The Census of Agriculture, produced by the United States Department of Agriculture (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2022, and provides an in-depth look at the agricultural industry. This layer was produced from data obtained from the USDA National Agriculture Statistics Service (NASS) Large Datasets download page. The data were transformed and prepared for publishing using the Pivot Table geoprocessing tool in ArcGIS Pro and joined to county boundaries. The county boundaries are 2022 vintage and come from Living Atlas ACS 2022 feature layers.Dataset SummaryPhenomenon Mapped: Corn productionGeographic Extent: 48 contiguous United States, Alaska, Hawaii, and Puerto RicoProjection: Web Mercator Auxiliary SphereSource: USDA National Agricultural Statistics ServiceUpdate Frequency: 5 yearsData Vintage: 2022Publication Date: April 2024AttributesNote that some values are suppressed as "Withheld to avoid disclosing data for individual operations", "Not applicable", or "Less than half the rounding unit". These have been coded in the data as -999, -888, and -777 respectively. You should account for these values when symbolizing or doing any calculations.Commodities included in this layer:Corn - Operations with SalesCorn - Sales, Measured in US Dollars ($)Corn, Grain - Acres HarvestedCorn, Grain - Operations with Area Harvested - Area Harvested: (1.0 to 24.9 Acres)Corn, Grain - Operations with Area Harvested - Area Harvested: (25.0 to 99.9 Acres)Corn, Grain - Operations with Area Harvested - Area Harvested: (100 to 249 Acres)Corn, Grain - Operations with Area Harvested - Area Harvested: (250 to 499 Acres)Corn, Grain - Operations with Area Harvested - Area Harvested: (500 to 999 Acres)Corn, Grain - Operations with Area Harvested - Area Harvested: (1,000 or More Acres)Corn, Grain - Operations with Area HarvestedCorn, Grain - Production, Measured in BushelsCorn, Grain, Irrigated - Acres HarvestedCorn, Grain, Irrigated - Operations with Area HarvestedCorn, Silage - Acres HarvestedCorn, Silage - Operations with Area Harvested - Area Harvested: (1.0 to 24.9 Acres)Corn, Silage - Operations with Area Harvested - Area Harvested: (25.0 to 99.9 Acres)Corn, Silage - Operations with Area Harvested - Area Harvested: (100 to 249 Acres)Corn, Silage - Operations with Area Harvested - Area Harvested: (250 to 499 Acres)Corn, Silage - Operations with Area Harvested - Area Harvested: (500 to 999 Acres)Corn, Silage - Operations with Area Harvested - Area Harvested: (1,000 or More Acres)Corn, Silage - Operations with Area HarvestedCorn, Silage - Production, Measured in TonsCorn, Silage, Irrigated - Acres HarvestedCorn, Silage, Irrigated - Operations with Area HarvestedCorn, Traditional or Indian - Acres HarvestedCorn, Traditional or Indian - Operations with Area HarvestedCorn, Traditional or Indian - Production, Measured in lbsCorn, Traditional or Indian, Irrigated - Acres HarvestedCorn, Traditional or Indian, Irrigated - Operations with Area Harvested Geography NoteIn Alaska, one or more county-equivalent entities (borough, census area, city, municipality) are included in an agriculture census area.What can you do with this layer?This layer is designed for data visualization. Identify features by clicking on the map to reveal the pre-configured pop-up. You may change the field(s) being symbolized. When symbolizing other fields, you will need to update the popup accordingly. Simple summary statistics are supported by this data.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

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.

