When we talk about communalities, we are interested in the amount of original information contained in each variable that can be extracted from a common factor. That is, the higher the communality (closer to 1) the larger the amount of information that will be extracted. A good way to measure factor analysis is to have a communality of at least 0.40. By default, the initial value of communality for each variable is 1.00 or 100% because at the beginning of the factor analysis, none of this information has been extracted.
From the result, the minimum amount of information is 56.6% by PEU3 ( It is easy to add or edit information in Wikipedia) indicating 43.4% loss of information.