Soft Sawnwood Monthly Price - Australian Dollar per Metric Ton

Data as of March 2026

Range
Apr 1996 - Mar 2026: 42.495 (10.89%)
Chart

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

Unit: Australian Dollar 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 1996390.34-
May 1996371.71-4.77%
Jun 1996396.276.61%
Jul 1996385.97-2.60%
Aug 1996397.312.94%
Sep 1996423.936.70%
Oct 1996400.11-5.62%
Nov 1996422.425.57%
Dec 1996387.74-8.21%
Jan 1997397.542.53%
Feb 1997409.442.99%
Mar 1997377.99-7.68%
Apr 1997346.88-8.23%
May 1997403.9616.46%
Jun 1997370.51-8.28%
Jul 1997408.5810.27%
Aug 1997390.97-4.31%
Sep 1997412.655.55%
Oct 1997386.44-6.35%
Nov 1997430.2911.35%
Dec 1997415.72-3.38%
Jan 1998439.315.67%
Feb 1998412.45-6.11%
Mar 1998415.940.85%
Apr 1998429.693.31%
May 1998471.469.72%
Jun 1998482.252.29%
Jul 1998434.12-9.98%
Aug 1998456.645.19%
Sep 1998470.292.99%
Oct 1998429.58-8.66%
Nov 1998444.423.46%
Dec 1998458.313.12%
Jan 1999460.750.53%
Feb 1999447.51-2.87%
Mar 1999477.196.63%
Apr 1999444.23-6.91%
May 1999458.823.28%
Jun 1999443.38-3.36%
Jul 1999442.37-0.23%
Aug 1999459.313.83%
Sep 1999485.345.67%
Oct 1999496.172.23%
Nov 1999484.22-2.41%
Dec 1999490.951.39%
Jan 2000448.85-8.58%
Feb 2000497.2710.79%
Mar 2000526.115.80%
Apr 2000499.68-5.02%
May 2000537.557.58%
Jun 2000510.95-4.95%
Jul 2000493.06-3.50%
Aug 2000410.44-16.76%
Sep 2000497.1821.14%
Oct 2000511.912.96%
Nov 2000554.588.34%
Dec 2000388.18-30.00%
Jan 2001495.5127.65%
Feb 2001541.829.35%
Mar 2001523.29-3.42%
Apr 2001578.5010.55%
May 2001529.95-8.39%
Jun 2001589.4211.22%
Jul 2001567.37-3.74%
Aug 2001556.60-1.90%
Sep 2001559.270.48%
Oct 2001542.80-2.95%
Nov 2001558.922.97%
Dec 2001518.85-7.17%
Jan 2002489.33-5.69%
Feb 2002529.208.15%
Mar 2002460.56-12.97%
Apr 2002463.600.66%
May 2002462.88-0.16%
Jun 2002456.57-1.36%
Jul 2002518.4613.55%
Aug 2002518.600.03%
Sep 2002565.419.03%
Oct 2002543.80-3.82%
Nov 2002506.10-6.93%
Dec 2002515.861.93%
Jan 2003506.81-1.75%
Feb 2003467.08-7.84%
Mar 2003427.38-8.50%
Apr 2003487.5814.09%
May 2003425.28-12.78%
Jun 2003437.062.77%
Jul 2003448.692.66%
Aug 2003446.96-0.39%
Sep 2003442.79-0.93%
Oct 2003411.87-6.98%
Nov 2003395.75-3.91%
Dec 2003365.21-7.72%
Jan 2004357.99-1.98%
Feb 2004390.239.01%
Mar 2004410.045.08%
Apr 2004402.19-1.92%
May 2004488.2521.40%
Jun 2004494.261.23%
Jul 2004484.89-1.90%
Aug 2004500.133.14%
Sep 2004488.73-2.28%
Oct 2004476.79-2.44%
Nov 2004426.06-10.64%
Dec 2004381.33-10.50%
Jan 2005430.2412.82%
Feb 2005405.24-5.81%
Mar 2005457.5312.91%
Apr 2005421.83-7.80%
May 2005436.663.52%
Jun 2005426.95-2.22%
Jul 2005396.28-7.18%
Aug 2005439.0310.79%
Sep 2005432.65-1.45%
Oct 2005440.161.74%
