Demographics details for Pittsford, VT vs Woodland, CA
Population Overview
Compare main population characteristics in Pittsford, VT vs Woodland, CA.
Data | Pittsford | Woodland |
---|---|---|
Population | 2,807 | 61,462 |
Median Age | 42.0 years | 37.0 years |
Median Income | $65,000 | $84,494 |
Married Families | 60.0% | 40.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 1.7 | 6.0 |
Population Comparison: Pittsford vs Woodland
- The population in Woodland is higher at 61,462, compared to 2,807 in Pittsford.
- Residents in Pittsford have a higher median age of 42.0 years compared to 37.0 years in Woodland.
- Woodland has a higher median income of $84,494, compared to $65,000 in Pittsford.
- A higher percentage of married families is found in Pittsford at 60.0% compared to 40.0% in Woodland.
- The poverty level is higher in Woodland at 12%, compared to 5% in Pittsford.
- Woodland has a higher unemployment rate at 6.0% compared to 1.7% in Pittsford.
Demographics
Demographics Pittsford vs Woodland provide insight into the diversity of the communities to compare.
Demographic | Pittsford | Woodland |
---|---|---|
Black | Data is updating | 2 |
White | 97 | 21 |
Asian | 1 | 7 |
Hispanic | 1 | 49 |
Two or More Races | 1 | 20 |
American Indian | Data is updating | 1 |
Demographics Comparison: Pittsford vs Woodland
- In Woodland, the percentage of Black residents is higher at 2% compared to 0% in Pittsford.
- Pittsford has a higher percentage of White residents at 97% compared to 21% in Woodland.
- In Woodland, the Asian population stands at 7%, greater than 1% in Pittsford.
- Woodland has a higher percentage of Hispanic residents at 49%, compared to 1% in Pittsford.
- The percentage of residents identifying as two or more races is higher in Woodland at 20%, compared to 1% in Pittsford.
- In Woodland, the percentage of American Indian residents is higher at 1%, compared to 0% in Pittsford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pittsford | Woodland |
---|---|---|
Mental Health Not Good | Data is updating% | 16.0% |
Physical Health Not Good | Data is updating% | 11.6% |
Depression | Data is updating% | 18.8% |
Smoking | Data is updating% | 12.2% |
Binge Drinking | Data is updating% | 16.4% |
Obesity | Data is updating% | 28.9% |
Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Pittsford vs Woodland
- In Woodland, a higher percentage report poor mental health at 16.0% compared to 0.0% in Pittsford.
- Higher depression rates are seen in Woodland at 18.8% versus 0.0% in Pittsford.
- Woodland has a higher smoking rate at 12.2% compared to 0.0% in Pittsford.
- More residents engage in binge drinking in Woodland at 16.4% compared to 0.0% in Pittsford.
- Woodland has higher obesity rates at 28.9% compared to 0.0% in Pittsford.
- There is a higher percentage of disabled individuals in Woodland at 12.0% compared to 0.0% in Pittsford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pittsford | Woodland |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.0% (1,223) |
High School Diploma | 0.0% (Data is updating) | 13.9% (8,533) |
Less than High School | 0.0% (Data is updating) | 22.2% (13,649) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 19.0% (11,706) |
Education Levels Comparison: Pittsford vs Woodland
- In Woodland, a larger percentage of residents lack formal schooling at 2.0% compared to 0.0% in Pittsford.
- In Woodland, the rate of residents with high school diplomas is higher at 13.9% compared to 0.0% in Pittsford.
- The percentage of residents with less than a high school education is higher in Woodland at 22.2%, compared to 0.0% in Pittsford.
- In Woodland, a larger share of residents have a bachelor's degree or higher at 19.0% compared to 0.0% in Pittsford.
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.