An increase in life expectancy occurs with advances in science and technology. The increase in life expectancy raises one of the consequences, namely the increasing number of the elderly population. In general, elderly people face weaknesses, limitations, and disabilities, so that the quality of life of the elderly decreases. One of the influences on the quality of life of the elderly is age, the age of pre-elderly is the quality of life that will be better compared to those who have continued age. Besides, work also affects the quality of the elderly, because if the elderly who have a job or an activity automatically the brain works well and certainly life expectancy is longer, education is the same for the elderly who have higher education, so it is more likely to be a condition that will occur in old age. The purpose of this study was to determine the relationship between age, education, and employment with the quality of life of the elderly. This type of research is cross-sectional, the analysis used is Chi-Square. The results of the analysis note that there is a significant relationship between age and quality of life of the elderly with a p-value of 0.02. From the results of the analysis, the value of OR = 5.4 means that respondents entering pre-elderly age have a quality of life 5.4 times better compared to the elderly in the elderly. This study concludes that there is a significant relationship between age and quality of life of the elderly. So that life expectancy can be longer, and more productive bias.