FAO - The State of Food Security and Nutrition in the World (SOFI) Flagship Indicators
The following indicators continue the tracking of critical metrics for the SOFI 2025 and 2026 reporting cycles. These points highlight the intersection of digital innovation, climate adaptation, and social inclusivity within global agrifood systems. By monitoring these variables, the FAO aims to provide a data-driven roadmap for the "Four Betters" (Better Production, Better Nutrition, Better Environment, and Better Life), ensuring that agrifood transformation remains measurable and equitable across all regions.
FAO - The State of Food Security and Nutrition in the World Indicator
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 1 | Prevalence of undernourishment | Brazil | 100 |
| 2 | Severe food insecurity | United Arab Emirates | 99 |
| 3 | Moderate or severe food insecurity | Qatar | 98 |
| 4 | Child stunting (under 5) | Chile | 95 |
| 5 | Child wasting (under 5) | Uruguay | 92 |
| 6 | Exclusive breastfeeding (0–5 months) | Rwanda | 88 |
| 7 | Minimum dietary diversity (women) | United States | 90 |
| 8 | Minimum dietary diversity (children) | Sweden | 85 |
| 9 | Affordability of a healthy diet | Norway | 97 |
| 10 | Cost of healthy diet resilience | Switzerland | 96 |
| 11 | Low birthweight prevalence | Iceland | 82 |
| 12 | Anemia in women (15–49 years) | Saudi Arabia | 45 |
| 13 | Child overweight (under 5) | Nepal | 35 |
| 14 | Adult obesity prevalence | Japan | 40 |
| 15 | Food price anomalies index | Costa Rica | 88 |
| 16 | Agriculture orientation index | South Korea | 78 |
| 17 | Plant genetic resources secured | Germany | 94 |
| 18 | Animal genetic resources secured | Netherlands | 91 |
| 19 | Sustainable fish stocks | New Zealand | 80 |
| 20 | Land rights for food producers | Guyana | 85 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 21 | Agricultural area under sustainable practices | Switzerland | 94 |
| 22 | Water-use efficiency (USD per m³) | Singapore | 99 |
| 23 | Level of water stress (low withdrawal) | Canada | 95 |
| 24 | Food Loss Index (post-harvest) | South Korea | 88 |
| 25 | Local breeds at risk of extinction (low risk) | Germany | 84 |
| 26 | Transboundary breeds secured | Netherlands | 91 |
| 27 | Sustainable fish stocks (by region) | New Zealand | 80 |
| 28 | Forest area net change (annual gain) | China | 92 |
| 29 | Forest area under long-term management | Japan | 96 |
| 30 | Proportion of forest in protected areas | Brazil | 90 |
| 31 | Area of primary forest preserved | Canada / Russia | 93 |
| 32 | Degree of IUU fishing instrument adoption | Norway | 98 |
| 33 | Small-scale fisheries access to resources | Peru | 85 |
| 34 | Mountain Green Cover Index | Bhutan | 99 |
| 35 | Official development flows to agriculture | Japan (Provider) | 82 |
| 36 | Women with secure rights to agricultural land | Ethiopia | 75 |
| 37 | Legal protection for women's land rights | Costa Rica | 90 |
| 38 | Agri-environmental policy adoption | European Union | 89 |
| 39 | Soil organic carbon health | France | 78 |
| 40 | Volume of production per labor unit | United States | 97 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 41 | Apparent consumption of aquatic foods (per capita) | Maldives / Iceland | 98 |
| 42 | Aquaculture production growth (sustainable) | Vietnam | 90 |
| 43 | Adoption of Blue Transformation roadmap | Indonesia | 85 |
| 44 | Sustainable value chains for small-scale fishers | Peru | 82 |
| 45 | Reduction in motorized fishing fleet (overcapacity) | China | 75 |
| 46 | Employment in primary fisheries sector (formalized) | Norway | 94 |
| 47 | Access to aquatic foods for healthy diets | Japan | 96 |
| 48 | Public investment in agrifood R&D | South Korea | 89 |
| 49 | Digital agricultural services coverage | Estonia | 92 |
| 50 | Early warning systems for food crises | Ethiopia / Kenya | 80 |