Nov 2005453.242.97%
Dec 2005429.95-5.14%
Jan 2006411.86-4.21%
Feb 2006438.106.37%
Mar 2006436.81-0.30%
Apr 2006420.68-3.69%
May 2006429.482.09%
Jun 2006472.6410.05%
Jul 2006476.720.86%
Aug 2006483.361.39%
Sep 2006469.53-2.86%
Oct 2006494.325.28%
Nov 2006453.48-8.26%
Dec 2006466.902.96%
Jan 2007452.98-2.98%
Feb 2007472.584.33%
Mar 2007433.94-8.18%
Apr 2007428.63-1.22%
May 2007438.872.39%
Jun 2007403.33-8.10%
Jul 2007356.28-11.66%
Aug 2007300.73-15.59%
Sep 2007374.0724.39%
Oct 2007328.37-12.22%
Nov 2007341.383.96%
Dec 2007356.294.37%
Jan 2008366.302.81%
Feb 2008341.64-6.73%
Mar 2008322.12-5.71%
Apr 2008313.33-2.73%
May 2008322.072.79%
Jun 2008309.23-3.99%
Jul 2008345.2411.65%
Aug 2008357.843.65%
Sep 2008381.126.51%
Oct 2008475.1324.67%
Nov 2008508.577.04%
Dec 2008472.28-7.13%
Jan 2009513.778.78%
Feb 2009490.46-4.54%
Mar 2009464.20-5.35%
Apr 2009441.91-4.80%
May 2009433.26-1.96%
Jun 2009405.98-6.30%
Jul 2009391.61-3.54%
Aug 2009375.93-4.00%
Sep 2009338.89-9.85%
Oct 2009317.21-6.40%
Nov 2009336.746.16%
Dec 2009356.655.91%
Jan 2010343.96-3.56%
Feb 2010345.620.48%
Mar 2010345.960.10%
Apr 2010327.72-5.27%
May 2010352.277.49%
Jun 2010360.302.28%
Jul 2010358.86-0.40%
Aug 2010355.79-0.85%
Sep 2010343.64-3.42%
Oct 2010320.46-6.75%
Nov 2010278.83-12.99%
Dec 2010318.7714.32%
Jan 2011308.65-3.17%
Feb 2011290.06-6.02%
Mar 2011281.02-3.12%
Apr 2011259.86-7.53%
May 2011267.803.06%
Jun 2011275.963.05%
Jul 2011285.533.47%
Aug 2011304.016.47%
Sep 2011298.54-1.80%
Oct 2011308.383.29%
Nov 2011310.930.83%
Dec 2011293.27-5.68%
Jan 2012299.942.27%
Feb 2012295.52-1.47%
Mar 2012286.26-3.13%
Apr 2012309.628.16%
May 2012331.557.08%
Jun 2012319.07-3.77%
Jul 2012304.31-4.63%
Aug 2012308.991.54%
Sep 2012311.090.68%
Oct 2012306.06-1.62%
Nov 2012313.632.47%
Dec 2012285.38-9.01%
Jan 2013287.570.77%
Feb 2013295.432.73%
Mar 2013301.742.14%
Apr 2013312.023.41%
May 2013360.6115.57%
Jun 2013375.784.21%
Jul 2013380.611.29%
Aug 2013382.080.39%
Sep 2013355.24-7.02%
Oct 2013340.74-4.08%
Nov 2013355.494.33%
Dec 2013393.6310.73%
Jan 2014381.65-3.04%
Feb 2014380.27-0.36%
Mar 2014390.812.77%
Apr 2014358.60-8.24%
May 2014355.66-0.82%
Jun 2014354.31-0.38%
Jul 2014343.15-3.15%
Aug 2014343.800.19%
Sep 2014361.505.15%
Oct 2014360.39-0.30%
Nov 2014389.558.09%
Dec 2014411.375.60%
Jan 2015434.945.73%
Feb 2015432.53-0.55%
Mar 2015416.22-3.77%
Apr 2015435.934.74%
May 2015419.02-3.88%
Jun 2015396.86-5.29%
Jul 2015406.582.45%
Aug 2015421.363.63%
Sep 2015430.492.17%
Oct 2015427.16-0.77%
Nov 2015440.973.23%
Dec 2015407.29-7.64%
Jan 2016448.1310.03%
Feb 2016459.442.52%
Mar 2016421.94-8.16%
Apr 2016421.46-0.11%
May 2016453.457.59%
Jun 2016447.23-1.37%
Jul 2016426.33-4.67%
