Soft Sawnwood Monthly Price - Algerian Dinar per Metric Ton

Data as of March 2026

Range
May 2010 - Mar 2026: 16,962.300 (73.32%)
Chart

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

Unit: Algerian Dinar 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
May 201023,134.68-
Jun 201023,233.730.43%
Jul 201023,442.180.90%
Aug 201024,131.322.94%
Sep 201024,167.470.15%
Oct 201023,324.87-3.49%
Nov 201020,566.21-11.83%
Dec 201023,445.9414.00%
Jan 201122,516.45-3.96%
Feb 201121,313.64-5.34%
Mar 201120,519.00-3.73%
Apr 201119,663.43-4.17%
May 201120,655.895.05%
Jun 201121,043.191.88%
Jul 201122,177.155.39%
Aug 201122,982.743.63%
Sep 201122,439.57-2.36%
Oct 201123,007.262.53%
Nov 201123,276.661.17%
Dec 201122,193.62-4.65%
Jan 201223,763.547.07%
Feb 201223,693.57-0.29%
Mar 201222,467.25-5.18%
Apr 201223,763.075.77%
May 201224,881.204.71%
Jun 201224,777.79-0.42%
Jul 201225,328.852.22%
Aug 201226,237.143.59%
Sep 201225,742.42-1.89%
Oct 201224,962.99-3.03%
Nov 201225,946.283.94%
Dec 201223,397.56-9.82%
Jan 201323,535.380.59%
Feb 201323,749.050.91%
Mar 201324,550.403.37%
Apr 201325,488.703.82%
May 201328,233.1310.77%
Jun 201327,924.39-1.09%
Jul 201327,687.28-0.85%
Aug 201327,752.610.24%
Sep 201326,952.72-2.88%
Oct 201326,377.05-2.14%
Nov 201326,722.801.31%
Dec 201327,822.524.12%
Jan 201426,446.79-4.94%
Feb 201426,559.940.43%
Mar 201427,525.363.63%
Apr 201426,257.46-4.61%
May 201426,106.52-0.57%
Jun 201426,314.200.80%
Jul 201425,620.54-2.64%
Aug 201425,591.90-0.11%
Sep 201426,628.124.05%
Oct 201426,430.02-0.74%
Nov 201428,599.178.21%
Dec 201429,513.083.20%
Jan 201531,425.046.48%
Feb 201531,652.830.72%
Mar 201531,079.25-1.81%
Apr 201533,040.056.31%
May 201532,593.48-1.35%
Jun 201530,205.92-7.33%
Jul 201530,017.81-0.62%
Aug 201531,851.496.11%
Sep 201532,221.091.16%
Oct 201532,617.021.23%
Nov 201533,969.804.15%
Dec 201531,662.27-6.79%
Jan 201633,809.556.78%
Feb 201634,916.963.28%
Mar 201634,563.58-1.01%
Apr 201635,123.611.62%
May 201636,477.103.85%
Jun 201636,400.29-0.21%
Jul 201635,499.99-2.47%
Aug 201635,266.62-0.66%
Sep 201636,518.943.55%
Oct 201636,445.63-0.20%
Nov 201636,228.04-0.60%
Dec 201635,845.59-1.06%
Jan 201735,091.31-2.10%
Feb 201734,330.79-2.17%
Mar 201732,324.35-5.84%
Apr 201734,789.837.63%
May 201734,592.54-0.57%
Jun 201735,777.233.42%
Jul 201735,783.370.02%
Aug 201735,220.55-1.57%
Sep 201734,945.65-0.78%
Oct 201737,116.146.21%
Nov 201738,502.773.74%
Dec 201737,723.31-2.02%
Jan 201839,390.734.42%
Feb 201838,430.28-2.44%
Mar 201838,389.06-0.11%
Apr 201837,844.54-1.42%
May 201840,423.886.82%
Jun 201841,684.193.12%
Jul 201841,579.70-0.25%
Aug 201839,962.51-3.89%
Sep 201840,393.971.08%
Oct 201839,957.59-1.08%
Nov 201840,357.551.00%
Dec 201843,873.378.71%
Jan 201942,360.93-3.45%
Feb 201940,633.63-4.08%
Mar 201941,160.541.30%
Apr 201939,976.21-2.88%
May 201943,713.779.35%
Jun 201942,109.09-3.67%
Jul 201942,550.771.05%
Aug 201944,073.163.58%
Sep 201943,656.47-0.95%
Oct 201941,802.00-4.25%
Nov 201943,745.304.65%
Dec 201941,112.83-6.02%
Jan 202043,736.826.38%
Feb 202040,691.34-6.96%
Mar 202043,857.557.78%
Apr 202045,656.114.10%
May 202045,648.30-0.02%
Jun 202045,130.83-1.13%
Jul 202042,966.71-4.80%
Aug 202043,331.350.85%
Sep 202042,701.89-1.45%
Oct 202045,230.185.92%
Nov 202046,300.902.37%
Dec 202043,311.85-6.46%
Jan 202146,956.368.41%
Feb 202144,340.48-5.57%
Mar 202149,123.3010.79%
Apr 202152,628.197.13%
May 202156,264.776.91%
Jun 202158,422.863.84%
Jul 202149,776.43-14.80%
Aug 202144,729.26-10.14%
Sep 202140,208.92-10.11%
Oct 202142,595.255.93%
Nov 202142,816.130.52%
Dec 202143,861.412.44%
Jan 202245,680.154.15%
Feb 202247,571.204.14%
Mar 202266,395.5239.57%
Apr 202263,469.07-4.41%
May 202262,803.83-1.05%
Jun 202260,880.49-3.06%
Jul 202258,643.04-3.68%
Aug 202261,249.284.44%
Sep 202256,960.07-7.00%
Oct 202254,452.27-4.40%
Nov 202253,885.73-1.04%
Dec 202250,498.20-6.29%
Jan 202341,880.56-17.07%
Feb 202345,274.768.10%
Mar 202342,201.46-6.79%
Apr 202340,970.56-2.92%
May 202346,267.7912.93%
Jun 202342,629.68-7.86%
Jul 202343,031.320.94%
Aug 202343,942.252.12%
Sep 202345,962.764.60%
Oct 202343,635.01-5.06%
Nov 202340,897.78-6.27%
Dec 202342,348.963.55%
Jan 202444,975.166.20%
Feb 202444,147.99-1.84%
Mar 202445,949.474.08%
Apr 202442,532.42-7.44%
May 202443,761.932.89%
Jun 202441,351.89-5.51%
Jul 202441,555.610.49%
Aug 202440,957.18-1.44%
Sep 202443,641.726.55%
Oct 202438,883.89-10.90%
Nov 202441,084.235.66%
Dec 202447,495.3115.60%
Jan 202542,550.05-10.41%
Feb 202545,665.167.32%
Mar 202544,430.15-2.70%
Apr 202542,253.47-4.90%
May 202543,135.832.09%
Jun 202543,996.692.00%
Jul 202543,821.65-0.40%
Aug 202540,896.44-6.68%
Sep 202538,890.44-4.91%
Oct 202536,010.27-7.41%
Nov 202537,804.874.98%
Dec 202537,976.210.45%
Jan 202639,485.243.97%
Feb 202639,435.04-0.13%
Mar 202640,096.981.68%

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