Measuring Progress out of Poverty

Date last updated: Feb 20, 2007 – vinodhn

Update: UI Screens for this feature are now available `here <https://mifos.dev.java.net/source/browse/mifos/documents/ui-workspace/20_Feb_07.zip>`_.

Also see PPI Survey Conventions

To view the screens, download and extract the zip folder, click on login.htm, and if your browser gives you a warning select "Accept blocked content". Click "Login" button, click on "admin" tab, and follow the Functional Spec below for configuring and Viewing PPI tools and Completing a PPI Survey.

Business Need

Microfinance is a powerful tool in helping people move out of poverty. Measuring a client's poverty status and tracking this status over time is an important indicator that MFIs use to evaluate their social impact. Grameen Foundation's Social Performance Management Group has developed a Progress Out of Poverty Index. The feature described below will integrate the Progress Out of Poverty index into Mifos so that MFIs can store and report on their clients' movement out of poverty. For more background on this feature, see:

This includes the survey and indexes used to track poverty in 6 countries: India, Bangladesh, Haiti, Mexico, Pakistan, and the Philippines. This document also includes a good overview of GF's approach to poverty measurement.

Feature Overview

There are 5 terms that will be used when describing this functionality:

Poverty Index Survey: ---------------------

This is a country-specific survey that includes anywhere from 8 - 15 questions used to determine the Poverty Index Score (see below). The answers to each question carry a "score". The answers' scores are summed off-line and a Poverty Index Score is determined. The Poverty Index Score is the last field of each survey. These surveys are specific to a country. For example, the ownership of a pressure cooker may be an important factor to consider in India but may not be a relevant factor in Africa.

Poverty Index Score:

This is a score from 0 - 100 that is calculated from answers to the poverty survey. A total score of 0 is an indication of being extremely poor, a total score of 100 is an indication of being non-poor. As mentioned below, the value of this field is calculated by the application based on the answers to the survey questions.

Poverty Likelihood Chart:

A Poverty Index Score corresponds to a Poverty Likelihood that is detailed on a Poverty Likelihood Chart-- the probability that the client is non-poor, at-risk, poor, or very poor. For example, in India, if a client receives a poverty index score of 52 means that the client has a 2.5% chance of being very poor, a 10.8% chance of being poor, and a 86.7% chance of being non-poor. These probability %s will be used to calculate the overall poverty rate/likelihood of a larger portfolio and are not necessarily useful on at an individual client level. These Poverty Likelihood Charts are also country specific.

MFI defined poverty bands

While understanding the poverty probabilities for the overall portfolio is very important, MFIs also need to definitively identify their clients as belonging to a specific poverty buckets. Based on these buckets, they can offer particular products or track loan repayments/retention rates/recruitment rates of clients that fall within these buckets. The feature described below will allow an MFI to define what PI Score ranges map to which poverty buckets.

Client Poverty Status:

This is a data attribute stored at the client level. In Mifos, the look-up values for this field are configurable by the MFI. Currently this field is a user-edited field that can be changed at any time. The functionality below describes how the poverty defined bands would be used to determine this value.

Feature Summary

Configuring PPI and MFI defined poverty Bands

User Flow: Viewing the PPI Settings

User Flow: Completing a PPI Survey

Additional Information

User Flow: Editing a PPI Survey

User Flow: Deleting a PPI Survey

User Flow: Generating Reports on PPI Scores

Examples of reports that we'll likely want to generate using PPI scores. More detail and explanation still needed:

PPI Scorecards

India Scorecard Mexico Scorecard Peru Scorecard Philippines Scorecard Bolivia Scorecard Pakistan Scorecard Morocco Scorecard Haiti Scorecard

– Main.vinodhn - 20 Feb 2007 Date last updated: Feb 20, 2007 – vinodhn