Beef traded flat at 294.35 BRL/15KG on August 1, 2025. Over the past month, Beef's price has fallen 5.25%, but it is still 26.90% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Beef - values, historical data, forecasts and news - updated on August of 2025.

China Retail Price: 36 City Avg: Fresh Beef: Tendon Shank data was reported at 41.110 RMB/500 g in Mar 2025. This records a decrease from the previous number of 41.480 RMB/500 g for Feb 2025. China Retail Price: 36 City Avg: Fresh Beef: Tendon Shank data is updated monthly, averaging 35.410 RMB/500 g from Apr 2003 (Median) to Mar 2025, with 264 observations. The data reached an all-time high of 49.270 RMB/500 g in Dec 2023 and a record low of 8.170 RMB/500 g in Apr 2003. China Retail Price: 36 City Avg: Fresh Beef: Tendon Shank data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PA: Price Monitoring Center, NDRC: 36 City Monthly Avg: Retail Price: Food.

The University of Nevada Agricultural Experiment Station’s Gund Ranch near Austin, Nevada is approximately 100,000 acres with grazing by 325 cow-calf pairs. Cows are mostly Angus (80%) and Hereford (20%). Bulls are Angus X Hereford. Calves are mostly Angus with some black baldies. Cattle graze a Bureau of Land Management (BLM) grazing permit from April through July. Calving starts about mid-April. Branding is planned for 90-100 days after birth with bull calves castrated as this time. Privately-owned meadows are grazed July-September with weaning starting on September 15. Cows are grazed on BLM low elevation shrublands and weaned calves are kept in meadows with supplemental hay feeding on the Gund Ranch from October 1st through January 1st. The calves not kept for replacements are gathered and weighed for a total herd weight and shipped approximately the 1st of November. The larger end of the steers and heifers typically range from 475-490 pounds. Around 100 head are loaded onto a semi to achieve a full truckload of 48,000-50,0000 pounds. The smaller end of the steers and heifers are shipped on a second semi load. Weights are decreased with a 2% shrink calculation. In Nevada, there are only two sale barns, so many ranches receive more money by selling semi loads shipped to grazinglands of buyers’ choice. Calves are primarily sold on the internet go through Roundup Cattle Company. In years with drought conditions, calves may not reach the 48,000-50,000 weight limit for a second truck. Thus, the smaller calves can be marketed through a local sale barn at a one of their special calf sales. Supported/funded by the University of Nevada, Reno, the Nevada Agricultural Experiment Station, and USDA. Resources in this dataset:Resource Title: Data From the University of Nevada Agricultural Experiment Station’s Gund Ranch . File Name: Gund_Ranch_Data.csvResource Description: Data contains Pregnancy rates, calf weaning weights, and sale prices from 2008 - 2020Resource Title: Data dictionary for data from the University of Nevada Agricultural Experiment Station’s Gund Ranch . File Name: Gund_Ranch_DataDictionary.csv

Beef quality is the first deciding factor for consumers to consider before purchasing. The aim of this study was to evaluate the effects of suspension and aging time on beef quality. We compared the differences in pH, drip loss, cooking loss, color, shear force, myofibril fragmentation index (MFI), and electron microscope of three muscle tissues between Achilles tendon (AT) and neck-arm restraint (NR) suspensions during seven aging periods (days 0, 1, 2, 3, 7, 14, and 21) after slaughter using the carcasses of six Xinjiang brown cattle. We found that NR suspension could significantly increase the water loss rate and MFI, as well as reduce the shear force compared to AT suspension. The muscle fiber structure with NR suspension was more severely damaged. The proteomics of longissimus dorsi was checked for the post-mortem days 1, 7, and 14. We detected 50, 26, and 29 differentially expressed proteins between NR and AT suspension at post-mortem days 1, 7, and 14, respectively. These proteins were involved in metabolic and muscle structure associated pathways and contributed to a comprehensive understanding of suspension-dependent meat quality regulation by proteins in beef cattle. To conclude, NR suspension can accelerate the aging time of beef carcasses, which will reduce the cost of carcass suspension and bring more benefits in the beef industry.

