Live Cattle rose to 224.69 USd/Lbs on June 27, 2025, up 1.39% from the previous day. Over the past month, Live Cattle's price has risen 5.00%, and is up 21.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Live Cattle - values, historical data, forecasts and news - updated on June of 2025.

Feeder Cattle rose to 307.94 USd/Lbs on June 27, 2025, up 1.57% from the previous day. Over the past month, Feeder Cattle's price has risen 4.19%, and is up 18.88% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Feeder Cattle - values, historical data, forecasts and news - updated on June of 2025.

How many cattle are in the world? The global live cattle population amounted to about 1.57 billion heads in 2023, up from approximately 1.51 million in 2021. Cows as livestock The domestication of cattle began as early as 10,000 to 5,000 years ago. From ancient times up to the present, cattle are bred to provide meat and dairy. Cattle are also employed as draft animals to plow the fields or transport heavy objects. Cattle hide is used for the production of leather, and dung for fuel and agricultural fertilizer. In 2022, India was home to the highest number of milk cows in the world. Cattle farming in the United States Cattle meat such as beef and veal is one of the most widely consumed types of meat across the globe, and is particularly popular in the United States. The United States is the top producer of beef and veal of any country worldwide. In 2021, beef production in the United States reached 12.6 million metric tons. Beef production appears to be following a positive trend in the United States. More than 33.07 million cattle were slaughtered both commercially and in farms annually in the United States in 2019, up from 33 million in the previous year.

Argentina Average Live Cattle Price: Cow data was reported at 1,481.757 ARS/kg in Apr 2025. This records an increase from the previous number of 1,427.166 ARS/kg for Mar 2025. Argentina Average Live Cattle Price: Cow data is updated monthly, averaging 3.683 ARS/kg from Jun 1995 (Median) to Apr 2025, with 359 observations. The data reached an all-time high of 1,564.695 ARS/kg in Nov 2024 and a record low of 0.412 ARS/kg in Jun 1996. Argentina Average Live Cattle Price: Cow data remains active status in CEIC and is reported by Liniers Cattle Market. The data is categorized under Global Database’s Argentina – Table AR.P005: Liniers Cattle Market Prices.

In the U.S., there have been approximately three times more beef cows than dairy cows each year since 2001. As of 2024, it was estimated that there were about 28 million beef cows and only about 9.3 million dairy cows. Beef vs. dairy cows Both beef and dairy cows are bred for their respective purposes and farmers often look for different qualities in each. Dairy cows are often bigger, as they can produce a larger volume of milk. Beef cows on the other hand are generally shorter and there is more emphasis on their muscle growth, among other qualities. In 2022, over 28 billion pounds of beef were produced in the United States. U.S. milk production and consumption The United States was among the top consumers of milk worldwide in 2022, surpassed only by India and the European Union. The annual consumption of milk in the U.S. that year was just under 21 million metric tons. To keep up with this level of consumption, milk production in the U.S. has increased by over 60 billion pounds since 1999 and is expected to exceed 228 billion pounds by 2023. California and Wisconsin were the top producing states as of 2022, producing about 41.8 and 31.9 billion pounds of milk, respectively.

Argentina Average Live Cattle Price: Calf data was reported at 64.557 ARS/kg in Apr 2019. This records a decrease from the previous number of 64.862 ARS/kg for Mar 2019. Argentina Average Live Cattle Price: Calf data is updated monthly, averaging 2.853 ARS/kg from Jun 1995 (Median) to Apr 2019, with 287 observations. The data reached an all-time high of 65.460 ARS/kg in Feb 2019 and a record low of 0.771 ARS/kg in Aug 1995. Argentina Average Live Cattle Price: Calf data remains active status in CEIC and is reported by Liniers Cattle Market. The data is categorized under Global Database’s Argentina – Table AR.P005: Liniers Cattle Market Prices.

