Texas was by far the leading U.S. state in terms of total number of farms, with about 231 thousand farms by the end of 2024. Iowa was ranked second, among the leading ten states, with 86.7 thousand farms as of 2023. Farms classification In the United States farms are classified based on the farm income and government payments into six sales classes. According to the USDA, about half of all farms in the U.S. were classified in the 1,000 to 9,999 U.S. dollars sales class in 2023. Farming sector in the U.S. The total number of farms in the United States has decreased steadily since 2007. As of 2022, there were about 1.89 million farms in the U.S., down slightly from 1.9 million in the previous year. Contrastingly, the average farm acreage in the United States has increased in the past few years. The number of employees, including both part-time and full-time workers, in this sector was over 965 thousand as of 2019.

In 2024, there were about 1.88 million farms in the United States. However, the number of farms has been steadily dropping since the year 2007, when there were about 2.2 million farms in the United States. U.S. farms In 2007, the average size of farms in the United States was the smallest it had been since the year 2000. As the number of farms in the United States decrease, the average size of farms increases. Texas, the largest state in the contiguous United States, also contains the highest number of farms, at 231 thousand in 2023. Organic farming in the United States The United States has over 2.3 million hectares of organic agricultural land as of 2021. In 2022, organic food sales in the United States amounted to almost 59 billion euros, making it the largest market for organic food worldwide. In 2021, the number of certified organic farms in the United States reached 17,445, up from about 14,185 farms in 2016.

State fact sheets provide information on population, income, education, employment, federal funds, organic agriculture, farm characteristics, farm financial indicators, top commodities, and exports, for each State in the United States. Links to county-level data are included when available.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 For complete information, please visit https://data.gov.

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 cattle 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 Cattle ProductionCoordinate System: Web Mercator Auxiliary SphereExtent: 48 Contiguous United States, Alaska, 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.Cattle - Operations with SalesCattle - Sales in US DollarsCattle - Sales in HeadDairy - Operations with SalesDairy - Sales in US DollarsAdditionally 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.

ERS has been a source of major land use estimates in the United States for over 50 years, and the related U.S. cropland used for crops series dates back to 1910. The Major Land Uses (MLU) series is the longest running, most comprehensive accounting of all major uses of public and private land in the United States. The series was started in 1945, and has since been published about every 5 years, coinciding with the Census of Agriculture. See the latest report in the series, Major Uses of Land in the United States, 2007.

Data from all 14 Major Land Uses reports have been combined into a set of files showing major land use estimates by region and State from 1945 to 2007. Alaska and Hawaii were added in 1959, when they achieved Statehood. Since Alaska contains such vast acreage, 50-State totals in all categories prior to 1959 may appear to change precipitously.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: Web page with links to Excel files For complete information, please visit https://data.gov.

Hogs and pigs are one of the main sources of meat in the United States, and there is a thriving domestic pork market. As of March 2024, Iowa had an inventory of about 25.1 million hogs and pigs, making it the top producer of swine in the country by a large margin. In that same year, the second largest producer of hogs and pigs was Minnesota, with about nine million head. Swine Production Pigs have several advantages over other livestock. They are good at converting animal feed into meat and do not require large grazing areas. In addition, almost every part of the pig can be eaten or processed, making them an efficient source of meat. Thus, raising pigs for consumption is a good investment for small-scale farmers and factory farms alike. Pork Market in the U.S. Some of the classic staples of an American breakfast are bacon, sausage, or ham, which are all pork products. Pork is one of the most frequently consumed types of meat in the United States with the average American consuming about 51.1 pounds of pork per year as of 2020. In 2022, over 27 billion pounds of pork were produced in the United States.

From 1910 until 1941, net income from farming fluctuated greatly. Income peaked at 8.8 billion U.S. dollars in the late 1910s, after the U.S. joined the First World War in 1917, which caused agricultural demand to skyrocket. Production then rose to meet this demand, but the war's end resulted in a surplus of goods which drove down crop prices and led to a farming crisis in the early-1920s.

Great Depression After recovery in the late-1920s, the Great Depression saw agricultural and rural sectors become some of the hardest-hit industries in the economy, as crop prices fell once more and international trade tariffs were raised. A scenario emerged where returns were so low that farmers were losing money by taking their goods to market - a large share of agricultural produce spoiled or was destroyed as a result, all while much of the population was going hungry. This was compounded by a series of droughts and sandstorms (known as the Dust Bowl) in the South and Midwest, which led to crop failure in many areas. Many farmers' homes were foreclosed, and rural eviction rates were high. This saw the concept of the penny auction emerging - this was where neighbors would go to home auctions, intimidate potential buyers, purchase the house, and return it to its original owner - however, most farmers were not lucky enough to have this support, especially Black sharecroppers, and many families migrated westward or to urban areas in search of opportunities.

