47866 Zip Code Historical Education Level Data
ACS 2010-2014 data
Total population: 389
| 47866 Zip Code | Indiana | U.S. | |
| Total 25 Years and Over Population | 224, 100% | 4,287,819 | 209,056,129 |
| Less Than High School | 41, 18.30%, see rank | 12.39% | 13.67% |
| High School Graduate | 128, 57.14%, see rank | 34.96% | 27.95% |
| Some College or Associate Degree | 41, 18.30%, see rank | 29.03% | 29.09% |
| Bachelor Degree | 0, 0.00%, see rank | 15.11% | 18.27% |
| Master, Doctorate, or Professional Degree | 14, 6.25%, see rank | 8.51% | 11.01% |
| USA.com Education Index# | 12.07, see rank | 13.29 | 13.54 |
# Higher USA.com Education Index means more educated population.
ACS 2008-2012 data
Total population: 250
| 47866 Zip Code | Indiana | U.S. | |
| Total 25 Years and Over Population | 111, 100% | 4,229,138 | 204,336,017 |
| Less Than High School | 39, 35.14%, see rank | 13.00% | 14.28% |
| High School Graduate | 61, 54.95%, see rank | 35.42% | 28.24% |
| Some College or Associate Degree | 0, 0.00%, see rank | 28.59% | 28.99% |
| Bachelor Degree | 0, 0.00%, see rank | 14.74% | 17.88% |
| Master, Doctorate, or Professional Degree | 11, 9.91%, see rank | 8.25% | 10.61% |
| USA.com Education Index# | 11.29, see rank | 13.22 | 13.47 |
# Higher USA.com Education Index means more educated population.
US Census 2000 data
Total population: 412
| 47866 Zip Code | Indiana | U.S. | |
| Total 25 Years and Over Population | 331, 100% | 3,893,278 | 182,211,639 |
| Less Than High School | 28, 8.46%, see rank | 17.87% | 19.60% |
| High School Graduate | 178, 53.78%, see rank | 37.19% | 28.63% |
| Some College or Associate Degree | 93, 28.10%, see rank | 25.54% | 27.37% |
| Bachelor Degree | 25, 7.55%, see rank | 12.21% | 15.54% |
| Master, Doctorate, or Professional Degree | 7, 2.11%, see rank | 7.20% | 8.86% |
| USA.com Education Index# | 12.67, see rank | 12.79 | 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.