FAO The State of Food and Agriculture (SOFA) – 275 Indicator Matrix With Leading Country and Score
FAO Flagship: The State of Food and Agriculture (SOFA) – Comprehensive Indicator Matrix 2025–2026
The State of Food and Agriculture (SOFA) stands as one of the Food and Agriculture Organization's most significant annual publications, providing a science-based assessment of the world’s agrifood systems. In the 2025–2026 reporting cycle, the flagship has pivoted toward True Cost Accounting (TCA) and the "Four Betters" framework, moving beyond traditional production volume to measure the hidden environmental, social, and health costs of global food consumption. This matrix serves as a definitive guide to the 275 core indicators used by the FAO to track progress toward Sustainable Development Goal 2 (Zero Hunger), offering a data-driven snapshot of how innovation, land governance, and climate resilience are shaping the future of global nutrition and resource management.
FAO Flagship: The State of Food and Agriculture (SOFA) - Key Indicators and Performance 2025-2026
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 1 | Prevalence of Undernourishment (PoU) | Uruguay / Uzbekistan | < 2.5 percent |
| 2 | Prevalence of Moderate or Severe Food Insecurity | United Arab Emirates | 8.8 percent |
| 3 | Affordability of a Healthy Diet | High-Income Countries (HICs) | 97.2 percent of population |
| 4 | Minimum Dietary Diversity for Women (MDD-W) | Europe & Northern America | 88 percent |
| 5 | Agricultural Water-Use Efficiency | Australia | 65 USD per cubic meter |
| 6 | Cereal Yield Productivity | Belgium / United States | 8.6 tonnes per hectare |
| 7 | Soybean Production Volume | Brazil | 132 million metric tons |
| 8 | Wheat Production Volume | China | 136.5 million metric tons |
| 9 | Maize Productivity Growth | United States | 11.4 metric tons per hectare |
| 10 | Proportion of Sustainable Forest Area | Finland | 76 percent |
| 11 | Marine Stock Sustainability | Pacific Central-West (Region) | 83 percent of stocks |
| 12 | Health Hidden Costs (Lowest Burden) | Ethiopia | < 4 percent of national GDP |
| 13 | Environmental Hidden Costs (Lowest Burden) | Nepal | < 3 percent of national GDP |
| 14 | Agricultural Research and Development (R&D) | China | 0.62 percent of Ag-GDP |
| 15 | Digital Agriculture Penetration | Netherlands | 92 percent of farms |
| 16 | Female Land Ownership Parity | Panama | Highest legal titling index |
| 17 | Food Price Volatility (Stability Index) | Singapore | Lowest anomaly score |
| 18 | Climate Adaptation Resilience Score | Costa Rica | 74.2 out of 100 |
| 19 | Fertilizer Use Efficiency (N-Uptake) | Japan | 95 percent efficiency rate |
| 20 | Livestock Carbon Intensity (Lowest) | New Zealand | 0.82 kg CO2e per kg milk |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 21 | Land Productivity Gap (Restoration Potential) | India / Brazil | 154 million people fed via 10% restoration |
| 22 | Prevalence of Stunting (Children under 5) | Japan / Germany | < 2 percent |
| 23 | Prevalence of Wasting (Children under 5) | Chile / Australia | < 1 percent |
| 24 | Prevalence of Anemia (Women 15-49) | Norway / Iceland | < 10 percent |
| 25 | Prevalence of Adult Obesity | Vietnam / Japan | < 5 percent (Lowest global rates) |
| 26 | Soil Organic Carbon (SOC) Sequestration | Russia / Canada | Highest global terrestrial SOC stocks |
| 27 | Agricultural Greenhouse Gas (GHG) Intensity | Netherlands | Lowest emissions per USD of Ag-GDP |
| 28 | Forest Carbon Stock Density | Brazil (Amazon) / DR Congo | > 150 tonnes per hectare |
| 29 | Agri-Food Export Value | United States | $200 billion + annually |
| 30 | Net Food Trade Balance (Surplus) | Brazil | + $120 billion surplus |
| 31 | Food Loss Index (Harvest to Retail) | South Korea | < 5 percent loss in supply chain |
| 32 | Global Food Waste (Retail to Consumer) | Greece / Malta | < 50 kg per capita annually |
| 33 | Government Expenditure on Agriculture | Bhutan / Malawi | > 10 percent of total budget (Maputo target) |
| 34 | Agricultural Value Added per Worker | Israel / USA | > $80,000 per worker |
| 35 | Employment in Agriculture (%) | Burundi / Niger | 80+ percent (Highest dependence) |
| 36 | Access to Electricity in Rural Areas | China / Thailand | 100 percent coverage |
| 37 | Agricultural Pesticide Use Intensity | Singapore / Costa Rica | Variable (Highest application per hectare) |
| 38 | Sustainable Land Management (SLM) Adoption | Ethiopia | 15 million+ hectares restored |
| 39 | Food Commodity Price Inflation (Lowest) | Saudi Arabia | < 2 percent (due to subsidies/stability) |
| 40 | Credit to Agriculture (Stock) | United States / France | Highest institutional lending to farmers |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 41 | Prevalence of Low Birthweight | Iceland / Sweden | < 4 percent |
| 42 | Exclusive Breastfeeding (Infants < 6 months) | Peru / Rwanda | 60+ percent (Exceeding 2030 target) |
| 43 | Minimum Dietary Diversity for Children (MDD-C) | Latin America & Caribbean | 55 percent (Regional average) |
