The quality of life is a fundamental aspect of development and advancement of human societies. However, measuring and expressing the quality of life in any given setting has proved difficult because it includes multiple dimensions. Further, methods based on questionnaire surveys have to contend with responses that are inexact and difficult to quantify. Here I estimate the quality of life of people living in the Indian city of Delhi using fuzzy sets theory, an approach that is designed to handle inexact or ‘fuzzy’ outcomes. Using a stratified random sample set of 330 households, I compare different locations in Delhi based on their access to seven basic services that is assumed to depict the quality of life. I found that the majority of services (in particular, the overall maintenance and transport services) are poor in resettlement colonies, unauthorised colonies, and urbanised villages. The quality of services improves in colonies under the jurisdiction of the Delhi Cantonment Board, the New Delhi Municipal Council, and approved colonies of the Delhi Development Authority. The overall patterns suggest that the differences in satisfaction and access are primarily influenced by location, and within each location they are influenced by economic conditions. Over 36 % of Delhi’s households, which are classified as ‘definitely poor’ and ‘extremely vulnerable’, may be deprived of transport services, around 44 % are deprived of overall maintenance services and over 29 % lack well-maintained green spaces in their neighbourhood. The analysis should draw the attention of policymakers on spatial aspects of development planning.