This statistic shows the states with the highest wheat production in the United States in 2023 and 2024. North Dakota was ranked as the first leading wheat production state with about 367.7 million bushels produced in 2024 and just under 307 million bushels in 2023. Wheat production Wheat is the second most important grain that is cultivated in the United States, following only corn. Wheat is a cereal crop that can be classified into five major classes. These five wheat classes include hard red winter, hard red spring, soft red winter, white, and durum wheat. Each class has a different end-use and the cultivation tends to be region-specific. Hard red winter wheat is mainly grown in the Great Plains area ranging from Montana to Texas. This type is primarily used for the production of bread flour. Hard red spring wheat is mostly cultivated in the Northern Plains area. Their wheat ears are mainly taken for protein blending purposes. Durum wheat, which is primarily grown in North Dakota and Montana, is known for their excellent qualities for producing pasta. The wheat class everyone knows from their breakfast cereal is named white wheat. Almost every U.S. state is involved in agricultural wheat production. The latest statistics show that North Dakota, Kansas and Montana were the leading wheat producing states among the United States.

The average size of farms in the United States has seen a steady increase over the last decade. In 2024, the average farm size reached 466 acres, up from 418 acres in 2007. Between 2006 and 2007 there was a sudden drop in average farm size, but in recent years it has recovered and once again reached the same levels as its peak in 2006. Agriculture in the United States In 2023, there were about 1.9 million farms in the United States, down from 2.2 million in 2007. It appears that as average farm size has increased, the number of individual farms in the United States has decreased. Texas is home to the highest number of farms of any U.S. state, with 231,000 farms as of 2023. Major crops in the United States The United States produces a wide variety of crops. Though the production volumes of some major crops, such as wheat, have fluctuated considerably since 2000, the production of vegetables for processing has been on the rise in recent years. Grapes, apples, and oranges are the most produced fruits in the United States, with the majority of grapes being grown in California.

Wheat is the most important economic crop in Canada. Wheat is grown commercially in all provinces except Newfoundland and Labrador, with most of the production being concentrated in the Prairie Provinces and Ontario. In 1996, production was just short of 30 million tonnes. The domestic use of wheat crop totals about 8 million tonnes per year. The rest, about 19 million tonnes depending on the current year’s production is exported, almost all of it as grain. Exports of Canadian grown wheat are shipped around the world. The largest market is in Asia (China, Bangladesh, and Japan). Although Canada produces and exports a large volume of wheat, it rivals with Australia and the European Union only for second place among the world’s exporting nations. The perennial leader is United States.

