Abstract: This study investigates performance characteristics of dairy farms derived from zootechnical data in a survey. The studied farms were characterised as qualified, average and unqualified by a multiple response test analysing a set of algorithmic rules based on three categories of zootechnical data: farm size, animal housing and milking mechanisation. Other studied data regarding the parameters of animal nutrition, animal husbandry and animal health will be published later. The parameters of farm size included: number of dairy cows, area of cultivated land, milk production per farm, genetic selection for milk yield and artificial insemination. The parameters of animal housing were type of barn, type of barn floor, storage for feed materials, infirmary unit, barn structure for natural ventilation and provision of drinking water. The parameters of milking mechanisation were type of milking device and way of milking, calibration of milking device, sanitation, pre-milking and hygiene before and after milking. The applicability and validity of the results obtained from the multiple response test were made by the comparisons with the results obtained from the average statistics applied to the same data. The mode statistic, but not the mean statistic meets the terms of results obtained from the multiple response test for the characterisation of farms within each of three sets of zootechnical data. The method of multiple response analysis determining the level of farmer's qualification in a sustainable dairy farming was reproducible. The overall results indicated that 27% of farms were qualified, 38% were averaged and 35% were unqualified farms in the activity of sustainable dairy farming. These figures were discussed with previous findings. The way of present classification helps the regional policy makers to efficiently provide the milk services. Important recommendations and possible changes in current dairy policies were underlined in the light of the obtained results for the policy makers as well as the dairy unions and associations.