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Lean Hogs rose to 108.42 USd/Lbs on July 23, 2025, up 0.62% from the previous day. Over the past month, Lean Hogs's price has fallen 3.39%, but it is still 15.61% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lean Hogs - values, historical data, forecasts and news - updated on July of 2025.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Lean hog futures saw gains on Thursday, with USDA noting mixed trends in hog prices and export sales. Explore the details of market movements and export activities.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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United States PCE Inflation Nowcast: sa: Contribution: Commodity Prices: Lean Hogs Futures: CME: Settlement Price: 1st Month data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. United States PCE Inflation Nowcast: sa: Contribution: Commodity Prices: Lean Hogs Futures: CME: Settlement Price: 1st Month data is updated weekly, averaging 0.000 % from Apr 2019 (Median) to 12 May 2025, with 320 observations. The data reached an all-time high of 15.277 % in 17 May 2021 and a record low of 0.000 % in 12 May 2025. United States PCE Inflation Nowcast: sa: Contribution: Commodity Prices: Lean Hogs Futures: CME: Settlement Price: 1st Month data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Personal Consumption Expenditure (PCE) Inflation: Headline.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
In 2023, the average domestic retail price of lean pork meat from hog livestock or pork kasim in the Philippines was approximately ****** Philippine pesos per kilogram. The average retail price of pork meat in the country consistently increased since 2018.
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United States Livestock Price: Hog: Barrows & Gilts: Livewt: Natl Base: 51-52%Lean data was reported at 62.500 USD/cwt in Apr 2025. This records a decrease from the previous number of 64.510 USD/cwt for Mar 2025. United States Livestock Price: Hog: Barrows & Gilts: Livewt: Natl Base: 51-52%Lean data is updated monthly, averaging 51.622 USD/cwt from Jan 2000 (Median) to Apr 2025, with 304 observations. The data reached an all-time high of 95.171 USD/cwt in Jul 2014 and a record low of 26.980 USD/cwt in Sep 2002. United States Livestock Price: Hog: Barrows & Gilts: Livewt: Natl Base: 51-52%Lean 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.
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Hong Kong Retail Price: Pork: Lean Meat data was reported at 73.200 HKD/kg in Oct 2018. This records an increase from the previous number of 72.800 HKD/kg for Sep 2018. Hong Kong Retail Price: Pork: Lean Meat data is updated monthly, averaging 35.430 HKD/kg from Feb 1981 (Median) to Oct 2018, with 453 observations. The data reached an all-time high of 76.300 HKD/kg in Apr 2017 and a record low of 16.570 HKD/kg in Mar 1981. Hong Kong Retail Price: Pork: Lean Meat data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.P002: Average Retail Price: Selected Food Items.
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Singapore Retail Prices: Meat and Poultry: Chilled Lean Pork data was reported at 13.850 SGD/kg in Oct 2018. This records an increase from the previous number of 13.770 SGD/kg for Sep 2018. Singapore Retail Prices: Meat and Poultry: Chilled Lean Pork data is updated monthly, averaging 8.385 SGD/kg from Nov 1980 (Median) to Oct 2018, with 456 observations. The data reached an all-time high of 14.170 SGD/kg in Feb 2016 and a record low of 5.850 SGD/kg in May 1987. Singapore Retail Prices: Meat and Poultry: Chilled Lean Pork data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.P001: Average Retail Prices.
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Pig Fat Free of Lean Meat Price Per Unit in Czech Republic, 2021 Discover more data with ReportLinker!
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Mexico Consumer Price Index (CPI): Food: Meat: PMO: Lean Pork data was reported at 156.833 Jun2002=100 in Dec 2010. This records a decrease from the previous number of 157.766 Jun2002=100 for Nov 2010. Mexico Consumer Price Index (CPI): Food: Meat: PMO: Lean Pork data is updated monthly, averaging 42.021 Jun2002=100 from Jan 1980 (Median) to Dec 2010, with 372 observations. The data reached an all-time high of 157.766 Jun2002=100 in Nov 2010 and a record low of 0.166 Jun2002=100 in Jan 1980. Mexico Consumer Price Index (CPI): Food: Meat: PMO: Lean Pork data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I005: Consumer Price Index: 2002=100.
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Philippines Retail Price: Pork, Lean Meat: National Capital Region data was reported at 333.080 PHP/kg in 31 Dec 2022. This records an increase from the previous number of 331.620 PHP/kg for 15 Dec 2022. Philippines Retail Price: Pork, Lean Meat: National Capital Region data is updated daily, averaging 342.430 PHP/kg from Jan 2021 (Median) to 31 Dec 2022, with 45 observations. The data reached an all-time high of 375.222 PHP/kg in 30 Jan 2021 and a record low of 292.436 PHP/kg in 31 Oct 2021. Philippines Retail Price: Pork, Lean Meat: National Capital Region data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.P003: Retail Price: Selected Agricultural Commodities.
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Pig Fat Free of Lean Meat Price Per Unit in Slovenia, 2020 Discover more data with ReportLinker!
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According to Cognitive Market Research, the global Pig Farming market size is USD 3151.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 2.30% from 2024 to 2031.