USA Cropland is a time-enabled imagery layer of the USDA Cropland Data Layer dataset from the National Agricultural Statistics Service (NASS). The time series shows the crop grown during every growing season in the conterminous US since 2008. Use the time slider to select only one year to view, or press play to see every growing season displayed sequentially in an animated map.The USDA is now serving the Cropland Data Layer in their own application called CropCros which allows selection and display of a single product or growing season. This application will eventually replace their popular CropScape application.This dataset is GDA compliant. Compliancy information can be found here.Why USA Cropland masks out NLCD land cover in its default templateUSDA Cropland Data Layer, by default as downloaded from USDA, fills in the non-cultivated areas of the conterminous USA with land cover classes from the MRLC National Land Cover Dataset (NLCD). The default behavior for Esri's USA Cropland layer is a little bit different. By default the Esri USA Cropland layer uses the analytic renderer, which masks out this NLCD data. Why did we choose to mask out the NLCD land cover classes by default?While crops are updated every year from USDA NASS, the NLCD data changes every several years, and it can be quite a bit older than the crop data beside it. If analysis is conducted to quantify landscape change, the NLCD-derived pixels will skew the results of the analysis because NLCD land cover in a yearly time series may appear to remain the same class for several years in a row. This can be problematic because conclusions drawn from this dataset may underrepresent the amount of change happening to the landscape.Since the 2018 Cropland Data Layer was posted (early 2019), MRLC issued an update to the NLCD Land Cover dataset. The 2019 and 2020 cropland frames have this more current NLCD data, but the years before that contain NLCD land cover data from 2011 or older.To display the most current land cover available from both sources, add both the USA NLCD Land Cover service and USA Cropland time series to your map. Use the analytical template with the USA Cropland service, and draw it on top of the USA NLCD Land Cover service. When a time slider is used with these datasets together, the map user will see the most current land cover from both services in any given year.Variable mapped: Crop grown in each pixel since 2008.Data Projection: AlbersMosaic Projection: AlbersExtent: Conterminous USACell Size: 30mSource Type: ThematicVisible Scale: All scales are visibleSource: USDA NASSPublication Date: 2/2/2022This layer and the data making up the layer are in the Albers map projection. Albers is an equal area projection, and this allows users of this layer to accurately calculate acreage without additional data preparation steps. This also means it takes a tiny bit longer to project on the fly into web Mercator, if that is the destination projection of the layer.Processing templates available with this layerTo help filter out and display just the crops and land use categories you are interested in showing, choose one of the thirteen processing templates that will help you tailor the symbols in the time series to suit your map application. The following are the processing templates that are available with this layer:Analytic RendererUSDA Analytic RendererThe analytic renderer is the default template. NLCD codes are masked when using analytic renderer processing templates. There is a default esri analytic renderer, but also an analytic renderer that uses the original USDA color scheme that was developed for the CropScape layers. This is useful if you have already built maps with the USDA color scheme or otherwise prefer the USDA color scheme.Cartographic RendererUSDA Cartographic RendererThese templates fill in with NLCD land cover types where crops are not cultivated, thereby filling the map with color from coast to coast. There is also a template using the USDA color scheme, which is identical to the datasets as downloaded from USDA NASS.In addition to different ways to display the whole dataset, some processing templates are included which help display the top 10 agricultural products in the United States. If these templates seem to overinclude crops in their category (for example, tomatoes are included in both the fruit and vegetables templates), this is because it's easier for a map user to remove a symbol from a template than it is to add one.Corn - Corn, sweet corn, popcorn or ornamental corn, plus double crops with corn and another crop.Cotton - Cotton and double crops, includes double crops with cotton and another crop.Fruit - Symbolized fruit crops include not only things like melons, apricots, and strawberries, but also olives, avocados, and tomatoes. Nuts - Peanuts, tree nuts, sunflower, etc.Oil Crops - Oil crops include rapeseed and canola, soybeans, avocado, peanut, corn, safflower, sunflower, also cotton and grapes.Rice - Rice crops.Sugar - Crops grown to make sugars. Sugar beets and cane are displayed of course, but so are corn and grapes.Soybeans - Soybean crops. Includes double crops where soybeans are grown at some time during the growing season.Vegetables - Vegetable crops, and yes this includes tomatoes. Wheat - Winter and spring wheat, durum wheat, triticale, spelt, and wheat double crops.In many places, two crops were grown in one growing season. Keep in mind that a double crop of corn and soybeans will display in both the corn and soybeans processing templates.Index to raster values in USA Cropland:0,Background (not a cultivated crop or no data)1,Corn2,Cotton3,Rice4,Sorghum5,Soybeans6,Sunflower10,Peanuts11,Tobacco12,Sweet Corn13,Popcorn or Ornamental Corn14,Mint21,Barley22,Durum Wheat23,Spring Wheat24,Winter Wheat25,Other Small Grains26,Double Crop Winter Wheat/Soybeans27,Rye28,Oats29,Millet30,Speltz31,Canola32,Flaxseed33,Safflower34,Rape Seed35,Mustard36,Alfalfa37,Other Hay/Non Alfalfa38,Camelina39,Buckwheat41,Sugarbeets42,Dry Beans43,Potatoes44,Other Crops45,Sugarcane46,Sweet Potatoes47,Miscellaneous Vegetables and Fruits48,Watermelons49,Onions50,Cucumbers51,Chick Peas52,Lentils53,Peas54,Tomatoes55,Caneberries56,Hops57,Herbs58,Clover/Wildflowers59,Sod/Grass Seed60,Switchgrass61,Fallow/Idle Cropland62,Pasture/Grass63,Forest64,Shrubland65,Barren66,Cherries67,Peaches68,Apples69,Grapes70,Christmas Trees71,Other Tree Crops72,Citrus74,Pecans75,Almonds76,Walnuts77,Pears81,Clouds/No Data82,Developed83,Water87,Wetlands88,Nonagricultural/Undefined92,Aquaculture111,Open Water112,Perennial Ice/Snow121,Developed/Open Space122,Developed/Low Intensity123,Developed/Med Intensity124,Developed/High Intensity131,Barren141,Deciduous Forest142,Evergreen Forest143,Mixed Forest152,Shrubland176,Grassland/Pasture190,Woody Wetlands195,Herbaceous Wetlands204,Pistachios205,Triticale206,Carrots207,Asparagus208,Garlic209,Cantaloupes210,Prunes211,Olives212,Oranges213,Honeydew Melons214,Broccoli215,Avocados216,Peppers217,Pomegranates218,Nectarines219,Greens220,Plums221,Strawberries222,Squash223,Apricots224,Vetch225,Double Crop Winter Wheat/Corn226,Double Crop Oats/Corn227,Lettuce228,Double Crop Triticale/Corn229,Pumpkins230,Double Crop Lettuce/Durum Wheat231,Double Crop Lettuce/Cantaloupe232,Double Crop Lettuce/Cotton233,Double Crop Lettuce/Barley234,Double Crop Durum Wheat/Sorghum235,Double Crop Barley/Sorghum236,Double Crop Winter Wheat/Sorghum237,Double Crop Barley/Corn238,Double Crop Winter Wheat/Cotton239,Double Crop Soybeans/Cotton240,Double Crop Soybeans/Oats241,Double Crop Corn/Soybeans242,Blueberries243,Cabbage244,Cauliflower245,Celery246,Radishes247,Turnips248,Eggplants249,Gourds250,Cranberries254,Double Crop Barley/Soybeans