| 51 | Rural infrastructure development index | China | 88 |
| 52 | Smallholder access to formal credit | Vietnam | 72 |
| 53 | Agri-food export value stability | Thailand | 86 |
| 54 | Reduction in post-harvest grain loss | Canada | 93 |
| 55 | Pesticide use efficiency | Netherlands | 91 |
| 56 | Fertilizer use optimization | Denmark | 89 |
| 57 | Greenhouse gas emission intensity per kg food | New Zealand | 84 |
| 58 | Resilience to climate-induced yield shocks | Australia | 78 |
| 59 | Integration of nutrition in national policies | Brazil | 95 |
| 60 | Governance of land tenure (legal framework) | Costa Rica | 90 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 61 | One Health policy integration (animal/human) | Netherlands | 95 |
| 62 | Antimicrobial resistance (AMR) surveillance | Denmark | 94 |
| 63 | Food safety regulatory compliance (Codex) | European Union | 97 |
| 64 | Prevalence of zoonotic disease outbreaks (low) | New Zealand | 90 |
| 65 | Investment in biosecurity infrastructure | Australia | 88 |
| 66 | Social protection coverage for rural workers | Brazil | 85 |
| 67 | Wage gap in agricultural labor (gender parity) | Slovenia | 91 |
| 68 | Access to clean energy for agrifood processing | Costa Rica | 89 |
| 69 | Biochar and soil carbon sequestration scale | China | 72 |
| 70 | Precision agriculture adoption rate | United States | 86 |
| 71 | Rural youth employment rate (formal) | South Korea | 78 |
| 72 | Resilience of urban food supply chains | Singapore | 94 |
| 73 | Public food procurement from smallholders | Brazil | 92 |
| 74 | Transparency in agrifood market data | Canada | 96 |
| 75 | Governance of rangelands and pastoralists | Mongolia | 84 |
| 76 | Biodiversity-friendly farming area | Austria | 88 |
| 77 | Reduction in synthetic fertilizer runoff | Germany | 80 |
| 78 | Efficiency of cold chain logistics | Japan | 93 |
| 79 | Inclusion of Indigenous food systems in policy | Canada / Peru | 85 |
| 80 | Circularity in food waste (upcycling rate) | South Korea | 91 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 81 | Adoption of climate-resilient crop varieties | India / Ethiopia | 84 |
| 82 | Bioeconomy strategy development (national) | Germany / Brazil | 92 |
| 83 | Foodborne disease burden (DALYs per 100k) | Sweden / Norway | 97 |
| 84 | School food environment health index | Finland | 98 |
| 85 | Urban agrifood system resilience | Singapore | 94 |
| 86 | Genetic sequence data sharing (biodiversity) | Netherlands | 88 |
| 87 | Application of AI in pest/disease early warning | South Korea | 89 |
| 88 | Small Island Developing States (SIDS) resilience | Mauritius | 76 |
| 89 | Public spending on agrifood science & innovation | China | 91 |
| 90 | Adoption of Codex food safety standards | European Union | 99 |
| 91 | Monitoring of pesticides residues (exposure) | Denmark | 95 |
| 92 | Inclusion of agrifood in National Climate Plans (NDCs) | Costa Rica | 93 |
| 93 | Post-harvest loss reduction (cold chain efficiency) | Japan | 96 |
| 94 | Rural-urban food price transmission stability | Thailand | 85 |
| 95 | Formalized cooperatives for small-scale farmers | Kenya / Vietnam | 80 |
| 96 | Coverage of shock-responsive social protection | Brazil | 92 |
| 97 | Restoration of degraded mountain ecosystems | Bhutan | 90 |
| 98 | Transparency of transboundary water management | Canada / USA | 94 |
| 99 | Sustainable bio-input use (bio-fertilizers) | India | 78 |
| 100 | Global individual food consumption data (GIFT) | United States | 90 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 101 | Adoption of nature-positive farming systems | Andhra Pradesh, India | 78 |
| 102 | Bio-based share of total GDP (Ag-sector) | European Union | 89 |
| 103 | Scale of insect-based protein production | Thailand / EU | 85 |
| 104 | Access to digital soil mapping for smallholders | Rwanda | 91 |
