Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

This Methodological Note presents the methodology and technical decisions that underlie the published disaggregation results (age groups, rural and urban areas, subnational regions and gender of household head) of the global Multidimensional Poverty Index (MPI) 2022. The 2022 MPI disaggregation results are based on the most recent data from 111 countries, covering 6.1 billion people. We estimate the MPI and its associated statistics by four age categories (0 to 9 years, 10 to 17 years, 18 to 59 years, and over 60 years) as well as two broad age categories covering children aged 0 to 17 years and adults 18 years and older, by rural and urban areas, and gender of the household head. In addition, the MPI is also computed for 1,287 subnational regions to show disparities in poverty within countries. Subnational disaggregations are published when the survey used for the global MPI is representative at the subnational level and the retained sample permits. This document is structured as follows. Section 2 presents the global MPI structure and indicator definitions. Section 3 provides an outline of the global MPI and its partial indices that we estimate and publish. Section 4 outlines the disaggregation methodology. Section 5 outlines the principles and decisions that underlie our disaggregation work. Section 6 summarises the country-specific decisions that were applied for the new or updated datasets in this round. We conclude with brief closing summary.

Type

Working paper

Publisher

Oxford Poverty and Human Development Initiative (OPHI)

Publication Date

17/10/2022

Pages

1 - 17

Total pages

17

Keywords

global MPI, Multidimensional Poverty Index (MPI), poverty measurement