Using the KLIPS (Korean Labor and Income Panel Study) from the period 2001~2017 and the unconditional quantile regression model, we analyze the factors affecting household net wealth. We adopt the unconditional quantile regression method which estimates a marginal effect of each quantile. We find that total income of households, living in the metropolitan area, the real estate asset ratio, real estate asset ratio without residential housing, and housing ownership period all strongly affect the net asset of 25, 50, 75 quantile of the households. Furthermore, we attempt to analyze the net asset gap of the age-group by employing RIF-decomposition for each sub-group. We find that housing ownership strongly causes the net asset gap between the respective age-group at the 25, 50, 75 quantile. By considering the different characteristics of households in each quantile and age-group, policymakers can further refine and reinforce the current policy.