Soft Sawnwood Monthly Price - Singapore Dollar per Metric Ton

Data as of March 2026

Range
Mar 2021 - Mar 2026: -104.106 (-21.11%)
Chart

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

Unit: Singapore Dollar 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 2021493.06-
Apr 2021528.197.13%
May 2021560.916.19%
Jun 2021581.693.70%
Jul 2021499.99-14.04%
Aug 2021448.00-10.40%
Sep 2021397.16-11.35%
Oct 2021419.655.66%
Nov 2021420.190.13%
Dec 2021431.182.62%
Jan 2022442.292.58%
Feb 2022455.723.04%
Mar 2022633.4238.99%
Apr 2022603.82-4.67%
May 2022596.25-1.25%
Jun 2022577.75-3.10%
Jul 2022558.99-3.25%
Aug 2022595.496.53%
Sep 2022572.81-3.81%
Oct 2022553.12-3.44%
Nov 2022537.26-2.87%
Dec 2022496.35-7.61%
Jan 2023407.79-17.84%
Feb 2023441.658.30%
Mar 2023416.22-5.76%
Apr 2023402.94-3.19%
May 2023455.6113.07%
Jun 2023422.18-7.34%
Jul 2023425.100.69%
Aug 2023436.222.62%
Sep 2023457.634.91%
Oct 2023435.58-4.82%
Nov 2023410.25-5.82%
Dec 2023420.822.58%
Jan 2024446.896.20%
Feb 2024441.47-1.21%
Mar 2024458.003.74%
Apr 2024429.20-6.29%
May 2024439.982.51%
Jun 2024415.60-5.54%
Jul 2024416.400.19%
Aug 2024401.59-3.56%
Sep 2024427.376.42%
Oct 2024382.22-10.57%
Nov 2024411.297.61%
Dec 2024478.4116.32%
Jan 2025427.79-10.58%
Feb 2025455.596.50%
Mar 2025444.26-2.49%
Apr 2025422.32-4.94%
May 2025420.82-0.35%
Jun 2025432.512.78%
Jul 2025432.530.00%
Aug 2025404.65-6.45%
Sep 2025385.87-4.64%
Oct 2025358.72-7.04%
Nov 2025377.985.37%
Dec 2025378.140.04%
Jan 2026390.763.34%
Feb 2026385.37-1.38%
Mar 2026388.950.93%

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