This statistic presents the value added of the agriculture sector in the United States from 2000 to 2023 and provides a forecast for 2024 (in billion U.S. dollars). In 2023, the net value added of the United States agricultural sector amounted to approximately 231 billion U.S. dollars based on current U.S. dollar values.

In 2024, the average value of U.S. farm real estate was 4,170 U.S. dollars per acre. Compared to one decade earlier, the value has increased by almost 40 percent. Generally, the value of U.S. farm real estate has had an upward trend since 1970. U.S. farms The number of farms in the United States has conversely been decreasing each year, reaching about two million farms as of 2022. That year, Texas had the most farms out of any other U.S. state by far, with about 246,000 farms. Missouri and Iowa had the second and third most farms, though neither state exceeded 100,000 farms. Agricultural trade Agricultural products encompass any products from agricultural origin that are meant for human consumption or animal feed. Agricultural products can include livestock products or crops. In 2022, the U.S. exported about 196.4 billion U.S. dollars’ worth of agricultural goods worldwide, increasing from the previous several years. Mexico is a key destination for U.S. agricultural products and imported just over 28 billion dollars’ worth in 2022, more than Europe and Eurasia combined.

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.

The timeline shows the crop value of the dry pulse and vegetable industry in the United States from 2014 to 2023, by type. In 2023, the crop value of dry beans, peas and lentils in the U.S. amounted to approximately 1.67 billion U.S. dollars.

The Quick Stats Database is the most comprehensive tool for accessing agricultural data published by the USDA National Agricultural Statistics Service (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 as an output file compatible for updating databases and spreadsheets, or save a link for future use. Quick Stats contains official published aggregate estimates related to U.S. agricultural production. County level data are also available via Quick Stats. The data include the total crops and cropping practices for each county, and breakouts for irrigated and non-irrigated practices for many crops, for selected States. The database allows custom extracts based on commodity, year, and selected counties within a State, or all counties in one or more States. The county data includes totals for the Agricultural Statistics Districts (county groupings) and the State. The download data files contain planted and harvested area, yield per acre and production. NASS develops these estimates from data collected through:

hundreds of sample surveys conducted each year covering virtually every aspect of U.S. agriculture

the Census of Agriculture conducted every five years providing state- and county-level aggregates Resources in this dataset:Resource Title: Quick Stats database. File Name: Web Page, url: https://quickstats.nass.usda.gov/ Dynamic drill-down filtered search by Commodity, Location, and Date range, beginning with Census or Survey data. Filter lists are refreshed based upon user choice allowing the user to fine-tune the search.

This statistic shows the total value of farm real estate in the United States from 2004 to 2023. In 2023, the total value of farmland and buildings in the U.S. came to around 3.3 trillion U.S. dollars.

Context

Living in the Midwest United States, corn and soybeans are the staple crops that always fascinated me.

Content

The data contain annual numbers for acres planted, acres harvested, and the value of the crop production. Some data is not reported, which makes it even more fun to work with!

Acknowledgements

The data was culled from the National Agricultural Statistics Service (NASS) offers Quick Stats, an on-line database containing official published aggregate estimates related to U.S. agricultural production. NASS develops these estimates from data collected through:

1. hundreds of sample surveys conducted each year covering virtually every aspect of U.S. agriculture
2. the Census of Agriculture conducted every five years providing state- and county-level aggregates

Inspiration

Using this relatively small dataset, I am trying to include other sources (e.g. weather/climate data) to provide explanation for both productive and unproductive crop years.

Increased productivity is the main contributor to growth in U.S. agriculture. This data set provides estimates of productivity growth in the U.S. farm sector for the 1948-2011 period, and estimates of the growth and relative levels of productivity across the States for the period 1960-2004.

Graph and download economic data for Percent of Employment in Agriculture in the United States (DISCONTINUED) (USAPEMANA) from 1970 to 2012 about agriculture, percent, employment, and USA.

This dataset contains estimates of proportional area of 18 major crops for each county in the United States at roughly decadal time steps between 1840 and 2017, and was used for analyses of historical changes in crop area, diversity, and distribution published in:Crossley, MS, KD Burke, SD Schoville, VC Radeloff. (2020). Recent collapse of crop belts and declining diversity of US agriculture since 1840. Global Change Biology (in press).The original data used to curate this dataset was derived by Haines et al. (ICPSR 35206) from USDA Agricultural Census archives (https://www.nass.usda.gov/AgCensus/). This dataset builds upon previous work in that crop values are georeferenced and rectified to match 2012 county boundaries, and several inconsistencies in the tabular-formatted data have been smoothed-over. In particular, smoothing included conversion of values of production (e.g. bushels, lbs, typical of 1840-1880 censuses) into values of area (using USDA NASS yield data), imputation of missing values for certain crop x county x year combinations, and correcting values for counties whose crop totals exceeded the possible land area.Please contact the PI, Mike Crossley, with any questions or requests: mcrossley3@gmail.com

United States Crop Production: Cotton: American Pima data was reported at 779.000 Bale th in 2018. This records an increase from the previous number of 699.500 Bale th for 2017. United States Crop Production: Cotton: American Pima data is updated yearly, averaging 433.000 Bale th from Dec 1978 (Median) to 2018, with 41 observations. The data reached an all-time high of 851.800 Bale th in 2007 and a record low of 79.600 Bale th in 1981. United States Crop Production: Cotton: American Pima 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 total beef production in the United States is estimated to be 26.96 billion pounds in 2023, down from 28.29 billion pounds in the previous year. Over the last two decades, the total U.S. beef production has fluctuated slightly but remained stable overall.

