Demographics details for West covina, CA vs Sanborn, NY
Population Overview
Compare main population characteristics in West covina, CA vs Sanborn, NY.
| Data | West covina | Sanborn |
|---|---|---|
| Population | 105,013 | 1,499 |
| Median Age | 39.8 years | 35.2 years |
| Median Income | $96,219 | $75,109 |
| Married Families | 39.0% | 34.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 5.6 | 4.5 |
Population Comparison: West covina vs Sanborn
- In West covina, the population is higher at 105,013, compared to 1,499 in Sanborn.
- Residents in West covina have a higher median age of 39.8 years compared to 35.2 years in Sanborn.
- West covina has a higher median income of $96,219 compared to $75,109 in Sanborn.
- A higher percentage of married families is found in West covina at 39.0% compared to 34.0% in Sanborn.
- West covina has a higher poverty level at 13% compared to 9% in Sanborn.
- The unemployment rate in West covina is higher at 5.6%, compared to 4.5% in Sanborn.
Demographics
Demographics West covina vs Sanborn provide insight into the diversity of the communities to compare.
| Demographic | West covina | Sanborn |
|---|---|---|
| Black | 4 | 1 |
| White | -5 | 94 |
| Asian | 30 | Data is updating |
| Hispanic | 55 | 1 |
| Two or More Races | 15 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: West covina vs Sanborn
- A higher percentage of Black residents are in West covina at 4% compared to 1% in Sanborn.
- The percentage of White residents is higher in Sanborn at 94% compared to -5% in West covina.
- The Asian population is larger in West covina at 30% compared to 0% in Sanborn.
- The Hispanic community is larger in West covina at 55% compared to 1% in Sanborn.
- More residents identify as two or more races in West covina at 15% compared to 4% in Sanborn.
- A greater percentage of American Indian residents live in West covina at 1% compared to 0% in Sanborn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West covina | Sanborn |
|---|---|---|
| Mental Health Not Good | 13.7% | 15.5% |
| Physical Health Not Good | 9.9% | 9.4% |
| Depression | 13.7% | 24.9% |
| Smoking | 9.3% | 17.7% |
| Binge Drinking | 14.4% | 20.0% |
| Obesity | 25.8% | 32.9% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: West covina vs Sanborn
- In Sanborn, a higher percentage report poor mental health at 15.5% compared to 13.7% in West covina.
- Higher depression rates are seen in Sanborn at 24.9% versus 13.7% in West covina.
- Sanborn has a higher smoking rate at 17.7% compared to 9.3% in West covina.
- More residents engage in binge drinking in Sanborn at 20.0% compared to 14.4% in West covina.
- Sanborn has higher obesity rates at 32.9% compared to 25.8% in West covina.
- Disability percentages are higher in West covina at 12.0% compared to 9.0% in Sanborn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West covina | Sanborn |
|---|---|---|
| No Schooling | 2.6% (2,712) | 3.9% (58) |
| High School Diploma | 18.1% (19,047) | 19.6% (294) |
| Less than High School | 17.0% (17,801) | 16.0% (240) |
| Bachelor's Degree and Higher | 21.8% (22,904) | 13.9% (209) |
Education Levels Comparison: West covina vs Sanborn
- In Sanborn, a larger percentage of residents lack formal schooling at 3.9% compared to 2.6% in West covina.
- In Sanborn, the rate of residents with high school diplomas is higher at 19.6% compared to 18.1% in West covina.
- More residents in West covina have less than a high school education at 17.0% compared to 16.0% in Sanborn.
- A higher percentage of residents in West covina hold a bachelor's degree or higher at 21.8% compared to 13.9% in Sanborn.
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.