Soft Sawnwood Monthly Price - Pound Sterling per Metric Ton

Data as of March 2026

Range
Apr 2011 - Mar 2026: 60.142 (35.85%)
Chart

Description: Soft Sawnwood, average export price of Douglas Fir, U.S. Price, Pound Sterling per Metric Ton

Unit: Pound Sterling per Metric Ton



Source: International Monetary Fund

See also: Agricultural production statistics

See also: Top commodity suppliers

See also: Commodities glossary - Definitions of terms used in commodity trading

Overview

Soft sawnwood is dimension lumber cut from softwood species such as pine, spruce, fir, and spruce-pine-fir mixes. It is typically priced by volume, with market quotations commonly expressed in US dollars per cubic meter. In commodity references, a widely used benchmark is the average export price from the United States, which reflects tradeable grades rather than retail lumber sold to end users. Soft sawnwood is a standardized industrial material used in structural framing, roof trusses, flooring substructures, pallets, packaging, and general construction. It is distinct from hardwood lumber because it is generally lighter, easier to machine, and more closely tied to mass housing and repair-and-remodel activity. Pricing is influenced by grade, moisture content, dimensions, and whether the product is kiln-dried or green. Because lumber is bulky and costly to transport relative to value, regional supply chains and freight access play an important role in market formation.

Supply Drivers

Soft sawnwood supply is shaped by forest biology, harvesting cycles, and mill capacity. Major producing regions include Canada, the United States, Scandinavia, and parts of Russia and Central Europe, where conifer forests are extensive and suited to mechanized harvesting. Unlike annual crops, timber supply depends on long growth cycles, so output responds slowly to changes in planting, thinning, and final harvest decisions. Weather affects both forest growth and logging access: drought, storms, wildfire, insect outbreaks, and freeze-thaw conditions can disrupt standing timber availability and transport. Insect and disease pressure can also alter the quality mix of logs available to mills.

Processing capacity is another constraint. Sawmills require steady log flows, energy, labor, and capital-intensive equipment, so outages or maintenance can tighten supply even when timber is available. Transport bottlenecks matter because logs and lumber are heavy and low-value relative to freight cost; rail, truck, and port access shape export competitiveness. Regional housing cycles can also affect sawmill utilization, since mills often adjust output to match construction demand and inventory conditions. Because lumber can be stored only for limited periods without quality loss, producers manage production around seasonal logging conditions and downstream demand.

Demand Drivers

Demand for soft sawnwood is driven primarily by residential construction, renovation, and light industrial uses. Structural framing in houses and low-rise buildings is the largest end use in many markets, especially where wood-frame construction is common. Demand also comes from pallets, crates, packaging, and temporary works, which link lumber consumption to manufacturing, logistics, and trade flows. In colder climates, seasonal building patterns often create stronger demand during construction seasons, while repair-and-remodel activity provides a steadier baseline.

Substitution plays an important role. Soft sawnwood competes with steel, concrete, engineered wood products, and in some applications plastic or composite materials. Wood-frame construction is favored where labor practices, building codes, and material costs support it, while engineered products can replace some dimensional lumber in structural applications. Demand is also influenced by population growth, household formation, and income conditions because housing starts and home improvement spending respond to broader economic cycles. In packaging and pallets, demand is tied to goods movement and manufacturing output rather than housing alone. Building codes, fire standards, and efficiency requirements shape the mix of wood products used, but the basic role of soft sawnwood as a versatile structural material remains persistent.

Macro and Financial Drivers

Soft sawnwood prices are sensitive to general economic activity because construction and industrial packaging are cyclical. A stronger US dollar can affect export competitiveness by making US lumber more expensive in foreign-currency terms, while a weaker dollar can support export demand. Interest rates matter because housing and construction are credit-sensitive; higher borrowing costs typically reduce building activity and lumber consumption through the financing channel. Storage and financing costs also influence market structure: lumber is bulky, degrades if poorly stored, and ties up working capital, so inventories are costly to carry. This can produce periods of backwardation when nearby supply is tight or contango when inventories are ample. Lumber prices may also correlate with broader cyclical assets through their link to construction, manufacturing, and freight conditions, though the relationship is driven by physical demand rather than financial speculation alone.

