Note: Updates to this data product are discontinued. This data set provides farmgate and wholesale prices for select organic and conventional fruits and vegetables, wholesale prices for organic and conventional poultry (broilers) and eggs, as well as f.o.b. and spot prices for organic grain and feedstuffs. Prices are based on those reported by USDA Agricultural Marketing Service Market News, Organic Food Business News, and USDA National Agricultural Statistics Service.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.

This data product provides three Excel file spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat).

Using Futures Prices to Forecast the Season-Average Price and Counter-Cyclical Payment Rate for Corn, Soybeans, and Wheat

Farmers and policymakers are interested in the level of counter-cyclical payments (CCPs) provided by the 2008 Farm Act to producers of selected commodities. CCPs are based on the season-average price received by farmers. (For more information on CCPs, see the ERS 2008 Farm Bill Side-By-Side, Title I: Commodity Programs.)

This data product provides three Excel spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat). Users can view the model forecasts or create their own forecast by inserting different values for futures prices, basis values, or marketing weights. Example computations and data are provided on the Documentation page.

Spreadsheet Models

For each of the three major U.S. field crops, the Excel spreadsheet model computes a forecast for:

1. the national-level season-average price received by farmers and
2. the implied counter-cyclical payment rate.

Note: the model forecasts are not official USDA forecasts. See USDA's World Agricultural Supply and Demand Estimates for official USDA season-average price forecasts. See USDA's Farm Service Agency information for official USDA CCP rates.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: Webpage with links to Excel files For complete information, please visit https://data.gov.

Note: Updates to this data product are discontinued. The China agricultural and economic database is a collection of agricultural-related data from official statistical publications of the People's Republic of China. Analysts and policy professionals around the world need information about the rapidly changing Chinese economy, but statistics are often published only in China and sometimes only in Chinese-language publications. This product assembles a wide variety of data items covering agricultural production, inputs, prices, food consumption, output of industrial products relevant to the agricultural sector, and macroeconomic data.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.

description: USDA Economic Research Service (ERS) compares prices paid by consumers for food with prices received by farmers for corresponding commodities. This data set reports these comparisons for a variety of foods sold through retail food stores such as supermarkets and super centers. Comparisons are made for individual foods and groupings of individual foods-market baskets-that represent what a typical U.S. household buys at retail in a year. The retail costs of these baskets are compared with the money received by farmers for a corresponding basket of agricultural commodities.; abstract: USDA Economic Research Service (ERS) compares prices paid by consumers for food with prices received by farmers for corresponding commodities. This data set reports these comparisons for a variety of foods sold through retail food stores such as supermarkets and super centers. Comparisons are made for individual foods and groupings of individual foods-market baskets-that represent what a typical U.S. household buys at retail in a year. The retail costs of these baskets are compared with the money received by farmers for a corresponding basket of agricultural commodities.

How much do fruits and vegetables cost? ERS estimated average prices for 153 commonly consumed fresh and processed fruits and vegetables.

Data files in the "U.S. Broiler Industry" dataset mirror the statistical tables in the U.S. BROILER INDUSTRY (AER-591), prepared by the Commodity Economics Division, Economic Research Service, USDA.

Collection Organization: Commodity Economics Division, Economic Research Service.

Collection Methodology: N/A

Collection Frequency: Annually.

Update Characteristics: Not updated since publication.

STATISTICAL INFORMATION:

The data reside in LOTUS 1-2-3 (.WK1) spreadsheet tables. LANGUAGE:

English ACCESS/AVAILABILITY:

Data Center: Economic Research Service Dissemination Media: Diskette, Internet gopher, Internet home page File Format: ASCII, Lotus/dBase Access Instructions: Call NASS at 1-800-999-6779 for historical series data available on diskette. For historical series data available online, connect to the Internet home page at Cornell University.

    URL: 'http://usda.mannlib.cornell.edu/usda'

Access to the data or reports may be achieved through the ERS-NASS information system:

    WWW:

'http://usda.mannlib.cornell.edu/usda' Gopher client: 'gopher://gopher.mannlib.cornell.edu:70/'

For subscription direct to an e-mail address, send an e-mail message to:

     usda-reports@usda.mannlib.cornell.edu

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

This product summarizes fertilizer consumption in the United States by plant nutrient and major fertilizer products—as well as consumption of mixed fertilizers, secondary nutrients, and micronutrients—for 1960 through the latest year for which statistics are available. The share of planted crop acreage receiving fertilizer, and fertilizer applications per receiving acre (by nutrient), are presented for major producing States for corn, cotton, soybeans, and wheat (data on nutrient consumption by crop start in 1964). Fertilizer farm prices and indices of wholesale fertilizer prices are also 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: Data file For complete information, please visit https://data.gov.

