The MPI, headcount ratio, intensity of poverty, and indicator rates, can all be disaggregated by any group for which the data source is representative. The MPI and its component indicators is usually disaggregated by subnational regions and rural-urban areas. It is also usually disaggregated by some social groups such as indigenous groups or ethnicity, and age cohorts. It is sometimes disaggregated by other population subgroups such as caste, religion, occupation, education of the household head, gender of the household head, disability status, migration status, or other demographic variables.

Disaggregation is critical because it enables us to identify the poorest groups so that special policy interventions can reach them. Studying disaggregated analyses over time shows whether these groups are being left behind or are catching up.