Refugees’ financial needs evolve over time. Access to affordable and useful financial services ena-bles their socioeconomic inclusion and helps them better plan for their future.
A shock-responsive assistance distribution system that allows for adjustments of assistance could be more effective in helping refugee communities cope with changes in the wider economy.
Reliable data is essential when planning appropriate solutions for refugees and surrounding communities. Data gaps are potential obstacles when advocating for the involvement of development partners to invest in effective programmes.
While in the past emphasis lay on camps serviced by humanitarian actors, we now know that inclusion of refugees, IDPs, and stateless people in the hosting context is not only a good option, but a necessity to achieve better protection outcomes and to lay the ground for solutions.
The survey shows that displaced Honduran and Salvadoran households are notably worse off in nearly all measures compared to the Venezuelan population and host community, a fact that must be taken into consideration when designing public policies and programmes for these populations.
A growing body of impact studies are providing rich insights on the effectiveness of interventions in forced displacement settings and ways to undertake rigorous evaluations in these settings.
The DIMA Statistics team within the Regional Bureau of UNHCR in the Americas applies multiple strategies to improve the data quality of the 2021 Annual Statistical Report submission in line with the United Nations Statistics Quality Assurance Framework and UNHCR’s draft Statistical Quality Assurance Framework, which will be published later in 2022. In this post, we will present and explain these strategies.
Big data can greatly improve early warning systems for humanitarian emergencies. But they must include potentially “invisible” populations, protect privacy rights, and be usable in cross-border settings.