Role of international, regional and country organizations in adapting to statistical standards and regional differences: The case of food and agriculture statistics

Abstract

The adoption of international standards is essential to producing internationally comparable official statistics. However, as the particular case of the adoption of SDG indicators demonstrates, this is by no means a linear process. According to FAO’s SDG data gap assessment conducted in 2019 and other statistical capacity assessment reports (e.g., World Bank, AfDB…), financial, professional and technological capacities of national statistical agencies vary greatly between countries and regions, as does the level of political support and commitment to statistics. These differences call for more targeted interventions by international institutions to support the uptake of statistical standards. To face this challenge, FAO is increasingly building the capacity of its regional and country offices to better mainstream food and agricultural statistics in regional and national cooperation strategies and activities, while also stepping up its resource mobilization efforts. Regional roadmaps are currently being rolled out to support countries in adopting food- and agriculture-related SDG indicators and other statistical standards, taking into consideration regional particularities, the impact of UN reform, action plans developed by UN Regional Commissions and other relevant regional partnership opportunities. This paper will highlight some of the key regional differences in countries’ capacity to adapt to statistical standards, describe FAO’s regional targeted interventions in the context of food and agricultural statistics, and discuss the remaining main challenges.