Aug 2016422.06-1.00%
Sep 2016440.224.31%
Oct 2016434.11-1.39%
Nov 2016433.73-0.09%
Dec 2016439.311.29%
Jan 2017429.17-2.31%
Feb 2017407.49-5.05%
Mar 2017385.72-5.34%
Apr 2017419.958.87%
May 2017427.181.72%
Jun 2017436.832.26%
Jul 2017421.77-3.45%
Aug 2017405.64-3.82%
Sep 2017392.14-3.33%
Oct 2017417.156.38%
Nov 2017438.795.19%
Dec 2017428.58-2.33%
Jan 2018434.421.36%
Feb 2018428.12-1.45%
Mar 2018433.301.21%
Apr 2018430.32-0.69%
May 2018462.897.57%
Jun 2018475.552.73%
Jul 2018476.950.29%
Aug 2018460.73-3.40%
Sep 2018475.323.17%
Oct 2018473.88-0.30%
Nov 2018470.05-0.81%
Dec 2018514.099.37%
Jan 2019501.19-2.51%
Feb 2019479.58-4.31%
Mar 2019488.601.88%
Apr 2019470.81-3.64%
May 2019526.4311.81%
Jun 2019509.54-3.21%
Jul 2019510.300.15%
Aug 2019543.896.58%
Sep 2019533.55-1.90%
Oct 2019513.31-3.79%
Nov 2019533.974.03%
Dec 2019501.56-6.07%
Jan 2020532.046.08%
Feb 2020506.21-4.85%
Mar 2020584.0015.37%
Apr 2020568.77-2.61%
May 2020545.00-4.18%
Jun 2020508.11-6.77%
Jul 2020475.75-6.37%
Aug 2020469.06-1.41%
Sep 2020458.32-2.29%
Oct 2020492.677.49%
Nov 2020496.010.68%
Dec 2020440.25-11.24%
Jan 2021458.084.05%
Feb 2021430.36-6.05%
Mar 2021476.3610.69%
Apr 2021514.257.95%
May 2021542.785.55%
Jun 2021570.855.17%
Jul 2021497.48-12.85%
Aug 2021453.02-8.94%
Sep 2021403.16-11.01%
Oct 2021419.454.04%
Nov 2021422.950.83%
Dec 2021442.984.74%
Jan 2022456.253.00%
Feb 2022473.073.69%
Mar 2022632.0633.61%
Apr 2022597.93-5.40%
May 2022612.342.41%
Jun 2022593.87-3.02%
Jul 2022584.27-1.62%
Aug 2022618.115.79%
Sep 2022606.45-1.89%
Oct 2022610.660.69%
Nov 2022588.44-3.64%
Dec 2022543.39-7.66%
Jan 2023442.25-18.61%
Feb 2023480.268.59%
Mar 2023464.03-3.38%
Apr 2023451.90-2.61%
May 2023511.4313.17%
Jun 2023468.02-8.49%
Jul 2023472.801.02%
Aug 2023497.895.31%
Sep 2023522.334.91%
Oct 2023501.03-4.08%
Nov 2023469.19-6.36%
Dec 2023473.690.96%
Jan 2024503.166.22%
Feb 2024502.88-0.06%
Mar 2024521.303.66%
Apr 2024485.78-6.81%
May 2024492.091.30%
Jun 2024462.60-5.99%
Jul 2024463.860.27%
Aug 2024458.27-1.21%
Sep 2024486.966.26%
Oct 2024435.27-10.61%
Nov 2024470.708.14%
Dec 2024557.2318.38%
Jan 2025504.41-9.48%
Feb 2025537.286.52%
Mar 2025528.06-1.72%
Apr 2025508.02-3.79%
May 2025505.02-0.59%
Jun 2025518.292.63%
Jul 2025516.01-0.44%
Aug 2025484.90-6.03%
Sep 2025455.39-6.09%
Oct 2025423.24-7.06%
Nov 2025445.745.32%
Dec 2025442.10-0.82%
Jan 2026453.172.50%
Feb 2026431.12-4.86%
Mar 2026432.840.40%

Commodities Market

  • Buyers: Request price quotes
  • Sellers: List your products
Sign up to get an email when we update our commodities data

 


Your email will never be shared, sold, nor rented. We hate SPAM as much you do.
Coming Soon