MonthPriceChange
Apr 2011167.78-
May 2011175.384.53%
Jun 2011180.462.89%
Jul 2011190.665.65%
Aug 2011194.652.09%
Sep 2011193.17-0.76%
Oct 2011198.422.71%
Nov 2011199.040.31%
Dec 2011190.11-4.49%
Jan 2012200.845.65%
Feb 2012200.57-0.14%
Mar 2012190.80-4.87%
Apr 2012200.194.92%
May 2012208.464.13%
Jun 2012204.69-1.81%
Jul 2012200.90-1.85%
Aug 2012205.852.47%
Sep 2012200.74-2.48%
Oct 2012195.87-2.43%
Nov 2012204.524.41%
Dec 2012185.31-9.39%
Jan 2013189.172.09%
Feb 2013197.034.15%
Mar 2013206.895.01%
Apr 2013211.762.35%
May 2013233.8910.45%
Jun 2013228.96-2.11%
Jul 2013230.060.48%
Aug 2013223.01-3.06%
Sep 2013208.00-6.73%
Oct 2013201.48-3.14%
Nov 2013206.792.64%
Dec 2013215.964.44%
Jan 2014205.51-4.84%
Feb 2014206.050.27%
Mar 2014213.273.50%
Apr 2014199.54-6.44%
May 2014196.62-1.46%
Jun 2014196.30-0.16%
Jul 2014188.77-3.83%
Aug 2014191.511.45%
Sep 2014201.024.97%
Oct 2014197.10-1.95%
Nov 2014213.768.45%
Dec 2014217.021.53%
Jan 2015232.206.99%
Feb 2015219.83-5.33%
Mar 2015214.84-2.27%
Apr 2015225.725.07%
May 2015214.08-5.16%
Jun 2015197.08-7.94%
Jul 2015193.77-1.68%
Aug 2015196.941.63%
Sep 2015197.900.49%
Oct 2015200.651.39%
Nov 2015207.163.25%
Dec 2015196.94-4.93%
Jan 2016218.4310.91%
Feb 2016229.084.88%
Mar 2016221.63-3.25%
Apr 2016225.641.81%
May 2016228.791.40%
Jun 2016232.891.79%
Jul 2016244.024.78%
Aug 2016245.700.69%
Sep 2016254.383.53%
Oct 2016267.975.34%
Nov 2016263.31-1.74%
Dec 2016258.69-1.75%
Jan 2017258.30-0.15%
Feb 2017250.21-3.13%
Mar 2017238.58-4.65%
Apr 2017250.384.95%
May 2017245.58-1.92%
Jun 2017257.704.93%
Jul 2017253.13-1.77%
Aug 2017247.74-2.13%
Sep 2017234.60-5.30%
Oct 2017246.264.97%
Nov 2017253.332.87%
Dec 2017244.18-3.61%
Jan 2018249.652.24%
Feb 2018241.42-3.30%
Mar 2018240.98-0.18%
Apr 2018235.36-2.33%
May 2018258.349.76%
Jun 2018268.083.77%
Jul 2018268.260.07%
Aug 2018262.08-2.30%
Sep 2018262.130.02%
Oct 2018258.77-1.28%
Nov 2018264.002.02%
Dec 2018291.9910.60%
Jan 2019277.73-4.88%
Feb 2019263.36-5.18%
Mar 2019262.69-0.25%
Apr 2019256.83-2.23%
May 2019284.9310.94%
Jun 2019279.02-2.07%
Jul 2019285.962.49%
Aug 2019303.236.04%
Sep 2019294.04-3.03%
Oct 2019275.94-6.16%
Nov 2019283.322.68%
Dec 2019261.71-7.63%
Jan 2020279.576.82%
Feb 2020260.51-6.82%
Mar 2020292.8912.43%
Apr 2020288.50-1.50%
May 2020288.28-0.07%
Jun 2020279.98-2.88%
Jul 2020263.92-5.73%
Aug 2020257.36-2.49%
Sep 2020255.91-0.56%
Oct 2020270.555.72%
Nov 2020272.510.73%
Dec 2020246.66-9.49%
Jan 2021259.485.20%
Feb 2021240.81-7.19%
Mar 2021265.0710.07%
Apr 2021286.067.92%
May 2021299.294.62%
Jun 2021311.043.93%
Jul 2021267.31-14.06%
Aug 2021239.54-10.39%
Sep 2021214.59-10.42%
Oct 2021226.775.68%
Nov 2021229.921.39%
Dec 2021237.833.44%
Jan 2022241.721.64%
Feb 2022250.073.45%
Mar 2022353.6741.43%
Apr 2022341.52-3.44%
May 2022346.781.54%
Jun 2022339.08-2.22%
Jul 2022334.55-1.34%
Aug 2022358.517.16%
Sep 2022358.20-0.09%
Oct 2022343.78-4.02%
Nov 2022330.71-3.80%
Dec 2022300.52-9.13%
Jan 2023251.63-16.27%
Feb 2023274.279.00%
Mar 2023255.69-6.78%
Apr 2023243.00-4.96%
May 2023272.6912.22%
Jun 2023248.50-8.87%
Jul 2023247.18-0.53%
Aug 2023254.162.83%
Sep 2023270.796.54%
Oct 2023261.57-3.41%
Nov 2023245.08-6.31%
Dec 2023249.291.72%
Jan 2024263.485.69%
Feb 2024259.95-1.34%
Mar 2024268.803.41%
Apr 2024252.58-6.04%
May 2024257.892.10%
Jun 2024241.90-6.20%
Jul 2024240.34-0.64%
Aug 2024236.28-1.69%
Sep 2024249.305.51%
Oct 2024223.57-10.32%
Nov 2024241.337.95%
Dec 2024279.9115.99%
Jan 2025254.27-9.16%
Feb 2025269.956.17%
Mar 2025257.55-4.59%
Apr 2025242.68-5.77%
May 2025243.360.28%
Jun 2025248.392.07%
Jul 2025250.040.66%
Aug 2025234.16-6.35%
Sep 2025222.41-5.02%
Oct 2025207.49-6.71%
Nov 2025221.026.52%
Dec 2025218.85-0.98%
Jan 2026226.043.28%
Feb 2026223.90-0.95%
Mar 2026227.921.80%

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