57232 Zip Code Historical Education Level Data
ACS 2010-2014 data
Total population: 291
57232 Zip Code | South Dakota | U.S. | |
Total 25 Years and Over Population | 237, 100% | 544,604 | 209,056,129 |
Less Than High School | 36, 15.19%, see rank | 9.30% | 13.67% |
High School Graduate | 89, 37.55%, see rank | 31.52% | 27.95% |
Some College or Associate Degree | 64, 27.00%, see rank | 32.50% | 29.09% |
Bachelor Degree | 15, 6.33%, see rank | 18.67% | 18.27% |
Master, Doctorate, or Professional Degree | 33, 13.92%, see rank | 8.01% | 11.01% |
USA.com Education Index# | 13.16, see rank | 13.59 | 13.54 |
# Higher USA.com Education Index means more educated population.
ACS 2008-2012 data
Total population: 292
57232 Zip Code | South Dakota | U.S. | |
Total 25 Years and Over Population | 225, 100% | 531,773 | 204,336,017 |
Less Than High School | 26, 11.56%, see rank | 9.88% | 14.28% |
High School Graduate | 107, 47.56%, see rank | 31.89% | 28.24% |
Some College or Associate Degree | 58, 25.78%, see rank | 32.19% | 28.99% |
Bachelor Degree | 20, 8.89%, see rank | 18.27% | 17.88% |
Master, Doctorate, or Professional Degree | 14, 6.22%, see rank | 7.78% | 10.61% |
USA.com Education Index# | 12.84, see rank | 13.52 | 13.47 |
# Higher USA.com Education Index means more educated population.
US Census 2000 data
Total population: 415
57232 Zip Code | South Dakota | U.S. | |
Total 25 Years and Over Population | 280, 100% | 474,359 | 182,211,639 |
Less Than High School | 102, 36.43%, see rank | 15.43% | 19.60% |
High School Graduate | 74, 26.43%, see rank | 32.89% | 28.63% |
Some College or Associate Degree | 49, 17.50%, see rank | 30.18% | 27.37% |
Bachelor Degree | 43, 15.36%, see rank | 15.51% | 15.54% |
Master, Doctorate, or Professional Degree | 12, 4.29%, see rank | 6.00% | 8.86% |
USA.com Education Index# | 11.81, 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.