Recovery Federal relief via the Agricultural Adjustment Act (AAA) helped stabilize the agricultural sector after 1933, as part of the New Deal. The AAA granted subsidies for farmers who limited their production, therefore increasing crop prices and rejuvenating the agricultural sector (although this system unintentionally favored larger landowners over sharecroppers). The government also bought large numbers of livestock for slaughter, as a means of rapidly injecting capital into the industry. Initially, a tax was levied against large companies that processes agricultural produce (namely food, textile, and cigarette companies) in order to fund the AAA, but the Supreme Court ruled this as unconstitutional in 1936, and the government funded these subsidies from 1938 onward.

The "State Farm Income Data" dataset contains information on farm income indicators, cash receipts by commodity groups and selected commodities, and ranking tables for the 25 leading commodities and for major commodity groups for states and the U.S. Also includes ranking tables for the top 25 states for 25 leading commodities, 50-state summary of cash receipts, and farm income and leading commodities by state. Data are updated anually.

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Type the word "lists" (without quotes) in the body of the message. CONTENTS:

Cash Receipts, by Commodity Groups and Selected Commodities, 1990-1994 Farm Income Indicators for the U.S. and 50 States, 1990-94 Ranking Tables for the 25 Leading Commodities and Major Groups, 1994

United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, To Finance Agricultural Production, Other Farm Loans, Banks Ranked 1st to 100th Largest in Size by Assets was 19783.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, To Finance Agricultural Production, Other Farm Loans, Banks Ranked 1st to 100th Largest in Size by Assets reached a record high of 23601.00000 in October of 2015 and a record low of 4610.00000 in January of 1989. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, To Finance Agricultural Production, Other Farm Loans, Banks Ranked 1st to 100th Largest in Size by Assets - last updated from the United States Federal Reserve on June of 2025.

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 the time period 1992-2017, 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), and estimates for 2013-17 (Wieben, 2019). 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 1992-2017 available on the Pesticide National Synthesis Project (PNSP) webpage: https://doi.org/doi:10.5066/F7NP22KM. Data for some compounds were missing from the version 1 estimates. Pesticide use estimates for compounds with missing data have been updated in version 2.0. First posted November 27, 2019 Revised May 28, 2020, ver. 2.0 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, https://doi.org/10.5066/P9F2SRYH.

The United States Vertical Farming Market Report is Segmented by Growth Mechanism (Aeroponics, Hydroponics, and More), by Structure (Building-Based Vertical Farms, Shipping-Container Farms, and More), and by Crop Type (Leafy Greens, Herbs and Microgreens, and More). The Market Forecasts are Provided in Terms of Value (USD).

United States - Delinquency Rate on Loans to Finance Agricultural Production, Banks Ranked 1st to 100th Largest in Size by Assets was 1.68% in January of 2025, according to the United States Federal Reserve. Historically, United States - Delinquency Rate on Loans to Finance Agricultural Production, Banks Ranked 1st to 100th Largest in Size by Assets reached a record high of 14.93 in January of 1987 and a record low of 0.97 in July of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Delinquency Rate on Loans to Finance Agricultural Production, Banks Ranked 1st to 100th Largest in Size by Assets - last updated from the United States Federal Reserve on June of 2025.

Farm supply stores have experienced significant growth over the five years to 2024, driven by rising agricultural prices and increased disposable incomes. The COVID-19 pandemic spurred interest in gardening and rural lifestyles, boosting sales of animal feed, gardening tools, seeds and small-scale farming equipment. This surge in demand helped offset the negative impacts faced by other retail sectors during the pandemic. Larger companies like Tractor Supply Co. expanded their market presence, contributing to a steady increase in industry revenue, which grew at a CAGR of 5.6% to $21.7 billion over the past five years. However, higher interest rates towards the end of this period have begun to curb private spending on non-essential home improvements and large-ticket items, negatively impacting sales. Profitability for farm supply stores benefited from increased consumer spending and elevated agricultural prices. The home improvement trend during the pandemic led to a significant boost in sales, especially for pet and animal feed, agricultural equipment and replacement parts. Larger companies with strong brand recognition capitalized the most, but smaller stores also saw substantial gains. Despite these positive trends, high interest rates and persistent inflation are starting to affect consumers' disposable incomes, impacting sales and profitability for both large and small retailers. Looking ahead to the next five years, farm supply stores are expected to face several challenges. Disinflation may reduce farmers' incomes, making them more price-sensitive and potentially decreasing their spending on farming supplies. However, this could be balanced by increased purchasing power among hobby farmers and households, who may invest more in high-quality tools and equipment as their disposable incomes rise. Anticipated lower interest rates will make financing big-ticket items easier, encouraging more significant investments. The focus on sustainability will continue to grow, driving demand for eco-friendly and energy-efficient products. Revenue is expected to rise at a CAGR of 1.3% to $23.2 billion over the next five years. Although the industry may not match the rapid growth of the previous period, it is positioned for steady development, supported by ongoing demand for essential farming supplies and the increasing popularity of sustainable farming practices.

