Study exposes flaws in FAO’s global aquaculture data

A groundbreaking study has found that the Food and Agriculture Organization (FAO)’s aquaculture statistics are unreliable, with Egypt used as a case of study to demonstrate how national reporting can distort the global picture. The research, led by Egyptian experts from Alexandria, the Institute of National Planning in Cairo, and the National Institute of Oceanography and Fisheries, and published in Marine Policy, reveals that official aquaculture production figures are significantly overestimated, while key socio-economic indicators are underestimated or entirely absent.

According to the study, Egypt’s reported aquaculture output is overstated by 61%, with inflated estimates across major production systems: earthen ponds (44-51% higher than field data), marine farms (51% higher), and fish cages (628% higher). A the species level, official figures exaggerated production of tilapia (36%), mullets (82%), carps (569%), and marine species (177%).

However, while output is overstated, critical elements of the value chain are understated. The research reveals that official data fail to record 97% of tilapia fry, 96% of mullet fry, and 89% of marine species fry. In addition, approximately 1.1 million tonnes of aquafeed are around 203,000 jobs are absent from official statistics. These omissions obscure the true socio-economic importance of the sector, underestimating its role in employment, rural livelihoods, and upstream industries such as feed and hatcheries.

The authors argue that these distortions-overstating productions while underreporting inputs and labour-mislead policymakers and investors, distort economic assessments, and weaken evidence-based management. They emphasise that Egypt is not an isolated case. A notable precedent occurred in 2006 when revision China’s aquaculture statistics reduced its reported production by 13%, lowering the global total by 8%.

To address these challenges, the study proposes a new, evidence-based validation framework that combines field surveys and input-output analysis to verify official data. The authors argue that this approach could be applied globally to strengthen the accuracy of FAO statistics, support more effective policies, and provide a more reliable basis for sustainable fisheries and aquaculture management.