For the analysis of mortality differentials by socioeconomic factors based on death registration data, we have considered four variables : place of residence, educational attainment, marital status and occupation. The age range adopted were 5 to 64 years of age for place of residence, and 25 to 64 years of age for the other factors. The mortality differentials by socioeconomic variables were clear and in the expected direction: mortality levels among urban residents, better educated groups, and non- agricultural workers were lower than among the other sub- groups. The average mortality level in rural areas is much higher than in urban areas : the rural mortality levels were at least double the urban levels at ages below 40 years, but became smaller after age 40, and no clear differentials by urban I rural residence increased until 1974~76 for the both sexes, but since the then differentials have declined slowley for both sexes. This changing pattern of mortality differentials by place of residence can be explained by historical socioeconomic development : the development generally started in urban areas, and rural areas followed : in the course of socioeconomic development the differences between the death rates in the two areas became smaller and finally the mortality levels in the two areas became nearly the same, as is found in the developed countries nowadays. The inverse relationships between mortality and educational level became stronger between the periods 1970~72 and 1984~86, but showed the same atterns of mortality differentials in both period : larger differences among the younger age groups, and for males, than among the older age groups, and for females. The increasing mortality differentials in the fourteen-year period between 1970~72 and 1984~86 were caused by inadequate living standards of the non- educated, whose proportion in the total population, however, dropped sharply during that period. Also, the much lower proportions of low - educated groups or of persons with no formal education among males than females helped to establish the clearly pronounced differentials. The mortality differentials by marital status in Korea showed the usual pattern : the mortality rates of the married in each age and sex group were clearly lower than those of others during the fourteen-year period between 1970~72 and 1984~86. In Korean society which remotes universal marriage, the never married recorded especially high death rates, presumably mainly because of ill - health, but also possibly because of the stigma attached to celibacy. However, the mortality differentials by marital status changed with the changes in the proportionate distribution by marital status during the period : the differences between the death rates of the married and never married groups became smaller, the proportion of the never married group increased : in contrast, the differences between mortalities of the married and widowed / divorced / separated groups widened, with the decrease in the proportion of the later group ; this tendency was perticularly marked for females. Occupational groups also showed clear mortality differences : among four occupational groups mortality of males was highest among agricultural workers and lowest among 'professional, admi-nistrative and clerical workers, However, when the death rates were standardized by educational level, the death rates by occupation in age group 45~64 years were nearly the same (excet for the mixed group consisting of unemployed, students, military servicemen and unknown). Therefore, the clear mortality dfferentials by occupation in Korea resulted mainly from the differences in educational level between different occupation groups. Since socioeconomic characteristics are related to each other, the net effect of each variable was examined. Each of the three variables - ducational level, marital status and urban / rural residence affected significantly Korean adult mortality when the effects of the other variables were controlled. Among the three variables educational level was the most important factor for the determination of the adult mortality level. When male's occupation was added to the above three variables, the effects of occupation on adult mortality were notably smaller after control for the effects of the other three variables while the net effects of these three variables were nearly the same irrespectively whether occupation was included or not. Thus, the differences in educational level (mainly), place of residence and marital status bring out the clear differences in observed mortality levels by occupation.