Lumber fell to 615.03 USD/1000 board feet on July 2, 2025, down 0.72% from the previous day. Over the past month, Lumber's price has risen 3.44%, and is up 35.30% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lumber - values, historical data, forecasts and news - updated on July of 2025.

The price of lumber in the United States fluctuated widely over the last five years, from a low of 240 dollars per 1,000 board feet in January 2016 to a peak of over 1,500 dollars in April 2021. This overall increase has not been linear though, with, for example, lumber prices falling by around 50 percent between June and September 2018, and again between August and October 2020. The value fell again by around 75 percent between May and August 2021. As of the end of December 2024, the price of lumber stood at 550.5 U.S. dollars per thousand board feet. Which nations are at the forefront of lumber production? The production of lumber is dependent on the availability of forest resources, market demand, and technological advances. Sustainable forest management practices a continuous supply of timber, while economic factors and construction activity drive demand. Among the countries countries with the largest production of lumber were China and the United States. Other countries with a relatively high lumber production rate were Russia, China, and Brazil.

Interactive chart of historical daily lumber prices back to 1972. The price shown is in U.S. Dollars per thousand board feet.

Non-seasonal prices paid for softwood lumber in the United States have remained relatively stable since 2023, after reaching a peak in March 2022. While the price of softwood lumber in May 2021 was valued at over 581 index points, that figure dropped to 274 in September of that year. The price of softwood veneer and plywood in the United States has also followed a similar trend.

The price of lumber has seen both an overall increase, and large amounts of volatility since 2019. From its low in early April 2020 to its peak in May 2021, the price per 1,000 board feet of lumber increased almost sevenfold, reaching ***** U.S. dollars. Yet, after reaching this peak the price then fell to below *** U.S. dollars per 1,000 board feet in August 2021 before rising again to reach over 1,000 U.S. dollars in the beginning of 2022. Since then, the price per 1,000 board feet of lumber decreased overall, reaching *** U.S. dollars as of January 29, 2025.

Graph and download economic data for Producer Price Index by Commodity: Lumber and Wood Products: Lumber (WPS081) from Jan 1967 to May 2025 about wood, commodities, PPI, inflation, price index, indexes, price, and USA.

This table contains 30 series, with data for years 1961 - 2001 (not all combinations necessarily have data for all years), and was last released on 2001-10-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (8 items: Atlantic Region; Ontario; Quebec; Prairie Region ...), Commodities (9 items: Lumber; softwood; Lumber; softwood; Douglas fir; Lumber; softwood; spruce-pine-fir; Lumber; softwood; hemlock ...).

United States - Producer Price Index by Commodity: Lumber and Wood Products: Lumber was 277.36400 Index 1982=100 in March of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Lumber and Wood Products: Lumber reached a record high of 462.00000 in May of 2021 and a record low of 4.50000 in August of 1932. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Lumber and Wood Products: Lumber - last updated from the United States Federal Reserve on May of 2025.

According to Cognitive Market Research, the global Lumber market size will be USD XX million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD XX million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.7% from 2024 to 2031.
The sustainable products category is the fastest growing segment of the Lumber industry

Market Dynamics of Lumber Market

Key Drivers for Lumber Market

Increased infrastructure development fuels lumber consumption and market growth to Boost Market Growth

The key drivers that dominate the growth of the lumber market due to increased infrastructure development include rising urbanization, population growth, and an expanding construction sector. As countries invest heavily in infrastructure projects such as roads, bridges, and residential and commercial buildings, there is a growing demand for Lumber as a primary building material. Additionally, the increasing focus on sustainable and eco-friendly construction practices has led to a preference for wood-based products, driving up lumber consumption. Government initiatives and policies aimed at enhancing urban development and improving infrastructure further stimulate the demand for Lumber. Moreover, the growing trend of wood's aesthetic and environmental benefits in interior design and construction projects contributes to market growth. The continuous development of new technologies in lumber processing and efficient supply chain management also boosts the availability of quality lumber, enhancing its consumption in the market. These factors collectively fuel the global lumber market growth.

Rising home construction projects drive lumber demand and prices

Rising home construction projects are a key driver of increased lumber demand and prices. The expansion of residential construction, fueled by population growth, urbanization, and low interest rates, boosts the need for Lumber. As more people seek homeownership and housing inventory remains limited, the demand for building materials, particularly Lumber, intensifies. Supply chain disruptions, limited mill capacity, and labor shortages further exacerbate the supply-demand imbalance, contributing to price hikes. Additionally, increasing government investment in infrastructure and housing projects, along with the shift toward sustainable building practices, is expected to continue driving demand for Lumber in the coming years.

