Photo by ScotGov Rural via Flickr

Meeting the food and nutrition needs of a growing population will require increasing agricultural productivity sustainably and resiliently, reducing emissions and biodiversity impacts from farming, and supporting farmer livelihoods.

Transforming agricultural production to meet climate, nature and equity goals

Agricultural production is responsible for 11% of global greenhouse gas (GHG) emissions. Agricultural expansion is also a primary driver of deforestation and other types of ecosystem conversion and degradation, which in turn lead to biodiversity loss and emissions from land-use changes. Climate change exacerbates these pressures, with staple crop yields projected to drop 9% to 22% by 2100. Simultaneously, 3.8 billion people depend on agri-food systems for livelihoods. Significant changes to agricultural production are needed to produce enough nutritious food to meet demand while limiting warming to 1.5 degrees C (2.7 degrees F), conserving biodiversity on-farm and off-farm, and safeguarding livelihoods.
 

Advancing climate-smart agriculture

Transforming food and agricultural production requires cutting emissions — namely agricultural methane and nitrous oxide — while sustainably increasing production to meet growing demand for food.

It will take a variety of approaches to reduce emissions intensity faster than demand growth across key areas of agricultural production, including enteric fermentation, manure management, soil fertilization and rice cultivation. At the same time, intensifying climate impacts threaten farmers’ livelihoods, productivity and ability to minimize environmental harms. Increasing agricultural insurance and high-quality off-farm employment opportunities can improve rural communities’ resilience to climate impacts.
 

Balancing agricultural growth with biodiversity protection

It will also be critical to implement sustainable farming practices that simultaneously make existing farmland more productive while reducing harms to species and ecosystems. Curbing the expansion of pastureland, cropland and land for aquaculture ponds, as well as closing yield gaps in low-productivity regions, are all necessary to reduce deforestation and other land-use changes, and their associated off-farm biodiversity losses. Efforts should prioritize increasing the productivity of a diversity of nutritious crops for people to eat rather than focusing on only a few staple crops used for biofuels, livestock feed or processed foods.

Soil erosion and agricultural runoff are also major drivers of biodiversity loss in freshwater and marine ecosystems. Reducing the overuse of water, pesticides, nitrogen and phosphorus fertilizers, and antimicrobials, while also addressing land degradation, can help conserve biodiversity, increase carbon sequestration and reduce vulnerability to environmental shocks. Diversifying crops and livestock species in production and conservation can also increase resilience to pests, pathogens and climate change. Implementing sustainable farming solutions to enhance on-farm biodiversity requires careful consideration to balance short-term yield risks with long-term climate resilience. More food can be produced on less land and with fewer environmental impacts by scaling the adoption of local context-specific solutions, such as agroecological practices, precision agriculture and adopting water-efficient technologies.
 

Supporting farmers and rural livelihoods

Improving producer livelihoods and advancing socioeconomic development, particularly for smallholder farmers, is essential to achieve an equitable and sustainable food system. Improving access to credit, markets, electricity, mobile phones and other technologies, as well as high-quality veterinary and extension services, especially in developing countries, can advance the adoption of climate-smart and sustainable production practices while supporting livelihoods. It will also be necessary to address structural barriers such as insecure land rights, gender disparities and harmful subsidies, among other governance-related challenges.
 

Urgent action is needed for sustainable agriculture

Progress so far is limited. While one indicator, dairy productivity, is on track and eight are moving in the right direction, significant challenges remain, such as continued cropland expansion, rising emissions and increased pesticide use. However, countries and companies are beginning to take action to reduce emissions and increase resilience in the agricultural sector through their climate strategies. Policies are also needed to limit pollution and improve nutrient use, soil health and water resources management in agricultural practices, while restricting agricultural expansion. Accelerating progress in sustainable agriculture will also require scaling context-specific solutions. These efforts must be bolstered by broader efforts to increase finance to support the adoption of existing solutions and to advance research and development of new solutions.

Tracking progress on global outcomes

3029: Crop production per hectare of land harvested

Status: Well Off Track
Historical Data Methodology and Challenges:

Crop yields are calculated by dividing the total production (measured in tonnes) by the total area harvested (measured in hectares) for the following items: cereals, primary; citrus fruit, total; fruit, primary; pulses, total; roots and tubers, total; sugar crops, primary; tree nuts, total; and vegetables, primary. All values are obtained from FAOSTAT.

Target Methodology:

Our targets for crop yields were initially derived from the World Resources Report on “Creating a Sustainable Food Future,” but we updated them in 2021 to account for more recent crop demand forecasts for 2050 that were relative to a 2017 base year. We estimated a 2030 target by setting a linear pathway between 2017 and 2050 and making the 2030 target 13/33 (39%) of the needed increase to reach the 2050 target.

Climate change poses significant challenges to increasing crop yields, threatening to complicate efforts to feed a growing global population. Rising temperatures can affect crop growth, altered precipitation patterns can lead to more frequent droughts and floods, and increased pest and disease pressure are expected.

Potential global yield reductions range from 7% to 23% for major crops like maize and wheat by the end of the century if current trends continue. Tropical and subtropical regions will likely face more severe yield declines compared to higher latitudes, though impacts vary across crop species and varieties, with some, like millet, better adapted to changing climate conditions. Additionally, climate change will likely exacerbate the environmental impacts of agriculture, resulting in reduced productivity and leading to increased land clearing, creating a feedback loop that further threatens food security and ecosystem health.

Given these challenges, boosting crop yields per hectare is essential to feed a growing global population while limiting further agricultural expansion into natural ecosystems. Low yields can cause food insecurity, economic instability and increased vulnerability to climate impacts.

Global crop yields increased by 29% between 2000 and 2024 but remained relatively flat from 2019 to 2024. Well off track from the pace needed to reach the target of 7.8 tonnes per hectare by 2030, growth in crop yields needs to accelerate by a factor of 4.

Enhancing crop yields requires a two-pronged approach: increasing yield potentials through research and development, and helping underperforming areas meet their potential through the adoption of improved agricultural practices and addressing socioeconomic and policy barriers. This is particularly important in regions of Africa, South Asia, Southeast Asia and parts of Eastern Europe and Central Asia, where yield gaps are greatest largely due to differences in access to technology, infrastructure and agricultural resources. Sustainable intensification methods may include, for example, integrated pest management, agroforestry systems, soil and water management, climate-resilient crop varieties and, where technology allows, precision agriculture and digitalization.

3030: Cropland area

Status: Wrong Direction
Historical Data Methodology and Challenges:

The data was collected from WRI’s Land & Carbon Lab and was derived by calculating the zonal statistics in ArcGIS. The data is only available in four year periods (2000-2003, 2004-2007, 2008-2011, 2012-2015 and 2016-2019).

Target Methodology:

This target seeks to both halt cropland expansion (particularly onto high-carbon, biodiverse ecosystems) and liberate 282 million hectares (Mha) of cropland by 2050. This target was derived from the World Resources Report (WRR) on “Creating a Sustainable Food Future.” That report’s cropland liberation target was established using cropland data from FAOSTAT, which reports higher total cropland values than those in the Land & Carbon Lab dataset presented here (based on data from Potopov 2022). This may be explained in part by the fact that WRR uses a broader definition of cropland that includes all land used for growing crops, including temporary fallow land, while other datasets, including this one, employ a narrower definition based on remote sensing. Thus, we first downscaled the target from the WRR by comparing 2019 data between FAOSTAT and Land & Carbon Lab. The baseline year of this target was then updated from 2010 to 2017 to reflect more recent trends while aligning with other WRR-derived targets presented on this platform. 
Achieving this goal would result in a target of 933 Mha of total cropland area by 2050. Assuming the same average annual change between 2017 and 2050, the targets for 2030 and 2035 were linearly extrapolated to be 1.10 Bha and 1.06 Bha, respectively.

Progress Assessment Methodology:

While global progress was assessed primarily following methods outlined in this technical note, some deviations were made. As the available cropland data is presented in four-year periods, to get as close to five years as possible, we assessed progress based on two periods of data, equivalent to eight years. An increase in total area of cropland over the past eight years indicates that this indicator is headed in the wrong direction.

As global population and food demand grow, there is increasing pressure to convert forests and other ecosystems into cropland. However, the expansion of cropland has significant environmental and climate implications, such as increased greenhouse gas (GHG) emissions through deforestation and release of stored carbon. Based on the most recent estimates, at least 90% of tropical deforestation has occurred in landscapes where agriculture drove forest loss.

The total global cropland area increased slightly from an annual average of 1.18 billion hectares (Bha) between 2012 and 2015 to 1.22 Bha between 2016 and 2019, a 3.2% increase. Multiple projections indicate a continued and significant increase in global cropland area by 2050. These projections contrast sharply with the 1.5 degrees C-compatible goal of reducing total cropland area to 1.1 Bha by 2030.

Cropland expansion is driven by several socioeconomic and environmental factors, including population growth, dietary shifts toward animal-based land-intensive foods, economic incentives (such as biofuel policies) and government policies favoring agricultural expansion. These are coupled with pressures from the declining availability of suitable arable land due to urbanization, soil degradation and climate change impacts.

To address global cropland expansion while ensuring sustainable food production, a multi-faceted approach is necessary. This includes intensifying agriculture sustainably on existing croplands through improved agronomic practices, technologies and crop varieties; implementing policies that discourage deforestation and market systems that are deforestation-free, addressing economic drivers of expansion through regional-specific policies; and closing yield gaps in existing agricultural lands. Additionally, improving food system efficiency, reducing food loss and waste, and shifting toward more sustainable diets in high-consuming regions can decrease demand for new croplands while meeting growing food needs sustainably.

3031: Ruminant meat productivity

Status: Off Track
Historical Data Methodology and Challenges:

Ruminant meat productivity is calculated by dividing the total production of ruminant meat (measured in tonnes) by total land area under permanent meadows and pastures, (measured in 1,000 hectares). Final data are expressed in kilograms per hectare (kg/ha). All values are obtained from FAOSTAT. 

One limitation for this indicator is that FAOSTAT does not differentiate pasturelands for ruminant meat production versus those for dairy production. As globally consistent datasets improve, it may become necessary in the future to re-estimate baseline and target values for this indicator.

Target Methodology:

This target is derived from the "Breakthrough Technologies" scenario in the World Resources Report on “Creating a Sustainable Food Future,” which achieves three goals by 2050: 1) feed 10 billion people; 2) reduce agriculture’s land footprint below its 2010 global extent to eliminate GHG emissions from land-use change and free up enough farmland for restoration; and 3) limit GHG emissions from agricultural production to no more than 4 gigatonnes of carbon dioxide equivalent (GtCO2e) per year, which is in line with a 1.5 degrees C pathway. The “Breakthrough Technologies” scenario models an increase in ruminant meat productivity per hectare by 67% between 2010 and 2050. The baseline year was then updated from 2010 to 2017 to reflect more recent trends. Assuming the same average annual change between 2017 and 2050, the targets for 2030 and 2035 were linearly extrapolated to be 35 kg/ha/yr by 2030 and 37 kg/ha/yr by 2035.

Increasing ruminant meat productivity per hectare is important to meet the nutritional needs of a growing global population while minimizing environmental impacts.

In developing countries especially, ruminant (cattle, sheep, goat and buffalo) meat provides essential protein and micronutrients that are often lacking in diets based primarily on starchy staples — common in low-income populations with limited access to sufficient diverse foods. Meat production can also be an important source of income, particularly for rural communities. However, the resource-intensive nature of meat production and the methane produced from ruminant animals' digestive processes can have significant adverse environmental impacts. Improving productivity can help reduce resource use and greenhouse gas (GHG) emissions per unit of meat produced, though these changes must happen concurrently with reductions in consumption in high-consuming regions to compensate for potential rebound effects in which increased productivity can lead to a decrease in prices and an increase in quantity consumed.

Between 2020 and 2024, ruminant meat production per hectare increased by an average of 0.66 kilograms per hectare (kg/ha) per year, from 29 kg/ha to 31 kg/ha. To meet the 2030 target of 35 kg/ha, the growth rate observed needs to accelerate by a factor of one.

Recent growth is attributed to continuous productivity gains in countries including Brazil, China and the United States. Improved feeds, breeding practices and disease management are some of the mechanisms for increasing productivity. Moderate intensification techniques can also enable productivity increases while potentially promoting biodiversity and sustainability.

Ruminant meat productivity varies considerably across the globe, with higher-income countries generally having greater productivity levels. While productivity is expected to rise globally, higher gains are needed in low- and middle-income countries. Smallholder producers in these countries face a number of constraints on their productivity including financial, technical, sociocultural barriers; competitive disadvantages; and market and production risks. Increasing target investments to the livestock sector, access to advanced technologies and access to markets could support increasing productivity of small-scale farming in sustainable ways.

While this metric tends to favor intensive production systems, productivity improvements in livestock systems need not replicate the environmental and social harms historically linked to intensive production models like Concentrated Animal Feeding Operations (CAFOs), battery cages and industrial-scale feedlots. Such systems often exacerbate water pollution from manure runoff, increase antimicrobial resistance due to prophylactic antibiotic use, and raise ethical concerns about animal welfare. Any approach to increasing productivity should be implemented carefully, taking into consideration the risk of trade-offs impacting worker and community health, air and water pollution, antimicrobial resistance, and animal welfare.

3032: Dairy productivity

Status: Off Track
Historical Data Methodology and Challenges:

The data was collected from the “Crops and livestock products” dataset provided by FAOSTAT. The data is presented in kilograms (kg) per milking animal.

Target Methodology:

This target is derived from the "Breakthrough Technologies" scenario in the World Resources Report (WRR) on “Creating a Sustainable Food Future,” which achieves three goals by 2050: 1) feed 10 billion people; 2) reduce agriculture’s land footprint below its 2010 global extent to eliminate greenhouse gas (GHG) emissions from land-use change and free up enough farmland for restoration; and 3) limit GHG emissions from agricultural production to no more than 4 gigatonnes of carbon dioxide equivalent (GtCO2e) per year, which is in line with a 1.5 degrees C pathway. The “Breakthrough Technologies” scenario models an increase in dairy productivity by 58% by 2050, relative to 2010, equating to 1,490 kg/milking animal by 2050. Using the same average annual change, the targets for 2030 and 2035 were linearly extrapolated to be 1,220 kg/milking animal and 1,280 kg/milking animal, respectively.

Increasing dairy productivity per hectare is important to meet the nutritional needs of a growing global population while minimizing environmental impacts. Dairy products provide essential protein and micronutrients that are especially important for promoting the growth and health of young children in low- and middle-income countries, where their consumption may reduce stunting and other forms of undernutrition. Much of the projected increase in demand for dairy products is expected to come from regions that currently consume lower amounts of dairy products per capita, driven by population growth, urbanization and rising incomes.

Striving to meet this growing need, globally, dairy productivity grew by 17% between 2004 and 2024, from 990 kilograms (kg) of milk per milking animal to 1,1600 kg/milking animal. While increasing, the pace from the last five years is off track and needs to accelerate by 1.3 times to achieve the 2030 target of 1,220 kg/milking animal.

This trend has been positive globally, but dairy productivity has grown even faster in regions like Europe and North America due to advancements in technology, genetics and management practices. Sub-Saharan Africa, South Asia and Latin America have relatively lower dairy productivity, primarily due to limited access to resources and technology, including improved feed, genetics and veterinary services. These obstacles are compounded by other resource limitations such as moisture stress, recurrent droughts and widespread degradation of grazing land.

Dairy productivity needs to be increased carefully to avoid some of the negative impacts associated with intensification, including threats to smallholder livelihoods, water pollution, biodiversity loss and animal welfare concerns. Addressing productivity challenges sustainably will require increased research and development investment focusing on developing climate-resilient livestock breeds, improving feed efficiency with local resources, and enhancing animal health management for smallholders. These targeted interventions, combined with improved access to resources and technology, can help boost productivity while minimizing environmental impacts.

3033: Pastureland area, as measured by land area dedicated to permanent meadows and pastures

Status: Well Off Track
Historical Data Methodology and Challenges:

Data was collected from FAOSTAT’s “Permanent meadows and pastures,” including naturally growing and cultivated lands. The current data from FAOSTAT provides only global and national aggregates of total area. This limits our ability to specifically track pastureland expansion into high-carbon, biodiverse ecosystems, which is the key concern for sustainability. Future improvements in data collection and reporting that can differentiate types of land conversion would greatly enhance the usefulness of this indicator.