The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides an in-depth look at the agricultural industry.This layer summarizes corn production from the 2017 Census of Agriculture at the county level.This layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online. Dataset SummaryPhenomenon Mapped: 2017 Corn ProductionCoordinate System: Web Mercator Auxiliary SphereExtent: 48 Contiguous United States and HawaiiVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017AttributesThis layer provides values for the following attributes. Note that some values are not disclosed (coded as -1 in the layer) to protect the privacy of producers in areas with limited production.Operations with SalesSales in US DollarsGrain - Area Harvested in AcresGrain - Operations with Area HarvestedGrain - Production in BushelsGrain - Irrigated Area Harvested in AcresGrain - Operations with Irrigated Area HarvestedSilage - Area Harvested in AcresSilage - Operations with Area HarvestedSilage - Production in TonsSilage - Irrigated Area Harvested in AcresSilage - Operations with Area HarvestedTraditional or Indian - Area Harvested in AcresTraditional or Indian - Operations with Area HarvestedTraditional or Indian - Production in PoundsTraditional or Indian - Irrigated Area Harvested in AcresTraditional or Indian - Operations with Area HarvestedAdditionally attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.What can you do with this layer?This layer can be used throughout the ArcGIS system. Feature layers can be used just like any other vector layer. You can use feature layers as an input to geoprocessing tools in ArcGIS Pro or in Analysis in ArcGIS Online. Combine the layer with others in a map and set custom symbology or create a pop-up tailored for your users.For the details of working with feature layers the help documentation for ArcGIS Pro or the help documentation for ArcGIS Online are great places to start. The ArcGIS Blog is a great source of ideas for things you can do with feature layers.This layer is part of ArcGIS Living Atlas of the World that provides an easy way to find and explore many other beautiful and authoritative layers, maps, and applications on hundreds of topics.

Data from hybrid maize yeild trails conducted by the University of Illinois at Urbana-Champaign, Iowa State University, Kansas State University, and the University of Nebraska-Lincoln between 1934 and 2014. This digitized data was orginally published in Agricultural Experiment Station and Cooperative Extension Service reports and bulletins distributed in paper and, in later years, as Excel files.
The data set includes brand and hybrid names, trial location, and yield (bushels per acre) for all trials and years. Additional data on agronomic phenotypes, soil type, and average weather is included when reported in the orginal publications. Details about the orginal publications, data processing, etc. can be found in the included readme file. A GitHub repositiry containing the R code used to munge the data is also publically available and linked as a reference.

This dataset is a combination of data from the USDA National Statistics Service and Economic Research Service. It has been processed to create a rolling 3-year expectation of return per acre for growing corn. It factors in yield, commodity price, wastage, costs and subsidies over the period 1990-2017.

United States Crop Production: Corn for Grain data was reported at 14,604,067.000 Bushel th in 2017. This records a decrease from the previous number of 15,148,038.000 Bushel th for 2016. United States Crop Production: Corn for Grain data is updated yearly, averaging 8,200,951.000 Bushel th from Dec 1963 (Median) to 2017, with 55 observations. The data reached an all-time high of 15,148,038.000 Bushel th in 2016 and a record low of 3,548,604.000 Bushel th in 1964. United States Crop Production: Corn for Grain data remains active status in CEIC and is reported by National Agricultural Statistics Service. The data is categorized under Global Database’s USA – Table US.B068: Agriculture Crop Production.

The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides an in-depth look at the agricultural industry.This layer summarizes corn production from the 2017 Census of Agriculture at the county level.This layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online. Dataset SummaryPhenomenon Mapped: 2017 Corn ProductionCoordinate System: Web Mercator Auxiliary SphereExtent: 48 Contiguous United States and HawaiiVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017AttributesThis layer provides values for the following attributes. Note that some values are not disclosed (coded as -1 in the layer) to protect the privacy of producers in areas with limited production.Operations with SalesSales in US DollarsGrain - Area Harvested in AcresGrain - Operations with Area HarvestedGrain - Production in BushelsGrain - Irrigated Area Harvested in AcresGrain - Operations with Irrigated Area HarvestedSilage - Area Harvested in AcresSilage - Operations with Area HarvestedSilage - Production in TonsSilage - Irrigated Area Harvested in AcresSilage - Operations with Area HarvestedTraditional or Indian - Area Harvested in AcresTraditional or Indian - Operations with Area HarvestedTraditional or Indian - Production in PoundsTraditional or Indian - Irrigated Area Harvested in AcresTraditional or Indian - Operations with Area HarvestedAdditionally attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.What can you do with this layer?This layer can be used throughout the ArcGIS system. Feature layers can be used just like any other vector layer. You can use feature layers as an input to geoprocessing tools in ArcGIS Pro or in Analysis in ArcGIS Online. Combine the layer with others in a map and set custom symbology or create a pop-up tailored for your users. For the details of working with feature layers the help documentation for ArcGIS Pro or the help documentation for ArcGIS Online are great places to start. The ArcGIS Blog is a great source of ideas for things you can do with feature layers. This layer is part of ArcGIS Living Atlas of the World that provides an easy way to find and explore many other beautiful and authoritative layers, maps, and applications on hundreds of topics.

