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.

Lumber fell to 599.02 USD/1000 board feet on July 11, 2025, down 1.89% from the previous day. Over the past month, Lumber's price has fallen 2.99%, but it is still 37.54% higher than a year ago, 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 latest National Statistics on Timber Price Indices produced by the Forestry Commission were released on 14 May 2020 according to the arrangements approved by the UK Statistics Authority.

Timber Price Indices are based on sales by the Forestry Commission and Natural Resources Wales and consist of the Coniferous Standing Sales Price Index and the Softwood Sawlog Price Index. They present data to March 2020 for Great Britain.

Throughout the timeline, hard sawn wood has had higher prices than any other type of timber. In 2024, its price amounted to ****** U.S. dollars per cubic meter, which is twice higher than that of hard timber logs. During that period, soft logs were the cheapest type of timber at approximately ****** U.S. dollars per cubic meter. Meanwhile, lumber prices in the U.S. fluctuated a lot between 2020 and 2022.

Timber prices in the United Kingdom fell in 2023, after having risen at a fast pace in 2021 and 2022. The price index of imported sawn or planed wood grew from 132 in 2020 to 195.6 in 2022. Meanwhile, the cost of imported plywood have increased less sharply, and therefore also had a smaller fall.

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.

Coniferous Standing Sales Price Index for years ending March 1985 to March 2020. The data also give underlying figures for volumes, total prices and average prices by average tree size in Great Britain.

The dataset provides supporting data to the National Statistics release Timber Price Indices.

As of October 2021, the average price of pine construction timber in Hungary totaled **** thousand forints per cubic meter. Over the observed time period, the price of pine construction timber on the domestic market peaked in April 2021, at over ** thousand forints.

The latest National Statistics on forestry produced by the Forestry Commission were released on 24 September 2020 according to the arrangements approved by the UK Statistics Authority.

Detailed statistics are published in the web publication Forestry Statistics 2020, with an extract in Forestry Facts & Figures 2020. They include UK statistics on woodland area, planting, timber, trade, carbon, environment, social, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland.

This dataset covers statistics on economic aspects of forestry, including timber prices.

Explore the factors influencing lumber price volatility since 2020, including the effects of the COVID-19 pandemic, supply chain disruptions, and economic policies. Understand how these variables continue to impact construction costs and market stability.

PPI: LU: LWP: Plywood, Glued Laminated Timber: Special Plywood data was reported at 153.800 2020=100 in Mar 2025. This stayed constant from the previous number of 153.800 2020=100 for Feb 2025. PPI: LU: LWP: Plywood, Glued Laminated Timber: Special Plywood data is updated monthly, averaging 68.000 2020=100 from Jan 1980 (Median) to Mar 2025, with 543 observations. The data reached an all-time high of 159.500 2020=100 in Jun 2023 and a record low of 48.700 2020=100 in Jun 1987. PPI: LU: LWP: Plywood, Glued Laminated Timber: Special Plywood data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I045: Producer Price Index: 2020=100: Lumber & Wood Products.

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.

In September 2024, the producer price index (PPI) value of wood and timber in New Zealand was measured at 1387, marking a decrease from the previous quarter. Producer price indexes are used to measure the price change of products, goods, and services during the production process.

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.

Forestry Production: Value: Timber: Others: Northeast: Maranhão data was reported at 3,000.000 BRL in 2020. This stayed constant from the previous number of 3,000.000 BRL for 2019. Forestry Production: Value: Timber: Others: Northeast: Maranhão data is updated yearly, averaging 3,000.000 BRL from Dec 2019 (Median) to 2020, with 2 observations. The data reached an all-time high of 3,000.000 BRL in 2020 and a record low of 3,000.000 BRL in 2020. Forestry Production: Value: Timber: Others: Northeast: Maranhão data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Agriculture Sector – Table BR.RII034: Forestry Production: Value: Timber: Others.

The last decade’s economic, social, and environmental changes have affected the production, consumption, prices, and trade of forest products in the United States, including in the U.S. South. The tabular data included within this publication are projections, 2020-2070, by scenario, quantifying the effects of changes in future societal and biophysical variables on the States of the U.S. South, the country, and the world on the forest sector. Potential changes are modeled with six scenarios that offer alternative trajectories for economic growth, climate warming, technology, and trade openness. Among these are two scenarios exploring (i) the accelerated adoption of mass timber products in construction and (ii) a large, hypothetical increase in trade restrictions. All scenarios are summarized in terms of changes in production, consumption, prices, and trade in forest products. For the U.S. South, projections are reported by Resources Planning Act Region and the two southern subregions (South Central, Southeast) and, for softwood and hardwood industrial roundwood production quantities and prices, softwood and hardwood lumber production quantities, wood pellet production quantities, and jobs for three forest sector North American Industrial Classification System (NAICS) industries, also at the state level. Historical data by product category, 1990-2015, are also provided for context and comparisons. For each state, historical (1999-2019) and projected (2020-2070) data by scenario are provided for annual, Statewide totals of the number of jobs by three industries, including NAICS 113 (Forestry and Logging), NAICS 321 (Wood Product Manufacturing), and NAICS 322 (Paper Manufacturing).The U.S. Department of Agriculture, Forest Service produces a periodic assessment of the conditions and trends of the Nation's renewable resources required by the Forest and Rangeland Renewable Resources Planning Act (RPA) of 1974. The Southern Research Station of the Forest Service has assessed the potential future of the South's forests and forest sector, sometimes based in part on the RPA Assessment system. The Southern Forest Outlook focuses on the future of the region's wildfire, water resources, and forest product markets. The data offered here on the future of markets, by each of six scenarios, processed through the 2020 RPA Assessment's market model, FOROM, in interaction with the RPA Forest Dynamics Model, offering internally consistent projections of markets and forest resources for the South, the United States, and the world to 2070 for 20 wood products and, for this Outlook, jobs in the forest sector. Such data therefore can serve as the information for decision makers in the public and private sectors and researchers.The FOrest Resource Outlook Model (FOROM) is a global recursive dynamic partial equilibrium model of the forest sector that recognizes Resources Planning Act (RPA) Assessment regions as separate producing, consuming, and trading market regions within a complete global market. FOROM is calibrated to a base year and projects future market variables of price, production, consumption, and trade of primary and secondary forest products across various socioeconomic development paths. Further captured in the model are predicted changes in forest area and forest stocks (inventory volumes) by management category. The model also incorporates changes to forest inventory under specifications of productivity changes as driven by climate change and greenhouse gas accumulations. For more information on the model, please refer to Johnston et al. (2021; https://doi.org/10.2737/SRS-GTR-254).