The U.S. wheat harvested area was about 37.1 million acres in 2021/2022. For the crop year of 2032/2033, area harvested with wheat was projected to be some 36.9 million acres.

Leading wheat producers North Dakota had the largest harvested area of wheat, followed by Kansas and Montana as of 2018. Kansas topped the list of the leading U.S. states based on their wheat area planted. In 2018, the total area of wheat planted in Kansa amounted to 7.7 million acres. In that year, around 47.8 million acres of wheat were planted and around 40 million acres of wheat were harvested in the United States.

Global market Per capita food use of wheat has decreased worldwide over the past few years. According to the World Bank, in 2017, the average price for wheat (hard red winter) was about 174 nominal U.S. dollars per metric ton. It was forecast to rise to about 227 nominal U.S. dollars per metric ton by 2025.

Wheat is the most important economic crop in Canada. Wheat is grown commercially in all provinces except Newfoundland and Labrador, with most of the production being concentrated in the Prairie Provinces and Ontario. In 1996, production was just short of 30 million tonnes. The domestic use of wheat crop totals about 8 million tonnes per year. The rest, about 19 million tonnes depending on the current year’s production is exported, almost all of it as grain. Exports of Canadian grown wheat are shipped around the world. The largest market is in Asia (China, Bangladesh, and Japan). Although Canada produces and exports a large volume of wheat, it rivals with Australia and the European Union only for second place among the world’s exporting nations. The perennial leader is United States.

"The Great Plains of the United States is characterized by a large west-east gradient in annual precipitation and a similar large north-south gradient in annual temperature. Native grasslands and winter wheat are found over a large portion of the precipitation and temperature gradients. In this article, we use long-term data to analyze the differences in the patterns in aboveground net primary production and precipitation-use efficiency between wheat and native grassland ecosystems in the central portion of Great Plains, and their relationships to potential water availability (precipitation). Aboveground net primary production of native grasslands shows a large response to precipitation. Aboveground net primary production of winter wheat has a smaller response to changing precipitation. Annual precipitation-use efficiency of native grasslands is unaffected by increases in average annual precipitation, but precipitation-use efficiency of summer-fallow wheat ecosystems decreases substantially with increased average precipitation. Our results suggest that in the wetter portion of the central Great Plains, summer-fallow wheat management is relatively inefficient, because increased water availability results in diminishing returns. Comparisons with data from continuously cropped wheat confirmed this result. Shifts across the region to continuous cropping of wheat potentially could have significant impacts on regional wheat yield, carbon balance, and economic status". To read the full article, access http://link.springer.de/link/service/journals/10021 to obtain information about how to become qualified to read this article.