Target Methodology:

This target was derived from the World Resources Report (WRR) on “Creating a Sustainable Food Future,” which had a target to liberate 450 Mha of pasturelands by 2050, reducing total pastureland area by 14% relative to 2010. The baseline year of this target was then updated to 2017 to reflect more recent trends. As of 2017, pastureland area was 3.1 billion hectares (Bha). After incorporating the updated target to free up 440 Mha, the quantitative target for total pastureland area is 2.7 Bha by 2050. Using the same average annual change, the targets for 2030 and 2035 were linearly extrapolated to be 3.0 and 2.9 Bha, respectively.

As global demand for animal products continues to grow, there is increasing pressure to convert forests and other natural habitats into pastures for livestock grazing. However, this expansion comes with significant environmental costs, including biodiversity loss associated with deforestation and degradation and increased greenhouse gas (GHG) emissions.

Between 2020 and 2024, the total global area dedicated to permanent meadows and pastures (including pasturelands, grasslands and rangelands) decreased slightly, by less than 1%. While moving in the right direction, the total area would need to decrease 3 times faster — from 3.1 billion hectares (Bha) in 2024 to 3.0 Bha in 2030 — to align with pathways that both halt pastureland expansion into natural ecosystems and enable restoration to limit global warming to 1.5 degrees C.

Importantly, in some regions, especially among pastoralists in Africa, rangelands have declined not because of reduced land demand for food production, but due to pressures like extreme grazing, land degradation and replacement by crop cultivation. While halting expansion of pastureland area globally is important, rangelands support millions of pastoralists and agro-pastoralists, contributing significantly to local economies in these regions. Moreover, extensively grazed rangelands are critical repositories of biodiversity, sustaining diverse flora and fauna, including diverse breeds of livestock uniquely adapted to these landscapes. Managed extensive grazing enhances plant diversity and supports wildlife habitats and microbial communities essential for ecosystem functioning. Therefore, strategies to address pastureland management should prioritize improving productivity and implementing better policies geared toward sustainable pasture-based agriculture, rather than solely focusing on reducing land area.

Globally reducing pastureland expansion requires integrated interventions, such as the intensification of livestock production by providing energy-dense feeds produced in smaller areas, and improving genetics of both pasture crops and livestock. The productivity of existing pastureland can also be improved through a variety of interventions like grazing management, silvopasture, improving forage quality and enhancing soil health.

The main challenge in tracking pastureland conversion is a lack of global data disaggregated into different types of pasturelands, including cultivated pastures, natural grasslands, rangelands and bushland. This data limitation makes it difficult to accurately assess changes in pastureland areas and their impacts on productivity and ecosystems. New initiatives, such as Global Pasture Watch, aim to improve the geospatial monitoring of pasturelands. These advancements will enhance our ability to monitor conversion, track restoration progress and assess changes in pastureland productivity.

3034: Aquaculture production efficiency per land area

Status: Insufficient Data
Historical Data Methodology and Challenges:

This indicator requires data on both global aquaculture production (kilograms of fish produced) and land use associated with aquaculture production (for both aquaculture ponds and fish feed). While aquaculture results in the production of various aquatic animals and plants, fish is used as a proxy for all aquaculture products. The FAO FISHSTAT database provides global aquaculture production quantity data on an annual basis, but longitudinal data on global aquaculture land use is unavailable.

Target Methodology:

This target is derived from the "Breakthrough Technologies" scenario in the World Resources Report on “Creating a Sustainable Food Future,” which achieves three goals by 2050: 1) feed 10 billion people; 2) reduce agriculture’s land footprint below its 2010 global extent to eliminate greenhouse gas (GHG) emissions from land-use change and free up enough farmland for restoration; and 3) limit GHG emissions from agricultural production to no more than 4 gigatonnes of carbon dioxide equivalent (GtCO2e) per year, which is in line with a 1.5 degrees C pathway. The “Breakthrough Technologies” scenario models a 20% increase in aquaculture production efficiency between 2010 and 2050 — specifically, it modeled 20% less use of all major inputs (water, feed, energy and fertilizers) per kilogram of fish. A primary outcome of the increased aquaculture production efficiency in the “Breakthrough Technologies” scenario was to reduce the total land demand (cropland needed for feed and land for aquaculture ponds). For simplicity of data collection, analysis and interpretation, this indicator is presented as aquaculture production efficiency per hectare. A directional target was selected for this platform given the lack of data to update the baseline year from 2010 to 2017 to be consistent with other indicators in the food and agriculture shift.

Farming fish and shellfish through aquaculture is a relatively efficient way to produce nutritious animal-source foods with relatively low environmental impacts. Aquaculture also supports rural livelihoods and offers opportunities for enhanced resilience through diversifying global food systems.

Practices used in some forms of aquaculture present food security and environmental challenges. For example, the use of small wild-caught fish and fish oil in exported feeds competes with traditional livelihoods and direct food consumption for low-income local populations, and is approaching ecological limits. Other challenges include water pollution and associated threats to marine biodiversity, high freshwater demand for certain production systems, and the effects of escaped farm fish on wild fish.

Although aquaculture production typically occurs in or near water, it requires land for aquaculture ponds and to grow crops for some fish feed. While recent data is not available, aquaculture occupied an estimated 1% of global agricultural land in 2010. One estimate suggests that the use of feed crops in aquaculture (a proxy for global aquaculture land use) increased by 77% per unit of production and over 4x in total between 1997 and 2017 (the last year of available data).

Aquaculture land-use demands are projected to roughly double by 2050. An increased land use footprint is particularly concerning when it drives the conversion of high-carbon, biodiverse ecosystems, including mangroves and salt marshes. For example, aquaculture expansion was the leading driver of mangrove deforestation globally from 2000 to 2020, though its relative importance as a driver decreased from 2010 to 2020.

Most farmed fish and shellfish have a lower land use footprint per kilogram than other animal-source foods (especially ruminant meat), so if production is expanded carefully to reduce ecosystem conversion and meet growing demands, it still offers an opportunity to reduce net land-use demands. This expansion, however, can be minimized if aquaculture production becomes more land-efficient — that is, if more kilograms of fish are produced per hectare.

At the same time, other sustainability dimensions must be improved, including the amount of antibiotics used and other disease management practices, nutrient pollution controls, and the types of feed inputs used to ensure intensification occurs in a sustainable way.

3035: Enteric fermentation emissions intensity

Status: Off Track
Historical Data Methodology and Challenges:

GHG emissions intensity is calculated by dividing annual enteric fermentation emissions (CO2e) by the quantity of ruminant animal products (bovine meat, mutton and goat meat, milk (excluding butter), butter/ghee, and cream) produced each year, both obtained from FAOSTAT. The quantity of ruminant animal products produced in tonnes was converted to kilocalories (kcal) using conversion factors derived from FAOSTAT’s food balance sheet data on the food supply for each country-year-product combination.

The data for this indicator is based on FAOSTAT's enteric fermentation emissions data, presented in carbon dioxide equivalents, which is generated using the Tier 1 approach outlined in the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. This methodology involves applying default emission factors provided by the IPCC to annually collected country-reported livestock population statistics. Enteric methane emissions are calculated by multiplying livestock numbers by corresponding emission factors, disaggregated by animal type and country. FAOSTAT provides a consistent time series of these emissions, typically from 1961 to the most recent available year, with annual updates. While this Tier 1 approach ensures global comparability, it may not capture country-specific variations in livestock management practices or feed quality. Some countries may employ more detailed Tier 2 or Tier 3 approaches in their national inventories for more accurate country-level estimates.

Additionally, while most Systems Change Lab indicators are designed to be actionable and concrete, such as by the adoption of specific policies or technologies, a general emissions intensity metric was selected to track enteric fermentation emissions for now. There are several promising technologies and practices emerging to reduce enteric fermentation emissions, but it is not yet clear which most warrants greater attention.

Target Methodology:

This target is derived from the "Breakthrough Technologies" scenario in the World Resources Report (WRR) on “Creating a Sustainable Food Future,” which achieves three goals by 2050: 1) feed 10 billion people; 2) reduce agriculture’s land footprint below its 2010 global extent to eliminate GHG emissions from land-use change and free up enough farmland for restoration; and 3) limit GHG emissions from agricultural production to no more than 4 gigatonnes of carbon dioxide equivalent (GtCO2e) per year, which is in line with a 1.5 degrees C pathway. The “Breakthrough Technologies” scenario models a pathway in which absolute enteric fermentation emissions decline by 26% between 2010 and 2050. Because demand for ruminant meat and dairy products is expected to grow by 72% between 2010 and 2050, the necessary reduction in enteric fermentation emissions per calorie of ruminant meat and dairy products would be 57% (1-(0.74/1.72)=0.57) during that period. The absolute GHG emissions values from the WRR were then scaled to align with FAOSTAT values by comparing data from 2010 in both sources. As enteric fermentation emissions have continued to increase since 2010, the baseline year was updated from 2010 to 2017. Together, these modifications led to a 2050 target of 1,600 grams of carbon dioxide equivalent (gCO2e) per 1,000 kilocalories (kcal). Assuming the same average annual change between 2017 and 2050, targets for 2030 and 2035 were linearly extrapolated to be 2,600 gCO2e/1,000 kcal and 2,400 gCO2e/1,000 kcal, respectively.

Enteric fermentation — the digestive process that causes ruminant animals like cattle, goats and sheep to release greenhouse gases (GHG) through belching and flatulence — is a significant contributor to emissions. This process accounts for approximately 32% of global human-caused methane emissions. Moreover, methane is a particularly potent GHG, with a global warming potential 28 times that of carbon dioxide (CO2) over a 100-year period. Addressing these emissions is essential for rapid climate mitigation, as reducing methane can have a more immediate impact on slowing the rate of warming compared to CO2 reductions alone.

While absolute enteric fermentation emissions from livestock have continually increased globally, enteric fermentation emissions intensity has steadily decreased, dropping from 3,700 grams of CO2 equivalent (gCO2e) per 1,000 kilocalorie (kcal) in 2010 to 3,000 gCO2e/1,000 kcal in 2023. Nevertheless, the annual rate of decline from 2019 to 2023 was off track from the pace needed to reach the target of 2,600 gCO2e/1,000 kcal by 2030; global enteric fermentation emissions must be reduced 1.8x faster.

Developing effective technologies to mitigate enteric fermentation emissions is a dynamic and evolving field of research. Promising solutions include feed additives, such as 3-nitrooxypropanol (3-NOP), which has been shown to reduce enteric methane emissions by 22% to 40% in dairy systems depending on dose, diet and animal type. Long-term strategies such as selective breeding for livestock that produce lower methane emissions and enhancing feed conversion efficiency could also help reduce methane by 15% to 25%. Additionally, enhancing overall productivity and management practices, including improving genetics, feed, housing and health, has the potential to reduce enteric methane emissions between 15% to 30%. Such interventions are particularly impactful in low-productivity regions, where inefficiencies prolong time to reach slaughter weight and productivity gains could significantly reduce the number of animals needed to meet demand.

3036: Rice cultivation emissions intensity

Status: Well Off Track
Historical Data Methodology and Challenges:

GHG emissions intensity is calculated by dividing annual rice cultivation emissions (CO2e) by the quantity of rice produced each year, both obtained from FAOSTAT. The quantity of rice produced in tonnes was converted to kcal using conversion factors derived from FAOSTAT’s food balance sheet data on the food supply for each country-year combination.

Additionally, while most Systems Change Lab indicators are designed to be actionable and concrete, such as by the adoption of specific policies or technologies, a general emissions intensity metric was selected to track rice cultivation emissions for now. There are several promising technologies and practices emerging to reduce rice cultivation emissions, but it is not yet clear which warrant the most attention.

Target Methodology:

This target is derived from the "Breakthrough Technologies" scenario in the World Resources Report (WRR) on “Creating a Sustainable Food Future,” which achieves three goals by 2050: 1) feed 10 billion people; 2) reduce agriculture’s land footprint below its 2010 global extent to eliminate GHG emissions from land-use change and free up enough farmland for restoration; and 3) limit GHG emissions from agricultural production to no more than 4 gigatonnes of carbon dioxide equivalent (GtCO2e) per year, which is in line with a 1.5 degrees C pathway. The “Breakthrough Technologies” scenario models a pathway in which absolute rice cultivation emissions decline by 45% between 2010 and 2050. Because demand for rice is expected to grow by 32% between 2010 and 2050, the necessary reduction in fertilizer-related emissions per calorie of total crops produced would be 58% (1-(0.55/1.32)=0.58) during that period. The absolute GHG emissions values from the WRR were then scaled to align with FAOSTAT values by comparing data from 2010 in both sources. The baseline year was also updated from 2010 to 2017 to reflect more recent trends. Together, these modifications led to a 2050 target of 170 grams of CO2e (gCO2e)/1,000 kcal. Assuming the same average annual change between 2017 and 2050, targets for 2030 and 2035 were linearly extrapolated to be 300 gCO2e/1,000 kcal and 270 gCO2e/1,000 kcal, respectively.

Rice cultivation emissions primarily consist of methane and nitrous oxide. These greenhouse gases are released during anaerobic decomposition of organic matter in flooded rice paddies, which creates ideal conditions for methane-producing bacteria. Emissions from rice cultivation account for approximately 11% of global agricultural emissions.

While absolute rice cultivation emissions have consistently increased globally, the emissions intensity of rice cultivation, measured in grams of carbon dioxide equivalent (gCO2e) per 1,000 kilocalories (kcal) produced, declined slightly from 2019 to 2023. Progress is therefore moving in the right direction but well off track. To achieve the target of 300 gCO2e/1,000 kcal by 2030, global emissions from rice cultivation must decrease 3x faster, declining by approximately 20%, from 370 gCO2e/1,000 kcal in 2023.

Several strategies can help reduce greenhouse gas emissions from rice cultivation. For instance, boosting rice yields reduces the amount of land area that needs to be flooded. Water management techniques like alternate wetting and drying can cut methane (CH4) emissions by 34% to 73%. Organic matter management, such as composting rice straw before incorporation into soil, mitigates the CH4 increase associated with organic amendments. Developing rice varieties that reduce CH4 emissions may also offer a long-term solution.

Additionally, shifting cultivation from paddy to upland rice systems can substantially reduce CH4 emissions, given that upland rice is grown on dry soil rather than flooded paddies. However, increasing upland rice productivity requires targeted research and development, as these varieties have historically received less attention. The System of Rice Intensification methodology, which integrates water, soil and plant management, can also help to reduce emissions while boosting yields.

3037: Emissions intensity from synthetic fertilizer, manure applied to soils, and crop residues

Status: Off Track
Historical Data Methodology and Challenges:

Total fertilizer-related emissions were calculated by adding emissions from synthetic fertilizers, manure applied to soils, and crop residues, all obtained from FAOSTAT. Synthetic fertilizer emissions presented here represent emissions from application only; emissions from the manufacturing of synthetic fertilizers, and opportunities to address those emissions, will be addressed in the industry system. The GHG emissions intensity was then calculated by dividing total annual fertilizer-related emissions (CO2e) by the quantity of vegetal products (cereals, excluding beer; fruits, excluding wine; oilcrops; pulses; starchy roots; sugar crops; tree nuts; vegetables; stimulants; spices; alcoholic beverages; miscellaneous) produced per year. The quantity of vegetal products produced in tonnes was converted to kcal using conversion factors derived from FAOSTAT’s food balance sheet data on the food supply for each country-year-product combination.

While most Systems Change Lab indicators are designed to be actionable and concrete, such as by the adoption of specific policies or technologies, a general emissions intensity metric was selected to track fertilizer-related emissions for now. There are several promising technologies and practices emerging to reduce fertilizer emissions, but it is not yet clear which warrant the most attention.

