100+ datasets found
  1. United States Department of Agriculture - National Agricultural Statistics...

    • datalumos.org
    Updated Sep 26, 2025
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    United States Department of Agriculture National Agricultural Statistics Service (2025). United States Department of Agriculture - National Agricultural Statistics Service - Quick Stats [Dataset]. http://doi.org/10.3886/E238414V1
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    Dataset updated
    Sep 26, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Authors
    United States Department of Agriculture National Agricultural Statistics Service
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2002 - 2025
    Area covered
    United States
    Description

    The Quick Stats database is the most comprehensive tool for accessing agricultural data published by NASS. It allows you to customize your query by commodity, location, or time period. You can then visualize the data on a map, manipulate and export the results, or save a link for future use.Data is available By StateBy SubjectCrops and PlantsDemographicsEconomic and PricesEnvironmentalLivestock and AnimalsResearch, Science, and TechnologyThere are 12 data files, each in gzip'd TSV format.

  2. Quick Stats Agricultural Database

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Apr 21, 2025
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    National Agricultural Statistics Service, Department of Agriculture (2025). Quick Stats Agricultural Database [Dataset]. https://catalog.data.gov/dataset/quick-stats-agricultural-database
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Description

    Quick Stats is the National Agricultural Statistics Service's (NASS) online, self-service tool to access complete results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.

  3. CropScape - Cropland Data Layer

    • agdatacommons.nal.usda.gov
    • data.cnra.ca.gov
    • +3more
    bin
    Updated Nov 22, 2025
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    USDA National Agricultural Statistics Service (2025). CropScape - Cropland Data Layer [Dataset]. http://doi.org/10.15482/USDA.ADC/1227096
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    binAvailable download formats
    Dataset updated
    Nov 22, 2025
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Authors
    USDA National Agricultural Statistics Service
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The Cropland Data Layer (CDL), hosted on CropScape, provides a raster, geo-referenced, crop-specific land cover map for the continental United States. The CDL also includes a crop mask layer and planting frequency layers, as well as boundary, water and road layers. The Boundary Layer options provided are County, Agricultural Statistics Districts (ASD), State, and Region. The data is created annually using moderate resolution satellite imagery and extensive agricultural ground truth. Users can select a geographic area of interest or import one, then access acreage statistics for a specific year or view the change from one year to another. The data can be exported or added to the CDL. The information is useful for issues related to agricultural sustainability, biodiversity, and land cover monitoring, especially due to extreme weather events. Resources in this dataset:Resource Title: CropScape and Cropland Data Layer - National Download. File Name: Web Page, url: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php Downloads available as zipped files at https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php --

    National CDL's -- by year, 2008-2020. Cropland Data Layer provides a raster, geo-referenced, crop-specific land cover map for the continental United States. The CDL also includes a crop mask layer and planting frequency layers, as well as boundary, water and road layers. The Boundary Layer options provided are County, Agricultural Statistics Districts (ASD), State, and Region. National Cultivated Layer -- based on the most recent five years (2013-2020). National Frequency Layer -- the 2017 Crop Frequency Layer identifies crop specific planting frequency and are based on land cover information derived from the 2008 through 2020CDL's. There are currently four individual crop frequency data layers that represent four major crops: corn, cotton, soybeans, and wheat. National Confidence Layer -- the Confidence Layer spatially represents the predicted confidence that is associated with that output pixel, based upon the rule(s) that were used to classify it. Western/Eastern/Central U.S.

    Visit https://nassgeodata.gmu.edu/CropScape/ for the interactive map including tutorials and basic instructions. These options include a "Demo Video", "Help", "Developer Guide", and "FAQ".

