The United States is the leading consumer of corn worldwide. In 2024/2025, the U.S. consumed about 318.277 million metric tons of corn. China ranked second with a consumption volume of 316 million metric tons. That year, the EU consumed about 78 million metric tons of corn in that year. Corn production in the U.S. Corn for grain makes up about a 27.5 percent share of all U.S. crop area harvested in 2022, meaning that corn has the second largest crop area in the United States. By contrast, corn for silage only makes up a two percent share of the total U.S. crop area. In 2022, approximately 13.7 billion bushels of corn for grain were produced in the United States. The vast majority of corn grown in the United States is enhanced with biotechnology. Corn utilization in the U.S. Though it is a popular and widely available vegetable in the United States, most of the corn grown in the United States is processed into ethanol, used as animal feed, or used to manufacture high fructose corn syrup. Of the 20 billion metric bushels of corn utilized in the United States in 2020/2021, about five billion metric bushels went to the production of ethanol and other by-products. In 2021, the average American consumed 4.3 pounds of fresh sweet corn, a decrease from about 9.2 pounds of sweet corn in 2010.

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.

Data is the state level of US corn production data. It includes acre planted (acre), acre harvested (acre), price that producer received (US$ / bushel), and total production (bushel). The data period is between 2000 and 2022. The data source is the USDA NASS Quick Stats database

In 2023, Brazil was the leading exporter of corn worldwide, with an export volume of 55.9 million metric tons. The United States ranked second, with 46 million metric tons exported, followed by Ukraine, with 26.4 million metric tons of corn exported. Global supply and demand Beyond its role as a global food source, corn serves as a versatile raw material for diverse industries. Its applications range from animal feed and ethanol production to the manufacturing of sweeteners, starches, cereals, beverages, and seeds. Worldwide corn production in 2022/23 reached over **** billion metric tons and was forecasted to slightly increase in 2023/24. This massive production is met with equally substantial demand, as global corn consumption is forecasted to reach nearly ** billion bushels in 2023/24. U.S. dominance The United States produced nearly a third of the world's corn in 2023/24. The Corn Belt, a region in the U.S. Midwest, is the primary source of this production. Corn has been the dominant crop in this area since the 1850. The United States is expected to be the world's largest corn producer in 2023/2024, producing just under *** million metric tons. While China and Brazil are the second and third-largest producers, respectively.

