In Iran, as in other countries, Household data is collected every year in the field of official statistics. These data contain valuable information, the results of which are published only in the whole country and province, and so far no results and information have been extracted in the city. The purpose of this study is to use the Hadoop framework for the distribution and processing of household data in the cities of the province, then the extracted information is used for analysis.

It is obvious that the same information and indicators can be extracted and analyzed at a wider level, at the level of other cities of other provinces and even at the village level. According to the results of this research, it is suggested that by using the Hadoop distributed file system, household data can be prepared faster than in the past, which is now collected centrally, offline and with a delay. By providing timely outputs and information, faster and better analyzes can be performed than in the past. It is also suggested that by using the Hadoop distributed system, it will be possible to establish a relationship between the extracted annual household information at the city level with the population census information of the country and fill the statistical gap and household access indicators.