Demographics details for Ontario, NY vs Arvin, CA
Population Overview
Compare main population characteristics in Ontario, NY vs Arvin, CA.
| Data | Ontario | Arvin |
|---|---|---|
| Population | 112,707 | 19,611 |
| Median Age | 43.8 years | 24.9 years |
| Median Income | $76,603 | $47,997 |
| Married Families | 42.0% | 32.0% |
| Poverty Level | 6% | 25% |
| Unemployment Rate | 3.2 | 6.2 |
Population Comparison: Ontario vs Arvin
- In Ontario, the population is higher at 112,707, compared to 19,611 in Arvin.
- Residents in Ontario have a higher median age of 43.8 years compared to 24.9 years in Arvin.
- Ontario has a higher median income of $76,603 compared to $47,997 in Arvin.
- A higher percentage of married families is found in Ontario at 42.0% compared to 32.0% in Arvin.
- The poverty level is higher in Arvin at 25%, compared to 6% in Ontario.
- Arvin has a higher unemployment rate at 6.2% compared to 3.2% in Ontario.
Demographics
Demographics Ontario vs Arvin provide insight into the diversity of the communities to compare.
| Demographic | Ontario | Arvin |
|---|---|---|
| Black | 2 | 1 |
| White | 88 | -19 |
| Asian | 1 | 1 |
| Hispanic | 5 | 95 |
| Two or More Races | 4 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Ontario vs Arvin
- A higher percentage of Black residents are in Ontario at 2% compared to 1% in Arvin.
- Ontario has a higher percentage of White residents at 88% compared to -19% in Arvin.
- Both Ontario and Arvin have the same percentage of Asian residents at 1%.
- Arvin has a higher percentage of Hispanic residents at 95%, compared to 5% in Ontario.
- The percentage of residents identifying as two or more races is higher in Arvin at 21%, compared to 4% in Ontario.
- In Arvin, 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 | Arvin |
|---|---|---|
| Mental Health Not Good | 15.5% | 20.3% |
| Physical Health Not Good | 9.9% | 19.9% |
| Depression | 26.2% | 20.1% |
| Smoking | 16.5% | 21.0% |
| Binge Drinking | 19.8% | 13.5% |
| Obesity | 36.2% | 42.4% |
| Disability Percentage | 13.0% | 6.0% |
Health Statistics Comparison: Ontario vs Arvin
- In Arvin, a higher percentage report poor mental health at 20.3% compared to 15.5% in Ontario.
- Depression is more prevalent in Ontario at 26.2% compared to 20.1% in Arvin.
- Arvin has a higher smoking rate at 21.0% compared to 16.5% in Ontario.
- Binge drinking is more common in Ontario at 19.8% compared to 13.5% in Arvin.
- Arvin has higher obesity rates at 42.4% compared to 36.2% in Ontario.
- Disability percentages are higher in Ontario at 13.0% compared to 6.0% in Arvin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ontario | Arvin |
|---|---|---|
| No Schooling | 1.0% (1,163) | 4.3% (840) |
| High School Diploma | 15.2% (17,124) | 11.8% (2,305) |
| Less than High School | 9.1% (10,230) | 53.7% (10,540) |
| Bachelor's Degree and Higher | 26.4% (29,794) | 2.0% (383) |
Education Levels Comparison: Ontario vs Arvin
- In Arvin, a larger percentage of residents lack formal schooling at 4.3% compared to 1.0% in Ontario.
- A higher percentage of residents in Ontario hold a high school diploma at 15.2% compared to 11.8% in Arvin.
- The percentage of residents with less than a high school education is higher in Arvin at 53.7%, 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 2.0% in Arvin.
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.