1%, 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 26.4% in Ontario.
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.