This database contains food demand elasticities estimates collected from a literature review carried out in 2015 as part of a contract funded by the International Food Policy Research Institute (IFPRI) (contract n° 2015X144.FEM). It served as a basis for the meta-analysis of price and income elasticities of food demand presented in Femenia (2019). Data collection: Two reports providing food demand elasticities published by the United States Department of Agriculture (USDA) (Seale et al. (2003) and Muhammad et al. (2011)) are frequently used to calibrate demand functions in global economic models. In these reports, price and income elasticities are estimated for eight broad food categories and for a large number of countries. This broad level of country coverage renders these elasticity data well-suited for calibrating large simulation models. Economists might however wish to use other source of elasticities for different reasons when, for instance, they consider food products at a higher disaggregation level or when they wish to compare results obtained with a calibration of demand parameters based on USDA estimates to those obtained with a calibration based on other estimates given in the literature. The USDA provides a literature review database (USDA, 2005), which contains this type of information. This database collects own price, cross price, expenditure and income demand elasticity estimates from papers that have been published and/or presented in the United States (US) between 1979 and 2005. While the database covers a large variety of products at various aggregation levels, few countries are included. These two sources of data, namely, the USDA’s estimates given in Seale et al. (2003) and Muhammad et al. (2011) and the USDA’s literature review database, were used as a basis to build the database presented here. We started with the structure of the USDA literature review database, which includes useful information on each elasticity estimate, such as the references of the papers from which the estimates have been collected; the countries, products and time periods concerned; the types of data used to conduct estimations; and the demand models estimated. The elasticities estimated by Seale et al. (2003) and Muhammad et al. (2011) were also included. We then reviewed the primary studies to check the information included in the USDA database and to ensure the consistency of the data. Of the 74 references present in these data, five PhD dissertations were not available to us, thus restricting our ability to verify the data and to collect new information, and we decided to exclude these references. In a second step, we searched for new references providing food demand elasticity estimates in the economic literature with a focus on pre-2005 studies dealing with countries other than the US and China and with a focus on post-2005 studies regardless of the country. The search was performed with Google Scholar in March 2015 using the following combinations of keywords: “price, elasticities, food, demand” and “income, elasticities, food, demand”. We did not limit our search to published papers; working papers, reports, and papers presented at conferences were also included. A total of 72 references were collected in this way. All price and income elasticity estimates of food demand reported in these references were collected. Among own price elasticities we distinguished uncompensated (Marshallian) price elasticities from compensated (Hicksian) elasticities. The final database contains 25,117 food demand elasticities estimates collected from 148 studies published between 1973 and 2014. Information included and data coding: In addition to the values of elasticity estimates and the references of the primary studies from which they have been collected, our database incorporate several variables aimed at providing detailed information on the estimated values. These descriptive variables contain information related to the type of data used to estimate the elasticities (time series, panel or cross section), to whether these data have been collected at the micro (household) or macro (country) level, to the decade in which they have been collected, which ranges from 1950 to 2010, and to the countries and products to which these data refer. To homogenize the information on food products, product names as they appear in the primary studies are mapped to the following eight product categories: beverages and tobacco, cereals, dairy products, fruits and vegetables, oils and fats, meat and fish, other food products and non-food products. Given that these categories are in some cases much broader than the product levels considered in primary studies, a variable representing the aggregation level of the primary data is also associated with each observation. The following four aggregation levels are considered: “global food aggregate”; “product category aggregate”, which corresponds to the aforementioned categories; “product level”, which refers to single products, for instance bananas and apples for fruits, beef and poultry for meat, wheat and corn for cereals, etc.; “differentiated product level”, which refers to products differentiated by specific characteristics, for instance, organic or conventional for fruits and vegetables or cereals and types of cut for meat. Country names are converted into standard ISO-alpha-3 country codes (International Organization for Standardization) and are mapped to 11 world regions. Where applicable, we also report in our data information concerning the types (urban, rural or any type) of households from which the primary data have been collected. Finally, information related to the functional form of the demand system from which the elasticities have been estimated is also reported in the database. A description of these variables and the coding of their modalities is provided in the "Elasticities_Review_datacoding" file associated to the database file. References Femenia, F. (2019). A meta-analysis of the price and income elasticities of food demand. German Journal of Agricultural Economics, 68(2), 77-98. Muhammad, A., Seale, J.L., Meade, B., Regmi, A. (2011). International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data. USDA-ERS Technical Bulletin, No. 1929, 59 p Seale, J.L., Regmi, A., Bernstein, J. (2003). International evidence on food consumption patterns. USDA Technical Bulletin, No. TB-1904. 70 p. USDA. (2005). Commodity and food elasticities. Accessed May 2015.

