Soft Sawnwood Monthly Price - Malaysian Ringgit per Metric Ton

Data as of March 2026

Range
Mar 2021 - Mar 2026: -307.989 (-20.40%)
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 20211,509.40-
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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