Target Methodology:

This target is derived from the "Breakthrough Technologies" scenario in the World Resources Report (WRR) on “Creating a Sustainable Food Future,” which achieves three goals by 2050: 1) feed 10 billion people; 2) reduce agriculture’s land footprint below its 2010 global extent to eliminate GHG emissions from land-use change and free up enough farmland for restoration; and 3) limit GHG emissions from agricultural production to no more than 4 gigatonnes of carbon dioxide equivalent (GtCO2e) per year, which is in line with a 1.5 degrees C pathway. The “Breakthrough Technologies” scenario models a pathway in which fertilizer emissions — including emissions from the application of synthetic fertilizers, as well as absolute emissions from manure applied to croplands and crop residues left on fields — decline by 11% between 2010 and 2050. Because demand for crops is expected to grow by 58% between 2010 and 2050, the necessary reduction in fertilizer-related emissions per calorie of total crops produced would be 44% (1-(0.89/1.58)=0.44) during that period. The absolute GHG emissions values from the WRR were then scaled to align with FAOSTAT values by comparing data from 2010 in both sources. The baseline year was also updated from 2010 to 2017 to reflect more recent trends. Together, these modifications led to a 2050 target of 45 gCO2e/1,000 kcal. Assuming the same average annual change between 2017 and 2050, targets for 2030 and 2035 were linearly extrapolated to be 63 gCO2e/1,000 kcal and 58 gCO2e/1,000 kcal, respectively

Fertilizers are important for improving and maintaining crop productivity, but their production and use contribute to significant greenhouse gas (GHG) emissions. Emissions from fertilizer application alone account for approximately 16% of agricultural production emissions.

This indicator tracks nitrous oxide emissions from synthetic fertilizer application in agricultural systems, manure applied to croplands, and crop residues left on fields (emissions from the manufacturing of synthetic fertilizers, and opportunities to address those emissions, will be addressed in the industry system).

Global fertilizer emissions intensity slowly declined from 80 grams of carbon dioxide equivalent (gCO2e) per 1,000 kilocalories (kcal) of food produced in 2010 to 68 gCO2e/1,000 kcal in 2023. Despite this progress, the rate of decline between 2018 and 2022 was off track from the pace needed to achieve the target of 63 gCO2e/1,000 kcal by 2030. To achieve this target, global fertilizer-related emissions must decrease 1.2 times faster.

There are various and evolving mitigation strategies for fertilizer-related emissions. Promising solutions include increasing nitrogen use efficiency, for example by using enhanced efficiency fertilizers that can reduce nitrous oxide (N2O) from fertilizer application by about 22% to 56%. For manure applied to croplands, removing manure from barns on a daily basis to apply it on farmland could reduce emissions from manure by up to 45%. 

Similarly, to address emissions from crop residues on fields, strategies include avoiding incorporation of immature crops and shallow incorporation of residues into the soil. Other effective methods include using ammonium-based fertilizers instead of nitrate-based fertilizers, which can reduce N2O emissions from fertilizer application by up to 66%, and implementing precision agriculture techniques to optimize fertilizer application and scale large-scale adoption of integrated soil fertility management practices. Integrated soil fertility management practices, such as combining organic amendments (e.g., compost), mineral fertilizers, and crop rotation, can reduce N2O emissions from fertilizer applications by 11% to 24%, according to one estimate.

3038: Emissions intensity from manure management and manure left on pasture

Status: Well Off Track
Historical Data Methodology and Challenges:

Manure-related emissions were calculated by adding annual emissions from manure management and manure left on pasture, and then dividing that sum by the quantity of animal products (bovine meat, mutton and goat meat, pig meat, poultry meat, other meat, milk (excluding butter), offals, butter, cream, animal fat, and eggs) produced per year, all obtained from FAOSTAT. The quantity of animal products produced in tonnes was converted to kcal using conversion factors derived from FAOSTAT’s food balance sheet data on the food supply dataset for each country-year-product combination.

While most Systems Change Lab indicators are designed to be actionable and concrete, such as by the adoption of specific policies or technologies, a general emissions intensity metric was selected to track manure-related emissions for now. There are several promising technologies and practices emerging to reduce manure-related emissions, but it is not yet clear which warrant the most attention.

Target Methodology:

This target is derived from the "Breakthrough Technologies" scenario in the World Resources Report (WRR) on “Creating a Sustainable Food Future,” which achieves three goals by 2050: 1) feed 10 billion people; 2) reduce agriculture’s land footprint below its 2010 global extent to eliminate GHG emissions from land-use change and free up enough farmland for restoration; and 3) limit GHG emissions from agricultural production to no more than 4 gigatonnes of carbon dioxide equivalent (GtCO2e) per year, which is in line with a 1.5 degrees C pathway. The “Breakthrough Technologies” scenario models a pathway in which absolute manure-related emissions — including emissions from manure management (e.g., manure from more confined operations) and manure left on pasture — decline by 26% between 2010 and 2050. Because demand for animal products is expected to grow by 68% between 2010 and 2050, the necessary reduction in fertilizer-related emissions per calorie of total crops produced would be 56% (1-(0.74/1.68)=0.56) during that period. The absolute GHG emissions values from the WRR were then scaled to align with FAOSTAT values by comparing data from 2010 in both sources. The baseline year was also updated from 2010 to 2017 to reflect more recent trends. Together, these modifications led to a 2050 target of 320 gCO2e/1,000 kcal. Assuming the same average annual change between 2017 and 2050, targets for 2030 and 2035 were linearly extrapolated to be 550 gCO2e/1,000 kcal and 490 gCO2e/1,000 kcal, respectively.

Manure emissions include greenhouse gases (GHGs) released during the storage, treatment and application of animal waste in agricultural systems. Emissions from manure management and manure left on pasture are a significant contributor to global GHG emissions from the agricultural sector, accounting for about 19% of agricultural production emissions.

These emissions primarily consist of methane (CH4) and nitrous oxide (N2O), both potent GHGs with global warming potential 28 and 300 times that of carbon dioxide (CO2) over a 100-year period, respectively.

While global manure emissions intensity has consistently decreased between 2010 and 2023, progress in reducing the emissions intensity between 2019 and 2023 was well off track of the pace needed to meet the 2030 target of 550 grams of CO2 equivalent (gCO2e) per 1,000 kilocalories (kcal). Global manure-related emissions must decrease 2.4 times faster, by approximately 21% from the 2023 level of 670 gCO2e/1,000 kcal.

Agricultural activities that contribute to high levels of manure-related emissions include storing manure in lagoons or pits and the application of untreated manure to croplands. Mitigation strategies for manure management emissions are diverse and evolving, offering significant potential for reducing GHG emissions from this sector. Methods such as anaerobic digestion, composting, pasture-based management, solid-liquid separation storage, manure drying, acidification and reducing manure storage time are among the strategies with varying degrees of success in methane reduction.

3039: Nitrogen use efficiency among OECD members and select other countries

Status: Wrong Direction
Historical Data Methodology and Challenges:

Ongoing data on nitrogen use efficiency (NUE) is only available for 36 Organisation for Economic Co-operation and Development (OECD) members, 5 European non-OECD members, and 11 additional emerging and developing economies. NUE is calculated by taking the ratio of nitrogen in agricultural produce to nitrogen inputs.

The “global” value presented here represents median NUE values for OECD countries only. Data limitations significantly restrict our understanding of global trends, particularly in developing countries, where agricultural practices and challenges may differ substantially from those in OECD nations. Therefore, interpretations based on this data should be made cautiously and may not be representative of global NUE.

Target Methodology:

1.5 degrees C-compatible targets for NUE are not available, while those focused on conserving biodiversity are primarily aspirational in nature. Accordingly, we present directional, qualitative targets to increase NUE informed by research focused on estimating regional and planetary boundaries for agricultural nitrogen pollution.

Nitrogen is essential for crop growth, and nitrogen fertilizers have been one of the primary drivers of increased crop yields achieved over the past century. However, production and use of nitrogen fertilizers contribute to environmental externalities such as greenhouse gas (GHG) emissions (tracked in another indicator). Over-application and excessive nitrogen losses also contribute to nutrient runoff (leading to eutrophication and soil acidification), as well as  loss of biodiversity in terrestrial and aquatic ecosystems. Agriculture accounts for approximately 74% of global anthropogenic nitrous oxide (N2O) emissions, primarily from fertilizer application and manure management.

Nitrogen use efficiency (NUE) measures the ratio of nitrogen absorbed by crops and nitrogen fertilizer applied. A high NUE indicates that crops are efficiently utilizing the applied nitrogen, while a low NUE suggests that much of the nitrogen is not being absorbed by the crops. Research suggests optimal NUE is around 0.70, even up to 0.75 in highly efficient farming systems. Higher NUE can be achieved with practices such as efficient irrigation, balanced micronutrient application, improved planting methods and precise timing of nitrogen applications to align with crop needs.

Tracking NUE over time shows the availability and application of technologies and practices to reduce excess nitrogen losses. Aggregate data on NUE is only available for a large subset of OECD member countries, in which the median NUE increased by 11% between 2000 and 2020, from 0.55 to 0.61. However, progress in recent years has stagnated,  and a slightly negative average annual change over the last five years of data indicates that this indicator is headed in the wrong direction for OECD member countries.

3040: Phosphorus use efficiency among OECD members and select other countries

Status: Right Direction
Historical Data Methodology and Challenges:

Ongoing data on PUE is only available for 36 OECD members, 5 European non-OECD members, and 11 additional emerging and developing economies. PUE is calculated by taking the ratio of phosphorus outputs to phosphorus inputs.

The “global” value represents median PUE values for OECD countries only.  Data limitations significantly restrict our understanding of global trends, particularly in developing countries, where agricultural practices and challenges may differ substantially from those in OECD nations. Therefore, interpretations based on this data should be made cautiously and may not be representative of global PUE.

Target Methodology:

Targets focused on conserving biodiversity are primarily aspirational in nature. Accordingly, we present directional, qualitative targets to increase PUE informed by research focused on estimating global and regional phosphorus budgets for agricultural production.

Phosphorus fertilizers are vital for soil fertility and crop productivity, supporting long-term food security. However, excess phosphorus not absorbed by plants causes phosphorus runoff, contributing to eutrophication, algal blooms and biodiversity loss in water bodies. Excess phosphorus fertilizers use can also disrupt soil fertility, inhibit the uptake of essential micronutrients, reduce crop yields and cause nutrient deficiencies in crops.

Increasing phosphorus use efficiency (PUE) — the ratio between fertilizer phosphorus harvested in crops and the amount applied — can reduce nutrient loss, increase yields and promote sustainable agriculture. Phosphorus also has limited global reserves, making efficient use necessary for achieving long-term agricultural sustainability.

Increasing PUE can be achieved by better nutrient management techniques such as soil testing, precision fertilization, tailoring phosphorus sources to the cropping system, and appropriate timing and placement of fertilizer application.

Tracking PUE over time shows the availability and application of technologies and practices to reduce excess phosphorus losses. PUE varies significantly across regions, with a pronounced dichotomy of over- and under-application globally. Lower efficiency rates are often found in countries that are rapidly increasing agricultural productivity through higher input use, such as Brazil, China and India. However, aggregate data is only available for a large subset of OECD members, for which the median PUE grew by 57% between 1990 and 2020, though progress from 2014 to 2020 has stalled.  A slight increase in the median PUE over the past five years indicates that this indicator is headed in the right direction across OECD member countries.

3041: Quantity of antimicrobials used in food animal production per biomass of animals

Status: Insufficient Data
Historical Data Methodology and Challenges:

The data was collected from the “Monitoring antimicrobial use and resistance” dataset provided by World Organization for Animal Health (WOAH). Data is available for only 29 countries from 2014 to 2022, hence a global data point is not presented. The report gathers detailed information on antimicrobial quantities used in animals, categorized by antimicrobial class, animal species and intended use (therapeutic, growth promotion or other). It also evaluates the implementation of national action plans and regulatory frameworks to monitor and control antimicrobial use in animal agriculture.

Data on antimicrobial use in animals was available from 2014 to 2022 for the following European countries: Belgium, Bulgaria, Denmark, Estonia, Finland, France, Italy, Latvia, Norway, Spain, Switzerland, the Netherlands and the United Kingdom. This data was combined with the total biomass of animals in each of these countries, reported by WOAH per year, to calculate a weighted average antimicrobial use intensity from 2014 to 2022.

Target Methodology:

In the absence of a global quantitative target for antimicrobials used per kilogram (kg) of animal biomass, we present directional, qualitative targets based on research focused on curbing antimicrobial use in food animal production to reduce public health risks.

Agricultural antimicrobial use refers to administering antimicrobial drugs — including antibiotics, antifungals and antiparasitics — in livestock, crops and aquaculture production for disease prevention, treatment and growth promotion.

Excessive and inappropriate use of these drugs leads to antimicrobial resistance, which reduces drug effectiveness against infections in both animals and humans. Additionally, antimicrobial release into the environment through runoff and waste harms ecosystems and biodiversity. Rising temperatures and increased disease pressures associated with climate change may also drive higher antimicrobial use, exacerbating antimicrobial resistance and public health concerns.

Country-specific data on antimicrobial use in animals is available for select countries. Across the 81 countries that reported data consistently from 2019 to 2021, average antimicrobial use intensity increased by 2%, rising from 107 mg of antimicrobial agents reported per kilogram of animal biomass in 2019 to 110 mg/kg in 2021. The antimicrobial use intensities in Europe and Africa were approximately half the global average in 2021.

In 2020, the European Union (EU) set a goal to reduce antimicrobial use in farm animals and aquaculture production by 50% between 2020 and 2030. In many EU countries, there has already been a decline in the sales and consumption of antimicrobials for animal agriculture. For example, among the 13 European countries with consistent data reporting across 2014 to 2022, the weighted average use of antimicrobials decreased by 57% from 86 mg per kilogram of animal biomass in 2014 to just 37 mg/kg in 2022. In the United States (U.S.), sales and distribution of medically important antimicrobial drugs for food-producing animals peaked in 2015 but had decreased by 37% as of 2023.

The reduction in use of antimicrobials has mostly been driven by a combination of regulatory measures, antimicrobial stewardship programs and educational initiatives aimed at both healthcare professionals and the public. In 2017, the U.S.’s Food and Drug Administration Guidance for Industry eliminated the use of medically-important antimicrobials for growth promotion but did not ban prophylactic drugs. In contrast, EU regulations implemented in 2022 ban all forms of routine farm antibiotic use. Similarly, while there is a quantitative target in the EU, the U.S. does not have a quantitative target, focusing instead on promoting judicious use and improving data collection.

Comparable data from other large livestock and crop-producing countries is needed. Individual studies suggest recent increases in defined daily doses per 1,000 inhabitants in countries such as Brazil, which saw a 30% increase between 2014 and 2019, and China, which saw a 79% increase between 2000 and 2015. Globally, antimicrobial use in food-producing animals is estimated to increase by 8% by 2030 compared to 2020 levels.

The rise in antimicrobial use is driven by intensified livestock production, particularly in emerging economies like China, Brazil and India. This trend is exacerbated by regulatory frameworks that are often weak or poorly enforced. Limited access to alternatives, knowledge gaps, attitudes favoring routine use, and growing global demand for animal protein also contribute to the increase in use. Addressing this issue and mitigating the associated risks will require stronger regulations, enhanced monitoring, awareness initiatives and access to alternatives to antimicrobials in livestock production.

3042: Pesticide use per area of cropland

Status: Wrong Direction
Historical Data Methodology and Challenges:

Pesticides (total) data was collected directly from FAOSTAT’s “Pesticides Use” database in the form of use per area of cropland. FAOSTAT’s “Total Pesticides” include insecticides, fungicides, bactericides, herbicides, plant growth regulators, rodenticides, mineral oils, disinfectants and others.

Target Methodology:

Targets focused on conserving biodiversity are primarily aspirational in nature. Accordingly, we present a directional target to lower pesticide use per area of cropland. This is based on research highlighting the need to control the use of pesticides to reduce the risks to human health and the environment.

By reducing pest-induced losses, pesticides enhance crop yields and promote global food security. However, excessive or improper application can harm human health (especially for farmworkers and surrounding communities), cause biodiversity loss and pollute air and water. Pesticide use per area of cropland — measuring the quantity of herbicides, insecticides and fungicides applied to agricultural land — serves as a proxy to monitor the potential overuse of pesticides.

Globally, average pesticide use per area of cropland increased by 70% since 2000, reaching 2.5 kilograms per hectare (kg/ha) in 2024. Though this indicator does not have an identified quantitative global target, the average annual growth over the past five years indicates pesticide use intensity is headed in the wrong direction, raising risks to human health and the environment.

Nearly 4 million tonnes of pesticides are used annually worldwide in agriculture, with significant regional differences. Large agriculture-producing countries dominate in terms of the absolute amount of pesticides used, led by Brazil, the United States, Indonesia, Argentina and China. However, when analyzing the intensity of pesticide use on agricultural land, Brazil and Japan are some of the largest agricultural countries with the highest pesticide use per area of cropland, at 12 kg/ha and 10 kg/ha, respectively, in 2024.