  4. USDA NASS Cropland Data Layers

    • developers.google.com
    Updated Jan 1, 2024
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    USDA National Agricultural Statistics Service (2024). USDA NASS Cropland Data Layers [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/USDA_NASS_CDL
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    Dataset updated
    Jan 1, 2024
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Time period covered
    Jan 1, 1997 - Jan 1, 2024
    Area covered
    Description

    The Cropland Data Layer (CDL) is a crop-specific land cover data layer created annually for the continental United States using moderate resolution satellite imagery and extensive agricultural ground truth. The CDL is created by the USDA, National Agricultural Statistics Service (NASS), Research and Development Division, Geospatial Information Branch, Spatial Analysis Research Section. For detailed FAQ please visit CropScape and Cropland Data Layers - FAQs. To explore details about the classification accuracies and utility of the data, see state-level omission and commission errors by crop type and year. The asset date is aligned with the calendar year of harvest. For most crops the planted and harvest year are the same. Some exceptions: winter wheat is unique, as it is planted in the prior year. A hay crop like alfalfa could have been planted years prior. For winter wheat the data also have a class called "Double Crop Winter Wheat/Soybeans". Some mid-latitude areas of the US have conditions such that a second crop (usually soybeans) can be planted immediately after the harvest of winter wheat and itself still be harvested within the same year. So for mapping winter wheat areas use both classes (use both values 24 and 26). While the CDL date is aligned with year of harvest, the map itself is more representative of what was planted. In other words, a small percentage of fields on a given year will not be harvested. Some non-agricultural categories are duplicate due to two very different epochs in methodology. The non-ag codes 63-65 and 81-88 are holdovers from the older methodology and will only appear in CDLs from 2007 and earlier. The non-ag codes from 111-195 are from the current methodology which uses the USGS NLCD as non-ag training and will only appear in CDLs 2007 and newer. 2007 was a transition year so there may be both sets of categories in the 2007 national product but will not appear within the same state. Note: The 2024 CDL only has the data band. The cultivated and confidence bands are yet to be released by the provider.

  5. NASS Data Visualization

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 21, 2025
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    USDA National Agricultural Statistics Service (2025). NASS Data Visualization [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/NASS_Data_Visualization/24660801
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    binAvailable download formats
    Dataset updated
    Nov 21, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Authors
    USDA National Agricultural Statistics Service
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    NASS Data Visualization provides a dynamic web query interface supporting searches by Commodity (e.g. Cotton, Corn, Farms & Land, Grapefruit, Hogs, Oranges, Soybeans, Wheat), Statistic type (automatically refreshed based upon choice of Commodity - e.g. Inventory, Head, Acres Planted, Acres Harvested, Production, Yield) to generate chart, table, and map visualizations by year (2001-2016), as well as a link to download the resulting data in CSV format compatible for updating databases and spreadsheets. Resources in this dataset:Resource Title: NASS Data Visualization web site. File Name: Web Page, url: https://nass.usda.gov/Data_Visualization/index.php Query interface with visualization of results as charts, tables, and maps.

  6. b

    Crops for 2012, Derived from National Agricultural Statistics Service:...

    • geo.btaa.org
    Updated Dec 30, 2013
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    United States Department of Agriculture (2013). Crops for 2012, Derived from National Agricultural Statistics Service: Indiana [Dataset]. https://geo.btaa.org/catalog/cf3cbf78-c3a1-41d9-b46f-7f074c507dd5
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    Dataset updated
    Dec 30, 2013
    Authors
    United States Department of Agriculture
    Time period covered
    2013
    Area covered
    Indiana
    Description

    The following is excerpted from the metadata provided by NASS (USDA) for the source data set CDL_2012_CLIP_20131230093625_434373848.tif: "The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2012 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Disaster Monitoring Constellation (DMC) DEIMOS-1 and UK2 sensors collected during the current growing season. "Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Database 2006 (NLCD 2006), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. "Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2006 is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer."