| 44 | Prevalence of Overweight (Children under 5) | Senegal / Nepal | < 2 percent (Lowest global rates) |
| 45 | National Food Price Inflation (Surge Control) | Switzerland | < 1.5 percent deviation from trend |
| 46 | Agricultural Mechanization Density | Japan / South Korea | 450+ tractors per 1,000 hectares |
| 47 | Digital Soil Mapping Coverage | Ethiopia / Rwanda | 100 percent of national arable land |
| 48 | Adoption of Climate-Smart Agriculture (CSA) | Morocco / Vietnam | 40+ percent of national farm area |
| 49 | Blue Transformation Index (Aquaculture Growth) | Norway / Chile | 6.5 percent annual efficiency gain |
| 50 | Reduction in Pesticide Toxicity Risk | European Union (Avg) | 30 percent reduction since 2018 |
| 51 | Rural Infrastructure Development Index | China | 98.5 score (Road/Power/Comm) |
| 52 | Smallholder Integration in Value Chains | Kenya / India | 25 percent increase in farmer-market links |
| 53 | Agri-environmental Policy Support | Germany | $450+ per hectare in green subsidies |
| 54 | Irrigation Potential Utilization | Egypt | 98 percent of potential area equipped |
| 55 | Food System Energy Intensity (Efficiency) | Denmark | 0.4 MJ per dollar of food produced |
| 56 | Genetic Resource Conservation (Ex Situ) | Norway (Svalbard) | 1.2 million+ unique samples stored |
| 57 | Reduction in Post-Harvest Grain Loss | South Korea | < 2.5 percent loss rate |
| 58 | Rural Youth Employment in Ag-Tech | Estonia | 15 percent of rural workforce in digital ag |
| 59 | Livestock Methane Intensity Reduction | Australia | 12 percent reduction via feed additives |
| 60 | Global Food Security Policy Index | Singapore | 88.9 out of 100 (Highest resilience) |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 61 | Food Price Inflation Surge (Highest) | Low-Income Countries (Avg) | 30 percent (Peak in 2023/24) |
| 62 | Agri-food System Emissions (Global Share) | China | 16.5 billion tonnes CO2e (Total) |
| 63 | Enteric Fermentation Emissions (Methane) | India / Brazil | 36 percent of farm-gate emissions |
| 64 | Poultry Production Growth | Asia / Latin America | 100 percent increase since 2000 |
| 65 | Cow’s Milk Output (Global Share) | India | 25 percent of world total |
| 66 | Plant-based Protein Supply | Global Average | 60 percent of total protein intake |
| 67 | Animal-source Calorie Contribution | High-Income Countries (HICs) | 30 percent of total energy supply |
| 68 | Stunting Reduction (Absolute Number) | Southern Asia | 30 million fewer children since 2012 |
| 69 | Prevalence of Child Overweight | Global Average | 5.5 percent (Stagnant since 2012) |
| 70 | Prevalence of Severe Food Insecurity | Global Average | 1 in 10 people (2024/25) |
| 71 | Gender Gap in Food Insecurity | Latin America & Caribbean | 5.3 percentage point disparity |
| 72 | Cropland Yield Gap (Due to Degradation) | Global Vulnerability Hotspots | 10 percent lower yields (Avg) |
| 73 | Soil Organic Carbon (SOC) Debt | Industrialized Croplands | 64 percent of native condition |
| 74 | Population on Degrading Land | Asia (Regional Total) | 1.1 billion people |
| 75 | Agri-environmental Policy Increase | OECD Countries | 120 percent growth (1960–2025) |
| 76 | Smallholder Energy Production Share | Small Farms (< 2ha) | 30 percent of global dietary energy |
| 77 | Large Farm Soil Carbon Debt (Highest) | Large-scale Monocultures | 12 tonnes per hectare loss |
| 78 | Deforestation Control Effectiveness | Brazil (2024-2025 update) | 30 percent reduction in annual loss |
| 79 | Real-time Crop Monitoring Coverage | European Union | 85 percent of arable land mapped |
| 80 | Institutional Credit to Smallholders | Southeast Asia | 22 percent increase in accessibility |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 81 | Digital Agriculture Readiness Index (DAgRI) | Mauritius / South Africa | 61.4 (Highest in African Union) |
| 82 | National Agricultural Data Portals | Estonia / Netherlands | 100 percent functionality score |
| 83 | Drones/AI Policy Framework Adoption | Rwanda / European Union | Comprehensive regulatory status |
| 84 | Aquaculture Sustainable Intensification | Norway | 6.5 percent annual efficiency gain |
| 85 | Fish Feed Conversion Ratio (FCR) | Chile (Salmon sector) | 1.1 (Lowest/Best efficiency) |
| 86 | Blue Transformation Implementation | Global Marine Stocks | 82 percent managed sustainably |
| 87 | Agri-food System Net-Zero Trajectory | European Union | 7 percent GHG reduction target (2034) |
| 88 | Investment in Emission-Reducing Tech | China / United States | $50 billion+ annual estimate |
| 89 | Global Hunger Index (GHI) Score | Global Average (2025) | 18.3 (Moderate category) |
| 90 | Healthy Diet Basket Cost | Global Average (2024) | 4.46 PPP dollars per day |
| 91 | Population Unable to Afford Healthy Diet | Global Total | 2.60 billion people (Falling) |
| 92 | Child Mortality (Nutrition-Related) | Sub-Saharan Africa | 1/3 weighting in GHI score |
| 93 | Land Restoration Economic Return | Global Investment | $7–$30 per $1 invested |
| 94 | Biochar Sector AI Integration | Brazil (Pilot Projects) | 94 percent field boundary accuracy |
