Robust Thematic Statistics on Forced Displacement and Statelessness
Discover robust thematic statistics on forced displacement and statelessness compiled by Lauren Herby from UNHCR. The data includes SDG indicators, data quality assessment, disaggregation dimensions, and more. Explore the project description and share your feedback to contribute to this important initiative.
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Presentation Transcript
Identification and publication of robust thematic statistics on forced displacement and statelessness Lauren Herby | herby@unhcr.org Statistics, Data Science and Surveys Section Global Data Service
SDG indicators compiled thus far Includes data from UNHCR-led surveys, UNHCR-WFP joint surveys, MICS. Currently processing DHS and census as well. Note does not include SDG 10.7.4, which is source from UNHCR population statistics.
Data quality assessment P2: Accuracy & reliability P1: Relevance P3: Coherence & comparability Inclusion Coverage rate Conformity Response rate (r) Consistency Sampling error (CV) Comparability Cell frequency (n)
Disaggregation & database dimensions time location pop. group origin setting observation nationality urbanisation sex disability core dimension extended dimension age other
More information Project description https://www.jointdatacenter.org/activites/refugee-data- finder/ Blog post: https://www.unhcr.org/blogs/the-journey-to-build-a-new- open-data-finder-on-forced-displacement-that-includes- thematic-data-part-1/ Share your feedback on UNHCR s websites https://forms.office.com/e/mFs91Kd3xS
