Soft Sawnwood Monthly Price - Rand per Metric Ton

Data as of March 2026

Range
Dec 2017 - Jun 2025: 1,667.489 (38.45%)
Chart

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

Unit: Rand 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
Dec 20174,336.26-
Jan 20184,211.90-2.87%
Feb 20183,992.59-5.21%
Mar 20183,981.02-0.29%
Apr 20184,011.490.77%
May 20184,368.358.90%
Jun 20184,738.288.47%
Jul 20184,724.33-0.29%
Aug 20184,756.420.68%
Sep 20185,065.626.50%
Oct 20184,876.73-3.73%
Nov 20184,811.71-1.33%
Dec 20185,254.059.19%
Jan 20194,960.33-5.59%
Feb 20194,729.81-4.65%
Mar 20194,977.105.23%
Apr 20194,738.28-4.80%
May 20195,278.4311.40%
Jun 20195,152.79-2.38%
Jul 20194,999.74-2.97%
Aug 20195,582.0811.65%
Sep 20195,388.52-3.47%
Oct 20195,197.36-3.55%
Nov 20195,402.983.96%
Dec 20194,974.25-7.94%
Jan 20205,264.295.83%
Feb 20205,057.31-3.93%
Mar 20206,008.1418.80%
Apr 20206,584.659.60%
May 20206,431.56-2.32%
Jun 20206,004.29-6.64%
Jul 20205,610.14-6.56%
Aug 20205,810.123.56%
Sep 20205,536.09-4.72%
Oct 20205,771.984.26%
Nov 20205,601.35-2.96%
Dec 20204,965.38-11.35%
Jan 20215,351.247.77%
Feb 20214,934.42-7.79%
Mar 20215,507.2911.61%
Apr 20215,702.693.55%
May 20215,935.564.08%
Jun 20216,073.202.32%
Jul 20215,377.90-11.45%
Aug 20214,900.00-8.89%
Sep 20214,289.87-12.45%
Oct 20214,612.227.51%
Nov 20214,796.504.00%
Dec 20215,002.964.30%
Jan 20225,075.411.45%
Feb 20225,154.231.55%
Mar 20226,989.3235.60%
Apr 20226,651.81-4.83%
May 20226,854.223.04%
Jun 20226,592.09-3.82%
Jul 20226,753.332.45%
Aug 20227,184.286.38%
Sep 20227,094.34-1.25%
Oct 20227,036.60-0.81%
Nov 20226,798.46-3.38%
Dec 20226,355.01-6.52%
Jan 20235,255.14-17.31%
Feb 20235,936.9212.97%
Mar 20235,675.98-4.40%
Apr 20235,499.18-3.11%
May 20236,478.3317.81%
Jun 20235,892.39-9.04%
Jul 20235,785.58-1.81%
Aug 20236,058.704.72%
Sep 20236,368.655.12%
Oct 20236,056.95-4.89%
Nov 20235,622.29-7.18%
Dec 20235,895.194.85%
Jan 20246,289.766.69%
Feb 20246,238.60-0.81%
Mar 20246,449.223.38%
Apr 20245,970.33-7.43%
May 20245,998.510.47%
Jun 20245,671.83-5.45%
Jul 20245,645.96-0.46%
Aug 20245,503.09-2.53%
Sep 20245,806.245.51%
Oct 20245,126.03-11.72%
Nov 20245,515.887.61%
Dec 20246,405.3916.13%
Jan 20255,878.53-8.23%
Feb 20256,256.306.43%
Mar 20256,079.10-2.83%
Apr 20256,020.47-0.96%
May 20255,888.79-2.19%
Jun 20256,003.751.95%

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