U.S. Department of Agriculture

Cost-of-production forecasts for U.S. major field crops, 2022F-2023F. The forecasts are developed as part of the USDA Baseline projections to help develop projected net returns for major field crops. These long-term baseline projections provide a starting point for discussion of alternative outcomes for the agricultural sector under expected or proposed future policies. Cost-of-production is the only forecast at the national level and would differ considerably among regions, individual farmers, and by size of operation. Projected costs are based on 2021 production costs and projected changes in 2022 and 2023 indexes of prices paid for farm inputs.

Note: Data is no longer being updated on source: https://www.ers.usda.gov/topics/international-markets-us-trade/international-consumer-and-food-industry-trends/#data The Dataset contain data on expenditures on food (including nonalcoholic beverages), alcoholic beverages, and tobacco as a share of consumer expenditures on all goods and services for 86 countries. The tables also contain data on per capita consumer expenditures on goods and services, as well as per capita food expenditures for these countries. Data is available for the 104 countries for which this type of information is currently available in the source database, Euromonitor International. All expenditure data are in current U.S. dollars.

A food dollar represents a $1 expenditure on domestically produced food by U.S. consumers. The food dollar is allocated to expenditures on each of the various food commodities sold in proportions that represent their share of annual sales in the U.S. market.

Note that values are given for marketing years, e.g. 2016 corresponds to 2015/2016 marketing year, 2015 refers to 2014/2015 marketing year, etc.   Market year starts in December and ends in November of the following year.

Improving agricultural productivity has been the world's primary means of ensuring that the needs of a growing population don't outstrip the ability of humanity to supply food. Over the past 50 years, productivity growth in agriculture has allowed food to become more abundant and cheaper (see Growth in Global Agricultural Productivity: An Update, Amber Waves, November 2013, and New Evidence Points to Robust But Uneven Productivity Growth in Global Agriculture, Amber Waves, September 2012). A broad concept of agricultural productivity is total factor productivity (TFP). TFP takes into account all of the land, labor, capital, and material resources employed in farm production and compares them with the total amount of crop and livestock output. If total output is growing faster than total inputs, we call this an improvement in total factor productivity ("factor" = input). TFP differs from measures like crop yield per acre or agricultural value-added per worker because it takes into account a broader set of inputs used in production. TFP encompasses the average productivity of all of these inputs employed in the production of all crop and commodities livestock. "Growth accounting" provides a practicable way of measuring changes in agricultural TFP across a broad set of countries and regions, and for the world as a whole, given limited international data on production outputs, inputs, and their economic values. The approach (described in detail in Documentation and Methods) gives agricultural TFP growth rates, but not TFP levels, across the countries and regions of the world in a consistent, comparable way. Most of the data for the analysis comes from FAOSTAT. In some cases Food and Agriculture Organization (FAO) input and output data are supplemented with data from national statistical sources. Note: To facilitate international comparisons, certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the US data product. certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the US data product. certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the US data product.

Agriculture is a major user of ground and surface water in the United States, accounting for 80 percent of the Nation's consumptive water use and over 90 percent in many Western States. This ERS research program investigates water allocation, water conservation, and water management issues facing irrigated agriculture. The focus is on irrigated agriculture, but other sectors are examined for their competitive influence on water supplies and impacts of water reallocations among agricultural, environmental, and urban users. It includes consideration of the role of water markets, producer decisions, institutional adjustments (including Federal water infrastructure), and water-related policies with respect to resource costs, water quality, profitability, and environmental effects, as well as analysis of the adoption of water conserving technologies.

Notes: Coefficients of variation (CVs) were checked for the category totals: gross value of production, and feed, operating, allocated overhead, and total costs. All CVs were less than 25 percent.

The data set covers Monthly and Annual milk COP estimates by State. Estimates since 2016 are based on the 2016 Agricultural Resource Management Survey (ARMS) data from milk producers. Estimates for 2010 through 2015 are based on the 2010 and estimates for 2005 through 2009 are based on the 2005 ARMS data from milk producers

World: Soybean Area, Yield and Production

US Bio Energy Statistics - Supply and Disappearance, FeedStock and Co-products

Fuel ethanol production facilities capacity and utilization rates are as of January of the year except 2018. For 2019 data is January 2019.

 Annual Price = Avg. Price for the Marketing Year (Sep-Aug); Quarterly data represent values according to Marketing Year (Sep-Aug): Q1 Sep-Nov, Q2 Dec-Feb, Q3 Mar-May, Q4 Jun-Aug.

US Census of Agriculture: Economics

Cost and return estimates are reported for the United States and major production regions for corn, soybeans, wheat, cotton, grain sorghum, rice, peanuts, oats, barley, milk, hogs, and cow-calf. The series of commodity cost and return estimates for the U.S. and regions is divided into two categories: Recent and Historical estimates. Recent estimates date back to the point of the most recent major revision in accounting methods, account format, and regional definitions for each commodity. Historical estimates date back to when the series began.  Cost-of-Production Forecasts are also available for major U.S. field crops. Organic Costs and Returns for corn, milk, wheat, and soybeans are also available.

This dataset covers the following public data available at US Dept. of Agriculture website. 1. Wheat: Supply and disappearance 2. Hard red winter wheat: Supply and disappearance 3. Hard red spring wheat: Supply and disappearance 4. Soft red winter wheat: Supply and disappearance 5. White wheat: Supply and disappearance 6. U.S. wheat exports by selected destinations (1,000 metric tons) Reference Market year (start from Jun-May) Q 1 in Market year: Jun-August Q 2 in Market year: Sep-Nov Q 3 in Market year: Dec-Feb Q 4 in Market year: March-May

  * Reference Date for the year data are as below 2015 - (17/2/2015) 2016 - (25/3/2016) 2017 - (15/12/2017) * Values for some Indicators are not provided in source due to confidentiality.

World Agricultural Supply and Demand Estimates Report (WASDE): World Supply and Use   Note 1: The dataset considered the market year as follows   2018/19 actual year referred as 2019, 2019/20 Estimated year  referred as 2020 and 2020 for Current Month 2020/2021 Projection year referred as 2020 for Monthly and 2021 for Annual   Note 2: For Regions: -Central Asia, Afr. Fr. Zone, Australia, Thailand, Vietnam For Crop: -Cotton For Indicator: -Production and Imports Values ​​are Less than 5,000 bales.

Note: FY20-21 data is preliminary and FY21-22 is Projection. Yield is on a rough basis, before the milling process. Production is on a milled basis, after the milling process