Restraint Factor for the Lumber Market

Unpredictable timber costs affect pricing and profitability

Unpredictable timber costs pose significant restraints in the timber industry, directly influencing pricing and profitability. Fluctuations in raw material costs, driven by factors like supply chain disruptions, environmental regulations, and demand shifts, make it difficult for businesses to forecast expenses. This uncertainty can lead to pricing instability, forcing companies to either absorb higher costs or pass them onto consumers, which impacts competitiveness. Additionally, profitability is threatened as businesses struggle to maintain margins amidst rising or volatile timber prices. Long-term planning and financial stability are hindered, limiting growth opportunities and operational efficiency.

Trend Factor for the Lumber Market

Sustainable forestry and eco-certified lumber are gaining momentum

The lumber market is undergoing a significant transformation towards sustainability, characterized by an increasing demand for eco-certified and responsibly sourced wood products. Stakeholders including consumers, builders, and governments are emphas...

Throughout the timeline, hard sawn wood has had higher prices than any other type of timber. In 2023, its price amounted to *** U.S. dollars per cubic meter, which is twice higher than that of hard timber logs. During that period, hard logs were the cheapest type of timber at approximately *** U.S. dollars per cubic meter. Meanwhile, lumber prices in the U.S. have fluctuated a lot since February 2020.

Get the latest insights on price movement and trend analysis of Softwood Lumber meal in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

Graph and download economic data for Producer Price Index by Commodity: Lumber and Wood Products: Hardwood Cut Stock and Dimension (WPU081203) from Dec 1980 to May 2025 about floor coverings, stocks, wood, commodities, PPI, inflation, price index, indexes, price, and USA.

Explore the factors influencing current lumber prices, including supply chain disruptions, demand fluctuations, and economic policies. Understand the market dynamics post-pandemic, its impact on construction costs, and the role of tariffs, trade policies, and sustainability practices.

American lumber prices have decreased threefold, closing in on pre-COVID levels, which should drive global prices down. The change in lumber prices is largely influenced by slumping demand for real estate which became more expensive from diminished access. In Russia, the world’s largest supplier, a sharp increase in lumber exports led to a shortage in the domestic market. Attempting to hold the price growth instigated by that, the Russian government implemented 10% export duties on lumber until the end of 2021. Due to this, the main importers of Russian goods may opt for other suppliers.

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.

BlueLinx (BXC) Stock Forecast: Navigating the Lumber Market Volatility

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

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 lumber 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

Explore the factors influencing softwood lumber prices, including supply chain disruptions, trade tariffs, and environmental policies. Understand the volatility and broader economic trends affecting builders and policymakers.

The provided information includes: the year of the Republic of China, the queried month, the report code, the report type, the tree species code, the tree species name, the specification, the average price in January, the difference from last year's average price in January, the price increase or decrease notes in January, the average price in February, the difference from last year's average price in February, the price increase or decrease notes in February, the average price in March, the difference from last year's average price in March, the price increase or decrease notes in March, the average price in April, the difference from last year's average price in April, the price increase or decrease notes in April, the average price in May, the difference from last year's average price in May, the price increase or decrease notes in May, the average price in June, the difference from last year's average price in June, the price increase or decrease notes in June, the average price in July, the difference from last year's average price in July, the price increase or decrease notes in July, the average price in August, the difference from last year's average price in August, the price increase or decrease notes in August, the average price in September, the difference from last year's average price in September, the price increase or decrease notes in September, the average price in October, the difference from last year's average price in October, the price increase or decrease notes in October, the average price in November, the difference from last year's average price in November, the price increase or decrease notes in November, the average price in December, the difference from last year's average price in December, the price increase or decrease notes in December, the average price from the beginning of the year to the current month, the average price in the same period last year, the percentage change, and the price increase or decrease notes.

The Wholesale Price Index of wood and wood products across India during financial year 2024 was over 146.6. The price index value of wood related products increased by about 41 percent from the base year of 2012. An overall increase in the price index was seen over the years from financial year 2013 in the country.

Explore the complexities of random lengths lumber pricing, its impact on construction and furnishings, and factors influencing fluctuating prices, such as supply chain disruptions and global events. Discover why understanding these dynamics is vital for builders, buyers, investors, and suppliers.