Soft Sawnwood Monthly Price - Danish Krone per Metric Ton

Data as of March 2026

Range
Apr 2006 - Mar 2026: 85.946 (4.58%)
Chart

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

Unit: Danish Krone 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 20061,878.34-
May 20061,915.221.96%
Jun 20062,064.697.80%
Jul 20062,105.401.97%
Aug 20062,147.982.02%
Sep 20062,082.20-3.06%
Oct 20062,202.865.79%
Nov 20062,028.25-7.93%
Dec 20062,070.912.10%
Jan 20072,036.21-1.68%
Feb 20072,107.673.51%
Mar 20071,932.89-8.29%
Apr 20071,949.450.86%
May 20071,996.222.40%
Jun 20071,884.84-5.58%
Jul 20071,676.61-11.05%
Aug 20071,359.78-18.90%
Sep 20071,696.7524.78%
Oct 20071,546.72-8.84%
Nov 20071,556.750.65%
Dec 20071,591.222.21%
Jan 20081,634.462.72%
Feb 20081,576.82-3.53%
Mar 20081,432.00-9.18%
Apr 20081,381.40-3.53%
May 20081,465.356.08%
Jun 20081,409.37-3.82%
Jul 20081,571.8811.53%
Aug 20081,570.07-0.12%
Sep 20081,622.713.35%
Oct 20081,819.3712.12%
Nov 20081,949.397.15%
Dec 20081,757.96-9.82%
Jan 20091,960.5911.53%
Feb 20091,854.90-5.39%
Mar 20091,760.54-5.09%
Apr 20091,777.900.99%
May 20091,806.271.60%
Jun 20091,732.23-4.10%
Jul 20091,663.44-3.97%
Aug 20091,636.52-1.62%
Sep 20091,491.40-8.87%
Oct 20091,448.26-2.89%
Nov 20091,545.726.73%
Dec 20091,637.335.93%
Jan 20101,640.850.22%
Feb 20101,666.061.54%
Mar 20101,730.503.87%
Apr 20101,686.60-2.54%
May 20101,814.757.60%
Jun 20101,872.233.17%
Jul 20101,831.32-2.18%
Aug 20101,850.381.04%
Sep 20101,833.51-0.91%
Oct 20101,686.71-8.01%
Nov 20101,502.38-10.93%
Dec 20101,777.0218.28%
Jan 20111,712.35-3.64%
Feb 20111,597.95-6.68%
Mar 20111,512.22-5.36%
Apr 20111,416.84-6.31%
May 20111,486.884.94%
Jun 20111,517.522.06%
Jul 20111,608.265.98%
Aug 20111,655.242.92%
Sep 20111,651.07-0.25%
Oct 20111,698.222.86%
Nov 20111,727.291.71%
Dec 20111,673.82-3.10%
Jan 20121,794.797.23%
Feb 20121,781.84-0.72%
Mar 20121,699.84-4.60%
Apr 20121,810.646.52%
May 20121,921.686.13%
Jun 20121,889.56-1.67%
Jul 20121,897.950.44%
Aug 20121,942.282.34%
Sep 20121,874.08-3.51%
Oct 20121,810.20-3.41%
Nov 20121,901.095.02%
Dec 20121,702.61-10.44%
Jan 20131,696.32-0.37%
Feb 20131,701.590.31%
Mar 20131,792.825.36%
Apr 20131,854.753.45%
May 20132,053.3010.71%
Jun 20132,002.92-2.45%
Jul 20131,989.33-0.68%
Aug 20131,935.99-2.68%
Sep 20131,844.41-4.73%
Oct 20131,773.80-3.83%
Nov 20131,839.483.70%
Dec 20131,926.184.71%
Jan 20141,855.13-3.69%
Feb 20141,863.490.45%
Mar 20141,915.102.77%
Apr 20141,805.46-5.73%
May 20141,796.56-0.49%
Jun 20141,820.791.35%
Jul 20141,775.48-2.49%
Aug 20141,790.830.86%
Sep 20141,892.145.66%
Oct 20141,860.33-1.68%
Nov 20142,013.388.23%
Dec 20142,046.141.63%
Jan 20152,255.4410.23%
Feb 20152,213.00-1.88%
Mar 20152,215.220.10%
Apr 20152,337.075.50%
May 20152,220.12-5.00%
Jun 20152,039.37-8.14%
Jul 20152,046.580.35%
Aug 20152,059.310.62%
Sep 20152,020.00-1.91%
Oct 20152,044.521.21%
Nov 20152,186.986.97%