  7. Agricultural (Farm) Labor Survey

    • datalumos.org
    Updated Sep 29, 2025
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    USDA National Agriculture Statistics Service (2025). Agricultural (Farm) Labor Survey [Dataset]. http://doi.org/10.3886/E238481V1
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    Dataset updated
    Sep 29, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Authors
    USDA National Agriculture Statistics Service
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 4, 1930 - May 21, 2025
    Area covered
    Contiguous United States of America
    Description

    NASS publishes the Farm Labor report semi-annually, in May and November. The May report includes employment and wage estimates based on January and April reference weeks, and the November report includes estimates based on July and October reference weeks. In each case, the reference week is the Sunday to Saturday period that includes the 12th day of the month. The report includes quarterly estimates of number of hired workers and average hours worked per worker during each reference week. In addition, it includes quarterly estimates of average hourly wage rates for field workers, livestock workers, field and livestock workers combined, and all hired workers (including supervisors/managers and other workers). The November report additionally provides the following annual data based on the quarterly estimates: average number of workers, weighted average hours worked per worker; and weighted average hourly wage rates for field workers, livestock workers, field and livestock workers combined, and all hired workers.

  8. USDA NASS Land Values Dataset Integration

    • gmore.app
    json
    Updated Nov 18, 2025
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    USDA NASS (2025). USDA NASS Land Values Dataset Integration [Dataset]. https://www.gmore.app/tools/land-value-calculator
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    jsonAvailable download formats
    Dataset updated
    Nov 18, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Description

    Integration of USDA National Agricultural Statistics Service land value data for all US states and counties

  9. a

    United States Department of Agriculture (USDA) Census of Agriculture 2017 -...

    • supply-chain-data-hub-nmcdc.hub.arcgis.com
    • chi-phi-nmcdc.opendata.arcgis.com
    • +1more
    Updated May 19, 2022
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    New Mexico Community Data Collaborative (2022). United States Department of Agriculture (USDA) Census of Agriculture 2017 - Federal Payments [Dataset]. https://supply-chain-data-hub-nmcdc.hub.arcgis.com/datasets/united-states-department-of-agriculture-usda-census-of-agriculture-2017-federal-payments
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    Dataset updated
    May 19, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    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 payments made to producers by the Federal government 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: Payments made to producers by the Federal governmentCoordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible 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.Federal Payments - Operations with ReceiptsFederal Payments - Receipts in US DollarsFederal Payments - Receipts in US Dollars per OperationFederal Payments not Including Conservation and Wetland Programs - Operations with ReceiptsFederal Payments not Including Conservation and Wetland Programs - Receipts in US DollarsFederal Payments not Including Conservation and Wetland Programs - Receipts in US Dollars per OperationFederal Payments for Conservation and Wetland Programs - Operations with ReceiptsFederal Payments for Conservation and Wetland Programs - Receipts in US DollarsFederal Payments for Conservation and Wetland Programs - Receipts in US Dollars per OperationConservation and wetland programs include:Conservation Reserve Program (CRP)Wetlands Reserve Program (WRP)Farmable Wetlands Program (FWP)Conservation Reserve Enhancement Program (CREP)Other programs with payments to producers include:2014 Agricultural Act (Farm Bill)Agriculture Risk Coverage (ARC)Price Loss Coverage (PLC)Commodity Credit Corporation (CCC)Loan Deficiency PaymentsDisaster Assistance ProgramsState and local government agricultural program payments and Federal crop insurance payments are not included.Additionally, 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.

  10. USDA National Agricultural Statistics Service Mink Surveys

    • datalumos.org
    Updated Sep 25, 2025
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    USDA (2025). USDA National Agricultural Statistics Service Mink Surveys [Dataset]. http://doi.org/10.3886/E238383V2
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    Dataset updated
    Sep 25, 2025
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Authors
    USDA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 7, 1976 - Jul 11, 2025
    Area covered
    United States of America
    Description

    The annual Mink survey is conducted from early May through late May from all known producers to measure inventories, production and value of production. It is released in late July. Data is provided in pdf and txt formats.

