Objective: This study uses Indonesian Family Life Survey 5 (IFLS 5) data with logit and probit models. There were 423 respondents affected by kidney disease (Acute Kidney Injury, Chronic Kidney Disease Stage 5 and Acute Superimposed on CKD). This study uses smoking and quality of sleep variables as lifestyle indicators. Using variables hypertension and depression levels as etiology of respondents. The socioeconomic indicators are seen from income, age and education.  Methods: The results show that the probability of smoking significantly positively affects individuals suffering from kidney disease. The probability of sleep quality significantly negatively affects individuals suffering from kidney disease, the lower the quality of sleep the more chance of developing kidney disease. Based on the etiology of the patient, patients with hypertension are likely to cause kidney disease while depression rates are not. When viewed in terms of socio-economic age and income significant positive for probability to get kidney disease, the education has no effect. Significant of opportunity is indicated by a p value of less than 5% confidence level. Results: . The importance of paying attention to good sleep patterns and not smoking in order to avoid the occurrence of kidney disease. In addition, individuals should pay attention to diet and health so that hypertension does not occur and more activities that support health are due to the large amount of work that will cause an individual to have kidney disease. In addition, residents can use health insurance claims to treat kidney disease.   Conclusions: Objective: One of the frightening non-communicable diseases in the world is kidney disease. The number of kidney disease sufferers in Indonesia ranks second after heart disease according to the Ministry of Health (2015). The purpose of this study is to analyze the chances of Indonesian population affected by kidney disease for productive age in Indonesia.  Methods: This study uses Indonesian Family Life Survey 5 (IFLS 5) data with logit and probit models. There were 423 respondents affected by kidney disease (Acute Kidney Injury, Chronic Kidney Disease Stage 5 and Acute Superimposed on CKD). This study uses smoking and quality of sleep variables as lifestyle indicators. Using variables hypertension and depression levels as etiology of respondents. The socioeconomic indicators are seen from income, age and education.  Results: The results show that the probability of smoking significantly positively affects individuals suffering from kidney disease. The probability of sleep quality significantly negatively affects individuals suffering from kidney disease, the lower the quality of sleep the more chance of developing kidney disease. Based on the etiology of the patient, patients with hypertension are likely to cause kidney disease while depression rates are not. When viewed in terms of socio-economic age and income significant positive for probability to get kidney disease, the education has no effect. Significant of opportunity is indicated by a p value of less than 5% confidence level. Conclusions: . The importance of paying attention to good sleep patterns and not smoking in order to avoid the occurrence of kidney disease. In addition, individuals should pay attention to diet and health so that hypertension does not occur and more activities that support health are due to the large amount of work that will cause an individual to have kidney disease. In addition, residents can use health insurance claims to treat kidney disease.