Beef retail in the United States Beef has the highest retail sales of any fresh meat in the United States, as of 2021. In that year, over 30 billion U.S. dollars worth of fresh beef were sold in the United States. The retail price for 100 percent ground beef in the United States was 4.8 U.S. dollars per pound in 2022, up from 3.95 U.S. dollars in 2020. Beef brisket, on the other hand, was priced on average around 8.84 U.S. dollars per pound in major grocery retailers.

U.S. beef consumption The United States consumes more beef than any other country in the world. Consumption of beef amounted to around 59 pounds per capita on an annual basis. This was projected to decrease slowly until 2032.

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".

[ Note: This dataset supersedes Version 1, https://doi.org/10.15482/USDA.ADC/1520662 ] In February 2020, USDA launched the Agriculture Innovation Agenda (AIA), representing a Department-wide effort to align USDA's resources, programs, and research to provide farmers with the tools they need to position American agriculture as a global leader meeting future food, fiber, fuel, and feed demands. As part of the AIA, USDA set ambitious goals to increase agricultural production by 40 percent, while cutting the environmental footprint of U.S. agriculture in half by 2050. The Agriculture Innovation Agenda (AIA) is USDA's commitment to the continued success of American farmers, ranchers, producers, and foresters in the face of future challenges. The AIA is comprised of four main parts. The first is focused on developing a U.S. Agriculture Innovation Strategy that aligns public- and private-sector research. The second integrates innovative technologies and practices into USDA programs to help fast track producer adoption. The metrics component aims to review USDA productivity and conservation data. Finally, the USDA scorecard has benchmarks to improve accountability. As part of the research component, in 2020, USDA collected unstructured text feedback through a Request for Information (RFI) on the most important innovation opportunities for the next era of agriculture to be addressed in the near and long term. RFI responses were qualitatively analyzed to identify emergent themes and common aspirational goal statements that stakeholders shared across multiple RFI responses. USDA collected 223 responses through the RFI. Responses were grouped into several focus areas including commodity crops, specialty crops, livestock, aquaculture, forestry, and farming, general. This dataset supports a dashboard that represents the synthesized data collected through the RFI and stakeholder engagements. Resources in this dataset:Resource Title: Discovery Goals spreadsheet with text tables for use with AIS dashboard, Version 2. File Name: Discovery goal tables_FinalApproved_12.28.20_v2.xlsxResource Description: Text summaries are organized into tabs that support filters by theme (e.g. crop production, forestry, beef and range, dairy, and data) and within theme into Innovation clusters (genome design, digital/automation, prescriptive intervention, systems based farm management) and innovation horizon (Incremental solutions to accelerate, transformative solutions to create, Next era concepts, and gaps & barriers (including policies or supporting technologies needed)). For each combination of innovation cluster and innovation horizon for a theme there is a text summary of the stakeholder feedback, drawn from raw responses. Only minor punctuation and grammatical changes from Version 1.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/en-us/microsoft-365/excel

United States US: GDP: Growth: Gross Value Added: Agriculture data was reported at 11.281 % in 2016. This records an increase from the previous number of 8.104 % for 2015. United States US: GDP: Growth: Gross Value Added: Agriculture data is updated yearly, averaging 4.146 % from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 19.391 % in 2013 and a record low of -14.900 % in 2007. United States US: GDP: Growth: Gross Value Added: Agriculture data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

Statistics on agriculture in Massachusetts

This is a link to the different data products offered by the Economic Research Service from USDA.

Introduction

AI in Agriculture Statistics: Artificial Intelligence (AI) is quickly transforming agriculture. It empowers farmers and agribusinesses to optimize practices, increase productivity, and prioritize sustainability. AI-driven precision farming efficiently manages resources like water, fertilizers, and pesticides, leading to higher yields with less environmental impact.

These AI systems also monitor crop and livestock health for early issue detection. Furthermore, AI enhances supply chain efficiency, ensuring smooth product delivery. Despite challenges like data privacy and adoption hurdles, AI integration has the potential to revolutionize agriculture, making it more efficient, sustainable, and responsive to global food needs.

This product provides tabular data from the U.S. Department of Agriculture (USDA) Census of Agriculture for selected items for the period 1950-2017 for counties in the conterminous United States. Data from 1950-2012 are taken from LaMotte (2015) and 2017 data are retrieved from the USDA QuickStats online tool. Data which are withheld in the Census of Agriculture are filled with estimates. The data include crop production values for 12 commodities (for example, corn in bushels), land use values for 7 land use types (for example, acres of total cropland), and 9 values for livestock types (for example, number of hogs and pigs). The data are largely intended as a 2017 update to the LaMotte dataset for items of research interest. LaMotte, A.E., 2015, Selected items from the Census of Agriculture at the county level for the conterminous United States, 1950-2012: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7H13016.

In the United States there were about 5.03 million head of sheep and lambs as of 2024. This figure has been dropping steadily over the last several years. To put this in perspective; in 2001, there were nearly seven million sheep and lambs in the United States. Sheep and lambs in the United States Sheep are wonderful livestock in that they serve multiple purposes; they produce wool and milk, they are an easy and natural way to clear away shrubbery and keep grass short as a fire safety measure, and they can be slaughtered for their meat. The value of sheep varies considerably from year to year, but in 2019 an average head of sheep in the United States was valued at 203 U.S. dollars, down from 214 U.S. dollars in 2015. U.S. wool production Wool has many benefits over other varieties of textile material. In addition to being all-natural and biodegradable, it has thermal insulation properties and gives off very little static electricity. In 2019, the United States produced some 45.36 million U.S. dollars worth of shorn wool. The number of sheep and lambs shorn in the United States has seen a sharp decline in the last two decades.