Description: Food and commodity prices are central indicators and a popular research area in economic and social history. Examples for this are the historical cyclical analysis, the analysis of regional disparities and the research on historical living standards. The basis of the collection of price historical sources in hand is a comprehensive collection of material on price and wage history of the Göttingen institute for economic and social history (Göttinger Instituts für Wirtschafts- und Sozialgeschichte). This outstanding collection was based on the works of Moritz J. Elsass from the beginning of the 1930s and was extended in the beginning of the 1960s under the command of Wilhelm Abel in Göttingen. In Göttingen this collection is used since that period as the basis of all historical collections on prices and wages of the archive. In the middle of the 1980s the price historical research was resumed under the command of Hans-Jürgen Gerhard with a larger scale and with the financial help of the Volkswagen foundation. It was concentrated on Northwest Germany (Westphalia, Lower Saxony, the Hanseatic Cities, and Schleswig-Holstein) and was concentrated on the period from around 1650 to 1850. “The comprehensive material taken mainly from archives became part of the historical collections of prices and wages of the Institute for economic and social history of the University of Göttingen and extended the collections of the institute substantially. For the publication in hand a large part of the raw material was transformed in order to get consistent and comparable price series which are universally usable. This meant especially a careful investigation of the measurement of sizes, weights and monetary values used in the sources. The considerable effort in this process made it necessary to publish initially only a part of the data.“ (Gerhard/Kaufhold, a. a. O., p. 1). The selection leaded to the present price and data collection for unprocessed food staples: Product group 1: Wheat and wheat products (tables for barley, oats, rye, wheat, respectively in the consolidated locations); product group 2: legumes, vegetables potatoes and fruits (tables for beans, yellow and green peas, lentils, potatoes, respectively in the consolidated locations); product group 3: meat and meat products (table for meat, beef, veal, lamb, goat meat, pork, respectively in the consolidated locations). Altogether 16 locations were consolidated. Some time series go back to the year 1330 without gaps. In those cases the data was collected from a high number of different archives and libraries in the North German area. The price series are sorted by product groups, within each group by goods and listed by alphabetically ordered regions. Due to this three-part order all price tables have a tripartite serial number. Data tables in Histat The price tables are subdivided by three product groups: A. – Tables, Group 1: Cereals and cereal products, tables for barley, oats, rye, wheat, respectively in the consolidated locations; B. – Tables, Group 2: Legumes, vegetables, potatoes and fruit, tables for beans, yellow and green peas, lentils, respectively in the consolidated locations C. – Tables, Group 3: Meat and meat products, Tables for meat, beef, veal, lamb, goat meat, pork, respectively in the consolidated locations. Register of tables in HISTAT: The following overview contains only the differentiation of price tables to unprocessed basic foods; prices for the goods are divided into further subdivisions for each of the following 16 locations: 01. Braunschweig 02. Bremen 03. Celle 04. Detmold 05. Duderstadt 06. Emden 07. Göttingen 08. Hamburg 09. Hannover 10. Herford 11. Lüneburg 12. Minden 13. Münster 14. Osnabrück 15. Paderborn 16. Waake A. Group 1Cereals and cereal products A.10 Barley A.20 Oat A.30 Rye A.40 Wheat B. Gruppe 2: legumes, vegetables, potatoes and fruits B.10 Beans B.20 Peas B.30 Lentils B.40 Vetches B.50 Potatoes C. Group 3: Meat and meat products C.10 Beef C.11 Veal C.12 Ox meat C.20 Mutton C.21 Goats C.30 Pork Preise – seien es Lebensmittel- oder Rohstoffpreise – sind sowohl zentrale Indikatoren als auch bevorzugtes Forschungsgebiet