Demographics details for Winchester, VA vs Downey, CA
Population Overview
Compare main population characteristics in Winchester, VA vs Downey, CA.
| Data | Winchester | Downey |
|---|---|---|
| Population | 27,936 | 109,934 |
| Median Age | 36.6 years | 36.5 years |
| Median Income | $62,495 | $84,236 |
| Married Families | 33.0% | 36.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.1 | 5.6 |
Population Comparison: Winchester vs Downey
- The population in Downey is higher at 109,934, compared to 27,936 in Winchester.
- Residents in Winchester have a higher median age of 36.6 years compared to 36.5 years in Downey.
- Downey has a higher median income of $84,236, compared to $62,495 in Winchester.
- In Downey, the percentage of married families is higher at 36.0%, compared to 33.0% in Winchester.
- The poverty level is higher in Downey at 12%, compared to 10% in Winchester.
- Downey has a higher unemployment rate at 5.6% compared to 3.1% in Winchester.
Demographics
Demographics Winchester vs Downey provide insight into the diversity of the communities to compare.
| Demographic | Winchester | Downey |
|---|---|---|
| Black | 10 | 4 |
| White | 60 | -7 |
| Asian | 2 | 7 |
| Hispanic | 19 | 76 |
| Two or More Races | 9 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Winchester vs Downey
- A higher percentage of Black residents are in Winchester at 10% compared to 4% in Downey.
- Winchester has a higher percentage of White residents at 60% compared to -7% in Downey.
- In Downey, the Asian population stands at 7%, greater than 2% in Winchester.
- Downey has a higher percentage of Hispanic residents at 76%, compared to 19% in Winchester.
- The percentage of residents identifying as two or more races is higher in Downey at 19%, compared to 9% in Winchester.
- In Downey, the percentage of American Indian residents is higher at 1%, compared to 0% in Winchester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winchester | Downey |
|---|---|---|
| Mental Health Not Good | 16.3% | 14.8% |
| Physical Health Not Good | 11.1% | 11.2% |
| Depression | 22.7% | 15.3% |
| Smoking | 15.8% | 9.9% |
| Binge Drinking | 16.5% | 15.6% |
| Obesity | 38.0% | 29.4% |
| Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Winchester vs Downey
- More residents in Winchester report poor mental health at 16.3% compared to 14.8% in Downey.
- Depression is more prevalent in Winchester at 22.7% compared to 15.3% in Downey.
- Smoking is more prevalent in Winchester at 15.8% compared to 9.9% in Downey.
- Binge drinking is more common in Winchester at 16.5% compared to 15.6% in Downey.
- Obesity rates are higher in Winchester at 38.0% compared to 29.4% in Downey.
- Disability percentages are higher in Winchester at 15.0% compared to 10.0% in Downey.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winchester | Downey |
|---|---|---|
| No Schooling | 0.7% (207) | 3.2% (3,558) |
| High School Diploma | 15.0% (4,203) | 15.9% (17,437) |
| Less than High School | 15.9% (4,448) | 26.9% (29,528) |
| Bachelor's Degree and Higher | 21.7% (6,065) | 17.6% (19,359) |
Education Levels Comparison: Winchester vs Downey
- In Downey, a larger percentage of residents lack formal schooling at 3.2% compared to 0.7% in Winchester.
- In Downey, the rate of residents with high school diplomas is higher at 15.9% compared to 15.0% in Winchester.
- The percentage of residents with less than a high school education is higher in Downey at 26.9%, compared to 15.9% in Winchester.
- A higher percentage of residents in Winchester hold a bachelor's degree or higher at 21.7% compared to 17.6% in Downey.
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.