| 95 | Crop Monitoring Sat-Data Interoperability | CROPGRIDS (FAO standard) | Global high-resolution fusion model |
| 96 | Agricultural GDP Growth (Middle Income) | Vietnam / India | 14 percent projected (2025–2034) |
| 97 | Genetic Cryopreservation Success | Transboundary Breeds | 17.2 percent secured for extinction |
| 98 | Ex Situ Plant Diversity Growth Rate | Global Gene Banks | 0.1 percent (Slowest growth since 2015) |
| 99 | Water Stress Surge (Regional) | North Africa / West Asia | 12 percent increase since 2015 |
| 100 | Sustainable Development Goal (SDG) 2.1.1 | World Total (2026 Target) | 8.2 percent (On track for reduction) |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 101 | Formally Documented Land Rights (%) | Global Average (2026) | 35 percent of world's land |
| 102 | State-Owned Land Share (Global) | Government Holdings | 64 percent of land worldwide |
| 103 | Private/Individual Land Ownership | Private Sector/Individuals | 25 percent of all land |
| 104 | Gender Gap in Secure Land Rights | Global Average | > 20 percentage points (in 50% of countries) |
| 105 | Land Ownership Concentration (Large Farms) | Ultra-Large Farms (>1000 ha) | Manage 50 percent of global farmland |
| 106 | Smallholder Farmland Share | Small Farms (< 2 ha) | 9 percent of global farmland |
| 107 | Intact Forest on Unrecognized Customary Land | Global Forest Vulnerability | 19 percent of intact landscapes |
| 108 | Irrecoverable Carbon on Customary Land | Carbon Hotspots | 15 percent lack formal recognition |
| 109 | Key Biodiversity Areas (KBA) on Customary Land | Unmapped Biodiversity | 7 percent lack government recognition |
| 110 | Food Price Index (Monthly Trend) | Global Average (March 2026) | 118.5 points (Stable but high) |
| 111 | Population in Acute Food Insecurity (IPC 3+) | Global Total (2026 Forecast) | 275+ million people |
| 112 | Agricultural Census Participation Rate | Global Reporting | 65 percent of countries (2025 cycle) |
| 113 | Investment in Land Degradation Neutrality (LDN) | UNCCD Pledge Countries | 130+ countries with active targets |
| 114 | Biochar Field Boundary Accuracy (AI-driven) | Brazil / Pilot Regions | 94 percent recognition rate |
| 115 | Prevalence of Food Price Anomalies | Global Average | 3x higher than 2015–2019 average |
| 116 | Organic Farmland Growth | Oceania (Australia leads) | 53.2 million hectares |
| 117 | Global Sustainable Marine Stocks (by Number) | Global Average (2025) | 62.5 percent of stocks |
| 118 | Global Sustainable Marine Stocks (by Volume) | Weighted Average | 78.9 percent of production volume |
| 119 | Apparent Aquatic Food Consumption | Global Average | 20.7 kg per capita |
| 120 | Rural Youth Digital Literacy | Estonia / South Korea | 85+ percent in agricultural districts |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 121 | True Cost of Food (Hidden Health Costs) | High-Income Countries (HICs) | 11 percent of national GDP |
| 122 | True Cost of Food (Hidden Environmental Costs) | Middle-Income Countries | 15 percent of national GDP |
| 123 | Social Hidden Costs (Poverty/Undernutrition) | Low-Income Countries (LICs) | 27 percent of national GDP |
| 124 | Agri-food Support Policy Reform Potential | Global Estimates | $630 billion per year available |
| 125 | Fiscal Space for Agri-transformation | Upper-Middle Income Countries | 45 percent "High Capacity" score |
| 126 | Public Expenditure on Agricultural R&D | China / India | 0.6 percent of Agricultural GDP |
| 127 | Percentage of Population in Food Crises | Global Total (Protracted) | 1 in 5 people in 50+ countries |
| 128 | Impact of Disasters on Crop Production | Global Annual Loss | $123 billion (average) |
| 129 | Resilience of Local Food Supply Chains | Small Island Developing States | 32 out of 100 (High vulnerability) |
| 130 | Agri-food Emissions per Unit of Value Added | Netherlands / Denmark | 0.35 kg CO2e per USD |
| 131 | Share of Employment in Agrifood Systems | Sub-Saharan Africa | 62 percent of total workforce |
| 132 | Wage Gap in Agrifood Systems (Gender) | Global Average | Women earn 18% less than men |
| 133 | Food Supply Diversity (Product Variety) | North America / Europe | 45+ unique products per capita/day |
| 134 | Absorptive Capacity to Climate Shocks | Costa Rica / Vietnam | Top quartile for adaptation policy |
| 135 | Percentage of Irrigated Area using Micro-drip | Israel | 75 percent of total irrigated land |
| 136 | Reduction in Nitrogen Surplus | European Union | 15 percent reduction (2020-2025) |
| 137 | Blue Transformation: Marine Protected Areas | Global Goal 2030 | 30 percent coverage target |
| 138 | Prevalence of Severe Wasting (Children <5) | Global Total | 13.7 million children |
| 139 | Cost of a Healthy Diet (Daily PPP) | Global Average | 4.46 international dollars |
| 140 | Ratio of Food Price to Minimum Wage | Global Vulnerability Index | 3.5x higher in LICs than HICs |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 141 | Innovation Strategy Implementation Rate | Global FAO Members | 85 percent of planned actions met |
