Demographics details for Winchester, VA vs Revere, MA
Population Overview
Compare main population characteristics in Winchester, VA vs Revere, MA.
| Data | Winchester | Revere |
|---|---|---|
| Population | 27,936 | 58,528 |
| Median Age | 36.6 years | 39.6 years |
| Median Income | $62,495 | $78,968 |
| Married Families | 33.0% | 38.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 3.1 | 4.3 |
Population Comparison: Winchester vs Revere
- The population in Revere is higher at 58,528, compared to 27,936 in Winchester.
- The median age in Revere is higher at 39.6 years, compared to 36.6 years in Winchester.
- Revere has a higher median income of $78,968, compared to $62,495 in Winchester.
- In Revere, the percentage of married families is higher at 38.0%, compared to 33.0% in Winchester.
- The poverty level is higher in Revere at 11%, compared to 10% in Winchester.
- Revere has a higher unemployment rate at 4.3% compared to 3.1% in Winchester.
Demographics
Demographics Winchester vs Revere provide insight into the diversity of the communities to compare.
| Demographic | Winchester | Revere |
|---|---|---|
| Black | 10 | 4 |
| White | 60 | 30 |
| Asian | 2 | 6 |
| Hispanic | 19 | 41 |
| Two or More Races | 9 | 19 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winchester vs Revere
- A higher percentage of Black residents are in Winchester at 10% compared to 4% in Revere.
- Winchester has a higher percentage of White residents at 60% compared to 30% in Revere.
- In Revere, the Asian population stands at 6%, greater than 2% in Winchester.
- Revere has a higher percentage of Hispanic residents at 41%, compared to 19% in Winchester.
- The percentage of residents identifying as two or more races is higher in Revere at 19%, compared to 9% in Winchester.
- The percentage of American Indian residents is the same in both Winchester and Revere at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winchester | Revere |
|---|---|---|
| Mental Health Not Good | 16.3% | 16.7% |
| Physical Health Not Good | 11.1% | 10.7% |
| Depression | 22.7% | 22.5% |
| Smoking | 15.8% | 15.7% |
| Binge Drinking | 16.5% | 19.0% |
| Obesity | 38.0% | 25.3% |
| Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: Winchester vs Revere
- In Revere, a higher percentage report poor mental health at 16.7% compared to 16.3% in Winchester.
- Depression is more prevalent in Winchester at 22.7% compared to 22.5% in Revere.
- Smoking is more prevalent in Winchester at 15.8% compared to 15.7% in Revere.
- More residents engage in binge drinking in Revere at 19.0% compared to 16.5% in Winchester.
- Obesity rates are higher in Winchester at 38.0% compared to 25.3% in Revere.
- Disability percentages are higher in Winchester at 15.0% compared to 13.0% in Revere.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winchester | Revere |
|---|---|---|
| No Schooling | 0.7% (207) | 4.1% (2,390) |
| High School Diploma | 15.0% (4,203) | 24.6% (14,425) |
| Less than High School | 15.9% (4,448) | 24.5% (14,363) |
| Bachelor's Degree and Higher | 21.7% (6,065) | 18.7% (10,935) |
Education Levels Comparison: Winchester vs Revere
- In Revere, a larger percentage of residents lack formal schooling at 4.1% compared to 0.7% in Winchester.
- In Revere, the rate of residents with high school diplomas is higher at 24.6% compared to 15.0% in Winchester.
- The percentage of residents with less than a high school education is higher in Revere at 24.5%, 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 18.7% in Revere.
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.