The increase in pesticide use in recent decades has been driven by the need to boost agricultural productivity for a growing global population, together with the development of pesticide resistance, potentially leading to the use of more potent or greater quantities of chemicals.

Addressing pesticide overuse requires implementing integrated pest management techniques, developing alternative pest control methods and strengthening regulations and enforcement to ensure responsible use. This must be done while minimizing the risk of reduced crop yields, as there are potential trade-offs when reducing pesticide use, especially in the short term.

This indicator focuses specifically on pesticide use in agriculture, which affects pesticide contamination risk in terrestrial and freshwater ecosystems.

3043: Degraded agricultural land, as measured by the share of total land affected by land degradation

Status: Insufficient Data
Historical Data Methodology and Challenges:

Three different land productivity dynamics (LPD) datasets are available from the data source. The “SDG 15.3.1 using FAO-WOCAT LPD” dataset is used here. The time period for the analysis is for 2001-2015.

Global data is calculated by dividing the aggregated “Land area degraded” by “Total” land area across countries. The country-level data is extracted from the data source. This data set is a proxy and not a direct measure of degradation in agricultural lands, as the data includes degradation in all other land use types.

Measuring land degradation is challenging due to the complexity and context-dependent nature of the process. The use of diverse proxies and indicators, such as changes in net primary productivity, soil organic carbon or land cover, makes it difficult to compare and synthesize findings across regions. The lack of standardized assessment methodologies and definitions leads to inconsistent results and interpretations. While high-resolution satellite imagery has improved global land monitoring, challenges remain in developing standardized methodologies for interpreting this data across diverse ecosystems and integrating it with ground-based observations. The multifaceted nature of land degradation, influenced by both biophysical and socioeconomic factors, further complicates uniform measurement across ecosystems and regions. Additionally, the complex interplay of proximate and underlying drivers makes it challenging to establish a single, comprehensive global target. These challenges underscore the need for identifying a better proxy for land degradation.

Target Methodology:

Targets focused on conserving biodiversity are primarily aspirational in nature. Accordingly, we present a directional target based on SDG Target 15.3, which aims to, "by 2030, combat desertification, restore degraded land and soil, including land affected by desertification, drought and floods, and strive to achieve a land degradation-neutral world." Similarly, through its Soil Strategy for 2030, the European Union aims to reduce soil erosion by at least 30% and restore 50% of degraded soils by 2030.

Progress Assessment Methodology:

While global progress was assessed primarily following methods outlined in this technical note, some deviations were made. Because land degradation indicators experience high interannual variability due to both natural and anthropogenic causes, progress for this indicator would ideally be assessed on a ten-year time scale if more than one year of data were available.

Land degradation, defined as a state of sustained decline in the level of ecosystem services over an extended period, affects millions of hectares of agricultural land globally. This leads to the loss of fertile soil, reduced crop yields, loss of biodiversity, increased greenhouse gas (GHG) emissions and decreased climate resilience.

These impacts extend beyond just biological or economic productivity, encompassing a wide range of ecosystem services. Sustainable Development Goal (SDG) Target 15.3, which is aligned with the United Nations Convention to Combat Desertification (UNCCD), aims to combat desertification, restore degraded land and soil and strive to achieve a land degradation-neutral world by 2030.

Between 2000 and 2015, an average of 21% of global land was affected by land degradation, a proxy for agricultural land affected by land degradation. Degraded agricultural land affects the livelihoods of an estimated 3.2 billion people; economically, this costs an estimated $18-$20 trillion annually. What’s more, by 2050, land degradation and climate change are expected to reduce global crop yields by an average of 10%, with a 50% reduction in the most vulnerable regions.

Agricultural land degradation is driven by complex interactions between proximate and underlying causes. This includes unsustainable farming practices, overgrazing, deforestation, agricultural expansion and climate change. Socioeconomic factors such as population growth, poverty, and high-consumption lifestyles in developed economies, combined with rising consumption in emerging economies, also play an important role. Institutional and governance issues — including weak policies or enforcement, lack of secure land tenure, and inadequate investment in sustainable land management — further contribute to degradation.

Reducing degradation requires managing land sustainably, restoring lands into productivity and/or nature, and addressing underlying drivers through agroecological practices and improving soil health and sustainable land management. It is also important to ensure secure land rights of farmers in order to support long-term investment in land preservation and rehabilitation, as this provides incentives for sustainable management practices.

Global tracking of land degradation faces significant challenges despite the availability of various data sources. The main obstacles include the use of diverse proxies for land degradation across different studies, a lack of standardized assessment methodologies and definitions, the complex and context-dependent nature of land degradation processes, and issues with data quality and coverage. These challenges underscore the need for better coordination in data collection, analysis and interpretation to effectively track global progress in mitigating land degradation.

3044: Irrigated agriculture water use efficiency

Status: Right Direction
Target Methodology:

Agriculture is the largest consumer of freshwater globally, accounting for about 70% of human freshwater withdrawals. Improving agricultural water use efficiency — as one means of decreasing freshwater withdrawals — can deliver benefits to sustainable development and help conserve biodiversity, particularly by safeguarding surface and groundwater flows needed to sustain downstream freshwater ecosystems. Accordingly, we present a directional target aligned with SDG Target 6.4, which aims to significantly increase water use efficiency across all sectors and ensure sustainable freshwater withdrawals and supply to address and reduce water scarcity. This target encompasses improving water use efficiency in irrigated agriculture, monitored through SDG Indicator 6.4.1, which tracks changes in water use efficiency over time. It also aligns with research emphasizing the need to improve agricultural water use as part of broader efforts to maintain or restore hydrological regimes and protect freshwater biodiversity.

Progress Assessment Methodology:

Global progress was assessed primarily following methods outlined in this technical note. While water resources can experience natural variability due to fluctuations in temperature and precipitation, which may influence irrigation requirements and water use efficiency, the data doesn't reflect such variability, so we defaulted to five years of data.

Irrigated agriculture accounts for 69% of freshwater withdrawals. Improving water use efficiency in irrigated agriculture (crops, livestock and other uses) is essential to address water scarcity, which poses a significant threat to global food security and can reduce crop yields.

Enhancing water use efficiency also offers multiple co-benefits, such as reducing greenhouse gas (GHG) emissions from water pumping and distribution, improving soil health and boosting resilience to drought and climate challenges. It also leads to higher crop yields, better food security and increased economic productivity within the agricultural industry. Moreover, reducing freshwater withdrawals through improved water use efficiency can benefit freshwater ecosystems by maintaining environmental flows, reducing habitat disruption and improving water quality in downstream ecosystems.

Irrigated water use efficiency (IWUE) in agriculture is measured by value added in USD per volume of water used in cubic meters (m3). IWUE has shown continuous growth, more than doubling between 2000 and 2023. More recently, it increased by 28% between 2018 and 2022.

There is no global quantitative target for IWUE. However, Sustainable Development Goal Target 6.4 emphasizes the need to increase water use efficiency across all sectors, including agriculture, to ensure sustainable water management. Based on the rate of change from the last five years, this indicator is slowly moving in the right direction, driven by advanced irrigation technologies, improved water management practices and drought-resistant crop varieties.

To further increase efficiency, efforts should include promoting sustainable agricultural practices, such as water-efficient irrigation systems, developing more drought-resistant crops and implementing policies and incentives for water conservation in agriculture. Equitable and effective water governance structures are also necessary for implementing and sustaining efficient water use practices, ensuring fair allocation of water resources and promoting stakeholder participation in water management decisions.

3045: Freshwater withdrawal from agriculture as a proportion of available freshwater resources

Status: Right Direction
Historical Data Methodology and Challenges:

Of water withdrawals used for major economic sectors, only the agriculture sector is displayed.

Target Methodology:

Agriculture is the largest consumer of freshwater globally, accounting for about 70% of human freshwater withdrawals. Reducing freshwater withdrawals for agriculture, and thus reducing water stress, can deliver benefits to sustainable development and help conserve biodiversity, particularly by safeguarding surface and groundwater flows needed to sustain downstream freshwater ecosystems. Accordingly, we present a directional target aligned with SDG Target 6.4, which aims to significantly increase water use efficiency across all sectors and ensure sustainable freshwater withdrawals and supply to address and reduce water scarcity. This target encompasses improving the sustainability of freshwater withdrawals to reduce water scarcity, monitored through SDG Indicator 6.4.2. It also aligns with research emphasizing the need to improve agricultural water use as part of broader efforts to maintain or restore hydrological regimes and protect freshwater biodiversity.

Agriculture is the largest consumer of freshwater globally, accounting for 69% of human freshwater withdrawals. In some countries in South Asia and the Middle East, agriculture accounts for more than 90% of freshwater withdrawals.

Excessive water withdrawals for agriculture lead to the depletion of both surface water (e.g., rivers, lakes) and groundwater resources, which in turn degrade aquatic ecosystems by reducing habitat connectivity and disrupting critical life cycles of freshwater species. This depletion reduces the buffering capacity of water systems during droughts. Over-extracted aquifers do not recharge adequately during shorter rainy seasons, leaving farms without reserves during dry spells. Degraded aquatic ecosystems lose their natural capacity to regulate microclimates, increasing climate impacts on agricultural systems. Freshwater withdrawals for irrigation can also have severe impacts on freshwater biodiversity, and irrigation can disrupt environmental flows, velocity and habitats. Additionally, irrigation can potentially increase contaminant concentrations and reduce downstream water quality. These impacts highlight the critical need for improving water use efficiency in irrigated agriculture.

“Water stress” reflects the ratio of freshwater withdrawals as a proportion of the total freshwater that is considered sustainably available for use without causing significant environmental degradation or depletion of groundwater. The values presented here reflect freshwater withdrawals specifically for the agricultural sector.

Global agricultural water stress has started moving in the right direction, with a slightly negative average rate of change from 2019 to 2023. That said, nearly 13% of available freshwater resources were used for agriculture in 2023 — a figure still 8% higher than the level in 2000. Maintaining the trend of decreasing agricultural water stress will become increasingly challenging, as climate change is projected to increase irrigation water consumption and water scarcity.

There is also significant geographical variation in agricultural water stress. This disparity arises from differences in climate conditions, agricultural practices, infrastructure development and water resource availability. For instance, some countries in drier regions like the Middle East and North Africa withdrew over 100% of their available freshwater resources for agriculture in 2023, indicating reliance on unsustainable levels of extractions. Other countries withdrew at much lower rates, such as 9.7% in the United States and 1.4% in Paraguay.

The challenge for the future is to reduce freshwater withdrawals using approaches such as drip and sprinkler irrigation, implementing water-saving technologies like solar-powered soil sensors and irrigation scheduling, and shifting toward less water-intensive foods. Moreover, virtual water trade, through which food is produced in water-rich regions and exported to water-scarce areas, can help alleviate water stress and reduce unsustainable extraction. However, effective regulations and safeguards are needed to prevent overexploitation in exporting countries. Additionally, there is a need for comprehensive groundwater mapping and management, and equitable water distribution systems will need to consider both upstream and downstream users.

3046: Carbon stocks on agricultural lands

Status: Insufficient Data
Historical Data Methodology and Challenges:

An adequate global data source was not identified. The European Space Agency Climate Change Initiative provides a global raster dataset/map, which provides information on carbon stocks on agricultural land. While this dataset offers a comprehensive global aboveground biomass map at a 100–200 meter resolution, its lack of belowground biomass and soil carbon data, and limited validation in agricultural landscapes, make it inadequate for comprehensive assessments for carbon stocks in agricultural lands.

Target Methodology:

While agricultural soils can sequester carbon, the realistic potential (as opposed to technical potential) for enhanced soil organic carbon storage varies widely, and is usually lower than what is estimated due to the limited scale of adoption of practices. As a result, global 1.5 degrees C-compatible targets for soil organic carbon are not yet available, while those focused on conserving biodiversity are primarily aspirational in nature. Accordingly, we present a directional target based on the well-established body of scientific research emphasizing the need to increase carbon stocks in agricultural lands globally.

Progress Assessment Methodology:

If data were available to assess progress, some deviations from our assessment methodology would be made. Because carbon stocks experience high interannual variability due to both natural and anthropogenic causes, progress for this indicator would ideally be assessed on a ten-year time scale.

Carbon stocks encompass the total carbon stored in soil, vegetation and organic matter. However, the conversion of natural ecosystems for agriculture (cropland and pastureland) has reduced carbon stocks in plants and soils. One study estimates that land conversion to agriculture has caused losses of 116 gigatonnes of carbon in soils alone.

Enhancing carbon stocks on agricultural lands can improve soil fertility, productivity and resilience, and potentially mitigate climate change. Practices that can contribute to increases in carbon stocks include conservation agriculture (e.g., reduced tillage, crop residue retention), improved crop rotations, cover crops, agroforestry systems, and the integration of livestock with crops, diversified and multifunctional landscapes, and various soil amendment practices such as biochar application. Such practices generally have positive effects on yields, the environment and economies in low- and middle-income countries, where baseline yields are usually limited due to land degradation as well as limited adoption of technologies and use of inputs.

However, the realistic potential (as opposed to technical potential) for enhanced soil organic carbon storage varies widely, and is usually lower than what is estimated due to the limited scale of adoption of practices. The variation in realistic potential is due to differences in technical potential, socioeconomic barriers to adoption of practices that enhance carbon stocks, and challenges related to soil carbon persistence.

Additionally, while these practices can improve carbon stocks and biodiversity on individual farms, they may lead to trade-offs with agricultural productivity at larger scales, potentially resulting in carbon and biodiversity losses elsewhere if lower yields lead to increased land conversion for agriculture. It is therefore necessary to take a holistic approach and consider landscape-level impacts when implementing carbon-enhancing practices. Enhancing carbon stocks often aligns with improving overall soil health, which encompasses factors such as soil structure, biodiversity, nutrient cycling and water retention.

The lack of comprehensive data on agricultural carbon stocks hinders effective monitoring and decision-making. Monitoring, policies, financial support and knowledge-sharing can incentivize farmers and land managers to adopt practices that help enhance carbon stocks on agricultural lands while sustaining food production.

3047: Agroforestry, as measured by tree cover on agricultural land

Status: Insufficient Data
Historical Data Methodology and Challenges:

Agroforestry data from 2000 to 2010 was collected from World Agroforestry Center’s working paper “Trees on farms: an update and reanalysis of agroforestry’s global extent and socio-ecological characteristics.” No data for 2010 onwards has been identified, hence it is marked as having insufficient data. The available analysis also has several important limitations. The data is based on remote sensing with 1 kilometer resolution, which may not detect smaller patches of trees or scattered trees, and the tree cover threshold used (10%) may exclude some agroforestry systems with lower tree density. The study focuses on tree cover and does not explicitly include shrubs. Additionally, the data cannot distinguish between intentional agroforestry practices and natural tree cover on farmland. Therefore, while the analysis provides valuable insights into global agroforestry extent between 2000 and 2010, it likely underestimates total agroforestry coverage due to resolution limitations and the exclusion of certain agroforestry types. The lack of data after 2010 also limits understanding of more recent trends. Improved data collection methods and regular monitoring are needed to more accurately assess global agroforestry extent and changes over time.

Target Methodology:

While agroforestry systems can sequester significant amounts of carbon, global estimates of mitigation potential can vary greatly due to the complexity of agroforestry systems. As a result, global 1.5 degrees C-compatible targets for the number of trees per hectare of agricultural land are not yet available, while those focused on conserving biodiversity are primarily aspirational in nature. Accordingly, we present a directional target informed by research aiming to promote the integration of trees into existing agricultural landscapes in a manner that enhances ecosystem services and biodiversity while maintaining or improving food production.

Progress Assessment Methodology:

Global progress was assessed primarily following methods outlined in this technical note. The most recent data available for this indicator is from 2010. As a result, an assessment of recent progress is not possible and the status is marked as “insufficient data.”

Agroforestry is the intentional integration of trees and shrubs into crop and animal farming systems on the same land management unit, with the aim of diversifying and sustaining production for increased social, economic and environmental benefits.

Agroforestry systems offer multifunctional benefits, including improved climate resilience through enhanced soil water retention and microclimate regulation, enhanced carbon stocks, enhanced biodiversity conservation and increased food security by diversifying food sources and income streams. These benefits are particularly significant for smallholder farmers, as agroforestry can provide additional income sources, improve nutrition and increase farm resilience to climate shocks. Additionally, agroforestry systems can sequester significant amounts of carbon, though global estimates of mitigation potential can vary greatly due to the complexity of agroforestry systems, combined with methodological differences, data limitations and geographical variations.

