Soft Sawnwood Monthly Price - Malaysian Ringgit per Metric Ton

Data as of March 2026

Range
Mar 2006 - Mar 2026: 24.085 (2.05%)
Chart

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

Unit: Malaysian Ringgit 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
Mar 20061,177.33-
Apr 20061,132.30-3.83%
May 20061,184.594.62%
Jun 20061,282.138.23%
Jul 20061,313.262.43%
Aug 20061,355.433.21%
Sep 20061,304.70-3.74%
Oct 20061,370.765.06%
Nov 20061,275.23-6.97%
Dec 20061,304.592.30%
Jan 20071,245.52-4.53%
Feb 20071,292.453.77%
Mar 20071,199.91-7.16%
Apr 20071,216.451.38%
May 20071,232.361.31%
Jun 20071,169.81-5.08%
Jul 20071,063.69-9.07%
Aug 2007867.22-18.47%
Sep 20071,098.8126.70%
Oct 2007997.43-9.23%
Nov 20071,029.513.22%
Dec 20071,036.730.70%
Jan 20081,055.071.77%
Feb 20081,005.15-4.73%
Mar 2008950.48-5.44%
Apr 2008922.08-2.99%
May 2008983.586.67%
Jun 2008957.78-2.62%
Jul 20081,079.8612.75%
Aug 20081,048.31-2.92%
Sep 20081,075.712.61%
Oct 20081,145.116.45%
Nov 20081,195.164.37%
Dec 20081,121.17-6.19%
Jan 20091,241.5210.73%
Feb 20091,157.97-6.73%
Mar 20091,131.56-2.28%
Apr 20091,135.970.39%
May 20091,163.172.39%
Jun 20091,145.70-1.50%
Jul 20091,116.14-2.58%
Aug 20091,103.36-1.14%
Sep 20091,020.22-7.53%
Oct 2009981.09-3.84%
Nov 20091,050.157.04%
Dec 20091,098.124.57%
Jan 20101,061.86-3.30%
Feb 20101,046.12-1.48%
Mar 20101,049.210.29%
Apr 2010973.48-7.22%
May 2010999.652.69%
Jun 20101,002.690.30%
Jul 20101,006.680.40%
Aug 20101,009.430.27%
Sep 2010999.26-1.01%
Oct 2010974.50-2.48%
Nov 2010860.89-11.66%
Dec 2010986.3214.57%
Jan 2011939.52-4.75%
Feb 2011890.58-5.21%
Mar 2011862.00-3.21%
Apr 2011826.03-4.17%
May 2011862.274.39%
Jun 2011886.452.80%
Jul 2011920.573.85%
Aug 2011951.323.34%
Sep 2011942.45-0.93%
Oct 2011981.924.19%
Nov 2011992.701.10%
Dec 2011938.31-5.48%
Jan 2012969.963.37%
Feb 2012958.54-1.18%
Mar 2012918.72-4.15%
Apr 2012981.236.80%
May 20121,027.224.69%
Jun 20121,012.69-1.41%
Jul 2012992.49-1.99%
Aug 20121,008.251.59%
Sep 2012996.75-1.14%
Oct 2012963.22-3.36%
Nov 2012998.883.70%
Dec 2012914.03-8.49%
Jan 2013918.100.45%
Feb 2013944.812.91%
Mar 2013969.512.61%
Apr 2013988.351.94%
May 20131,079.969.27%
Jun 20131,115.803.32%
Jul 20131,114.43-0.12%
Aug 20131,133.781.74%
Sep 20131,072.01-5.45%
Oct 20131,030.86-3.84%
Nov 20131,063.023.12%
Dec 20131,149.408.13%
Jan 20141,118.30-2.71%
Feb 20141,128.290.89%
Mar 20141,164.343.20%
Apr 20141,088.06-6.55%
May 20141,069.64-1.69%
Jun 20141,068.07-0.15%
Jul 20141,026.51-3.89%
Aug 20141,016.66-0.96%
Sep 20141,054.243.70%
Oct 20141,035.23-1.80%
Nov 20141,127.818.94%
Dec 20141,181.634.77%
Jan 20151,261.176.73%
Feb 20151,210.90-3.99%
Mar 20151,184.29-2.20%
Apr 20151,226.303.55%
May 20151,193.52-2.67%
Jun 20151,146.03-3.98%
Jul 20151,146.070.00%
Aug 20151,247.668.86%
Sep 20151,307.414.79%
Oct 20151,314.650.55%
Nov 20151,360.703.50%
Dec 20151,263.77-7.12%