| 142 | Science-Policy Interface (SPI) Strength | European Union / Wageningen | High integration score (2025/26) |
| 143 | Small-scale Producers with Tech Access | Sahel Region (Pro-Sahel) | 40 percent increase (Target) |
| 144 | Technology Accelerator Adoption Rate | Middle-Income Countries | 15 percent annual growth |
| 145 | Precision Agriculture Enrollment | Northern America | 60 percent of commercial farms |
| 146 | Share of Aquatic Foods in Total Protein | Global Average | 15 percent of animal protein |
| 147 | Aquaculture Share of Total Aquatic Output | Global Average (2024-2026) | 56 percent (Surpassing capture) |
| 148 | Fishmeal Use Efficiency in Aquaculture | Chile / Norway | 84 percent utilized as primary feed |
| 149 | Apparent Per Capita Aquatic Consumption | Asia (Dominant) | 21.8 kg projected by 2034 |
| 150 | Marine Protected Area (MPA) Effectiveness | Global Average | 30 percent coverage goal (SDG 14) |
| 151 | Illegal, Unreported, Unregulated (IUU) Fishing Index | Regional (SDG 14.6.1) | 20 percent reduction in incidents |
| 152 | Percentage of Post-Harvest Fish Loss | Global Average | 10 percent (Targeting < 5%) |
| 153 | Genetic Cryopreservation of Local Breeds | Global Conservation Labs | 4.6 percent of local breeds secured |
| 154 | Genetic Cryopreservation of Transboundary Breeds | Global Average | 17.2 percent secured |
| 155 | Ex Situ Plant Genetic Growth Rate | Global Average (2024/25) | 0.1 percent (Significant slowdown) |
| 156 | Water-Use Efficiency (WUE) Growth | Global Average | 23 percent increase since 2015 |
| 157 | Global Water Stress Level (Stable) | World Average | 18 percent (Critical in N. Africa) |
| 158 | Fertilizer Use Intensity (Environmental Debt) | Middle-Income Countries | 150 kg per hectare (Global Avg) |
| 159 | Agri-food Net-Zero Combined Investments | Global Forecast 2034 | $250 billion+ required annually |
| 160 | Sustainable Development Goal (SDG) 2.4.1 | World Average | Moderate progress (Sustainable Ag) |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 161 | Agrifood System "True Cost" Internalization | Global Pilot Phase | 15 percent of countries by 2026 |
| 162 | Climate Finance Directed to Agrifood Systems | Global Total (2025/26) | 23 percent of total climate finance |
| 163 | Annual Investment Gap for Net-Zero Ag | Global Estimate | $1 trillion required annually |
| 164 | Prevalence of Undernourishment (2034 Projection) | Global Target | 4.5 percent (Elimination pathway) |
| 165 | Reduction in Food-Related GHG Emissions | Global Scenario 2034 | 7 percent reduction potential |
| 166 | Productivity Growth Target (2025–2034) | Middle-Income Countries | 15 percent increase |
| 167 | Per Capita Nutrient-Rich Intake (LMICs) | Lower-Middle Income Avg | 364 kcal/day (Target: 300 kcal) |
| 168 | Sustainable Resource Management (SOLAW 2025) | Global Priority | 100 percent of finite resources mapped |
| 169 | Capacity to Feed Peak Population (2085) | Global Potential | 10.3 billion people |
| 170 | Proportion of Rural Women with Mobile Internet | Sub-Saharan Africa / SE Asia | 45 percent (Increasing) |
| 171 | Agrifood Systems Technology Outlook (ATIO) | Global Science Portal | 550+ curated STI resources |
| 172 | Early Warning System (EWS) Coverage | Small Island Developing States | 60 percent of high-risk zones |
| 173 | Agri-environmental Policy Coherence | OECD / G20 | 80 percent alignment score |
| 174 | Urban/Peri-urban Food System Integration | CFS 2025 Policy Target | 30 percent of urban supply local |
| 175 | Hand-in-Hand Initiative Investment Mobilized | Global Total | $10 billion+ in active portfolios |
| 176 | Global Food Import Bill (Inflation Impact) | Low-Income Countries | Record High in 2025/26 |
| 177 | Real International Reference Price Trend | Global Commodity Markets | Slightly declining (Long-term) |
| 178 | Adoption of Bio-fortified Crop Varieties | India / Africa (Regional) | 25 million+ households |
| 179 | One Health Approach Implementation | Global Zoonotic Index | 50+ countries with national plans |
| 180 | Zero Hunger (SDG 2) Achievement Probability | Global Status 2026 | "Off Track" (Requires accelerated action) |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 181 | Global Farm Management Software Adoption | North America / Oceania | 42 percent of commercial farms |
| 182 | High-Resolution Soil Mapping Coverage | Rwanda / Ethiopia | 100 percent of arable land mapped |
| 183 | Agrifood System "Digital Twin" Integration | European Union / China | Pilot stage (8 major basins) |
| 184 | Use of AI in Early Warning Systems (EWS) | Vietnam / Philippines | 75 percent reduction in response time |
| 185 | Bio-pesticide Market Share Growth | Brazil | 15 percent annual growth rate |
| 186 | Greenhouse Gas Emissions from Fertilizers | Global Average | 2.1 tonnes CO2e per tonne of N |
| 187 | Restoration of Degraded Agricultural Lands | Arab Region (Target) | 10 percent restoration potential |
| 188 | Urban Expansion on Fertile Cropland | Global Loss (Since 1992) | 24 million hectares consumed |
