Soft Sawnwood Monthly Price - US Dollars per cubic meter

Data as of March 2026

Range
Jul 2014 - Mar 2026: -18.280 (-5.67%)
Chart

Description: Soft Sawnwood, average export price of Douglas Fir, U.S. Price, US Dollars per cubic meter

Unit: US Dollars per cubic meter



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
Jul 2014322.32-
Aug 2014319.86-0.76%
Sep 2014327.592.42%
Oct 2014316.65-3.34%
Nov 2014337.416.56%
Dec 2014339.550.63%
Jan 2015351.473.51%
Feb 2015336.89-4.15%
Mar 2015321.74-4.50%
Apr 2015337.304.84%
May 2015331.23-1.80%
Jun 2015306.50-7.47%
Jul 2015301.45-1.65%
Aug 2015307.301.94%
Sep 2015303.89-1.11%
Oct 2015307.681.25%
Nov 2015315.122.42%
Dec 2015295.20-6.32%
Jan 2016314.556.55%
Feb 2016327.404.09%
Mar 2016315.28-3.70%
Apr 2016322.892.41%
May 2016332.292.91%
Jun 2016330.68-0.48%
Jul 2016320.88-2.96%
Aug 2016322.230.42%
Sep 2016334.223.72%
Oct 2016330.67-1.06%
Nov 2016327.35-1.00%
Dec 2016323.32-1.23%
Jan 2017318.82-1.39%
Feb 2017312.38-2.02%
Mar 2017294.23-5.81%
Apr 2017316.347.51%
May 2017317.530.38%
Jun 2017329.883.89%
Jul 2017328.82-0.32%
Aug 2017321.10-2.35%
Sep 2017312.61-2.64%
Oct 2017325.174.02%
Nov 2017334.572.89%
Dec 2017327.30-2.17%
Jan 2018344.725.32%
Feb 2018337.23-2.17%
Mar 2018336.61-0.18%
Apr 2018331.21-1.60%
May 2018348.305.16%
Jun 2018356.302.30%
Jul 2018353.22-0.86%
Aug 2018337.50-4.45%
Sep 2018342.361.44%
Oct 2018336.68-1.66%
Nov 2018340.581.16%
Dec 2018370.148.68%
Jan 2019357.95-3.29%
Feb 2019342.58-4.29%
Mar 2019345.960.99%
Apr 2019334.98-3.17%
May 2019365.829.21%
Jun 2019353.71-3.31%
Jul 2019356.560.81%
Aug 2019368.303.29%
Sep 2019363.44-1.32%
Oct 2019348.50-4.11%
Nov 2019364.984.73%
Dec 2019343.62-5.85%
Jan 2020365.456.35%
Feb 2020337.65-7.61%
Mar 2020362.037.22%
Apr 2020357.99-1.12%
May 2020354.67-0.93%
Jun 2020350.55-1.16%
Jul 2020334.67-4.53%
Aug 2020337.670.90%
Sep 2020331.48-1.83%
Oct 2020350.885.85%
Nov 2020359.722.52%
Dec 2020329.88-8.30%
Jan 2021354.007.31%
Feb 2021333.60-5.76%
Mar 2021367.3010.10%
Apr 2021395.927.79%
May 2021421.356.42%
Jun 2021436.363.56%
Jul 2021369.01-15.43%
Aug 2021330.60-10.41%
Sep 2021294.51-10.92%
Oct 2021310.645.48%
Nov 2021309.84-0.26%
Dec 2021315.661.88%
Jan 2022327.453.74%
Feb 2022338.453.36%
Mar 2022465.9737.68%
Apr 2022442.15-5.11%
May 2022431.36-2.44%
Jun 2022417.56-3.20%
Jul 2022400.90-3.99%
Aug 2022430.177.30%
Sep 2022405.09-5.83%
Oct 2022388.23-4.16%
Nov 2022386.81-0.37%
Dec 2022366.83-5.17%
Jan 2023307.45-16.19%
Feb 2023331.907.95%
Mar 2023310.28-6.51%
Apr 2023302.52-2.50%
May 2023340.3412.50%
Jun 2023313.51-7.88%
Jul 2023318.911.72%
Aug 2023323.001.28%
Sep 2023335.423.85%
Oct 2023318.15-5.15%
Nov 2023303.99-4.45%
Dec 2023315.113.66%
Jan 2024334.576.18%
Feb 2024328.34-1.86%
Mar 2024341.764.09%
Apr 2024316.29-7.45%
May 2024325.602.94%
Jun 2024307.46-5.57%
Jul 2024309.260.59%
Aug 2024305.19-1.32%
Sep 2024329.577.99%
Oct 2024291.96-11.41%
Nov 2024307.685.38%
Dec 2024355.0015.38%
Jan 2025314.07-11.53%
Feb 2025338.157.67%
Mar 2025332.47-1.68%
Apr 2025318.81-4.11%
May 2025325.091.97%
Jun 2025336.803.60%
Jul 2025337.600.24%
Aug 2025314.76-6.77%
Sep 2025300.34-4.58%
Oct 2025277.03-7.76%
Nov 2025289.894.64%
Dec 2025292.770.99%
Jan 2026304.043.85%
Feb 2026304.040.00%
Mar 2026304.040.00%

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