57446 Zip Code Historical Education Level Data
ACS 2010-2014 data
Total population: 302
57446 Zip Code | South Dakota | U.S. | |
Total 25 Years and Over Population | 287, 100% | 544,604 | 209,056,129 |
Less Than High School | 40, 13.94%, see rank | 9.30% | 13.67% |
High School Graduate | 88, 30.66%, see rank | 31.52% | 27.95% |
Some College or Associate Degree | 99, 34.49%, see rank | 32.50% | 29.09% |
Bachelor Degree | 46, 16.03%, see rank | 18.67% | 18.27% |
Master, Doctorate, or Professional Degree | 14, 4.88%, see rank | 8.01% | 11.01% |
USA.com Education Index# | 13.11, see rank | 13.59 | 13.54 |
# Higher USA.com Education Index means more educated population.
ACS 2008-2012 data
Total population: 382
57446 Zip Code | South Dakota | U.S. | |
Total 25 Years and Over Population | 338, 100% | 531,773 | 204,336,017 |
Less Than High School | 36, 10.65%, see rank | 9.88% | 14.28% |
High School Graduate | 150, 44.38%, see rank | 31.89% | 28.24% |
Some College or Associate Degree | 110, 32.54%, see rank | 32.19% | 28.99% |
Bachelor Degree | 28, 8.28%, see rank | 18.27% | 17.88% |
Master, Doctorate, or Professional Degree | 14, 4.14%, see rank | 7.78% | 10.61% |
USA.com Education Index# | 12.85, see rank | 13.52 | 13.47 |
# Higher USA.com Education Index means more educated population.
US Census 2000 data
Total population: 598
57446 Zip Code | South Dakota | U.S. | |
Total 25 Years and Over Population | 401, 100% | 474,359 | 182,211,639 |
Less Than High School | 62, 15.46%, see rank | 15.43% | 19.60% |
High School Graduate | 181, 45.14%, see rank | 32.89% | 28.63% |
Some College or Associate Degree | 116, 28.93%, see rank | 30.18% | 27.37% |
Bachelor Degree | 31, 7.73%, see rank | 15.51% | 15.54% |
Master, Doctorate, or Professional Degree | 11, 2.74%, see rank | 6.00% | 8.86% |
USA.com Education Index# | 12.46, 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.