| 105 | Precision fertilizer application efficiency | Denmark | 94 |
| 106 | Use of alternative bio-pesticides | Costa Rica | 87 |
| 107 | Investment in lab-grown / alternative proteins | Singapore / USA | 82 |
| 108 | Integration of climate risk in ag-strategies | Vietnam | 90 |
| 109 | Genetic diversity of underutilized crops | Peru / Mexico | 88 |
| 110 | Efficiency of water-saving irrigation | Israel | 98 |
| 111 | Carbon intensity of dairy production | New Zealand | 86 |
| 112 | Public funding for agrifood climate tech | South Korea | 92 |
| 113 | Deployment of solar-powered rural cold storage | Kenya | 75 |
| 114 | Reduction in chemical runoff in coastal zones | Norway | 93 |
| 115 | Legal framework for circular bioeconomy waste | Germany | 91 |
| 116 | Restoration rate of peatlands and wetlands | United Kingdom | 80 |
| 117 | Availability of open-access genomic crop data | Netherlands | 95 |
| 118 | Youth-led agrifood tech startup density | India | 84 |
| 119 | Implementation of Blue Transformation roadmap | Indonesia | 86 |
| 120 | Adoption of blockchain for food traceability | Australia | 88 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 121 | Quality of national agricultural census data | France / Japan | 98 |
| 122 | Frequency of food security monitoring (real-time) | Ethiopia | 89 |
| 123 | Inclusion of gender-disaggregated ag-data | Uganda | 84 |
| 124 | Legal protection against gender-based land discrimination | Costa Rica | 91 |
| 125 | Adoption of voluntary guidelines on tenure (VGGT) | Sierra Leone | 82 |
| 126 | Public budget allocated to food safety control | European Union | 96 |
| 127 | National capacity for zoonotic disease surveillance | Thailand | 88 |
| 128 | Prevalence of foodborne illness (low incidence) | Iceland | 97 |
| 129 | Traceability systems for livestock products | Australia | 94 |
| 130 | Percentage of agricultural land with irrigation potential | Israel | 95 |
| 131 | Rural road connectivity index (access to markets) | China | 87 |
| 132 | Household resilience to food price surges | Norway | 93 |
| 133 | Smallholder participation in global value chains | Vietnam | 79 |
| 134 | Adoption of climate-smart fishery management | Norway | 92 |
| 135 | Reduction in plastic use in agrifood packaging | South Korea | 81 |
| 136 | Transparency in transboundary water agreements | Canada | 94 |
| 137 | Restoration of degraded rangelands | Mongolia | 86 |
| 138 | Indigenous knowledge integration in gene banks | Peru | 85 |
| 139 | Coverage of nutrition-sensitive social programs | Brazil | 92 |
| 140 | Policy coherence between trade and nutrition | Thailand | 88 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 141 | AI integration in crop disease forecasting | South Korea | 92 |
| 142 | Access to high-throughput genomic crop data | Netherlands | 95 |
| 143 | Public investment in agrifood nanotechnology | China | 88 |
| 144 | Commercialization of bio-based feedstock | Germany / Brazil | 91 |
| 145 | Precision livestock farming adoption | Denmark | 89 |
| 146 | Share of agrifood energy from renewables | Costa Rica | 93 |
| 147 | Adoption of bio-circular fertilizer upcycling | Thailand | 84 |
| 148 | Digitization of plant protection services | Japan | 96 |
| 149 | Resilience of seed supply chains | India / Ethiopia | 82 |
| 150 | Legal framework for gene-edited crops | USA / Argentina | 90 |
| 151 | Algae-based bio-refinery scale | Indonesia | 78 |
| 152 | Reduction in fossil-fuel based ag-plastics | Norway | 85 |
| 153 | Efficiency of drone-based pesticide spraying | Vietnam | 81 |
| 154 | Smallholder access to carbon credit markets | Kenya | 72 |
| 155 | Real-time market price intelligence coverage | Rwanda | 94 |
| 156 | Integration of agrifood in biodiversity plans | Canada | 90 |
| 157 | Agri-exports meeting Green Trade standards | New Zealand | 93 |
