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20896 Zip Code Historical Education Level Data
ACS 2010-2014 data
Total population: 1,005
20896 Zip Code | Maryland | U.S. | |
Total 25 Years and Over Population | 664, 100% | 3,973,193 | 209,056,129 |
Less Than High School | 6, 0.90%, see rank | 11.00% | 13.67% |
High School Graduate | 27, 4.07%, see rank | 25.75% | 27.95% |
Some College or Associate Degree | 82, 12.35%, see rank | 25.96% | 29.09% |
Bachelor Degree | 230, 34.64%, see rank | 20.28% | 18.27% |
Master, Doctorate, or Professional Degree | 319, 48.04%, see rank | 17.02% | 11.01% |
USA.com Education Index# | 16.96, see rank | 14.08 | 13.54 |
# Higher USA.com Education Index means more educated population.
ACS 2008-2012 data
Total population: 973
20896 Zip Code | Maryland | U.S. | |
Total 25 Years and Over Population | 648, 100% | 3,875,282 | 204,336,017 |
Less Than High School | 6, 0.93%, see rank | 11.50% | 14.28% |
High School Graduate | 28, 4.32%, see rank | 26.02% | 28.24% |
Some College or Associate Degree | 102, 15.74%, see rank | 26.13% | 28.99% |
Bachelor Degree | 205, 31.64%, see rank | 19.98% | 17.88% |
Master, Doctorate, or Professional Degree | 307, 47.38%, see rank | 16.36% | 10.61% |
USA.com Education Index# | 16.86, see rank | 14.01 | 13.47 |
# Higher USA.com Education Index means more educated population.
US Census 2000 data
Total population: 598
20896 Zip Code | Maryland | U.S. | |
Total 25 Years and Over Population | 429, 100% | 3,495,595 | 182,211,639 |
Less Than High School | 5, 1.17%, see rank | 16.17% | 19.60% |
High School Graduate | 28, 6.53%, see rank | 26.71% | 28.63% |
Some College or Associate Degree | 63, 14.69%, see rank | 25.67% | 27.37% |
Bachelor Degree | 136, 31.70%, see rank | 18.00% | 15.54% |
Master, Doctorate, or Professional Degree | 197, 45.92%, see rank | 13.45% | 8.86% |
USA.com Education Index# | 16.73, see rank | 13.53 | 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.