Graph and download economic data for Loans to Finance Agricultural Production, Banks Ranked 1st to 100th Largest in Size by Assets (ALFAPGT100) from Q1 1985 to Q1 2025 about finance, agriculture, production, assets, loans, banks, depository institutions, and USA.

The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircraft and drones), and ground based hyperspectral imaging spectroscopy. The GHISA for the Conterminous United States (GHISACONUS) Version 1 product provides dominant crop data in different growth stages for various agroecological zones (AEZs) of the United States. The GHISA hyperspectral library of the five major agricultural crops (e.g., winter wheat, rice, corn, soybeans, and cotton) for CONUS was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired from 2008 through 2015 from different AEZs of CONUS using the United States Department of Agriculture (USDA) Cropland Data Layer (CDL) as reference data.GHISACONUS is comprised of seven AEZs throughout the United States covering the major agricultural crops in six different growth stages: emergence/very early vegetative (Emerge VEarly), early and mid vegetative (Early Mid), late vegetative (Late), critical, maturing/senescence (Mature Senesc), and harvest. The crop growth stage data were derived using crop calendars generated by the Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison. Provided in the CSV file is the spectral library including image information, geographic coordinates, corresponding agroecological zone, crop type labels, and crop growth stage labels for the United States.

Agricultural Production: Sugarcane: Bihar data was reported at 12,740.000 Ton th in 2023. This records an increase from the previous number of 12,030.000 Ton th for 2022. Agricultural Production: Sugarcane: Bihar data is updated yearly, averaging 5,482.800 Ton th from Mar 1981 (Median) to 2023, with 43 observations. The data reached an all-time high of 20,116.300 Ton th in 2019 and a record low of 3,480.400 Ton th in 1981. Agricultural Production: Sugarcane: Bihar data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under Global Database’s India – Table IN.RIB025: Production of Non Foodgrains in Major States: Sugarcane.

United States - Loans to Finance Agricultural Production, Banks Ranked 1st to 100th Largest in Size by Assets was 20006.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Loans to Finance Agricultural Production, Banks Ranked 1st to 100th Largest in Size by Assets reached a record high of 21704.00000 in October of 2015 and a record low of 4581.00000 in January of 1988. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Loans to Finance Agricultural Production, Banks Ranked 1st to 100th Largest in Size by Assets - last updated from the United States Federal Reserve on June of 2025.

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

United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, To Finance Agricultural Production, Other Farm Loans, Banks Not Among the 100 Largest in Size by Assets was 60134.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, To Finance Agricultural Production, Other Farm Loans, Banks Not Among the 100 Largest in Size by Assets reached a record high of 62791.00000 in October of 2024 and a record low of 23930.00000 in January of 1988. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, To Finance Agricultural Production, Other Farm Loans, Banks Not Among the 100 Largest in Size by Assets - last updated from the United States Federal Reserve on July of 2025.