Jan 20161,366.628.14%
Feb 20161,371.260.34%
Mar 20161,287.55-6.10%
Apr 20161,260.71-2.08%
May 20161,344.176.62%
Jun 20161,352.580.63%
Jul 20161,290.58-4.58%
Aug 20161,297.590.54%
Sep 20161,373.155.82%
Oct 20161,381.470.61%
Nov 20161,414.792.41%
Dec 20161,442.481.96%
Jan 20171,422.67-1.37%
Feb 20171,388.58-2.40%
Mar 20171,306.25-5.93%
Apr 20171,394.196.73%
May 20171,370.48-1.70%
Jun 20171,410.412.91%
Jul 20171,410.670.02%
Aug 20171,375.70-2.48%
Sep 20171,315.73-4.36%
Oct 20171,375.024.51%
Nov 20171,397.901.66%
Dec 20171,334.72-4.52%
Jan 20181,364.332.22%
Feb 20181,319.83-3.26%
Mar 20181,313.48-0.48%
Apr 20181,287.15-2.00%
May 20181,380.457.25%
Jun 20181,425.153.24%
Jul 20181,430.340.36%
Aug 20181,380.94-3.45%
Sep 20181,417.572.65%
Oct 20181,400.15-1.23%
Nov 20181,425.631.82%
Dec 20181,545.458.41%
Jan 20191,473.35-4.67%
Feb 20191,395.79-5.26%
Mar 20191,411.191.10%
Apr 20191,378.12-2.34%
May 20191,525.4810.69%
Jun 20191,472.03-3.50%
Jul 20191,470.19-0.13%
Aug 20191,542.484.92%
Sep 20191,521.17-1.38%
Oct 20191,459.79-4.03%
Nov 20191,517.413.95%
Dec 20191,426.64-5.98%
Jan 20201,491.324.53%
Feb 20201,406.21-5.71%
Mar 20201,555.4110.61%
Apr 20201,559.170.24%
May 20201,540.77-1.18%
Jun 20201,498.76-2.73%
Jul 20201,426.95-4.79%
Aug 20201,415.06-0.83%
Sep 20201,375.97-2.76%
Oct 20201,457.355.92%
Nov 20201,481.191.64%
Dec 20201,340.29-9.51%
Jan 20211,429.106.63%
Feb 20211,349.75-5.55%
Mar 20211,509.4011.83%
Apr 20211,632.838.18%
May 20211,738.616.48%
Jun 20211,804.263.78%
Jul 20211,549.33-14.13%
Aug 20211,395.47-9.93%
Sep 20211,228.14-11.99%
Oct 20211,292.975.28%
Nov 20211,293.400.03%
Dec 20211,331.922.98%
Jan 20221,371.722.99%
Feb 20221,417.363.33%
Mar 20221,957.5238.11%
Apr 20221,886.49-3.63%
May 20221,891.610.27%
Jun 20221,837.94-2.84%
Jul 20221,780.73-3.11%
Aug 20221,921.087.88%
Sep 20221,842.12-4.11%
Oct 20221,822.09-1.09%
Nov 20221,793.81-1.55%
Dec 20221,618.67-9.76%
Jan 20231,331.24-17.76%
Feb 20231,452.179.08%
Mar 20231,386.51-4.52%
Apr 20231,337.95-3.50%
May 20231,541.8515.24%
Jun 20231,453.39-5.74%
Jul 20231,463.290.68%
Aug 20231,488.391.72%
Sep 20231,569.775.47%
Oct 20231,510.32-3.79%
Nov 20231,425.25-5.63%
Dec 20231,471.563.25%
Jan 20241,567.346.51%
Feb 20241,566.76-0.04%
Mar 20241,611.502.86%
Apr 20241,507.79-6.44%
May 20241,536.021.87%
Jun 20241,448.12-5.72%
Jul 20241,446.29-0.13%
Aug 20241,348.16-6.79%
Sep 20241,402.264.01%
Oct 20241,254.11-10.57%
Nov 20241,365.478.88%
Dec 20241,581.8515.85%
Jan 20251,404.24-11.23%
Feb 20251,502.246.98%
Mar 20251,474.78-1.83%
Apr 20251,407.80-4.54%
May 20251,387.01-1.48%
Jun 20251,428.713.01%
Jul 20251,495.134.65%
Aug 20251,330.36-11.02%
Sep 20251,265.21-4.90%
Oct 20251,167.84-7.70%
Nov 20251,205.573.23%
Dec 20251,197.98-0.63%
Jan 20261,233.963.00%
Feb 20261,190.49-3.52%
Mar 20261,201.410.92%

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