This dataset includes soil health, crop biomass, and crop yield data for a 13-year corn stover harvest trial in central Iowa. Following the release in 2005 of the Billion Ton Study assessment of biofuel sources, several soil health assessments associated with harvesting corn stover were initiated across ARS locations to help provide industry guidelines for sustainable stover harvest. This dataset is from a trial conducted by the National Laboratory for Agriculture and Environment from 2007-2021 at the Iowa State University Ag Engineering and Agronomy farm. Management factors evaluated in the trial included the following. Stover harvest rate at three levels: No, moderate (3.5 ± 1.1 Mg ha-1 yr-1), or high (5.0 ± 1.7 Mg ha-1 yr-1) stover harvest rates. No-till versus chisel-plow tillage. Originally, the 3 stover harvest rates were evaluated in a complete factorial design with tillage system. However, the no-till, no-harvest system performed poorly in continuous corn and was discontinued in 2012 due to lack of producer interest. Cropping sequence. In addition to evaluating continuous corn for all stover harvest rates and tillage systems, a corn-alfalfa rotation, and a corn-soybean-wheat rotation with winter cover crops were evaluated in a subset of the tillage and stover harvest rate treatments. One-time additions of biochar in 2013 at rates of either 9 Mg/ha or 30 Mg/ha were evaluated in a continuous corn cropping system. The dataset includes: 1) Crop biomass and yields for all crop phases in every year. 2) Soil organic carbon, total carbon, total nitrogen, and pH to 120 cm depth in 2012, 2016, and 2017. Soil cores from 2005 (pre-study) were also sampled to 90 cm depth. 3) Soil chemistry sampled to 15 cm depth every 1-2 years from 2007 to 2017. 4) Soil strength and compaction was assessed to 60 cm depth in April 2021. These data have been presented in several manuscripts, including Phillips et al. (in review), O'Brien et al. (2020), and Obrycki et al. (2018). Resources in this dataset:Resource Title: R Script for Phillips et al. 2022. File Name: Field 70-71 Analysis Script_AgDataCommons.RResource Description: This R script includes analysis and figures for Phillips et al. "Thirteen-year Stover Harvest and Tillage Effects on Soil Compaction in Iowa". It focuses primarily on the soil compaction and strength data found in "Field 70-71 ConeIndex_BulkDensityDepths_2021". It also includes analysis of corn yields from "Field 70-71 CornYield_2008-2021" and weather conditions from "PRISM_MayTemps" and "Rainfall_AEA".Resource Software Recommended: R version 4.1.3 or higher,url: https://cran.r-project.org/bin/windows/base/ Resource Title: Field 70-71 ConeIndex_BulkDensityDepths_2021. File Name: Field 70-71 ConeIndex_BulkDensityDepths_2021.csvResource Description: This dataset provides an assessment of soil strength (penetration resistance) and soil compaction (bulk density) to 60 cm depth, in continuous corn plots. Penetration resistance was measured in most-trafficked and least-trafficked areas of the plots to assess compaction from increased traffic associated with stover harvest. This spreadsheet also has associated data, including soil water, carbon, and organic matter content. Data were collected in April 2021 and are described in Phillips et al. (in review, 2022).Resource Title: Field 70-71 CornYield_2008-2021. File Name: Field 70-71 CornYield_2008-2021_ForR.csvResource Description: This dataset provides corn stover biomass and grain yields from 2008-2021. Note that this dataset is just for corn, which were presented in Phillips et al., 2022. Yields for all crop phases, including soybeans, wheat, alfalfa, and winter cover crops, are in the file "Field 70-71 Crop Yield File 2008-2020".Resource Title: PRISM_MayTemps. File Name: PRISM_MayTemps.csvResource Description: Average May temperatures during the study period, obtained from interpolation of regional weather stations using the PRISM climate model (https://prism.oregonstate.edu/). These data were used to evaluate how spring temperatures may have impacted corn establishment.Resource Title: Rainfall_AEA. File Name: Rainfall_AEA.csvResource Description: Daily rainfall for the study location, 2008-2021. Data were obtained from the Iowa Environmental Mesonet (https://mesonet.agron.iastate.edu/rainfall/). Title: Field 70-71 Plot Status 2007-2021. File Name: Field 70-71 Plot Status 2007-2021.xlsxResource Description: This file contains descriptions of experimental treatments and diagrams of plot layouts as they were modified through several phases of the trial. Also includes an image of plot locations relative to NRCS soil survey map units.Resource Title: Field 70-71 Deep Soil Cores 2012-2017. File Name: Field 70-71 Deep Soil Cores 2012-2017.xlsxResource Description: Soil carbon, nitrogen, organic matter, and pH to 120 cm depth in 2012, 2016, and 2017.Resource Title: Field 70-71 Baseline Deep Soil Cores 2005. File Name: Field 70-71 Baseline Deep Soil Cores 2005.csvResource Description: Baseline soil carbon, nitrogen, and pH data from an earlier trial in 2005, prior to stover trial establishment.Resource Title: Field 70-71 Crop Yield File 2008-2020. File Name: Field 70-71 Crop Yield File 2008-2020.xlsxResource Description: Yields for all crops in all cropping sequences, 2008-2020. Some of the crop sequences have not been summarized in publications.Resource Title: Field 70-71 Surface Soil Test Data 2007-2021. File Name: Field 70-71 Surface Soil Test Data 2007-2021.xlsxResource Description: Soil chemistry data, 0-15 cm, collect near-annually from 2007 to 2021. Most analyses were performed by Harris Laboratories (now AgSource) in Lincoln, Nebraska, USA. Resource Title: Iowa Stover Harvest Trial Data Dictionary. File Name: Field 70-71 Data Dictionary.xlsxResource Description: Data dictionary for all data files.

