Despite major differences according to the approach adopted, the prevalences of infertility estimated in our study are comparable with those obtained in other similar studies. A set of categories to measure infertility including subjective infertility, 1-year infertility and subfertility have been proposed here, which may be useful for cross-disciplinary comparisons of infertility in clinical and population-based studies. These measures may also assist health managers to tailor fertility resources and services to the real needs of the population and provide a more rapid and effective response to couples. Finally, the calibration adjustments (indirect estimation techniques) applied to the infertility prevalences help to maximize their generalization and improve accuracy. This technique may be considered as a model for application in other epidemiological studies.