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BookletCorporate general interestDemocratic Republic of the Congo: DIEM-Monitoring emergency agriculture support brief
September 2025
2025Also available in:
This emergency agriculture support brief presents the results of the tenth round of Data in Emergencies Monitoring (DIEM-Monitoring), conducted in the Democratic Republic of the Congo in June and July 2025. It provides humanitarian actors with an in-depth analysis focused on agricultural households to target interventions aimed at supporting livelihoods and strengthening resilience to future shocks, protecting the food security of rural populations. The Food and Agriculture Organization of the United Nations established DIEM-Monitoring in June 2020. Data are collected several times a year across food insecure countries by DIEM enumerators through computer-assisted telephone interviews and face-to-face surveys. These data cover shocks, agricultural livelihoods, food security and household needs, and are regularly updated and easily accessible on the DIEM Hub. DIEM products consist of dashboards, maps, briefs and aggregated data, enabling partners and stakeholders to activate mitigation measures and target vulnerable households. -
BookletEmergency responseSudan – Al Jazirah: DIEM-Monitoring emergency agriculture support brief
October 2025
2025Also available in:
No results found.This emergency agriculture support brief presents the results of the latest Data in Emergencies Monitoring (DIEM-Monitoring) round conducted in Al Jazirah state in the Sudan in July 2025. Approximately 109 000 agricultural households (0.5 million people) are in need of agricultural support in Al Jazirah. This DIEM-Monitoring brief provides humanitarian actors with an in-depth analysis focused on the agricultural households in need to target interventions aimed at supporting livelihoods and strengthening resilience to future shocks, protecting the food security of rural populations. The Food and Agriculture Organization of the United Nations (FAO) established DIEM-Monitoring in June 2020. Data are collected several times a year across food insecure countries by DIEM enumerators through computer-assisted telephone interviews and face-to-face surveys. These data cover shocks, agricultural livelihoods, food security and household needs, and are regularly updated and easily accessible on the DIEM Hub. DIEM products consist of dashboards, maps, briefs and aggregated data, enabling partners and stakeholders to activate mitigation measures and target vulnerable households. -
BookletTechnical briefYemen: DIEM – Data in Emergencies Monitoring brief, round 23
Results and recommendations, October 2024
2025Also available in:
No results found.This Data in Emergencies Monitoring (DIEM-Monitoring) brief shares the results of the twenty-third round assessment conducted in October 2024 in Yemen. It presents key findings and recommendations for humanitarian actors to utilize in planning and implementing data-driven programming to sustain farmers’ livelihoods and build their resilience to future shocks protecting the food security of rural people. The Food and Agriculture Organization of the United Nations established the DIEM-Monitoring system in June 2020. In 29 of the world’s most food-insecure countries, DIEM-Monitoring enumerators collect data at household level on shocks, agricultural livelihoods, food security and needs several times a year through computer-assisted telephone interviews and face-to-face surveys. This regularly collected and granular data is easily accessible in the form of dashboards, maps, briefs and aggregated data on the DIEM Hub, enabling partners and stakeholders to trigger immediate mitigation and response actions.
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Book (series)Technical studyRegulating Labour and Safety Standards in the Agriculture, Forestry and Fisheries Sectors 2018
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No results found.The general labour and employment laws of many countries do not necessarily take into account the special circumstances of those who work in the agriculture, forestry and fisheries sectors, whereas legislation governing these sectors tend not to integrate appropriate labour standards. This becomes more of a concern where there is a general weakness in inter-sectoral and inter-institutional coordination mechanisms. The Legislative Study seeks to respond to these challenges by providing guidance on the integration of internationally accepted labour standards into national legislation in the agriculture, forestry and fisheries sectors. It identifies the standards that apply to these sectors and shows how they have been or could be integrated into regulatory frameworks governing organic production and other agricultural commodities, contract farming, pesticides management, forestry, fisheries and other related sectors. The overall aim of the Study is to improve relevant regulatory frameworks with regard to the protection of the rights of people who derive their livelihoods in these sectors. -
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Book (stand-alone)Technical bookLand Cover Atlas of Yemen 2024
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No results found.Understanding the utilization, distribution, temporal variations, and human activities related to natural resources is crucial for sustainable land management, especially in Yemen, a country grappling with prolonged conflicts and severe environmental challenges. The competition for natural resources such as water, arable land, and wood among various stakeholders with diverse interests often leads to land degradation and is a key driver of tensions and conflicts. Therefore, obtaining this fundamental information is imperative for promoting sustainable land use and mitigating the negative impacts of resource competition.In Yemen, land cover mapping is essential to support growing concerns about food and nutrition security, improving the resilience of livelihoods to threats and crises in the context of climate change. This atlas contains the land cover dataset for Yemen, prepared as part of a portfolio of projects aimed at enhancing governance and preventing conflicts across the country. The ultimate goal is to reduce displacement and irregular migration by promoting household food security, nutrition, and income.Creating an accurate initial inventory of natural resources is critical for sustaining these achievements over time. The new land cover dataset allows for detailed mapping of natural resources, human settlements, and activities in Yemen. It represents an updated dataset developed for Yemen, integrating high-resolution multi-temporal imagery, machine-learning algorithms, and the Land Cover Meta Language (LCML) to support the Natural Resource Management strategy, land use planning, and other innovative approaches.