Brazil Agricultural Production: Volume: Corn data was reported at 95,300,499.000 Ton in Jun 2019. This records an increase from the previous number of 94,114,547.000 Ton for May 2019. Brazil Agricultural Production: Volume: Corn data is updated monthly, averaging 51,727,224.500 Ton from Mar 1998 (Median) to Jun 2019, with 256 observations. The data reached an all-time high of 99,556,353.000 Ton in Nov 2017 and a record low of 23,789,030.000 Ton in Jan 1999. Brazil Agricultural Production: Volume: Corn data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Agriculture Sector – Table BR.RIB001: Agricultural Production.

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.

Estimated areas, yield and production. Type of crop (Total corn for grain; Genetically modified corn for grain; Total soybeans; Genetically modified soybeans).

Dataset Abstract:

Field-level monitoring of crop types in the United States via the Cropland Data Layer (CDL) has played an important role in improving production forecasts and enabling large-scale study of agricultural inputs and outcomes. Although CDL offers crop type maps across the conterminous US from 2008 onward, such maps are missing in many Midwestern states or are uneven in quality before 2008. To fill these data gaps, we used the now-public Landsat archive and cloud computing services to map corn and soybean at 30m resolution across the US Midwest from 1999-2018. Our training data were CDL from 2008-2018, and we validated the predictions on CDL 1999-2007 where available, county-level crop acreage statistics, and state-level crop rotation statistics. The corn-soybean maps, which we call the Corn-Soy Data Layer (CSDL), are publicly hosted on Google Earth Engine and also available for download on Zenodo.

Summary of Methods:

Using Google Earth Engine, we trained a random forest classifier to classify each pixel of the study area into corn, soybean, and an aggregated "other crops" class. CDL 2008-2018 data were used as labels. The features input to the model were harmonic regression coefficients fit to the NIR, SWIR1, SWIR2, and GCVI bands/indices of time series from Landsat 5, 7, and 8 Surface Reflectance observations. Cloudy pixels were masked out using the pixel_qa band provided with Landsat Surface Reflectance products.

Map Legend:

0 = outside study area

1 = corn

5 = soy

9 = other crop

255 = non-crop (masked by NLCD)

Values were chosen to be consistent with CDL values when possible.

Usage Notes:

We recommend that users consider metrics such as (1) user's and producer's accuracy with CDL and (2) R2 with NASS statistics across space and time to determine in which states/counties and years CSDL is of high quality. This can be done with the CSV file of user's and producer's accuracies included in this Zenodo, and annual county-level statistics and example code we have included in our repo at https://github.com/LobellLab/csdl.

Updates:

March 1, 2021: Fixed an issue where 255 (non-crop) values were represented as NAs instead. CSDL now contains the 255 values representing non-crop.

October 20, 2020: Fixed projection issues in the previous version. The CSDL projection now matches that of CDL.

July 13, 2020: We revised how we used NLCD to mask out non-crop pixels from our maps. Instead of using one cropland mask (the union of cropland across all NLCD maps) for all years of CSDL, we used a different cropland mask (the last available NLCD) for each year of CSDL. We also reprojected the CSDL maps to the same projection as CDL to make it easier for users to transition between or combine the two datasets.

CN: Farm Crops: Grain: Corn: Yield: Zhejiang data was reported at 121.610 Ton th in 2023. This records a decrease from the previous number of 241.051 Ton th for 2022. CN: Farm Crops: Grain: Corn: Yield: Zhejiang data is updated yearly, averaging 203.000 Ton th from Dec 1949 (Median) to 2023, with 75 observations. The data reached an all-time high of 324.000 Ton th in 1963 and a record low of 94.000 Ton th in 2006. CN: Farm Crops: Grain: Corn: Yield: Zhejiang data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Agriculture Sector – Table CN.RIB: Yield of Farm Crops: Grain: By Region and Crop Variety.