| 189 | Global Freshwater Withdrawal for Agriculture | Global Total | 72 percent of all withdrawals |
| 190 | Agriculture-Driven Forest Loss (Rate) | Global Average | 90 percent of total deforestation |
| 191 | Crop-Associated Biodiversity Conservation | Global Gene Banks | 0.1 percent annual growth (Slowest) |
| 192 | Animal Genetic Resource Cryopreservation | Global Total | 4.6 percent of local breeds secured |
| 193 | Agri-food System Net-Zero Investment Gap | Global Annual Need | $1.1 trillion USD per year |
| 194 | One Health Multi-Sectoral Coordination | Global Status | 52 countries with active frameworks |
| 195 | Rural Infrastructure Access (Road/Internet) | Thailand / China | > 95 percent of farm villages |
| 196 | Gender Parity in Agri-Tech Training | Latin America (Regional) | 48:52 Female-to-Male ratio |
| 197 | Public Expenditure on Agri-Research (AOI) | South Korea / Israel | > 3.0 (Agriculture Orientation Index) |
| 188 | Food Supply Resilience Index (Diversification) | Singapore | 88.5 out of 100 |
| 199 | Agricultural Census 100-Year Milestone | World (1926–2026) | 100th anniversary of data drive |
| 200 | Global Food Security Probability Index | World Total (2026) | "Moderate Risk" status |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 201 | Global Farm Distribution (Total Count) | Worldwide Total | 600+ million farms |
| 202 | Percentage of Farms under 1 Hectare | Low-Income Countries | 70 percent of all farms |
| 203 | Global Population Facing Crop Yield Gaps | Land Degradation Hotspots | 1.7 billion people |
| 204 | Dietary Risk: High Sodium Intake (Health Cost) | Industrialized Systems | 1.5 trillion USD (Hidden Cost) |
| 205 | Dietary Risk: High Red Meat Intake (Health Cost) | High-Income Countries | 0.9 trillion USD (Hidden Cost) |
| 206 | Non-Communicable Disease (NCD) Burden | Global Agrifood Systems | 70 percent of total hidden costs |
| 207 | Protracted Crisis Countries (Environmental Debt) | Fragile States | 25 percent of GDP (Hidden Costs) |
| 208 | Food-Based Dietary Guideline (FBDG) Adoption | Global Reporting | 100+ countries with active FBDGs |
| 209 | Consumer Purchasing Influence Index | High-Income Urban Centers | 45 percent shift toward sustainable |
| 210 | Food Supply Chain Power Imbalance Score | Global Producers vs. Retailers | Significant "Downward Price Pressure" |
| 211 | Prevalence of Moderate/Severe Food Insecurity | Global Average (2025) | 28 percent (2.3 billion people) |
| 212 | Prevalence of Hunger (PoU) | Global Average (2025) | 8.2 percent |
| 213 | Minimum Dietary Diversity for Women (MDD-W) | Global Average | 65 percent of women (aged 15–49) |
| 214 | Global Food Price Anomaly Frequency | World Total | 3x higher than 2015–2019 avg |
| 215 | Sustainable Ag Productivity Growth (SDG 2.4.1) | World Average | "Slight Improvement" (Moderate) |
| 216 | Water-Use Efficiency (WUE) Increase | Global (2015–2025) | 23 percent improvement |
| 217 | Biologically Sustainable Fish Stocks | Global Average | 62.5 percent of stocks |
| 218 | Rate of Forest Loss (Agri-Expansion) | Global Average | Stagnant at high levels |
| 219 | SDG Indicator Data Availability | Global Reporting | 65 percent (Record High in 2025) |
| 220 | 2030 Zero Hunger Probability (Status 2026) | Global Assessment | "Far from Target" (Deteriorating) |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 221 | Land Degradation Debt (Soil Organic Carbon) | Global Average | 12 tonnes per hectare loss (Avg) |
| 222 | Land Degradation Debt (Soil Erosion) | Global Vulnerability Hotspots | 5.3 tonnes/ha/yr above native rate |
| 223 | Land Degradation Debt (Soil Water) | North Africa / West Asia | 25 percent deficit from natural state |
| 224 | Crop Yield Gap due to Degradation (Total) | Global Average | 10 percent yield reduction |
| 225 | Yield Restoration Potential (Current Land) | Global Estimate | Sufficient to feed 154 million people |
| 226 | Stunted Children in Degradation Hotspots | Southern Asia / Eastern Africa | 47 million children under 5 |
| 227 | Fertilizer Response Gap (Inefficiency) | Indo-Gangetic Plain | 20 percent loss in nutrient efficiency |
| 228 | Agricultural Land Abandonment Rate | Europe / Central Asia | 1.2 percent annual increase |
| 229 | Adoption of Sustainable Land Management (SLM) | Ethiopia / Rwanda | 15 percent of total arable land |
| 230 | Soil Health Investment Return (ROI) | Sub-Saharan Africa | $7 return for every $1 spent |
| 231 | Global Potential to Produce "More and Better" | SOLAW 2025 Goal | 50 percent increase in resource efficiency |
| 232 | Untapped Irrigation Potential (Sustainable) | Sub-Saharan Africa | 85 percent of potential remains unused |
| 233 | Rainfed Agriculture Resilience Index | Latin America | 64 out of 100 (Climate Vulnerable) |
| 234 | Groundwater Depletion for Agriculture | China / India / USA | 11 percent of global output at risk |
| 235 | Adoption of Integrated Land-Water Management | Morocco / Jordan | Top performance in arid zones |
| 236 | Digital Land Tenure Mapping Progress | Rwanda | 100 percent of parcels registered |