North America held the major market of more than 40% of the global revenue with a market size of USD 1260.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 0.5% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 945.36 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 724.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.3% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 157.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 1.7% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 63.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.0% from 2024 to 2031
. The commercial breeds held the highest Pig Farming market revenue share in 2024. Market Dynamics of Pig Farming Market
Key Drivers for Pig Farming Market
Increasing Demand for Pork to Propel the Market Revenue Growth
The demand for pork, a major source of protein in many diets, has increased due to the expanding worldwide population, especially in emerging economies. Urbanization, shifting food tastes, and growing disposable incomes are some of the causes driving this demand. For instance, according to the U.S. Department of Agriculture, a higher-than-expected February production led to a 30 million increase in the first-quarter commercial pork production to 7.2 billion pounds. It is anticipated that 27.9 billion pounds of commercial pork would be produced in 2024, a 2.2% increase over the previous year. It is predicted that the average live price of 51–52 percent lean pigs will be $61 per cwt, which is 3.7% more than in 2023. Due to increased demand from significant importing nations and declining EU pork competitiveness as a result of higher prices and decreased supply, pork exports are expected to increase by 50 million pounds by 2024. Pork exports are predicted to total 7.1 billion pounds in 2024, 4.6 percent more than shipments from the previous year.
Source: https://www.ers.usda.gov/topics/animal-products/hogs-pork/market-outlook/.
Rising Food Demand to Propel Market Growth
The growing food demand is expected to drive the pig farming market during the forecast period. The world's population is continually increasing, and with it, the demand for food rises. As more people require sustenance, there's a proportional increase in the demand for protein sources like pork. As per the report published by Food and Agriculture Organization, between 2009 and 2050, the world's population is predicted to increase by more than a third, or 2.3 billion people. Based on the forecasts, it would be necessary to increase global food production by around 70% between 2005/07 and 2050 to feed the 9.1 billion people that will live the planet by then.
Source: https://www.fao.org/fileadmin/templates/wsfs/docs/Issues_papers/HLEF2050_Global_Agriculture.pdf
Restraint Factor for the Pig Farming Market
Environmental Concerns to Limit the Expansion of the Market
Negative effects of pig farming on the environment can include waste disposal and nutrient runoff polluting the air, soil, and water resources. Pig farmers may face difficulties due to worries about environmental sustainability and pressure from regulations to mitigate these effects, especially if they operate in highly populated or environmentally sensitive areas. According to the study by New Root Institute, a large pig farm has the capacity to produce up to 1.6 million tons of manure annually. These enormous amounts can be difficult to handle, and manure can find its way into the surrounding groundwater and air, harming the local ecosystem and possibly posing health risks to adjacent communities.
Impact of Covid-19 on the Pig Farming Market
The COVID-19 pandemic has had a significant impact on the pig farming market, both in terms of immediate disruptions and longer-term implicat...
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The global lean type raw pork market is experiencing robust growth, driven by increasing consumer demand for healthier protein sources and the rising popularity of lean pork in various culinary applications. While precise figures for the lean type raw pork segment aren't provided, we can estimate its market size and growth based on the overall raw pork market data and industry trends. Assuming lean pork constitutes approximately 30% of the total raw pork market (a reasonable estimate considering increasing health consciousness), and using a hypothetical total raw pork market size of $100 billion in 2025 (a plausible figure given global meat market values), the lean type raw pork market size in 2025 would be approximately $30 billion. Further, if the overall raw pork market experiences a Compound Annual Growth Rate (CAGR) of, for example, 5% (a conservative estimate considering fluctuating factors like feed prices and disease outbreaks), the lean type raw pork market would likely mirror this growth, resulting in a projected market size of roughly $37.5 billion by 2030. This growth is propelled by several factors: increasing consumer awareness of health and wellness, the versatility of lean pork in various cuisines (contributing to rising demand in both food industrial and dining segments), and the continuous improvement in pork farming techniques resulting in higher lean meat yields. However, potential restraints include fluctuations in feed costs, the impact of African swine fever outbreaks (affecting overall pork production), and increasing competition from alternative protein sources. The segmentation of the lean type raw pork market closely follows the broader pork market, with significant demand from both the food industrial sector (processed meats, sausages, etc.) and the dining sector (restaurants, households). The geographical distribution mirrors global pork consumption patterns, with North America, Europe, and Asia-Pacific representing the largest market shares. The competitive landscape is dominated by major players like Smithfield Foods, JBS S.A., and Cargill, who are constantly investing in improving production efficiency and expanding their global reach. The forecast period (2025-2033) presents significant opportunities for market expansion, particularly in developing economies with increasing disposable incomes and changing dietary habits, though challenges related to supply chain stability and sustainable farming practices will need to be addressed for continued growth.
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Philippines Retail Price: Pork, Lean Meat: Metro Manila data was reported at 220.000 PHP/kg in 07 Dec 2018. This stayed constant from the previous number of 220.000 PHP/kg for 30 Nov 2018. Philippines Retail Price: Pork, Lean Meat: Metro Manila data is updated weekly, averaging 190.000 PHP/kg from Dec 2013 (Median) to 07 Dec 2018, with 259 observations. The data reached an all-time high of 220.000 PHP/kg in 07 Dec 2018 and a record low of 180.000 PHP/kg in 20 Jan 2017. Philippines Retail Price: Pork, Lean Meat: Metro Manila data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.P001: Retail Price: Selected Agricultural Commodities.
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Pig Fat Free of Lean Meat Price Per Unit in Croatia, 2018 Discover more data with ReportLinker!
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Statistics illustrates the import price of Pig fat, free of lean meat, and poultry fat, not rendered or otherwise extracted, fresh, chilled, frozen, salted, in brine, dried or smoked in Bermuda from 2007 to 2024 by trade partner.
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Lean Hogs rose to 108.42 USd/Lbs on July 23, 2025, up 0.62% from the previous day. Over the past month, Lean Hogs's price has fallen 3.39%, but it is still 15.61% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lean Hogs - values, historical data, forecasts and news - updated on July of 2025.