Dec 20152,025.86-7.37%
Jan 20162,161.716.71%
Feb 20162,203.751.94%
Mar 20162,122.04-3.71%
Apr 20162,118.71-0.16%
May 20162,186.473.20%
Jun 20162,189.140.12%
Jul 20162,157.29-1.45%
Aug 20162,137.89-0.90%
Sep 20162,219.013.79%
Oct 20162,232.120.59%
Nov 20162,251.500.87%
Dec 20162,280.781.30%
Jan 20172,233.55-2.07%
Feb 20172,181.59-2.33%
Mar 20172,047.36-6.15%
Apr 20172,193.367.13%
May 20172,139.37-2.46%
Jun 20172,186.912.22%
Jul 20172,123.69-2.89%
Aug 20172,023.05-4.74%
Sep 20171,952.17-3.50%
Oct 20172,057.695.41%
Nov 20172,123.633.20%
Dec 20172,058.31-3.08%
Jan 20182,107.102.37%
Feb 20182,034.10-3.46%
Mar 20182,032.00-0.10%
Apr 20182,007.70-1.20%
May 20182,196.089.38%
Jun 20182,272.973.50%
Jul 20182,252.22-0.91%
Aug 20182,179.06-3.25%
Sep 20182,189.820.49%
Oct 20182,187.05-0.13%
Nov 20182,235.802.23%
Dec 20182,428.058.60%
Jan 20192,340.33-3.61%
Feb 20192,252.07-3.77%
Mar 20192,284.251.43%
Apr 20192,225.25-2.58%
May 20192,441.529.72%
Jun 20192,338.36-4.23%
Jul 20192,373.401.50%
Aug 20192,469.034.03%
Sep 20192,464.81-0.17%
Oct 20192,356.07-4.41%
Nov 20192,466.494.69%
Dec 20192,311.35-6.29%
Jan 20202,460.176.44%
Feb 20202,312.73-5.99%
Mar 20202,445.345.73%
Apr 20202,458.850.55%
May 20202,427.11-1.29%
Jun 20202,321.33-4.36%
Jul 20202,169.08-6.56%
Aug 20202,125.76-2.00%
Sep 20202,092.73-1.55%
Oct 20202,217.945.98%
Nov 20202,264.312.09%
Dec 20202,020.98-10.75%
Jan 20212,162.667.01%
Feb 20212,049.95-5.21%
Mar 20212,295.5511.98%
Apr 20212,455.026.95%
May 20212,580.155.10%
Jun 20212,693.864.41%
Jul 20212,322.56-13.78%
Aug 20212,088.60-10.07%
Sep 20211,863.15-10.79%
Oct 20211,991.836.91%
Nov 20212,016.401.23%
Dec 20212,076.993.00%
Jan 20222,154.453.73%
Feb 20222,219.913.04%
Mar 20223,146.5141.74%
Apr 20223,043.66-3.27%
May 20223,038.28-0.18%
Jun 20222,936.25-3.36%
Jul 20222,933.98-0.08%
Aug 20223,160.027.70%
Sep 20223,042.84-3.71%
Oct 20222,938.81-3.42%
Nov 20222,827.31-3.79%
Dec 20222,580.74-8.72%
Jan 20232,123.44-17.72%
Feb 20232,305.788.59%
Mar 20232,159.64-6.34%
Apr 20232,054.89-4.85%
May 20232,331.4813.46%
Jun 20232,152.54-7.67%
Jul 20232,145.82-0.31%
Aug 20232,206.582.83%
Sep 20232,342.906.18%
Oct 20232,246.88-4.10%
Nov 20232,101.56-6.47%
Dec 20232,161.422.85%
Jan 20242,288.665.89%
Feb 20242,267.41-0.93%
Mar 20242,343.243.34%
Apr 20242,199.45-6.14%
May 20242,246.322.13%
Jun 20242,132.01-5.09%
Jul 20242,127.17-0.23%
Aug 20242,068.04-2.78%
Sep 20242,214.357.08%
Oct 20241,996.37-9.84%
Nov 20242,160.238.21%
Dec 20242,523.1416.80%
Jan 20252,262.38-10.33%
Feb 20252,423.277.11%
Mar 20252,295.19-5.29%
Apr 20252,124.43-7.44%
May 20252,152.261.31%
Jun 20252,179.331.26%
Jul 20252,158.44-0.96%
Aug 20252,017.85-6.51%
Sep 20251,910.27-5.33%
Oct 20251,778.45-6.90%
Nov 20251,872.985.32%
Dec 20251,869.73-0.17%
Jan 20261,946.194.09%
Feb 20261,919.85-1.35%
Mar 20261,964.282.31%

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