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This paper describes the result of concrete analysis of correlation between in-house activities and power consumptions that has been conducted in order to reduce the home power consumption. Recently, various studies on power consumptions are conducted. In this study, we have executed system development, experiments by subjects, analysis of correlation between life-pattern and power consumptions and proposal of electrical power reduction for the purpose of reducing home power consumption. At present, we are working on analysis of correlation between a life pattern and electrical power consumption of the residents. We asked the residents for inputting their activities for around several minutes per day using a system that we have developed. We were able to collect approximately 11,745 activity inputs, approximately 7.14GB of sensor data, and power consumption data of 237,280 hours corresponding to about 4 months from 35 homes. Using the collected data, we carried out the multiple regression analysis taking an estimated time of activity and sustained period as explanation variables and average power consumption per day as an objective variable. As the result, it was known that there is correlation between life-pattern and power consumption. In this paper, we will show that it becomes possible to execute concrete analysis of relationship between power consumption and activities of residents by using the label data of resident's life pattern.