Graph and download economic data for Producer Price Index by Commodity: Farm Products: Slaughter Cattle (WPU0131) from Jan 1947 to May 2025 about slaughter, cattle, livestock, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

CME feeder cattle futures

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The US beef cattle production industry is currently marked by tight supply conditions and elevated prices. Over recent years, persistent drought conditions have led to significant herd liquidation, with beef cow numbers falling to historic lows. This contraction has created a bottleneck in calf production and feeder cattle availability, sustaining high cattle prices. In tandem, elevated feed costs have further pressured prices upwards, driving revenue as cattle producers seek to pass on costs and maintain their heightened profit. As herd rebuilding has remained slow, cattle supplies have remained low and kept prices high even as feed, energy and other key agricultural input costs have declined from their highs in 2022. Industry revenue has grown at a CAGR of 6.3% during the current period to reach an estimated $97.3 billion after declining by 1.0% in 2025. Consumer preferences are shifting in the beef cattle production industry. There is an increasing awareness of environmental and health-related concerns associated with beef consumption. Consequently, many consumers are reducing their intake of conventional beef, turning instead towards more sustainable and perceived healthier alternatives such as grass-fed and organic beef. This shift has spurred growth in these segments as consumers look for transparency and ethical farming practices. Retailers and restaurants have responded accordingly by offering more options that align with these consumer preferences. However, these trends also pose challenges, especially for smaller producers who face significant costs associated with transitioning to sustainable practices or achieving certifications like organic or "sustainably raised." Though opportunities for growth will continue to present themselves, the outlook for the industry as a whole does not look as positive in the next five years. Poultry, pork and plant-based proteins will threaten beef demand as they appeal to health-conscious customers, particularly as cattle prices are elevated. Climate change will also continue to introduce environmental pressures, demanding resilience and adaptability from producers. Periods of stable weather could facilitate herd rebuilding, leading to increased cattle supplies and dropping prices, but continued climatic fluctuations and extreme weather events could reduce the consistency of production and increase revenue volatility. Advancements in technology, such as drones and wearable sensors, promise to help optimize cattle management, improving operational efficiencies and animal welfare. These innovations, however, require investment and broader accessibility to ensure equitable adoption across the industry. Additionally, while global trade disruptions remain a concern due to disease outbreaks and geopolitical tensions, US producers will have opportunities in niche market segments to differentiate themselves, counterbalancing some of these pressures. Overall, revenue for cattle producers is forecast to decline through 2030 at a CAGR of 1.5% to $90.4 billion.

This EnviroAtlas dataset summarizes by county the number of farm operations with dairy cows and the number of heads they manage. The data come from the Census of Agriculture, which is administered every five years by the US Department of Agriculture (USDA), and include the years 2002, 2007, 2012, and 2017. The Census classifies cattle managed on operations as beef cows, dairy cows, or other cattle (which encompasses heifers, steers, bulls, and calves). Only data regarding dairy cows are displayed in this layer. Operations are categorized into small, medium, or large, based on how many heads they manage. For each county and Census year, the dataset reports the number of farm operations that manage dairy cows, the number of heads on their property at the end of the Census year, and a breakdown of the operations into small, medium, and large. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This dataset shows annual average prices received by Ontario livestock farmers for:

• bulls
• cows
• steers
• heifers
• calves
• cattle
• pigs
• hogs
• sheep
• lambs
• unprocessed milk from bovine
• chicken
• turkey
• eggs in shell

Value per head of livestock at July 1, Canada and provinces (in dollars). Data are available on an annual basis.

Livestock Price: Feeder Cattle, OKC: Heifers: Medium #1: 450-500 lbs data was reported at 349.750 USD/cwt in Apr 2025. This records an increase from the previous number of 344.580 USD/cwt for Mar 2025. Livestock Price: Feeder Cattle, OKC: Heifers: Medium #1: 450-500 lbs data is updated monthly, averaging 141.445 USD/cwt from Jan 2000 (Median) to Apr 2025, with 304 observations. The data reached an all-time high of 349.750 USD/cwt in Apr 2025 and a record low of 80.770 USD/cwt in Sep 2002. Livestock Price: Feeder Cattle, OKC: Heifers: Medium #1: 450-500 lbs data remains active status in CEIC and is reported by Economic Research Service. The data is categorized under Global Database’s United States – Table US.P002: Livestock Price.

Current price of Cow Cutter 90% 350#/up, Cutout. Daily U.S. Boxed Beef Cow prices per pound, based on negotiated prices and volume of boxed beef cuts delivered within 0-21 days and on average industry cutting yields.

