This paper presents possible approach how different sources of data at farm level, national
statistics and analytical models could be merged in simulation process to analyse income risk
at the sector level. Baseline is production structure resumed out of annual subsidy applications
as key information per each agricultural holding within the sector. Presented approach utilises
potential of random number generator and random distributions of Monte Carlo to roughly
reconstruct different sources of risks in different states of nature that may occur with diverse
probabilities at the particular farm. In such a manner income situation at sector level is
analysed. The developed approach is tested on the 21 farm types further divided into 13
economic classes. Obtained preliminary results suggest that this could be useful approach for
rough estimation of income risk and points on some limitations and drawbacks that should be
further improved