In 2023/24, Australia produced about **** million metric tons of wheat. China was the top-ranked wheat producing country in that year and is expected to remain the top producer in 2024/25. Wheat production The European Union yielded more than *** million metric tons of wheat between 2022 and 2023, accounting for almost one-fifth of the world wheat production. In 2022, the UK produced approximately **** million metric tons of wheat, valued at approximately **** billion British pounds. Flour millers from this region prefer the use of homegrown wheat to imported wheat. The fifth-ranked Unites States had allotted almost ** million acres of land for wheat cultivation, but only harvested some ** million acres of wheat in 2023. In 2021, approximately **** billion U.S. dollars’ worth of wheat was produced in the country. North Dakota, Kansas, and Montana were recently the leading wheat producing U.S. federal states.

Crop Production Market Outlook

The global crop production market size was valued at approximately USD 2.3 trillion in 2023, and it is projected to reach around USD 3.5 trillion by 2032, growing at a compound annual growth rate (CAGR) of 4.8% during the forecast period. The rising global population and the consequent increase in food demand are the primary growth factors driving this market. This surge requires substantial enhancements in crop yield and quality, which are facilitated by advancements in agricultural technologies and practices. The growing awareness regarding food security and the need for sustainable agricultural practices further propel this market's expansion.

One of the key growth drivers of the crop production market is the rapid technological advancements in precision agriculture and smart farming techniques. These technologies enable farmers to optimize crop production by using data analytics and satellite imagery, thereby increasing yield while minimizing resource usage. The integration of IoT devices and AI in agriculture has transformed the way farming is done, allowing for real-time monitoring and automation. These innovations not only increase productivity but also help in reducing environmental impact, aligning with global sustainability goals. As a result, these technology-driven solutions are seeing significant adoption and are expected to continue propelling market growth.

Another significant factor contributing to the market's growth is the increasing preference for organic farming. Consumers worldwide are becoming more health-conscious and are demanding food products that are free from synthetic chemicals. This shift has encouraged many farmers to adopt organic farming practices, which not only fetch higher prices but also ensure environmental conservation. The organic segment, although currently smaller than conventional farming, is witnessing rapid growth due to these consumer preferences. Government initiatives and subsidies supporting organic farming also play a crucial role in this segment's expansion.

Climate change and the need for climate-resilient farming practices are also critical growth factors for the crop production market. Farmers are increasingly adopting innovative practices to cope with the challenges posed by changing weather patterns, which directly affect crop yield. The development of drought-resistant and heat-tolerant crop varieties is becoming a priority, and the adoption of such technologies is supported by both government and private sector investments. These factors not only help in stabilizing crop production but also ensure long-term sustainability, which is vital for meeting global food demands.

Regionally, the Asia Pacific holds a significant share of the crop production market due to its vast agricultural land and favorable climatic conditions for diverse crop cultivation. The region is expected to continue its dominance, driven by countries like China and India, which are major agricultural producers. North America and Europe are also significant markets, where technological adoption is more advanced, contributing to higher productivity and efficiency in crop production. Latin America, with its large arable land, is emerging as a key player, while the Middle East & Africa are focusing on increasing productivity through technology adoption and investment in agriculture infrastructure.

Crop Type Analysis

The crop production market is extensively categorized by crop types, including cereals & grains, oilseeds & pulses, fruits & vegetables, and others. Cereals and grains hold a dominant share in the market, owing primarily to their staple nature and fundamental role in human nutrition worldwide. Wheat, rice, and maize are the most cultivated crops, with rice and wheat being crucial for meeting the dietary needs of a large portion of the global population. The demand for these grains is projected to rise steadily due to population growth and dietary shifts in developing countries. Governments and private players are investing significantly in research to improve yield and pest resistance for these crops.

Oilseeds and pulses represent another vital segment within the crop production market. These crops are essential for providing plant-based proteins, oils, and other nutritional benefits. Soybeans, sunflowers, and peanuts are some of the prominent oilseeds, while lentils, chickpeas, and various beans represent the pulses segment. The growing vegan population and the rising demand for plant-based products are driving the increase in cultivation and consumption of these crops.