The global tree cover on agricultural lands — a proxy for agroforestry — was approximately 7% in 2015, according to one estimation. Another estimate found that global tree cover on agricultural land increased by 5% between 2000 and 2010. There is considerable regional variation, with the highest tree cover on agricultural land in 2010 in Central America (35%), followed by Southeast Asia (34%) and South America (20%), while North Africa and Western Asia have the least (5.3%).

Agroforestry is a traditional practice in some regions, including Central and South America, sub-Saharan Africa and Southeast Asia, where adoption rates are highest and the potential benefits for yield improvements and sequestration are greatest. However, in already-intensified production systems in high-income countries, evidence for the economic benefits of agroforestry systems is lacking and there may be mixed effects on food production.

The drivers of these potential impacts are complex, involving factors such as land-use policies, economic incentives and the adoption of more intensive agricultural practices. To improve the adoption of agroforestry, it will be necessary to develop supportive policies and incentives, promote agroforestry education and training, and integrate agroforestry into national climate change strategies.

Key enablers and barriers to change

2974: Investment in research and development for climate-smart, sustainable agriculture

Investments in research and development (R&D) for climate-smart, sustainable agriculture are vital for enhancing productivity, reducing greenhouse gas (GHG) emissions and improving climate resilience. These investments may cover a wide variety of issues and potential interventions: precision farming, feed additives for methane reduction, improved animal and crop breeding, improved manure management, irrigation/cultivation practice changes to reduce rice methane, agroforestry, soil carbon sequestration, drought-tolerant crops and more.

One analysis estimates that an increase in agricultural R&D funding by $4 billion annually, coupled with $6.5 billion per year for the implementation of technical climate-smart solutions, could lower hunger to 5% globally by 2030, as compared to to 12% in 2010, while aligning with 1.5 degrees C pathways. However, the lack of comprehensive data on global R&D investments for climate-smart agriculture remains a significant challenge. Improved data collection and reporting are essential for informed policy decisions.

To improve the quantity and quality of climate-smart agriculture R&D funding, especially in regions where it is limited, various measures are required. These may include increasing government investment, creating incentives for private companies, targeting smallholder-focused solutions, strengthening local research capacity and promoting regional collaboration. It is also integral to align research with local needs, diversify funding sources through innovative financing mechanisms, and improve data collection and transparency.

2975: Investment in research and development for sustainable aquaculture intensification

Increasing the efficiency of aquaculture production through sustainable intensification is necessary to meet the growing global demand for seafood while minimizing environmental harms associated with aquaculture production. However, aquaculture intensification is constrained by a number of factors, including the spread of infectious disease and high cost of inputs such as feed ingredients, some of which may be mitigated by ensuring intensification occurs in a sustainable way.

Greater investments in research and development (R&D) will be integral in addressing these challenges. For instance, R&D could improve genetic breeding, husbandry practices, wastewater treatment, and diagnostics and vaccines to detect and curb disease spread. R&D could also be used to develop alternative feed ingredients and explore opportunities for improving environmental impacts by shifting to alternative methods of aquaculture production, such as integrated rice-fish production systems. 

Global spending on R&D for sustainable aquaculture intensification is not consistently tracked. Some research has explored the expansion of funding for aquaculture R&D in industrialized countries such as Norway and the United States. By contrast, many low-income countries, such as those in sub-Saharan Africa, have limited resources and capacity to invest in aquaculture R&D, hindering the development and adoption of sustainable intensification practices and technologies.

2976: Countries with soil information systems

Historical Data Methodology and Challenges:

The data was derived by tallying the number of countries with soil information systems from the FAO SOILS PORTAL database, then dividing it by the total of UNFCCC’s 198 countries.

A national soil information system is a database and platform that organizes and provides essential data on soil properties, quality and trends. It can facilitate informed decisions on land use, climate adaptation and environmental protection, including optimizing agricultural productivity, managing water resources, assessing ecosystem services and informing climate change adaptation strategies.

Simultaneously, the comprehensive soil data collected in these systems supports improved agricultural practices, efficient water management and enhanced ecosystem services, thereby boosting productivity, food security and climate resilience. It plays a critical role in assessing and monitoring global soil-based climate change mitigation potential.

Global initiatives like the Global Soil Partnership and The International Network of Soil Information Institutions collaborate across countries to establish comprehensive soil databases. The Global Soil Partnership, for instance, aggregates salt-affected soils data from more than 110 countries spanning nearly 260,000 locations.

Despite these efforts, many countries lack robust soil data and monitoring systems, limiting their ability to make informed land management decisions. As of 2024, only 13% of countries had well-developed soil information systems. However, these countries — which include major agricultural producers like Australia, Brazil, Russia and the United States — represent a significant portion of global agricultural land.

While the capabilities of each system vary, some advanced soil information systems may track changes in soil carbon stocks, potentially providing valuable data for monitoring changes in agricultural land carbon stocks globally. More research is needed to determine the extent and consistency of such tracking across these systems.

To enhance soil information systems globally, it will be necessary to increase funding for soil data collection and analysis, strengthen national and regional soil networks, and foster international collaboration and data-sharing initiatives. Soil data should be integrated into decision-making processes and stakeholders will need to promote awareness and capacity building in sustainable land management practices.

2977: Access to veterinary service providers, as measured by the number of veterinary service providers per capita

Insufficient veterinary services significantly impact the productivity and efficiency of animal-sourced food production, with implications for food security, livelihoods and greenhouse gas (GHG) emissions from livestock. Diseases among animals, such as clinical mastitis, can also increase the GHG emission intensity of animal-sourced foods.

Currently, there are no publicly available datasets that track access to veterinary service providers globally. A few available data points illustrate that there is substantial geographic variation, with countries such as Canada, the United Kingdom and United States having 34, 49, and 53 veterinary service providers per 100,000 people, respectively, while sub-Saharan African countries have a much lower rate of 7.4 veterinarians per 100,000 people.

Underserved areas — which often have the lowest dairy and ruminant meat productivity — also present the greatest potential for mitigation and productivity gains through improved animal health services. Initiatives should focus on training, attracting and retaining veterinary professionals, improving service distribution and integrating veterinary care into broader health and agricultural systems. Innovations such as digital technologies and telemedicine can further extend veterinary services' reach, particularly in remote and underserved areas.

2978: Market access, as measured by the rural population who live within two kilometers of an all-season road

Historical Data Methodology and Challenges:

This indicator aligns with UN Sustainable Development Goal (SDG) Indicator 9.1.1. It is tracked by the World Bank’s Rural Access Index using data on population distribution from WorldPop or national censuses, along with data on road location and quality from national road agencies. Because national road condition surveys are only updated every three to five years, this indicator will be updated on a similar timeframe. As of 2024, this indicator had only been calculated for 29 countries, most of which had only one data point thus far.

The share of the rural population who live within two kilometers of an all-season road serves as a proxy for the level of connectivity rural inhabitants have to markets, services and economic opportunities. Improved road access can enhance agricultural productivity by reducing transportation costs, facilitating access to inputs and technologies, and enabling farmers to sell their produce in larger markets. This improved market access can incentivize farmers to increase productivity and adopt more efficient farming practices.

As of 2024, the World Bank had assembled data on the Rural Access Index (RAI), an index that measures access to transportation in rural areas, for only 29 countries, mostly in Africa and the Middle East. For most countries, data is available only for a single year between 2009 and 2022, so the measurements are not necessarily comparable across countries. The reported share of rural population living within two kilometers of an all-season road varies substantially, ranging from 18% in Lesotho (2016 data) to over 99% in the United Arab Emirates (2021 data). Similarly, a global map of travel time to cities (which are usually the market centers and thus serve as an indicator for market accessibility) revealed that only 51% of people in low-income countries live within an hour of a city, as compared to 91% of people in high-income countries.

Lack of access to all-season roads is closely linked to challenges in climate change adaptation, as it also negatively impacts economic resilience and the efficiency of disaster response and relief efforts. Limited access to all-season roads also impedes access to health services and limits the adoption of climate-smart agricultural practices.

However, the impact of road improvements on agricultural outcomes is complex. While some studies show positive effects on agricultural production overall, others showed limited or context-dependent impacts. Moreover, road access sometimes drives deforestation and land-use changes, creating environmental trade-offs that may undermine long-term sustainability. These varying outcomes highlight the importance of considering local conditions and complementary factors when assessing the impact of road infrastructure on agricultural productivity.

Given the limited coverage and lack of time series data, there is a clear need for more comprehensive and consistent data collection to effectively measure road access over time and across a broader range of countries.

2979: Rural population with access to electricity

Historical Data Methodology and Challenges:

Rural data was extracted from SDG 7.1.1 Proportion of population with access to electricity, by urban/rural (%).

Access to electricity plays an important role in enhancing agricultural productivity, improving livelihoods and increasing resilience to climate change in rural areas.

Electrification enables farmers to adopt technologies that can significantly boost farm efficiency and output. For example, electric water pumps allow for more reliable irrigation. Mobile phones and computers provide farmers with access to vital information and services, including farming advice and market information, which has been shown to increase agricultural yields by 4% in Africa and India. Early warning systems for extreme weather events, digital financial services, and smart farming technologies, such as precision farming, are other examples of how electrification and digitalization can transform agriculture.

Access to electricity remains limited in many rural areas, particularly in some countries in Africa, such as Angola, Equatorial Guinea and the Democratic Republic of the Congo. However, there has been significant progress globally — the share of the global rural population with electricity access increased from 67% in 2000 to 84% in 2024.

To ensure universal access to electricity by 2030, significant investments in grid expansion and decentralized renewable energy solutions will be essential. Additionally, targeted policies to support affordability and accessibility, especially in remote rural areas, will be important. Integrating energy access with agricultural development and climate change adaptation strategies can help unlock the full potential of rural electrification to drive sustainable and equitable development.

2980: Mobile cellular subscriptions

Mobile phones provide farmers with access to critical information, resources and technologies for enhancing agricultural productivity and resilience. For example, digital extension and price information systems can modestly improve crop yields and increase uptake of crop recommendations and farmer profits. Mobile-based services can also deliver timely weather forecasts and early warning systems for extreme events, enabling farmers to make informed decisions about planting, harvesting and protecting their crops. Additionally, mobile money services can facilitate financial inclusion and quick transfers of funds during emergencies.

The number of global mobile cellular subscriptions per 100 individuals has shown a consistent upward trend over the last decade, increasing more than threefold between 2005 and 2025. This surge has been notable in the least developed countries, where subscriptions per 100 people rose from 5 in 2005 to 86 in 2025.

However, the distribution of mobile connectivity remains uneven, with significant disparities between regions not only in mobile phone penetration, but also in the services offered such as download speeds. Additionally, even where mobile coverage exists, many smallholder farmers cannot afford to purchase data plans or smartphones capable of running agricultural applications, limiting their access to potentially beneficial mobile-based agricultural information and technologies.

Addressing these gaps and ensuring equitable access to mobile technologies will be necessary to unlock the full potential of digital solutions in supporting sustainable agriculture and climate change adaptation.

2981: Access to improved irrigation technologies, as measured by the extent of irrigated land

Historical Data Methodology and Challenges:

Geospatial data from the Global Map of Irrigation Areas was used to calculate the total area equipped for irrigation. We used the “intersection” and “statistics by categories” tools in QGIS to aggregate irrigated areas based on spatial and categorical attributes.

Improved irrigation technologies encompass modern systems like drip irrigation and sprinklers, precision irrigation with sensor-based control, and the use of information and communication technologies to advance efficient water management. These methods aim to enhance water use efficiency, minimize waste and improve agricultural productivity, ultimately contributing to sustainable water resource management and food security.

This indicator uses the extent of irrigated cropland as a proxy for access to improved irrigation technologies. In 2018, there were 350 million hectares (Mha) of irrigated land globally. Research suggests an increasing trend of total area under irrigation. According to one study, from 2000 to 2015, the area equipped for irrigation increased by 11%, from 297 Mha to 330 Mha. In the United States, a 71% increase in the use of drip irrigation between 1998 and 2018 contributed to a 10% increase in irrigated cropland in Arizona, despite a reduction in water use. Similarly, the adoption of irrigation technologies in India has significantly increased the total irrigated land area, growing from 39% of total cultivated land in 2000-01 to 56% in 2022-23.

However, there are significant variations between regions in the use of irrigation technologies. In 2023, Asia had the largest irrigated area at 270 Mha, which accounted for 39% of its total cropland area. In comparison, about 17% of North America's total cropland area was irrigated, followed by 16% in South America, 11% in Europe, 10% in Africa and 9% in Oceania.

Several key factors influence irrigation expansion and adoption. These include climate conditions like rainfall, water availability, soil characteristics, crop water requirements, technological advancements, economic factors like market demand, government policies and investments in irrigation infrastructure, and farmers' socioeconomic characteristics (e.g., farm size, education, access to credit).

The need to adapt to climate change and mitigate its impact on agricultural production will likely also drive an increase in the adoption of irrigation technologies. However, improved irrigation technologies, when combined with certain policies, can lead to unintended consequences like the overexploitation of groundwater resources. Policies and stakeholders need to take holistic approaches to sustainably incentivize the use of efficient technologies.

2982: Access to early warning systems, as measured by the population living in countries with early warning systems

Historical Data Methodology and Challenges:

Data from the UN Office for Disaster Risk Reduction (UNDRR) assessed the global coverage of multi-hazard early warning systems (MHEWS) by counting the number of countries with such systems in place each year. This indicator captures countries that have made progress in at least one of the four pillars of MHEWS (risk knowledge, observations and forecasting, warning dissemination and communication, and preparedness to respond). Using World Bank population data, the proportion of the global population covered by these systems was calculated annually by summing the populations of countries with early warning systems and dividing it by the total global population.

The UNDRR does not explicitly mention whether the MHEWS data includes traditional and/or Indigenous methods; however, it emphasizes (pg. 132) that local, traditional and Indigenous knowledge “is fundamental to the successful implementation of each element/pillar of MHEWS.” Systems Change Lab acknowledges the importance of traditional and Indigenous knowledge and will continue to monitor the availability of MHEWS data that explicitly incorporates this knowledge.

Climate impacts will increasingly threaten farmers' abilities to sustain crop yields and livestock productivity in the coming decades. Developing early warning systems that can identify and warn about droughts, floods, hurricanes and other hazards — alongside other anticipatory actions such as prearranged financial payments — can help farmers adapt to these events, building climate resilience. This is especially critical for vulnerable communities, including pastoralists and Indigenous people in least developed countries (LDCs). In 2022, the Early Warnings for All initiative was launched by the United Nations Secretary-General with the ambitious goal of protecting every person on Earth through early warning systems by 2027.

The share of the world’s population living in countries that have multi-hazard early warning systems in place has increased in recent years, from 44% in 2015 to 58% in 2022. However, there are stark regional disparities in early warning system development. LDCs in Africa and Asia face the greatest challenges in establishing effective multi-hazard early warning systems. Given these countries’ overdependence on agriculture and natural resources, they are disproportionately exposed to agriculture-specific climate risks, making the lack of effective multi-hazard early warning systems a significant limitation.

Addressing these gaps will require increased investment, capacity building, and collaboration between national governments, international organizations and local communities. It is also necessary to improve the generation and dissemination of risk information and ensure the systems are inclusive and accessible to all. Integrating traditional and Indigenous knowledge into early warning approaches can also enhance their relevance and effectiveness for local communities.

2983: Plant genetic resources for food and agriculture secured in medium- or long-term conservation facilities

Plant genetic resources for food and agriculture, including seeds and tissues stored under controlled conditions, support plant breeding and seed distribution efforts to enhance crop resilience against climate change impacts and other risks. This helps to ensure food security and preserve biodiversity.

The number of plant genetic resources conserved under medium- or long-term storage provides a measure of managed genetic diversity. Globally, resources in such facilities increased from 3.1 million in 1995 to 5.9 million in 2022, housed in various national, regional and global gene banks. This represents significant progress toward conserving the estimated 10 million accessions that can be collected with increased effort. The International Treaty on Plant Genetic Resources for Food and Agriculture facilitates global exchange and fair benefit-sharing of these resources among its 131 member parties.

