In this essay we aim at finding an appropriate flash estimator of the quarterly Swedish private consumption (PK). With the aid of the statistics program TRAMO we study if monthly data from the consumer survey (HIP) and retail industry (DH) can be used in a transfer function model (TFM) to forecast PK. In the work of assessing the state of the market and the business trend, fast information from the national accounts is needed for making decisions for the economic politics in Sweden. A way to speed up the information process is to use leading economic indicators to asses this development. Another way to get information faster is to use a flash estimate.