Soft Sawnwood Monthly Price - US Dollars per cubic meter

Data as of March 2026

Range
Sep 2003 - Mar 2026: 11.300 (3.86%)
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
Sep 2003292.74-
Oct 2003285.83-2.36%
Nov 2003283.28-0.89%
Dec 2003269.63-4.82%
Jan 2004275.442.15%
Feb 2004303.4210.16%
Mar 2004307.381.31%
Apr 2004299.19-2.66%
May 2004344.0815.00%
Jun 2004343.06-0.30%
Jul 2004347.301.24%
Aug 2004355.272.29%
Sep 2004342.72-3.53%
Oct 2004349.501.98%
Nov 2004327.98-6.16%
Dec 2004292.37-10.86%
Jan 2005328.9912.53%
Feb 2005316.35-3.84%
Mar 2005359.5213.65%
Apr 2005325.82-9.37%
May 2005334.522.67%
Jun 2005327.32-2.15%
Jul 2005298.10-8.93%
Aug 2005334.2412.12%
Sep 2005331.08-0.95%
Oct 2005331.640.17%
Nov 2005333.100.44%
Dec 2005319.36-4.12%
Jan 2006308.75-3.32%
Feb 2006324.535.11%
Mar 2006317.78-2.08%
Apr 2006309.13-2.72%
May 2006327.655.99%
Jun 2006349.856.78%
Jul 2006357.942.31%
Aug 2006368.833.04%
Sep 2006355.23-3.69%
Oct 2006372.604.89%
Nov 2006349.97-6.07%
Dec 2006367.034.87%
Jan 2007355.07-3.26%
Feb 2007369.664.11%
Mar 2007343.57-7.06%
Apr 2007353.732.96%
May 2007362.252.41%
Jun 2007339.56-6.26%
Jul 2007309.03-8.99%
Aug 2007248.86-19.47%
Sep 2007316.4127.14%
Oct 2007295.23-6.69%
Nov 2007306.633.86%
Dec 2007310.941.41%
Jan 2008322.863.83%
Feb 2008311.94-3.38%
Mar 2008298.26-4.39%
Apr 2008291.60-2.23%
May 2008305.654.82%
Jun 2008294.01-3.81%
Jul 2008332.2713.01%
Aug 2008315.06-5.18%
Sep 2008312.56-0.79%
Oct 2008324.723.89%
Nov 2008333.192.61%
Dec 2008315.35-5.35%
Jan 2009348.1410.40%
Feb 2009318.25-8.59%
Mar 2009308.08-3.20%
Apr 2009314.672.14%
May 2009330.224.94%
Jun 2009325.65-1.38%
Jul 2009314.71-3.36%
Aug 2009313.66-0.33%
Sep 2009291.75-6.99%
Oct 2009288.24-1.20%
Nov 2009309.837.49%
Dec 2009321.873.89%
Jan 2010314.61-2.26%
Feb 2010306.27-2.65%
Mar 2010315.503.01%
Apr 2010303.62-3.77%
May 2010306.981.11%
Jun 2010307.150.06%
Jul 2010313.712.14%
Aug 2010320.192.07%
Sep 2010321.740.48%
Oct 2010314.31-2.31%
Nov 2010276.87-11.91%
Dec 2010315.1813.84%
Jan 2011306.92-2.62%
Feb 2011292.50-4.70%
Mar 2011283.85-2.96%
Apr 2011274.18-3.41%
May 2011286.214.39%
Jun 2011292.582.23%
Jul 2011307.405.07%
Aug 2011318.673.67%
Sep 2011304.86-4.33%
Oct 2011312.692.57%
Nov 2011315.200.80%
Dec 2011296.67-5.88%
Jan 2012311.715.07%
Feb 2012316.881.66%
Mar 2012301.78-4.77%
Apr 2012320.466.19%
May 2012331.813.54%
Jun 2012318.56-3.99%
Jul 2012313.18-1.69%
Aug 2012323.453.28%
Sep 2012323.550.03%
Oct 2012315.02-2.64%
Nov 2012326.533.65%
Dec 2012299.16-8.38%
Jan 2013302.020.96%
Feb 2013304.970.98%
Mar 2013311.852.26%
Apr 2013324.083.92%
May 2013357.9610.45%
Jun 2013354.35-1.01%
Jul 2013349.24-1.44%
Aug 2013345.49-1.07%
Sep 2013330.05-4.47%
Oct 2013324.30-1.74%
Nov 2013332.482.52%
Dec 2013353.636.36%
Jan 2014338.55-4.26%
Feb 2014340.800.66%
Mar 2014354.534.03%
Apr 2014333.98-5.80%
May 2014331.20-0.83%
Jun 2014331.820.19%
Jul 2014322.32-2.86%
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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