  11. Data from: USDA National Agricultural Statistics Service (NASS) Agricultural...

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 22, 2025
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    Yulu Xia; Scott Shimmin (2025). USDA National Agricultural Statistics Service (NASS) Agricultural Chemical Use Database [Dataset]. http://doi.org/10.15482/USDA.ADC/1235563
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    binAvailable download formats
    Dataset updated
    Nov 22, 2025
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Cooperative State Research, Education, and Extension Service
    Authors
    Yulu Xia; Scott Shimmin
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This site provides interactive access to data from NASS, as part of a cooperative effort among USDA, the USDA Regional Pest Management Centers and the NSF Center for Integrated Pest Management (CIPM). All data available have been previously published by NASS and have been consolidated at the state level. Commodity acreages and active ingredient agricultural chemical use (% acres treated, ai/acre/treatment, average number of treatments, ai/acre, total ai used) data are available. All data can be searched by commodity, year, state and active ingredient. For more details on methodology, please see NASS website. Search results can be obtained in web format and as downloadable Excel files. For each individual active ingredient, commodity, year and statistic, dynamic U.S. maps of each use statistic can be generated. Agricultural chemical usage statistic data can also be seen in a graphical format. Currently, this site contains the data from 1990. We will continue to update the database annually. As this site is enhanced, we will also provide means and totals of the statistics over years, states, and commodities. This project is funded by USDA, The Cooperative State Research, Education, and Extension Service (CSREES), project award No. 2001-34366-10324. Resources in this dataset:Resource Title: Agricultural Chemical Use Program Data. File Name: Web Page, url: https://www.nass.usda.gov/Surveys/Guide_to_NASS_Surveys/Chemical_Use/#data Since 2009, the release of chemical use surveys is available through Quick Stats. The following materials are available for each survey: highlights fact sheet, a methodology paper, and a set of data tables featuring commonly requested information.

  12. 2007 Census of Agriculture Race, Ethnicity and Gender Profile Data

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Apr 21, 2025
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    National Agricultural Statistics Service, Department of Agriculture (2025). 2007 Census of Agriculture Race, Ethnicity and Gender Profile Data [Dataset]. https://catalog.data.gov/dataset/2007-census-of-agriculture-race-ethnicity-and-gender-profile-data
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Description

    This file contains data on race, ethnicity, and gender of U.S. farm and ranch operators collected by the 2007 Census of Agriculture.

  13. c

    USDA Census of Agriculture 2017 - Federal Payments

    • resilience.climate.gov
    • ars-geolibrary-usdaars.hub.arcgis.com
    • +1more
    Updated Aug 16, 2022
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    Esri (2022). USDA Census of Agriculture 2017 - Federal Payments [Dataset]. https://resilience.climate.gov/datasets/esri::usda-census-of-agriculture-2017-federal-payments
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esri
    Area covered
    Description

    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 payments made to producers by the Federal government 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: Payments made to producers by the Federal government Coordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible 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.Federal Payments - Operations with ReceiptsFederal Payments - Receipts in US DollarsFederal Payments - Receipts in US Dollars per OperationFederal Payments not Including Conservation and Wetland Programs - Operations with ReceiptsFederal Payments not Including Conservation and Wetland Programs - Receipts in US DollarsFederal Payments not Including Conservation and Wetland Programs - Receipts in US Dollars per OperationFederal Payments for Conservation and Wetland Programs - Operations with ReceiptsFederal Payments for Conservation and Wetland Programs - Receipts in US DollarsFederal Payments for Conservation and Wetland Programs - Receipts in US Dollars per OperationConservation and wetland programs include:Conservation Reserve Program (CRP)Wetlands Reserve Program (WRP)Farmable Wetlands Program (FWP)Conservation Reserve Enhancement Program (CREP)Other programs with payments to producers include:2014 Agricultural Act (Farm Bill)Agriculture Risk Coverage (ARC)Price Loss Coverage (PLC)Commodity Credit Corporation (CCC)Loan Deficiency PaymentsDisaster Assistance ProgramsState and local government agricultural program payments and Federal crop insurance payments are not included.Additionally, 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.

