The key objective of this research paper is to apply data processing techniques to research the patterns of cooking fuels utilized in India. In a couple of years, the applications of spatial data analytical techniques have spread to most of the fields. The spatial data repository is growing day by day exponentially. The main intention of this paper is to identify the clusters of cooking fuel usage and to seek out the correlation between the different types of cooking fuels used. Every household requires energy to satisfy most of the essential requirements. Household air pollution from cooking with polluting fuels is recognized as a major cause of health hazards. There is poor knowledge of the health effects of prolonged exposure to smoke from unclean cooking fuels among residents. Residents are either unaware or neglect the health impacts of persistent exposure to smoke from polluting cooking fuels, and this leads to serious concerns of indoor air pollution. The local body has to be very proactive in guiding/educating the residents on the health effects of the use of unclean indoor cooking fuel. The administration can use the result of the study to scale back or to seek out the alternate resources of less-polluting cooking fuels. Spatial data processing is a powerful method to extract very much essential and useful information from the large spatial databases.