Demographics details for Winchester, VA vs Goshen, NY
Population Overview
Compare main population characteristics in Winchester, VA vs Goshen, NY.
Data | Winchester | Goshen |
---|---|---|
Population | 27,936 | 14,094 |
Median Age | 36.6 years | 38.0 years |
Median Income | $62,495 | $86,000 |
Married Families | 33.0% | 62.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 3.1 | 4.1 |
Population Comparison: Winchester vs Goshen
- In Winchester, the population is higher at 27,936, compared to 14,094 in Goshen.
- The median age in Goshen is higher at 38.0 years, compared to 36.6 years in Winchester.
- Goshen has a higher median income of $86,000, compared to $62,495 in Winchester.
- In Goshen, the percentage of married families is higher at 62.0%, compared to 33.0% in Winchester.
- Winchester has a higher poverty level at 10% compared to 8% in Goshen.
- Goshen has a higher unemployment rate at 4.1% compared to 3.1% in Winchester.
Demographics
Demographics Winchester vs Goshen provide insight into the diversity of the communities to compare.
Demographic | Winchester | Goshen |
---|---|---|
Black | 10 | 5 |
White | 60 | 85 |
Asian | 2 | 3 |
Hispanic | 19 | 5 |
Two or More Races | 9 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Winchester vs Goshen
- A higher percentage of Black residents are in Winchester at 10% compared to 5% in Goshen.
- The percentage of White residents is higher in Goshen at 85% compared to 60% in Winchester.
- In Goshen, the Asian population stands at 3%, greater than 2% in Winchester.
- The Hispanic community is larger in Winchester at 19% compared to 5% in Goshen.
- More residents identify as two or more races in Winchester at 9% compared to 2% in Goshen.
- The percentage of American Indian residents is the same in both Winchester and Goshen at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Winchester | Goshen |
---|---|---|
Mental Health Not Good | 16.3% | Data is updating% |
Physical Health Not Good | 11.1% | Data is updating% |
Depression | 22.7% | Data is updating% |
Smoking | 15.8% | Data is updating% |
Binge Drinking | 16.5% | Data is updating% |
Obesity | 38.0% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Winchester vs Goshen
- More residents in Winchester report poor mental health at 16.3% compared to 0.0% in Goshen.
- Depression is more prevalent in Winchester at 22.7% compared to 0.0% in Goshen.
- Smoking is more prevalent in Winchester at 15.8% compared to 0.0% in Goshen.
- Binge drinking is more common in Winchester at 16.5% compared to 0.0% in Goshen.
- Obesity rates are higher in Winchester at 38.0% compared to 0.0% in Goshen.
- Disability percentages are higher in Winchester at 15.0% compared to 0.0% in Goshen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Winchester | Goshen |
---|---|---|
No Schooling | 0.7% (207) | 0.0% (Data is updating) |
High School Diploma | 15.0% (4,203) | 0.0% (Data is updating) |
Less than High School | 15.9% (4,448) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 21.7% (6,065) | 0.0% (Data is updating) |
Education Levels Comparison: Winchester vs Goshen
- A higher percentage of residents in Winchester have no formal schooling at 0.7% compared to 0.0% in Goshen.
- A higher percentage of residents in Winchester hold a high school diploma at 15.0% compared to 0.0% in Goshen.
- More residents in Winchester have less than a high school education at 15.9% compared to 0.0% in Goshen.
- A higher percentage of residents in Winchester hold a bachelor's degree or higher at 21.7% compared to 0.0% in Goshen.
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.