The purpose of our study is to analyze the determinants of the benefits of the long-term care insurance in Korea using 2008 and 2009 cross-sectional data. Per capita long-term care insurance benefits can be divided into home care services utilization rate, institutional care services utilization rate, per capita home care services benefits, and per capita institutional care services benefits, which are used as the dependent variables in our regression analysis. Admission rate and the ratio of the admitted to the applicant also used as the dependent variables. The results of our analysis show that the explanatory variables such as income level, needs for care, family type, access to the services, and regional characteristics are statistically significant to explain the dependent variables, the long-term care insurance benefits. The higher is the regional income and the more of the female residents, the more are the long-term care insurance benefits. The easier is the access to the services, the more are the insurance benefits. In the rural area, the level of the insurance benefits is relatively high. We propose that copayment rates of the long-term care insurance should be examined and monitoring on the over-use of the services should be done. Also preventive services and care by the family member should be expanded.