This dataset consists of growth and yield data for each year when maize (Zea mays, L., also known as corn in the United States) was grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). Maize was grown for grain on four large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The four square fields are themselves arranged in a larger square with the fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field are thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Irrigation was by linear move sprinkler system in 1989, 1990, and 1994. In 2013, 2016, and 2018, two lysimeters and their respective fields (NE and SE) were irrigated using subsurface drip irrigation (SDI), and two lysimeters and their respective fields (NW and SW) were irrigated by a linear move sprinkler system. Irrigations were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. The growth and yield data include plant population density, height, plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, ear mass (when present), kernel number, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on maize ET, crop coefficients, and crop water productivity. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used by the Agricultural Model Intercomparison and Improvement Project (AgMIP), by OPENET, and by many others for testing, and calibrating models of ET that use satellite and/or weather data.Resources in this dataset:Resource Title: 1989 Bushland, TX, east maize growth and yield data. File Name: 1989_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: This dataset consists of growth and yield data for one of the seasons when maize was grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). Maize was grown for grain on four large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The four square fields are themselves arranged in a larger square with the fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field are thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Irrigation was by linear move sprinkler system in 1989, 1990, and 1994. In 2013, 2016, and 2018, two lysimeters and their respective fields (NE and SE) were irrigated using subsurface drip irrigation (SDI), and two lysimeters and their respective fields (NW and SW) were irrigated by a linear move sprinkler system. Irrigations were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. The growth and yield data include plant population density, height, plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, ear mass (when present), kernel number, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. There are separate spreadsheets for the east (NE and SE) lysimeters and fields, and for the west (NW and SW) lysimeters and fields. The spreadsheets contain tabs for data and corresponding tabs for data dictionaries. Typically there are separate data tabs and corresponding dictionaries for plant growth during the season, crop growth stage, plant population, manual harvest from replicate plots in each field and from lysimeter surfaces, and machine (combine) harvest, An Introduction tab explains the tab names and contents, lists the authors, explains conventions, and lists some relevant references.Resource Title: 1990 Bushland, TX, east maize growth and yield data. File Name: 1990_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 1990 East.Resource Title: 1994 Bushland, TX, east maize growth and yield data. File Name: 1994_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 1994 East.Resource Title: 1994 Bushland, TX, west maize growth and yield data. File Name: 1994_West_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 1994 West.Resource Title: 2013 Bushland, TX, west maize growth and yield data. File Name: 2013_West_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2013 West.Resource Title: 2016 Bushland, TX, east maize growth and yield data. File Name: 2016_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2016 East.Resource Title: 2016 Bushland, TX, west maize growth and yield data. File Name: 2016_West_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2016 West.Resource Title: 2018 Bushland, TX, west maize growth and yield data. File Name: 2018_West_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2018 West.Resource Title: 2013 Bushland, TX, east maize growth and yield data. File Name: 2013_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2013 East.Resource Title: 2018 Bushland, TX, east maize growth and yield data. File Name: 2018_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2018 East.

Sweden Agricultural Production Yield: Crop: Corn data was reported at 7,330.000 kg/ha in 2017. This records a decrease from the previous number of 8,030.000 kg/ha for 2016. Sweden Agricultural Production Yield: Crop: Corn data is updated yearly, averaging 6,400.000 kg/ha from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 8,030.000 kg/ha in 2016 and a record low of 5,610.000 kg/ha in 2010. Sweden Agricultural Production Yield: Crop: Corn data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.B026: Agriculture Production Yield.

Corn fell to 413.26 USd/BU on October 10, 2025, down 1.19% from the previous day. Over the past month, Corn's price has fallen 1.55%, and is down 0.60% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on October of 2025.