  14. USDA New Mexico Census of Agriculture

    • catalog.newmexicowaterdata.org
    html
    Updated Oct 23, 2023
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    US Department of Agriculture (2023). USDA New Mexico Census of Agriculture [Dataset]. https://catalog.newmexicowaterdata.org/dataset/usda-nm-census-of-agriculture
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    htmlAvailable download formats
    Dataset updated
    Oct 23, 2023
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Area covered
    New Mexico
    Description

    The USDA's National Agricultural Statistics Service (NASS) conducts hundreds of surveys every year and prepares reports covering virtually every aspect of U.S. agriculture. Production and supplies of food and fiber, prices paid and received by farmers, farm labor and wages, farm finances, chemical use, and changes in the demographics of U.S. producers are only a few examples.

  15. Cropland Data Layer

    • catalog.data.gov
    • gimi9.com
    Updated May 8, 2025
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    National Agricultural Statistics Service, Department of Agriculture (2025). Cropland Data Layer [Dataset]. https://catalog.data.gov/dataset/cropscape-cropland-data-layer
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    Dataset updated
    May 8, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Description

    The USDA National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) is an annual raster, geo-referenced, crop-specific land cover data layer produced using satellite imagery and extensive agricultural ground reference data. The program began in 1997 with limited coverage and in 2008 forward expanded coverage to the entire Continental United States. Please note that no farmer reported data are derivable from the Cropland Data Layer.

  16. w

    USDA, National Agricultural Statistics Service, 2010 New York Cropland Data...

    • data.wu.ac.at
    jsp
    Updated May 17, 2013
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    Cornell University (2013). USDA, National Agricultural Statistics Service, 2010 New York Cropland Data Layer [Dataset]. https://data.wu.ac.at/odso/data_gov/N2EwYjgyMzgtOWRiOC00NjcwLWFhYWUtYmYzMTlkYjBlNGVi
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    jspAvailable download formats
    Dataset updated
    May 17, 2013
    Dataset provided by
    Cornell University
    Area covered
    54e5052d7ab9154bed04060de03a89dbd586b288
    Description

    The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2010 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Dataset 2001 (NLCD 2001), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2001 is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer.

  17. c

    USDA Census of Agriculture 2022 - All

    • resilience.climate.gov
    Updated Apr 17, 2024
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    Esri (2024). USDA Census of Agriculture 2022 - All [Dataset]. https://resilience.climate.gov/datasets/esri::usda-census-of-agriculture-2022-all
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    Dataset updated
    Apr 17, 2024
    Dataset authored and provided by
    Esri
    Area covered
    Description

    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. The complete census includes over 260 separate commodities. This dataset is a subset of 23 commodities selected for publishing. 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: Agricultural commoditiesGeographic 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: Almonds Animal Totals Barley, Cattle Chickens Corn Cotton Crop TotalsFarm Operations Government Programs Grain Grapes Hay Hogs Labor Machinery Totals Milk Producers Rice Sorghum Soybean Tractors Trucks Turkeys Wheat Winter WheatGeography 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.

  18. Land Use Strata - Selected States

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 21, 2025
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    USDA National Agricultural Statistics Service (2025). Land Use Strata - Selected States [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Land_Use_Strata_-_Selected_States/24661395
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    binAvailable download formats
    Dataset updated
    Nov 21, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Authors
    USDA National Agricultural Statistics Service
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. The boundaries of the strata usually follow identifiable features such as roads, railroads and waterways. The strata boundaries do not coincide with any political boundaries, with the exception of state boundaries. This site provides links to download ESRI shape and symbology layer files, as well as low resolution JPEG or higher resolution PDF images for each state. Also included in the FAQ are how to cite the data set, time period, how geographic features are represented and described, originators and contributors, contacts to address questions about the data, how the data set was created (previous works, e.g. USGS topographic quadrangles, US Census Bureau, space imagery, etc.), data generation-, processing-, and modification methods, and similar or related data. Applicable legal restrictions on access or use of the data and disclaimers are provided. Resources in this dataset:Resource Title: Land Use Strata - Selected States. File Name: Web Page, url: https://www.nass.usda.gov/Research_and_Science/stratafront2b.php This site provides links to download ESRI shape and symbology layer files, as well as low resolution JPEG or higher resolution PDF images for each state.