United States Crop Production: Corn for Grain: Yield Per Acre data was reported at 176.600 Bushel in 2017. This records an increase from the previous number of 174.600 Bushel for 2016. United States Crop Production: Corn for Grain: Yield Per Acre data is updated yearly, averaging 118.000 Bushel from Dec 1963 (Median) to 2017, with 55 observations. The data reached an all-time high of 176.600 Bushel in 2017 and a record low of 62.100 Bushel in 1964. United States Crop Production: Corn for Grain: Yield Per Acre data remains active status in CEIC and is reported by National Agricultural Statistics Service. The data is categorized under Global Database’s USA – Table US.B068: Agriculture Crop Production.

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.

The Twentieth Century Crop Statistics, 1900-2017 data set consists of national or subnational maize and wheat production, yield, and harvested area statistics for all available years for the period 1900-2017. It combines a new digitization of crop statistics from Italy, Spain, Indonesia, China, Mexico, Uruguay, Chile, Sweden, and Morocco with existing, publicly available, digitized data sets from India, Australia, the United States, Canada, Southern Brazil, Argentina, England, Austria, Belgium, Croatia, Czech Republic, Finland, Germany, Spain, Portugal, France, the Netherlands, and South Africa. All Units are converted to hectares (ha) for Units of harvested areas, tonnes for Units of production, and tonnes/ha for Units of yield. A ratio of 1/36.744 is used to convert wheat bushels to tonnes, and a value of 1/39.368 is used to convert maize bushels to tonnes. In all cases, the Harvest_year reported in the data set is the harvest year for the crop.

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

This dataset contains basic information about soft commodities (mostly agricultural) production, supply and distribution.

The most interesting part of this dataset is that it contains not only the latest numbers but also all the revisions USDA released for a specific Country/Commodity/Attribute/Year combination. This reflects their point of view on how large events impacted these production, supply and distribution numbers.

Questions you may answer with this dataset: - How much Coffee Brazil exported in an yearly basis between 1990 until 2021? - How the USDA changed their estimations for India 2020 Cotton production across 2019-2021? - Did Corn yearly consumption raised in the U.S. between 1990 and 1999? And between 2000 and 2010? These questions are answered with code examples, check them out

To make things interesting, try to cross this data with weather forecasts and large geopolitic events (sanctions, embargos, etc.) and specific consumption trends (e.g. Corn to make biofuel)

The Census of Agriculture, produced by the United States Department of Agriculture (USDA), provides a complete count of Texas' farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2022, and provides an in-depth look at the agricultural industry.The complete census includes over 260 separate commodities. This dataset is a subset of 23 commodities selected for publishingThis layer was produced from data obtained from the USDA National Agriculture Statistics Service (NASS) Large Datasets download page. The data were transformed and prepared for publishing using the Pivot Table geoprocessing tool in ArcGIS Pro and joined to county boundaries. The county boundaries are 2022 vintage and come from Living Atlas ACS 2022 feature layers.AttributesNote that some values are suppressed as "Withheld to avoid disclosing data for individual operations", "Not applicable", or "Less than half the rounding unit". These have been coded in the data as -999, -888, and -777 respectively.AlmondsAnimal TotalsBarleyCattleChickensCornCottonCrop TotalsGovt ProgramsGrainGrapesHayHogsLaborMachinery TotalsRiceSorghumSoybeanTractorsTrucksTurkeysWheatWinter Wheat

United States Crop Production: Corn for Grain: Area Harvested data was reported at 81,770.000 Acre th in 2018. This records a decrease from the previous number of 82,703.000 Acre th for 2017. United States Crop Production: Corn for Grain: Area Harvested data is updated yearly, averaging 70,816.000 Acre th from Dec 1963 (Median) to 2018, with 56 observations. The data reached an all-time high of 87,451.000 Acre th in 2013 and a record low of 51,443.000 Acre th in 1983. United States Crop Production: Corn for Grain: Area Harvested data remains active status in CEIC and is reported by National Agricultural Statistics Service. The data is categorized under Global Database’s USA – Table US.B068: Agriculture Crop Production.

Corn fell to 414.53 USd/BU on October 1, 2025, down 0.23% from the previous day. Over the past month, Corn's price has risen 2.86%, but it is still 4.16% lower than a year ago, 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.

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 Feed Grains Database contains statistics on four feed grains (corn, grain sorghum, barley, and oats), foreign coarse grains (feed grains plus rye, millet, and mixed grains), hay, and related items.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Query tool Zip file of CSV format data Feed Grains Data-Recent Feed Grains Data- All Years For complete information, please visit https://data.gov.

