The aim of this study is to analyze the factors affecting rural tourists' expenditure. This study used the data from the fact-finding survey on rural tourism, and analyzed 4,223 cases who had experienced rural tourism for one year in 2018. The linear multiple regression analysis were used to identify factors affecting rural tourists' expenditure. The result indicate that the factors influencing the rural tourists' total expenditure were age, monthly income, number of accompany, length of stay, accommodation type(pension), accommodation type(friend's house/relatives'house), accommodation type(camping), distance to the destination, accompany(family/relatives), accompany(solo traveler), occupation(white color), motivation(daily escape and rest), motivation(new experience). The result indicate that the higher the age, the higher the average monthly income of the household, the fewer companions, the longer the length of stay higher the expenditure. As for the accommodation, the pension, motel/inn, hotel/condominium, and recreational forest higher probability of expenditure, while, friend/relative's house or camping higher the probability of less expenditure. The longer the distance to the destination, the solo traveler higher the probability of expenditure in rural tourism.