Demographics details for Ontario, NY vs Jurupa valley, CA
Population Overview
Compare main population characteristics in Ontario, NY vs Jurupa valley, CA.
Data | Ontario | Jurupa valley |
---|---|---|
Population | 112,707 | 107,609 |
Median Age | 43.8 years | 33.5 years |
Median Income | $76,603 | $91,562 |
Married Families | 42.0% | 34.0% |
Poverty Level | 6% | 12% |
Unemployment Rate | 3.2 | 4.9 |
Population Comparison: Ontario vs Jurupa valley
- In Ontario, the population is higher at 112,707, compared to 107,609 in Jurupa valley.
- Residents in Ontario have a higher median age of 43.8 years compared to 33.5 years in Jurupa valley.
- Jurupa valley has a higher median income of $91,562, compared to $76,603 in Ontario.
- A higher percentage of married families is found in Ontario at 42.0% compared to 34.0% in Jurupa valley.
- The poverty level is higher in Jurupa valley at 12%, compared to 6% in Ontario.
- Jurupa valley has a higher unemployment rate at 4.9% compared to 3.2% in Ontario.
Demographics
Demographics Ontario vs Jurupa valley provide insight into the diversity of the communities to compare.
Demographic | Ontario | Jurupa valley |
---|---|---|
Black | 2 | 3 |
White | 88 | 8 |
Asian | 1 | 4 |
Hispanic | 5 | 71 |
Two or More Races | 4 | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Ontario vs Jurupa valley
- In Jurupa valley, the percentage of Black residents is higher at 3% compared to 2% in Ontario.
- Ontario has a higher percentage of White residents at 88% compared to 8% in Jurupa valley.
- In Jurupa valley, the Asian population stands at 4%, greater than 1% in Ontario.
- Jurupa valley has a higher percentage of Hispanic residents at 71%, compared to 5% in Ontario.
- The percentage of residents identifying as two or more races is higher in Jurupa valley at 13%, compared to 4% in Ontario.
- In Jurupa valley, the percentage of American Indian residents is higher at 1%, compared to 0% in Ontario.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ontario | Jurupa valley |
---|---|---|
Mental Health Not Good | 15.5% | 16.7% |
Physical Health Not Good | 9.9% | 13.3% |
Depression | 26.2% | 17.4% |
Smoking | 16.5% | 14.6% |
Binge Drinking | 19.8% | 16.1% |
Obesity | 36.2% | 38.4% |
Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Ontario vs Jurupa valley
- In Jurupa valley, a higher percentage report poor mental health at 16.7% compared to 15.5% in Ontario.
- Depression is more prevalent in Ontario at 26.2% compared to 17.4% in Jurupa valley.
- Smoking is more prevalent in Ontario at 16.5% compared to 14.6% in Jurupa valley.
- Binge drinking is more common in Ontario at 19.8% compared to 16.1% in Jurupa valley.
- Jurupa valley has higher obesity rates at 38.4% compared to 36.2% in Ontario.
- Disability percentages are higher in Ontario at 13.0% compared to 9.0% in Jurupa valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ontario | Jurupa valley |
---|---|---|
No Schooling | 1.0% (1,163) | 3.1% (3,376) |
High School Diploma | 15.2% (17,124) | 17.3% (18,582) |
Less than High School | 9.1% (10,230) | 34.3% (36,892) |
Bachelor's Degree and Higher | 26.4% (29,794) | 9.0% (9,706) |
Education Levels Comparison: Ontario vs Jurupa valley
- In Jurupa valley, a larger percentage of residents lack formal schooling at 3.1% compared to 1.0% in Ontario.
- In Jurupa valley, the rate of residents with high school diplomas is higher at 17.3% compared to 15.2% in Ontario.
- The percentage of residents with less than a high school education is higher in Jurupa valley at 34.3%, compared to 9.1% in Ontario.
- A higher percentage of residents in Ontario hold a bachelor's degree or higher at 26.4% compared to 9.0% in Jurupa valley.
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.