The Sustainable Corn CAP (Cropping Systems Coordinated Agricultural Project: Climate Change, Mitigation, and Adaptation in Corn-based Cropping Systems) was a multi-state transdisciplinary project supported by the USDA National Institute of Food and Agriculture (Award No. 2011-68002-30190). Research experiments were located through the U.S. Corn Belt and examined farm-level adaptation practices for corn-based cropping systems to current and predicted impacts of climate change.Research data were collected from 2011 to 2015 at research sites in 8 states: Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin. The research coverage area spanned 95.3°W to 81.9°W and 38.5°N to 44.7°N. Research sites encompassed a varying set of management practices including crop rotation, cover crop, tillage, drainage, and nitrogen management, with several sites having landscape position incorporated as an additional treatment. These treatments were typically arranged in a randomized complete block design as a complete factorial or main-split plot with 3 to 4 replications per site. It should be noted that none of the sites were identical in terms of treatment structure or data collected as sites were a combination of previously and newly established experiments that aligned with project research goals.The dataset contains agronomic, soil, water, greenhouse gas, crop disease, and pest data collected from 30 sites. Standardized protocols were developed and followed by the project team for estimating C, N, and water footprints of corn production in the region and performing baseline monitoring. Variables measured during the five-year period include: grain and biomass yield, C and N content in crop grain and vegetation, soil water moisture and temperature, C and N concentration in soil, greenhouse gas fluxes, drainage water quality and quantity, groundwater table and others. Hourly or sub-hourly weather data are also provided for each location.In addition, the dataset includes site description (e.g. site location, plot area, soil type), field management information (e.g. planting, harvesting, tillage and fertilizer application dates, seeding rate, fertilizer and pesticide type and application rate), and experimental design (e.g. plot identifiers, experimental treatments, variables measured).Users can query and download data from the Sustainable Corn CAP research web-accessible application. At this website, users can also access site-specific weather data and select the time period of interest for water data (here they are uploaded at a daily interval). In addition to the research data, the web tool also provides a list of over 100 referred journal articles as well as theses and dissertations related to the dataset. Other project-related materials such as fact sheets, videos, and extension publications are available for free download through the Iowa State University Extension and Outreach website and project reports through the Iowa State University Digital Repository.A complete list of refereed journals, theses, dissertations, and reports published by the Sustainable Corn CAP project team members can be accessed at https://datateam.agron.iastate.edu/cscap/Refer to the ARDN Products 'child' dataset of this record for a subset of the parent data specifically developed for the Agricultural Research Data Network with csv and json files for easy ingestion into crop models. Resources in this dataset:Resource Title: Sustainable Corn CAP Research Data .File Name: Sustainable_Corn_Research_Data_2011-2015.xlsxResource Description: Data file contains: Plot Identifiers, Agronomic, Soil, GHG, IPM, Water_Tile Flow, Water_Water Quality, Water_Water Table, Field Operations, Pesticides, Site Metadata, Drainage Control Structure Mngt, and Notes.Resource Title: Sustainable Corn Research Data 2011-2015 Data Dictionary.File Name: Sustainable_Corn_Research_Data_2011-2015_DataDictionary.csv

These data describe the percent of cropland harvested as wheat, corn, and soybean within each basin (basins 1-8, see accompanying shapefiles). Data are available for other crops; however, these three were chosen because wheat is a traditional crop that has been grown for a long time in the Basin and corn and soybeans have increased in recent times because of wetter conditions, the demand for biofuels, and advances in breeding short-season, drought-tolerant crops. The data come from the National Agricultural Statistics Service (NASS) Census of Agriculture (COA) and have estimates for 1974, 1978, 1982, 1986, 1992, 1997, 2002, 2007, and 2012. Years with missing data were estimated estimated using multivariate imputation of missing values with principal components analysis (PCA) via the function imputePCA in the R (R Core Team, 2015) package missMDA (Husson and Josse, 2015). In the interest of dimension reduction, the scores of the first principal component of principal component analysis, by basin, of the wheat, corn, and soy variables is included. Husson, F., and Josse, J., 2015, missMDA—Handling missing values with multivariate data analysis: R package version 1.9, https://CRAN.R-project.org/package=missMDA. R Core Team, 2015, R: A language and environment for statistical computing: R Foundation for Statistical Computing, Vienna, http://www.R-project.org.

