Soft Sawnwood Monthly Price - Mauritius Rupee per Metric Ton

Data as of March 2026

Range
Apr 2021 - Mar 2026: -1,822.534 (-11.33%)
Chart

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

Unit: Mauritius Rupee 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 202116,083.45-
May 202117,134.026.53%
Jun 202117,963.604.84%
Jul 202115,816.38-11.95%
Aug 202114,150.30-10.53%
Sep 202112,586.36-11.05%
Oct 202113,324.835.87%
Nov 202113,381.490.43%
Dec 202113,714.432.49%
Jan 202214,281.314.13%
Feb 202214,814.743.74%
Mar 202220,559.8638.78%
Apr 202219,304.59-6.11%
May 202218,677.59-3.25%
Jun 202218,475.52-1.08%
Jul 202218,133.49-1.85%
Aug 202219,391.906.94%
Sep 202218,086.02-6.73%
Oct 202217,321.72-4.23%
Nov 202217,048.88-1.58%
Dec 202216,095.39-5.59%
Jan 202313,604.52-15.48%
Feb 202315,179.3211.58%
Mar 202314,498.43-4.49%
Apr 202313,710.60-5.43%
May 202315,498.1513.04%
Jun 202314,357.43-7.36%
Jul 202314,587.011.60%
Aug 202314,731.630.99%
Sep 202315,140.292.77%
Oct 202314,185.22-6.31%
Nov 202313,505.94-4.79%
Dec 202313,980.613.51%
Jan 202414,987.267.20%
Feb 202415,037.190.33%
Mar 202415,818.585.20%
Apr 202414,757.03-6.71%
May 202415,119.582.46%
Jun 202414,421.68-4.62%
Jul 202414,527.080.73%
Aug 202414,208.15-2.20%
Sep 202415,235.577.23%
Oct 202413,557.02-11.02%
Nov 202414,423.036.39%
Dec 202416,687.0215.70%
Jan 202514,753.14-11.59%
Feb 202515,853.997.46%
Mar 202515,187.11-4.21%
Apr 202514,410.24-5.12%
May 202514,955.253.78%
Jun 202515,408.673.03%
Jul 202515,420.270.08%
Aug 202514,453.45-6.27%
Sep 202513,757.35-4.82%
Oct 202512,645.88-8.08%
Nov 202513,392.245.90%
Dec 202513,545.961.15%
Jan 202614,170.014.61%
Feb 202614,069.05-0.71%
Mar 202614,260.921.36%

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