Demographics details for Washington, DC vs Ontario, CA
Population Overview
Compare main population characteristics in Washington, DC vs Ontario, CA.
| Data | Washington | Ontario |
|---|---|---|
| Population | 671,803 | 184,705 |
| Median Age | 34.8 years | 34.3 years |
| Median Income | $101,722 | $67,659 |
| Married Families | 26.0% | 30.5% |
| Poverty Level | 18% | 14% |
| Unemployment Rate | 6.3 | 5.1 |
Population Comparison: Washington vs Ontario
- In Washington, the population is higher at 671,803, compared to 184,705 in Ontario.
- Residents in Washington have a higher median age of 34.8 years compared to 34.3 years in Ontario.
- Washington has a higher median income of $101,722 compared to $67,659 in Ontario.
- In Ontario, the percentage of married families is higher at 30.5%, compared to 26.0% in Washington.
- Washington has a higher poverty level at 18% compared to 14% in Ontario.
- The unemployment rate in Washington is higher at 6.3%, compared to 5.1% in Ontario.
Demographics
Demographics Washington vs Ontario provide insight into the diversity of the communities to compare.
| Demographic | Washington | Ontario |
|---|---|---|
| Black | 44 | 8.5 |
| White | 34 | 36.2 |
| Asian | 4 | 6.0 |
| Hispanic | 11 | 44.5 |
| Two or More Races | 7 | 4.8 |
| American Indian | Data is updating | 0.5 |
Demographics Comparison: Washington vs Ontario
- A higher percentage of Black residents are in Washington at 44% compared to 8.5% in Ontario.
- The percentage of White residents is higher in Ontario at 36.2% compared to 34% in Washington.
- In Ontario, the Asian population stands at 6.0%, greater than 4% in Washington.
- Ontario has a higher percentage of Hispanic residents at 44.5%, compared to 11% in Washington.
- More residents identify as two or more races in Washington at 7% compared to 4.8% in Ontario.
- In Ontario, the percentage of American Indian residents is higher at 0.5%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Ontario |
|---|---|---|
| Mental Health Not Good | 14.0% | Data is updating% |
| Physical Health Not Good | 8.6% | Data is updating% |
| Depression | 20.1% | Data is updating% |
| Smoking | 12.4% | Data is updating% |
| Binge Drinking | 20.7% | Data is updating% |
| Obesity | 25.6% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Washington vs Ontario
- More residents in Washington report poor mental health at 14.0% compared to 0.0% in Ontario.
- Depression is more prevalent in Washington at 20.1% compared to 0.0% in Ontario.
- Smoking is more prevalent in Washington at 12.4% compared to 0.0% in Ontario.
- Binge drinking is more common in Washington at 20.7% compared to 0.0% in Ontario.
- Obesity rates are higher in Washington at 25.6% compared to 0.0% in Ontario.
- Disability percentages are higher in Washington at 11.0% compared to 0.0% in Ontario.
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) | 0.0% (Data is updating) |
| High School Diploma | 9.1% (61,269) | 0.0% (Data is updating) |
| Less than High School | 6.8% (45,577) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 45.2% (303,532) | 0.0% (Data is updating) |
Education Levels Comparison: Washington vs Ontario
- A higher percentage of residents in Washington have no formal schooling at 0.9% compared to 0.0% in Ontario.
- A higher percentage of residents in Washington hold a high school diploma at 9.1% compared to 0.0% in Ontario.
- More residents in Washington have less than a high school education at 6.8% compared to 0.0% in Ontario.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 45.2% compared to 0.0% 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.