CN: Farm Crops: Grain: Corn: Yield: Tibet data was reported at 30.611 Ton th in 2023. This records an increase from the previous number of 28.304 Ton th for 2022. CN: Farm Crops: Grain: Corn: Yield: Tibet data is updated yearly, averaging 15.100 Ton th from Dec 1980 (Median) to 2023, with 44 observations. The data reached an all-time high of 33.600 Ton th in 2018 and a record low of 5.000 Ton th in 1986. CN: Farm Crops: Grain: Corn: Yield: Tibet data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Agriculture Sector – Table CN.RIB: Yield of Farm Crops: Grain: By Region and Crop Variety.

This data comprises processed weather, soil, yield, and cultivation area for corn yield prediction in Sub-Sahara Africa, with emphasis on Nigeria. The data was collected to design a corn yield prediction model to help smallholder farmers make smart farming decisions. However, the data can serve several other purposes through analysis and interpretation.

The reference study region in Africa is Nigeria. The focuses on corn crop because there are over 211.4 million people, of which a large percentage of the population are smallholder farmers. Nigeria [9.0820° N, 8.6753° E] is within an arable land area of 34 million hectares located on the west coast of Africa. The region comprises of 36 states with the most and least number of districts being 214 and 10, respectively. For each state, the environment data are collected as follows.

Grid map climate data – This data spans spatial resolutions between ~1 km2 to ~340 km2 from the high spatial resolution WorldClim global climate database22. Each grid point on the map is monthly data from January to December between 1970 and 2000 years and records 8 climate variables. The variables are average temperature C0, minimum temperature C0, maximum temperature C0, precipitation (mm), solar radiation (kJ m^(-2) day(-1), wind speed (m s(-1)), and water vapor (kPa) taken at 30 seconds (s), 2.5 minutes m, 5 m, and 10 m.

Grid map soil data – This data is obtained from 250 minutes of spatial resolution AfSIS soil data23 from year 1960 to 2012. The variables are wet soil bulk density, dry bulk density (kg dm-3), clay percentage of plant available water content, hydraulic conductivity, the upper limit of plant available water content, the lower limit of, organic matter percentage, pH, sand percentage (g 100 g-1), silt percentage (g 100 g-1) and, clay percentage (g 100 g-1), and saturated volumetric water content variables measured at depths 0–5, 5–10, 10–15, 15–30, 30–45, 45–60, 60–80, 80–100, and 100–120 measured in centimeters (cm).

Corn yield data – This data is available on Kneoma Corporation website24. It ranged from years 1995 to 2006 and consisted of a corn yield of 1000 metric tonnes and a cultivation area of 1000 hectares.

Geolocation coordinates (latitude and longitude) – The geolocation of each of the 36 states with their districts is sampled from Google Maps. The output feds into the Esri-ArcGIS 2.5, a professional geographical software, for extracting the point-cloud values of each environmental variable (weather and soil) at specific geolocation of the 36 states of Nigeria.

Other Descriptions: Data type - Continous and Categorical Dataset Characteristics - Tabular Associated Tasks - Regression Feature Type - Real Number of Instances - 1828 Number of Features: 12

Statistics illustrates consumption, production, prices, and trade of Wet Corn in the United States from 2013 to 2024.

Four-year rainfed corn field experiment in Ames, Iowa. This dataset is part of an Agricultural Model Intercomparison and Improvement Project (AgMIP) data node maintained at National Agricultural Library for USDA-AgMIP data. Resources in this dataset:Resource Title: Corn Dataset. File Name: agmip_download.zipResource Description: Direct download, zipped aceb data format file at https://api.agmip.org/cropsitedb/2/dataset/53616eb8-df80-45dd-9c45-d7d81b8e1181

This statistic shows the production of corn in the United States from 2014/2015 to 2024/2025. According to the report, around ****** million tons of corn were produced in the U.S. in 2023/24, an increase from the previous trade year.