Objective: The aim of this study is to investigate how the three commonly used word lists in our country (Hacettepe, Marmara and Başkent lists) are developed in the speech recognition threshold (SRT) test, which is a part of the routine audiological evaluation, and to examine the variety of words and phoneme content in the lists. Ma- terial and Methods: Information about the SRT test word lists used in Hacettepe, Marmara and Ba şkent Universities was obtained from the developers and the lists were collected in the Excel database, and word diversity (noun, adjective or adverb, exclamation and verb) was deter- mined based on the dictionaries of the Turkish Language Institution, and then the Contemporary Türkiye Turkish of the International Pho- netic Association phoneme definitions, vowel and consonant phoneme distributions are revealed. Moreover; the ratios of two vowels (/i, e/) voiced in the front of the mouth and three vowels (/a, o, u/) voiced in the back and the ratios of nasal phonemes (/m, n/) were found sepa- rately. Results: It is reported that the existing SRT test lists are pre- pared from 3-syllable words based on intelligibility and the word variety and structure of Turkish. It was emphasized that the Marmara list was prepared especially from materials for children. While the Hacettepe list is the richest list in terms of the number of words and phonemes, it is also the list where non-noun words are used the most. It is seen that the lists have similar phoneme balance, although they show some differences. However, it is seen that the / ɣ/(ğ) phoneme is used relatively more in the Marmara list, and the rate of vowels in gen- eral and especially front vowels is lower than in other lists. Conclu- sion: The Hacettepe list stands out with its widespread use and the diversity of its word and phoneme content. On the other hand, the Mar- mara list is specially prepared from materials for children and seems to be a more sensitive list for hearing loss at relatively high frequencies. The list of capitals draws attention in terms of the fact that the words are mostly composed of nouns and the order of the word structures. The lack of psychometric curves of existing word lists is a major short- coming.