To read the 2020 RPA Assessment chapter on forest products, please refer to Johnston et al. (2023; https://doi.org/10.2737/WO-GTR-102-Chap7), and for the projection data on markets, please refer to Johnston et al. (2023; https://doi.org/10.2737/RDS-2022-0073-2).

For more information about the data included in this package, see Prestemon and Guo (in press).

United States - Export Price Index (End Use): Logs and Lumber was 115.90000 Index 2000=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Export Price Index (End Use): Logs and Lumber reached a record high of 137.70000 in March of 2022 and a record low of 79.50000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Export Price Index (End Use): Logs and Lumber - last updated from the United States Federal Reserve on July of 2025.

The latest National Statistics on forestry produced by the Forestry Commission were released on 24 September 2020 according to the arrangements approved by the UK Statistics Authority. Detailed statistics are published in the web publication Forestry Statistics 2020, with an extract in Forestry Facts & Figures 2020. They include UK statistics on woodland area, planting, timber, trade, carbon, environment, social, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland. This dataset covers statistics on the production of timber from woodland and primary processing of harvested wood.

The United States and the world underwent immense economic, social and economic change over the ten years since the last Resources Planning Act (RPA) Assessment, all of which have impacts on production and consumption of forest products. The data in this publication include recent trends (1990-2015) in global and U.S. forest products consumption, production, prices, and net trade. These data also include economic projections (2020-2070) of production, consumption, manufactured product prices, net trade, timber harvest levels, and timber prices, as influenced by four future scenarios regarding economic and population growth, and changing biomass energy demand through 2070. These RPA scenarios pair two alternative climate futures (Representative Concentration Pathways or RCPs) with four alternative futures (Shared Socioeconomic Pathways or SSPs) in the following combinations of U.S. socioeconomic growth: RCP 4.5 and SSP1 (lower warming-moderate, LM), RCP 8.5 and SSP3 (high warming-low, HL), RCP 8.5 and SSP2 (high warming-moderate, HM), and RCP 8.5 and SSP5 (high warming-high, HH).The USDA Forest Service (USFS) produces a periodic assessment of the conditions and trends of the Nation's renewable resources required by the Forest and Rangeland Renewable Resources Planning Act (RPA) of 1974. This RPA Assessment provides a snapshot of current U.S. forest and rangeland conditions and trends on all ownerships, identifies drivers of change, and projects 50 years into the future (https://www.fs.usda.gov/research/inventory/rpaa, Resources Planning Act (RPA) Assessment). For the 2020 RPA Assessment, a new market model named FOROM has been developed providing projections to 2070 for 20 wood products. The FOrest Resource Outlook Model (FOROM) is a global recursive dynamic partial equilibrium model of the forest sector that recognizes Resources Planning Act (RPA) Assessment regions as separate producing, consuming, and trading market regions within a complete global market (Johnston et al. 2021).The FOrest Resource Outlook Model (FOROM) is a global recursive dynamic partial equilibrium model of the forest sector that recognizes Resources Planning Act (RPA) Assessment regions as separate producing, consuming, and trading market regions within a complete global market. FOROM is calibrated to a base year and projects future market variables of price, production, consumption, and trade of primary and secondary forest products across various socioeconomic development paths. Further captured in the model are predicted changes in forest area and forest stocks (inventory volumes) by management category. The model also incorporates changes to forest inventory under specifications of productivity changes as driven by climate change and greenhouse gas accumulations. Model solutions generated by FOROM for the 2020 RPA were generated jointly with the RPA Forest Dynamics Model. For more information on the model, please refer to Johnston et al. (2021).

For more information about the RPA forest products market data, see Johnston et al. (2023).

The first edition of these data (https://doi.org/10.2737/RDS-2022-0073) was published on 11/04/2022. We recommend the use of this second edition, published on 07/10/2023, which includes the following updates: the standing stock projected by FOROM was re-calibrated to better align with the projection of the RPA Forest Dynamics Model. All other projections contained within the dataset remain unchanged. Minor metadata updates were made on 09/12/2023.