United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows data was reported at 9,349.300 Head th in 2025. This records an increase from the previous number of 9,346.800 Head th for 2024. United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows data is updated yearly, averaging 9,349.300 Head th from Dec 1926 (Median) to 2025, with 17 observations. The data reached an all-time high of 9,450.400 Head th in 2021 and a record low of 9,208.600 Head th in 2014. United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows data remains active status in CEIC and is reported by Economic Research Service. The data is categorized under Global Database’s United States – Table US.RI018: Cattle Inventory.

China Livestock: Number: Cow: Dairy Cow data was reported at 11,601.000 Unit th in 2022. This records an increase from the previous number of 10,943.000 Unit th for 2021. China Livestock: Number: Cow: Dairy Cow data is updated yearly, averaging 12,603.000 Unit th from Dec 2008 (Median) to 2022, with 15 observations. The data reached an all-time high of 15,072.000 Unit th in 2015 and a record low of 10,377.000 Unit th in 2018. China Livestock: Number: Cow: Dairy Cow data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Agriculture Sector – Table CN.RID: Number of Livestock: Large Animals: Cow .

This statistic shows the value per head of all cattle and calves in the United States from 2001 to 2019. In 2001, the average value stood at 725 U.S. dollars per head. A new record high was reached in 2015, when the value per head stood at 1,584 U.S. dollars.

This dataset contains hours per hours the activity level of cows on four farms. These data were used in Wagner et al. 2021. The dataset contains 4 files, one for each farm. Files are structured as follows: cow working id; date; hour (integer); the time (s) spent 'walking' during one hour (the cow is positioned 'in alleys'); the time (s) spent 'resting’ during one hour (the cow is in a resting area (typically cubicles)); the time (s) spent 'eating' during one hour (the cow is positioned at the feeding table); the activity level (unitless), which is the weighted sum of the time spent in each activity (with the following weights: -0.23 for resting, +0.16 for in alleys, and +0.42 for eating). Due to the weights, the hourly activity level can range from -828 (i.e. -0.23*3600) to 1512 (i.e. 0.42*3600); finally, for each of the 11 types of events, a boolean is provided, for the question "is there this type of event on this hour ?" (i.e. 1 means this type of event were reported for this hour; 0 means that this type of event were not reported for this hour). Note that in fact daily events are reported here at hourly scale. There are 11 types of events: oestrus; calving; lameness includes all types of lameness and issues on claw or leg; mastitis includes all types of mastitis; Event LPS is specific to experimentation as it is for administered lipopolysaccharide (LPS) in the mammary gland on one day to induce inflammation; Event acidosis stands for subacute ruminal acidosis; Event labelled 'other_disease’, which contains all other diseases such as colic, diarrhea, ketosis, milk fever or other infectious disease; Event accidents contains all types of accidents such as retained placenta or vaginal laceration; Event disturbance is mild intervention on animal (e.g. late feeding, alarm test, animal tied for injection, claw trimming, drying of the cow) and other issues on the day but that did not concerned management changes; Event mixing is for when cows were mixed or moved to another park. Event labelled ‘management_changes’ contains marginal management such as ration changes or bed filling. This event is reported in the dataset, but is not considered as influent on the animal behaviour; A final Boolean sum up the information on whether this hour is considered as normal (i.e. if all the booleans (without considering the management changes one) are equal to 0 then this hour can be considered as normal, then the boolean is set to 1). Dataset 2 was also used in Wagner et al., 2020 https://doi.org/10.1016/j.compag.2020.105233 and in Wagner et al., 2020, https://doi.org/10.1007/978-3-030-59491-6_32

Body condition score is an important index to evaluate productivity and body health of dairy cows. Thedataset was taken in Lu 'an City in Anhui province,Huai 'an City in Jiangsu Province , and Wuwei City inGansu province, with a total of 53,566 images.The dataset consists of multiple cow images, built fromimages of cows from large-scale farming farms, each of which has been scored by a team ofprofessional veterinarians for body condition, and the score is used to generate annotation information.Each image was marked with the body condition scoring area of cows, which was divided into 5 sample categories according to BCS, which were 3.25,3.5,3.75,4.0 and 4.25, respectively. The productivity and body health of cows could be evaluated according to different scores.