ERS annually calculates "normalized prices," which smooth out the effects of shortrun seasonal or cyclical variation, for key agricultural inputs and outputs. They are used to evaluate the benefits of projects affecting agriculture.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.

This data product contains data on U.S. cotton and wool supply, demand, and prices, as well as U.S. cotton and textile trade data, maintained by the Economic Research Service to support related commodity market analysis and research.

A collection of over 75 charts and maps presenting key statistics on the farm sector, food spending and prices, food security, rural communities, the interaction of agriculture and natural resources, and more.

How much do you know about food and agriculture? What about rural America or conservation? ERS has assembled more than 75 charts and maps covering key information about the farm and food sectors, including agricultural markets and trade, farm income, food prices and consumption, food security, rural economies, and the interaction of agriculture and natural resources.

How much, for example, do agriculture and related industries contribute to U.S. gross domestic product? Which commodities are the leading agricultural exports? How much of the food dollar goes to farmers? How do job earnings in rural areas compare with metro areas? How much of the Nation’s water is used by agriculture? These are among the statistics covered in this collection of charts and maps—with accompanying text—divided into the nine section titles.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: Ag and Food Sectors and the Economy Land and Natural Resources Farming and Farm Income Rural Economy Agricultural Production and Prices Agricultural Trade Food Availability and Consumption Food Prices and Spending Food Security and Nutrition Assistance For complete information, please visit https://data.gov.

This dataset is a combination of data from the USDA National Statistics Service and Economic Research Service. It has been processed to provide a basis for modelling the price of soybean over the period 1990-2017.

"Livestock, Dairy, and Poultry Situation and Outlook" is a full-text report that contains livestock, dairy, and poultry data focusing on current production, prices, and trade statistics for each of the sectors. Data are updated monthly.

LANGUAGE: English

ACCESS/AVAILABILITY: Data Center: Economic Research Service Dissemination Media: Diskette, Internet gopher, Internet home page File Format: ASCII, Lotus/dBase Access Instructions: Call NASS at 1-800-999-6779 for historical series data available on diskette. For historical series data available online, connect to the Internet home page at Cornell University.

URL: 'http://usda.mannlib.cornell.edu/usda'

Access to the data or reports may be achieved through the ERS-NASS information system:

WWW: 'http://usda.mannlib.cornell.edu/usda'

Gopher client: 'gopher://gopher.mannlib.cornell.edu:70/'

For subscription direct to an e-mail address, send an e-mail message to: usda-reports@usda.mannlib.cornell.edu

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

The Feed Grains Database contains statistics on four feed grains (corn, grain sorghum, barley, and oats), foreign coarse grains (feed grains plus rye, millet, and mixed grains), hay, and related items.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 Zip file of CSV format data Feed Grains Data-Recent Feed Grains Data- All Years For complete information, please visit https://data.gov.

Data dictionary and brochure for REAP (Resilient Economic Agricultural Practices). https://data.nal.usda.gov/node/5594

Data Entry Template 2017 includes

Excel templates for Experiment description worksheets, Site characterization worksheets, Management worksheets, Measurement worksheets where experimental unit data are reported, and Information that may be useful to the user, including drop down lists of treatment specific information and ranges of expected values. General and introductory instructions, as well as a Data Validation check are also included.A data dictionary typically provides a detailed description for each element or variable in a dataset or data model. Data dictionaries are used to document important and useful information such as a descriptive name, the data type, allowed values, units, and text description.Dataset citation: (dataset) USDA Agricultural Research Service. (2017). REAP (Resilient Economic Agricultural Practices). Agricultural Research Service. https://doi.org/10.15482/USDA.ADC/1372394.

The Quarterly Food-Away-From-Home Prices (QFAFHP) data set provides quarterly prices (not including taxes) for food away from home (FAFH) and alcohol, both at home and away from home. Food away from home is an integral component of the typical American diet and food budget; it also plays a key role in the nutrition and health of Americans. Data on variation in food prices over time and across regions allow researchers to estimate how price changes affect the demand for different products—such as through changes in quantities purchased or expenditures—and, to examine how changes in demand, in turn, affect nutritional and health outcomes.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: Quarterly Food-Away-From-Home Prices For complete information, please visit https://data.gov.