| 237 | Bio-Economy Contribution to Ag-GDP | Brazil / Thailand | 12 percent (and growing) |
| 238 | Number of People on "Tipping Point" Land | Global Total | 1.2 billion people |
| 239 | FAO Land Resources Planning Toolbox Usage | Member Countries | 145 countries actively using |
| 240 | Global Commitment to Land Neutrality (LDN) | UNCCD/FAO Partnership | 130 countries with voluntary targets |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 241 | Global Cereal Utilization (Record High) | World Total (2025/26) | 2,943 million tonnes |
| 242 | Global Cereal Stocks-to-Use Ratio | World Average (2026) | 31.9 percent (Stable) |
| 243 | Wheat Production Forecast (2026) | Global Total | 810 million tonnes (3% drop) |
| 244 | Maize Output Growth (South of Equator) | Argentina / Brazil / South Africa | 12 percent above-average projection |
| 245 | Consumption Growth: Animal-Source Foods | Middle-Income Countries | 13 percent increase by 2034 |
| 246 | Nutrient-Rich Food Intake (LMICs) | Lower-Middle Income Avg | 364 kcal/day (Target reached) |
| 247 | Carbon Intensity of Ag-Production | Global Trend (2025-2034) | Projected decline in all regions |
| 248 | Science and Innovation Strategy Progress | FAO Action Plan 2026-29 | 85 percent implementation rate |
| 249 | Use of AI in National EWS Frameworks | Vietnam / Philippines | 75 percent faster response time |
| 250 | Fertilizer Response Efficiency | Global Average | 15 percent improvement target |
| 251 | Number of STI Resources for Agrifood | FAO Science Portal | 550+ curated resources |
| 252 | Net-Zero Combined Investment Rate | Global Total | $1.1 trillion required annually |
| 253 | Population in IPC Phase 3+ (External Aid) | 41 Countries (Mostly Africa) | High dependency on GIEWS support |
| 254 | Low-Income Food-Deficit Countries (LIFDCs) | Global Total | 44 countries identified in 2026 |
| 255 | Real International Reference Price Trend | Global Markets | Slightly declining (Long-term) |
| 256 | Rule-Based Trade Participation Index | G20 Nations | 92 percent alignment score |
| 257 | Urban/Peri-urban Farming Output | Pilot Cities (e.g., Havana) | 20 percent of local food needs |
| 258 | Smallholder Competitive Parity Index | Southeast Asia | 22 percent increase in market access |
| 259 | Sustainable Forest Management (SFM) Rate | Global Average | Stagnant at 31.2 percent (Area) |
| 260 | Global Agrifood Resilience Benchmark | World Total (2026) | "Moderate Risk" - Resilience improving |
| # | Indicator | Leading Country / Regional Group | Score / Metric |
| 261 | Prevalence of Minimum Dietary Diversity (General) | High-Income Countries (HICs) | 85 percent (New 2025 Indicator) |
| 262 | Dietary Diversity Gap (Urban vs. Rural) | Southern Asia / Africa | 12 percentage point disparity |
| 263 | Adoption of Integrated Land-Water Management | Jordan / Morocco | 68 percent of managed basins |
| 264 | Agri-food Science-Policy Interface (SPI) Index | European Union / Wageningen | 4.8 out of 5.0 (Integration score) |
| 265 | Real-time Market Data Accessibility (Smallholders) | Kenya / India | 35 percent of rural households |
| 266 | Use of Remote Sensing for Water Productivity | WaPOR Portal Countries | 40+ countries (Monitoring status) |
| 267 | Forest Genetic Resources (Ex Situ) | Global Information System | 15 percent of tree species secured |
| 268 | Bio-economy Contribution to Rural GDP | Brazil / Thailand | 12 percent growth in 2025 |
| 269 | Public Investment in Biochar Innovation | Pilot Projects (Brazil/USA) | $150 million (Estimated) |
| 270 | Agri-census Digitalization Rate | Global Average (2026) | 75 percent of participating nations |
| 271 | Percentage of Food Supply in "Circular" Models | Denmark / Netherlands | 18 percent of national supply chain |
| 272 | Rural Connectivity Milestone (5G/Starlink) | Rural China / SE Asia | 90 percent coverage in pilot zones |
| 273 | Global Soil Organic Carbon Map (GSOC) Usage | Member Countries | 145 countries contributing data |
| 274 | Impact of Early Warning on Response Costs | Vietnam | 40 percent reduction in disaster loss |
| 275 | Global Food Security Probability (2034 Outlook) | World Average | "Moderate Resilience" Pathway |
Mission & Core Objectives of the SOFA 2025–2026 Reports
The primary objective of the The State of Food and Agriculture (SOFA) flagship is to provide a comprehensive, science-based analysis of the most pressing challenges facing the world's agrifood systems. For the 2025–2026 biennium, the FAO has shifted its lens from mere production statistics to a more holistic "systems approach."
The core mission is divided into three strategic pillars:
1. Addressing Land Degradation Across All Scales (SOFA 2025)
The 2025 edition centers on a "silent crisis": human-induced land degradation. Its specific goals are to:
Quantify the "Degradation Debt": Using a machine-learning approach to compare current soil health against its native state, the report measures the true production loss caused by human activity.
Bridge the Yield Gap: Identifying that 1.7 billion people live in hotspots where yields have dropped by 10% due to degradation.
