The MPI, headcount ratio, intensity of poverty, and indicator rates can all be disaggregated by any group. For example, the MPI and its component indicators are usually disaggregated by subnational regions and rural-urban areas. The MPI is also often disaggregated by social group, 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 head of household, gender of the head of household, 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.