Abstract

To ensure that the promise of the 2030 Agenda to “leave no one behind” is effectively met, several vulnerable population groups are identified for attention including migrants, refugees, and other forcibly displaced persons (FDPs), and to achieve this goal, enhancing the availability of better data and evidence is essential. In 2018,the Expert Group on Refugee and IDP Statistics (EGRIS) developed a common set of indicators to measure refugees’ well being and
inclusion in host communities, identifying identified key policy areas that are most relevant for forcibly displaced populations.
In 2022, UNHCR embarked in a large project aiming at developing methodological standard to produce curated socioeconomic and protection indicators on forced displacement. The purpose of this paper is to provide a review of the challenges involved in the production of statistically solid thematic indicators on forcibly displaced people, including the presence of FDPs in sampling frames, sampling size requirements necessary to produce statistically representative indicators, survey questions for the identification of FDPs in datasets, and the availability of variables required for the computation of indicators in existing data. More specifically, the paper touches upon the journey towards the elaboration of a framework for the selection and prioritization of key indicators of particular relevance for FDPs based on main frameworks and recommendations, and on how they can be derived from existing data sources. This work’s findings can be generalized to some extent and can be of use for other organizations interested in embarking on a similar journey, in a flexible way, either to inform the selection process of key indicators or to add further indicators will be included in their analysis.