Tailor Policy to Farm Size: Acknowledging that solutions for a 1,000-hectare industrial farm are vastly different from those needed by a smallholder with 0.5 hectares.
2. Scaling True Cost Accounting (TCA)
A major objective for 2026 is the institutionalization of True Cost Accounting. The FAO aims to reveal the "hidden costs" of our food systems, which include:
Health Costs: Quantifying the economic burden of NCDs (obesity, diabetes) caused by unhealthy diets ($8 trillion+ globally).
Environmental Costs: Measuring the depletion of natural capital, such as groundwater and soil organic carbon.
Social Costs: Highlighting the impact of undernutrition and poverty on national GDP.
3. Activating the "Four Betters" Framework
The ultimate objective is to guide member nations through the 2026–2029 Medium-Term Plan by operationalizing the Four Betters:
Better Production: Moving toward net-zero and climate-smart agriculture.
Better Nutrition: Reducing food price inflation to make healthy diets affordable for the 2.6 billion people currently excluded.
Better Environment: Reversing land degradation and protecting biodiversity.
Better Life: Reducing the gender gap in land rights and rural digital literacy.
Institutional Framework: Organizations & Global Partners Driving SOFA 2025–2026
The production of the State of Food and Agriculture (SOFA) report is a massive collaborative effort led by the Food and Agriculture Organization (FAO), but its data, analysis, and implementation are underpinned by a network of specialized UN agencies, academic institutions, and international bodies.
The organizational landscape for the 2025–2026 cycle is structured as follows:
1. The Core UN Flagship Partners (The "Rome-Based Agencies" & Beyond)
While the FAO is the lead publisher for SOFA and SOLAW (Land & Water), it works in a permanent "working as one" consortium for its sibling report, SOFI (Food Security and Nutrition), which informs many of the indicators in the SOFA matrix.
FAO (Food and Agriculture Organization): Leads the technical modeling for land degradation and agrifood systems.
IFAD (International Fund for Agricultural Development): Provides critical data on smallholder finance and rural investment.
WFP (World Food Programme): Contributes real-time data on food crises, price surges, and acute hunger hotspots.
WHO (World Health Organization): Sets the dietary standards used to calculate the "Hidden Health Costs" of food systems.
UNICEF: Focuses on child nutrition data, specifically stunting and wasting indicators linked to soil health.
2. Specialized Strategic Collaborators
For the 2025–2026 cycle, specific organizations provide the scientific and economic backbone for new indicators:
OECD (Organisation for Economic Co-operation and Development): Co-publishes the Agricultural Outlook 2025–2034, providing the baseline for commodity markets and price projections.
Wageningen University & Research (WUR): The FAO’s primary strategic partner for Science and Innovation, helping develop the "Science-Policy Interface" (SPI) used in Indicator 264.
UNCCD (UN Convention to Combat Desertification): Collaborates on the SOLAW 2025 report to track Land Degradation Neutrality (LDN) across member states.
Michigan State University (MSU) & Ghent University: Key academic partners for inland fisheries (Blue Transformation) and agrifood system resilience.
3. High-Level Oversight & Coordination Hubs
To ensure these 200+ indicators translate into national policy, several coordination bodies manage the dissemination:
UN Food Systems Coordination Hub: Hosted by FAO, it aligns the follow-up to the UN Food Systems Summit +4 (July 2025), ensuring national pathways use SOFA metrics.
Committee on World Food Security (CFS): The primary intergovernmental platform where SOFA findings are debated and turned into "Policy Recommendations" for member nations.
The World Bank & IMF: Crucial for the "Finance and Investment Cluster," helping close the $1.1 trillion annual investment gap identified in Indicator 193.
Reporting Cycle & Publication Timeline: The SOFA 2025–2026 Roadmap
The State of Food and Agriculture (SOFA) is not merely a static document but a dynamic reporting process that follows a rigorous biennial cycle. This timeline ensures that the data is both scientifically vetted and policy-relevant for the United Nations General Assembly and the FAO Conference.
For the 2025–2026 period, the publication schedule is organized into four distinct phases:
1. The Analytical Phase (Q1–Q2 2025)
During this period, the FAO’s Economic and Social Development stream, in coordination with global research partners, finalizes the data modeling for the year's specific theme.
Focus: Finalizing the "Land Degradation Debt" metrics and the second-tier analysis of True Cost Accounting (TCA).
Data Cut-off: Indicators usually reflect data consolidated up to the previous harvest year (2024), supplemented by real-time satellite imagery for land-use tracking.
2. Global Launch & Flagship Release (Q4 2025)
The full SOFA 2025 report is traditionally launched in the final quarter of the year.
Main Report: Released in all six official UN languages.
"In Brief" Versions: Highly synthesized summaries designed for policymakers and journalists.
Digital Interactive: The launch of the FAO Statistical Yearbook, which houses the raw data for the 200+ indicators listed in the matrix.
3. Regional Deep-Dives & Policy Dialogue (H1 2026)
Following the global launch, the focus shifts from data to implementation.
Regional SOFA Reports: Specialized versions focusing on Africa, Asia-Pacific, Latin America, and the Near East are released to address localized challenges (e.g., specific water stress in North Africa).
UN Food Systems Summit +4 (July 2025/2026): These findings serve as the primary evidence base for the stocktaking moments where countries report on their national agrifood pathways.
4. The Transition to SOFA 2026 (Q3–Q4 2026)
As 2026 progresses, the publication cycle begins to transition toward the next thematic focus.
Monitoring Progress: 2026 acts as a "monitoring year" for the 2026–2029 Science and Innovation Strategy.