However, although the quantity of conserved resources has increased, there are concerns about the quality and diversity of these collections. Some important crop varieties and wild relatives are underrepresented, and current efforts exclude some plant species that have potential use for agriculture and food. Additionally, these expanding efforts may still be insufficient to meet the growing demands for diverse genetic resources in crop breeding programs. Sustaining the existing collections also poses challenges like financial uncertainty and genetic erosion risks.

To enhance genetic resource conservation, several key actions are essential. These include broader collection efforts, stronger conservation capacities, sustainable resource use, capacity building, policy alignment and increased funding. That increased funding will need to enable both initial investments in conservation facilities and long-term support for their operation and maintenance, which has been a challenge especially in developing countries.

It is also important to support and expand community seed banks, especially in developing countries. These local initiatives play an increasingly important role in conserving genetic diversity and maintaining traditional knowledge at the grassroots level.

2984: Animal genetic resources for food and agriculture in medium- or long-term conservation facilities

Historical Data Methodology and Challenges:

This indicator was calculated by aggregating two categories of FAO’s dataset to track progress toward Sustainable Development Goal (SDG) indicator 2.5.1.b: "Number of local breeds for which sufficient genetic resources are stored for reconstitutions," and "Number of transboundary breeds for which sufficient genetic resources are stored for reconstitutions.”

Animal genetic resources include those from domesticated livestock species and their wild relatives. Conserving these resources in medium- to long-term facilities is vital for maintaining genetic diversity and adapting agricultural and food production to environmental changes, including climate variability.

The quantity of animal genetic resources secured in such facilities gauges the resilience and diversity of livestock populations critical for sustainable agriculture and food security. The number of local and translocal animal breeds for which sufficient genetic resources are stored for reconstitutions globally increased considerably, from roughly 280 in 2019 to 1,800 in 2024.

Insufficient conservation poses potential risks, such as increased vulnerability to diseases and environmental stresses, reduced productivity and higher greenhouse gas emissions (for instance, from cattle). As of 2024, adequate storage existed for only 2.9% of local breeds and 16% of transboundary breeds in North America and Europe. Similarly, Eastern and Southeastern Asia store enough for 3.8% of local breeds and 12% of transboundary breeds. The figures were lower in sub-Saharan Africa, where the genetic resources of only 2.3% of local breeds and 8.0% of transboundary breeds were adequately stored.

Addressing this gap requires substantial investments in conservation infrastructure, capacity building, and policy and legal frameworks to support conservation efforts and regulate access to genetic resources. Global cooperation is also necessary to ensure equitable benefits and safeguard Indigenous knowledge and traditional breeds.

2985: Non-agricultural employment opportunities, as measured by the share of non-agricultural employment out of total employment

Historical Data Methodology and Challenges:

Data is calculated by dividing the total number of workers in agriculture by the total working population, then subtracting the resulting percentage from 100%.

Farmers across the globe face various challenges that may lead to abandoning farming or being displaced from their land. In Africa and Asia, for instance, average farm sizes tend to decrease over time due to land fragmentation, then risk becoming economically unviable. Elsewhere, larger farms emerge as agriculture becomes more commercialized, contributing to the displacement of smallholder farmers. Factors such as climate change impacts, economic pressures and urbanization further drive farmers away from agriculture in both developing and developed countries.

Providing displaced farmers and farmers who abandon farming voluntarily with opportunities for high-quality employment in non-agricultural sectors can support rural economic resilience in the face of climate change and other pressures. Additionally, without viable alternatives, farmers may continue cultivating infertile and degraded areas, risking the further degradation of already-vulnerable lands and exacerbating environmental issues, poverty and food insecurity.

There is limited data on the proportion of farmers who secure employment in other sectors after leaving farming. Therefore, we use as a proxy the share of non-agricultural employment out of total employment, sourced from ILOSTAT. Globally, non-agricultural jobs represented 79% of total employment in 2023, a number that has remained fairly consistent over the past five years. Most sub-Saharan African and Southeast Asian countries had the lowest shares of non-agricultural employment, suggesting that they had fewer opportunities for employment available outside of farming. Critically, this data does not speak to the quality of these non-agricultural jobs.

Data gaps make it difficult to assess progress in this indicator, but studies highlight the challenges smallholder farmers face when transitioning to non-agricultural sectors, especially in developing countries with limited alternative industries and job opportunities. Supporting this transition requires holistic interventions, such as investing in education and vocational training, upgrading rural infrastructure (including transportation, communication networks and energy systems) and enacting policies that stimulate diverse industries in rural areas.

2986: Amount of government spending on agricultural insurance payments among OECD members and select other countries

Historical Data Methodology and Challenges:

OECD agricultural policy data on “Producer Support Estimates (PSE)” and “General Services Support Estimates (GSSE)” was reorganized into the categories outlined in Table 3.1 (p.17) in the World Bank report Revising Public Agricultural Support to Mitigate Climate Change. Public agricultural support classified as “insurance subsidies” was categorized using a variety of keywords to reflect payments for insurance subsidies and disaster assistance programs for crops, livestock and other agricultural commodities.

This dataset reflects government agricultural insurance payments across OECD countries, non-OECD EU member states and select additional emerging economies, which together account for nearly two-thirds of the world’s agricultural production output. The countries included are Argentina, Australia, Brazil, Canada, Chile, China, Colombia, Costa Rica, countries in the European Union, Iceland, India, Indonesia, Israel, Japan, Kazakhstan, Korea, Mexico, New Zealand, Norway, the Philippines, Russia, South Africa, Switzerland, Turkey, Ukraine, United Kingdom, United States and Vietnam.

Agricultural insurance helps mitigate risks faced by farmers during extreme weather events that impact their crops and other commodities. This in turn helps promote the adoption of risk-mitigating technologies and resilient production practices. By reducing financial risk and facilitating access to credit, insurance allows farmers to make more confident investments and try new methods that could lead to higher yields. For instance, research from China indicated a positive impact of crop insurance on agricultural productivity across provinces from 2004 to 2018. Relatedly, research from India found that agricultural insurance increased farmers’ economic well-being.

However, the effectiveness of agricultural insurance varies across different regions and types of insurance programs, and if managed poorly, it can have unintended consequences. For example, a study in the United States found out that higher crop insurance participation rates were associated with a heightened yield variability and greater susceptibility to drought, likely driven by the expansion of agricultural activities onto lower-quality farmland and changes in input usage. There are also potential environmental trade-offs, such as increased water use, that need to be considered. The design and implementation of agricultural insurance programs should be tailored to local conditions to maximize benefits and minimize negative impacts.

Government agricultural insurance payments in OECD countries and select additional countries, which together account for nearly two-thirds of the world’s agricultural production output, increased from $3 billion in 2000 to $24 billion in 2021 (in nominal terms). Despite such an increase, agricultural insurance remains insufficient. For crop production specifically, approximately 60% of globally insurable crop production lacks protection, creating a crop protection gap estimated at $110 billion as of 2022.

Addressing this gap requires substantial increases in public support for agricultural risk management tools, particularly in developing regions, where access to agricultural insurance remains critically limited. Moreover, there are significant methodological challenges in accurately measuring agricultural risks, which can impact the ability of insurance companies to properly assess premiums and make claim payments. These measurement difficulties contribute to the complexity of expanding insurance coverage, especially in regions with limited historical data or rapidly changing climate conditions.

2987: Climate finance dedicated to agriculture, forestry and other land uses

Historical Data Methodology and Challenges:

Annual data presented in the figures represents the sum of four estimates of climate finance for the agriculture, forestry and other land uses sector: mitigation-focused finance, adaptation-focused finance, finance that achieves dual benefits, and remaining finance that cannot be placed into one of these three categories. This data includes finance from both public and private sources.

The amount of climate finance dedicated to supporting the deployment of climate-smart, sustainable agricultural production technologies and practices remains small and insufficient relative to the need and mitigation potential.

While innovations are urgently needed, many gains in productivity could be achieved with existing technologies and practices, such as improved soil and water management practices, seeds, livestock health and animal management. Similarly, many reductions in greenhouse gas (GHG) emissions and environmental harms could be achieved with existing techniques, like solid separation systems for managed manure and precision fertilizer application.

The total climate finance for agriculture, forestry and other land uses (AFOLU) includes local, national and transnational financing — drawing from public, private and alternative sources — that supports mitigation and adaptation actions addressing climate change.

Climate funding for AFOLU rose more than threefold between 2019 and 2022, from $13 billion to about $45 billion. Much of the reported increase, however, is primarily due to improved data collection rather than a significant rise in funding. Current climate financing for AFOLU remains far below levels required to meet the Paris Agreement’s 1.5 degrees C target. The IPCC estimates that annual investment in AFOLU mitigation must reach between $100 billion and $300 billion by 2030, and rise to over $400 billion annually by 2050. A more recent analysis by Climate Policy Initiative estimates even higher needs of $1.3 trillion per year by 2030 for AFOLU mitigation alone.

Evidence suggests only a small portion of climate finance goes to agriculture and food systems specifically. According to one estimate, in 2020, just 4.3% (approximately $29 billion) of tracked total climate finance went to agriculture and food systems.

Current investment levels are insufficient and unevenly distributed. According to one estimate for 14 countries in sub-Saharan Africa, only 2% of annual investment needs were met for climate-smart agriculture financing. This underinvestment hinders technology adoption in vulnerable regions, potentially reducing productivity, increasing food insecurity and missing significant opportunities to lower emissions.

Furthermore, what financing is available often fails to reach vulnerable smallholder producers. A 2023 study found that only 0.3% of global climate financing reached family farms and just 0.8% went to smallholder farmers, who face a combined annual shortfall of approximately $170 billion. Rather than growing to meet the need, climate financing for these farmers, especially in low- and middle-income countries, declined by 44% between 2017-2018 and 2019-2020.

2988: Agricultural subsidies with conservation or climate objectives, as measured by public agricultural support for conservation, production retirement and other public goods across OECD members and select other countries

Historical Data Methodology and Challenges:

OECD agricultural policy data on “Producer Support Estimates (PSE)” and “General Services Support Estimates (GSSE)” was reorganized into the categories outlined in Table 3.1 (p.17) in the World Bank report Revising Public Agricultural Support to Mitigate Climate Change. The percent of agricultural support spent on conservation, production retirement and other public goods (referred to as spending for “conservation and climate objectives” for simplicity here) was divided by total PSE and GSSE spending. Spending classified within the conservation and climate objectives category here includes spending on agri-environmental-climate schemes and other programs to encourage environmentally-friendly production practices, such as improving nutrient or pest management, irrigation efficiency, water and soil conservation, and biodiversity preservation. Examples of specific programs in the European Union (EU), United States and China are listed on p.20 of the Revising Public Agricultural Support to Mitigate Climate Change report.

This dataset reflects government support to the agricultural sector across OECD countries, non-OECD EU member states and select additional emerging economies. The countries included are Argentina, Australia, Brazil, Canada, Chile, China, Colombia, Costa Rica, countries in the EU, Iceland, India, Indonesia, Israel, Japan, Kazakhstan, Korea, Mexico, New Zealand, Norway, the Philippines, Russia, South Africa, Switzerland, Turkey, Ukraine, United Kingdom, United States and Vietnam. Therefore, a limitation of this indicator is that the “world” calculations do not reflect all countries.

Globally, over $800 billion annually in government support is directed to agricultural producers and general agricultural sector services through subsidies and other incentives. However, many current agricultural subsidies negatively impact the environment and public health. Subsidies can encourage overproduction and market distortion, excessive use of fertilizers and pesticides, and expansion of agriculture into ecologically sensitive areas. They may also distort global markets, disadvantaging farmers in developing countries.

To incentivize sustainable agriculture, promote food security and benefit the environment, governments can condition financial support on the protection of forests and other ecosystems, and reward farmers for more sustainable practices. Doing so may result in short-term productivity decline for some farmers, as production-linked subsidies hinder agricultural labor productivity growth by distorting market incentives. This may in turn spur farmers to prioritize subsidized crops or livestock over efficiency-enhancing technologies or practices.

Several other similar policy approaches can help to minimize environmental trade-offs of resulting increases in agricultural productivity. These policies include, for example, Payments for Ecosystem Services (PES) programs, targeted subsidies for sustainable farming practices, and rewarding farmers for achieving specific ecological goals. Additionally, cross-compliance mechanisms can link support to environmental standards, diversification support encourages farmers to grow a variety of crops, and market access programs for smallholder farmers help smaller operations compete.

Globally, changing public agricultural support remains an underutilized lever for aligning food systems with climate and biodiversity targets. Across the countries with available data, which include OECD countries and select additional countries that together account for nearly two-thirds of the world’s agricultural production output, only 5.2% of public agricultural support was dedicated to conservation or climate objectives in 2023. Greater adoption of such subsidies will require reforming existing policies, better incentivizing farmers to participate, and in some cases, overcoming political resistance.

2989: Access to credit, as measured by the adult population that borrowed money from a financial institution

Historical Data Methodology and Challenges:

Data was sourced from the Global Findex Database 2025 indicator: “Borrowed any money from a formal bank or similar financial institution, using a credit card, or using a mobile money account (%, age 15+).” Data for demographic groups are also shown by gender (men, women), income (poorest 40% and richest 60% of adults within each country), and by settlement (rural and urban).” Data is available for 2014, 2017, 2021 and 2024; 16 economies were surveyed in 2022 instead of 2021; settlement data is for 2024 only. The Findex Database did not report on data for this indicator for most high-income countries in 2024. Data is updated every three years. The World Bank defines the adult population as over the age of 15.

A key limitation of relying on this data is that access to credit, broadly, may influence the land sector, but the data does not specifically measure access to credit and borrowing practices for adopting climate-smart agricultural practices. Rather, this data assesses overall borrowing, which can vary. For instance, a country may score high in terms of access to credit, but little to none of this is invested in climate-smart agricultural practices. In contrast, another country may score minimally on overall access to credit but have significant borrowing toward climate-smart agricultural practices, especially if the right incentives are in place.

Research consistently shows a positive link between access to credit and the adoption of climate-resilient and generally sustainable agricultural technologies and practices. Credit enables farmers to afford up-front investments, expensive inputs, higher implementation costs and longer payback periods associated with productive and climate-smart, sustainable agriculture and aquaculture. In the absence of credit, farmers often keep more of their assets liquid to ensure they can access them in case of need, a situation which can limit their ability to invest in productivity-enhancing technologies or practices.

Credit availability can thus allow farmers to allocate their resources more efficiently. For example, research on crop price insurance loans, rainfall index insurance and free savings accounts in Ghana, India and Malawi found that these interventions helped farmers make productive investments, manage weather-related shocks and protect their incomes from climate variability, thus enhancing their adaptive capacity and resilience.

While excessive debt in a household can lead to high interest payments, the widespread use of lending services can be associated with increased access to financial options available to producers to support the adoption of productive and climate-smart agricultural practices or technologies. This indicator tracks loans from formal financial institutions such as banks. Local financing institutions and mechanisms, like village savings and loan associations, also serve as important sources of financing, especially when formal financial institutions are difficult to access. These disparities stem from economic differences, limited institutional capacity and cultural norms, particularly affecting women, Indigenous people and rural communities.

Across low- and middle-income countries, the share of adults borrowing formally from a financial institution has risen in the last ten years, increasing from roughly 15% in 2014 to 24% in 2024. However, this figure varies widely across regions, as well as by gender and income level.

The share of adults borrowing formally from a financial institution offers a proxy for measuring access to credit, although it cannot distinguish access specifically for producers as opposed to all adults.

2990: Countries with at least one policy, law or regulation restricting agricultural land expansion into terrestrial ecosystems

Among the many threats that terrestrial ecosystems face, conversion to pasturelands and croplands are among the most significant. According to the most recent estimates, agricultural expansion drove at least 90% of tropical deforestation between 2011-2015, primarily for the expansion of pasturelands for raising cattle. Similarly, expansion of croplands and pasturelands continue to threaten the world’s grasslands, savannas and shrublands, while overgrazing of livestock spurs additional degradation.

Modeling studies and observations from multiple countries suggest that minimizing agricultural expansion both through demand-side shifts and by linking yield gains with ecosystem protection has the greatest potential to safeguard aboveground, land-based carbon stocks, while also feeding a growing population.

Passing legislation that restricts agricultural expansion into natural ecosystems represents an important lever for change; however, if pursued in isolation, such laws could have harmful impacts on farmers’ livelihoods and food security. Governments can support sustainable intensification to ensure that farmers are supported in increasing crop yields and ruminant meat productivity per hectare to avoid the need to expand to increase profits.