Agriculture and human values CiteScore 2024-2025 - ResearchHelpDesk - Agriculture and Human Values is the journal of the Agriculture, Food, and Human Values Society. The Journal, like the Society, is dedicated to an open and free discussion of the values that shape and the structures that underlie current and alternative visions of food and agricultural systems. To this end, the Journal publishes interdisciplinary research that critically examines the values, relationships, conflicts and contradictions within contemporary agricultural and food systems and that addresses the impact of agricultural and food related institutions, policies, and practices on human populations, the environment, democratic governance, and social equity. Offers open discussion of the values that shape and the structures that support food and agricultural systems in industrial and developing countries Welcomes interdisciplinary research from sociology, anthropology, development, economics, geography, philosophy, environmental studies, health and nutrition science, crop and soil science, and other social and physical sciences that critically examines contemporary and alternative food and agricultural systems Publishes original theoretical and empirical research; Discussion pieces to stimulate thinking in new directions and/or address debates in the field; Field reports that relay insightful observations from research sites and/or time-sensitive accounts pertinent to research; Reviews of the literature that integrate and synthesize knowledge in and/or across substantive fields of inquiry; Reviews of new or recently published monographs; and, occasionally, Symposia on issues relevant to broad readerships. Abstracted and indexeing AGRICOLA CAB Abstracts CNKI Current Contents / Social & Behavioral Sciences Current Contents/ Agriculture, Biology & Environmental Sciences EBSCO Agriculture Plus EBSCO Associates Programs Source EBSCO Discovery Service EBSCO Environment EBSCO Food Science Source EBSCO Military Transition Support Center EBSCO Vocational Studies EMBiology ERIH PLUS Gale Gale Academic OneFile Gale InfoTrac Google Scholar IFIS Publishing INIS Atomindex Institute of Scientific and Technical Information of China Japanese Science and Technology Agency (JST) Journal Citation Reports/Science Edition Journal Citation Reports/Social Sciences Edition Naver OCLC WorldCat Discovery Service PhilPapers ProQuest ABI/INFORM ProQuest Agricultural & Environmental Science Database ProQuest Art, Design and Architecture Collection ProQuest Arts & Humanities Database ProQuest Arts Premium Collection ProQuest Business Premium Collection ProQuest Career & Technical Education Database ProQuest Central ProQuest Engineering ProQuest Environment Abstracts (Module) ProQuest Environmental Science ProQuest Materials Science and Engineering Database ProQuest Natural Science Collection ProQuest Philosophy Database ProQuest Research Library ProQuest SciTech Premium Collection ProQuest Social Science Collection ProQuest Sociology ProQuest Technology Collection ProQuest-ExLibris Primo ProQuest-ExLibris Summon Research Papers in Economics (RePEc) SCImago SCOPUS Science Citation Index Expanded (SciSearch) Social Science Citation Index

The industries operating in the agricultural sector engage in crop production and livestock farming. Its main products include cereals, oilseeds, potatoes, vegetables, raw milk, slaughter animals and eggs. In the current year, sales in the sector are expected to decline by 4.3% to reach €53.1 billion. Between 2018 and 2023, it was subject to significant fluctuations, declining by an average of 2.1% per year. This was due to fluctuating crop yields and producer prices for the above-mentioned agricultural commodities, depending on the marketing year. For example, cereal and potato crops recorded low harvests in 2018 and 2020 due to the hot spell at the time. In 2019, on the other hand, pig farming benefited from growing demand for pork in the Asian region. Dairy cow farming achieved high sales last year due to rising producer prices.At present, the war in Ukraine and the mutual sanctions between the European Union and Russia are shaping the economic situation of German agriculture. This is because Ukraine is one of the largest exporters of grain and Russia is one of the largest exporters of fertilizer. The war is raising wheat and milk prices as well as the cost of fertilizer, natural gas and fuel. Rising production costs are an enormous burden for all industries, partly because they cannot pass them on directly to the customer markets.In the future, climatic conditions with increasing temperatures and water scarcity, as well as the currently rising input prices, will have a strong impact on the agricultural sector. Nevertheless, sector sales are expected to grow by an average of 0.5% over the next five years to reach €54.3 billion in 2028. This is due to rising producer prices for agricultural products, growing global demand for German agricultural commodities, increasing health and environmental awareness, and increased demand for regional and organic products. In the course of the realignment of the European Union's Common Agricultural Policy, organic farming in particular is likely to increase its sales, as agricultural subsidies will increasingly be linked to compliance with sustainability criteria.

