The Self-Reliance Index

The Self-Reliance Index (SRI) is a tool for measuring the progress of refugee households toward self-reliance. It supports practitioners in designing and providing effective services and can be used to target populations for assistance, highlight service gaps, and inform funding priorities.

Use of the SRI is expected to help build an evidence base for enhancing refugee self-reliance opportunities and allow for comparative global analysis. It may also promote collaboration among service providers to ensure that the holistic needs of refugee households are addressed.

Version 1.0 of the SRI is being soft launched in August 2019. A hard launch of version 2.0 is planned for March 2020. During the soft launch period, use of the tool will be broadened beyond the initial pilot sites of Kenya, Jordan and Mexico, but will still be limited in order to capture feedback for final tool refinement. The further learning in this phase will focus on the scoring system, clarity of domains, and additional validity and reliability testing. To request a copy of SRI Version 1.0 in English, Spanish, Arabic, French or Swahili, along with the Scoring Guidance and User Guide, please click the applicable language link below:

Simple and Holistic

The SRI is designed with simplicity in mind to provide a quick, high-level indication of key status changes within a refugee household across twelve domains associated with socioeconomic inclusion: Housing, Food, Education, Healthcare, Health Status, Safety, Employment, Financial Resources, Assistance, Debt, Savings and Social Capital.

Target Populations

The SRI is designed primarily for use with urban and non-camp-based refugee populations in countries or regions of first asylum. Though untested, it might also prove useful in other contexts and with other displaced and conflict-affected populations.


The SRI was developed through a two-year multi-stakeholder process that consolidated input from over 20 partners, including NGOs, UNHCR, researchers, foundations, and government agencies. It is expected to evolve and improve as user feedback increases.