Demographics details for Winchester, VA vs Livermore, CA
Population Overview
Compare main population characteristics in Winchester, VA vs Livermore, CA.
| Data | Winchester | Livermore |
|---|---|---|
| Population | 27,936 | 84,701 |
| Median Age | 36.6 years | 40.3 years |
| Median Income | $62,495 | $152,590 |
| Married Families | 33.0% | 48.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.1 | 3.9 |
Population Comparison: Winchester vs Livermore
- The population in Livermore is higher at 84,701, compared to 27,936 in Winchester.
- The median age in Livermore is higher at 40.3 years, compared to 36.6 years in Winchester.
- Livermore has a higher median income of $152,590, compared to $62,495 in Winchester.
- In Livermore, the percentage of married families is higher at 48.0%, compared to 33.0% in Winchester.
- Winchester has a higher poverty level at 10% compared to 5% in Livermore.
- Livermore has a higher unemployment rate at 3.9% compared to 3.1% in Winchester.
Demographics
Demographics Winchester vs Livermore provide insight into the diversity of the communities to compare.
| Demographic | Winchester | Livermore |
|---|---|---|
| Black | 10 | 2 |
| White | 60 | 44 |
| Asian | 2 | 17 |
| Hispanic | 19 | 23 |
| Two or More Races | 9 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Winchester vs Livermore
- A higher percentage of Black residents are in Winchester at 10% compared to 2% in Livermore.
- Winchester has a higher percentage of White residents at 60% compared to 44% in Livermore.
- In Livermore, the Asian population stands at 17%, greater than 2% in Winchester.
- Livermore has a higher percentage of Hispanic residents at 23%, compared to 19% in Winchester.
- The percentage of residents identifying as two or more races is higher in Livermore at 13%, compared to 9% in Winchester.
- In Livermore, 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 | Livermore |
|---|---|---|
| Mental Health Not Good | 16.3% | 14.9% |
| Physical Health Not Good | 11.1% | 8.8% |
| Depression | 22.7% | 19.6% |
| Smoking | 15.8% | 9.4% |
| Binge Drinking | 16.5% | 18.4% |
| Obesity | 38.0% | 26.6% |
| Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: Winchester vs Livermore
- More residents in Winchester report poor mental health at 16.3% compared to 14.9% in Livermore.
- Depression is more prevalent in Winchester at 22.7% compared to 19.6% in Livermore.
- Smoking is more prevalent in Winchester at 15.8% compared to 9.4% in Livermore.
- More residents engage in binge drinking in Livermore at 18.4% compared to 16.5% in Winchester.
- Obesity rates are higher in Winchester at 38.0% compared to 26.6% in Livermore.
- Disability percentages are higher in Winchester at 15.0% compared to 9.0% in Livermore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winchester | Livermore |
|---|---|---|
| No Schooling | 0.7% (207) | 1.4% (1,173) |
| High School Diploma | 15.0% (4,203) | 9.5% (8,051) |
| Less than High School | 15.9% (4,448) | 7.8% (6,576) |
| Bachelor's Degree and Higher | 21.7% (6,065) | 35.4% (30,013) |
Education Levels Comparison: Winchester vs Livermore
- In Livermore, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Winchester.
- A higher percentage of residents in Winchester hold a high school diploma at 15.0% compared to 9.5% in Livermore.
- More residents in Winchester have less than a high school education at 15.9% compared to 7.8% in Livermore.
- In Livermore, a larger share of residents have a bachelor's degree or higher at 35.4% compared to 21.7% in Winchester.
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.