Abstract

The primary objective of the High-Value Agriculture Project in Hill and Mountain Areas (HVAP) was to reduce rural poverty and improve food security through enhanced value chains for high-value agricultural commodities in the hill and mountainous areas of Nepal. The project employed a unique approach bringing different actors of the value chain together; smallholder producers were linked with input suppliers, traders, technical service providers, and financial institutions. The project also provided business literacy training and helped strengthen production and marketing by forming farmer's cooperatives or groups, collectively called producer organizations (POs), technical support for household dairy production and developing milk-marketing chains.

The project covers seven hill and mountainous districts in Karnali province and identifies seven agricultural commodities as high value commodities in this area: apple, ginger, vegetable seeds, off-season vegetables, turmeric, timur (Sichuan pepper), and goat. The project supported smallholder farmers by strengthening their access to input markets, output markets, and service markets as well as their skills and capacity to produce market-oriented high value agricultural commodities.

For more information, please click on the following link: https://www.ifad.org/en/web/knowledge/-/publication/impact-assessment-high-value-agriculture-project-in-hill-and-mountain-areas.

Geographic coverage

Seven districts from Mid-Western Development Region (Karnali province in the newly adopted system) of Nepal.

Analysis unit

Households

Universe

Smallholder dairy farmers

Kind of data

Sample survey data [ssd]

Sampling procedure

HVAP interventions cover seven districts from Mid-Western Development Region (Karnali province in the newly adopted system). The project works with producer organizations (POs) and a total of pre-existing 456 POs (which consist of groups and cooperatives) in 144 village development committee (VDCs) are covered. HVAP covers a total of 144 VDCs, 456 POs, and 15,965 households. The total sample selected for the impact assessment consists of 3,028 households (1,504 treatment and 1,524 control households) in 235 POs or clusters (117 treatment POs and 118 control POs). The distribution of the sample size is proportional to the number of project beneficiaries in each district.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The household survey questionnaire consists of questions related to socio-economic status, agricultural and livestock production, other sources of income, dietary status, and household decision making. The PO survey questionnaire focuses mainly on indicators related to access to services and infrastructures, communal 20 groups, agricultural and livestock production, commodity prices, and economic activities.

Note: some variables may have missing labels. Please, refer to the questionnaire for more details.

The aim of this work was to elucidate the socio-cultural and economic value of a number of ecosystem services delivered by mountain agroecosystems (mostly grazing systems) in Euro-Mediterranean regions. We combined deliberative (focus groups) and survey-based stated-preference methods (choice modelling) to, first, identify the perceptions of farmers and other citizens on the most important ecosystem services and, second, to value these in economic terms according to the willingness to pay of the local (residents of the study area) and general (region where the study area is located) populations. Cultural services (particularly the aesthetic and recreational values of the landscape), supporting services (biodiversity maintenance) and some regulating services (particularly fire risk prevention) were clearly recognized by both farmers and citizens, with different degrees of importance according to their particular interests and objectives. The prevention of forest fires (≈50% of total willingness to pay) was valued by the general population as a key ecosystem service delivered by these agroecosystems, followed by the production of specific quality products linked to the territory (≈20%), biodiversity (≈20%) and cultural landscapes (≈10%). The value given by local residents to the last two ecosystem services differed considerably (≈10 and 25% for biodiversity and cultural landscape, respectively). The Total Economic Value of mountain agroecosystems was ≈120 € person−1 year−1, three times the current level of support of agro-environmental policies. By targeting and quantifying the environmental objectives of the European agri-environmental policy and compensating farmers for the public goods they deliver, the so-called “green” subsidies may become true Payments for Ecosystems Services.

This data product contains statistics on wheat-including the five classes of wheat: hard red winter, hard red spring, soft red winter, white, and durum-and rye. Includes data published in the monthly Wheat Outlook and previously annual Wheat Yearbook. Data are monthly, quarterly, and/or annual depending upon the data series. Most data are on a marketing year basis, but some are calendar year.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.