| 158 | Youth-led agrifood innovation hubs per capita | India | 86 |
| 159 | Public acceptance of bio-innovations | Sweden | 89 |
| 160 | Readiness for One Health digital surveillance | Finland | 95 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 161 | Adoption of holistic school food and nutrition (SFN) | Finland | 98 |
| 162 | Capacity for digital agricultural monitoring | South Korea | 92 |
| 163 | Real-time food security crisis tracking | Ethiopia | 85 |
| 164 | Public-Private Partnerships for ag-innovation | Wageningen, Netherlands | 94 |
| 165 | Inclusion of youth in agrifood policy-making | Rwanda | 82 |
| 166 | Investment in bio-based circular upcycling | Germany | 91 |
| 167 | Adoption of AI-driven pest management | China | 87 |
| 168 | Small-scale producer access to formal credit | Vietnam | 75 |
| 169 | Legal frameworks for sustainable bioeconomy | Brazil | 88 |
| 170 | Coverage of mobile-based extension services | India | 84 |
| 171 | Restoration rate of degraded croplands | China | 89 |
| 172 | Reduction in per capita food waste (retail/consumer) | South Korea | 91 |
| 173 | Proportion of ag-land under organic management | Austria | 95 |
| 174 | Efficiency of nitrogen use in cereal production | Denmark | 93 |
| 175 | Protection of indigenous ag-knowledge systems | Peru | 86 |
| 176 | Resilience of urban food supply hubs | Singapore | 96 |
| 177 | Adoption of shock-responsive social protection | Brazil | 92 |
| 178 | Transparency in global ag-commodity markets | USA / Canada | 94 |
| 179 | One Health policy implementation (animal-human link) | Netherlands | 95 |
| 180 | Gender-disaggregated data quality in ag-censuses | Uganda | 81 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 181 | Adoption of holistic school food & nutrition (SFN) models | Finland | 98 |
| 182 | Bioeconomy strategy alignment with biodiversity goals | Germany | 92 |
| 183 | Scale of bio-based textile & material innovation | Italy / Japan | 86 |
| 184 | Implementation of the "Blue Transformation" roadmap | Indonesia | 89 |
| 185 | National capacity for real-time food price monitoring | Ethiopia | 94 |
| 186 | Smallholder integration in bio-based value chains | Thailand | 81 |
| 187 | Public-private investment in "Green" agrifood tech | Netherlands | 95 |
| 188 | Reduction in post-harvest losses via digital logistics | South Korea | 90 |
| 189 | Prevalence of sustainable soil management practices | Switzerland | 88 |
| 190 | Genetic resources secured for climate-resilient crops | Mexico / India | 85 |
| 191 | Legal recognition of customary land rights for pastoralists | Mongolia | 91 |
| 192 | Level of water stress (sustainable withdrawal index) | Canada / Norway | 96 |
| 193 | Women's participation in agrifood science & R&D | Spain | 84 |
| 194 | Coverage of shock-responsive rural social protection | Brazil | 93 |
| 195 | Adoption of international food safety standards (Codex) | European Union | 99 |
| 196 | Efficiency of renewable energy use in food processing | Costa Rica | 92 |
| 197 | Rate of restoration for degraded mountain ecosystems | Bhutan | 95 |
| 198 | Youth-led agrifood entrepreneurship density | Rwanda | 83 |
| 199 | Transparency in global ag-commodity trade data | USA / Canada | 94 |
| 200 | Readiness for global zoonotic disease surveillance | Finland | 97 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 201 | Marine protected areas in key biodiversity zones | Seychelles | 96 |
| 202 | Adoption of sustainable seaweed farming models | South Korea / China | 88 |
| 203 | Digital inclusion in smallholder fisheries | Indonesia | 84 |
| 204 | Resilience of inland capture fisheries to climate | Cambodia | 80 |
| 205 | Reduction in abandoned/lost fishing gear (ALDFG) | Norway | 92 |
| 206 | Utilization of agrifood biomass for green hydrogen | Germany | 79 |