Governments should also consider adopting complementary policies that can support farmers in transitioning to more sustainable practices — such as by investing in crop breeding, incentivizing the adoption of new livestock feeds to reduce methane emissions, and encouraging improvements in soil and water management (e.g., fertilizer micro-dosing or rainwater harvesting). Common to all of these is the need for more investment in research and development of climate-smart, sustainable agriculture, given that many countries currently lack commercially available technologies and practices to effectively increase yields, reduce greenhouse gas emissions and minimize environmental harms.

Other regulatory frameworks that can incentivize climate-smart agriculture, though not included in our list of enablers, are being tracked in other Systems Change Lab initiatives. These include promoting agricultural waste management and advancing circular economy practices, forest protection and maintenance regulations, policies to preserve permanent grasslands and ecological focus areas, and initiatives to convert fragile croplands to forests or grasslands. Additional measures include moratoriums on land conversion, zoning regulations for ecologically sensitive regions, certification schemes for sustainable practices, and chain-of-custody certification for food and land-use commodities.

2991: Countries with policies supporting sustainable intensification and environmental protection associated with aquaculture production

Historical Data Methodology and Challenges:

Although no data is presented for this indicator, two databases are being considered for a future update: the National Aquaculture Legislation Overview database, which contains aquaculture legislation for 66 countries, and the Countries' Agri-Environmental Policies Database, which contains national policies with aquaculture references for 26 countries.

Most farmed fish and shellfish have relatively low environmental impacts, including a lower land use footprint per kilogram, than other animal-source foods (especially ruminant meat). Thus, if aquaculture production is expanded carefully to reduce ecosystem conversion and meet growing demands, it still offers an opportunity to reduce land use demands in net. Halting ecosystem conversion for aquaculture expansion will require reversing policies that incentivize expansion into high-carbon, biodiverse ecosystems and adopting policies that support sustainable intensification and environmental protection. Simultaneously, countries must balance environmental regulations with aquaculture growth goals.

Public policies that can advance more sustainable aquaculture development may include laws prohibiting ecosystem conversion for aquaculture, as well as other regulatory measures, plans and funding priorities to shape the aquaculture industry. For example, national aquaculture development plans can ensure that aquaculture is done in line with zonal management principles and emerging guidelines for sustainable aquaculture. Regulations can reform the fish-based feed industry in order to prioritize direct human consumption of fish and therefore limit harms to local livelihoods and food security.

Aquaculture policies differ substantially across countries. One study found that strict environmental regulations in Europe, the United States and Oceania have led to relatively limited aquaculture growth in output and revenue (with the exception of Norway), while countries in Africa, Latin America and Asia generally have less stringent policies. That said, some countries in these regions have begun to introduce stronger environmental protections, including disease control measures important for sustainable intensification (e.g., in Chile) and restrictions to protect coastal ecosystems (e.g., in China).

A longitudinal cross-country analysis is needed to evaluate the extent to which current aquaculture policies support sustainable intensification and environmental protection.

2992: Countries with standards, regulations or subsidies that focus on improving nitrogen and phosphorus use efficiency

Nitrogen and phosphorus are essential nutrients for crop growth, but their inefficient use can cause environmental pollution, greenhouse gas (GHG) emissions and economic losses. Excessive application of nutrients from both synthetic fertilizers and manure leads to nutrient runoff and leaching, causing eutrophication, harmful algal blooms and dead zones in water bodies. This pollution also contaminates drinking water and increases nitrous oxide emissions, a potent GHG.

Globally, significant proportions of applied nitrogen and phosphorus are lost to the environment, highlighting the need for improved nutrient use efficiency in agriculture. However, two-thirds of agricultural policies globally fail to promote nitrogen use efficiency, and instead primarily incentivize nitrogen use or regulate its trade. This suggests that policies currently prioritize food production but fail to balance those needs with resulting environmental concerns.

Policies and regulations to enhance nitrogen and phosphorus use efficiency can reduce nutrient runoff, GHG emissions and resource depletion. For instance, in the United States, a 25% tax on phosphorus inputs reduced soluble phosphorus concentrations by 8% in studied watersheds. As another example, Denmark reduced nitrogen discharge into marine waters by 50% and reversed groundwater nitrogen increases over 30 years through improved nutrient utilization and fertilizer use restrictions, including stringent regulations on manure use.

While there are no global data sources yet tracking policies around nitrogen and phosphorus use efficiency, several countries have implemented standards, regulations or subsidies to improve nutrient use efficiency. For example, the European Union set national emissions reduction commitments for 2020-2029 for main pollutants, including nitrogen oxides, ammonia and sulfur dioxide. Bangladesh, India, Nepal and Sri Lanka have introduced policies to increase access to fertilizers while balancing nutrient use.

Tracking these policies is necessary to assess their effectiveness in reducing agriculture's environmental impacts, including eutrophication, GHG emissions and biodiversity loss.

2993: National water pollution regulations for agriculture, as measured by agricultural land covered by policies that set quantifiable and enforceable constraints on nitrogen production, consumption or loss

Historical Data Methodology and Challenges:

Currently there is no comprehensive data available for this indicator. The INMS Nitrogen Database, ECOLEX, and FAOLEX databases can be filtered to explore policies focusing on nitrogen and water pollution, respectively; more research is needed to compile and compare policies with a consistent methodology.

Agricultural production is a major polluter of water resources. Untreated agricultural runoff contains pesticides, fertilizers, manure and other pollutants. As a result, it contaminates water bodies, harms aquatic ecosystems and biodiversity, and poses risks to human health. This leads to the degradation of inland and coastal waters, eutrophication and groundwater pollution. Agricultural water pollutants also contribute to greenhouse gas emissions, mostly through denitrification of nitrogen waste in water, resulting in the release of nitrous oxide.

On-farm practices like the preservation and creation of riparian buffers and ecological ditches and the use of precision agriculture and erosion control techniques can be very effective at controlling runoff, but farmers often have little incentive to switch to these more expensive or labor-intensive practices.

Strong regulations can incentivize the adoption of sustainable agricultural practices to reduce agricultural pollution. While policy effectiveness varies by context (and may increase when applied in combination), options to reduce pesticide and nutrient pollution include restrictions, taxes or application limits for pesticides and fertilizers; subsidies to support increasing nutrient use efficiency and improving manure management practices; and results-based economic incentives.

The use of fertilizers and pesticides may be valuable in helping close yield gaps in some contexts. These gaps are greatest for major cereal grains in parts of South and Southeast Asia, Eastern Europe and Central Asia, Africa, and Central America. At the same time, the overall quantity of fertilizers and pesticides used globally must be curbed to protect terrestrial biodiversity. Reforming agricultural regulations and subsidies can help limit — but not necessarily prohibit — judiciously increased fertilizer or pesticide use where relevant to improve food security.

There is no comprehensive dataset that compares water pollution regulations across different countries over time. Tracking and monitoring the establishment and enforcement of these regulations is essential for protecting water resources, freshwater and other ecosystems, as well as safeguarding human and ecosystem well-being.

2994: Countries with agricultural water quantity regulations

Historical Data Methodology and Challenges:

Currently there is no comprehensive data available for this indicator. The ECOLEX and FAOLEX databases can be filtered to explore policies focusing on soil water quantity and conservation; more research is needed to compile and compare these policies with a consistent methodology.

Agriculture accounts for over 70% of global freshwater withdrawals. Escalating water shortages in regions with unsustainable extraction rates threaten agricultural output, food security, ecosystems and rural livelihoods, and exacerbate the impacts of climate change. Unregulated, excessive water use also depletes aquifers and surface water resources, leading to water scarcity and undermining agricultural sustainability.

Globally, sustainable irrigation requires limiting irrigation to about 810 cubic kilometers (km3) of water annually, but current usage is 1,083 km3, exceeding planetary limits. Implementing and enforcing water use regulations to control water extraction is critical for mitigating climate change and ensuring long-term food production viability, while also balancing the competing needs of other sectors such as urban development, industry and ecosystem conservation.

There is no comprehensive dataset that compares water use regulations across different countries over time. Water quantity regulations typically involve measures such as water pricing, water abstraction limits, irrigation efficiency standards and incentives for adopting water-saving technologies such as drought-tolerant crop varieties. For example, Israel has implemented institutional and regulatory reforms, alongside substantial infrastructure investments, to reuse more than 87% of treated wastewater effluents for agriculture, accounting for approximately half of all irrigation water used nationwide. Similarly, the European Union’s Water Framework Directive includes abstraction controls, water efficiency measures and water pricing.

While some water use regulations have proven effective, others have failed to achieve their intended goals or have even exacerbated water management issues. For example, the regulatory framework for water rights in the western United States, rooted in the "prior appropriation" doctrine, has historically prioritized economic interests, often leading to overuse, excessive withdrawals and environmental degradation. This system favors early claimants and economic power over community control or equitable sharing, resulting in reduced instream flows and harm to ecosystems.

Worldwide, reform is urgently needed to align water rights with sustainable water management that balances agricultural and economic priorities with ecological preservation.

7162: Countries with high and very high levels of implementation of national-level integrated water resources management policies and plans

Historical Data Methodology and Challenges:

The UN Environment Programme calculated scores based on a 33-question survey organized around four main dimensions of IWRM and an average score from 0 to 100, in increments of 10, for each dimension. Countries that had “high” and “very high” levels of implementation are presented in the data above. In 2017, 173 countries were surveyed, then 186 in 2020 and 183 in 2023.

Integrated water resources management (IWRM) promotes the coordinated development and management of water, land and related resources to maximize economic and social welfare without compromising ecosystem sustainability. If designed and implemented properly, it can help ensure equitable water distribution; meet the diverse needs of communities, industries and agriculture; and involve stakeholders in decision-making.

IWRM focuses on conserving water-dependent ecosystems, preserving biodiversity, maintaining water quality and restoring degraded environments, while also addressing the water needs and impacts of agriculture through sustainable irrigation practices, efficient water use in crop production and mitigation of agricultural runoff. It also integrates climate change considerations into water management strategies, helping to adapt to changing precipitation patterns, extreme weather events and rising temperatures, while reducing greenhouse gas emissions.

IWRM implementation can yield significant and diverse benefits that contribute to sustainable development and improved water security across a wide variety of contexts.

Globally, the share of countries with high or very high levels of implementation of national-level IWRM policies and plans grew from 19% in 2017 to 26% in 2023. While this is heading in the right direction, as of 2023, 136 countries still had not made sufficient progress with IWRM implementation, despite the global call for IWRM since 1992.

The limited implementation of such policies hinders sustainable water management, leading to conflicts, resource inefficiency and environmental degradation. Tracking the implementation of these policies is important for understanding progress toward sustainable and equitable water management.

2996: Countries with policies promoting the retention of riparian buffer zones

Vegetated areas adjacent to water bodies, known as “riparian buffer zones,” maintain ecological integrity and provide ecosystem services. These zones significantly reduce soil erosion by trapping eroded soil particles, thereby reducing sedimentation in water bodies and contributing to climate change mitigation by sequestering carbon.

For example, in the United States, the establishment of riparian forest buffers in the Bear Creek Watershed in Iowa reduced soil loss by an estimated 77% to 97% between 1998 and 2002. In the Jinghe watershed in China, riparian buffer zones of various designs removed 86% to 91% of sediments and 85% to 92% of dissolved nitrogen.

The vegetation in riparian zones regulates microclimates, mitigates temperature extremes and provides habitats for wildlife, enhancing ecosystem resilience against climate change. Additionally, healthy or intact riparian zones support agricultural activities by regulating water flow, filtering pollutants, maintaining water quality, enhancing soil fertility, reducing runoff and providing habitats for pollinators essential for agriculture.

Policies promoting riparian buffer zones play an important role in safeguarding water quality, habitats and overall ecosystem health. More data is needed to promote riparian buffer zone policies across different countries over time. Even in the countries where there are regulations for protecting riparian zones, implementation is limited.

Key challenges in implementing riparian management include vague policy objectives that lack measurable targets, making effectiveness hard to assess; inconsistent guidelines across regions; socioeconomic pressures in developing countries, where community needs often conflict with conservation goals; a lack of integration in environmental and land-use programs, leading to fragmented protection efforts; and inadequate protections for riparian zones.

2997: Countries with measures promoting, guiding or requiring agricultural practices and landscape configurations aimed at minimizing soil degradation

Historical Data Methodology and Challenges:

Currently there is no comprehensive data available for this indicator. The FAOLEX Database provided by FAOSTAT offers a policy database that can be filtered to explore policies focusing on soil degradation and conservation; more research is needed to compare these policies with a consistent methodology.

Soil degradation poses a significant threat to agricultural productivity, food security and environmental sustainability. Soil degradation and climate change are closely connected, creating a vicious cycle: degraded soils lose their ability to sequester carbon and support vegetation, leading to increased greenhouse gas (GHG) emissions that drive climate change. At the same time, climate change exacerbates soil degradation through changes in temperature, precipitation patterns and extreme weather events like droughts and floods.

Measures that promote, guide or require agricultural practices aimed at minimizing soil degradation are necessary for maintaining soil health, productivity and environmental sustainability. These measures encompass a range of sustainable land management practices, including conservation tillage, crop rotation and cover cropping, contour farming and terracing, integrated nutrient management, agroforestry and windbreaks, and sustainable irrigation techniques.

By promoting these practices through comprehensive national policies, economic incentives, land tenure reforms, research and capacity building, countries can combat the severe consequences of soil degradation.

Currently there is no comprehensive global dataset tracking country, state or company policies that promote, guide or require agricultural practices to minimize soil degradation.

2998: Secure land tenure, as measured by the agricultural population with ownership or secure rights of land

Historical Data Methodology and Challenges:

Multiple datasets were examined for possible use in this indicator. Tenure security has two important dimensions: objective (focusing on systems, institutions, laws and governing bodies that protect and administer tenure) and subjective (people's perceptions of their tenure security, which influences land use decisions). The PRINDEX database measures subjective tenure security in over 140 countries, providing valuable insights into how people perceive their land rights. However, it is not limited to agricultural land. Data from UNSTATS for SDG indicator 5.a.1 was chosen instead of PRINDEX to represent the objective dimension of tenure security specific to the agricultural population ("Proportion of total agricultural population with ownership or secure rights over agricultural land, by sex"). While global data from UNSTATS is currently not available, country-level data was presented here. One limitation is that the country-level data is not comprehensive — it is limited to data from only 49 countries over inconsistent years. Ideally, both objective and subjective measures would be considered for a full picture of tenure security in agricultural contexts.

Secure land tenure is a fundamental enabler of sustainable land management and ecosystem restoration. When individual farmers and farming communities have legal rights to and long-term tenure of their land, they are more likely to invest in long-term projects that improve soil health, conserve water and restore ecosystems. This security also empowers them to defend their territories against external threats like illegal logging or land grabbing, effectively preserving biodiversity and preventing land degradation.

Secure tenure thereby also reduces climate change vulnerability by allowing communities to implement adaptation strategies and participate in carbon credit programs. Furthermore, it enhances land rental markets, enabling more efficient allocation of land to productive farmers. For women, secure land rights help close gender gaps in agricultural productivity by providing access to credit and resources.

Data on the percentage of the agricultural population with secure ownership and rights to land is available for only 49 countries for select years from 2009 to 2023. In nearly two-thirds of these countries, less than half of the people involved in agricultural production had ownership or secure rights to land in the most recent estimates. Overall, men had disproportionately greater ownership and land rights than women. In 43 out of the 49 countries, a higher share of men had agricultural land rights than women, often more than twice the share of women. Only a few countries — Cambodia, Comoros, Eswatini, Lesotho, Malawi and Myanmar — countered this trend.

Generally, data for land tenure security (not specific to agricultural land) shows that over 1 billion people worldwide believe they could lose their land or property rights within five years. This fear is driven by a complex interplay of environmental, economic and social factors. Climate change, global agricultural markets and industrial development put pressure on vulnerable groups, while the expansion of protected areas and large-scale land acquisitions often disregard Indigenous and customary land rights, leading to displacement and loss of livelihoods. Weak legal frameworks, particularly in Africa, exacerbate this insecurity, enabling land exploitation by governments and investors.

Insecure tenure ranges from extra-legal occupation to a customary tenure system that is not recognized in formal law. Additionally, in many countries, such as in Peru, land and property rights may be legally recognized but practical barriers limit individuals’ ability to fully benefit from these rights. This gap between legal recognition and practical implementation significantly impacts Indigenous peoples’ and local communities’ ability to manage and benefit from their ancestral lands, which are typically held under collective ownership, and they are particularly vulnerable to disputes, misinterpretation of tenure rights and challenges in formal legal recognition.

