Soft Sawnwood Monthly Price - Won per Metric Ton

Data as of March 2026

Range
Apr 2001 - Mar 2026: 68,559.690 (17.88%)
Chart

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

Unit: Won 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 2001383,437.80-
May 2001357,916.30-6.66%
Jun 2001394,992.8010.36%
Jul 2001377,081.20-4.53%
Aug 2001375,803.30-0.34%
Sep 2001365,941.50-2.62%
Oct 2001357,323.10-2.36%
Nov 2001371,314.503.92%
Dec 2001343,442.10-7.51%
Jan 2002333,253.20-2.97%
Feb 2002358,005.907.43%
Mar 2002319,323.80-10.80%
Apr 2002327,272.002.49%
May 2002321,501.20-1.76%
Jun 2002318,171.60-1.04%
Jul 2002340,579.107.04%
Aug 2002335,887.40-1.38%
Sep 2002373,731.6011.27%
Oct 2002371,126.10-0.70%
Nov 2002344,089.10-7.29%
Dec 2002351,351.402.11%
Jan 2003347,765.10-1.02%
Feb 2003330,530.00-4.96%
Mar 2003317,184.00-4.04%
Apr 2003366,025.1015.40%
May 2003330,047.20-9.83%
Jun 2003346,624.005.02%
Jul 2003350,944.301.25%
Aug 2003342,943.80-2.28%
Sep 2003341,384.20-0.45%
Oct 2003333,354.40-2.35%
Nov 2003335,650.000.69%
Dec 2003321,656.30-4.17%
Jan 2004326,057.801.37%
Feb 2004353,995.608.57%
Mar 2004358,509.901.28%
Apr 2004344,547.20-3.89%
May 2004405,333.9017.64%
Jun 2004397,510.20-1.93%
Jul 2004402,180.001.17%
Aug 2004411,825.402.40%
Sep 2004393,433.50-4.47%
Oct 2004400,641.601.83%
Nov 2004358,224.40-10.59%
Dec 2004307,358.80-14.20%
Jan 2005341,758.3011.19%
Feb 2005323,756.80-5.27%
Mar 2005362,305.4011.91%
Apr 2005329,664.70-9.01%
May 2005335,324.701.72%
Jun 2005330,942.30-1.31%
Jul 2005309,640.00-6.44%
Aug 2005341,200.6010.19%
Sep 2005340,648.20-0.16%
Oct 2005348,645.802.35%
Nov 2005346,877.70-0.51%
Dec 2005326,937.70-5.75%
Jan 2006304,946.60-6.73%
Feb 2006314,869.303.25%
Mar 2006309,897.60-1.58%
Apr 2006295,044.50-4.79%
May 2006308,365.204.51%
Jun 2006334,168.408.37%
Jul 2006340,063.701.76%
Aug 2006354,341.704.20%
Sep 2006338,774.40-4.39%
Oct 2006355,669.504.99%
Nov 2006327,794.20-7.84%
Dec 2006339,778.003.66%
Jan 2007332,473.00-2.15%
Feb 2007346,505.404.22%
Mar 2007324,074.80-6.47%
Apr 2007329,470.801.67%
May 2007336,070.202.00%
Jun 2007314,944.30-6.29%
Jul 2007283,952.90-9.84%
Aug 2007232,441.20-18.14%
Sep 2007295,022.5026.92%
Oct 2007270,389.10-8.35%
Nov 2007281,172.803.99%
Dec 2007289,247.802.87%
Jan 2008304,258.905.19%
Feb 2008294,688.00-3.15%
Mar 2008292,110.20-0.87%
Apr 2008288,000.80-1.41%
May 2008316,877.0010.03%
Jun 2008302,614.20-4.50%
Jul 2008338,622.1011.90%
Aug 2008328,147.60-3.09%
Sep 2008353,317.807.67%
Oct 2008430,878.3021.95%
Nov 2008459,319.106.60%
Dec 2008433,240.70-5.68%
Jan 2009468,631.308.17%
