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U.S. Department of Agriculture

U.S. Department of Agriculture (USDA) provide leadership on food, agriculture, natural resources, rural development, nutrition, and related issues based on public policy, the best available science, and effective management. USDA have a vision to provide economic opportunity through innovation, helping rural America to thrive; to promote agriculture production that better nourishes Americans while also helping feed others throughout the world; and to preserve our Nation's natural resources through conservation, restored forests, improved watersheds, and healthy private working lands.

Все наборы данных:  C E F I M N S U W
  • C
    • Июнь 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 25 июня, 2019
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      Cost-of-production forecasts for U.S. major field crops, 2019F-2020F The forecasts are developed as a 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 only forecast at the national level and would differ considerably among regions, individual farmers, and by size of operation. F = Forecasts as of October 2019. Projected costs are based on 2018 production costs and projected changes in 2019 and 2020 indexes of prices paid for farm inputs.
  • E
    • Май 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2019
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      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.
  • F
    • Март 2018
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 21 марта, 2019
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      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.
  • I
    • Октябрь 2018
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2018
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      Improving agricultural productivity has been the world's primary means of assuring 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 livestock commodities. "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 U.S. data product.
    • Июль 2017
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 06 марта, 2018
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      This dataset is the basis for the International Food Security Assessment, 2017-27 released in July 2017. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources.
    • Декабрь 2018
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 26 декабря, 2018
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      The International Macroeconomic Data Set provides historical and projected data for 189 countries that account for more than 99 percent of the world economy. These macroeconomic data and projections are assembled explicitly to serve as underlying assumptions for the annually updated USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.  The projections assume there are no changes in policy and abstract from business cycle effects.  Historical data are available for real (inflation-adjusted) gross domestic product (GDP), inflation, population, and real exchange rates from 1969 to the most recent available year, and each variable is projected forward to 2030.
    • Июль 2013
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 06 ноября, 2015
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      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.
  • M
    • Май 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2019
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      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.
    • Май 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 04 июня, 2019
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      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
  • N
    • Декабрь 2018
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2018
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      Source: 2010: Federal Register, Vol. 75, March 25, 2010, No. 58, 2011, 2012, Regulation of Fuels and Fuel Additives: 2012 Renewable Fuel Standards, EPA, Final Rule (Pre-Federal Register version) 40 CFR Part 80, December 22, 2011, 2013: Federal Register, Vol. 78, August 15, 2013, No. 158, part II, 2014, 2014 Proposed Standards For The Renewable Fuel Standard Program, Environmental Protection Agency. 2014-15-16: https://www.epa.gov/renewable-fuel-standard-program/final-renewable-fuel-standards-2014-2015-and-2016-and-biomass-0. 2017: https://www.epa.gov/renewable-fuel-standard-program/regulations-and-volume-standards-under-renewable-fuel-standard. 2018: Federal Register/ Vol. 82, No. 139 https://www.gpo.gov/fdsys/pkg/FR-2017-07-21/pdf/2017-14632.pdf. 2019: Federal Register/ Vol. 83, No. 32024 https://www.federalregister.gov/documents/2018/07/10/2018-14448/renewable-fuel-standard-program-standards-for-2019-and-biomass-based-diesel-volume-for-2020.
  • S
    • Март 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 26 марта, 2019
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      World: Soybean Area, Yield and Production
    • Август 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 10 августа, 2019
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      US Bio Energy Statistics - Supply and Disappearance, FeedStock and Co-products
  • U
    • Июль 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 25 июля, 2019
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      The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.
    • Июнь 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 07 июня, 2019
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      Fuel ethanol production facilities capacity and utilization rates are as of January of the year except 2018. For  2019 data is January 2019.
    • Август 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 14 августа, 2019
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       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.
    • Апрель 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 13 апреля, 2019
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      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
    • Октябрь 2018
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 18 января, 2019
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      Errata: On October 2, 2018, incorrect milk cost and return data for the Southern Seaboard region were posted for 2017 in the ERS topic page Commodity Costs and Returns. On October 12, 2018, incorrect milk feed cost data for the Southern Seaboard region were posted for 2011-15 in the ERS topic page Commodity Costs and Returns. The U.S. average and other regional estimates were unaffected by these errors. The data have been revised and new files have been posted. 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 history of commodity cost and return estimates for the U.S. and regions is divided into three categories: Current, Recent, and Historical estimates. Cost-of Production Forecasts are also available for major U.S. field crops. Also see Organic Costs and Returns for corn, milk, wheat, and soy. Note: The most recent milk costs and returns are the first estimates developed from the 2016 Agricultural Resource Management Survey (ARMS) dairy data. The estimates replace those previously reported for 2016 and 2017 that were set by indexing the 2010 ARMS dairy data for annual price changes. In addition, revisions have been made to the purchased and homegrown feed cost estimates for 2011 through 2015. After reviewing the 2016 survey data, it appears likely that the method used to index the 2010 dairy feed costs did not provide the best reflection of how these costs moved during years between the 2010 and 2016 surveys. To address this issue, purchased feed cost estimates for 2011-15 were re-estimated by applying changes in the prices paid index for feed grains (published by the National Agricultural Statistics Service) to the 2010 survey data. Homegrown feed costs were re-estimated using changes in the prices paid index for hay and forages. Moving forward, these indexes will be used to set the milk feed costs using the 2016 ARMS data.
    • Декабрь 2017
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 27 марта, 2018
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        * 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.
    • Декабрь 2018
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 02 января, 2019
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      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.
    • Апрель 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 08 мая, 2019
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      International baseline projections indicate supply, demand, and trade for major agricultural commodities for selected countries. These projections provide foreign country detail supporting the annual USDA agricultural baseline, which are long run, 10-year projections. Baseline in this dataset is year 2019. For commodities: Barley, Corn, Cotton, Rice, Sorghum, Soybeans, Soybean meal, Soybean Oil and Wheat, Data is based on local marketing years. Date 2028/27 is represented as 2028 World is sum of all countries and regions modeled. World imports for the first two years may differ somewhat from those in last November's USDA World Agricultural Supply and Demand Estimates (WASDE) report in order to balance imports and exports. World imports do not equal exports in WASDE due to differences in marketing years, time lags between reported exports and imports, and reporting discrepancies in some countries. For commodities: Beef, Pork, Poultry, Data is based on calendar year.World is sum of all countries and regions modeled. World totals for the first three Years differ from those in last October's USDA Livestock and Poultry: World Markets and Trade report because some countries are included here that are not covered in USDA’s official database.
  • W
    • Июль 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 19 августа, 2019
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      World Agricultural Supply and Demand Estimates Report (WASDE): World Supply and Use   Note 1: The dataset considered the market year as follows   2017/18 actual year referred as 2018, 2018/19 Estimated year referred as 2019 and 2019 for Current Month 2019/20 Projection year referred as 2019 for Monthly and 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.
    • Март 2019
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 05 апреля, 2019
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      Note: 2018 data is projected data World : Rice Area, Yield and Production