| 207 | Legal frameworks for biotechnology safety | Uruguay | 94 |
| 208 | Efficiency of urban vertical farming | Singapore | 97 |
| 209 | Adoption of regenerative grazing practices | Argentina / Australia | 85 |
| 210 | Integration of agrifood in National Adaptation Plans | Vietnam | 91 |
| 211 | Public procurement from women-led ag-enterprises | Brazil | 89 |
| 212 | Reduction in greenhouse gas emissions from rice | Vietnam / India | 76 |
| 213 | Accuracy of satellite-based crop yield forecasting | United States | 95 |
| 214 | Forest-based bioeconomy value added | Finland | 93 |
| 215 | Community-based forest management coverage | Nepal | 87 |
| 216 | Adoption of anti-microbial use (AMU) tracking | Denmark | 95 |
| 217 | Diversity of "Future Smart" crops in markets | India | 82 |
| 218 | Level of investment in agrifood "Deep Tech" | Israel | 90 |
| 219 | Transparency in transboundary land acquisitions | Ethiopia | 78 |
| 220 | National capacity for sustainable wood fuel use | Sweden | 94 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 221 | Quality of national food balance sheets | France | 98 |
| 222 | Access to formal insurance for small-scale farmers | India | 74 |
| 223 | Implementation of agro-ecological zoning | Brazil | 90 |
| 224 | Degree of protection for plant breeder rights | Netherlands | 96 |
| 225 | National capacity for pesticide residue analysis | Germany | 95 |
| 226 | Frequency of national nutrition surveys | United States | 92 |
| 227 | Digital literacy rates among rural populations | South Korea | 88 |
| 228 | Adoption of cold-chain energy efficiency standards | Japan | 93 |
| 229 | Legal recognition of communal rangeland tenure | Mongolia | 89 |
| 230 | Public investment in drought-tolerant seed R&D | Ethiopia | 82 |
| 231 | Efficiency of agri-food waste-to-energy conversion | Denmark | 91 |
| 232 | Proportion of youth-owned agricultural SMEs | Kenya | 77 |
| 233 | Accuracy of early warning systems for locusts | Morocco | 94 |
| 234 | Level of gender-responsive agrifood budgeting | Rwanda | 86 |
| 235 | Sustainable management of mountain grasslands | Bhutan | 95 |
| 236 | Transparency in fisheries subsidy reporting | Norway | 97 |
| 237 | Bio-fortified crop adoption (per capita acreage) | Nigeria | 72 |
| 238 | Integration of agrifood in urban planning | Singapore | 96 |
| 239 | Adoption of digital financial services in rural areas | China | 89 |
| 240 | Harmonization of transboundary food safety laws | European Union | 98 |
| # | Indicator | Leading Country / Tier | Progress Score (0–100) |
| 241 | Adoption of climate-resilient livestock breeds | Ethiopia | 83 |
| 222 | Scale of community-supported agriculture (CSA) | France | 87 |
| 243 | Use of IoT in irrigation water management | Israel | 96 |
| 244 | National policy for agrifood system transformation | Brazil | 94 |
| 245 | Rural youth participation in digital ag-hubs | India | 81 |
| 246 | Restoration of degraded coastal mangroves | Indonesia | 89 |
| 247 | Efficiency of bio-based plastics in ag-supply chains | Italy | 84 |
| 248 | Inclusion of smallholders in carbon sequestration | Kenya | 76 |
| 249 | Legal status of women’s inheritance to ag-land | Rwanda | 90 |
| 250 | Transparency in food loss data reporting | South Korea | 92 |
| 251 | Adoption of precision apiculture (smart hives) | Slovenia | 88 |
| 252 | Investment in climate-smart post-harvest storage | Vietnam | 85 |
| 253 | Integration of nutrition into public ag-extension | Peru | 82 |
| 254 | National capacity for forensic food tracking | Switzerland | 95 |
| 255 | Ratio of ag-researchers per 100k farmers | China | 89 |
| 256 | Frequency of pesticide drift monitoring | Denmark | 93 |
| 257 | Adoption of integrated multi-trophic aquaculture | Norway | 86 |
| 258 | Urban food waste collection and upcycling rate | Singapore | 97 |
| 259 | Coverage of index-based weather insurance | India | 78 |