  19. M

    Cropland Data Layer 2022, Minnesota

    • gisdata.mn.gov
    fgdb, html
    Updated Nov 22, 2024
    + more versions
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    Agriculture Department (2024). Cropland Data Layer 2022, Minnesota [Dataset]. https://gisdata.mn.gov/dataset/agri-cropland-data-layer-2022
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    html, fgdbAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Agriculture Department
    Area covered
    Minnesota
    Description

    The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer.

    This is the 2022 NASS USDA CDL dataset for Minnesota. The dataset was clipped and downloaded using the USDA NASS CropCROS online web application: https://croplandcros.scinet.usda.gov/

    The Minnesota Department of Agriculture (MDA) did minimal processing on this dataset to make more useful for Minnesota-specific work. The lineage section describes these steps taken, but the full description of the Cropland Data Layer can be found in the NASS USDA Metadata at https://www.nass.usda.gov/Research_and_Science/Cropland/metadata/metadata_mn22.htm

  20. b

    Cropland Data Layer [Wisconsin] {2018}

    • geo.btaa.org
    Updated Apr 26, 2021
    + more versions
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    United States. Department of Agriculture (2021). Cropland Data Layer [Wisconsin] {2018} [Dataset]. https://geo.btaa.org/catalog/AF9998DD-DDEA-4F07-A17D-4AAF3BDBE671
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    Dataset updated
    Apr 26, 2021
    Authors
    United States. Department of Agriculture
    Time period covered
    2018
    Area covered
    Wisconsin
    Description

    The USDA National Agricultural Statistics Service (NASS) releases the annual Cropland Data Layer (CDL) via the NASS CropScape geospatial portal. The CDL product depicts agricultural land cover over the Continental United States at 30 meters resolution. CropScape includes historical data dating back to 1997 for some locales. The CDL is an annual raster, geo-referenced, crop-specific land cover data layer produced using satellite imagery and extensive agricultural ground truth collected during the current growing season. The strength and emphasis of CropScape and the CDL is agricultural land cover. Please note that no farmer reported data are derivable from CropScape or the Cropland Data Layer.Please reference CropScape (https://nassgeodata.gmu.edu/CropScape/) or the official CDL website (https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php) for a list of the available states and years of data and the individual metadata files that contain the technical details. NASS developed both the CropScape and VegScape web services in cooperation with the Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA. Metadata, Frequently Asked Questions (FAQs), and the most current year of data is available free for download at the official website: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php

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United States Department of Agriculture National Agricultural Statistics Service (2025). United States Department of Agriculture - National Agricultural Statistics Service - Quick Stats [Dataset]. http://doi.org/10.3886/E238414V1
Organization logoOrganization logo

United States Department of Agriculture - National Agricultural Statistics Service - Quick Stats

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53 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 26, 2025
Dataset provided by
National Agricultural Statistics Servicehttp://www.nass.usda.gov/
United States Department of Agriculturehttp://usda.gov/
Authors
United States Department of Agriculture National Agricultural Statistics Service
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
2002 - 2025
Area covered
United States
Description

The Quick Stats database is the most comprehensive tool for accessing agricultural data published by NASS. It allows you to customize your query by commodity, location, or time period. You can then visualize the data on a map, manipulate and export the results, or save a link for future use.Data is available By StateBy SubjectCrops and PlantsDemographicsEconomic and PricesEnvironmentalLivestock and AnimalsResearch, Science, and TechnologyThere are 12 data files, each in gzip'd TSV format.

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