United States agricultural researchers have many options for making their data available online. This dataset aggregates the primary sources of ag-related data and determines where researchers are likely to deposit their agricultural data. These data serve as both a current landscape analysis and also as a baseline for future studies of ag research data. Purpose As sources of agricultural data become more numerous and disparate, and collaboration and open data become more expected if not required, this research provides a landscape inventory of online sources of open agricultural data. An inventory of current agricultural data sharing options will help assess how the Ag Data Commons, a platform for USDA-funded data cataloging and publication, can best support data-intensive and multi-disciplinary research. It will also help agricultural librarians assist their researchers in data management and publication. The goals of this study were to establish where agricultural researchers in the United States-- land grant and USDA researchers, primarily ARS, NRCS, USFS and other agencies -- currently publish their data, including general research data repositories, domain-specific databases, and the top journals compare how much data is in institutional vs. domain-specific vs. federal platforms determine which repositories are recommended by top journals that require or recommend the publication of supporting data ascertain where researchers not affiliated with funding or initiatives possessing a designated open data repository can publish data Approach The National Agricultural Library team focused on Agricultural Research Service (ARS), Natural Resources Conservation Service (NRCS), and United States Forest Service (USFS) style research data, rather than ag economics, statistics, and social sciences data. To find domain-specific, general, institutional, and federal agency repositories and databases that are open to US research submissions and have some amount of ag data, resources including re3data, libguides, and ARS lists were analysed. Primarily environmental or public health databases were not included, but places where ag grantees would publish data were considered. Search methods We first compiled a list of known domain specific USDA / ARS datasets / databases that are represented in the Ag Data Commons, including ARS Image Gallery, ARS Nutrition Databases (sub-components), SoyBase, PeanutBase, National Fungus Collection, i5K Workspace @ NAL, and GRIN. We then searched using search engines such as Bing and Google for non-USDA / federal ag databases, using Boolean variations of “agricultural data” /“ag data” / “scientific data” + NOT + USDA (to filter out the federal / USDA results). Most of these results were domain specific, though some contained a mix of data subjects. We then used search engines such as Bing and Google to find top agricultural university repositories using variations of “agriculture”, “ag data” and “university” to find schools with agriculture programs. Using that list of universities, we searched each university web site to see if their institution had a repository for their unique, independent research data if not apparent in the initial web browser search. We found both ag specific university repositories and general university repositories that housed a portion of agricultural data. Ag specific university repositories are included in the list of domain-specific repositories. Results included Columbia University – International Research Institute for Climate and Society, UC Davis – Cover Crops Database, etc. If a general university repository existed, we determined whether that repository could filter to include only data results after our chosen ag search terms were applied. General university databases that contain ag data included Colorado State University Digital Collections, University of Michigan ICPSR (Inter-university Consortium for Political and Social Research), and University of Minnesota DRUM (Digital Repository of the University of Minnesota). We then split out NCBI (National Center for Biotechnology Information) repositories. Next we searched the internet for open general data repositories using a variety of search engines, and repositories containing a mix of data, journals, books, and other types of records were tested to determine whether that repository could filter for data results after search terms were applied. General subject data repositories include Figshare, Open Science Framework, PANGEA, Protein Data Bank, and Zenodo. Finally, we compared scholarly journal suggestions for data repositories against our list to fill in any missing repositories that might contain agricultural data. Extensive lists of journals were compiled, in which USDA published in 2012 and 2016, combining search results in ARIS, Scopus, and the Forest Service's TreeSearch, plus the USDA web sites Economic Research Service (ERS), National Agricultural Statistics Service (NASS), Natural Resources and Conservation Service (NRCS), Food and Nutrition Service (FNS), Rural Development (RD), and Agricultural Marketing Service (AMS). The top 50 journals' author instructions were consulted to see if they (a) ask or require submitters to provide supplemental data, or (b) require submitters to submit data to open repositories. Data are provided for Journals based on a 2012 and 2016 study of where USDA employees publish their research studies, ranked by number of articles, including 2015/2016 Impact Factor, Author guidelines, Supplemental Data?, Supplemental Data reviewed?, Open Data (Supplemental or in Repository) Required? and Recommended data repositories, as provided in the online author guidelines for each the top 50 journals. Evaluation We ran a series of searches on all resulting general subject databases with the designated search terms. From the results, we noted the total number of datasets in the repository, type of resource searched (datasets, data, images, components, etc.), percentage of the total database that each term comprised, any dataset with a search term that comprised at least 1% and 5% of the total collection, and any search term that returned greater than 100 and greater than 500 results. We compared domain-specific databases and repositories based on parent organization, type of institution, and whether data submissions were dependent on conditions such as funding or affiliation of some kind. Results A summary of the major findings from our data review: Over half of the top 50 ag-related journals from our profile require or encourage open data for their published authors. There are few general repositories that are both large AND contain a significant portion of ag data in their collection. GBIF (Global Biodiversity Information Facility), ICPSR, and ORNL DAAC were among those that had over 500 datasets returned with at least one ag search term and had that result comprise at least 5% of the total collection. Not even one quarter of the domain-specific repositories and datasets reviewed allow open submission by any researcher regardless of funding or affiliation. See included README file for descriptions of each individual data file in this dataset. Resources in this dataset:Resource Title: Journals. File Name: Journals.csvResource Title: Journals - Recommended repositories. File Name: Repos_from_journals.csvResource Title: TDWG presentation. File Name: TDWG_Presentation.pptxResource Title: Domain Specific ag data sources. File Name: domain_specific_ag_databases.csvResource Title: Data Dictionary for Ag Data Repository Inventory. File Name: Ag_Data_Repo_DD.csvResource Title: General repositories containing ag data. File Name: general_repos_1.csvResource Title: README and file inventory. File Name: README_InventoryPublicDBandREepAgData.txt