The total fertility rate (TFR) is the most frequently accepted and utilised method of determining current fertility. Because TFR is based on an age-specific fertility rate, the total number of births in various age groups, as well as the age of the female, are necessary. When the population is illiterate or elderly, age information may be subject to recall bias, misreporting digit preference, and other factors, causing TFR to deviate from reality. As a result, we’ll need to use some indirect approach to get a sense of TFR estimation. In this work, the authors attempted to discover several variables that explain TFR and to recommend the optimal combination of predictors for obtaining a TFR estimate. This study’s methodology is primarily based on the regression technique. The coefficient of determination is used to identify potential predictors and to accept them. The study is based on data from the National Family Health Survey (NFHS 4) for India’s major states.
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