This data release provides state-level estimates of annual agricultural use of pesticide compounds by major crop or crop group for states in the conterminous United States, for years 1992-2019, compiled from data used to make county-level estimates by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). The source of these data is the same as the published county-level pesticide-use estimates for 1992-2009 (Stone, 2013), estimates for 2008-2012 (Baker and Stone, 2015), estimates for 2013-17 (Wieben, 2019), and preliminary estimates for 2018 and 2019 (Wieben, 2021a, Wieben, 2021b, respectively). County-level by-crop estimates are not published because of the increased uncertainty in estimating the geographic distribution of compounds applied to specific crops. High-acreage crops (corn, soybeans, wheat, cotton, rice, and alfalfa) are individually aggregated to state level while low-acreage crops are combined into groups (vegetables and fruit, orchards and grapes, pasture and hay, and other crops) prior to aggregating to the state level. This data release contains two tables of state-level annual agricultural pesticide-use estimates by crop or crop group (one for low estimates and one for high estimates) and associated metadata. These data were used to produce annual time-series charts for individual pesticide by crop or crop group for 1992-2019 available on the Pesticide National Synthesis Project webpage: https://doi.org/doi:10.5066/F7NP22KM. Beginning in 2019, estimates are reported for a reduced number of compounds. References cited: Baker, N.T., and Stone, W.W., 2015, Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008-12: U.S. Geological Survey Data Series 907, 9 p., accessed July 12, 2015, at http://doi.org/10.3133/ds907. Stone, W.W., 2013, Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992-2009: U.S. Geological Survey Data Series 752, 1 p. pamphlet, 14 tables, accessed July 12, 2015, at http://pubs.usgs.gov/ds/752/. Thelin, G.P., and Stone, W.W., 2013, Estimation of annual agricultural pesticide use for counties of the conterminous United States, 1992-2009: U.S. Geological Survey Scientific Investigations Report 2013-5009, 54 p., accessed July 12, 2015, at http://pubs.usgs.gov/sir/2013/5009/. Wieben, C.M., 2019, Estimated annual agricultural pesticide use for counties of the conterminous United States, 2013-17 (ver. 2.0, May 2020): U.S. Geological Survey data release, accessed January 15, 2021, at https://doi.org/10.5066/P9F2SRYH. Wieben, C.M., 2021a, Preliminary estimated annual agricultural pesticide use for counties of the conterminous United States, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P920L09S. Wieben, C.M., 2021b, Preliminary estimated annual agricultural pesticide use for counties of the conterminous United States, 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9EDTHQL.

United States Long Term Projections: Corn: Total Use data was reported at 16,135.000 Bushel mn in 2034. This records an increase from the previous number of 16,065.000 Bushel mn for 2033. United States Long Term Projections: Corn: Total Use data is updated yearly, averaging 15,455.000 Bushel mn from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 16,135.000 Bushel mn in 2034 and a record low of 13,769.000 Bushel mn in 2022. United States Long Term Projections: Corn: Total Use data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI005: Agricultural Projections: Feed Grains: Corn.

Two datasets in the EOS-WEBSTER US County Data Collection provide county-level data for crop acreage, production and yield statistics. Crop data for 22 different field crops were acquired from the National Agricultural Statistical Service (NASS) for 1972 through 1998. One dataset provides data for individual varieties/types of each crop while the second dataset provides summary data by crop only. Data can be subset by irrigated and non-irrigated areas. Sucrose content, where applicable, is also included.

EOS-WEBSTER provides seven datasets which provide county-level data on agricultural management, crop production, livestock, soil properties, geography and population. These datasets were assembled during the mid-1990's to provide driving variables for an assessment of greenhouse gas production from US agriculture using the DNDC agro-ecosystem model [see, for example, Li et al. (1992), J. Geophys. Res., 97:9759-9776; Li et al. (1996) Global Biogeochem. Cycles, 10:297-306]. The data (except nitrogen fertilizer use) were all derived from publicly available, national databases. Each dataset has a separate DIF.

The US County data has been divided into seven datasets.

 US County Data Datasets:

 1) Agricultural Management
 2) Crop Data (NASS Crop data)
 3) Crop Summary (NASS Crop data)
 4) Geography and Population
 5) Land Use
 6) Livestock Populations
 7) Soil Properties