der Wirtschafts- und Sozialgeschichte. Als Beispiele können die historische Konjunkturforschung, die Analyse regionaler Disparitäten und die Erforschung geschichtlicher Lebensstandards genannt werden. Die Grundlage der vorliegenden preishistorischen Quellensammlung bildet die umfangreiche Materialiensammlung zur Preis- und Lohngeschichte des Göttinger Instituts für Wirtschafts- und Sozialgeschichte. Diese herausragende Sammlung ging von den seit Anfang der 1930er Jahren betriebenen Vorarbeiten von Moritz J. Elsass aus und wurde unter der Leitung von Wilhelm Abel Anfang der 60er Jahre in Göttingen erweitert, wo sie seitdem den Grundstock der Preis—und Lohngeschichtlichen Sammlungen des Archivs bildet. Mitte der 1980er Jahre wurde die preishistorische Forschung unter der Leitung von Hans-Jürgen Gerhard in größerem Umfang mit Hilfe der Förderung durch die Volkswagenstiftung wieder aufgenommen. Sie konzentrierte sich auf Nordwestdeutschland (Westfalen, Niedersachsen, die Hansestädte, Schleswig-Holstein) und hier auf die Zeit von um 1650 bis 1850. „Das umfangreiche, dabei vor allem aus den Archiven gewonnene Material ging in die Preis- und Lohngeschichtlichen Sammlungen des Instituts für Wirtschafts- und Sozialgeschichte der Universität Göttingen ein und erweiterte diese ganz erheblich. Ein wesentlicher Teil des Rohmaterials wurde für die vorliegende Publikation in eine Form gebracht, die in möglichst langen Preisreihen - in sich konsistent und untereinander vergleichbar - universal verwendbar sind. Das bedeutete vor allem eine sorgfältige Untersuchung der Maß- und Gewichtsgrößen sowie der Geldwerte, mit denen sie in den Quellen aufgeführt worden waren. Der hohe Aufwand bei der Bearbeitung zwang dazu, zunächst aus der Fülle der vorliegenden Angaben nur einen Teil zur veröffentlichen“ Gerhard/Kaufhold, a. a. O., S. 1). Die Auswahl führte zu der vorliegenden Preis-Datensammlung für unverarbeitete Grundnahrungsmittel: Produktgruppe 1: Getreide und Getreideprodukte (Tabellen für Gerste, Hafer, Roggen, Weizen, jeweils in den einbezogenen Orten); Produktgruppe 2: Hülsenfrüchte Gemüse, Kartoffeln und Obst (Tabellen für Bohnen, Gelbe und grüne Erbsen, Linsen, Kartoffeln, jeweils in den einbezogenen Orten); Produktgruppe 3: Fleisch und Fleischprodukte (Tabellen für Rindfleisch, Ochsenfleisch, Kalbfleisch, Hammelfleisch, Schnuckenfleisch, Schweinefleisch, jeweils in den einbezogenen Orten). Insgesamt wurden 16 Orte einbezogen. Einige Reihen reichen lückenlos bis in das Jahr 1330 zurück. Die Daten wurden dabei aus Materialien in zahlreichen verschiedenen Archiven und Bibliotheken des norddeutschen Raumes zusammengestellt. Die Preisreihen als solche sind nach Warengruppen geordnet, innerhalb der Gruppe nach Gütern und bei diesen wiederum alphabetisch nach Orten. Dieser dreiteiligen Ordnung angepasst besitzen alle Preistabellen eine dreigliedrige Ordnungsziffer. Datentabellen in HISTAT (Thema: Preise): Die Preistabellen sind nach drei Produktgruppen untergliedert: A. – Tabellen, Gruppe 1: Getreide und Getreideprodukte, Tabellen für Gerste, Hafer, Roggen, Weizen, jeweils in den einbezogenen Orten; B. Tabellen, Gruppe 2: Hülsenfrüchte Gemüse, Kartoffeln und Obst, Tabellen für Bohnen, Gelbe und grüne Erbsen, Linsen, Kartoffeln, jeweils in den einbezogenen Orten; C. – Tabellen, Gruppe 3: Fleisch und Fleischprodukte, Tabellen für Rindfleisch, Ochsenfleisch, Kalbfleisch, Hammelfleisch, Schnuckenfleisch, Schweinefleisch, jeweils in den einbezogenen Orten. Quellen: Materialien aus Staats- und Stadtarchiven sowie aus Bibliotheken. Geheimes Staatsarchiv Berlin (Preußischer Kulturbesitz); Spezialarchive: Clausthal (Altregistratur des Oberbergamtes); Göttingen (Preis- und Lohngeschichtliche Sammlungen des Instituts für Wirtschafts- und Sozialgeschichte der Georg-August-Universität, Göttingen); Waake (Privatarchiv der Familie von Wangenheim).

Monthly average retail prices for selected products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

Overall changes in beef production and carcass yield trends.

Descriptive statistics and expected sign effects of the independent variables on beef meat production quantity from 1990 to 2019.