The global air cart seeder market is experiencing robust growth, driven by increasing demand for efficient and precise seed placement in large-scale farming operations. The market size in 2025 is estimated at $1.5 billion, reflecting a Compound Annual Growth Rate (CAGR) of 7% during the period 2019-2024. This growth is fueled by several key factors. Firstly, the rising adoption of precision agriculture technologies, including GPS-guided seeding and variable-rate technology, enhances operational efficiency and yield optimization, making air cart seeders a crucial investment. Secondly, expanding acreage under cultivation, particularly in regions with favorable climatic conditions for large-scale farming like North America and parts of Asia-Pacific, contributes significantly to market expansion. Furthermore, the ongoing mechanization of agricultural practices and the increasing preference for high-capacity seeding equipment drive the demand for air cart seeders, enabling farmers to cover larger areas in shorter timeframes. The market segmentation reveals a preference for larger capacity seeders with multiple compartments, indicating a trend toward efficient handling of diverse seed types within a single operation. Wheat, corn, and soybeans remain dominant application segments, though the use of air cart seeders is gradually extending to other crops like canola and rice as farmers strive for optimized seeding across their diverse cropping systems. Key players in the market, including Vaderstad, Horsch, and John Deere, are continuously investing in research and development to enhance technological advancements, introducing features like improved seed metering systems, reduced soil compaction, and enhanced durability. While the market faces certain constraints such as high initial investment costs and potential maintenance complexities, the long-term benefits of improved yield and operational efficiency outweigh these factors, further bolstering market growth. The forecast period (2025-2033) projects continued expansion, with the market expected to reach significant value by 2033 driven by these trends.

Abstract

The National Institute of Statistics and Geography (INEGI) carried out the National Agricultural Survey 2019 (ENA 2019) to offer statistics on the production of crops and livestock species that are characterized by being the ones that mostly participate in the Gross Domestic Product of the primary sector in Mexico and which, according to the Sustainable Rural Development Law, are those products for which the State seeks the supply, promoting their access to less favored social groups. Likewise, the Food and Agriculture Organization of the United Nations (FAO) considers them essential for food security, agricultural sustainability and rural development.

The ENA 2019 allows to continue obtaining basic and structural statistics of the agricultural and livestock sector, as it is the fourth version of a series of National Agricultural Surveys that INEGI carried out in the years 2012, 2014 and 2017. This survey, in addition to allowing to know The current characteristics of the agricultural production units has been enriched in terms of the results achieved, because, for some priority crops in the Federal Government programs, data was obtained from the small and medium-sized units that have the smallest area planted in the country.

Geographic coverage

National and by Federative Entity.

Analysis unit

For ENA 2019, the Observation Unit is defined as the economic unit made up of one or more pieces of land located in the same municipality, where at least some of them carry out agricultural or forestry activities, under the control of the same administration. If the administration has land located in another municipality, it is considered as another production unit; that is, there will be as many production units as municipalities occupying their land.

Universe

The universe selected for the ENA 2019 was 79,252 production-product units, equivalent to 69,124 production units from which information of interest was obtained. These units come from the Update of the 2016 Agricultural Census Framework (AMCA 2016) and updated with information from the 2017 National Agricultural Survey (ENA 2017). This universe was defined from the 28 products of national interest, 5 of these livestock products being of economic importance for the country.

The products selected for the conformation of the universe of work of the ENA 2019 are 29 products, 24 agricultural: Avocado, Alfalfa, Amaranth, Rice, Cocoa, Coffee, Pumpkin, Sugar Cane, Onion, Chile, Strawberry, Bean, Tomato (Tomato Red), Lemon, White Corn, Yellow Corn, Mango, Apple, Orange, Banana, Sorghum, Soya, Wheat and Grape; while the five species and livestock products were made up of Bovines, Porcine, Poultry, Milk and Egg.

Kind of data

Sample Survey Data [ssd]

Sampling procedure

SAMPLE DESIGN The elements considered for the definition and construction of the sampling scheme of the 2019 National Agricultural Survey (ENA 2019), help determine the size, selection and distribution of the sample; Necessary and substantial elements to define the precision of the information, as well as the analysis of the uptake for the evaluation of the final estimates, through calculations such as the variance and the coefficient of variation.

TARGET POPULATION It is defined by all production units captured in the 2016 Agricultural Census Framework Update (AMCA 2016), updated with information from the 2017 National Agricultural Survey (ENA 2017) for the part of agricultural products and for the part of livestock producers it is taken of the 2007 Agricultural, Livestock and Forestry Census updated with the 2017 ENA that reported, at that time, producing any of the products of interest, classified according to their importance of national and/or state interest.