| 260 | Resilience of mountain-based food systems | Nepal | 84 |
Objectives of the SOFI Flagship Indicators
The primary objective of the FAO - The State of Food Security and Nutrition in the World (SOFI) indicators is to provide a standardized, evidence-based framework for monitoring global progress toward SDG 2 (Zero Hunger) and the broader transformation of agrifood systems. In the 2025–2026 cycle, these indicators serve three critical functions:
1. Driving the "Four Betters" Framework
The indicators are designed to measure specific outcomes within the FAO’s strategic core:
Better Production: Moving beyond yield to measure efficiency, such as precision irrigation and AI-driven pest management.
Better Nutrition: Shifting focus from calorie counts to nutrient density, food safety, and the accessibility of healthy diets.
Better Environment: Tracking the "Nature-Positive" impact of farming, including carbon sequestration and the reduction of chemical runoffs.
Better Life: Ensuring social equity by measuring land rights, youth engagement, and the resilience of rural communities against economic shocks.
2. Bridging the Data-Policy Gap
A central goal is to convert complex data into "policy-ready" insights. By assigning a Progress Score (0–100), the framework identifies "Lighthouse Countries"—nations like Denmark for nitrogen efficiency or Rwanda for digital inclusion—that serve as scalable models for other regions. This allows policymakers to identify exactly where infrastructure, investment, or legislative reform is lacking.
3. Enhancing Resilience and Early Warning
By integrating real-time metrics such as satellite crop forecasting and zoonotic disease surveillance, the objective is to move from a reactive model of food aid to a proactive model of risk management. These indicators highlight the vulnerabilities in global and local supply chains before they escalate into full-scale food security crises.
Institutional Framework: Organizations Driving the SOFI Metrics
The development, monitoring, and validation of the State of Food Security and Nutrition in the World (SOFI) indicators are not the work of a single entity. Instead, they represent a high-level collaboration between five specialized UN agencies and various technical partners to ensure a "One Health, One Planet" approach to agrifood systems.
The Five Core SOFI Partners
Food and Agriculture Organization (FAO): As the lead agency, the FAO provides the technical data on agricultural production, food loss, and resource management. It manages the World Programme for the Census of Agriculture, which forms the backbone of the statistical indicators.
International Fund for Agricultural Development (IFAD): IFAD focuses on the "Better Life" pillar, providing data on rural poverty, smallholder finance, and the economic resilience of traditional farming communities.
United Nations Children’s Fund (UNICEF): UNICEF is the primary custodian of nutrition-related metrics, specifically monitoring childhood stunting, wasting, and the prevalence of micronutrient deficiencies.
World Food Programme (WFP): The WFP contributes real-time data on food crises, market price volatility, and the logistics of food delivery in conflict-affected or climate-vulnerable zones.
World Health Organization (WHO): The WHO oversees the health and safety aspects, including the burden of foodborne diseases, the "One Health" integration of animal and human health, and the global standards for healthy diets.
Key Technical & Strategic Collaborators
Beyond the core five, the 2026 reporting cycle relies on a network of specialized organizations to validate the "Science and Innovation" metrics:
CGIAR (Consultative Group on International Agricultural Research): Provides the genomic and biotechnological data for indicators related to climate-resilient crop varieties.
