Demographics details for Boulder, CO vs Ontario, CA
Population Overview
Compare main population characteristics in Boulder, CO vs Ontario, CA.
| Data | Boulder | Ontario |
|---|---|---|
| Population | 105,485 | 184,705 |
| Median Age | 28.5 years | 34.3 years |
| Median Income | $80,243 | $67,659 |
| Married Families | 28.0% | 30.5% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 4.2 | 5.1 |
Population Comparison: Boulder vs Ontario
- The population in Ontario is higher at 184,705, compared to 105,485 in Boulder.
- The median age in Ontario is higher at 34.3 years, compared to 28.5 years in Boulder.
- Boulder has a higher median income of $80,243 compared to $67,659 in Ontario.
- In Ontario, the percentage of married families is higher at 30.5%, compared to 28.0% in Boulder.
- The poverty level is higher in Ontario at 14%, compared to 12% in Boulder.
- Ontario has a higher unemployment rate at 5.1% compared to 4.2% in Boulder.
Demographics
Demographics Boulder vs Ontario provide insight into the diversity of the communities to compare.
| Demographic | Boulder | Ontario |
|---|---|---|
| Black | 1 | 8.5 |
| White | 74 | 36.2 |
| Asian | 6 | 6.0 |
| Hispanic | 11 | 44.5 |
| Two or More Races | 7 | 4.8 |
| American Indian | 1 | 0.5 |
Demographics Comparison: Boulder vs Ontario
- In Ontario, the percentage of Black residents is higher at 8.5% compared to 1% in Boulder.
- Boulder has a higher percentage of White residents at 74% compared to 36.2% in Ontario.
- Both Boulder and Ontario have the same percentage of Asian residents at 6%.
- Ontario has a higher percentage of Hispanic residents at 44.5%, compared to 11% in Boulder.
- More residents identify as two or more races in Boulder at 7% compared to 4.8% in Ontario.
- A greater percentage of American Indian residents live in Boulder at 1% compared to 0.5% in Ontario.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boulder | Ontario |
|---|---|---|
| Mental Health Not Good | 15.2% | Data is updating% |
| Physical Health Not Good | 8.9% | Data is updating% |
| Depression | 23.3% | Data is updating% |
| Smoking | 10.9% | Data is updating% |
| Binge Drinking | 19.5% | Data is updating% |
| Obesity | 17.5% | Data is updating% |
| Disability Percentage | 6.0% | Data is updating% |
Health Statistics Comparison: Boulder vs Ontario
- More residents in Boulder report poor mental health at 15.2% compared to 0.0% in Ontario.
- Depression is more prevalent in Boulder at 23.3% compared to 0.0% in Ontario.
- Smoking is more prevalent in Boulder at 10.9% compared to 0.0% in Ontario.
- Binge drinking is more common in Boulder at 19.5% compared to 0.0% in Ontario.
- Obesity rates are higher in Boulder at 17.5% compared to 0.0% in Ontario.
- Disability percentages are higher in Boulder at 6.0% 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 | Boulder | Ontario |
|---|---|---|
| No Schooling | 0.3% (324) | 0.0% (Data is updating) |
| High School Diploma | 2.9% (3,026) | 0.0% (Data is updating) |
| Less than High School | 3.3% (3,521) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 43.6% (46,028) | 0.0% (Data is updating) |
Education Levels Comparison: Boulder vs Ontario
- A higher percentage of residents in Boulder have no formal schooling at 0.3% compared to 0.0% in Ontario.
- A higher percentage of residents in Boulder hold a high school diploma at 2.9% compared to 0.0% in Ontario.
- More residents in Boulder have less than a high school education at 3.3% compared to 0.0% in Ontario.
- A higher percentage of residents in Boulder hold a bachelor's degree or higher at 43.6% 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.