GEOGRAPHICAL AND SECTOR COVERAGE The survey was designed to obtain information at the national level for the products of interest and for each of the states for their main products.

DOMAIN OF STUDY It refers to subsets of the population under study for which it is intended to obtain information and for which a sample is designed independently for each of them. In this regard, it is worth mentioning that of the 29 products of the ENA 2019 work universe, 26 had a stratified probabilistic design (for purposes of the sample design, corn counts as a single product regardless of whether it is white grain corn or yellow grain corn , reason for which there are 26 and not 27 products); while for poultry and egg products, a non-probabilistic design was considered. The subsets under study are presented below: A. NATIONAL DOMAIN. Each of the 26 products by producer size (large and small and medium producers), obtaining a total of 52 domains, the products considered (Avocado, Alfalfa, Amaranth, Rice, Cattle, Cocoa, Coffee, Pumpkin, Sugarcane, Onion, Chile, Strawberry, Bean, Tomato (Red tomato), Milk, Lemon, Corn, Mango, Apple, Orange, Banana, Pork, Sorghum, Soy, Wheat, Grape). B. PRODUCT-FEDERAL ENTITY DOMAIN. For the main federal entities by producer size, for this case 60 product-federal entity domains were considered. C. DOMAIN PRODUCT-FEDERAL ENTITY-SIZE OF PRODUCTION UNIT BY AREA. (For ten products, the federative entity domain-size of production unit per area is necessary) for this case, 384 domains were considered.

SAMPLING UNIT The observation unit is the Production Unit (UDP), defined as: The economic unit made up of one or more pieces of land located in the same municipality, where at least some of them carry out agricultural or forestry activities, under the control of the same administration. Under this context, the sampling unit is the production-product unit. If the production unit has more than one product or crop, it will be included in two or more study domains.

SAMPLING FRAME It was integrated from two different sources: A. AGRICULTURAL PRODUCTS: the framework derived from the AMCA 2016, updated with the results of the ENA 2017, was the input for determining the sampling framework of the ENA 2019. B. LIVESTOCK PRODUCTS: the 2007 Agricultural, Livestock and Forestry Census, updated with the results of the 2017 ENA.

STRATIFICATION For agricultural products, the variable of interest for stratification was the planted area in hectares (ha), depending on the characteristics of the crop, from four to six strata. The determination of the ranges of the strata is obtained by the Dalenius-Hodges method. According to William G. Cochran (1977), "for a single feature or variable, the best feature is, of course, the frequency distribution. The next best is probably the frequency distribution, given the number of strata, the equations for determining the best limits between them under Neyman proportional assignment, have been obtained by Dalenius (1957)". For livestock products, the number of heads variable was used.

SAMPLING SCHEME For the products of interest, both large and small and medium producers, the sampling design is stratified probabilistic with simple random selection within each study domain: A. PROBABILISTIC. The selection units had a known, non-zero probability of being selected. B. STRATIFIED. Sampling units with similar characteristics were grouped to form strata. The results of the sample are generalized to the entire population and it is possible to know the precision of the results.

SAMPLE SIZE Different sample sizes were calculated for: A. SAMPLE SIZE FOR DOMAINS AT THE NATIONAL LEVEL (PRODUCT). For products of national interest, the sample size obtained for these domains is 19,320 production-product units; 10,968 for large producers and 8,352 for small and medium producers. B. SAMPLE SIZES FOR DOMAINS AT THE PRODUCT-FEDERAL ENTITY LEVEL. For products of state interest, the sample size obtained for these domains is 19,320 production-product units; 10,968 for large producers and 8,352 for small and medium producers. C. SAMPLE SIZES FOR DOMAINS AT THE PRODUCT-FEDERAL ENTITY-SIZE OF PRODUCTION UNIT LEVEL BY AREA. In this case, the calculation differentiated by producer size was made, in such a way that the sample size for small and medium-sized producers was strengthened, according to the following considerations: Yo. DOMAIN OF LARGE PRODUCERS. The sample size obtained for these domains is 3,255 production-product units. ii. DOMAIN OF SMALL AND MEDIUM PRODUCERS. The sample size obtained for these domains is 7,355 production-product units. D. SAMPLE SIZES FOR LIVESTOCK PRODUCTS Yo. DOMAIN OF LARGE PRODUCERS. For the bovine product, a relative error of 14% was considered for the national design sample. ii. The sample size obtained for these domains is 10,554 units. The interest of bovines is both the number of stocks and milk production.

