54826 Zip Code Historical Education Level Data
ACS 2010-2014 data
Total population: 760
54826 Zip Code | Wisconsin | U.S. | |
Total 25 Years and Over Population | 571, 100% | 3,850,995 | 209,056,129 |
Less Than High School | 45, 7.88%, see rank | 9.25% | 13.67% |
High School Graduate | 246, 43.08%, see rank | 32.38% | 27.95% |
Some College or Associate Degree | 181, 31.70%, see rank | 30.95% | 29.09% |
Bachelor Degree | 63, 11.03%, see rank | 18.10% | 18.27% |
Master, Doctorate, or Professional Degree | 36, 6.30%, see rank | 9.32% | 11.01% |
USA.com Education Index# | 13.20, see rank | 13.63 | 13.54 |
# Higher USA.com Education Index means more educated population.
ACS 2008-2012 data
Total population: 801
54826 Zip Code | Wisconsin | U.S. | |
Total 25 Years and Over Population | 613, 100% | 3,800,291 | 204,336,017 |
Less Than High School | 83, 13.54%, see rank | 9.84% | 14.28% |
High School Graduate | 269, 43.88%, see rank | 33.13% | 28.24% |
Some College or Associate Degree | 166, 27.08%, see rank | 30.63% | 28.99% |
Bachelor Degree | 66, 10.77%, see rank | 17.47% | 17.88% |
Master, Doctorate, or Professional Degree | 29, 4.73%, see rank | 8.93% | 10.61% |
USA.com Education Index# | 12.76, see rank | 13.54 | 13.47 |
# Higher USA.com Education Index means more educated population.
US Census 2000 data
Total population: 799
54826 Zip Code | Wisconsin | U.S. | |
Total 25 Years and Over Population | 606, 100% | 3,475,878 | 182,211,639 |
Less Than High School | 90, 14.85%, see rank | 14.91% | 19.60% |
High School Graduate | 303, 50.00%, see rank | 34.58% | 28.63% |
Some College or Associate Degree | 155, 25.58%, see rank | 28.09% | 27.37% |
Bachelor Degree | 33, 5.45%, see rank | 15.26% | 15.54% |
Master, Doctorate, or Professional Degree | 25, 4.13%, see rank | 7.16% | 8.86% |
USA.com Education Index# | 12.42, see rank | 13.08 | 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.