57072 Zip Code Historical Education Level Data
ACS 2010-2014 data
Total population: 656
57072 Zip Code | South Dakota | U.S. | |
Total 25 Years and Over Population | 437, 100% | 544,604 | 209,056,129 |
Less Than High School | 26, 5.95%, see rank | 9.30% | 13.67% |
High School Graduate | 130, 29.75%, see rank | 31.52% | 27.95% |
Some College or Associate Degree | 159, 36.38%, see rank | 32.50% | 29.09% |
Bachelor Degree | 98, 22.43%, see rank | 18.67% | 18.27% |
Master, Doctorate, or Professional Degree | 24, 5.49%, see rank | 8.01% | 11.01% |
USA.com Education Index# | 13.77, see rank | 13.59 | 13.54 |
# Higher USA.com Education Index means more educated population.
ACS 2008-2012 data
Total population: 762
57072 Zip Code | South Dakota | U.S. | |
Total 25 Years and Over Population | 519, 100% | 531,773 | 204,336,017 |
Less Than High School | 35, 6.74%, see rank | 9.88% | 14.28% |
High School Graduate | 200, 38.54%, see rank | 31.89% | 28.24% |
Some College or Associate Degree | 143, 27.55%, see rank | 32.19% | 28.99% |
Bachelor Degree | 97, 18.69%, see rank | 18.27% | 17.88% |
Master, Doctorate, or Professional Degree | 44, 8.48%, see rank | 7.78% | 10.61% |
USA.com Education Index# | 13.62, see rank | 13.52 | 13.47 |
# Higher USA.com Education Index means more educated population.
US Census 2000 data
Total population: 672
57072 Zip Code | South Dakota | U.S. | |
Total 25 Years and Over Population | 380, 100% | 474,359 | 182,211,639 |
Less Than High School | 49, 12.89%, see rank | 15.43% | 19.60% |
High School Graduate | 138, 36.32%, see rank | 32.89% | 28.63% |
Some College or Associate Degree | 135, 35.53%, see rank | 30.18% | 27.37% |
Bachelor Degree | 43, 11.32%, see rank | 15.51% | 15.54% |
Master, Doctorate, or Professional Degree | 15, 3.95%, see rank | 6.00% | 8.86% |
USA.com Education Index# | 12.92, see rank | 13.03 | 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.