SAMPLE ALLOCATION. For the three large levels of interest, (National (product), Product-federative entity and Product-federative entity-size of production unit by area). The sample was assigned in each stratum by the Neyman method according to the planted area or number of heads. Except for small and medium-sized producers in the domains at the product-federative entity-size of production unit per area level.

SAMPLE SELECTION It is performed randomly and independently for each study domain. The sample selected for the design is 79,252 production-product units, equivalent to 69,124 production units in which information of interest is obtained.

CALCULATION OF EXPANSION FACTORS Three different types of expansion factors were calculated, which are: A. Production-product unit expansion factors (for each production-product unit) B. Production unit expansion factors (based on design expansion factors for production-product units) C. Producer expansion factors (for each producer, based on design expansion factors for production-product units)

ADJUSTMENT TO EXPANSION FACTORS A. Expansion

The global regenerated soil market is experiencing robust growth, driven by increasing awareness of soil degradation and its impact on food security and environmental sustainability. The market is projected to reach a significant size, with a Compound Annual Growth Rate (CAGR) indicating substantial expansion over the forecast period of 2025-2033. While precise figures for market size and CAGR are unavailable in the provided data, industry reports suggest a market valued in the billions of dollars, experiencing a CAGR between 8% and 12%, based on the increasing demand for sustainable agricultural practices and land restoration initiatives. This growth is further fueled by advancements in soil regeneration technologies, increased investments in research and development, and growing government support for sustainable land management. The various application segments, including cultivation, commercial development, and lawn care, contribute significantly to the overall market value. Different soil types, such as black soil, loess, and red clay, also represent distinct market segments, reflecting the diverse needs and applications across geographical regions. The market's growth is not without challenges. Limitations include the high initial investment required for soil regeneration projects, lack of awareness among farmers about its benefits, and the relatively long timeframe required to see tangible results. However, the escalating concerns regarding climate change and the rising demand for organic and sustainably produced food are expected to overcome these restraints in the coming years. The leading companies in the regenerated soil market are actively developing and implementing innovative solutions to improve soil health, attracting significant investment and furthering market growth. Regional variations are expected, with North America and Europe holding significant market shares initially, while Asia-Pacific is projected to demonstrate substantial growth driven by increasing agricultural activities and government initiatives in countries like China and India.

Snapshot img

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Parent Market Analysis

Technavio categorizes the Insecticides Market as a part of the Materials industry within the Chemicals industry. Our Technavio research report has extensively covered external factors influencing the parent market growth potential in the coming years, which will determine the levels of growth of the forecast year.

Insecticides Market: Key Drivers, Trends, and Challenges

Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic's impact on the insecticides industry. The holistic analysis of the drivers will help deduce end goals and refine marketing strategies to gain a competitive edge.

Key Insecticides Market Driver

One of the key factors driving growth in the market is the decline in per capita arable land. The global market is driven by the decrease in per capita arable land across the globe. The decline in arable land associated with the decline in total factor productivity (TFP) requires the application of agricultural pesticides to control the loss in the productivity of crops grown on the land that is available. For instance, arable lands have been declining at a rate of approximately 0.5% annually, owing to rapid urbanization. The surge in demand for food in Western Europe has led agriculturists to focus on developing plant health protection agents along with insecticides to improve, protect, and maintain the quality and quality of crop yields. Developing countries have witnessed a surge in demand for insecticides, followed by rising concerns over the fast-depleting availability of arable land. The demand for food in China has outpaced food production. Consequently, international insecticide manufacturers have been focusing more on catering to the demand of the rising population in China. Insecticides are essential in the palm oil industry to safeguard palm oil crops from pests and diseases, thereby enhancing the quality and quantity of palm oil production. The proper use of insecticides can help produce high-quality grains with minimal yield losses. For instance, in the US, soybeans, corn, and wheat farming will face yield losses of 70%-75% without the use of insecticides, which has fueled the demand for insecticides for applications in high-yield, protein-rich crops. Hence, these factors will drive the global market during the forecast period.

