The matter of cadastral estimation results is one of the most topical in Russia nowadays. People do not agree to fi scal burdens, scientists are not satisfi ed with mass estimation institutions in general. The main reason for such a situation is problems with source data, namely their insuffi cient quality and quantity. As for insuffi cient quality, the only way to make source data better is proper collecting and storing process, but for quantity the way is to develop new methods of mass estimation. The research is devoted to method of market data extrapolation in time for mass assessment of land development, which is effective under conditions of a weak-developed market. This analytical statistical approach is based on implementation of time factor into multiple regression equation that enables using market data extrapolated in time. The method consists of such steps as collecting price forming factors and, sales data over the period of 10 years, making thematic maps, adequacy analysis, and constructing a valuation model. The outcome of the method implementation in cadastral estimation of individual residential development land plots in Votkinsk city showed that it is 50 % more effective than the results of the current government cadastral evaluation.