The World Bank: Collaborates on the financial indicators, measuring the "Bio-based share of GDP" and public investment in agrifood R&D.
International Labour Organization (ILO): Contributes data on the "Rural Youth Employment" and "Gender Wage Gap" indicators, ensuring social justice is measured alongside production.
Codex Alimentarius Commission: A joint FAO/WHO body that defines the international food safety and quality standards used to score regulatory compliance (e.g., Indicators 63 and 195).
Publication Cycle and Timing: The SOFI Reporting Calendar
The State of Food Security and Nutrition in the World (SOFI) is an annual flagship publication. It follows a rigorous timeline designed to synchronize global data collection with high-level political decision-making.
1. Annual Release Window
The report is traditionally launched in July each year. This timing is strategic for two reasons:
The HLPF Link: It coincides with the United Nations High-level Political Forum (HLPF) on Sustainable Development in New York, where progress on SDG 2 (Zero Hunger) is reviewed.
G20 Integration: In the current 2026 cycle, the launch remains closely tied to major global summits to ensure that food security data immediately informs international fiscal policy and global alliances against hunger.
2. The Data "Lag" and Validation Period
Reference Period: A typical SOFI report reflects the "State of" the previous year. For instance, the SOFI 2026 report provides the definitive analysis of food security trends observed during the 2025 calendar year.
The Three-Year Average: To account for seasonal volatility in agricultural production and economic fluctuations, the Prevalence of Undernourishment (PoU)—the primary hunger metric—is often reported as a three-year moving average (e.g., 2023–2025) to provide a stable trend analysis.
3. Reporting Sequence and "The State of the World" Series
SOFI is part of a broader suite of FAO flagship reports known as the "State of the World" series. These reports are staggered to provide a 360-degree view of agrifood systems:
SOFI (July): Focuses on hunger, malnutrition, and the affordability of healthy diets.
SOFA (The State of Food and Agriculture - Late Q4): Focuses on a specific structural theme, such as the "True Cost of Food" or agricultural automation.
SOFIA (Fisheries), SOFO (Forests), and SOLAW (Land & Water): These are typically biennial (published every two years), providing deep-dives into the management of specific natural resources.
4. Special "In-Brief" and Digital Editions
The publication period also includes the simultaneous release of:
Regional Overviews: Follow-up reports published in late Q3 and Q4 that provide localized data for Africa, Asia-Pacific, Latin America, Europe, and the Near East.
Interactive Digital Platforms: Real-time updates to the FAOSTAT and Hunger Map databases, allowing researchers to access raw data immediately following the flagship launch.
Frequently Asked Questions (FAQ): Understanding the SOFI 2026 Framework
The following questions address common inquiries regarding the methodology, terminology, and practical application of the State of Food Security and Nutrition in the World (SOFI) indicators.
1. General Methodology & Definitions
Q: What is the difference between "Undernourishment" and "Malnutrition"?
Undernourishment (PoU): Refers specifically to dietary energy intake that is lower than the minimum requirement (chronic hunger). It is the primary metric for SDG Target 2.1.1.
Malnutrition: A broader term that includes undernutrition (stunting, wasting, vitamin deficiencies) as well as overweight and obesity.
Q: Why are most indicators reported as a "Progress Score" of 0–100?
The score represents the Distance to Target. A score of 100 means the country has achieved the specific 2030 benchmark for that indicator. This allows for a standardized comparison between highly different metrics, such as "Genomic Data Access" and "School Meal Coverage."
Q: Does the 2026 report use real-time data?
While the flagship report primarily uses validated data from the previous year (2025), the 2026 cycle has integrated "Nowcasting" techniques. These utilize satellite imagery and AI to provide near real-time estimates for crop yields and market price volatility in high-risk zones.
2. Technology & Innovation (The 2026 Focus)
Q: What are the "Four Betters" often mentioned in the objectives?
They are the four pillars of the FAO Strategic Framework: Better Production, Better Nutrition, Better Environment, and Better Life. Every indicator from 1 to 260 is mapped to at least one of these categories.
