05767 Zip Code Historical Education Level Data
ACS 2010-2014 data
Total population: 1,095
05767 Zip Code | Vermont | U.S. | |
Total 25 Years and Over Population | 821, 100% | 434,995 | 209,056,129 |
Less Than High School | 61, 7.43%, see rank | 8.36% | 13.67% |
High School Graduate | 245, 29.84%, see rank | 30.58% | 27.95% |
Some College or Associate Degree | 232, 28.26%, see rank | 25.86% | 29.09% |
Bachelor Degree | 198, 24.12%, see rank | 21.23% | 18.27% |
Master, Doctorate, or Professional Degree | 85, 10.35%, see rank | 13.97% | 11.01% |
USA.com Education Index# | 13.96, see rank | 14.01 | 13.54 |
# Higher USA.com Education Index means more educated population.
ACS 2008-2012 data
Total population: 959
05767 Zip Code | Vermont | U.S. | |
Total 25 Years and Over Population | 742, 100% | 431,581 | 204,336,017 |
Less Than High School | 75, 10.11%, see rank | 8.75% | 14.28% |
High School Graduate | 196, 26.42%, see rank | 31.22% | 28.24% |
Some College or Associate Degree | 218, 29.38%, see rank | 25.83% | 28.99% |
Bachelor Degree | 155, 20.89%, see rank | 20.73% | 17.88% |
Master, Doctorate, or Professional Degree | 98, 13.21%, see rank | 13.48% | 10.61% |
USA.com Education Index# | 13.94, see rank | 13.94 | 13.47 |
# Higher USA.com Education Index means more educated population.
US Census 2000 data
Total population: 1,171
05767 Zip Code | Vermont | U.S. | |
Total 25 Years and Over Population | 862, 100% | 404,223 | 182,211,639 |
Less Than High School | 104, 12.06%, see rank | 13.58% | 19.60% |
High School Graduate | 244, 28.31%, see rank | 32.36% | 28.63% |
Some College or Associate Degree | 227, 26.33%, see rank | 24.61% | 27.37% |
Bachelor Degree | 191, 22.16%, see rank | 18.34% | 15.54% |
Master, Doctorate, or Professional Degree | 96, 11.14%, see rank | 11.11% | 8.86% |
USA.com Education Index# | 13.71, see rank | 13.46 | 13.01 |
# Higher USA.com Education Index means more educated population.
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.