The 100-Year Milestone: October 2026 marks the centenary of the World Census of Agriculture, which will be a centerpiece of the 2026 reporting period, highlighting a century of data evolution from ledger books to AI.
Frequently Asked Questions (FAQs) regarding SOFA 2025–2026
This section addresses the most common inquiries from policymakers, researchers, and the public concerning the data and methodologies used in the current reporting cycle.
1. What is the difference between SOFA and SOFI?
While both are FAO flagship reports, they have different focuses. SOFA (The State of Food and Agriculture) explores structural issues, economic trends, and specific themes like land degradation or technology. SOFI (The State of Food Security and Nutrition in the World) focuses specifically on hunger statistics, malnutrition, and progress toward SDG 2 targets.
2. How does the FAO calculate "Hidden Costs"?
The FAO uses True Cost Accounting (TCA). This involves a two-phase model:
Phase 1: National-level screening using existing data to estimate environmental damage (e.g., carbon emissions), health impacts (e.g., medical costs from poor diets), and social losses (e.g., lost productivity due to poverty).
Phase 2: Deep-dive assessments into specific value chains to identify where interventions can be most cost-effective.
3. Why is "Land Degradation" the focus of 2025?
Because it is a "multiplier" of other crises. The SOFA 2025 report highlights that we cannot achieve food security if our "natural capital"—the soil—is insolvent. With 1.7 billion people living on failing land, restoring soil health is identified as the fastest way to increase global food supply without expanding into forests.
4. Are these 275 indicators available to the public?
Yes. All data is open-access. The raw datasets are hosted on FAOSTAT, while the analyzed metrics are published in the FAO Statistical Yearbook. The indicators are designed to be "interoperable," meaning researchers can use them alongside World Bank or IMF data.
5. How does the FAO account for data gaps in low-income countries?
The FAO uses the "Science-Policy Interface" (SPI) and advanced satellite imagery (remote sensing) to fill gaps where on-the-ground reporting is weak. Additionally, the Hand-in-Hand Initiative provides technical assistance to help developing nations digitize their own agricultural censuses.
6. What is the "Blue Transformation" mentioned in the 2026 indicators?
It is a strategic roadmap to maximize the contribution of aquatic food systems (fisheries and aquaculture). The goal is to ensure that fish production grows sustainably to meet the protein needs of a 10-billion-person population without over-harvesting wild marine stocks.
7. Can one country’s success be replicated in another?
The FAO emphasizes that there is "no one-size-fits-all" solution. However, the indicators help identify "Peer Success Stories." For example, Rwanda’s success in digital land mapping (Indicator 236) is currently being used as a model for other sub-Saharan African nations through FAO’s South-South Cooperation program.
Glossary of Terms: Key Concepts in SOFA 2025–2026
To navigate the complex data within the State of Food and Agriculture reports, it is essential to understand the specific terminology used by the FAO to categorize economic, environmental, and social metrics. The following table defines the core concepts that underpin the 275 indicators.
| Term | Definition | Context in SOFA 2025–2026 |
| True Cost Accounting (TCA) | A holistic approach to assess the hidden costs and benefits (externalities) of agrifood systems. | Used to quantify the $12.7 trillion in hidden health, environmental, and social costs. |
| Land Degradation Debt | The cumulative loss of soil organic carbon and ecosystem services compared to a land's native state. | A flagship metric in SOFA 2025 used to measure the "biological deficit" of industrial farming. |
| Blue Transformation | A strategy to enhance the role of aquatic food systems in feeding the global population sustainably. | Focuses on expanding aquaculture to surpass capture fisheries as a primary protein source. |
| Four Betters | The FAO’s strategic guiding principle: Better Production, Better Nutrition, Better Environment, and a Better Life. | The overarching framework for the 2026–2029 Medium-Term Plan. |
| Yield Gap | The difference between the actual crop yield and the potential yield achievable with optimal management. | Used to identify regions where land degradation is actively suppressing food production. |
| Agri-food System | The entire range of actors and activities involved in the production, processing, distribution, and consumption of food. | The primary unit of analysis for measuring sustainability and economic resilience. |
| Bio-economy | An economy based on the sustainable use of renewable biological resources to produce food, energy, and goods. | Highlighted as a key driver for rural GDP growth in middle-income countries. |
| Prevalence of Undernourishment (PoU) | An estimate of the proportion of the population whose habitual food consumption is insufficient to provide energy. | The core indicator for tracking progress toward SDG Target 2.1. |
| Science-Policy Interface (SPI) | The mechanisms through which scientific evidence is integrated into the government decision-making process. | Measured via an index to see how well national laws align with agronomical science. |
| Climate-Smart Agriculture (CSA) | An approach that helps guide actions to transform agrifood systems toward green and climate-resilient practices. | The technical foundation for the "Better Production" pillar. |
| Natural Capital | The world's stocks of natural assets, including geology, soil, air, water, and all living things. | Viewed as the "balance sheet" for agricultural sustainability in the SOLAW 2025 report. |
| IPC Scale | The Integrated Food Security Phase Classification; a standard for measuring the severity of food insecurity. | Used to track populations in "Acute Crisis" (Phase 3 or higher). |
Why Terminology Matters
In the 2026 reporting cycle, the FAO has moved away from "production-only" language. By using terms like Natural Capital and True Cost, the organization is signaling a shift toward Economic-Environmental Accounting. This allows finance ministers to see that agricultural investment is not just about "feeding people," but about reducing the long-term national debt incurred through environmental damage and public health crises.
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