ILO Global estimate of forced labour
dataset

Data include statistics on trafficking (only trafficking for labour purposes, not including trafficking for the removal of organs, forced marriage, forced adoption…). ILO mainly focuses on the root causes of trafficking, especially weak labour market governance, ineffective labour migration and recruitment systems using media reports, reports from NGOs, GOs, IOs, academia, trade unions.

The methodology used to generate the 2012 estimate of forced labour is a refinement of that applied by the ILO in 2005, when it made its first global estimate of forced labour. The reasons invoked by the ILO to justify the selection of its methodology in 2005 unfortunately remain partly true today. The continued lack of reliable national estimates based on specialized data collection instruments, prevents the use of the most usual means to derive global estimates which is to aggregate national estimates into regional and then global figures. The ILO has now developed and published guidelines for the design and implementation of such national surveys.13 Pilot surveys on forced labour have been successfully implemented in more than ten countries, of which four were national in scope, but this is still an insufficient basis on which to derive a global estimate. More such surveys will have to be implemented in all regions of the world before such an extrapolation method can be applied. Moreover, a systematic review of all papers published by academic or independent researchers regarding the 2005 estimate, shows that it has been generally well received by experts, who nonetheless identified some weaknesses in the methodology. The ILO therefore resolved to work to rectify these weaknesses to the extent possible. As was the case in 2005, the revised method relies on a double sampling of “reported cases” of forced labour, from which a global estimate of reported and non-reported cases can then be extrapolated.

Links

Additional Info

Temporal Coverage End 2012
Status Active
Spatial Coverage World
Mode Report
Data Type statistical;indicators;surveys
Accessed On 2016-11-07
Category international organization

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