Feb 2009454,925.60-2.92%
Mar 2009448,768.40-1.35%
Apr 2009422,254.30-5.91%
May 2009415,651.40-1.56%
Jun 2009410,758.60-1.18%
Jul 2009397,782.50-3.16%
Aug 2009388,435.10-2.35%
Sep 2009355,688.30-8.43%
Oct 2009338,878.00-4.73%
Nov 2009360,426.706.36%
Dec 2009375,091.204.07%
Jan 2010358,542.80-4.41%
Feb 2010354,368.00-1.16%
Mar 2010358,241.701.09%
Apr 2010339,240.20-5.30%
May 2010355,785.204.88%
Jun 2010372,418.004.67%
Jul 2010378,840.901.72%
Aug 2010377,819.80-0.27%
Sep 2010375,099.60-0.72%
Oct 2010353,452.60-5.77%
Nov 2010310,675.80-12.10%
Dec 2010361,756.1016.44%
Jan 2011343,854.80-4.95%
Feb 2011327,150.30-4.86%
Mar 2011318,606.20-2.61%
Apr 2011297,989.30-6.47%
May 2011310,138.704.08%
Jun 2011316,346.802.00%
Jul 2011325,584.302.92%
Aug 2011342,286.205.13%
Sep 2011341,916.50-0.11%
Oct 2011361,179.505.63%
Nov 2011356,248.50-1.37%
Dec 2011340,387.80-4.45%
Jan 2012357,004.904.88%
Feb 2012356,183.10-0.23%
Mar 2012339,852.30-4.58%
Apr 2012363,929.607.08%
May 2012382,835.405.19%
Jun 2012371,283.30-3.02%
Jul 2012358,039.30-3.57%
Aug 2012366,001.802.22%
Sep 2012363,844.60-0.59%
Oct 2012349,262.70-4.01%
Nov 2012355,288.701.73%
Dec 2012322,243.50-9.30%
Jan 2013321,636.20-0.19%
Feb 2013331,565.203.09%
Mar 2013343,530.703.61%
Apr 2013363,563.305.83%
May 2013397,264.009.27%
Jun 2013402,261.801.26%
Jul 2013393,235.90-2.24%
Aug 2013385,904.10-1.86%
Sep 2013358,663.30-7.06%
Oct 2013345,961.70-3.54%
Nov 2013353,260.002.11%
Dec 2013373,760.805.80%
Jan 2014360,557.60-3.53%
Feb 2014365,345.201.33%
Mar 2014379,772.503.95%
Apr 2014348,861.50-8.14%
May 2014339,605.50-2.65%
Jun 2014338,404.00-0.35%
Jul 2014328,893.90-2.81%
Aug 2014327,971.70-0.28%
Sep 2014338,813.603.31%
Oct 2014335,568.30-0.96%
Nov 2014369,162.2010.01%
Dec 2014374,974.801.57%
Jan 2015382,724.902.07%
Feb 2015370,033.30-3.32%
Mar 2015357,957.70-3.26%
Apr 2015367,206.302.58%
May 2015361,462.10-1.56%
Jun 2015340,887.90-5.69%
Jul 2015344,898.501.18%
Aug 2015362,337.405.06%
Sep 2015359,935.30-0.66%
Oct 2015353,099.70-1.90%
Nov 2015363,225.602.87%
Dec 2015346,044.20-4.73%
Jan 2016377,631.309.13%
Feb 2016398,458.105.52%
Mar 2016375,619.90-5.73%
Apr 2016370,519.50-1.36%
May 2016389,144.805.03%
Jun 2016387,158.50-0.51%
Jul 2016367,061.10-5.19%
Aug 2016358,111.10-2.44%
Sep 2016370,166.303.37%
Oct 2016371,904.600.47%
Nov 2016379,704.702.10%
Dec 2016381,936.400.59%
Jan 2017378,562.00-0.88%
Feb 2017357,866.00-5.47%
Mar 2017333,701.70-6.75%
Apr 2017358,326.207.38%
May 2017357,520.40-0.22%
Jun 2017372,619.304.22%
Jul 2017372,925.700.08%
Aug 2017363,217.60-2.60%
Sep 2017353,885.50-2.57%