2999: Indigenous Peoples' land rights, as measured by the share of land legally designated for and owned by Indigenous Peoples, Afro-descendant Peoples, and local communities

Historical Data Methodology and Challenges:

The data presented in this figure from the Rights and Resources Initiative represents the sum of areas designated for Indigenous peoples, Afro-descendant peoples, and local communities and the area legally owned by those same groups in 2015 and 2020.

Indigenous peoples, Afro-descendant peoples, and local communities play an important role in global climate change mitigation and biodiversity conservation. For example, at least 24% of the total carbon in tropical and subtropical forests is from lands managed by Indigenous people and overlap with 80% of the planet's biodiversity hotspots. Moreover, Indigenous peoples, Afro-descendant peoples, and local communities are also at the frontlines in observing and responding to climate change impacts.

Despite their crucial role in environmental stewardship, climate change adaptation and mitigation, as of 2020, Indigenous peoples, Afro-descendant peoples, and local communities legally owned only 11% of land across 73 countries, and governments had designated more limited rights over an additional 7.2%. This is less than one-fifth of the global land that Indigenous and Afro-descendant peoples have claim over, which leaves vast areas of ancestral land vulnerable to exploitation and environmental degradation. Securing land rights is not just a matter of social justice, but also a key strategy in global efforts to combat climate change and preserve biodiversity. This percentage has not changed significantly since 2015, indicating a persistent gap in recognizing and securing land rights for these communities. However, even where legal ownership or formal recognition exists, tenure security is often undermined by weak enforcement mechanisms, overlapping claims and external pressures such as extractive industries.

Indigenous peoples, Afro-descendant peoples, and local communities often have deep cultural and historical connections to their lands, which inform their agricultural practices and land management approaches. Their traditional knowledge and farming practices enhance resilience to environmental changes and contribute to soil fertility and biodiversity conservation. The ability of these communities to manage their lands according to their cultural traditions, needs and sustainable practices is necessary for preserving ecosystems and biodiversity.

However, the historical and ongoing land dispossession and grabbing of these communities' territories threaten their ability to continue practicing traditional sustainable agricultural methods such as crop protection, veterinary practices and agroforestry, as well as their capacity to safeguard biodiversity.

This lack of legal acknowledgment leaves ancestral territories vulnerable to exploitation by governments, corporations, individuals and even some poorly implemented projects to reduce deforestation, posing severe threats to biodiversity, climate mitigation efforts and community livelihoods.

3000: Women's empowerment in agriculture

Historical Data Methodology and Challenges:

While women's empowerment in agriculture is best measured by a metric that combines women's employment, decision-making power, access and benefit-sharing in the agriculture sector, a comprehensive global dataset capturing such complexities across numerous countries is not yet available. A commonly used indicator, the Women’s Empowerment in Agriculture (WEAI) Index, measures a variety of factors contributing to women’s economic agency in the agricultural sector. It captures women's engagement in agriculture through five domains: production, resources, income, leadership and time use.  Despite its comprehensive nature, the availability of WEAI data is limited — it has been used in individual studies from 58 countries and in a comparison of 6 countries — and thus not yet sufficient for inclusion on this platform.

The impacts of climate change and biodiversity loss differ based on gender and other intersecting identity factors such as race, class, geographic location and socioeconomic status, with marginalized populations often disproportionately affected. In the context of agriculture, it is particularly important to take a gender-inclusive approach given the significant role of women in the sector and the unique challenges they face, including structural barriers such as limited access to land, finance, skills and technology. According to the United Nations Food and Agriculture Organization (FAO), globally 36 percent of working women were employed in agri-food systems in 2019, a number that exceeds 60 percent in Southern Asia and sub-Saharan Africa. Women’s employment in agriculture, however, does not equate to their empowerment.

Empowering women in agriculture requires enabling their active participation, recognizing their contributions and ensuring equitable distribution of benefits. This empowerment entails increasing women's access to resources, enhancing their decision-making authority and expanding their choices and freedoms.

Empowering women in climate-resilient, sustainable agriculture is necessary not only to address gender inequalities, but also to enhance agricultural productivity, ensure food security, improve nutrition and promote sustainable natural resource management. In 2021, women comprised over 37% of the world’s agricultural workforce — a figure exceeding 60% in some least developed countries — and about 15% of all landholders.

Despite this, women in agriculture face numerous challenges that hinder their economic opportunities. Female farmers have significantly less access to land and inputs, including fertilizers, labor and technology, compared to male farmers. Financial inclusion is also a major issue, as women in low- and middle-income countries have lower rates of bank account ownership than men. Time poverty due to unpaid care work is also a significant barrier, severely limiting women’s education and employment opportunities. Women's participation in decision-making processes is also limited, as evidenced by their underrepresentation in agricultural cooperatives and rural organizations.

FAO estimates that closing gender gaps in agriculture and achieving gender equality in farm productivity could reduce global food insecurity by 2%, potentially decreasing the number of food-insecure individuals by 45 million.

Gender equality in agriculture is also crucial for climate change response, enhancing productivity and fostering synergies between productivity, adaptation and mitigation efforts. Research across 74 countries underscores that higher women's empowerment, measured by indices like the Women's Empowerment in Agriculture Index (WEAI), correlates with notable reductions in greenhouse gas emissions.

3001: Countries with a sectoral measure focused on agriculture in their NDCs

Historical Data Methodology and Challenges:

The data for this indicator was sourced from Climate Watch’s NDC Tracker, capturing information from the most recent NDC submissions.

For many countries, nationally determined contributions (NDCs) form the foundation of international climate action. They help guide domestic policymaking across the whole of government, signal the direction of travel to public and private sector investors, and enable more effective implementation.

Including climate-smart, sustainable agricultural measures in NDCs can play an important role in shaping countries' agricultural policies. For example, it is critical that countries adopt policies that help minimize greenhouse gas (GHG) emissions from agricultural practices while enhancing climate resilience. Equally important is that countries pair efforts to boost agricultural productivity with ecosystem protection measures.

These strategies in NDCs can be complemented by countries' national biodiversity strategies and action plans (NBSAPs), which provide a framework for conserving biodiversity and promoting sustainable use of natural resources in the agricultural sector. It is also necessary to prevent environmental leakage, where protective measures in one country may inadvertently shift production and associated environmental damages to countries with lower environmental protections. To address this, countries should strive for coordinated global action and implement policies that consider both local and global environmental impacts.

As of December 2024, 91% (176 countries) who had submitted their NDCs included a sectoral measure focused on agriculture. However, only 33% (64 countries) included at least one quantifiable target focused on agriculture.

Current targets demonstrate the variety of approaches to emissions reductions. For instance, Vietnam’s targets aim to cut methane emissions from rice cultivation by 10% by 2030, as compared to 2010 levels, and Denmark aims to lower agricultural and forestry emissions by 70% by 2030, as compared to 1990 levels. Denmark’s strategy includes a pioneering Green Tripartite Agreement, which combines a livestock emissions tax, incentives to reduce nitrogen pollution, and large-scale restoration of peatlands and forests to address agricultural emissions and environmental degradation comprehensively.

However, there are still several challenges to ensuring greater inclusion of food and agriculture issues into climate strategies. This includes, for instance, insufficient clarity and depth regarding proposed agriculture-related policies, and inadequate attention to the requirements of vulnerable communities, small-scale farmers, and women in the agriculture sector.

It is important to note that this data may exclude agricultural reforms and climate-smart practices implemented independently of their inclusion in NDCs. Many countries have ongoing agricultural initiatives and policies aimed at improving sustainability and resilience that may not be explicitly mentioned in their NDCs. For example, the climate-smart agriculture approach has been adopted by various countries and organizations to address food security and climate challenges, often outside of the formal NDC framework.

Enhancing NDCs by addressing these limitations is necessary in order to unleash the agriculture sector's substantial potential to aid global climate change mitigation and adaptation efforts. For instance, one estimate for Eastern Africa indicated that improved mitigation efforts in agriculture could surpass current NDC GHG targets for all other sectors in the region by up to 140%.

3002: Food and agriculture companies measuring and reporting scope 3 emissions associated with their food production or purchases

Historical Data Methodology and Challenges:

This indicator was derived from data compiled by the WBA’s Food and Agriculture Benchmark. The data represents the share of the top 350 food and agriculture companies that received credit for having disclosed at least some categories of its scope 3 emissions. In 2023, 350 companies received a score for this indicator, up from 329 in 2021.

In the WBA’s 2021 Food and Agriculture Benchmark, the indicators were reported as a single score without a disaggregation showing the specific elements that comprised the score. The 2021 iteration involved a cumulative scoring approach. Thus, it was assumed above that companies which received a score of 0.25 or higher (out of 1.0) had provided evidence of having disclosed at least some categories of their scope 3 emissions since disclosing emissions was the first of the four cumulative elements of the 2021 scoring approach for this indicator.

The disaggregation tab shows the share of companies that received credit for having disclosed at least some categories of their scope 3 emissions within each value chain segment. For calculating these shares, the denominator used was the total number of companies in that value chain segment, rather than the full 350 (or 329) companies. The categories are not mutually exclusive; some companies were classified in multiple segments. The total number of companies in respective value chain segment: 

​​Value Chain Segment 

​2021 

​2023 

​Agricultural inputs 

​42 

​44 

​Agricultural products and commodities 

​139 

​144 

​Animal proteins 

​94 

​97 

​Food and beverage manufacturers/processors 

​232 

​243 

​Food retailers 

​58 

​61 

​Restaurants and food service 

​22 

​29​ 

Greenhouse gas emissions from companies include direct emissions from owned or controlled sources, such as vehicles and on-site fuel use (scope 1), indirect emissions from purchased energy like electricity and heating (scope 2), and indirect emissions across a company’s value chain, including those from purchased goods, business travel, transportation, and product life cycles (scope 3). While many companies focus primarily on reducing their scope 1 and 2 emissions, self-reported scope 3 emissions account for an estimated 88% of total emissions from food and beverage companies, making them critical to address. Accurately measuring and publicly disclosing these emissions enables greater transparency and accountability as companies strive to achieve science-based targets and implement strategies to mitigate their environmental impact.

In 2023, 51% of the top 350 food and beverage companies by revenue reported at least some of their scope 3 emissions, up from 40% in 2021. A smaller share (8% of companies in 2023) disclosed whether they were making progress toward scope 3 emissions targets. Restaurants and food service companies were the most likely to disclose scope 3 emissions, while companies focused on producing or processing animal proteins were the least likely. Without comprehensive accounting and public disclosure of these indirect emissions sources, companies lack the data foundation needed to set ambitious science-based targets and implement effective mitigation strategies throughout their supply chains.

Recent and upcoming climate disclosure legislations, such as the European Union’s Corporate Sustainability Reporting Directive and California’s Climate Corporate Data Accountability Act, are expected to accelerate the trend of emissions reporting and reduction efforts. These regulations will require certain companies to disclose their scope 3 emissions, potentially increasing the number of companies implementing active reduction programs.

In addition to scope 3 emissions reduction targets, companies are also committing to zero-deforestation value chains, which can help reduce emissions and biodiversity losses from land-use changes. Corporate commitments to halting deforestation and increasing supply chain traceability are analyzed more closely in the forest and land system.

3003: Food and agriculture companies achieving quantitative reductions in scope 3 emissions associated with their food production or purchases

Historical Data Methodology and Challenges:

This indicator was derived from data compiled by the WBA’s Food and Agriculture Benchmark, which was conducted in 2021 and 2023. In 2021, indicators were reported as single cumulative scores without disaggregation showing the specific elements that comprised the score. For 2023, the WBA implemented elemental scoring across all indicators, allowing for more detailed assessment. This change improved the ability to track specific elements, such as which companies had achieved a quantitative reduction in scope 3 emissions. Due to this methodological update, only 2023 results are presented here.

The disaggregation tab shows the share of companies that received credit for achieving a quantitative reduction in scope 3 emissions within each value chain segment. For calculating these shares, the denominator used was the total number of companies in that value chain segment, rather than the full 350 companies. The categories are not mutually exclusive; some companies were classified in multiple segments.

Greenhouse gas emissions from companies include direct emissions from owned or controlled sources, such as vehicles and on-site fuel use (scope 1), indirect emissions from purchased energy like electricity and heating (scope 2), and indirect emissions across a company’s value chain, including those from purchased goods, business travel, transportation, and product life cycles (scope 3). While many companies focus primarily on reducing their scope 1 and 2 emissions, self-reported scope 3 emissions account for an estimated 88% of total emissions from food and beverage companies, making them critical to address. As of 2023, 26% of the top 350 food and agriculture companies had established targets to reduce scope 3 emissions from their value chains.

While setting targets to reduce emissions is important for focusing attention on the issue and setting ambition, companies must take action to reduce their scope 3 emissions effectively. Such actions may include supplier engagement initiatives, investments in sustainable technologies and changes to product design and packaging.

As of 2023, only 16% of the top 350 food and agriculture companies by revenue had achieved an absolute reduction in their scope 3 emissions. The magnitude of these reductions varies significantly across companies. Eighteen percent of the food retailers, manufacturers/processors and companies focused on producing or processing animal proteins had achieved scope 3 reductions, while only 10% of restaurants and food service companies had achieved reductions. For example, Nestlé reported a 7.5% reduction in scope 3 emissions between 2020 and 2023, and Danone achieved a 12.5% reduction during the same time period. Many companies are still in the early stages of reducing their scope 3 emissions, and the reported reductions often represent initial progress rather than long-term sustained decreases.

Reducing scope 3 emissions not only helps in achieving alignment with the Paris Agreement goals but also helps reduce financial risks for individual companies. While the full economic impact of delayed action on Scope 3 emissions is still being studied, a 2023 survey by Deloitte and New York University's Stern Center for Sustainable Business found that 57% of executives reported significant losses due to inadequate sustainability investments. One report indicated that companies could face up to $120 billion in costs from environmental risks in their supply chains within the next five years, and another found that companies effectively managing their scope 3 emissions tended to outperform their competitors.

3004: Access to agricultural extension services, as measured by the ratio of extension agents to farmers

Historical Data Methodology and Challenges:

While no recent data is available, the Global Forum for Rural Advisory Services reports the number of extension agents per country between 2009 and 2012.

With adequate and independent funding, agricultural extension services can help close knowledge gaps and support farmers as they adopt new technologies or implement new climate-smart, sustainable agricultural practices. Extension agents provide technical advice, training and support to farmers, aiding in improved productivity, farm income and adoption of sustainable practices. However, the magnitude of these impacts can vary significantly depending on factors such as local context, program design and implementation quality.

The ratio of extension agents to farmers represents a proxy for the share of farmers with access to extension services. While recent data is not available, 2012 data from the Global Forum for Rural Advisory Services indicated great variability across countries. For example, in China and Vietnam, there was one extension worker for every 280 farm households, while in Indonesia, each worker supported about 2.8 villages. In India, only 6.8% of farmers were reached due to unfilled positions, leaving farmers to rely on peers or input dealers for advice. More data is needed to monitor changes in the availability of extension agents over time.

Gender disparity is also stark: women make up 43% of the agricultural labor force but account for just 5% of those benefiting from extension services.

Even with potential increases in service accessibility, many developing countries face additional challenges that hinder the efficiency and effectiveness of agricultural extension services. This includes weak connections among research, education and extension institutions; inadequate coverage; limited infrastructure; restricted access to credit and markets; financial limitations; and lack of diverse approaches.

Additionally, while the number of extension agents is an important measure, the quality and relevance of extension services are equally critical. Extension quality encompasses multiple dimensions, including the relevance, availability, timeliness, cost and appropriateness of delivery methods. High-quality extension services can increase farmers’ satisfaction and their adoption of the most current and feasible sustainable practices.

Other shift Other shifts needed to transform the system

Reduce food loss and waste

One-third of all food produced is never eaten. Halving food loss and waste by 2030 will be essential for reducing the emissions and biodiversity loss linked to producing, transporting and disposing of uneaten foods.

Ensure access to and adoption of healthier, more sustainable diets for all

Dietary shifts are key to equitably feeding a growing population, protecting biodiversity and limiting warming to 1.5°C. This requires advancing global nutrition, improving food security in low-income and under-consuming populations, and moderating consumption of emissions- and land-intensive foods, like beef, in high-consuming regions.