Paper

Overcoming the Obstacles of Identifying the Poorest Families

How can microfinance benefit and identify the poorest and measure impacts?

This paper looks at means to identify poorest and neediest microfinance clients illustrated with a South African case study. The authors argue that active poverty-targeting is needed. Poverty targeting can assist by raising awareness of the different needs of different types of clients and allowing for different products to be effectively targeted.

  • The CASHPOR House Index (CHI), uses external housing conditions as a proxy for poverty, and can be very effective in conditions where there is a consistent relationship between poverty and housing conditions;
  • Participatory Wealth Ranking (PWR), uses a community's own definitions and perceptions of poverty, and employs rigorous cross checking methods to ensure consistency and accuracy of results;
  • Both methods aim to build on existing information, collect the minimum data necessary for reliable targeting, and follow-up targeting with a motivation process to encourage the poorest to join the programme;
  • They are context specific:
    • PWR relies on detailed knowledge of a community of itself, and is unlikely to work in contexts where the community is weak, or where there are high levels of conflict or mistrust;
    • Similarly, the CHI relies on there being a strong correlation between housing conditions and poverty. This is not a universal relationship and is very much defined by the context. Where the CHI is adapted to local conditions, perhaps even including other externally visible, non-housing indicators, there is a greater chance of the Index being applicable to a wider range of contexts.

These methods must not be applied blindly but adapted to local needs and conditions. A number of choices need to be made which will determine which tool is used.

[Adapted from the authors' abstract]

About this Publication

By Simanowitz, A., Nkuna, B., Kasim, S.
Published