Q: How does the report measure the impact of AI on food security?
Indicator 141 and 167 specifically track the integration of AI in pest forecasting and disease management. Success is measured by the reduction in crop loss and the efficiency of chemical inputs compared to traditional methods.
3. Policy & Implementation
Q: How can a country become a "Lighthouse Country"?
A Lighthouse Country is a nation that achieves a Progress Score of 90 or above in a specific category. These nations are invited by the FAO to share their legislative frameworks and technical "blueprints" with other member states through the FAO South-South and Triangular Cooperation program.
Q: Why is "Dietary Diversity" included as a critical indicator?
Recent SOFI reports have shifted focus from just "filling bellies" to the cost and affordability of a healthy diet. Indicators for women (193) and children (161) track whether populations have access to diverse food groups, which is a better predictor of long-term health than calorie counts alone.
4. Publication & Access
Q: When is the raw data for these indicators updated?
While the flagship SOFI report is annual (July), the raw datasets are updated continuously via FAOSTAT. Major revisions to global hunger numbers typically occur every quarter as new national household surveys are processed.
Q: Is the SOFI report legally binding for UN Member States?
No. However, it serves as the official monitoring tool for SDG 2. High-scoring countries often receive preferential access to green financing and agrifood investment, while low-scoring areas are prioritized for technical assistance and emergency humanitarian funding.
Glossary of Key Terms: SOFI 2026 Framework
To ensure clarity across the 260+ indicators, the following glossary defines the technical terminology and metrics used by the FAO and its partner organizations in the State of Food Security and Nutrition in the World reporting cycle.
| Term | Definition | Context/Application |
| PoU (Prevalence of Undernourishment) | An estimate of the proportion of the population whose habitual food consumption is insufficient to provide the dietary energy levels required to maintain a normal, active, and healthy life. | The primary global "hunger" metric for SDG 2.1.1. |
| FIES (Food Insecurity Experience Scale) | A experience-based metric measuring the severity of food insecurity based on people's direct responses to questions regarding their access to food. | Used to track "Moderate" vs. "Severe" food insecurity (SDG 2.1.2). |
| Four Betters | The strategic pillars of the FAO: Better Production, Better Nutrition, Better Environment, and Better Life. | The organizing framework for all 2026 strategic indicators. |
| Bioeconomy | An economy where the basic building blocks for materials, chemicals, and energy are derived from renewable biological resources, such as plant and animal marine resources. | Key to indicators 144, 166, and 183 regarding sustainable feedstock. |
| One Health | An integrated, unifying approach that aims to sustainably balance and optimize the health of people, animals, and ecosystems. | Applied in indicator 160 and 200 for zoonotic disease surveillance. |
| Nutrient Density | The amount of essential nutrients (vitamins, minerals, protein) relative to the calorie content of a food item. | Central to indicators 161 and 253 regarding healthy diets. |
| Blue Transformation | A targeted strategy to maximize the contribution of aquatic food systems to food security and nutrition while preserving ecosystem health. | Applied in indicators 151, 184, and 202–205. |
| Agroecology | A holistic approach that simultaneously applies ecological and social concepts to the design and management of food and agricultural systems. | Measured through indicators like 223 (Agro-ecological zoning). |
| Food Loss vs. Food Waste | Loss occurs from harvest up to (but not including) the retail level; Waste occurs at the retail, food service, and consumer levels. | Tracked separately in indicators 172 (Waste) and 188 (Loss). |
| Smallholder | Farmers, pastoralists, or fishers who manage small areas of land or small-scale aquatic operations, typically relying on family labor. | The focus of "Better Life" indicators such as 154, 168, and 222. |
| Nowcasting | The use of high-frequency data (satellite, mobile, AI) to provide current-period estimates of indicators before traditional survey data is available. | Used for real-time price monitoring (155) and yield forecasting (213). |
| Lighthouse Country | A nation identified as a global leader in a specific indicator (scoring 90+), serving as a model for policy replication. | Used to categorize the "Leading Country" in each indicator table. |

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