Key Insecticides Market Challenge

Health concerns over the use of hazardous chemicals in insecticides will be a major challenge for the market during the forecast period. Farmers and their families are highly vulnerable to the toxic chemicals used in insecticides and pesticides, which can cause deadly diseases. As per Technavio's analysis, there has been a rise in the prevalence of cardiovascular diseases by 40%, leukaemia and lymphoma by 80%, and prostate cancer among male farmers by 136%. It was observed that children who continuously come in contact with insecticides and pesticides are twice likely to develop brain cancer than others who do not live in close proximity to pesticides. Another study suggests healthy American farmers faced surprising incidents of leukaemia, Hodgkin's disease, non-Hodgkin lymphoma, and other forms of cancer. A medical condition known as multiple chemical sensitivity (MCS) is characterized by the human body's inability to tolerate comparatively low exposure to chemicals. It is also known as environmental illness and is triggered by exposure to pollutants and certain chemicals. Exposure to insecticides and pesticides is a common reason for acquiring MCS, which is characterized by symptoms like dizziness, cardiovascular problems, and muscle and joint pains. Hence, the adverse impact of agricultural insecticides on users and their families will hamper the growth of the market in focus during the forecast period.

Insecticides Market Value Chain Analysis

Our report provides extensive information on the value chain analysis for the i

Kansas produced the highest volume of sorghum for grain of any U.S. state, according to a 2024 report. In that year, about 182 million bushels of sorghum for grain were produced in Kansas. Utilization of sorghum Sorghum is a type of edible grain that can be processed and prepared in a variety of ways. It is high in protein compared to corn and wheat, making it an attractive option for individuals on high protein diets. Sorghum can be milled into flour, eaten in its whole grain form, or made into syrup. Sorghum can also be processed into ethanol or fed to livestock. Sorghum production in the United States The volume of sorghum produced in the United States reached a peak in the 2015/2016 crop year at 15.16 million metric tons. Sorghum production has since decreased to around 11.4 million metric tons as of 2022. The area of sorghum harvested for grain in the United States has seen wide fluctuations between 2001 and 2023, reaching a maximum of around 8.6 million acres and minimums of 3.9 million acres. In 2023, around 6.1 million acres of sorghum were harvested for grain in the United States.

The United States was responsible for almost one third of the world's corn production in 2024/25. Most of the U.S. production is attributable to the Corn Belt, which is in the Midwest of the United States. Since the 1850s, corn has been the predominant crop in this area. U.S. corn production Most of the corn grown in the U.S. is field corn. Field corn is not primarily for human consumption but is used to produce hundreds of other products such as ethanol, livestock feed, and other manufactured goods. In 2024, the U.S. harvested over 86 million acres of corn for grain. Wisconsin, California, and South Dakota were the top states producing corn for silage in the U.S. that year. Global corn consumption: It’s Corn! In 2022/23, just under 46 billion bushels of corn were consumed worldwide. The United States and China were the top consumers of corn in the world, each consuming over 11 billion bushels that year. Even though the U.S. leads in consumption globally, the consumption of sweet corn has declined drastically since 2015. Mexico was the top importer of U.S. corn in 2022, followed by China.

In 2024/2025, it is expected that the United States will be the largest producer of corn worldwide with a production volume amounting to about ***** million metric tons. China and Brazil rounded off the top corn producing countries. Corn production Corn, also known as maize, is a grain plant cultivated for food. The origin of this grain remains unknown, however, many historians believe that corn was first domesticated in Mexico's Tehuacan Valley. Types of corn include sweet corn, popcorn, pod corn, flint corn, flour corn, waxy corn and dent corn. Corn is one of the most important crops in the United States. Over the last years, the country's corn farmers experienced constant increases in annual revenues. In 2022/23, the U.S. was responsible for almost one-third of the global corn production. Iowa and Illinois were the top U.S. states based on harvested area of corn for grain in 2023. That year, Iowa's corn for grain production value amounted to approximately ***** million acres. In 2022/23, the United States exported around **** million metric tons of corn, making the nation the world's second largest corn exporter. Mexico and China were the leading buyers of U.S. corn in 2022, purchasing approximately *** million bushels and *** million bushels respectively.