Oct 2017368,094.604.02%
Nov 2017370,225.100.58%
Dec 2017355,374.20-4.01%
Jan 2018367,664.603.46%
Feb 2018364,061.60-0.98%
Mar 2018360,822.30-0.89%
Apr 2018353,651.80-1.99%
May 2018374,864.306.00%
Jun 2018389,364.603.87%
Jul 2018396,624.001.86%
Aug 2018378,388.10-4.60%
Sep 2018383,804.801.43%
Oct 2018380,724.50-0.80%
Nov 2018384,319.000.94%
Dec 2018415,996.008.24%
Jan 2019401,631.80-3.45%
Feb 2019384,415.40-4.29%
Mar 2019391,270.401.78%
Apr 2019382,210.70-2.32%
May 2019432,755.9013.22%
Jun 2019415,827.10-3.91%
Jul 2019419,145.200.80%
Aug 2019445,265.906.23%
Sep 2019434,993.30-2.31%
Oct 2019412,864.30-5.09%
Nov 2019425,705.003.11%
Dec 2019404,625.20-4.95%
Jan 2020425,589.605.18%
Feb 2020403,266.10-5.25%
Mar 2020441,707.909.53%
Apr 2020438,617.90-0.70%
May 2020435,625.40-0.68%
Jun 2020424,168.70-2.63%
Jul 2020401,178.50-5.42%
Aug 2020400,761.90-0.10%
Sep 2020390,397.90-2.59%
Oct 2020401,422.302.82%
Nov 2020402,110.200.17%
Dec 2020360,945.00-10.24%
Jan 2021388,503.807.64%
Feb 2021370,900.40-4.53%
Mar 2021415,423.0012.00%
Apr 2021443,194.706.69%
May 2021473,607.306.86%
Jun 2021489,288.503.31%
Jul 2021422,533.10-13.64%
Aug 2021383,484.40-9.24%
Sep 2021345,112.70-10.01%
Oct 2021367,431.506.47%
Nov 2021366,320.70-0.30%
Dec 2021373,413.201.94%
Jan 2022391,087.304.73%
Feb 2022405,596.403.71%
Mar 2022569,202.0040.34%
Apr 2022544,878.30-4.27%
May 2022548,747.400.71%
Jun 2022530,997.10-3.23%
Jul 2022524,358.20-1.25%
Aug 2022567,153.808.16%
Sep 2022564,467.30-0.47%
Oct 2022554,030.10-1.85%
Nov 2022528,473.40-4.61%
Dec 2022478,048.50-9.54%
Jan 2023383,238.10-19.83%
Feb 2023421,190.309.90%
Mar 2023405,169.50-3.80%
Apr 2023399,327.90-1.44%
May 2023452,041.3013.20%
Jun 2023406,761.10-10.02%
Jul 2023409,262.300.61%
Aug 2023425,866.704.06%
Sep 2023446,203.304.78%
Oct 2023429,723.50-3.69%
Nov 2023398,900.50-7.17%
Dec 2023411,579.003.18%
Jan 2024442,977.107.63%
Feb 2024437,239.40-1.30%
Mar 2024454,778.304.01%
Apr 2024432,630.50-4.87%
May 2024444,492.002.74%
Jun 2024424,329.00-4.54%
Jul 2024427,758.100.81%
Aug 2024413,272.30-3.39%
Sep 2024439,915.806.45%
Oct 2024397,548.10-9.63%
Nov 2024428,873.407.88%
Dec 2024506,163.4018.02%
Jan 2025457,272.20-9.66%
Feb 2025488,856.306.91%
Mar 2025484,390.50-0.91%
Apr 2025460,461.60-4.94%
May 2025453,652.30-1.48%
Jun 2025460,270.901.46%
Jul 2025464,537.600.93%
Aug 2025437,409.40-5.84%
Sep 2025418,080.40-4.42%
Oct 2025394,358.70-5.67%
Nov 2025422,400.307.11%
Dec 2025429,610.701.71%
Jan 2026443,374.503.20%
Feb 2026440,652.30-0.61%
Mar 2026451,997.402.57%

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